The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Comparative Gut Microbiota of 59 Neotropical Bird Species
Open accessAbstract
The gut microbiota of vertebrates are essential to host health. Most non-model vertebrates, however, lack even a basic description of natural gut microbiota biodiversity. Here, we sampled 116 intestines from 59 Neotropical bird species and used the V6 region of the 16S rRNA molecule as a microbial fingerprint (average coverage per bird ~80,000 reads). A core microbiota of Proteobacteria, Firmicutes, Bacteroidetes, and Actinobacteria was identified, as well as several gut-associated genera. We tested 18 categorical variables associated with each bird for significant correlation to the gut microbiota; host taxonomic categories were most frequently significant and explained the most variation. Ecological variables (e.g., diet, foraging stratum) were also frequently significant but explained less variation. Little evidence was found for a significant influence of geographic space. Finally, we suggest that microbial sampling during field collection of organisms would propel biological understanding of evolutionary history and ecological significance of host-associated microbiota.
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MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662
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
vegan: Community Ecology Package
Oksanen, J., Simpson, G. L., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O'Hara, R. B., Solymos, P., Stevens, M. H. H., Szoecs, E., et al. (2001) · CRAN: Contributed Packages · doi:10.32614/cran.package.vegan · Cited by 22,615
Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 19,885
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 19,549
Non‐parametric multivariate analyses of changes in community structure
CLARKE, K. R. (1993) · Australian Journal of Ecology · doi:10.1111/j.1442-9993.1993.tb00438.x · Cited by 14,128
BEAST: Bayesian evolutionary analysis by sampling trees
Drummond, A. J., & Rambaut, A. (2007) · BMC Evolutionary Biology · doi:10.1186/1471-2148-7-214 · Cited by 12,919
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Experimental Design and Data Analysis for Biologists
Quinn, G. P., & Keough, M. J. (2002) · doi:10.1017/cbo9780511806384 · Cited by 10,674
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
Cited by
Brooks, A. W., Kohl, K. D., Brucker, R. M., van Opstal, E. J., & Bordenstein, S. R. (2016) · PLOS Biology · doi:10.1371/journal.pbio.2000225 · Cited by 632
The seed microbiome: Origins, interactions, and impacts
Nelson, E. B. (2018) · Plant and Soil · doi:10.1007/s11104-017-3289-7 · Cited by 560
Hu, X., Liu, G., Li, Y., Wei, Y., Lin, S., Liu, S., Zheng, Y., & Hu, D. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01674 · Cited by 69
Metadata
- Authors
- Hird, S. M., Sánchez, C., Carstens, B. C., & Brumfield, R. T.
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2015-12-21
- Volume
- 6
- Pages
- 1403-1403
- ISSN
- 1664-302X (ISSN-L)
- OpenAlex
- W2181705929
- Cited by
- 332
- References
- 64
- FWCI
- 6.56
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hird, S. M., Sánchez, C., Carstens, B. C., & Brumfield, R. T. (2015). Comparative Gut Microbiota of 59 Neotropical Bird Species. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2015.01403
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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.
