User:LabFemme/Sanger sequencing

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Sanger sequencing is a method of DNA sequencing involving electrophoresis and is based on the random incorporation of chain-terminating dideoxynucleotides by DNA polymerase during in vitro DNA replication. After first being developed by Frederick Sanger and colleagues in 1977, it became the most widely used sequencing method for approximately 40 years. It was first commercialized by Applied Biosystems in 1986. More recently, higher volume Sanger sequencing has been replaced by next generation sequencing methods, especially for large-scale, automated genome analyses. However, the Sanger method remains in wide use, for smaller-scale projects, and for validation of deep sequencing results. It still has the advantage over short-read sequencing technologies (like Illumina) in that it can produce DNA sequence reads of > 500 nucleotides and maintains a very low error rate with accuracies around 99.99%[1]. Sanger sequencing is still actively being used in efforts for public health initiatives such as sequencing the spike protein from SARS-CoV-2[2] as well as for the surveillance of norovirus outbreaks through the Center for Disease Control and Prevention's (CDC) CaliciNet surveillance network[3].

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1.4. Applications of Dye-terminating Sequencing

The field of Public Health plays many roles to support patient diagnostics as well as environmental surveillance of potential toxic substances and circulating biological pathogens. Public Health Laboratories (PHL) and other laboratories around the world have played a pivotal role in providing rapid sequencing data for the surveillance of the virus SARS-CoV-2, causative agent for COVID-19, during the pandemic that was declared a public health emergency on January 30, 2020.[4] Laboratories were tasked with the rapid implementation of sequencing methods and asked to provide accurate data to assist in the decision-making models for the development of policies to mitigate spread of the virus. Many laboratories resorted to next generation sequencing methodologies while others supported efforts with Sanger sequencing. The sequencing efforts of SARS-CoV-2 are many, while most laboratories implemented whole genome sequencing of the virus, others have opted to sequence very specific genes of the virus such as the S-gene, encoding the information needed to produce the spike protein. The high mutation rate of SARS-CoV-2 leads to genetic differences within the S-gene and these differences have played a role in the infectivity of the virus[5]. Sanger sequencing of the S-gene provides a quick, accurate, and more affordable method to retrieving the genetic code. Laboratories in lower income countries may not have the capabilities to implement expensive applications such as next generation sequencing, so Sanger methods may prevail in supporting the generation of sequencing data for surveillance of variants.

Sanger sequencing is also the "gold standard" for norovirus surveillance methods for the Center for Disease Control and Prevention's (CDC) CaliciNet network. CalciNet is an outbreak surveillance network that was established in March 2009. The goal of the network is to collect sequencing data of circulating noroviruses in the United States and activate downstream action to determine the source of infection to mitigate the spread of the virus. The CalciNet network has identified many infections as foodborne illnesses.[3] This data can then be published and used to develop recommendations for future action to prevent tainting food. The methods employed for detection of norovirus involve targeted amplification of specific areas of the genome. The amplicons are then sequenced using dye-terminating Sanger sequencing and the chromatograms and sequences generated are analyzed with a software package developed in BioNumerics. Sequences are tracked and strain relatedness is studied to infer epidemiological relevance.

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  1. ^ Shendure, Jay; Ji, Hanlee (2008-10). "Next-generation DNA sequencing". Nature Biotechnology. 26 (10): 1135–1145. doi:10.1038/nbt1486. ISSN 1546-1696. {{cite journal}}: Check date values in: |date= (help)
  2. ^ Daniels, Rodney S.; Harvey, Ruth; Ermetal, Burcu; Xiang, Zheng; Galiano, Monica; Adams, Lorin; McCauley, John W. (2021). "A Sanger sequencing protocol for SARS-CoV-2 S-gene". Influenza and Other Respiratory Viruses. 15 (6): 707–710. doi:10.1111/irv.12892. ISSN 1750-2659. PMC 8447197. PMID 34346163.{{cite journal}}: CS1 maint: PMC format (link)
  3. ^ a b Vega, Everardo; Barclay, Leslie; Gregoricus, Nicole; Williams, Kara; Lee, David; Vinjé, Jan (2011-8). "Novel Surveillance Network for Norovirus Gastroenteritis Outbreaks, United States". Emerging Infectious Diseases. 17 (8): 1389–1395. doi:10.3201/eid1708.101837. ISSN 1080-6040. PMC 3381557. PMID 21801614. {{cite journal}}: Check date values in: |date= (help)
  4. ^ Taylor, Derrick Bryson (2021-03-17). "A Timeline of the Coronavirus Pandemic". The New York Times. ISSN 0362-4331. Retrieved 2021-11-14.
  5. ^ Sanches, Paulo R.S.; Charlie-Silva, Ives; Braz, Helyson L.B.; Bittar, Cíntia; Freitas Calmon, Marilia; Rahal, Paula; Cilli, Eduardo M. (2021-09-16). "Recent advances in SARS-CoV-2 Spike protein and RBD mutations comparison between new variants Alpha (B.1.1.7, United Kingdom), Beta (B.1.351, South Africa), Gamma (P.1, Brazil) and Delta (B.1.617.2, India)". Journal of Virus Eradication. 7 (3): 100054. doi:10.1016/j.jve.2021.100054. ISSN 2055-6640. PMC 8443533. PMID 34548928.