The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Early‐life establishment of the swine gut microbiome and impact on host phenotypes
Abstract
Summary: Early bacterial colonization and succession within the gastrointestinal tract has been suggested to be crucial in the establishment of specific microbiota composition and the shaping of host phenotype. Here, the composition and dynamics of faecal microbiomes were studied for 31 healthy piglets across five age strata (days 14, 36, 48, 60 and 70 after birth) together with their mothers. Faecal microbiome composition was assessed by 16 S rRNA gene 454‐pyrosequencing. B acteroidetes and F irmicutes were the predominant phyla present at each age. For all piglets, luminal secretory IgA concentration was measured at day 70, and body weight was recorded until day 70. The microbiota of suckling piglets was mainly represented by B acteroides , O scillibacter, E scherichia/ S higella, L actobacillus and unclassified R uminococcaceae genera. This pattern contrasted with that of A cetivibrio, D ialister, O ribacterium, S uccinivibrio and P revotella genera, which appeared increased after weaning. L actobacillus fermentum might be vertically transferred via breast milk or faeces. The microbiota composition coevolved with their hosts towards two different clusters after weaning, primarily distinguished by unclassified R uminococcaceae and P revotella abundances. P revotella was positively correlated with luminal secretory IgA concentrations, and body weight. Our study opens up new possibilities for health and feed efficiency manipulation via genetic selection and nutrition in the agricultural domain.
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
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 48,949
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
phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data
McMurdie, P. J., & Holmes, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061217 · Cited by 21,322
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894
Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
Li, W., & Godzik, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl158 · Cited by 11,410
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
A scaling normalization method for differential expression analysis of RNA-seq data
Robinson, M. D., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-3-r25 · Cited by 7,876
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
Enterotypes of the human gut microbiome
MetaHIT Consortium (additional members), Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, T., Mende, D. R., Fernandes, G. R., Tap, J., Bruls, T., et al. (2011) · Nature · doi:10.1038/nature09944 · Cited by 7,548
Self-citation
Cited by
Enterotypes in the landscape of gut microbial community composition
Costea, P. I., Hildebrand, F., Arumugam, M., Bäckhed, F., Blaser, M. J., Bushman, F. D., de Vos, W. M., Ehrlich, S. D., Fraser, C. M., Hattori, M., et al. (2017) · Nature Microbiology · doi:10.1038/s41564-017-0072-8 · Cited by 1,138
Clark, A., & Mach, N. (2016) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-016-0155-6 · Cited by 583
“The gut microbiota promotes digestion and food absorption for host energy production [14–16] and provide folate [17], vitamin K2 [18] and SCFAs [19].”
BackgroundSelf-citationEndurance exercise and gut microbiota: A review
Mach, N., & Fuster-Botella, D. (2017) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2016.05.001 · Cited by 361
Self-citationThe Gut Microbiome, Energy Homeostasis, and Implications for Hypertension
Riedl, R. A., Atkinson, S. N., Burnett, C. M. L., Grobe, J. L., & Kirby, J. R. (2017) · Current Hypertension Reports · doi:10.1007/s11906-017-0721-6 · Cited by 58
Metadata
- Authors
- Mach, N., Berri, M., Estellé, J., Levenez, F., Lemonnier, G., Denis, C., Leplat, J., Chevaleyre, C., Billon, Y., Doré, J., Rogel‐Gaillard, C., & Lepage, P.
- Venue
- Environmental Microbiology Reports
- Publisher
- Wiley
- Published
- 2015-05-06
- Volume
- 7
- Issue
- 3
- Pages
- 554-569
- ISSN
- 1758-2229 (ISSN-L)
- OpenAlex
- W2120668531
- Cited by
- 448
- References
- 72
- FWCI
- 9.26
- Type
- journal article
- Language
- en
- Open access
- closed
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: Early‐life establishment of the swine gut microbiome and impact on host phenotypes. https://app.cochat.ai/papers/10.1111/1758-2229.12285
- The paper
- Mach, N., Berri, M., Estellé, J., Levenez, F., Lemonnier, G., Denis, C., Leplat, J., Chevaleyre, C., Billon, Y., Doré, J., Rogel‐Gaillard, C., & Lepage, P. (2015). Early‐life establishment of the swine gut microbiome and impact on host phenotypes. Environmental Microbiology Reports. https://doi.org/10.1111/1758-2229.12285
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.
