ArticleEvolutionary applications2018
Multifaceted DNA metabarcoding: Validation of a noninvasive, next-generation approach to studying bat populations.
Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 38 citations in OpenAlex.
- Using next-generation sequencing to unravel the diet composition of Burrowing Parrots over the annual cycle.Die Naturwissenschaften · 2026Article
- Article
- Trogloxene guano as a source of information on environmental pollution.Scientific reports · 2026Article
- Restoration age affects microbial-herbaceous plant interactions in an oak woodland.Ecology and evolution · 2024Article
- Article
- Evaluation of physiological stress in free-ranging bears: current knowledge and future directions.Biological reviews of the Cambridge Philosophical Society · 2023Review
- Metabarcoding dietary analysis in the insectivorous batBiodiversity data journal · 2023Article
- Endangered Nectar-Feeding Bat Detected by Environmental DNA on Flowers.Animals : an open access journal from MDPI · 2022Article
- Focal vs. fecal: Seasonal variation in the diet of wild vervet monkeys from observational and DNA metabarcoding data.Ecology and evolution · 2022Article
- Multifaceted DNA metabarcoding of guano to uncover multiple classes of ecological data in two different bat communities.Evolutionary applications · 2022Article
- Strategies for sample labelling and library preparation in DNA metabarcoding studies.Molecular ecology resources · 2022Review
- Biological composition analysis of a natural medicine, Faeces Vespertilionis, with complex sources using DNA metabarcoding.Scientific reports · 2022Article
- Molecular detection of coccidian Apicomplexa Parasites isolated from wild crab-eating and pampas foxes through novel TaqMan™ probes: a contribution to their molecular epidemiology.Molecular biology reports · 2021Article
- Epidemiology and Molecular Characterization of Rotavirus A in Fruit Bats in Bangladesh.EcoHealth · 2020Article
- Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance.GigaScience · 2019Review
- The menu varies with metabarcoding practices: A case study with the bat Plecotus auritus.PloS one · 2019Article
- Multifaceted DNA metabarcoding: Validation of a noninvasive, next-generation approach to studying bat populations.Evolutionary applications · 2018Article
- Next-generation conservation genetics and biodiversity monitoring.Evolutionary applications · 2018Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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