The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Caterpillars lack a resident gut microbiome
Open accessAbstract
Significance: Microorganisms residing within animal tissues as symbionts can be critically important to many aspects of animal biology. For example, the microbiomes of many insects, such as aphids, honeybees, and termites, can provide nutrients, deter pathogens, and help digest food. We examined whether caterpillars also engage in intimate microbial partnerships. Across a broad diversity of caterpillar species, we found that microbes in the gut are extremely low-abundance and predominantly leaf-derived, suggesting their transient nature. Furthermore, suppressing bacteria in tobacco hornworms ( Manduca sexta ) had no detectable effect on caterpillar growth or survival. With caterpillars as a prominent—but possibly not unique—example of relative autonomy, the degree of reliance on microbes is an underappreciated yet likely important dimension of animal biodiversity.
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Cites
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Cited by
Zhang, J., Gao, D., Li, Q., Zhao, Y., Li, L., Lin, H., Bi, Q., & Zhao, Y. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.135931 · Cited by 570
Honey bees as models for gut microbiota research
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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
- Hammer, T. J., Janzen, D. H., Hallwachs, W., Jaffe, S. P., & Fierer, N.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2017-08-22
- Volume
- 114
- Issue
- 36
- Pages
- 9641-9646
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2953381034
- Cited by
- 481
- References
- 90
- FWCI
- 39.17
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Hammer, T. J., Janzen, D. H., Hallwachs, W., Jaffe, S. P., & Fierer, N. (2017). Caterpillars lack a resident gut microbiome. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1707186114
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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