The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Development of the Chick Microbiome: How Early Exposure Influences Future Microbial Diversity
Open accessAbstract
The concept of improving animal health through improved gut health has existed in food animal production for decades; however, only recently have we had the tools to identify microbes in the intestine associated with improved performance. Currently, little is known about how the avian microbiome develops or the factors that affect its composition. To begin to address this knowledge gap, the present study assessed the development of the cecal microbiome in chicks from hatch to 28 days of age with and without a live Salmonella vaccine and/or probiotic supplement; both are products intended to promote gut health. The microbiome of growing chicks develops rapidly from days 1-3, and the microbiome is primarily Enterobacteriaceae, but Firmicutes increase in abundance and taxonomic diversity starting around day 7. As the microbiome continues to develop, the influence of the treatments becomes stronger. Predicted metagenomic content suggests that, functionally, treatment may stimulate more differences at day 14, despite the strong taxonomic differences at day 28. These results demonstrate that these live microbial treatments do impact the development of the bacterial taxa found in the growing chicks; however, additional experiments are needed to understand the biochemical and functional consequences of these alterations.
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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
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579
Jakobsson, H. E., Jernberg, C., Andersson, A. F., Sjölund-Karlsson, M., Jansson, J. K., & Engstrand, L. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009836 · Cited by 1,160
Comparative metagenomics revealed commonly enriched gene sets in human gut microbiomes
Kurokawa, K., Itoh, T., Kuwahara, T., Oshima, K., Toh, H., Toyoda, A., Takami, H., Morita, H., Sharma, V. K., Srivastava, T. P., et al. (2007) · DNA Research · doi:10.1093/dnares/dsm018 · Cited by 869
Tlaskalová-Hogenová, H., Štěpánková, R., Kozáková, H., Hudcovic, T., Vannucci, L., Tučková, L., Rossmann, P., Hrnčíř, T., Kverka, M., Zákostelská, Z., et al. (2011) · Cellular & Molecular Immunology · doi:10.1038/cmi.2010.67 · Cited by 693
Cited by
Wei, H., Wang, L., Hassan, M., & Xie, B. (2018) · Bioresource Technology · doi:10.1016/j.biortech.2018.02.050 · Cited by 455
Microbiota, Gut Health and Chicken Productivity: What Is the Connection?
Diaz Carrasco, J. M., Casanova, N. A., & Fernández Miyakawa, M. E. (2019) · Microorganisms · doi:10.3390/microorganisms7100374 · Cited by 448
Khan, S., Moore, R. J., Stanley, D., & Chousalkar, K. K. (2020) · Applied and Environmental Microbiology · doi:10.1128/aem.00600-20 · Cited by 373
The effect of microbiome modulation on the intestinal health of poultry
Kogut, M. H. (2019) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2018.10.008 · Cited by 283
Metadata
- Authors
- Ballou, A. L., Ali, R. A., Mendoza, M. A., Ellis, J. C., Hassan, H. M., Croom, W. J., & Koci, M. D.
- Venue
- Frontiers in Veterinary Science
- Publisher
- Frontiers Media SA
- Published
- 2016-01-20
- Volume
- 3
- Pages
- 2-2
- ISSN
- 2297-1769 (ISSN-L)
- OpenAlex
- W2258076962
- Cited by
- 364
- References
- 10
- FWCI
- 34.30
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ballou, A. L., Ali, R. A., Mendoza, M. A., Ellis, J. C., Hassan, H. M., Croom, W. J., & Koci, M. D. (2016). Development of the Chick Microbiome: How Early Exposure Influences Future Microbial Diversity. Frontiers in Veterinary Science. https://doi.org/10.3389/fvets.2016.00002
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