The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Antibiotic exposure perturbs the gut microbiota and elevates mortality in honeybees
Open accessAbstract
Gut microbiomes play crucial roles in animal health, and shifts in the gut microbial community structure can have detrimental impacts on hosts. Studies with vertebrate models and human subjects suggest that antibiotic treatments greatly perturb the native gut community, thereby facilitating proliferation of pathogens. In fact, persistent infections following antibiotic treatment are a major medical issue. In apiculture, antibiotics are frequently used to prevent bacterial infections of larval bees, but the impact of antibiotic-induced dysbiosis (microbial imbalance) on bee health and susceptibility to disease has not been fully elucidated. Here, we evaluated the effects of antibiotic exposure on the size and composition of honeybee gut communities. We monitored the survivorship of bees following antibiotic treatment in order to determine if dysbiosis of the gut microbiome impacts honeybee health, and we performed experiments to determine whether antibiotic exposure increases susceptibility to infection by opportunistic pathogens. Our results show that antibiotic treatment can have persistent effects on both the size and composition of the honeybee gut microbiome. Antibiotic exposure resulted in decreased survivorship, both in the hive and in laboratory experiments in which bees were exposed to opportunistic bacterial pathogens. Together, these results suggest that dysbiosis resulting from antibiotic exposure affects bee health, in part due to increased susceptibility to ubiquitous opportunistic pathogens. Not only do our results highlight the importance of the gut microbiome in honeybee health, but they also provide insights into how antibiotic treatment affects microbial communities and host health.
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
Cites
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
GARDES, M., & BRUNS, T. D. (1993) · Molecular Ecology · doi:10.1111/j.1365-294x.1993.tb00005.x · Cited by 10,480
Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J., Fierer, N., Owens, S. M., Betley, J., Fraser, L., Bauer, M., et al. (2012) · The ISME Journal · doi:10.1038/ismej.2012.8 · Cited by 8,839
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
The Complete Genome Sequence of Escherichia coli K-12
Blattner, F. R., Plunkett, G., Bloch, C. A., Perna, N. T., Burland, V., Riley, M., Collado-Vides, J., Glasner, J. D., Rode, C. K., Mayhew, G. F., et al. (1997) · Science · doi:10.1126/science.277.5331.1453 · Cited by 7,452
Changes of Intestinal Functions in Liver Cirrhosis
Fukui, H., & Wiest, R. (2016) · Inflammatory Intestinal Diseases · doi:10.1159/000444436 · Cited by 6,808
Pruesse, E., Quast, C., Knittel, K., Fuchs, B. M., Ludwig, W., Peplies, J., & Glockner, F. O. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm864 · Cited by 6,668
Global pollinator declines: trends, impacts and drivers
Potts, S. G., Biesmeijer, J. C., Kremen, C., Neumann, P., Schweiger, O., & Kunin, W. E. (2010) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2010.01.007 · Cited by 6,458
Vilgalys, R., & Hester, M. (1990) · Journal of Bacteriology · doi:10.1128/jb.172.8.4238-4246.1990 · Cited by 5,958
Diversity, stability and resilience of the human gut microbiota
Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K., & Knight, R. (2012) · Nature · doi:10.1038/nature11550 · Cited by 5,533
Cited by
Glyphosate perturbs the gut microbiota of honey bees
Motta, E. V. S., Raymann, K., & Moran, N. A. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1803880115 · Cited by 702
Self-citationHoneybee gut microbiota promotes host weight gain via bacterial metabolism and hormonal signaling
Zheng, H., Powell, J. E., Steele, M. I., Dietrich, C., & Moran, N. A. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701819114 · Cited by 664
Self-citationFlandroy, L., Poutahidis, T., Berg, G., Clarke, G., Dao, M.-C., Decaestecker, E., Furman, E., Haahtela, T., Massart, S., Plovier, H., et al. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.01.288 · Cited by 394
Drivers of Microbiome Biodiversity: A Review of General Rules, Feces, and Ignorance
Reese, A. T., & Dunn, R. R. (2018) · mBio · doi:10.1128/mbio.01294-18 · Cited by 325
Metadata
- Authors
- Raymann, K., Shaffer, Z., & Moran, N. A.
- Venue
- PLOS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-03-14
- Volume
- 15
- Issue
- 3
- Pages
- e2001861
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2714107744
- Cited by
- 544
- References
- 50
- FWCI
- 39.65
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Antibiotic exposure perturbs the gut microbiota and elevates mortality in honeybees. https://app.cochat.ai/papers/10.1371/journal.pbio.2001861
- The paper
- Raymann, K., Shaffer, Z., & Moran, N. A. (2017). Antibiotic exposure perturbs the gut microbiota and elevates mortality in honeybees. PLOS Biology. https://doi.org/10.1371/journal.pbio.2001861
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.
