Jump to content

Microbiota: Difference between revisions

From Wikipedia, the free encyclopedia
Content deleted Content added
AnomieBOT (talk | contribs)
Rescuing orphaned refs ("Kucz2012" from rev 725930687; "Vest2008" from rev 725930687; "TurnHamady2009" from rev 725983939)
Citation bot (talk | contribs)
m Alter: issue, title, journal, pmid, pmc, pages. Add: issue, pmc, bibcode, pmid, display-authors, author pars. 1-30. You can use this bot yourself. Report bugs here.
Line 3: Line 3:
[[File:Skin Microbiome20169-300.jpg|thumb|Depiction of the human skin and bacteria that predominate]]
[[File:Skin Microbiome20169-300.jpg|thumb|Depiction of the human skin and bacteria that predominate]]


A '''microbiota '''is "the ecological community of [[commensalism|commensal]], [[symbiotic]] and [[pathogenic]] [[microorganisms]] that literally share our body space".<ref>{{cite journal | last1 = Lederberg | first1 = J | last2 = McCray | first2 = AT | year = 2001 | title = 'Ome Sweet 'Omics—a genealogical treasury of words | url = http://www.the-scientist.com/?articles.view/articleNo/13313/title/-Ome-Sweet--Omics---A-Genealogical-Treasury-of-Words/ | journal = Scientist | volume = 15 | issue = | page = 8 }}</ref><ref name="hmp">{{cite journal | year = 2009 | title = The NIH Human Microbiome Project | url = | journal = Genome Res | volume = 19 | issue = 12| pages = 2317–2323 | doi=10.1101/gr.096651.109 | pmid=19819907 | pmc=2792171}}</ref> [[Joshua Lederberg]] coined the term, emphasising the importance of microorganisms inhabiting the human body in health and disease. Many scientific articles distinguish '''microbiome''' and microbiota to describe either the collective [[genomes]] of the microorganisms that reside in an environmental niche or the microorganisms themselves, respectively.<ref>{{cite journal | last1 = Backhed | first1 = F | last2 = Ley | first2 = R.E. | last3 = Sonnenburg | first3 = J.L. | last4 = Peterson | first4 = D.A. | last5 = Gordon | first5 = J.I. | year = 2005 | title = Host-Bacterial Mutualism in the Human Intestine | url = | journal = Science | volume = 307 | issue = | pages = 1915–1920 | doi = 10.1126/science.1104816 }}</ref><ref>{{cite journal | last1 = Turnbaugh | first1 = P.J. | last2 = Ley | first2 = R.E. | last3 = Hamady | first3 = M. | last4 = Fraser-Liggett | first4 = C.M. | last5 = Knight | first5 = R. | last6 = Gordon | first6 = J.I. | year = 2007 | title = The Human Microbiome Project | url = | journal = Nature | volume = 449 | issue = | pages = 804–810 | doi = 10.1038/nature06244 | pmid = 17943116 }}</ref><ref>{{cite journal | last1 = Ley | first1 = R.E. | last2 = Peterson | first2 = D.A. | last3 = Gordon | first3 = J.I. | year = 2006 | title = Ecological and Evolutionary Forces Shaping Microbial Diversity in the Human Intestine | url = | journal = Cell | volume = 124 | issue = | pages = 837–848 | doi = 10.1016/j.cell.2006.02.017 | pmid=16497592}}</ref> However, by the original definitions, these terms are largely synonymous.
A '''microbiota '''is "the ecological community of [[commensalism|commensal]], [[symbiotic]] and [[pathogenic]] [[microorganisms]] that literally share our body space".<ref>{{cite journal | last1 = Lederberg | first1 = J | last2 = McCray | first2 = AT | year = 2001 | title = 'Ome Sweet 'Omics—a genealogical treasury of words | url = http://www.the-scientist.com/?articles.view/articleNo/13313/title/-Ome-Sweet--Omics---A-Genealogical-Treasury-of-Words/ | journal = Scientist | volume = 15 | issue = | page = 8 }}</ref><ref name="hmp">{{cite journal | year = 2009 | title = The NIH Human Microbiome Project | url = | journal = Genome Res | volume = 19 | issue = 12| pages = 2317–2323 | doi=10.1101/gr.096651.109 | pmid=19819907 | pmc=2792171| author1 = Nih Hmp Working | first1 = Group | last2 = Peterson | first2 = J | last3 = Garges | first3 = S | last4 = Giovanni | first4 = M | last5 = McInnes | first5 = P | last6 = Wang | first6 = L | last7 = Schloss | first7 = J. A. | last8 = Bonazzi | first8 = V | last9 = McEwen | first9 = J. E. | last10 = Wetterstrand | first10 = K. A. | last11 = Deal | first11 = C | last12 = Baker | first12 = C. C. | last13 = Di Francesco | first13 = V | last14 = Howcroft | first14 = T. K. | last15 = Karp | first15 = R. W. | last16 = Lunsford | first16 = R. D. | last17 = Wellington | first17 = C. R. | last18 = Belachew | first18 = T | last19 = Wright | first19 = M | last20 = Giblin | first20 = C | last21 = David | first21 = H | last22 = Mills | first22 = M | last23 = Salomon | first23 = R | last24 = Mullins | first24 = C | last25 = Akolkar | first25 = B | last26 = Begg | first26 = L | last27 = Davis | first27 = C | last28 = Grandison | first28 = L | last29 = Humble | first29 = M | last30 = Khalsa | first30 = J | display-authors = 29 }}</ref> [[Joshua Lederberg]] coined the term, emphasising the importance of microorganisms inhabiting the human body in health and disease. Many scientific articles distinguish '''microbiome''' and microbiota to describe either the collective [[genomes]] of the microorganisms that reside in an environmental niche or the microorganisms themselves, respectively.<ref>{{cite journal | last1 = Backhed | first1 = F | last2 = Ley | first2 = R.E. | last3 = Sonnenburg | first3 = J.L. | last4 = Peterson | first4 = D.A. | last5 = Gordon | first5 = J.I. | year = 2005 | title = Host-Bacterial Mutualism in the Human Intestine | url = | journal = Science | volume = 307 | issue = 5717| pages = 1915–1920 | doi = 10.1126/science.1104816 | pmid = 15790844 | bibcode = 2005Sci...307.1915B }}</ref><ref>{{cite journal | last1 = Turnbaugh | first1 = P.J. | last2 = Ley | first2 = R.E. | last3 = Hamady | first3 = M. | last4 = Fraser-Liggett | first4 = C.M. | last5 = Knight | first5 = R. | last6 = Gordon | first6 = J.I. | year = 2007 | title = The Human Microbiome Project | url = | journal = Nature | volume = 449 | issue = 7164| pages = 804–810 | doi = 10.1038/nature06244 | pmid = 17943116 | pmc = 3709439 | bibcode = 2007Natur.449..804T }}</ref><ref>{{cite journal | last1 = Ley | first1 = R.E. | last2 = Peterson | first2 = D.A. | last3 = Gordon | first3 = J.I. | year = 2006 | title = Ecological and Evolutionary Forces Shaping Microbial Diversity in the Human Intestine | url = | journal = Cell | volume = 124 | issue = 4| pages = 837–848 | doi = 10.1016/j.cell.2006.02.017 | pmid=16497592}}</ref> However, by the original definitions, these terms are largely synonymous.


