The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Inter Individual Variations of the Fish Skin Microbiota: Host Genetics Basis of Mutualism?
Open accessAbstract
The commensal microbiota of fish skin is suspected to provide a protection against opportunist infections. The skin of fish harbors a complex and diverse microbiota that closely interacts with the surrounding water microbial communities. Up to now there is no clear evidence as to whether the host regulates the recruitment of environmental bacteria to build a specific skin microbiota. To address this question, we detected Quantitative Trait Loci (QTL) associated with the abundance of specific skin microbiota bacterial strains in brook charr (Salvelinus fontinalis), combining 16S RNA tagged-amplicon 454 pyrosequencing with genetic linkage analysis. Skin microbiota analysis revealed high inter-individual variation among 86 F2 fish progeny based upon the relative abundance of bacterial operational taxonomic units (OTUs). Out of those OTUs, the pathogenic strain Flavobacterium psychrophilum and the non-pathogenic strain Methylobacterium rhodesianum explained the majority of inter-individual distances. Furthermore, a strong negative correlation was found between Flavobacterium and Methylobacterium, suggesting a mutually competitive relationship. Finally, after considering a total of 266 markers, genetic linkage analysis highlighted three major QTL associated with the abundance of Lysobacter, Rheinheimera and Methylobacterium. All these three genera are known for their beneficial antibacterial activity. Overall, our results provide evidence that host genotype may regulate the abundance of specific genera among their surface microbiota. They also indicate that Lysobacter, Rheinheimera and Methylobacterium are potentially important genera in providing protection against pathogens.
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
Host-Bacterial Mutualism in the Human Intestine
Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1104816 · Cited by 5,277
Bacterial Community Variation in Human Body Habitats Across Space and Time
Costello, E. K., Lauber, C. L., Hamady, M., Fierer, N., Gordon, J. I., & Knight, R. (2009) · Science · doi:10.1126/science.1177486 · Cited by 3,231
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
Lymphoid tissue genesis induced by commensals through NOD1 regulates intestinal homeostasis
Bouskra, D., Brézillon, C., Bérard, M., Werts, C., Varona, R., Boneca, I. G., & Eberl, G. (2008) · Nature · doi:10.1038/nature07450 · Cited by 1,107
Cited by
Llewellyn, M. S., Boutin, S., Hoseinifar, S. H., & Derome, N. (2014) · Frontiers in Microbiology · doi:10.3389/fmicb.2014.00207 · Cited by 745
Self-citationLegrand, T. P. R. A., Wynne, J. W., Weyrich, L. S., & Oxley, A. P. A. (2020) · Reviews in Aquaculture · doi:10.1111/raq.12375 · Cited by 265
Metadata
- Authors
- Boutin, S., Sauvage, C., Bernatchez, L., Audet, C., & Derome, N.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-07-28
- Volume
- 9
- Issue
- 7
- Pages
- e102649
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2075694155
- Cited by
- 158
- References
- 4
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- gold
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: Inter Individual Variations of the Fish Skin Microbiota: Host Genetics Basis of Mutualism? https://app.cochat.ai/papers/10.1371/journal.pone.0102649
- The paper
- Boutin, S., Sauvage, C., Bernatchez, L., Audet, C., & Derome, N. (2014). Inter Individual Variations of the Fish Skin Microbiota: Host Genetics Basis of Mutualism? PLoS ONE. https://doi.org/10.1371/journal.pone.0102649
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.