The DOI matches its Crossref record.
Taxon‐specific PCR for DNA barcoding arthropod prey in bat faeces
Abstract
The application of DNA barcoding to dietary studies allows prey taxa to be identified in the absence of morphological evidence and permits a greater resolution of prey identity than is possible through direct examination of faecal material. For insectivorous bats, which typically eat a great diversity of prey and which chew and digest their prey thoroughly, DNA‐based approaches to diet analysis may provide the only means of assessing the range and diversity of prey within faeces. Here, we investigated the effectiveness of DNA barcoding in determining the diets of bat species that specialize in eating different taxa of arthropod prey. We designed and tested a novel taxon‐specific primer set and examined the performance of short barcode sequences in resolving prey species. We recovered prey DNA from all faecal samples and subsequent cloning and sequencing of PCR products, followed by a comparison of sequences to a reference database, provided species‐level identifications for 149/207 (72%) clones. We detected a phylogenetically broad range of prey while completely avoiding detection of nontarget groups. In total, 37 unique prey taxa were identified from 15 faecal samples. A comparison of DNA data with parallel morphological analyses revealed a close correlation between the two methods. However, the sensitivity and taxonomic resolution of the DNA method were far superior. The methodology developed here provides new opportunities for the study of bat diets and will be of great benefit to the conservation of these ecologically important predators.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Forest bolsters bird abundance, pest control and coffee yield
Karp, D. S., Mendenhall, C. D., Sandí, R. F., Chaumont, N., Ehrlich, P. R., Hadly, E. A., & Daily, G. C. (2013) · Ecology Letters · doi:10.1111/ele.12173 · Cited by 432
Piñol, J., Mir, G., Gomez‐Polo, P., & Agustí, N. (2015) · Molecular Ecology Resources · doi:10.1111/1755-0998.12355 · Cited by 423
Environmental metabarcodes for insects: in silicoPCR reveals potential for taxonomic bias
Clarke, L. J., Soubrier, J., Weyrich, L. S., & Cooper, A. (2014) · Molecular Ecology Resources · doi:10.1111/1755-0998.12265 · Cited by 351
Dietary DNA Metabarcoding From Animal Fecal Samples
McConnell, R. D., Jarrett, C., Ferreira, D. F., Powell, L. L., Quiñones, A. L. S., Dominoni, D. M., & Welch, A. J. (2026) · Current Protocols · doi:10.1002/cpz1.70226 · Cited by 2
Metadata
- Authors
- ZEALE, M. R. K., BUTLIN, R. K., BARKER, G. L. A., LEES, D. C., & JONES, G.
- Venue
- Molecular Ecology Resources
- Publisher
- Wiley
- Published
- 2010-09-26
- Volume
- 11
- Issue
- 2
- Pages
- 236-244
- ISSN
- 1755-098X (ISSN-L)
- 1755-0998
- OpenAlex
- W1571552535
- Cited by
- 593
- References
- 0
- FWCI
- 15.40
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.