There are trillions of microbes in the [[human microbiome]], although the entire microbiome only accounts for about for 1-3% total body mass,<ref name='NIH HMP'>{{cite web | url = http://www.nih.gov/news/health/jun2012/nhgri-13.htm | title = NIH Human Microbiome Project defines normal bacterial makeup of the body | accessdate = 2012-09-20 | last = MacDougall | first = Raymond | date = 13 June 2012 | work = [[NIH]]}}</ref> with some weight-estimates ranging as high as 3 pounds (approximately 48 ounces or 1,400 grams).{{#tag:ref|Experts estimate that microbiota outnumber human cells by 10 to 1,<ref name=hmp/> although some scientists dispute this ratio as too large.<ref name="Nature2016">{{cite journal | last=Abbott | first=Alison | title=Scientists bust myth that our bodies have more bacteria than human cells | journal=Nature | publisher=Nature Publishing Group | year=2016 | url=http://dx.doi.org/10.1038/nature.2016.19136 | doi=10.1038/nature.2016.19136 | accessdate=2016-02-09}}</ref>|group="n"}} Research into the role that microbiota in the gut might play in the human immune system started in the late 1990s.<ref>{{cite journal | last1 = Penders | first1 = J. | last2 = Stobberingh | first2 = E. E. | last3 = den Brandt | first3 = P. A. | last4 = Thijs | first4 = C. | year = 2007 | title = The role of the intestinal microbiota in the development of atopic disorders | url = | journal = Allergy | volume = 62 | issue = 11| pages = 1223–1236 | doi = 10.1111/j.1398-9995.2007.01462.x }}</ref> The microbiome of the gut has been characterised as a "forgotten organ",<ref>{{cite journal | last1 = O'Hara | first1 = A. M. | last2 = Shanahan | first2 = F. | year = 2006 | title = The gut flora as a forgotten organ | url = | journal = EMBO Reports | volume = 7 | issue = 7| pages = 688–693 | doi = 10.1038/sj.embor.7400731 | pmid = 16819463 | pmc=1500832}}</ref> and the possibility has been raised that "the mammalian immune system, which seems to be designed to control microorganisms, is in fact controlled by microorganisms".<ref>{{cite journal | last1 = Round | first1 = J. L. | last2 = Mazmanian | first2 = S. K. | year = 2009 | title = The gut microbiota shapes intestinal immune responses during health and disease | url = | journal = Nature Reviews: Immunology | volume = 9 | issue = 5| pages = 313–323 | doi = 10.1038/nri2515 }}</ref> The human microbiome may have a role in auto-immune diseases like [[diabetes]], [[rheumatoid arthritis]], [[muscular dystrophy]], [[multiple sclerosis]], [[fibromyalgia]], and perhaps some [[cancer]]s.<ref>{{cite journal | last1 = Wu | first1 = Shaoguang | display-authors = etal | year = 2009 | title = A Human Colonic Commensal Promotes Colon Tumorigenesis via Activation of T Helper Type 17 T Cell Responses | url = | journal = Nature Medicine | volume = 15 | issue = 9| pages = 1016–1022 | doi=10.1038/nm.2015 | pmid=19701202 | pmc=3034219}}</ref> A poor mix of microbes in the gut may also aggravate common [[obesity]].<ref>{{cite journal | last1 = Turnbaugh | first1 = Peter J. | display-authors = etal | year = 2009 | title = A core gut microbiome in obese and lean twins | url = | journal = Nature | volume = 457 | issue = 7228| pages = 480–484 | doi=10.1038/nature07540 | pmid=19043404 | pmc=2677729}}</ref><ref>{{cite journal | last1 = Ridaura | first1 = Vanessa K. | display-authors = etal | year = 2013 | title = Gut microbiota from twins discordant for obesity modulate metabolism in mice | url = | journal = Science | volume = 341 | issue = 6150| page = 1241214 | doi=10.1126/science.1241214}}</ref><ref>{{cite journal | last1 = Turnbaugh | first1 = Peter J. | display-authors = etal | year = 2006 | title = An obesity-associated gut microbiome with increased capacity for energy harvest | url = | journal = Nature | volume = 444 | issue = 7122| pages = 1027–131 | doi=10.1038/nature05414 | pmid=17183312}}</ref> Since some of the microbes in the human body can modify the regulation of some [[neurotransmitters]], it may be possible to use certain microorganisms to supplement treatments for [[Mood disorder|depression]], [[bipolar disorder]] and other [[stress (biology)|stress]]-related psychiatric disorders.<ref>{{cite journal | last1 = Bravo | first1 = Javier A. | display-authors = etal | year = 2011 | title = Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve | url = | journal = Proceedings of the National Academy of Sciences | volume = 108 | issue = 38| pages = 16050–16055 | doi=10.1073/pnas.1102999108 | pmid=21876150 | pmc=3179073}}</ref>
There are trillions of microbes in the [[human microbiome]], although the entire microbiome only accounts for about for 1-3% total body mass,<ref name='NIH HMP'>{{cite web | url = http://www.nih.gov/news/health/jun2012/nhgri-13.htm | title = NIH Human Microbiome Project defines normal bacterial makeup of the body | accessdate = 2012-09-20 | last = MacDougall | first = Raymond | date = 13 June 2012 | work = [[NIH]]}}</ref> with some weight-estimates ranging as high as 3 pounds (approximately 48 ounces or 1,400 grams).{{#tag:ref|Experts estimate that microbiota outnumber human cells by 10 to 1,<ref name=hmp/> although some scientists dispute this ratio as too large.<ref name="Nature2016">{{cite journal | last=Abbott | first=Alison | title=Scientists bust myth that our bodies have more bacteria than human cells | journal=Nature | publisher=Nature Publishing Group | year=2016 | url=http://dx.doi.org/10.1038/nature.2016.19136 | doi=10.1038/nature.2016.19136 | accessdate=2016-02-09}}</ref>|group="n"}} Research into the role that microbiota in the gut might play in the human immune system started in the late 1990s.<ref>{{cite journal | last1 = Penders | first1 = J. | last2 = Stobberingh | first2 = E. E. | last3 = den Brandt | first3 = P. A. | last4 = Thijs | first4 = C. | year = 2007 | title = The role of the intestinal microbiota in the development of atopic disorders | url = | journal = Allergy | volume = 62 | issue = 11| pages = 1223–1236 | doi = 10.1111/j.1398-9995.2007.01462.x | pmid = 17711557 }}</ref> The microbiome of the gut has been characterised as a "forgotten organ",<ref>{{cite journal | last1 = O'Hara | first1 = A. M. | last2 = Shanahan | first2 = F. | year = 2006 | title = The gut flora as a forgotten organ | url = | journal = EMBO Reports | volume = 7 | issue = 7| pages = 688–693 | doi = 10.1038/sj.embor.7400731 | pmid = 16819463 | pmc=1500832}}</ref> and the possibility has been raised that "the mammalian immune system, which seems to be designed to control microorganisms, is in fact controlled by microorganisms".<ref>{{cite journal | last1 = Round | first1 = J. L. | last2 = Mazmanian | first2 = S. K. | year = 2009 | title = The gut microbiota shapes intestinal immune responses during health and disease | url = | journal = Nature Reviews: Immunology | volume = 9 | issue = 5| pages = 313–323 | doi = 10.1038/nri2515 }}</ref> The human microbiome may have a role in auto-immune diseases like [[diabetes]], [[rheumatoid arthritis]], [[muscular dystrophy]], [[multiple sclerosis]], [[fibromyalgia]], and perhaps some [[cancer]]s.<ref>{{cite journal | last1 = Wu | first1 = Shaoguang | display-authors = etal | year = 2009 | title = A Human Colonic Commensal Promotes Colon Tumorigenesis via Activation of T Helper Type 17 T Cell Responses | url = | journal = Nature Medicine | volume = 15 | issue = 9| pages = 1016–1022 | doi=10.1038/nm.2015 | pmid=19701202 | pmc=3034219}}</ref> A poor mix of microbes in the gut may also aggravate common [[obesity]].<ref>{{cite journal | last1 = Turnbaugh | first1 = Peter J. | display-authors = etal | year = 2009 | title = A core gut microbiome in obese and lean twins | url = | journal = Nature | volume = 457 | issue = 7228| pages = 480–484 | doi=10.1038/nature07540 | pmid=19043404 | pmc=2677729| bibcode = 2009Natur.457..480T }}</ref><ref>{{cite journal | last1 = Ridaura | first1 = Vanessa K. | display-authors = etal | year = 2013 | title = Gut microbiota from twins discordant for obesity modulate metabolism in mice | url = | journal = Science | volume = 341 | issue = 6150| page = 1241214 | doi=10.1126/science.1241214}}</ref><ref>{{cite journal | last1 = Turnbaugh | first1 = Peter J. | display-authors = etal | year = 2006 | title = An obesity-associated gut microbiome with increased capacity for energy harvest | url = | journal = Nature | volume = 444 | issue = 7122| pages = 1027–131 | doi=10.1038/nature05414 | pmid=17183312| bibcode = 2006Natur.444.1027T }}</ref> Since some of the microbes in the human body can modify the regulation of some [[neurotransmitters]], it may be possible to use certain microorganisms to supplement treatments for [[Mood disorder|depression]], [[bipolar disorder]] and other [[stress (biology)|stress]]-related psychiatric disorders.<ref>{{cite journal | last1 = Bravo | first1 = Javier A. | display-authors = etal | year = 2011 | title = Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve | url = | journal = Proceedings of the National Academy of Sciences | volume = 108 | issue = 38| pages = 16050–16055 | doi=10.1073/pnas.1102999108 | pmid=21876150 | pmc=3179073| bibcode = 2011PNAS..10816050B }}</ref>


The microbes being discussed are generally non-pathogenic (they do not cause disease unless they grow abnormally); they exist in harmony and [[Symbiosis|symbiotically]] with their hosts.<ref name="brock2012">
The microbes being discussed are generally non-pathogenic (they do not cause disease unless they grow abnormally); they exist in harmony and [[Symbiosis|symbiotically]] with their hosts.<ref name="brock2012">
Line 90: Line 90:
}}</ref>
}}</ref>


* [[Mice]] are the most used models for human disease. As more and more diseases are linked to dysfunctional microbiomes, mice have become the most studied organism in this regard. Mostly it is the gut microbiota that have been studied in relation to allergic airway disease, obesity, gastrointestinal diseases and diabetes. Intriguingly, recent work has shown that perinatal shifting of microbiota through administration of low dose antibiotics can have long-lasting effects on future susceptibility to allergic airway disease.<ref name=" pmid = 22422004 ">{{cite journal | author = Russell SL, , Gold MJ| title = Early life antibiotic-driven changes in microbiota enhance susceptibility to allergic asthma. | journal = EMBO Rep. | volume = 13 | issue = 5 |date=May 2012 | pmid = 22422004 | url = http://embor.embopress.org/content/13/5/440.long | pages = 440–7 | doi=10.1038/embor.2012.32|display-authors=etal}}</ref><ref name=" pmid = 25145536 ">{{cite journal |vauthors=Russell SL, Gold MJ, etal | title = Perinatal antibiotic-induced shifts in gut microbiota have differential effects on inflammatory lung diseases. | journal = J Allergy Clin Immunol. |date=Aug 2014 | pmid = 25145536 | url = http://www.sciencedirect.com/science/article/pii/S0091674914008938 | doi=10.1016/j.jaci.2014.06.027 | volume=135 | pages=100–9}}</ref> These studies showed a remarkable link between the frequency of certain subsets of microbes and disease severity. In aggregate these studies suggest that the presence of specific microbes, early in postnatal life, play an instructive role in the development of future immune responses. Mechanistically, a recent study done on gnotobiotic mice described a method in which certain strains of gut bacteria were found to transmit a particular phenotype to recipient germ-free mice, identifying an unanticipated range of bacterial strains that promoted accumulation of colonic regulatory T cells, as well as strains that modulated mouse adiposity and cecal metabolite concentrations. Another study showed that when adult germ-free mice were colonized with the gut flora of obese mice, there was a dramatic weight increase and an observed increased metabolism of monosaccharides and short-chain fatty acids. Looking at the gut flora compositions between normal and obese mice, obese mice had less Bacteroidetes than Firmicutes in abundance in gut flora and it is hypothesized that the microbiota of obese mice are more efficient at extracting energy from food.<ref name=" pmid = 17183312 ">{{cite journal |vauthors=Turnbaugh PJ, etal | title = An obesity-associated gut microbiome with increased capacity for energy harvest. | journal = Nature | volume = 444 | issue = 7122 |date=Dec 2006 | pmid = 17183312 | url = http://www.nature.com/nature/journal/v444/n7122/pdf/nature05414.pdf | pages = 1027–31 | doi=10.1038/nature05414}}</ref> This combinatorial approach enables a systems-level understanding of microbial contributions to human biology.<ref name=" pmid = 24452263 ">{{cite journal |vauthors=Faith JJ, Ahern PP, Ridaura VK, etal | title = Identifying gut microbe-host phenotype relationships using combinatorial communities in gnotobiotic mice. | journal = Sci Transl Med. | volume = 6 | issue = 220 |date=Jan 2014 | pmid = 24452263 | url = http://stm.sciencemag.org/content/6/220/220ra11.short | pages = 220 | doi=10.1126/scitranslmed.3008051 | pmc=3973144}}</ref> But also other mucoide tissues as lung and vagina have been studied in relation to diseases such as asthma, allergy and vaginosis <ref>{{cite journal | last1 = Barfod | first1 = KK | last2 = Roggenbuck | first2 = M | last3 = Hansen | first3 = LH | last4 = Schjørring | first4 = S | last5 = Larsen | first5 = ST | last6 = Sørensen | first6 = SJ | last7 = Krogfelt | first7 = KA | year = 2013 | title = The murine lung microbiome in relation to the intestinal and vaginal bacterial communities | url = | journal = BMC Microbiol | volume = 13 | issue = | page = 303 | doi = 10.1186/1471-2180-13-303 }}</ref>
* [[Mice]] are the most used models for human disease. As more and more diseases are linked to dysfunctional microbiomes, mice have become the most studied organism in this regard. Mostly it is the gut microbiota that have been studied in relation to allergic airway disease, obesity, gastrointestinal diseases and diabetes. Intriguingly, recent work has shown that perinatal shifting of microbiota through administration of low dose antibiotics can have long-lasting effects on future susceptibility to allergic airway disease.<ref name=" pmid = 22422004 ">{{cite journal | author = Russell SL, , Gold MJ| title = Early life antibiotic-driven changes in microbiota enhance susceptibility to allergic asthma | journal = EMBO Rep. | volume = 13 | issue = 5 |date=May 2012 | pmid = 22422004 | pmc = 3343350 | url = http://embor.embopress.org/content/13/5/440.long | pages = 440–7 | doi=10.1038/embor.2012.32|display-authors=etal}}</ref><ref name=" pmid = 25145536 ">{{cite journal |vauthors=Russell SL, Gold MJ, etal | title = Perinatal antibiotic-induced shifts in gut microbiota have differential effects on inflammatory lung diseases | journal = J Allergy Clin Immunol. |date=Aug 2014 | pmid = 25145536 | url = http://www.sciencedirect.com/science/article/pii/S0091674914008938 | doi=10.1016/j.jaci.2014.06.027 | volume=135 | issue = 1 | pages=100–9}}</ref> These studies showed a remarkable link between the frequency of certain subsets of microbes and disease severity. In aggregate these studies suggest that the presence of specific microbes, early in postnatal life, play an instructive role in the development of future immune responses. Mechanistically, a recent study done on gnotobiotic mice described a method in which certain strains of gut bacteria were found to transmit a particular phenotype to recipient germ-free mice, identifying an unanticipated range of bacterial strains that promoted accumulation of colonic regulatory T cells, as well as strains that modulated mouse adiposity and cecal metabolite concentrations. Another study showed that when adult germ-free mice were colonized with the gut flora of obese mice, there was a dramatic weight increase and an observed increased metabolism of monosaccharides and short-chain fatty acids. Looking at the gut flora compositions between normal and obese mice, obese mice had less Bacteroidetes than Firmicutes in abundance in gut flora and it is hypothesized that the microbiota of obese mice are more efficient at extracting energy from food.<ref name=" pmid = 17183312 ">{{cite journal |vauthors=Turnbaugh PJ, etal | title = An obesity-associated gut microbiome with increased capacity for energy harvest | journal = Nature | volume = 444 | issue = 7122 |date=Dec 2006 | pmid = 17183312 | url = http://www.nature.com/nature/journal/v444/n7122/pdf/nature05414.pdf | pages = 1027–31 | doi=10.1038/nature05414| bibcode = 2006Natur.444.1027T }}</ref> This combinatorial approach enables a systems-level understanding of microbial contributions to human biology.<ref name=" pmid = 24452263 ">{{cite journal |vauthors=Faith JJ, Ahern PP, Ridaura VK, etal | title = Identifying gut microbe-host phenotype relationships using combinatorial communities in gnotobiotic mice. | journal = Sci Transl Med. | volume = 6 | issue = 220 |date=Jan 2014 | pmid = 24452263 | url = http://stm.sciencemag.org/content/6/220/220ra11.short | pages = 220 | doi=10.1126/scitranslmed.3008051 | pmc=3973144}}</ref> But also other mucoide tissues as lung and vagina have been studied in relation to diseases such as asthma, allergy and vaginosis <ref>{{cite journal | last1 = Barfod | first1 = KK | last2 = Roggenbuck | first2 = M | last3 = Hansen | first3 = LH | last4 = Schjørring | first4 = S | last5 = Larsen | first5 = ST | last6 = Sørensen | first6 = SJ | last7 = Krogfelt | first7 = KA | year = 2013 | title = The murine lung microbiome in relation to the intestinal and vaginal bacterial communities | url = | journal = BMC Microbiol | volume = 13 | issue = | page = 303 | doi = 10.1186/1471-2180-13-303 }}</ref>


