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Challenges of next‐generation sequencing in conservation management: Insights from long‐term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape

Long‐term genetic monitoring of populations is essential for efforts aimed at preserving genetic diversity of endangered species. Here, we employ a framework of long‐term genetic monitoring to evaluate the effects of fragmentation and the effectiveness of the establishment of corridors in restoring...

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Autores principales: Montero, B. Karina, Refaly, Ernest, Ramanamanjato, Jean‐Baptiste, Randriatafika, Faly, Rakotondranary, S. Jacques, Wilhelm, Kerstin, Ganzhorn, Jörg U., Sommer, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383737/
https://www.ncbi.nlm.nih.gov/pubmed/30828365
http://dx.doi.org/10.1111/eva.12723
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author Montero, B. Karina
Refaly, Ernest
Ramanamanjato, Jean‐Baptiste
Randriatafika, Faly
Rakotondranary, S. Jacques
Wilhelm, Kerstin
Ganzhorn, Jörg U.
Sommer, Simone
author_facet Montero, B. Karina
Refaly, Ernest
Ramanamanjato, Jean‐Baptiste
Randriatafika, Faly
Rakotondranary, S. Jacques
Wilhelm, Kerstin
Ganzhorn, Jörg U.
Sommer, Simone
author_sort Montero, B. Karina
collection PubMed
description Long‐term genetic monitoring of populations is essential for efforts aimed at preserving genetic diversity of endangered species. Here, we employ a framework of long‐term genetic monitoring to evaluate the effects of fragmentation and the effectiveness of the establishment of corridors in restoring population connectivity and genetic diversity of mouse lemurs Microcebus ganzhorni. To this end, we supplement estimates of neutral genetic diversity with the assessment of adaptive genetic variability of the major histocompatibility complex (MHC). In addition, we address the challenges of long‐term genetic monitoring of functional diversity by comparing the genotyping performance and estimates of MHC variability generated by single‐stranded conformation polymorphism (SSCP)/Sanger sequencing with those obtained by high‐throughput sequencing (next‐generation sequencing [NGS], Illumina), an issue that is particularly relevant when previous work serves as a baseline for planning management strategies that aim to ensure the viability of a population. We report that SSCP greatly underestimates individual diversity and that discrepancies in estimates of MHC diversity attributable to the comparisons of traditional and NGS genotyping techniques can influence the conclusions drawn from conservation management scenarios. Evidence of migration among fragments in Mandena suggests that mouse lemurs are robust to the process of fragmentation and that the effect of corridors is masked by ongoing gene flow. Nonetheless, results based on a larger number of shared private alleles at neutral loci between fragment pairs found after the establishment of corridors in Mandena suggest that gene flow is augmented as a result of enhanced connectivity. Our data point out that despite low effective population size, M. ganzhorni maintains high individual heterozygosity at neutral loci and at MHC II DRB gene and that selection plays a predominant role in maintaining MHC diversity. These findings highlight the importance of long‐term genetic monitoring in order to disentangle between the processes of drift and selection maintaining adaptive genetic diversity in small populations.
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spelling pubmed-63837372019-03-01 Challenges of next‐generation sequencing in conservation management: Insights from long‐term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape Montero, B. Karina Refaly, Ernest Ramanamanjato, Jean‐Baptiste Randriatafika, Faly Rakotondranary, S. Jacques Wilhelm, Kerstin Ganzhorn, Jörg U. Sommer, Simone Evol Appl Original Articles Long‐term genetic monitoring of populations is essential for efforts aimed at preserving genetic diversity of endangered species. Here, we employ a framework of long‐term genetic monitoring to evaluate the effects of fragmentation and the effectiveness of the establishment of corridors in restoring population connectivity and genetic diversity of mouse lemurs Microcebus ganzhorni. To this end, we supplement estimates of neutral genetic diversity with the assessment of adaptive genetic variability of the major histocompatibility complex (MHC). In addition, we address the challenges of long‐term genetic monitoring of functional diversity by comparing the genotyping performance and estimates of MHC variability generated by single‐stranded conformation polymorphism (SSCP)/Sanger sequencing with those obtained by high‐throughput sequencing (next‐generation sequencing [NGS], Illumina), an issue that is particularly relevant when previous work serves as a baseline for planning management strategies that aim to ensure the viability of a population. We report that SSCP greatly underestimates individual diversity and that discrepancies in estimates of MHC diversity attributable to the comparisons of traditional and NGS genotyping techniques can influence the conclusions drawn from conservation management scenarios. Evidence of migration among fragments in Mandena suggests that mouse lemurs are robust to the process of fragmentation and that the effect of corridors is masked by ongoing gene flow. Nonetheless, results based on a larger number of shared private alleles at neutral loci between fragment pairs found after the establishment of corridors in Mandena suggest that gene flow is augmented as a result of enhanced connectivity. Our data point out that despite low effective population size, M. ganzhorni maintains high individual heterozygosity at neutral loci and at MHC II DRB gene and that selection plays a predominant role in maintaining MHC diversity. These findings highlight the importance of long‐term genetic monitoring in order to disentangle between the processes of drift and selection maintaining adaptive genetic diversity in small populations. John Wiley and Sons Inc. 2018-11-13 /pmc/articles/PMC6383737/ /pubmed/30828365 http://dx.doi.org/10.1111/eva.12723 Text en © 2018 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Montero, B. Karina
Refaly, Ernest
Ramanamanjato, Jean‐Baptiste
Randriatafika, Faly
Rakotondranary, S. Jacques
Wilhelm, Kerstin
Ganzhorn, Jörg U.
Sommer, Simone
Challenges of next‐generation sequencing in conservation management: Insights from long‐term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape
title Challenges of next‐generation sequencing in conservation management: Insights from long‐term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape
title_full Challenges of next‐generation sequencing in conservation management: Insights from long‐term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape
title_fullStr Challenges of next‐generation sequencing in conservation management: Insights from long‐term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape
title_full_unstemmed Challenges of next‐generation sequencing in conservation management: Insights from long‐term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape
title_short Challenges of next‐generation sequencing in conservation management: Insights from long‐term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape
title_sort challenges of next‐generation sequencing in conservation management: insights from long‐term monitoring of corridor effects on the genetic diversity of mouse lemurs in a fragmented landscape
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383737/
https://www.ncbi.nlm.nih.gov/pubmed/30828365
http://dx.doi.org/10.1111/eva.12723
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