The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Factors influencing the grass carp gut microbiome and its effect on metabolism
Abstract
Gut microbiota have attracted extensive attention recently because of their important role in host metabolism, immunity and health maintenance. The present study focused on factors affecting the gut microbiome of grass carp (Ctenopharyngodon idella) and further explored the potential effect of the gut microbiome on metabolism. Totally, 43.39 Gb of screened metagenomic sequences obtained from 24 gut samples were fully analysed. We detected 1228 phylotypes (116 Archaea and 1112 Bacteria), most of which belonged to the phyla Firmicutes, Proteobacteria and Fusobacteria. Totally, 41335 of the detected open reading frames (ORFs) were matched to Kyoto Encyclopedia of Genes and Genomes pathways, and carbohydrate and amino acid metabolism was the main matched pathway deduced from the annotated ORFs. Redundancy analysis based on the phylogenetic composition and gene composition of the gut microbiome indicated that gut fullness and feeding (i.e. ryegrass vs. commercial feed, and pond-cultured vs. wild) were significantly related to the gut microbiome. Moreover, many biosynthesis and metabolism pathways of carbohydrates, amino acids and lipids were significantly enhanced by the gut microbiome in ryegrass-fed grass carp. These findings suggest that the metabolic role played by the gut microbiome in grass carp can be affected by feeding. These findings contribute to the field of fish gut microbial ecology and also provide a basis for follow-up functional studies.
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Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
Evolution of mammals and their gut microbes
Ley, R. E., Hamady, M., Lozupone, C., Turnbaugh, P. J., Ramey, R. R., Bircher, J. S., Schlegel, M. L., Tucker, T. A., Schrenzel, M. D., Knight, R., et al. (2008) · Science · doi:10.1126/science.1155725 · Cited by 3,747
The gut flora as a forgotten organ
O'Hara, A. M., & Shanahan, F. (2006) · The EMBO Reports · doi:10.1038/sj.embor.7400731 · Cited by 2,791
A framework for human microbiome research
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11209 · Cited by 2,650
Mechanisms underlying the resistance to diet-induced obesity in germ-free mice
Bäckhed, F., Manchester, J. K., Semenkovich, C. F., & Gordon, J. I. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605374104 · Cited by 2,615
Reduced diversity of faecal microbiota in Crohn’s disease revealed by a metagenomic approach
Manichanh, C., Rigottier-Gois, L., Bonnaud, E., Gloux, K., Pelletier, E., Frangeul, L., Nalin, R., Jarrin, C., Chardon, P., Marteau, P., et al. (2006) · Gut · doi:10.1136/gut.2005.073817 · Cited by 2,277
Molecular Analysis of Commensal Host-Microbial Relationships in the Intestine
Hooper, L. V., Wong, M. H., Thelin, A., Hansson, L., Falk, P. G., & Gordon, J. I. (2001) · Science · doi:10.1126/science.291.5505.881 · Cited by 2,202
Diet Drives Convergence in Gut Microbiome Functions Across Mammalian Phylogeny and Within Humans
Muegge, B. D., Kuczynski, J., Knights, D., Clemente, J. C., González, A., Fontana, L., Henrissat, B., Knight, R., & Gordon, J. I. (2011) · Science · doi:10.1126/science.1198719 · Cited by 1,988
CDD: a Conserved Domain Database for protein classification
Marchler-Bauer, A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki069 · Cited by 1,156
Gut microorganisms, mammalian metabolism and personalized health care
Nicholson, J. K., Holmes, E., & Wilson, I. D. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1152 · Cited by 945
Cited by
A new view of the fish gut microbiome: advances from next-generation sequencing
Ghanbari, M., Kneifel, W., & Domig, K. J. (2015) · Aquaculture · doi:10.1016/j.aquaculture.2015.06.033 · Cited by 669
Yukgehnaish, K., Kumar, P., Sivachandran, P., Marimuthu, K., Arshad, A., Paray, B. A., & Arockiaraj, J. (2020) · Reviews in Aquaculture · doi:10.1111/raq.12416 · Cited by 470
Ikeda-Ohtsubo, W., Brugman, S., Warden, C. H., Rebel, J. M. J., Folkerts, G., & Pieterse, C. M. J. (2018) · Frontiers in Nutrition · doi:10.3389/fnut.2018.00090 · Cited by 115
Metadata
- Authors
- Ni, J., Yan, Q., Yu, Y., & Zhang, T.
- Venue
- FEMS Microbiology Ecology
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-12-11
- Volume
- 87
- Issue
- 3
- Pages
- 704-714
- ISSN
- 0168-6496 (ISSN-L)
- OpenAlex
- W2068779438
- Cited by
- 253
- References
- 12
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Open access
- closed
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