=== Plants ===
=== Plants ===
Line 134: Line 134:
}}</ref>
}}</ref>


* Plants are attractive hosts for microorganisms since they provide a variety of nutrients. Microorganisms on plants can be epiphytes (found on the plants) or endophytes (found inside plant tissue).<ref>{{Cite journal|last=Berlec|first=Aleš|date=2012-09-01|title=Novel techniques and findings in the study of plant microbiota: Search for plant probiotics|url=http://www.sciencedirect.com/science/article/pii/S0168945212001070|journal=Plant Science|volume=193–194|pages=96–102|doi=10.1016/j.plantsci.2012.05.010}}</ref><ref>{{Cite journal|last=Whipps|first=J.m.|last2=Hand|first2=P.|last3=Pink|first3=D.|last4=Bending|first4=G.d.|date=2008-12-01|title=Phyllosphere microbiology with special reference to diversity and plant genotype|url=http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2672.2008.03906.x/abstract|journal=Journal of Applied Microbiology|language=en|volume=105|issue=6|pages=1744–1755|doi=10.1111/j.1365-2672.2008.03906.x|issn=1365-2672}}</ref>
* Plants are attractive hosts for microorganisms since they provide a variety of nutrients. Microorganisms on plants can be epiphytes (found on the plants) or endophytes (found inside plant tissue).<ref>{{Cite journal|last=Berlec|first=Aleš|date=2012-09-01|title=Novel techniques and findings in the study of plant microbiota: Search for plant probiotics|url=http://www.sciencedirect.com/science/article/pii/S0168945212001070|journal=Plant Science|volume=193–194|pages=96–102|doi=10.1016/j.plantsci.2012.05.010|pmid=22794922}}</ref><ref>{{Cite journal|last=Whipps|first=J.m.|last2=Hand|first2=P.|last3=Pink|first3=D.|last4=Bending|first4=G.d.|date=2008-12-01|title=Phyllosphere microbiology with special reference to diversity and plant genotype|url=http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2672.2008.03906.x/abstract|journal=Journal of Applied Microbiology|language=en|volume=105|issue=6|pages=1744–1755|doi=10.1111/j.1365-2672.2008.03906.x|pmid=19120625|issn=1365-2672}}</ref>


== Immune system ==
== Immune system ==


The symbiotic relationship between a mammalian host and its microbiota has a significant impact on shaping the host's [[immune system]].<ref name="Round">{{cite journal | last=Round | first=June L. | last2=O'Connell | first2=Ryan M. |last3=Mazmanian |first3=Sarkis K. | title=Coordination of tolerogenic immune responses by the commensal microbiota | journal=Journal of Autoimmunity | volume=34 | issue=3 | year=2010 | pages=J220–J225 | pmid=3155383| doi=10.1016/j.jaut.2009.11.007}}</ref> In many animals, the immune system and microbiota engage in "cross-talk", exchanging chemical signals. This allows the immune system to recognize the types of bacteria that are harmful to the host and combat them, while allowing the helpful bacteria to carry out their functions; in turn, the microbiota influence immune reactivity and targeting.<ref name="Cahenzli">{{cite journal | last=Cahenzli | first=Julia | last2=Balmer | first2=Maria L. | last3=McCoy | first3=Kathy D. | title=Microbial-immune cross-talk and regulation of the immune system | journal=Immunology | volume=138 | issue=1 | year=2012 | pages=12–22 | pmid= 22804726 |doi=10.1111/j.1365-2567.2012.03624.x}}</ref> Bacteria can be transferred from mother to child through direct contact and after [[birth]], or through indirect contact through [[egg]]s, [[coprophagy]], and several other pathways.<ref name="Rosenberg Zilber-Rosenberg 2016 pp. e01395–15">{{cite journal | last=Rosenberg | first=Eugene | last2=Zilber-Rosenberg | first2=Ilana | title=Microbes Drive Evolution of Animals and Plants: the Hologenome Concept | journal=mBio | volume=7 | issue=2 | year=2016 | pages=e01395–15 | url=http://mbio.asm.org/content/7/2/e01395-15.full.pdf | doi=10.1128/mbio.01395-15 |pmid= 27034283}}</ref> As the infant microbiome is established, [[commensalism|commensal]] bacteria quickly populate the gut, prompting a range of immune responses and "programming" the immune system with long-lasting effects.<ref name="Cahenzli"/> This early colonization helps to establish the symbiotic microbiome inside the animal host early in its life.<ref name="Round" /> The bacteria are also able to stimulate lymphoid tissue associated with the gut mucosa. This enables the tissue to produce antibodies for pathogens that may enter the gut.{{cn|date=June 2016}}
The symbiotic relationship between a mammalian host and its microbiota has a significant impact on shaping the host's [[immune system]].<ref name="Round">{{cite journal | last=Round | first=June L. | last2=O'Connell | first2=Ryan M. |last3=Mazmanian |first3=Sarkis K. | title=Coordination of tolerogenic immune responses by the commensal microbiota | journal=Journal of Autoimmunity | volume=34 | issue=3 | year=2010 | pages=J220–J225 | pmid=3155383| doi=10.1016/j.jaut.2009.11.007}}</ref> In many animals, the immune system and microbiota engage in "cross-talk", exchanging chemical signals. This allows the immune system to recognize the types of bacteria that are harmful to the host and combat them, while allowing the helpful bacteria to carry out their functions; in turn, the microbiota influence immune reactivity and targeting.<ref name="Cahenzli">{{cite journal | last=Cahenzli | first=Julia | last2=Balmer | first2=Maria L. | last3=McCoy | first3=Kathy D. | title=Microbial-immune cross-talk and regulation of the immune system | journal=Immunology | volume=138 | issue=1 | year=2012 | pages=12–22 | pmid= 22804726 |doi=10.1111/j.1365-2567.2012.03624.x}}</ref> Bacteria can be transferred from mother to child through direct contact and after [[birth]], or through indirect contact through [[egg]]s, [[coprophagy]], and several other pathways.<ref name="Rosenberg Zilber-Rosenberg 2016 pp. e01395–15">{{cite journal | last=Rosenberg | first=Eugene | last2=Zilber-Rosenberg | first2=Ilana | title=Microbes Drive Evolution of Animals and Plants: the Hologenome Concept | journal=MBio | volume=7 | issue=2 | year=2016 | pages=e01395–15 | url=http://mbio.asm.org/content/7/2/e01395-15.full.pdf | doi=10.1128/mbio.01395-15 |pmid= 27034283}}</ref> As the infant microbiome is established, [[commensalism|commensal]] bacteria quickly populate the gut, prompting a range of immune responses and "programming" the immune system with long-lasting effects.<ref name="Cahenzli"/> This early colonization helps to establish the symbiotic microbiome inside the animal host early in its life.<ref name="Round" /> The bacteria are also able to stimulate lymphoid tissue associated with the gut mucosa. This enables the tissue to produce antibodies for pathogens that may enter the gut.{{cn|date=June 2016}}


It has been found that bacteria may also play a role in the activation of TLRs (toll-like receptors) in the intestines. TLRs are a type of PRR (pattern recognition receptor) used by host cells to help repair damage and recognize dangers to the host. This could be important in [[immune tolerance]] and [[autoimmune diseases]]. Pathogens could influence this symbiotic coexistence leading to immune dysregulation and susceptibility to diseases. This could provide new direction for managing immunological and [[metabolic diseases]].<ref>{{cite journal | last1 = Nikoopour | first1 = E | last2 = Singh | first2 = B | year = 2014 | title = Reciprocity in microbiome and immune system interactions and its implications in disease and health | url = | journal = Inflamm Allergy Drug Targets | volume = 13 | issue = 2| pages = 94–104 | pmid = 24678760 | doi=10.2174/1871528113666140330201056}}</ref>
It has been found that bacteria may also play a role in the activation of TLRs (toll-like receptors) in the intestines. TLRs are a type of PRR (pattern recognition receptor) used by host cells to help repair damage and recognize dangers to the host. This could be important in [[immune tolerance]] and [[autoimmune diseases]]. Pathogens could influence this symbiotic coexistence leading to immune dysregulation and susceptibility to diseases. This could provide new direction for managing immunological and [[metabolic diseases]].<ref>{{cite journal | last1 = Nikoopour | first1 = E | last2 = Singh | first2 = B | year = 2014 | title = Reciprocity in microbiome and immune system interactions and its implications in disease and health | url = | journal = Inflamm Allergy Drug Targets | volume = 13 | issue = 2| pages = 94–104 | pmid = 24678760 | doi=10.2174/1871528113666140330201056}}</ref>
Line 419: Line 419:
| pmid = 19043404
| pmid = 19043404
| pmc =2677729
| pmc =2677729
| bibcode = 2009Natur.457..480T
}}</ref><ref name="Qin2010">{{Cite journal
}}</ref><ref name="Qin2010">{{Cite journal
| last1 = Qin | first1 = J.
| last1 = Qin | first1 = J.
Line 459: Line 460:
| pmid = 20203603
| pmid = 20203603
| pmc = 3779803
| pmc = 3779803
| bibcode = 2010Natur.464...59
}}</ref><ref name=TringeMering2005>{{Cite journal | last1 = Tringe | first1 = S. G. | last2 = Von Mering | first2 = C. | last3 = Kobayashi | first3 = A. | last4 = Salamov | first4 = A. A. | last5 = Chen | first5 = K. | last6 = Chang | first6 = H. W. | last7 = Podar | first7 = M. | last8 = Short | first8 = J. M. | last9 = Mathur | first9 = E. J. | last10 = Detter | first10 = J. C. | last11 = Bork | first11 = P. | last12 = Hugenholtz | first12 = P. | last13 = Rubin | first13 = E. M. | title = Comparative Metagenomics of Microbial Communities | doi = 10.1126/science.1107851 | journal = Science | volume = 308 | issue = 5721 | pages = 554–557 | year = 2005 | pmid = 15845853| pmc = }}</ref> In metagenomic sequencing, DNA is recovered directly from environmental samples in an untargeted manner with the goal of obtaining an unbiased sample from all genes of all members of the community. Recent studies use shotgun [[Sanger sequencing]] or [[pyrosequencing]] to recover the sequences of the reads.<ref name="Wooley2010">{{Cite journal | last1 = Wooley | first1 = J. C. | last2 = Godzik | first2 = A. | last3 = Friedberg | first3 = I. | editor1-last = Bourne | editor1-first = Philip E. | title = A Primer on Metagenomics | doi = 10.1371/journal.pcbi.1000667 | journal = PLoS Computational Biology | volume = 6 | issue = 2 | pages = e1000667 | year = 2010 | pmid = 20195499| pmc =2829047 }}</ref> The reads can then be assembled into [[contig]]s. To determine the phylogenetic identity of a sequence, it is compared to available full genome sequences using methods such as [[BLAST]]. One drawback of this approach is that many members of microbial communities do not have a representative sequenced genome.<ref name=Kucz2012/>
}}</ref><ref name=TringeMering2005>{{Cite journal | last1 = Tringe | first1 = S. G. | last2 = Von Mering | first2 = C. | last3 = Kobayashi | first3 = A. | last4 = Salamov | first4 = A. A. | last5 = Chen | first5 = K. | last6 = Chang | first6 = H. W. | last7 = Podar | first7 = M. | last8 = Short | first8 = J. M. | last9 = Mathur | first9 = E. J. | last10 = Detter | first10 = J. C. | last11 = Bork | first11 = P. | last12 = Hugenholtz | first12 = P. | last13 = Rubin | first13 = E. M. | title = Comparative Metagenomics of Microbial Communities | doi = 10.1126/science.1107851 | journal = Science | volume = 308 | issue = 5721 | pages = 554–557 | year = 2005 | pmid = 15845853| pmc = | bibcode = 2005Sci...308..554T }}</ref> In metagenomic sequencing, DNA is recovered directly from environmental samples in an untargeted manner with the goal of obtaining an unbiased sample from all genes of all members of the community. Recent studies use shotgun [[Sanger sequencing]] or [[pyrosequencing]] to recover the sequences of the reads.<ref name="Wooley2010">{{Cite journal | last1 = Wooley | first1 = J. C. | last2 = Godzik | first2 = A. | last3 = Friedberg | first3 = I. | editor1-last = Bourne | editor1-first = Philip E. | title = A Primer on Metagenomics | doi = 10.1371/journal.pcbi.1000667 | journal = PLoS Computational Biology | volume = 6 | issue = 2 | pages = e1000667 | year = 2010 | pmid = 20195499| pmc =2829047 | bibcode = 2010PLSCB...6E0667W }}</ref> The reads can then be assembled into [[contig]]s. To determine the phylogenetic identity of a sequence, it is compared to available full genome sequences using methods such as [[BLAST]]. One drawback of this approach is that many members of microbial communities do not have a representative sequenced genome.<ref name=Kucz2012/>


