The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Bacterial community dynamics are linked to patterns of coral heat tolerance
Open accessAbstract
Ocean warming threatens corals and the coral reef ecosystem. Nevertheless, corals can be adapted to their thermal environment and inherit heat tolerance across generations. In addition, the diverse microbes that associate with corals have the capacity for more rapid change, potentially aiding the adaptation of long-lived corals. Here, we show that the microbiome of reef corals is different across thermally variable habitats and changes over time when corals are reciprocally transplanted. Exposing these corals to thermal bleaching conditions changes the microbiome for heat-sensitive corals, but not for heat-tolerant corals growing in habitats with natural high heat extremes. Importantly, particular bacterial taxa predict the coral host response in a short-term heat stress experiment. Such associations could result from parallel responses of the coral and the microbial community to living at high natural temperatures. A competing hypothesis is that the microbial community and coral heat tolerance are causally linked.
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
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
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
Diversity and distribution of coral-associated bacteria
Rohwer, F., Seguritan, V, Azam, F., & Knowlton, N. (2002) · Marine Ecology Progress Series · doi:10.3354/meps243001 · Cited by 1,337
Mechanisms of reef coral resistance to future climate change
Palumbi, S. R., Barshis, D. J., Traylor-Knowles, N., & Bay, R. A. (2014) · Science · doi:10.1126/science.1251336 · Cited by 882
Self-citation
Cited by
Beneficial Microorganisms for Corals (BMC): Proposed Mechanisms for Coral Health and Resilience
Peixoto, R. S., Rosado, P. M., Leite, D. C. D. A., Rosado, A. S., & Bourne, D. G. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00341 · Cited by 594
Coral bacterial community structure responds to environmental change in a host-specific manner
Ziegler, M., Grupstra, C. G. B., Barreto, M. M., Eaton, M., BaOmar, J., Zubier, K., Al-Sofyani, A., Turki, A. J., Ormond, R., & Voolstra, C. R. (2019) · Nature Communications · doi:10.1038/s41467-019-10969-5 · Cited by 328
Self-citationVoolstra, C. R., & Ziegler, M. (2020) · BioEssays · doi:10.1002/bies.202000004 · Cited by 303
Self-citationManna, B., Jay, E., Zhang, W., Zhou, X., Lyu, B., Thomas, G. M., & Singhal, N. (2024) · Water · doi:10.3390/w16182655 · Cited by 11
Metadata
- Authors
- Ziegler, M., Seneca, F. O., Yum, L. K., Palumbi, S. R., & Voolstra, C. R.
- Venue
- Nature Communications
- Published
- 2017-02-10
- Volume
- 8
- Issue
- 1
- Pages
- 14213-14213
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2587285770
- Cited by
- 633
- References
- 5
- FWCI
- 41.68
- 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.