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Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples
Research on the genetics of natural populations was revolutionized in the 1990s by methods for genotyping noninvasively collected samples. However, these methods have remained largely unchanged for the past 20 years and lag far behind the genomics era. To close this gap, here we report an optimized...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896188/ https://www.ncbi.nlm.nih.gov/pubmed/27098910 http://dx.doi.org/10.1534/genetics.116.187492 |
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author | Snyder-Mackler, Noah Majoros, William H. Yuan, Michael L. Shaver, Amanda O. Gordon, Jacob B. Kopp, Gisela H. Schlebusch, Stephen A. Wall, Jeffrey D. Alberts, Susan C. Mukherjee, Sayan Zhou, Xiang Tung, Jenny |
author_facet | Snyder-Mackler, Noah Majoros, William H. Yuan, Michael L. Shaver, Amanda O. Gordon, Jacob B. Kopp, Gisela H. Schlebusch, Stephen A. Wall, Jeffrey D. Alberts, Susan C. Mukherjee, Sayan Zhou, Xiang Tung, Jenny |
author_sort | Snyder-Mackler, Noah |
collection | PubMed |
description | Research on the genetics of natural populations was revolutionized in the 1990s by methods for genotyping noninvasively collected samples. However, these methods have remained largely unchanged for the past 20 years and lag far behind the genomics era. To close this gap, here we report an optimized laboratory protocol for genome-wide capture of endogenous DNA from noninvasively collected samples, coupled with a novel computational approach to reconstruct pedigree links from the resulting low-coverage data. We validated both methods using fecal samples from 62 wild baboons, including 48 from an independently constructed extended pedigree. We enriched fecal-derived DNA samples up to 40-fold for endogenous baboon DNA and reconstructed near-perfect pedigree relationships even with extremely low-coverage sequencing. We anticipate that these methods will be broadly applicable to the many research systems for which only noninvasive samples are available. The lab protocol and software (“WHODAD”) are freely available at www.tung-lab.org/protocols-and-software.html and www.xzlab.org/software.html, respectively. |
format | Online Article Text |
id | pubmed-4896188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-48961882016-06-17 Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples Snyder-Mackler, Noah Majoros, William H. Yuan, Michael L. Shaver, Amanda O. Gordon, Jacob B. Kopp, Gisela H. Schlebusch, Stephen A. Wall, Jeffrey D. Alberts, Susan C. Mukherjee, Sayan Zhou, Xiang Tung, Jenny Genetics Investigations Research on the genetics of natural populations was revolutionized in the 1990s by methods for genotyping noninvasively collected samples. However, these methods have remained largely unchanged for the past 20 years and lag far behind the genomics era. To close this gap, here we report an optimized laboratory protocol for genome-wide capture of endogenous DNA from noninvasively collected samples, coupled with a novel computational approach to reconstruct pedigree links from the resulting low-coverage data. We validated both methods using fecal samples from 62 wild baboons, including 48 from an independently constructed extended pedigree. We enriched fecal-derived DNA samples up to 40-fold for endogenous baboon DNA and reconstructed near-perfect pedigree relationships even with extremely low-coverage sequencing. We anticipate that these methods will be broadly applicable to the many research systems for which only noninvasive samples are available. The lab protocol and software (“WHODAD”) are freely available at www.tung-lab.org/protocols-and-software.html and www.xzlab.org/software.html, respectively. Genetics Society of America 2016-06 2016-04-19 /pmc/articles/PMC4896188/ /pubmed/27098910 http://dx.doi.org/10.1534/genetics.116.187492 Text en Copyright © 2016 by the Genetics Society of America Available freely online through the author-supported open access option. |
spellingShingle | Investigations Snyder-Mackler, Noah Majoros, William H. Yuan, Michael L. Shaver, Amanda O. Gordon, Jacob B. Kopp, Gisela H. Schlebusch, Stephen A. Wall, Jeffrey D. Alberts, Susan C. Mukherjee, Sayan Zhou, Xiang Tung, Jenny Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples |
title | Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples |
title_full | Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples |
title_fullStr | Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples |
title_full_unstemmed | Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples |
title_short | Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples |
title_sort | efficient genome-wide sequencing and low-coverage pedigree analysis from noninvasively collected samples |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896188/ https://www.ncbi.nlm.nih.gov/pubmed/27098910 http://dx.doi.org/10.1534/genetics.116.187492 |
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