Despite the fact that metagenomics is limited by the availability of reference sequences, one significant advantage of metagenomics over targeted amplicon sequencing is that metagenomics data can elucidate the functional potential of the community DNA.<ref name="MullerSzkl2010">{{Cite journal
Despite the fact that metagenomics is limited by the availability of reference sequences, one significant advantage of metagenomics over targeted amplicon sequencing is that metagenomics data can elucidate the functional potential of the community DNA.<ref name="MullerSzkl2010">{{Cite journal
Line 580: Line 582:
| pmid = 19444216
| pmid = 19444216
| pmc =
| pmc =
| bibcode = 2009Natur.459..266S
}}</ref> Structure based studies have also identified [[non-coding RNAs]] (ncRNAs) such as ribozymes from microbiota.<ref name="JimenezDel2011">{{Cite journal
}}</ref> Structure based studies have also identified [[non-coding RNAs]] (ncRNAs) such as ribozymes from microbiota.<ref name="JimenezDel2011">{{Cite journal
| last1 = Jimenez | first1 = R. M.
| last1 = Jimenez | first1 = R. M.
Line 613: Line 616:
The [[Human Microbiome Project]] (HMP) is a United States [[National Institutes of Health]] initiative with the goal of identifying and characterizing the microorganisms which are found in association with both healthy and diseased humans (their microbial flora).<ref name="nih">{{cite web | url=http://hmpdacc.org/overview/about.php | title=NIH Human Microbiome Project | publisher=US National Institutes of Health, Department of Health and Human Services, US Government | date=2016 | accessdate=14 June 2016}}</ref> Launched in 2008, it is a five-year project, best characterized as a feasibility study, and has a total budget of $115 million. The ultimate goal of this and similar NIH-sponsored microbiome projects is to test how changes in the human microbiome are associated with human health or disease.<ref name=nih/>
The [[Human Microbiome Project]] (HMP) is a United States [[National Institutes of Health]] initiative with the goal of identifying and characterizing the microorganisms which are found in association with both healthy and diseased humans (their microbial flora).<ref name="nih">{{cite web | url=http://hmpdacc.org/overview/about.php | title=NIH Human Microbiome Project | publisher=US National Institutes of Health, Department of Health and Human Services, US Government | date=2016 | accessdate=14 June 2016}}</ref> Launched in 2008, it is a five-year project, best characterized as a feasibility study, and has a total budget of $115 million. The ultimate goal of this and similar NIH-sponsored microbiome projects is to test how changes in the human microbiome are associated with human health or disease.<ref name=nih/>


The [[Earth Microbiome Project]] (EMP) is an initiative to collect natural samples and analyze the microbial community around the globe. Microbes are highly abundant, diverse and have an important role in the ecological system. Yet {{As of|2010|lc=on}}, it was estimated that the total global environmental DNA sequencing effort had produced less than 1 percent of the total DNA found in a liter of seawater or a gram of soil,<ref>{{Cite journal | last1 = Gilbert | first1 = J. A. | last2 = Meyer | first2 = F. | last3 = Antonopoulos | first3 = D. | last4 = Balaji | first4 = P. | last5 = Brown | first5 = C. T. | last6 = Brown | first6 = C. T. | last7 = Desai | first7 = N. | last8 = Eisen | first8 = J. A. | last9 = Evers | first9 = D. | last10 = Field | doi = 10.4056/sigs.1433550 | first10 = D. | last11 = Feng | first11 = W. | last12 = Huson | first12 = D. | last13 = Jansson | first13 = J. | last14 = Knight | first14 = R. | last15 = Knight | first15 = J. | last16 = Kolker | first16 = E. | last17 = Konstantindis | first17 = K. | last18 = Kostka | first18 = J. | last19 = Kyrpides | first19 = N. | last20 = MacKelprang | first20 = R. | last21 = McHardy | first21 = A. | last22 = Quince | first22 = C. | last23 = Raes | first23 = J. | last24 = Sczyrba | first24 = A. | last25 = Shade | first25 = A. | last26 = Stevens | first26 = R. | title = Meeting Report: The Terabase Metagenomics Workshop and the Vision of an Earth Microbiome Project | journal = Standards in Genomic Sciences | volume = 3 | issue = 3 | pages = 243–248 | year = 2010 | pmid = 21304727| pmc =3035311 }}</ref> and the specific interactions between microbes are largely unknown. The EMP aims to process as many as 200,000 samples in different biomes, generating a complete database of microbes on earth to characterize environments and ecosystems by microbial composition and interaction. Using these data, new ecological and evolutionary theories can be proposed and tested.<ref name=GilbertDor2011>{{Cite journal | last1 = Gilbert | first1 = J. A. | last2 = O'Dor | first2 = R. | last3 = King | first3 = N. | last4 = Vogel | first4 = T. M. | title = The importance of metagenomic surveys to microbial ecology: Or why Darwin would have been a metagenomic scientist | doi = 10.1186/2042-5783-1-5 | journal = Microbial Informatics and Experimentation | volume = 1 | pages = 5 | year = 2011 | pmid = | pmc = }}</ref>
The [[Earth Microbiome Project]] (EMP) is an initiative to collect natural samples and analyze the microbial community around the globe. Microbes are highly abundant, diverse and have an important role in the ecological system. Yet {{As of|2010|lc=on}}, it was estimated that the total global environmental DNA sequencing effort had produced less than 1 percent of the total DNA found in a liter of seawater or a gram of soil,<ref>{{Cite journal | last1 = Gilbert | first1 = J. A. | last2 = Meyer | first2 = F. | last3 = Antonopoulos | first3 = D. | last4 = Balaji | first4 = P. | last5 = Brown | first5 = C. T. | last6 = Brown | first6 = C. T. | last7 = Desai | first7 = N. | last8 = Eisen | first8 = J. A. | last9 = Evers | first9 = D. | last10 = Field | doi = 10.4056/sigs.1433550 | first10 = D. | last11 = Feng | first11 = W. | last12 = Huson | first12 = D. | last13 = Jansson | first13 = J. | last14 = Knight | first14 = R. | last15 = Knight | first15 = J. | last16 = Kolker | first16 = E. | last17 = Konstantindis | first17 = K. | last18 = Kostka | first18 = J. | last19 = Kyrpides | first19 = N. | last20 = MacKelprang | first20 = R. | last21 = McHardy | first21 = A. | last22 = Quince | first22 = C. | last23 = Raes | first23 = J. | last24 = Sczyrba | first24 = A. | last25 = Shade | first25 = A. | last26 = Stevens | first26 = R. | title = Meeting Report: The Terabase Metagenomics Workshop and the Vision of an Earth Microbiome Project | journal = Standards in Genomic Sciences | volume = 3 | issue = 3 | pages = 243–248 | year = 2010 | pmid = 21304727| pmc =3035311 }}</ref> and the specific interactions between microbes are largely unknown. The EMP aims to process as many as 200,000 samples in different biomes, generating a complete database of microbes on earth to characterize environments and ecosystems by microbial composition and interaction. Using these data, new ecological and evolutionary theories can be proposed and tested.<ref name=GilbertDor2011>{{Cite journal | last1 = Gilbert | first1 = J. A. | last2 = O'Dor | first2 = R. | last3 = King | first3 = N. | last4 = Vogel | first4 = T. M. | title = The importance of metagenomic surveys to microbial ecology: Or why Darwin would have been a metagenomic scientist | doi = 10.1186/2042-5783-1-5 | journal = Microbial Informatics and Experimentation | volume = 1 | issue = 1 | pages = 5 | year = 2011 | pmid = 22587826| pmc = 3348666}}</ref>


The [http://brmicrobiome.org Brazilian Microbiome Project] (BMP) aims to assemble a Brazilian Microbiome Consortium/Database. At present, many metagenomic projects underway in Brazil are widely known. Our goal is to co-ordinate and standardize these, together with future projects. This is the first attempt to collect and collate information about Brazilian microbial genetic and functional diversity in a systematic and holistic manner. New sequence data have been generated from samples collected in all Brazilian regions, however the success of the BMP depends on a massive collaborative effort of both the Brazilian and international scientific communities. Therefore, we invite all colleagues to participate in this project. There is no prioritization of specific taxonomic groups, studies could include any ecosystem, and all proposals and any help will be very welcome.
The [http://brmicrobiome.org Brazilian Microbiome Project] (BMP) aims to assemble a Brazilian Microbiome Consortium/Database. At present, many metagenomic projects underway in Brazil are widely known. Our goal is to co-ordinate and standardize these, together with future projects. This is the first attempt to collect and collate information about Brazilian microbial genetic and functional diversity in a systematic and holistic manner. New sequence data have been generated from samples collected in all Brazilian regions, however the success of the BMP depends on a massive collaborative effort of both the Brazilian and international scientific communities. Therefore, we invite all colleagues to participate in this project. There is no prioritization of specific taxonomic groups, studies could include any ecosystem, and all proposals and any help will be very welcome.
Line 619: Line 622:
== Privacy ==
== Privacy ==


