The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
pH drop impacts differentially skin and gut microbiota of the Amazonian fish tambaqui (Colossoma macropomum)
Open accessAbstract
Aquatic organisms are increasingly exposed to lowering of environmental pH due to anthropogenic pressure (e.g. acid rain, acid mine drainages). Such acute variations trigger imbalance of fish-associated microbiota, which in turn favour opportunistic diseases. We used the tambaqui (Colossoma macropomum), an Amazonian fish tolerant to significant pH variation in its natural environment, to assess the response of fish endogenous microbiota to acute short-term acid stress. We exposed 36 specimens of tambaquis to acidic water (pH 4.0) over 2 consecutive weeks and sampled cutaneous mucus, feces and water at 0, 7 & 14 days. The 16S RNA hypervariable region V4 was sequenced on Illumina MiSeq. After two weeks of acidic exposure, fecal and skin microbiota taxonomic structures exhibited different patterns: skin microbiota was still exhibiting a significantly disturbed composition whereas fecal microbiota recovered a similar composition to control group, thus suggesting a stronger resilience capacity of the intestinal microbiota than cutaneous microbiota.
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 new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828
Diversity, stability and resilience of the human gut microbiota
Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K., & Knight, R. (2012) · Nature · doi:10.1038/nature11550 · Cited by 5,533
Oxidative stress and some antioxidant systems in acid rain-treated bean plants
Velikova, V, Yordanov, I., & Edreva, A. (2000) · Plant Science · doi:10.1016/s0168-9452(99)00197-1 · Cited by 5,299
The gut microbiota shapes intestinal immune responses during health and disease
Round, J. L., & Mazmanian, S. K. (2009) · Nature Reviews Immunology · doi:10.1038/nri2515 · Cited by 5,029
Orr, J. C., Fabry, V. J., Aumont, O., Bopp, L., Doney, S. C., Feely, R. A., Gnanadesikan, A., Gruber, N., Ishida, A., Joos, F., et al. (2005) · Nature · doi:10.1038/nature04095 · Cited by 4,590
Lauber, C. L., Hamady, M., Knight, R., & Fierer, N. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.00335-09 · Cited by 4,063
Proteobacteria: Microbial signature of dysbiosis in gut microbiota
Shin, N.-R., Whon, T. W., & Bae, J.-W. (2015) · Trends in Biotechnology · doi:10.1016/j.tibtech.2015.06.011 · Cited by 3,954
Normal gut microbiota modulates brain development and behavior
Heijtz, R. D., Wang, S., Anuar, F., Qian, Y., Björkholm, B., Samuelsson, A., Hibberd, M. L., Forssberg, H., & Pettersson, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010529108 · Cited by 3,228
PANDAseq: paired-end assembler for Illumina sequences
Masella, A. P., Bartram, A. K., Truszkowski, J. M., Brown, D. G., & Neufeld, J. D. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-31 · Cited by 2,132
Human gut microbiota in obesity and after gastric bypass
Zhang, H., DiBaise, J. K., Zuccolo, A., Kudrna, D., Braidotti, M., Yu, Y., Parameswaran, P., Crowell, M. D., Wing, R., Rittmann, B. E., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812600106 · Cited by 1,880
Gut Microbiota Orchestrates Energy Homeostasis during Cold
Chevalier, C., Stojanović, O., Colin, D. J., Suarez-Zamorano, N., Tarallo, V., Veyrat-Durebex, C., Rigo, D., Fabbiano, S., Stevanović, A., Hagemann, S., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.004 · Cited by 829
“Blooming” in the gut: how dysbiosis might contribute to pathogen evolution.
Stecher, B., Maier, L., & Hardt, W.-D. (2013) · Nature Reviews Microbiology · doi:10.1038/nrmicro2989 · Cited by 378
Titov, N., Dear, B. F., Johnston, L., Lorian, C., Zou, J., Wootton, B., Spence, J., McEvoy, P. M., & Rapee, R. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062873 · Cited by 364
Cited by
Legrand, 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
Fish Gut Microbiome: Current Approaches and Future Perspectives
Talwar, C., Nagar, S., Lal, R., & Negi, R. K. (2018) · Indian Journal of Microbiology · doi:10.1007/s12088-018-0760-y · Cited by 257
Host Species and Environment Shape the Skin Microbiota of Mexican Axolotls
Soto-Cortés, E., Marroquín-Rodríguez, M., Basanta, M. D., Maldonado-López, Y., Parra-Olea, G., & Rebollar, E. A. (2024) · Microbial Ecology · doi:10.1007/s00248-024-02411-1 · Cited by 9
Metadata
- Authors
- Sylvain, F.-É., Cheaib, B., Llewellyn, M., Gabriel Correia, T., Barros Fagundes, D., Luis Val, A., & Derome, N.
- Venue
- Scientific Reports
- Published
- 2016-08-18
- Volume
- 6
- Issue
- 1
- Pages
- 32032-32032
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2517394686
- Cited by
- 180
- References
- 13
- FWCI
- 4.88
- 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
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.