TY - JOUR
T1 - Multifaceted DNA metabarcoding
T2 - Validation of a noninvasive, next-generation approach to studying bat populations
AU - Swift, Joel F.
AU - Lance, Richard F.
AU - Guan, Xin
AU - Britzke, Eric R.
AU - Lindsay, Denise L.
AU - Edwards, Christine E.
N1 - Funding Information:
Funding information This work was supported by the U.S. Department of Defense’s Environmental Security Technology Certification Program (ESTCP Grant number 14 E-RC3-018). The authors would like to thank J. Elston, A. Ward, K. Putnum, T. Nicewander, C. Bathrick, and R. Doege at the Fort Worth Zoo for logistical support during the controlled feeding trial; P. Eiamcharoen and K. Keel of UC Davis for performing endoparasite necropsies; and M. Whitby, J. Nawrocki, S. Morgan, S. Stark, R. Rudd, J. Jung, and K. Patton for donating, lending, and procuring the paired tissue–guano samples that made this study possible. Views expressed in this manuscript are those of the authors’ and do not reflect the official policy or position of the Department of the Army, Department of Defense, or the U.S. Government. Use of trade, product, or firm names in this study is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Publisher Copyright:
© 2018 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd
PY - 2018/8
Y1 - 2018/8
N2 - 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.
AB - 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.
KW - DNA metabarcoding
KW - bats
KW - next-generation DNA sequencing
KW - noninvasive sampling
KW - population assessment
UR - http://www.scopus.com/inward/record.url?scp=85047817763&partnerID=8YFLogxK
U2 - 10.1111/eva.12644
DO - 10.1111/eva.12644
M3 - Article
AN - SCOPUS:85047817763
SN - 1752-4563
VL - 11
SP - 1120
EP - 1138
JO - Evolutionary Applications
JF - Evolutionary Applications
IS - 7
ER -