The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Modular Assembly of Polysaccharide-Degrading Marine Microbial Communities
Open accessAbstract
Understanding the principles that govern the assembly of microbial communities across earth's biomes is a major challenge in modern microbial ecology. This pursuit is complicated by the difficulties of mapping functional roles and interactions onto communities with immense taxonomic diversity and of identifying the scale at which microbes interact [1]. To address this challenge, here, we focused on the bacterial communities that colonize and degrade particulate organic matter in the ocean [2-4]. We show that the assembly of these communities can be simplified as a linear combination of functional modules. Using synthetic polysaccharide particles immersed in natural bacterioplankton assemblages [1, 5], we showed that successional particle colonization dynamics are driven by the interaction of two types of modules: a first type made of narrowly specialized primary degraders, whose dynamics are controlled by particle polysaccharide composition, and a second type containing substrate-independent taxa whose dynamics are controlled by interspecific interactions-in particular, cross-feeding via organic acids, amino acids, and other metabolic byproducts. We show that, as a consequence of this trophic structure, communities can assemble modularly-i.e., by a simple sum of substrate-specific primary degrader modules, one for each complex polysaccharide in the particle, connected to a single broad-niche range consumer module. Consistent with this model, a linear combination of the communities on single-polysaccharide particles accurately predicts community composition on mixed-polysaccharide particles. Our results suggest that the assembly of heterotrophic communities that degrade complex organic materials follows simple design principles that could be exploited to engineer heterotrophic microbiomes.
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
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
DADA2: High–resolution sample inference from Illumina amplicon data
Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., & Holmes, S. P. (2016) · Nature Methods · doi:10.1038/nmeth.3869 · Cited by 35,698
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
Parks, D. H., Imelfort, M., Skennerton, C. T., Hugenholtz, P., & Tyson, G. W. (2015) · Genome Research · doi:10.1101/gr.186072.114 · Cited by 12,496
Inexpensive Multiplexed Library Preparation for Megabase-Sized Genomes
Baym, M., Kryazhimskiy, S., Lieberman, T. D., Chung, H., Desai, M. M., & Kishony, R. (2015) · PLOS ONE · doi:10.1371/journal.pone.0128036 · Cited by 685
Polysaccharides of the red algae
Usov, A. I. (2011) · Advances in carbohydrate chemistry and biochemistry · doi:10.1016/b978-0-12-385520-6.00004-2 · Cited by 369
Cited by
Marine Plastic Debris: A New Surface for Microbial Colonization
Wright, R. J., Erni-Cassola, G., Zadjelovic, V., Latva, M., & Christie-Oleza, J. A. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c02305 · Cited by 513
Understanding microbial community dynamics to improve optimal microbiome selection
Wright, R. J., Gibson, M. I., & Christie-Oleza, J. A. (2019) · Microbiome · doi:10.1186/s40168-019-0702-x · Cited by 341
Bacterial Candidates for Colonization and Degradation of Marine Plastic Debris
Roager, L., & Sonnenschein, E. C. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.9b02212 · Cited by 305
Defining Division of Labor in Microbial Communities
Giri, S., Waschina, S., Kaleta, C., & Kost, C. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.06.023 · Cited by 89
Jin, X., Yang, Y., Cao, H., Gao, B., & Zhao, Z. (2022) · Environmental Microbiology Reports · doi:10.1111/1758-2229.13036 · Cited by 6
Metadata
- Authors
- Enke, T. N., Datta, M. S., Schwartzman, J., Cermak, N., Schmitz, D., Barrere, J., Pascual-García, A., & Cordero, O. X.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 29
- Issue
- 9
- Pages
- 1528-1535.e6
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W2942256881
- Cited by
- 198
- References
- 6
- FWCI
- 14.90
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Modular Assembly of Polysaccharide-Degrading Marine Microbial Communities. https://app.cochat.ai/papers/10.1016/j.cub.2019.03.047
- The paper
- Enke, T. N., Datta, M. S., Schwartzman, J., Cermak, N., Schmitz, D., Barrere, J., Pascual-García, A., & Cordero, O. X. (2019). Modular Assembly of Polysaccharide-Degrading Marine Microbial Communities. Current Biology. https://doi.org/10.1016/j.cub.2019.03.047
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.