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Short Tandem Repeats as a High-Resolution Marker for Capturing Recent Orangutan Population Evolution

The genus Pongo is ideal to study population genetics adaptation, given its remarkable phenotypic divergence and the highly contrasting environmental conditions it’s been exposed to. Studying its genetic variation bears the promise to reveal a motion picture of these great apes’ evolutionary and ada...

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Autores principales: Voicu, Alina-Alexandra, Krützen, Michael, Bilgin Sonay, Tugce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581056/
https://www.ncbi.nlm.nih.gov/pubmed/36303734
http://dx.doi.org/10.3389/fbinf.2021.695784
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author Voicu, Alina-Alexandra
Krützen, Michael
Bilgin Sonay, Tugce
author_facet Voicu, Alina-Alexandra
Krützen, Michael
Bilgin Sonay, Tugce
author_sort Voicu, Alina-Alexandra
collection PubMed
description The genus Pongo is ideal to study population genetics adaptation, given its remarkable phenotypic divergence and the highly contrasting environmental conditions it’s been exposed to. Studying its genetic variation bears the promise to reveal a motion picture of these great apes’ evolutionary and adaptive history, and also helps us expand our knowledge of the patterns of adaptation and evolution. In this work, we advance the understanding of the genetic variation among wild orangutans through a genome-wide study of short tandem repeats (STRs). Their elevated mutation rate makes STRs ideal markers for the study of recent evolution within a given population. Current technological and algorithmic advances have rendered their sequencing and discovery more accurate, therefore their potential can be finally leveraged in population genetics studies. To study patterns of population variation within the wild orangutan population, we genotyped the short tandem repeats in a population of 21 individuals spanning four Sumatran and Bornean (sub-) species and eight Southeast Asian regions. We studied the impact of sequencing depth on our ability to genotype STRs and found that the STR copy number changes function as a powerful marker, correctly capturing the demographic history of these populations, even the divergences as recent as 10 Kya. Moreover, gene ontology enrichments for genes close to STR variants are aligned with local adaptations in the two islands. Coupled with more advanced STR-compatible population models, and selection tests, genomic studies based on STRs will be able to reduce the gap caused by the missing heritability for species with recent adaptations.
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spelling pubmed-95810562022-10-26 Short Tandem Repeats as a High-Resolution Marker for Capturing Recent Orangutan Population Evolution Voicu, Alina-Alexandra Krützen, Michael Bilgin Sonay, Tugce Front Bioinform Bioinformatics The genus Pongo is ideal to study population genetics adaptation, given its remarkable phenotypic divergence and the highly contrasting environmental conditions it’s been exposed to. Studying its genetic variation bears the promise to reveal a motion picture of these great apes’ evolutionary and adaptive history, and also helps us expand our knowledge of the patterns of adaptation and evolution. In this work, we advance the understanding of the genetic variation among wild orangutans through a genome-wide study of short tandem repeats (STRs). Their elevated mutation rate makes STRs ideal markers for the study of recent evolution within a given population. Current technological and algorithmic advances have rendered their sequencing and discovery more accurate, therefore their potential can be finally leveraged in population genetics studies. To study patterns of population variation within the wild orangutan population, we genotyped the short tandem repeats in a population of 21 individuals spanning four Sumatran and Bornean (sub-) species and eight Southeast Asian regions. We studied the impact of sequencing depth on our ability to genotype STRs and found that the STR copy number changes function as a powerful marker, correctly capturing the demographic history of these populations, even the divergences as recent as 10 Kya. Moreover, gene ontology enrichments for genes close to STR variants are aligned with local adaptations in the two islands. Coupled with more advanced STR-compatible population models, and selection tests, genomic studies based on STRs will be able to reduce the gap caused by the missing heritability for species with recent adaptations. Frontiers Media S.A. 2021-08-16 /pmc/articles/PMC9581056/ /pubmed/36303734 http://dx.doi.org/10.3389/fbinf.2021.695784 Text en Copyright © 2021 Voicu, Krützen and Bilgin Sonay. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioinformatics
Voicu, Alina-Alexandra
Krützen, Michael
Bilgin Sonay, Tugce
Short Tandem Repeats as a High-Resolution Marker for Capturing Recent Orangutan Population Evolution
title Short Tandem Repeats as a High-Resolution Marker for Capturing Recent Orangutan Population Evolution
title_full Short Tandem Repeats as a High-Resolution Marker for Capturing Recent Orangutan Population Evolution
title_fullStr Short Tandem Repeats as a High-Resolution Marker for Capturing Recent Orangutan Population Evolution
title_full_unstemmed Short Tandem Repeats as a High-Resolution Marker for Capturing Recent Orangutan Population Evolution
title_short Short Tandem Repeats as a High-Resolution Marker for Capturing Recent Orangutan Population Evolution
title_sort short tandem repeats as a high-resolution marker for capturing recent orangutan population evolution
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581056/
https://www.ncbi.nlm.nih.gov/pubmed/36303734
http://dx.doi.org/10.3389/fbinf.2021.695784
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