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Genome diversification in globally distributed novel marine Proteobacteria is linked to environmental adaptation
Open accessAbstract
Proteobacteria constitute one of the most diverse and abundant groups of microbes on Earth. In productive marine environments like deep-sea hydrothermal systems, Proteobacteria are implicated in autotrophy coupled to sulfur, methane, and hydrogen oxidation, sulfate reduction, and denitrification. Beyond chemoautotrophy, little is known about the ecological significance of poorly studied Proteobacteria lineages that are globally distributed and active in hydrothermal systems. Here we apply multi-omics to characterize 51 metagenome-assembled genomes from three hydrothermal vent plumes in the Pacific and Atlantic Oceans that are affiliated with nine Proteobacteria lineages. Metabolic analyses revealed these organisms to contain a diverse functional repertoire including chemolithotrophic ability to utilize sulfur and C1 compounds, and chemoorganotrophic ability to utilize environment-derived fatty acids, aromatics, carbohydrates, and peptides. Comparative genomics with marine and terrestrial microbiomes suggests that lineage-associated functional traits could explain niche specificity. Our results shed light on the ecological functions and metabolic strategies of novel Proteobacteria in hydrothermal systems and beyond, and highlight the relationship between genome diversification and environmental adaptation.
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Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies
Nguyen, L.-T., Schmidt, H. A., von Haeseler, A., & Minh, B. Q. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msu300 · Cited by 26,046
Fast and sensitive protein alignment using DIAMOND
Buchfink, B., Xie, C., & Huson, D. H. (2015) · Nature Methods · doi:10.1038/nmeth.3176 · Cited by 14,201
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
Li, D., Liu, C.-M., Luo, R., Sadakane, K., & Lam, T.-W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv033 · Cited by 9,893
Accelerated Profile HMM Searches
Eddy, S. R. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002195 · Cited by 6,975
The carbohydrate-active enzymes database (CAZy) in 2013
Lombard, V., Golaconda Ramulu, H., Drula, E., Coutinho, P. M., & Henrissat, B. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1178 · Cited by 6,333
Brock Biology of Microorganisms
Madigan, M. T., Bender, K. S., Buckley, D. H., Sattley, W. M., & Stahl, D. A. (1996) · Cited by 5,759
metaSPAdes: a new versatile metagenomic assembler
Nurk, S., Meleshko, D., Korobeynikov, A., & Pevzner, P. A. (2017) · Genome Research · doi:10.1101/gr.213959.116 · Cited by 4,496
KAAS: an automatic genome annotation and pathway reconstruction server
Moriya, Y., Itoh, M., Okuda, S., Yoshizawa, A. C., & Kanehisa, M. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm321 · Cited by 4,153
Cited by
Kieft, K., Zhou, Z., & Anantharaman, K. (2020) · Microbiome · doi:10.1186/s40168-020-00867-0 · Cited by 1,123
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Metadata
- Authors
- Zhou, Z., Tran, P. Q., Kieft, K., & Anantharaman, K.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-05-11
- Volume
- 14
- Issue
- 8
- Pages
- 2060-2077
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W3020822222
- Cited by
- 282
- References
- 100
- FWCI
- 13.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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