The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Biogeography and ecological diversity patterns of rare and abundant bacteria in oil‐contaminated soils
Abstract
Revealing the biogeographies and ecologies of rare and abundant microorganisms is crucial to understand ecosystem diversity and function. In this study, we investigated the biogeographic assemblies and ecological diversity patterns of rare and abundant bacteria in long‐term oil‐contaminated soils at intervals of 46–360 km by performing high‐throughput sequencing of 16S r RNA genes. The results clearly revealed distinct distribution patterns for rare and abundant bacteria in soil samples. Rare taxa were unevenly distributed; however, abundant taxa were ubiquitous across all samples. Both rare and abundant subcommunities showed significant distance–decay relationships, and their assemblies were driven by different factors. The rare subcommunity primarily exhibited a spatially structured distribution (i.e., stochastic processes), while edaphic factors (i.e., deterministic processes) largely contributed to the structure of the abundant subcommunity. A network analysis revealed closer relationships between abundant bacteria and their heightened influence on other co‐occurrences in the community compared with rare species. In conclusion, rare microbial taxa may play potential roles in maintaining ecosystem diversity, although they do not appear to be central to microbial networks. Abundant microbes are vital for microbial co‐occurrences in oil‐contaminated soils, and high relative abundance and ubiquitous distribution suggest potential roles in the degradation of organic pollutants.
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Cites
The Structure and Function of Complex Networks
Newman, M. E. J. (2003) · SIAM Review · doi:10.1137/s003614450342480 · Cited by 18,719
UCHIME improves sensitivity and speed of chimera detection
Edgar, R. C., Haas, B. J., Clemente, J. C., Quince, C., & Knight, R. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr381 · Cited by 15,114
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
Gephi: An Open Source Software for Exploring and Manipulating Networks
Bastian, M., Heymann, S., & Jacomy, M. (2009) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v3i1.13937 · Cited by 11,675
Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Lozupone, C. A., Turnbaugh, P. J., Fierer, N., & Knight, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000080107 · Cited by 9,711
A Direct Approach to False Discovery Rates
Storey, J. D. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00346 · Cited by 5,603
Ecological Linkages Between Aboveground and Belowground Biota
Wardle, D. A., Bardgett, R. D., Klironomos, J. N., Setälä, H., van der Putten, W. H., & Wall, D. H. (2004) · Science · doi:10.1126/science.1094875 · Cited by 4,617
Microbial interactions: from networks to models
Faust, K., & Raes, J. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2832 · Cited by 4,141
Microbial diversity in the deep sea and the underexplored “rare biosphere”
Sogin, M. L., Morrison, H. G., Huber, J. A., Welch, D. M., Huse, S. M., Neal, P. R., Arrieta, J. M., & Herndl, G. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605127103 · Cited by 3,701
The Microbial Engines That Drive Earth's Biogeochemical Cycles
Falkowski, P. G., Fenchel, T., & Delong, E. F. (2008) · Science · doi:10.1126/science.1153213 · Cited by 3,379
Cited by
Jiao, S., Yang, Y., Xu, Y., Zhang, J., & Lu, Y. (2020) · The ISME Journal · doi:10.1038/s41396-019-0522-9 · Cited by 1,052
Self-citationJiao, S., Chen, W., Wang, J., Du, N., Li, Q., & Wei, G. (2018) · Microbiome · doi:10.1186/s40168-018-0526-0 · Cited by 759
Self-citationLiang, Y., Xiao, X., Nuccio, E. E., Yuan, M., Zhang, N., Xue, K., Cohan, F. M., Zhou, J., & Sun, B. (2020) · Environmental Microbiology · doi:10.1111/1462-2920.14945 · Cited by 316
Shi, Y., Delgado-Baquerizo, M., Li, Y., Yang, Y., Zhu, Y.-G., Peñuelas, J., & Chu, H. (2020) · Environment International · doi:10.1016/j.envint.2020.105869 · Cited by 308
Yang, X., Yuan, J., Li, N., Franks, A. E., Shentu, J., Luo, Y., Xu, J., & He, Y. (2021) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2021.108210 · Cited by 64
Metadata
- Authors
- Jiao, S., Chen, W., & Wei, G.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2017-09-05
- Volume
- 26
- Issue
- 19
- Pages
- 5305-5317
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2730878814
- Cited by
- 351
- References
- 73
- FWCI
- 9.22
- Type
- journal article
- Language
- en
- Open access
- closed
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