Evidence map›Paper›PMID 30026801›Full record

ArticleEvolutionary applications2018

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

Joel F Swift, Richard F Lance, Xin Guan, Eric R Britzke, Denise L Lindsay, Christine E Edwards

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.8field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Biology · 2026
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  6. Review
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  8. Endangered Nectar-Feeding Bat Detected by Environmental DNA on Flowers.Animals : an open access journal from MDPI · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Joel F SwiftCenter for Conservation and Sustainable Development Missouri Botanical Garden St. Louis Missouri.
Richard F LanceEnvironmental Laboratory US Army Engineer Research and Development Center Vicksburg Mississippi.
Xin GuanBennett Aerospace Cary North Carolina.
Eric R BritzkeEnvironmental Laboratory US Army Engineer Research and Development Center Vicksburg Mississippi.
Denise L LindsayEnvironmental Laboratory US Army Engineer Research and Development Center Vicksburg Mississippi.
Christine E EdwardsCenter for Conservation and Sustainable Development Missouri Botanical Garden St. Louis Missouri.ORCID 0000-0001-8837-4872
U.S. Army Engineer Research and Development Center · USMissouri Botanical Garden · USBennett Aerospace (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

batsDNA metabarcodingnext‐generation DNA sequencingnoninvasive samplingpopulation assessment

Identifiers

PMID30026801
PMCPMC6050187
OpenAlexW2800417368

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.