Automated genotyping of microsatellite loci from feces with high throughput sequences

Ecological and conservation genetic studies often use noninvasive sampling, especially with elusive or endangered species. Because microsatellites are generally short in length, they can be amplified from low quality samples such as feces. Microsatellites are highly polymorphic so few markers are en...

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Published in:PLOS ONE
Main Authors: Salado, Isabel, Fernández-Gil, Alberto, Vilà, Carles, Leonard, Jennifer A.
Other Authors: Dutta, Trishna, Junta de Andalucía, Spanish Ministerio de Educación y Formación Profesional, Fundación General CSIC
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2021
Subjects:
Online Access:http://dx.doi.org/10.1371/journal.pone.0258906
https://dx.plos.org/10.1371/journal.pone.0258906
id crplos:10.1371/journal.pone.0258906
record_format openpolar
spelling crplos:10.1371/journal.pone.0258906 2024-09-30T14:33:34+00:00 Automated genotyping of microsatellite loci from feces with high throughput sequences Salado, Isabel Fernández-Gil, Alberto Vilà, Carles Leonard, Jennifer A. Dutta, Trishna Junta de Andalucía Spanish Ministerio de Educación y Formación Profesional Fundación General CSIC 2021 http://dx.doi.org/10.1371/journal.pone.0258906 https://dx.plos.org/10.1371/journal.pone.0258906 en eng Public Library of Science (PLoS) http://creativecommons.org/licenses/by/4.0/ PLOS ONE volume 16, issue 10, page e0258906 ISSN 1932-6203 journal-article 2021 crplos https://doi.org/10.1371/journal.pone.0258906 2024-09-17T04:33:40Z Ecological and conservation genetic studies often use noninvasive sampling, especially with elusive or endangered species. Because microsatellites are generally short in length, they can be amplified from low quality samples such as feces. Microsatellites are highly polymorphic so few markers are enough for reliable individual identification, kinship determination, or population characterization. However, the genotyping process from feces is expensive and time consuming. Given next-generation sequencing (NGS) and recent software developments, automated microsatellite genotyping from NGS data may now be possible. These software packages infer the genotypes directly from sequence reads, increasing throughput. Here we evaluate the performance of four software packages to genotype microsatellite loci from Iberian wolf ( Canis lupus ) feces using NGS. We initially combined 46 markers in a single multiplex reaction for the first time, of which 19 were included in the final analyses. Megasat was the software that provided genotypes with fewer errors. Coverage over 100X provided little additional information, but a relatively high number of PCR replicates were necessary to obtain a high quality genotype from highly unoptimized, multiplexed reactions (10 replicates for 18 of the 19 loci analyzed here). This could be reduced through optimization. The use of new bioinformatic tools and next-generation sequencing data to genotype these highly informative markers may increase throughput at a reasonable cost and with a smaller amount of laboratory work. Thus, high throughput sequencing approaches could facilitate the use of microsatellites with fecal DNA to address ecological and conservation questions. Article in Journal/Newspaper Canis lupus PLOS PLOS ONE 16 10 e0258906
institution Open Polar
collection PLOS
op_collection_id crplos
language English
description Ecological and conservation genetic studies often use noninvasive sampling, especially with elusive or endangered species. Because microsatellites are generally short in length, they can be amplified from low quality samples such as feces. Microsatellites are highly polymorphic so few markers are enough for reliable individual identification, kinship determination, or population characterization. However, the genotyping process from feces is expensive and time consuming. Given next-generation sequencing (NGS) and recent software developments, automated microsatellite genotyping from NGS data may now be possible. These software packages infer the genotypes directly from sequence reads, increasing throughput. Here we evaluate the performance of four software packages to genotype microsatellite loci from Iberian wolf ( Canis lupus ) feces using NGS. We initially combined 46 markers in a single multiplex reaction for the first time, of which 19 were included in the final analyses. Megasat was the software that provided genotypes with fewer errors. Coverage over 100X provided little additional information, but a relatively high number of PCR replicates were necessary to obtain a high quality genotype from highly unoptimized, multiplexed reactions (10 replicates for 18 of the 19 loci analyzed here). This could be reduced through optimization. The use of new bioinformatic tools and next-generation sequencing data to genotype these highly informative markers may increase throughput at a reasonable cost and with a smaller amount of laboratory work. Thus, high throughput sequencing approaches could facilitate the use of microsatellites with fecal DNA to address ecological and conservation questions.
author2 Dutta, Trishna
Junta de Andalucía
Spanish Ministerio de Educación y Formación Profesional
Fundación General CSIC
format Article in Journal/Newspaper
author Salado, Isabel
Fernández-Gil, Alberto
Vilà, Carles
Leonard, Jennifer A.
spellingShingle Salado, Isabel
Fernández-Gil, Alberto
Vilà, Carles
Leonard, Jennifer A.
Automated genotyping of microsatellite loci from feces with high throughput sequences
author_facet Salado, Isabel
Fernández-Gil, Alberto
Vilà, Carles
Leonard, Jennifer A.
author_sort Salado, Isabel
title Automated genotyping of microsatellite loci from feces with high throughput sequences
title_short Automated genotyping of microsatellite loci from feces with high throughput sequences
title_full Automated genotyping of microsatellite loci from feces with high throughput sequences
title_fullStr Automated genotyping of microsatellite loci from feces with high throughput sequences
title_full_unstemmed Automated genotyping of microsatellite loci from feces with high throughput sequences
title_sort automated genotyping of microsatellite loci from feces with high throughput sequences
publisher Public Library of Science (PLoS)
publishDate 2021
url http://dx.doi.org/10.1371/journal.pone.0258906
https://dx.plos.org/10.1371/journal.pone.0258906
genre Canis lupus
genre_facet Canis lupus
op_source PLOS ONE
volume 16, issue 10, page e0258906
ISSN 1932-6203
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1371/journal.pone.0258906
container_title PLOS ONE
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container_issue 10
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