The DNA of the microbes that inhabit a person's human body can uniquely identify the person. A risk to violating a person's privacy may exist, if the person anonymously donated microbe DNA data, and the data could be used to identify the person and their medical condition, and if the person's identity were revealed.<ref>{{Cite web|title = Microbial DNA in Human Body Can Be Used to Identify Individuals|url = http://www.scientificamerican.com/article/microbial-dna-in-human-body-can-be-used-to-identify-individuals|accessdate = 2015-05-17|first = Ewen|last = magazine}}</ref><ref>{{Cite web|title = Microbiomes raise privacy concerns|url = http://www.nature.com/news/microbiomes-raise-privacy-concerns-1.17527|accessdate = 2015-05-17}}</ref><ref>{{Cite journal|title = Identifying personal microbiomes using metagenomic codes|url = http://www.pnas.org/content/early/2015/05/08/1423854112|journal = Proceedings of the National Academy of Sciences|date = 2015-05-11|issn = 0027-8424|pmid = 25964341|pages = 201423854|doi = 10.1073/pnas.1423854112|first = Eric A.|last = Franzosa|first2 = Katherine|last2 = Huang|first3 = James F.|last3 = Meadow|first4 = Dirk|last4 = Gevers|first5 = Katherine P.|last5 = Lemon|first6 = Brendan J. M.|last6 = Bohannan|first7 = Curtis|last7 = Huttenhower|volume=112}}</ref><ref>{{Cite web|title = Can The Microbes You Leave Behind Be Used to Identify You?|url = http://phenomena.nationalgeographic.com/2015/05/11/can-the-microbes-you-leave-behind-be-used-to-identify-you/|accessdate = 2015-05-17|first = Ed|last = Yong}}</ref>
The DNA of the microbes that inhabit a person's human body can uniquely identify the person. A risk to violating a person's privacy may exist, if the person anonymously donated microbe DNA data, and the data could be used to identify the person and their medical condition, and if the person's identity were revealed.<ref>{{Cite web|title = Microbial DNA in Human Body Can Be Used to Identify Individuals|url = http://www.scientificamerican.com/article/microbial-dna-in-human-body-can-be-used-to-identify-individuals|accessdate = 2015-05-17|first = Ewen|last = magazine}}</ref><ref>{{Cite web|title = Microbiomes raise privacy concerns|url = http://www.nature.com/news/microbiomes-raise-privacy-concerns-1.17527|accessdate = 2015-05-17}}</ref><ref>{{Cite journal|title = Identifying personal microbiomes using metagenomic codes|url = http://www.pnas.org/content/early/2015/05/08/1423854112|journal = Proceedings of the National Academy of Sciences|date = 2015-05-11|issn = 0027-8424|pmid = 25964341|pmc = 4460507|pages = E2930–8|doi = 10.1073/pnas.1423854112|first = Eric A.|last = Franzosa|first2 = Katherine|last2 = Huang|first3 = James F.|last3 = Meadow|first4 = Dirk|last4 = Gevers|first5 = Katherine P.|last5 = Lemon|first6 = Brendan J. M.|last6 = Bohannan|first7 = Curtis|last7 = Huttenhower|volume=112|issue = 22|bibcode = 2015PNAS..112E2930F}}</ref><ref>{{Cite web|title = Can The Microbes You Leave Behind Be Used to Identify You?|url = http://phenomena.nationalgeographic.com/2015/05/11/can-the-microbes-you-leave-behind-be-used-to-identify-you/|accessdate = 2015-05-17|first = Ed|last = Yong}}</ref>


== See also ==
== See also ==

Revision as of 06:14, 19 June 2016

Depiction of the human skin and bacteria that predominate

A microbiota is "the ecological community of commensal, symbiotic and pathogenic microorganisms that literally share our body space".[1][2] Joshua Lederberg coined the term, emphasising the importance of microorganisms inhabiting the human body in health and disease. Many scientific articles distinguish microbiome and microbiota to describe either the collective genomes of the microorganisms that reside in an environmental niche or the microorganisms themselves, respectively.[3][4][5] However, by the original definitions, these terms are largely synonymous.

There are trillions of microbes in the human microbiome, although the entire microbiome only accounts for about for 1-3% total body mass,[6] with some weight-estimates ranging as high as 3 pounds (approximately 48 ounces or 1,400 grams).[n 1] Research into the role that microbiota in the gut might play in the human immune system started in the late 1990s.[8] The microbiome of the gut has been characterised as a "forgotten organ",[9] and the possibility has been raised that "the mammalian immune system, which seems to be designed to control microorganisms, is in fact controlled by microorganisms".[10] The human microbiome may have a role in auto-immune diseases like diabetes, rheumatoid arthritis, muscular dystrophy, multiple sclerosis, fibromyalgia, and perhaps some cancers.[11] A poor mix of microbes in the gut may also aggravate common obesity.[12][13][14] Since some of the microbes in the human body can modify the regulation of some neurotransmitters, it may be possible to use certain microorganisms to supplement treatments for depression, bipolar disorder and other stress-related psychiatric disorders.[15]

The microbes being discussed are generally non-pathogenic (they do not cause disease unless they grow abnormally); they exist in harmony and symbiotically with their hosts.[16] The microbiome and host may have emerged as a unit by the process of integration.[17]

Introduction

All plants and animals, from protists to humans, live in close association with microbial organisms (see for example the human microbiome). Up until relatively recently, however, biologists have defined the interactions of plants and animals with the microbial world mostly in the context of disease states and of a relatively small number of symbiotic case studies. Organisms do not live in isolation, but have evolved in the context of complex communities. A number of advances have driven a change in the perception of microbiomes, including:

  • the ability to perform genomic and gene expression analyses of single cells and even of entire microbial communities in the new disciplines of metagenomics and metatranscriptomics
  • massive databases making this information accessible to researchers across multiple disciplines
  • methods of mathematical analysis that help researchers to make sense of complex data sets

Increasingly, biologists have come to appreciate that microbes make up an important part of an organism's phenotype, far beyond the occasional symbiotic case study.[18]

Pierre-Joseph van Beneden(1809-1894), a Belgian professor at the University of Louvain, developed the concept of commensalism during the nineteenth century. In his 1875 publication Animal Parasites and Messmates, Van Beneden presented 264 examples of commensalism. His conception was widely accepted by his contemporaries and commensalism has continued to be used as a concept right up to the present day: microbiome is clearly linked to commensalism.[19]

Microbiota by host

There is a strengthening consensus among evolutionary biologists that one should not separate an organism's genes from the context of its resident microbes.

Humans

Non-human animals

A chytrid-infected frog (see Chytridiomycosis)
  • A massive, worldwide decline in amphibian populations has been well-publicised. Habitat loss and over-exploitation account for part of the problem, but many other processes seem to be at work. The spread of the virulent fungal disease chytridiomycosis represents an enigma.[20] The ability of some species to coexist with the causative agent Batrachochytrium dendrobatidis appears to be due to the expression of antimicrobial skin peptides along with the presence of symbiotic microbes that benefit the host by resisting pathogen colonization or inhibiting their growth while being themselves resistant to high concentrations of antimicrobial skin peptides.[21]
  • The bovine rumen harbors a complex microbiome that converts plant cell wall biomass into proteins, short chain fatty acids, and gases. Multiple species are involved in this conversion. Traditional methods of characterizing the microbial population, based on culture analysis, missed many of the participants in this process. Comparative metagenomic studies yielded the surprising result that individual steer had markedly different community structures, predicted phenotype, and metabolic potentials,[22] even though they were fed identical diets, were housed together, and were apparently functionally identical in their utilization of plant cell wall resources.
  • Leaf-cutter ants form huge underground colonies with millions of workers, each colony harvesting hundreds of kilograms of leaves each year. Unable to digest the cellulose in the leaves directly, they maintain fungus gardens that are the colony's primary food source. The fungus itself does not digest cellulose. Instead, a microbial community containing a diversity of bacteria is responsible for cellulose digestion. Analysis of the microbial population's genomic content by community metagenome sequencing methods revealed the presence of many genes with a role in cellulose digestion. This microbiome's predicted carbohydrate-degrading enzyme profile is similar to that of the bovine rumen, but the species composition is almost entirely different.[23]
  • Mice are the most used models for human disease. As more and more diseases are linked to dysfunctional microbiomes, mice have become the most studied organism in this regard. Mostly it is the gut microbiota that have been studied in relation to allergic airway disease, obesity, gastrointestinal diseases and diabetes. Intriguingly, recent work has shown that perinatal shifting of microbiota through administration of low dose antibiotics can have long-lasting effects on future susceptibility to allergic airway disease.[24][25] These studies showed a remarkable link between the frequency of certain subsets of microbes and disease severity. In aggregate these studies suggest that the presence of specific microbes, early in postnatal life, play an instructive role in the development of future immune responses. Mechanistically, a recent study done on gnotobiotic mice described a method in which certain strains of gut bacteria were found to transmit a particular phenotype to recipient germ-free mice, identifying an unanticipated range of bacterial strains that promoted accumulation of colonic regulatory T cells, as well as strains that modulated mouse adiposity and cecal metabolite concentrations. Another study showed that when adult germ-free mice were colonized with the gut flora of obese mice, there was a dramatic weight increase and an observed increased metabolism of monosaccharides and short-chain fatty acids. Looking at the gut flora compositions between normal and obese mice, obese mice had less Bacteroidetes than Firmicutes in abundance in gut flora and it is hypothesized that the microbiota of obese mice are more efficient at extracting energy from food.[26] This combinatorial approach enables a systems-level understanding of microbial contributions to human biology.[27] But also other mucoide tissues as lung and vagina have been studied in relation to diseases such as asthma, allergy and vaginosis [28]

Plants

Light micrograph of a cross section of a coralloid root of a cycad, showing the layer that hosts symbiotic cyanobacteria
  • Plants exhibit a broad range of relationships with symbiotic microorganisms, ranging from parasitism, in which the association is disadvantageous to the host organism, to mutualism, in which the association is beneficial to both, to commensalism, in which the symbiont benefits while the host is not affected. Exchange of nutrients between symbiotic partners is an important part of the relationship: it may be bidirectional or unidirectional, and it may be context dependent. The strategies for nutrient exchange are highly diverse. Oomycetes and fungi have, through convergent evolution, developed similar morphology and occupy similar ecological niches. They develop hyphae, filamentous structures that penetrate the host cell. In those cases where the association is mutualistic, the plant often exchanges hexose sugars for inorganic phosphate from the fungal symbiont. It is speculated that such associations, which are very ancient, may have aided plants when they first colonized land.[29][30]
  • A huge range of bacterial symbionts colonize plants. Many of these are pathogenic, but others known as plant-growth promoting bacteria (PGPB) provide the host with essential services such as nitrogen fixation, solubilization of minerals such as phosphorus, synthesis of plant hormones, direct enhancement of mineral uptake, and protection from pathogens.[31][32] PGPBs may protect plants from pathogens by competing with the pathogen for an ecological niche or a substrate, producing inhibitory allelochemicals, or inducing systemic resistance in host plants to the pathogen[33]
  • Plants are attractive hosts for microorganisms since they provide a variety of nutrients. Microorganisms on plants can be epiphytes (found on the plants) or endophytes (found inside plant tissue).[34][35]

Immune system

The symbiotic relationship between a mammalian host and its microbiota has a significant impact on shaping the host's immune system.[36] In many animals, the immune system and microbiota engage in "cross-talk", exchanging chemical signals. This allows the immune system to recognize the types of bacteria that are harmful to the host and combat them, while allowing the helpful bacteria to carry out their functions; in turn, the microbiota influence immune reactivity and targeting.[37] Bacteria can be transferred from mother to child through direct contact and after birth, or through indirect contact through eggs, coprophagy, and several other pathways.[38] As the infant microbiome is established, commensal bacteria quickly populate the gut, prompting a range of immune responses and "programming" the immune system with long-lasting effects.[37] This early colonization helps to establish the symbiotic microbiome inside the animal host early in its life.[36] The bacteria are also able to stimulate lymphoid tissue associated with the gut mucosa. This enables the tissue to produce antibodies for pathogens that may enter the gut.[citation needed]

It has been found that bacteria may also play a role in the activation of TLRs (toll-like receptors) in the intestines. TLRs are a type of PRR (pattern recognition receptor) used by host cells to help repair damage and recognize dangers to the host. This could be important in immune tolerance and autoimmune diseases. Pathogens could influence this symbiotic coexistence leading to immune dysregulation and susceptibility to diseases. This could provide new direction for managing immunological and metabolic diseases.[39]

Human microbiome

Role in psychology

Depression

Microbes are also implicated in depression. The pathogenic bacterium Borrelia burgdorferi causes Lyme disease which causes depression in up to 2/3 of all cases.[40] Non-pathogenic bacteria are also implicated in depression in which bacterial populations are suppressed. Increasing serotonin levels through selective serotonin reuptake inhibitors is the primary treatment of depression in humans. Human patients with depression are less able to properly digest fructose,[41] which is also associated with a reduction in tryptophan production.[42] Eliminating fructose from their diet improved their depression.[43]

Anxiety

Gut microbes are also implicated in anxiety disorders. In humans, anxiety disorders are common in patients with disturbed gut flora.[44]

Autism

Autistic populations have a unique microbiome consisting of more clostridial species.[45] Half of all autistic children with gastrointestinal dysfunction were found to have the bacterium Sutterella which was completely absent in non-autistic children with gastrointestinal dysfunction.[46] There is evidence that for some children with late-onset autism antibiotics can alleviate symptoms temporarily.[47]

Co-evolution of microbiota

Bleached branching coral (foreground) and normal branching coral (background). Keppel Islands, Great Barrier Reef

Organisms evolve within eco-systems so that the change of one organism affects the change of others. Co-evolution (also called "hologenome theory") proposes that an object of natural selection is not the individual organism, but the organism together with its associated organisms, includings its microbial communities.

