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Multifaceted DNA metabarcoding: Validation of a noninvasive, next‐generation approach to studying bat populations

As multiple species of bats are currently experiencing dramatic declines in populations due to white‐nose syndrome (WNS) and other factors, conservation managers have an urgent need for data on the ecology and overall status of populations of once‐common bat species. Standard approaches to obtain da...

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Autores principales: Swift, Joel F., Lance, Richard F., Guan, Xin, Britzke, Eric R., Lindsay, Denise L., Edwards, Christine E.
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/PMC6050187/
https://www.ncbi.nlm.nih.gov/pubmed/30026801
http://dx.doi.org/10.1111/eva.12644
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author Swift, Joel F.
Lance, Richard F.
Guan, Xin
Britzke, Eric R.
Lindsay, Denise L.
Edwards, Christine E.
author_facet Swift, Joel F.
Lance, Richard F.
Guan, Xin
Britzke, Eric R.
Lindsay, Denise L.
Edwards, Christine E.
author_sort Swift, Joel F.
collection PubMed
description As multiple species of bats are currently experiencing dramatic declines in populations due to white‐nose syndrome (WNS) and other factors, conservation managers have an urgent need for data on the ecology and overall status of populations of once‐common bat species. Standard approaches to obtain data on bat populations often involve capture and handling, requiring extensive expertise and unavoidably resulting in stress to the bats. New methods to rapidly obtain critical data are needed that minimize both the stress on bats and the spread of WNS. Guano provides a noninvasive source of DNA that includes information from the bat, but also dietary items, parasites, and pathogens. DNA metabarcoding is a high‐throughput, DNA‐based identification technique to assess the biodiversity of environmental or fecal samples. We investigated the use of multifaceted DNA metabarcoding (MDM), a technique combining next‐generation DNA sequencing (NGS), DNA barcodes, and bioinformatic analysis, to simultaneously collect data on multiple parameters of interest (bat species composition, individual genotype, sex ratios, diet, parasites, and presence of WNS) from fecal samples using a single NGS run. We tested the accuracy of each MDM assay using samples in which these parameters were previously determined using conventional approaches. We found that assays for bat species identification, insect diet, parasite diversity, and genotype were both sensitive and accurate, the assay to detect WNS was highly sensitive but requires careful sample processing steps to ensure the reliability of results, while assays for nectivorous diet and sex showed lower sensitivity. MDM was able to quantify multiple data classes from fecal samples simultaneously, and results were consistent whether we included assays for a single data class or multiple data classes. Overall, MDM is a useful approach that employs noninvasive sampling and a customizable suite of assays to gain important and largely accurate information on bat ecology and population dynamics.
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spelling pubmed-60501872018-07-19 Multifaceted DNA metabarcoding: Validation of a noninvasive, next‐generation approach to studying bat populations Swift, Joel F. Lance, Richard F. Guan, Xin Britzke, Eric R. Lindsay, Denise L. Edwards, Christine E. Evol Appl Original Articles As multiple species of bats are currently experiencing dramatic declines in populations due to white‐nose syndrome (WNS) and other factors, conservation managers have an urgent need for data on the ecology and overall status of populations of once‐common bat species. Standard approaches to obtain data on bat populations often involve capture and handling, requiring extensive expertise and unavoidably resulting in stress to the bats. New methods to rapidly obtain critical data are needed that minimize both the stress on bats and the spread of WNS. Guano provides a noninvasive source of DNA that includes information from the bat, but also dietary items, parasites, and pathogens. DNA metabarcoding is a high‐throughput, DNA‐based identification technique to assess the biodiversity of environmental or fecal samples. We investigated the use of multifaceted DNA metabarcoding (MDM), a technique combining next‐generation DNA sequencing (NGS), DNA barcodes, and bioinformatic analysis, to simultaneously collect data on multiple parameters of interest (bat species composition, individual genotype, sex ratios, diet, parasites, and presence of WNS) from fecal samples using a single NGS run. We tested the accuracy of each MDM assay using samples in which these parameters were previously determined using conventional approaches. We found that assays for bat species identification, insect diet, parasite diversity, and genotype were both sensitive and accurate, the assay to detect WNS was highly sensitive but requires careful sample processing steps to ensure the reliability of results, while assays for nectivorous diet and sex showed lower sensitivity. MDM was able to quantify multiple data classes from fecal samples simultaneously, and results were consistent whether we included assays for a single data class or multiple data classes. Overall, MDM is a useful approach that employs noninvasive sampling and a customizable suite of assays to gain important and largely accurate information on bat ecology and population dynamics. John Wiley and Sons Inc. 2018-05-31 /pmc/articles/PMC6050187/ /pubmed/30026801 http://dx.doi.org/10.1111/eva.12644 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
Swift, Joel F.
Lance, Richard F.
Guan, Xin
Britzke, Eric R.
Lindsay, Denise L.
Edwards, Christine E.
Multifaceted DNA metabarcoding: Validation of a noninvasive, next‐generation approach to studying bat populations
title Multifaceted DNA metabarcoding: Validation of a noninvasive, next‐generation approach to studying bat populations
title_full Multifaceted DNA metabarcoding: Validation of a noninvasive, next‐generation approach to studying bat populations
title_fullStr Multifaceted DNA metabarcoding: Validation of a noninvasive, next‐generation approach to studying bat populations
title_full_unstemmed Multifaceted DNA metabarcoding: Validation of a noninvasive, next‐generation approach to studying bat populations
title_short Multifaceted DNA metabarcoding: Validation of a noninvasive, next‐generation approach to studying bat populations
title_sort multifaceted dna metabarcoding: validation of a noninvasive, next‐generation approach to studying bat populations
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6050187/
https://www.ncbi.nlm.nih.gov/pubmed/30026801
http://dx.doi.org/10.1111/eva.12644
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