The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Bacterial assembly and temporal dynamics in activated sludge of a full-scale municipal wastewater treatment plant
Open accessAbstract
Understanding environmental and biological influences on the dynamics of microbial communities has received great attention in microbial ecology. Here, utilizing large time-series 16S rRNA gene data, we show that in activated sludge of an environmentally important municipal wastewater treatment plant, 5-year temporal dynamics of bacterial community shows no significant seasonal succession, but is consistent with deterministic assemblage by taxonomic relatedness. Biological interactions are dominant drivers in determining the bacterial community assembly, whereas environmental conditions (mainly sludge retention time and inorganic nitrogen) partially explain phylogenetic and quantitative variances and indirectly influence bacterial assembly. We demonstrate a correlation-based statistical method to integrate bacterial association networks with their taxonomic affiliations to predict community-wide co-occurrence and co-exclusion patterns. The results show that although taxonomically closely related bacteria tend to positively co-occur (for example, out of a cooperative relationship), negative co-excluding correlations are deterministically observed between taxonomically less related species, probably implicating roles of competition in determining bacterial assembly. Overall, disclosures of the positive and negative species–species relations will improve our understanding of ecological niches occupied by unknown species and help to predict their biological functions in ecosystems.
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Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
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
Modularity and community structure in networks
Newman, M. E. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601602103 · Cited by 12,256
Using network analysis to explore co-occurrence patterns in soil microbial communities
Barberán, A., Bates, S. T., Casamayor, E. O., & Fierer, N. (2012) · The ISME Journal · doi:10.1038/ismej.2011.119 · Cited by 3,044
Cited by
Dai, T., Wen, D., Bates, C. T., Wu, L., Guo, X., Liu, S., Su, Y., Lei, J., Zhou, J., & Yang, Y. (2022) · Nature Communications · doi:10.1038/s41467-021-27857-6 · Cited by 470
Bacterial communities in full-scale wastewater treatment systems
Cydzik-Kwiatkowska, A., & Zielińska, M. (2016) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-016-2012-9 · Cited by 426
Hu, A., Ju, F., Hou, L., Li, J., Yang, X., Wang, H., Mulla, S. I., Sun, Q., Bürgmann, H., & Yu, C. (2017) · Environmental Microbiology · doi:10.1111/1462-2920.13942 · Cited by 309
Self-citationThijs, S., Sillen, W., Rineau, F., Weyens, N., & Vangronsveld, J. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00341 · Cited by 265
Bacteriophages in Natural and Artificial Environments
Batinovic, S., Wassef, F., Knowler, S. A., Rice, D. T. F., Stanton, C. R., Rose, J., Tucci, J., Nittami, T., Vinh, A., Drummond, G. R., et al. (2019) · Pathogens · doi:10.3390/pathogens8030100 · Cited by 253
Metadata
- Authors
- Ju, F., & Zhang, T.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-09-02
- Volume
- 9
- Issue
- 3
- Pages
- 683-695
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W2000599849
- Cited by
- 495
- References
- 4
- FWCI
- 13.12
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.