Coral reefs. The hologenome theory originated in studies on coral reefs. Coral reefs are the largest structures created by living organisms, and contain abundant and highly complex microbial communities. Over the past several decades, major declines in coral populations have occurred. Climate change, water pollution and over-fishing are three stress factors that have been described as leading to disease susceptibility. Over twenty different coral diseases have been described, but of these, only a handful have had their causative agents isolated and characterized. Coral bleaching is the most serious of these diseases. In the Mediterranean Sea, the bleaching of Oculina patagonica was first described in 1994 and shortly determined to be due to infection by Vibrio shiloi. From 1994 to 2002, bacterial bleaching of O. patagonica occurred every summer in the eastern Mediterranean. Surprisingly, however, after 2003, O. patagonica in the eastern Mediterranean has been resistant to V. shiloi infection, although other diseases still cause bleaching. The surprise stems from the knowledge that corals are long lived, with lifespans on the order of decades,[48] and do not have adaptive immune systems. Their innate immune systems do not produce antibodies, and they should seemingly not be able to respond to new challenges except over evolutionary time scales. The puzzle of how corals managed to acquire resistance to a specific pathogen led Eugene Rosenberg and Ilana Zilber-Rosenberg to propose the Coral Probiotic Hypothesis. This hypothesis proposes that a dynamic relationship exists between corals and their symbiotic microbial communities. By altering its composition, this "holobiont" can adapt to changing environmental conditions far more rapidly than by genetic mutation and selection alone. Extrapolating this hypothesis of adaptation and evolution to other organisms, including higher plants and animals, led to the proposal of the Hologenome Theory of Evolution.[49]

The hologenome theory is still being debated.[50] A major criticism has been the claim that V. shiloi was misidentified as the causative agent of coral bleaching, and that its presence in bleached O. patagonica was simply that of opportunistic colonization.[51] If this is true, the basic observation leading to the theory would be invalid. Nevertheless, the theory has gained significant popularity as a way of explaining rapid changes in adaptation that cannot otherwise be explained by traditional mechanisms of natural selection. For those who accept the hologenome theory, the holobiont has become the principal unit of natural selection. On the other hand, it has been stated that the holobiont is the result of other step of integration that it is also observed at the cell (symbiogenesis, endosymbiosis) and genomic levels.[17]

Research methods

Targeted amplicon sequencing

Targeted amplicon sequencing relies on having some expectations about the composition of the community that is being studied. In target amplicon sequencing a phylogenetically informative marker is targeted for sequencing. Such a marker should be present in ideally all the expected organisms. It should also evolve in such a way that it is conserved enough that primers can target genes from a wide range of organisms while evolving quickly enough to allow for finer resolution at the taxonomic level. A common marker for human microbiome studies is the gene for bacterial 16S rRNA (i.e. "16S rDNA", the sequence of DNA which encodes the ribosomal RNA molecule).[52] Since ribosomes are present in all living organisms, using 16S rDNA allows for DNA to be amplified from many more organisms than if another marker were used. The 16S rDNA gene contains both slowly evolving regions and fast evolving regions; the former can be used to design broad primers while the latter allow for finer taxonomic distinction. However, species-level resolution is not typically possible using the 16S rDNA. Primer selection is an important step, as anything that cannot be targeted by the primer will not be amplified and thus will not be detected. Different sets of primers have been shown to amplify different taxonomic groups due to sequence variation.

Targeted studies of eukaryotic and viral communities are limited[53] and subject to the challenge of excluding host DNA from amplification and the reduced eukaryotic and viral biomass in the human microbiome.[54]

After the amplicons are sequenced, molecular phylogenetic methods are used to infer the composition of the microbial community. This is done by clustering the amplicons into operational taxonomic units (OTUs) and inferring phylogenetic relationships between the sequences. Due to the complexity of the data, distance measures such as UniFrac distances are usually defined between microbiome samples, and downstream multivariate methods are carried out on the distance matrices. An important point is that the scale of data is extensive, and further approaches must be taken to identify patterns from the available information. Tools used to analyze the data include VAMPS,[55] QIIME[56] and mothur.[57]

Metagenomic sequencing

Metagenomics is also used extensively for studying microbial communities.[58][59][60] In metagenomic sequencing, DNA is recovered directly from environmental samples in an untargeted manner with the goal of obtaining an unbiased sample from all genes of all members of the community. Recent studies use shotgun Sanger sequencing or pyrosequencing to recover the sequences of the reads.[61] The reads can then be assembled into contigs. To determine the phylogenetic identity of a sequence, it is compared to available full genome sequences using methods such as BLAST. One drawback of this approach is that many members of microbial communities do not have a representative sequenced genome.[52]

Despite the fact that metagenomics is limited by the availability of reference sequences, one significant advantage of metagenomics over targeted amplicon sequencing is that metagenomics data can elucidate the functional potential of the community DNA.[62][63] Targeted gene surveys cannot do this as they only reveal the phylogenetic relationship between the same gene from different organisms. Functional analysis is done by comparing the recovered sequences to databases of metagenomic annotations such as KEGG. The metabolic pathways that these genes are involved in can then be predicted with tools such as MG-RAST,[64] CAMERA[65] and IMG/M.[66]

RNA and protein-based approaches

Metatranscriptomics studies have been performed to study the gene expression of microbial communities through methods such as the pyrosequencing of extracted RNA.[67] Structure based studies have also identified non-coding RNAs (ncRNAs) such as ribozymes from microbiota.[68] Metaproteomics is a new approach that studies the proteins expressed by microbiota, giving insight into its functional potential.[69]

Projects

The Human Microbiome Project (HMP) is a United States National Institutes of Health initiative with the goal of identifying and characterizing the microorganisms which are found in association with both healthy and diseased humans (their microbial flora).[70] Launched in 2008, it is a five-year project, best characterized as a feasibility study, and has a total budget of $115 million. The ultimate goal of this and similar NIH-sponsored microbiome projects is to test how changes in the human microbiome are associated with human health or disease.[70]

The Earth Microbiome Project (EMP) is an initiative to collect natural samples and analyze the microbial community around the globe. Microbes are highly abundant, diverse and have an important role in the ecological system. Yet as of 2010, it was estimated that the total global environmental DNA sequencing effort had produced less than 1 percent of the total DNA found in a liter of seawater or a gram of soil,[71] and the specific interactions between microbes are largely unknown. The EMP aims to process as many as 200,000 samples in different biomes, generating a complete database of microbes on earth to characterize environments and ecosystems by microbial composition and interaction. Using these data, new ecological and evolutionary theories can be proposed and tested.[72]

The Brazilian Microbiome Project (BMP) aims to assemble a Brazilian Microbiome Consortium/Database. At present, many metagenomic projects underway in Brazil are widely known. Our goal is to co-ordinate and standardize these, together with future projects. This is the first attempt to collect and collate information about Brazilian microbial genetic and functional diversity in a systematic and holistic manner. New sequence data have been generated from samples collected in all Brazilian regions, however the success of the BMP depends on a massive collaborative effort of both the Brazilian and international scientific communities. Therefore, we invite all colleagues to participate in this project. There is no prioritization of specific taxonomic groups, studies could include any ecosystem, and all proposals and any help will be very welcome.

Privacy

The DNA of the microbes that inhabit a person's human body can uniquely identify the person. A risk to violating a person's privacy may exist, if the person anonymously donated microbe DNA data, and the data could be used to identify the person and their medical condition, and if the person's identity were revealed.[73][74][75][76]

See also

Notes

  1. ^ Experts estimate that microbiota outnumber human cells by 10 to 1,[2] although some scientists dispute this ratio as too large.[7]

