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qSanger: Quantification of Genetic Variants in Bacterial Cultures by Sanger Sequencing
Genetic variations such as mutations and recombinations arise spontaneously in all cultured organisms. Although it is possible to identify nonneutral mutations by selection or counterselection, the identification of neutral mutations in a heterogeneous population usually requires expensive and time-...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521659/ https://www.ncbi.nlm.nih.gov/pubmed/37849461 http://dx.doi.org/10.34133/bdr.0007 |
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author | Prakash, Satya Racovita, Adrian Petrucci, Teresa Galizi, Roberto Jaramillo, Alfonso |
author_facet | Prakash, Satya Racovita, Adrian Petrucci, Teresa Galizi, Roberto Jaramillo, Alfonso |
author_sort | Prakash, Satya |
collection | PubMed |
description | Genetic variations such as mutations and recombinations arise spontaneously in all cultured organisms. Although it is possible to identify nonneutral mutations by selection or counterselection, the identification of neutral mutations in a heterogeneous population usually requires expensive and time-consuming methods such as quantitative or droplet polymerase chain reaction and high-throughput sequencing. Neutral mutations could even become dominant under changing environmental conditions enforcing transitory selection or counterselection. We propose a novel method, which we called qSanger, to quantify DNA using amplitude ratios of aligned electropherogram peaks from mixed Sanger sequencing reads. Plasmids expressing enhanced green fluorescent protein and mCherry fluorescent markers were used to validate qSanger both in vitro and in cotransformed Escherichia coli via quantitative polymerase chain reaction and fluorescence quantifications. We show that qSanger allows the quantification of genetic variants, including single-base natural polymorphisms or de novo mutations, from mixed Sanger sequencing reads, with substantial reduction of labor and costs compared to canonical approaches. |
format | Online Article Text |
id | pubmed-10521659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AAAS |
record_format | MEDLINE/PubMed |
spelling | pubmed-105216592023-10-17 qSanger: Quantification of Genetic Variants in Bacterial Cultures by Sanger Sequencing Prakash, Satya Racovita, Adrian Petrucci, Teresa Galizi, Roberto Jaramillo, Alfonso Biodes Res Research Article Genetic variations such as mutations and recombinations arise spontaneously in all cultured organisms. Although it is possible to identify nonneutral mutations by selection or counterselection, the identification of neutral mutations in a heterogeneous population usually requires expensive and time-consuming methods such as quantitative or droplet polymerase chain reaction and high-throughput sequencing. Neutral mutations could even become dominant under changing environmental conditions enforcing transitory selection or counterselection. We propose a novel method, which we called qSanger, to quantify DNA using amplitude ratios of aligned electropherogram peaks from mixed Sanger sequencing reads. Plasmids expressing enhanced green fluorescent protein and mCherry fluorescent markers were used to validate qSanger both in vitro and in cotransformed Escherichia coli via quantitative polymerase chain reaction and fluorescence quantifications. We show that qSanger allows the quantification of genetic variants, including single-base natural polymorphisms or de novo mutations, from mixed Sanger sequencing reads, with substantial reduction of labor and costs compared to canonical approaches. AAAS 2023-02-07 /pmc/articles/PMC10521659/ /pubmed/37849461 http://dx.doi.org/10.34133/bdr.0007 Text en Copyright © 2023 Satya Prakash et al. https://creativecommons.org/licenses/by/4.0/Exclusive licensee Nanjing Agricultural University. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Prakash, Satya Racovita, Adrian Petrucci, Teresa Galizi, Roberto Jaramillo, Alfonso qSanger: Quantification of Genetic Variants in Bacterial Cultures by Sanger Sequencing |
title | qSanger: Quantification of Genetic Variants in Bacterial Cultures by Sanger Sequencing |
title_full | qSanger: Quantification of Genetic Variants in Bacterial Cultures by Sanger Sequencing |
title_fullStr | qSanger: Quantification of Genetic Variants in Bacterial Cultures by Sanger Sequencing |
title_full_unstemmed | qSanger: Quantification of Genetic Variants in Bacterial Cultures by Sanger Sequencing |
title_short | qSanger: Quantification of Genetic Variants in Bacterial Cultures by Sanger Sequencing |
title_sort | qsanger: quantification of genetic variants in bacterial cultures by sanger sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521659/ https://www.ncbi.nlm.nih.gov/pubmed/37849461 http://dx.doi.org/10.34133/bdr.0007 |
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