References

  1. ^ Lederberg, J; McCray, AT (2001). "'Ome Sweet 'Omics—a genealogical treasury of words". Scientist. 15: 8.
  2. ^ a b Nih Hmp Working, Group; Peterson, J; Garges, S; Giovanni, M; McInnes, P; Wang, L; Schloss, J. A.; Bonazzi, V; McEwen, J. E.; Wetterstrand, K. A.; Deal, C; Baker, C. C.; Di Francesco, V; Howcroft, T. K.; Karp, R. W.; Lunsford, R. D.; Wellington, C. R.; Belachew, T; Wright, M; Giblin, C; David, H; Mills, M; Salomon, R; Mullins, C; Akolkar, B; Begg, L; Davis, C; Grandison, L; Humble, M; et al. (2009). "The NIH Human Microbiome Project". Genome Res. 19 (12): 2317–2323. doi:10.1101/gr.096651.109. PMC 2792171. PMID 19819907.
  3. ^ Backhed, F; Ley, R.E.; Sonnenburg, J.L.; Peterson, D.A.; Gordon, J.I. (2005). "Host-Bacterial Mutualism in the Human Intestine". Science. 307 (5717): 1915–1920. Bibcode:2005Sci...307.1915B. doi:10.1126/science.1104816. PMID 15790844.
  4. ^ Turnbaugh, P.J.; Ley, R.E.; Hamady, M.; Fraser-Liggett, C.M.; Knight, R.; Gordon, J.I. (2007). "The Human Microbiome Project". Nature. 449 (7164): 804–810. Bibcode:2007Natur.449..804T. doi:10.1038/nature06244. PMC 3709439. PMID 17943116.
  5. ^ Ley, R.E.; Peterson, D.A.; Gordon, J.I. (2006). "Ecological and Evolutionary Forces Shaping Microbial Diversity in the Human Intestine". Cell. 124 (4): 837–848. doi:10.1016/j.cell.2006.02.017. PMID 16497592.
  6. ^ MacDougall, Raymond (13 June 2012). "NIH Human Microbiome Project defines normal bacterial makeup of the body". NIH. Retrieved 2012-09-20.
  7. ^ Abbott, Alison (2016). "Scientists bust myth that our bodies have more bacteria than human cells". Nature. Nature Publishing Group. doi:10.1038/nature.2016.19136. Retrieved 2016-02-09.
  8. ^ Penders, J.; Stobberingh, E. E.; den Brandt, P. A.; Thijs, C. (2007). "The role of the intestinal microbiota in the development of atopic disorders". Allergy. 62 (11): 1223–1236. doi:10.1111/j.1398-9995.2007.01462.x. PMID 17711557.
  9. ^ O'Hara, A. M.; Shanahan, F. (2006). "The gut flora as a forgotten organ". EMBO Reports. 7 (7): 688–693. doi:10.1038/sj.embor.7400731. PMC 1500832. PMID 16819463.
  10. ^ Round, J. L.; Mazmanian, S. K. (2009). "The gut microbiota shapes intestinal immune responses during health and disease". Nature Reviews: Immunology. 9 (5): 313–323. doi:10.1038/nri2515.
  11. ^ Wu, Shaoguang; et al. (2009). "A Human Colonic Commensal Promotes Colon Tumorigenesis via Activation of T Helper Type 17 T Cell Responses". Nature Medicine. 15 (9): 1016–1022. doi:10.1038/nm.2015. PMC 3034219. PMID 19701202.
  12. ^ Turnbaugh, Peter J.; et al. (2009). "A core gut microbiome in obese and lean twins". Nature. 457 (7228): 480–484. Bibcode:2009Natur.457..480T. doi:10.1038/nature07540. PMC 2677729. PMID 19043404.
  13. ^ Ridaura, Vanessa K.; et al. (2013). "Gut microbiota from twins discordant for obesity modulate metabolism in mice". Science. 341 (6150): 1241214. doi:10.1126/science.1241214.
  14. ^ Turnbaugh, Peter J.; et al. (2006). "An obesity-associated gut microbiome with increased capacity for energy harvest". Nature. 444 (7122): 1027–131. Bibcode:2006Natur.444.1027T. doi:10.1038/nature05414. PMID 17183312.
  15. ^ Bravo, Javier A.; et al. (2011). "Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve". Proceedings of the National Academy of Sciences. 108 (38): 16050–16055. Bibcode:2011PNAS..10816050B. doi:10.1073/pnas.1102999108. PMC 3179073. PMID 21876150.
  16. ^ Madigan, Michael T. (2012). Brock biology of microorganisms (13th ed.). San Francisco: Benjamin Cummings. ISBN 9780321649638.
  17. ^ a b Salvucci, E. (2014). "Microbiome, holobiont and the net of life". Critical Reviews in Microbiology: 1–10. doi:10.3109/1040841X.2014.962478.
  18. ^ Bosch, T. C. G.; McFall-Ngai, M. J. (2011). "Metaorganisms as the new frontier". Zoology. 114 (4): 185–190. doi:10.1016/j.zool.2011.04.001. PMID 21737250.
  19. ^ Poreau B., Biologie et complexité : histoire et modèles du commensalisme. PhD Dissertation, University of Lyon, France, 2014.
  20. ^ Stuart SN, Chanson JS, Cox NA, Young BE, Rodrigues ASL, Fischman DL, Waller RW; Chanson; Cox; Young; Rodrigues; Fischman; Waller (2004). "Status and Trends of Amphibian Declines and Extinctions Worldwide" (PDF). Science. 306 (5702): 1783–6. Bibcode:2004Sci...306.1783S. doi:10.1126/science.1103538. PMID 15486254.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  21. ^ Woodhams DC, Rollins-Smith LA, Alford RA, Simon MA, Harris RN (2007). "Innate immune defenses of amphibian skin: antimicrobial peptides and more". Animal Conservation. 10 (4): 425–8. doi:10.1111/j.1469-1795.2007.00150.x.
  22. ^ Brulc JM, Antonopoulos DA, Miller MEB, Wilson MK, Yannarell AC, Dinsdale EA, Edwards RE, Frank ED, Emerson JB, Wacklin P, Coutinho PM, Henrissat B, Nelson KE, White BA; Antonopoulos; Berg Miller; Wilson; Yannarell; Dinsdale; Edwards; Frank; Emerson; Wacklin; Coutinho; Henrissat; Nelson; White (2009). "Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome reveals forage specific glycoside hydrolases". Proc. Natl. Acad. Sci. USA. 106 (6): 1948–53. Bibcode:2009PNAS..106.1948B. doi:10.1073/pnas.0806191105. PMC 2633212. PMID 19181843.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  23. ^ Suen G, Scott JJ, Aylward FO, Adams SM, Tringe SG, Pinto-Tomás AA, Foster CE, Pauly M, Weimer PJ, Barry KW, Goodwin LA, Bouffard P, Li L, Osterberger J, Harkins TT, Slater SC, Donohue TJ, Currie CR (2010). Sonnenburg, Justin (ed.). "An Insect Herbivore Microbiome with High Plant Biomass-Degrading Capacity". PLoS Genet. 6 (9): e1001129. doi:10.1371/journal.pgen.1001129. PMC 2944797. PMID 20885794.{{cite journal}}: CS1 maint: multiple names: authors list (link) CS1 maint: unflagged free DOI (link)
  24. ^ Russell SL, , Gold MJ; et al. (May 2012). "Early life antibiotic-driven changes in microbiota enhance susceptibility to allergic asthma". EMBO Rep. 13 (5): 440–7. doi:10.1038/embor.2012.32. PMC 3343350. PMID 22422004.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  25. ^ Russell SL, Gold MJ, et al. (Aug 2014). "Perinatal antibiotic-induced shifts in gut microbiota have differential effects on inflammatory lung diseases". J Allergy Clin Immunol. 135 (1): 100–9. doi:10.1016/j.jaci.2014.06.027. PMID 25145536.
  26. ^ Turnbaugh PJ, et al. (Dec 2006). "An obesity-associated gut microbiome with increased capacity for energy harvest" (PDF). Nature. 444 (7122): 1027–31. Bibcode:2006Natur.444.1027T. doi:10.1038/nature05414. PMID 17183312.
  27. ^ Faith JJ, Ahern PP, Ridaura VK, et al. (Jan 2014). "Identifying gut microbe-host phenotype relationships using combinatorial communities in gnotobiotic mice". Sci Transl Med. 6 (220): 220. doi:10.1126/scitranslmed.3008051. PMC 3973144. PMID 24452263.
  28. ^ Barfod, KK; Roggenbuck, M; Hansen, LH; Schjørring, S; Larsen, ST; Sørensen, SJ; Krogfelt, KA (2013). "The murine lung microbiome in relation to the intestinal and vaginal bacterial communities". BMC Microbiol. 13: 303. doi:10.1186/1471-2180-13-303.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  29. ^ Remy W, Taylor TN, Hass H, Kerp H; Taylor; Hass; Kerp (1994). "Four hundred-million-year-old vesicular arbuscular mycorrhizae". Proc. Natl. Acad. Sci. USA. 91 (25): 11841–3. Bibcode:1994PNAS...9111841R. doi:10.1073/pnas.91.25.11841. PMC 45331. PMID 11607500.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  30. ^ Chibucos MC, Tyler BM (2009). "Common themes in nutrient acquisition by plant symbiotic microbes, described by the Gene Ontology". BMC Microbiology. 9(Suppl 1): S6. doi:10.1186/1471-2180-9-S1-S6.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  31. ^ Kloepper, J. W (1993). "Plant growth-promoting rhizobacteria as biological control agents". In Metting, F. B., Jr (ed.). Soil microbial ecology: applications in agricultural and environmental management. New York: Marcel Dekker Inc. pp. 255–274. ISBN 0-8247-8737-4.{{cite book}}: CS1 maint: multiple names: editors list (link)
  32. ^ Bloemberg, G. V.; Lugtenberg, B. J. J. (2001). "Molecular basis of plant growth promotion and biocontrol by rhizobacteria". Current Opinion in Plant Biology. 4 (4): 343–350. doi:10.1016/S1369-5266(00)00183-7. PMID 11418345.
  33. ^ Compant S, Duffy B, Nowak J, Clément C, Barka EA (2005). "Use of Plant Growth-Promoting Bacteria for Biocontrol of Plant Diseases: Principles, Mechanisms of Action, and Future Prospects". Appl Environ Microbiol. 71 (9): 4951–9. doi:10.1128/AEM.71.9.4951-4959.2005. PMC 1214602. PMID 16151072.
  34. ^ Berlec, Aleš (2012-09-01). "Novel techniques and findings in the study of plant microbiota: Search for plant probiotics". Plant Science. 193–194: 96–102. doi:10.1016/j.plantsci.2012.05.010. PMID 22794922.
  35. ^ Whipps, J.m.; Hand, P.; Pink, D.; Bending, G.d. (2008-12-01). "Phyllosphere microbiology with special reference to diversity and plant genotype". Journal of Applied Microbiology. 105 (6): 1744–1755. doi:10.1111/j.1365-2672.2008.03906.x. ISSN 1365-2672. PMID 19120625.
  36. ^ a b Round, June L.; O'Connell, Ryan M.; Mazmanian, Sarkis K. (2010). "Coordination of tolerogenic immune responses by the commensal microbiota". Journal of Autoimmunity. 34 (3): J220–J225. doi:10.1016/j.jaut.2009.11.007. PMID 3155383.
  37. ^ a b Cahenzli, Julia; Balmer, Maria L.; McCoy, Kathy D. (2012). "Microbial-immune cross-talk and regulation of the immune system". Immunology. 138 (1): 12–22. doi:10.1111/j.1365-2567.2012.03624.x. PMID 22804726.
  38. ^ Rosenberg, Eugene; Zilber-Rosenberg, Ilana (2016). "Microbes Drive Evolution of Animals and Plants: the Hologenome Concept" (PDF). MBio. 7 (2): e01395–15. doi:10.1128/mbio.01395-15. PMID 27034283.
  39. ^ Nikoopour, E; Singh, B (2014). "Reciprocity in microbiome and immune system interactions and its implications in disease and health". Inflamm Allergy Drug Targets. 13 (2): 94–104. doi:10.2174/1871528113666140330201056. PMID 24678760.
  40. ^ Fallon, B. A.; Nields, J. A. (1994). "Lyme disease: A neuropsychiatric illness". The American Journal of Psychiatry. 151 (11): 1571–1583. doi:10.1176/ajp.151.11.1571. PMID 7943444.
  41. ^ Ledochowski, M.; Widner, B.; Sperner-Unterweger, B.; Propst, T.; Vogel, W.; Fuchs, D. (2000). "Carbohydrate malabsorption syndromes and early signs of mental depression in females". Digestive diseases and sciences. 45 (7): 1255–1259. doi:10.1023/A:1005527230346. PMID 10961700.
  42. ^ Ledochowski, M.; Widner, B.; Murr, C.; Sperner-Unterweger, B.; Fuchs, D. (2001). "Fructose malabsorption is associated with decreased plasma tryptophan". Scandinavian journal of gastroenterology. 36 (4): 367–371. doi:10.1080/003655201300051135. PMID 11336160.
  43. ^ Ledochowski, M.; Widner, B.; Bair, H.; Probst, T.; Fuchs, D. (2000). "Fructose- and sorbitol-reduced diet improves mood and gastrointestinal disturbances in fructose malabsorbers". Scandinavian journal of gastroenterology. 35 (10): 1048–1052. doi:10.1080/003655200451162. PMID 11099057.
  44. ^ Mikocka-Walus, A. A.; Turnbull, D. A.; Moulding, N. T.; Wilson, I. G.; Andrews, J. M.; Holtmann, G. J. (2007). "Controversies surrounding the comorbidity of depression and anxiety in inflammatory bowel disease patients". Inflammatory Bowel Diseases. 13 (2): 225–234. doi:10.1002/ibd.20062. PMID 17206706.
  45. ^ Finegold, S. M.; Molitoris, D.; Song, Y.; Liu, C.; Vaisanen, M. L.; Bolte, E.; McTeague, M.; Sandler, R.; Wexler, H.; Marlowe, E. M.; Collins, M. D.; Lawson, P. A.; Summanen, P.; Baysallar, M.; Tomzynski, T. J.; Read, E.; Johnson, E.; Rolfe, R.; Nasir, P.; Shah, H.; Haake, D. A.; Manning, P.; Kaul, A. (2002). "Gastrointestinal Microflora Studies in Late‐Onset Autism". Clinical Infectious Diseases. 35 (Suppl 1): S6–S16. doi:10.1086/341914. PMID 12173102.
  46. ^ Williams, B. L.; Hornig, M.; Parekh, T.; Lipkin, W. I. (2012). "Application of Novel PCR-Based Methods for Detection, Quantitation, and Phylogenetic Characterization of Sutterella Species in Intestinal Biopsy Samples from Children with Autism and Gastrointestinal Disturbances". MBio. 3 (1): e00261–e00211. doi:10.1128/mBio.00261-11. PMC 3252763. PMID 22233678.Open access icon
  47. ^ Sandler, R. H.; Finegold, S. M.; Bolte, E. R.; Buchanan, C. P.; Maxwell, A. P.; Väisänen, M. L.; Nelson, M. N.; Wexler, H. M. (2000). "Short-term benefit from oral vancomycin treatment of regressive-onset autism". Journal of child neurology. 15 (7): 429–435. doi:10.1177/088307380001500701. PMID 10921511.
  48. ^ Baird AH, Bhagooli R, Ralph PJ, Takahashi S (2009). "Coral bleaching: the role of the host" (PDF). Trends in Ecology and Evolution. 24 (1): 16–20. doi:10.1016/j.tree.2008.09.005. PMID 19022522.
  49. ^ Rosenberg E, Koren O, Reshef L, Efrony R, Zilber-Rosenberg I (2007). "The role of microorganisms in coral health, disease and evolution" (PDF). Nature Reviews Microbiology. 5 (5): 355–362. doi:10.1038/nrmicro1635. PMID 17384666.
  50. ^ Leggat W, Ainsworth T, Bythell J, Dove S, Gates R, Hoegh-Guldberg O, Iglesias-Prieto R, Yellowlees D (2007). "The hologenome theory disregards the coral holobiont". Nature Reviews Microbiology. 5 (10): Online Correspondence. doi:10.1038/nrmicro1635-c1.
  51. ^ Ainsworth TD, Fine M, Roff G, Hoegh-Guldberg O (2008). "Bacteria are not the primary cause of bleaching in the Mediterranean coral Oculina patagonica". The ISME Journal. 2 (1): 67–73. doi:10.1038/ismej.2007.88. PMID 18059488.
  52. ^ a b Kuczynski, J.; Lauber, C. L.; Walters, W. A.; Parfrey, L. W.; Clemente, J. C.; Gevers, D.; Knight, R. (2011). "Experimental and analytical tools for studying the human microbiome". Nature Reviews Genetics. 13 (1): 47–58. doi:10.1038/nrg3129. PMID 22179717.
  53. ^ Marchesi, J. R. (2010). "Prokaryotic and Eukaryotic Diversity of the Human Gut". Advances in Applied Microbiology Volume 72. Advances in Applied Microbiology. Vol. 72. pp. 43–62. doi:10.1016/S0065-2164(10)72002-5. ISBN 9780123809896. PMID 20602987.
  54. ^ Vestheim, H.; Jarman, S. N. (2008). "Blocking primers to enhance PCR amplification of rare sequences in mixed samples – a case study on prey DNA in Antarctic krill stomachs". Frontiers in Zoology. 5: 12. doi:10.1186/1742-9994-5-12. PMC 2517594. PMID 18638418.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  55. ^ "VAMPS: The Visualization and Analysis of Microbial Population Structures". Bay Paul Center, MBL, Woods Hole. Retrieved 11 March 2012.
  56. ^ Caporaso, J. G.; Kuczynski, J.; Stombaugh, J.; Bittinger, K.; Bushman, F. D.; Costello, E. K.; Fierer, N.; Peña, A. G.; Goodrich, J. K.; Gordon, J. I.; Huttley, G. A.; Kelley, S. T.; Knights, D.; Koenig, J. E.; Ley, R. E.; Lozupone, C. A.; McDonald, D.; Muegge, B. D.; Pirrung, M.; Reeder, J.; Sevinsky, J. R.; Turnbaugh, P. J.; Walters, W. A.; Widmann, J.; Yatsunenko, T.; Zaneveld, J.; Knight, R. (2010). "QIIME allows analysis of high-throughput community sequencing data". Nature Methods. 7 (5): 335–336. doi:10.1038/nmeth.f.303. PMC 3156573. PMID 20383131.
  57. ^ Schloss, P. D.; Westcott, S. L.; Ryabin, T.; Hall, J. R.; Hartmann, M.; Hollister, E. B.; Lesniewski, R. A.; Oakley, B. B.; Parks, D. H.; Robinson, C. J.; Sahl, J. W.; Stres, B.; Thallinger, G. G.; Van Horn, D. J.; Weber, C. F. (2009). "Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities". Applied and Environmental Microbiology. 75 (23): 7537–7541. doi:10.1128/AEM.01541-09. PMC 2786419. PMID 19801464.
  58. ^ Turnbaugh, P. J.; Hamady, M.; Yatsunenko, T.; Cantarel, B. L.; Duncan, A.; Ley, R. E.; Sogin, M. L.; Jones, W. J.; Roe, B. A.; Affourtit, J. P.; Egholm, M.; Henrissat, B.; Heath, A. C.; Knight, R.; Gordon, J. I. (2008). "A core gut microbiome in obese and lean twins". Nature. 457 (7228): 480–484. Bibcode:2009Natur.457..480T. doi:10.1038/nature07540. PMC 2677729. PMID 19043404.
  59. ^ Qin, J.; Li, R.; Raes, J.; Arumugam, M.; Burgdorf, K. S.; Manichanh, C.; Nielsen, T.; Pons, N.; Levenez, F.; Yamada, T.; Mende, D. R.; Li, J.; Xu, J.; Li, S.; Li, D.; Cao, J.; Wang, B.; Liang, H.; Zheng, H.; Xie, Y.; Tap, J.; Lepage, P.; Bertalan, M.; Batto, J. M.; Hansen, T.; Le Paslier, D.; Linneberg, A.; Nielsen, H. B. R.; Pelletier, E.; Renault, P. (2010). "A human gut microbial gene catalogue established by metagenomic sequencing". Nature. 464 (7285): 59–65. Bibcode:2010Natur.464...59. doi:10.1038/nature08821. PMC 3779803. PMID 20203603. {{cite journal}}: Check |bibcode= length (help)
  60. ^ Tringe, S. G.; Von Mering, C.; Kobayashi, A.; Salamov, A. A.; Chen, K.; Chang, H. W.; Podar, M.; Short, J. M.; Mathur, E. J.; Detter, J. C.; Bork, P.; Hugenholtz, P.; Rubin, E. M. (2005). "Comparative Metagenomics of Microbial Communities". Science. 308 (5721): 554–557. Bibcode:2005Sci...308..554T. doi:10.1126/science.1107851. PMID 15845853.
  61. ^ Wooley, J. C.; Godzik, A.; Friedberg, I. (2010). Bourne, Philip E. (ed.). "A Primer on Metagenomics". PLoS Computational Biology. 6 (2): e1000667. Bibcode:2010PLSCB...6E0667W. doi:10.1371/journal.pcbi.1000667. PMC 2829047. PMID 20195499.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  62. ^ Muller, J.; Szklarczyk, D.; Julien, P.; Letunic, I.; Roth, A.; Kuhn, M.; Powell, S.; Von Mering, C.; Doerks, T.; Jensen, L. J.; Bork, P. (2009). "EggNOG v2.0: Extending the evolutionary genealogy of genes with enhanced non-supervised orthologous groups, species and functional annotations". Nucleic Acids Research. 38 (Database issue): D190–D195. doi:10.1093/nar/gkp951. PMC 2808932. PMID 19900971.
  63. ^ Kanehisa, M.; Goto, S.; Furumichi, M.; Tanabe, M.; Hirakawa, M. (2009). "KEGG for representation and analysis of molecular networks involving diseases and drugs". Nucleic Acids Research. 38 (Database issue): D355–D360. doi:10.1093/nar/gkp896. PMC 2808910. PMID 19880382.
  64. ^ Meyer, F.; Paarmann, D.; d'Souza, M.; Olson, R.; Glass, E. M.; Kubal, M.; Paczian, T.; Rodriguez, A.; Stevens, R.; Wilke, A.; Wilkening, J.; Edwards, R. A. (2008). "The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes". BMC Bioinformatics. 9: 386. doi:10.1186/1471-2105-9-386. PMC 2563014. PMID 18803844.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  65. ^ Sun, S.; Chen, J.; Li, W.; Altintas, I.; Lin, A.; Peltier, S.; Stocks, K.; Allen, E. E.; Ellisman, M.; Grethe, J.; Wooley, J. (2010). "Community cyberinfrastructure for Advanced Microbial Ecology Research and Analysis: The CAMERA resource". Nucleic Acids Research. 39 (Database issue): D546–D551. doi:10.1093/nar/gkq1102. PMC 3013694. PMID 21045053.
  66. ^ Markowitz, V. M.; Ivanova, N. N.; Szeto, E.; Palaniappan, K.; Chu, K.; Dalevi, D.; Chen, I. M. A.; Grechkin, Y.; Dubchak, I.; Anderson, I.; Lykidis, A.; Mavromatis, K.; Hugenholtz, P.; Kyrpides, N. C. (2007). "IMG/M: A data management and analysis system for metagenomes". Nucleic Acids Research. 36 (Database issue): D534–D538. doi:10.1093/nar/gkm869. PMC 2238950. PMID 17932063.
  67. ^ Shi, Y.; Tyson, G. W.; Delong, E. F. (2009). "Metatranscriptomics reveals unique microbial small RNAs in the ocean's water column". Nature. 459 (7244): 266–269. Bibcode:2009Natur.459..266S. doi:10.1038/nature08055. PMID 19444216.
  68. ^ Jimenez, R. M.; Delwart, E.; Luptak, A. (2011). "Structure-based Search Reveals Hammerhead Ribozymes in the Human Microbiome". Journal of Biological Chemistry. 286 (10): 7737–7743. doi:10.1074/jbc.C110.209288. PMC 3048661. PMID 21257745.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  69. ^ Maron, P. A.; Ranjard, L.; Mougel, C.; Lemanceau, P. (2007). "Metaproteomics: A New Approach for Studying Functional Microbial Ecology". Microbial Ecology. 53 (3): 486–493. doi:10.1007/s00248-006-9196-8. PMID 17431707.
  70. ^ a b "NIH Human Microbiome Project". US National Institutes of Health, Department of Health and Human Services, US Government. 2016. Retrieved 14 June 2016.
  71. ^ Gilbert, J. A.; Meyer, F.; Antonopoulos, D.; Balaji, P.; Brown, C. T.; Brown, C. T.; Desai, N.; Eisen, J. A.; Evers, D.; Field, D.; Feng, W.; Huson, D.; Jansson, J.; Knight, R.; Knight, J.; Kolker, E.; Konstantindis, K.; Kostka, J.; Kyrpides, N.; MacKelprang, R.; McHardy, A.; Quince, C.; Raes, J.; Sczyrba, A.; Shade, A.; Stevens, R. (2010). "Meeting Report: The Terabase Metagenomics Workshop and the Vision of an Earth Microbiome Project". Standards in Genomic Sciences. 3 (3): 243–248. doi:10.4056/sigs.1433550. PMC 3035311. PMID 21304727.
  72. ^ Gilbert, J. A.; O'Dor, R.; King, N.; Vogel, T. M. (2011). "The importance of metagenomic surveys to microbial ecology: Or why Darwin would have been a metagenomic scientist". Microbial Informatics and Experimentation. 1 (1): 5. doi:10.1186/2042-5783-1-5. PMC 3348666. PMID 22587826.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  73. ^ magazine, Ewen. "Microbial DNA in Human Body Can Be Used to Identify Individuals". Retrieved 2015-05-17.
  74. ^ "Microbiomes raise privacy concerns". Retrieved 2015-05-17.
  75. ^ Franzosa, Eric A.; Huang, Katherine; Meadow, James F.; Gevers, Dirk; Lemon, Katherine P.; Bohannan, Brendan J. M.; Huttenhower, Curtis (2015-05-11). "Identifying personal microbiomes using metagenomic codes". Proceedings of the National Academy of Sciences. 112 (22): E2930–8. Bibcode:2015PNAS..112E2930F. doi:10.1073/pnas.1423854112. ISSN 0027-8424. PMC 4460507. PMID 25964341.
  76. ^ Yong, Ed. "Can The Microbes You Leave Behind Be Used to Identify You?". Retrieved 2015-05-17.

External links