The DOI matches its Crossref record; 189 of the 189 references it cites were found in a registry or an index.
Linking Genes to Microbial Biogeochemical Cycling: Lessons from Arsenic
Open accessAbstract
The biotransformation of arsenic is highly relevant to the arsenic biogeochemical cycle. Identification of the molecular details of microbial pathways of arsenic biotransformation coupled with analyses of microbial communities by meta-omics can provide insights into detailed aspects of the complexities of this biocycle. Arsenic transformations couple to other biogeochemical cycles, and to the fate of both nutrients and other toxic environmental contaminants. Microbial redox metabolism of iron, carbon, sulfur, and nitrogen affects the redox and bioavailability of arsenic species. In this critical review we illustrate the biogeochemical processes and genes involved in arsenic biotransformations. We discuss how current and future metagenomic-, metatranscriptomic-, metaproteomic-, and metabolomic-based methods will help to decipher individual microbial arsenic transformation processes, and their connections to other biogeochemical cycle. These insights will allow future use of microbial metabolic capabilities for new biotechnological solutions to environmental problems. To understand the complex nature of inorganic and organic arsenic species and the fate of environmental arsenic will require integrating systematic approaches with biogeochemical modeling. Finally, from the lessons learned from these studies of arsenic biogeochemistry, we will be able to predict how the environment changes arsenic, and, in response, how arsenic biotransformations change the environment.
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Cited by
Wang, H.-T., Ding, J., Xiong, C., Zhu, D., Li, G., Jia, X.-Y., Zhu, Y.-G., & Xue, X.-M. (2019) · Environmental Pollution · doi:10.1016/j.envpol.2019.04.054 · Cited by 266
Self-citationAlternative Strategies for Microbial Remediation of Pollutants via Synthetic Biology
Jaiswal, S., & Shukla, P. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00808 · Cited by 195
Glodowska, M., Stopelli, E., Schneider, M., Lightfoot, A., Rathi, B., Straub, D., Patzner, M., Duyen, V. T., AdvectAs Team Members, Berg, M., et al. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b07183 · Cited by 91
Self-citationHoffmann, T., Warmbold, B., Smits, S. H. J., Tschapek, B., Ronzheimer, S., Bashir, A., Chen, C., Rolbetzki, A., Pittelkow, M., Jebbar, M., et al. (2018) · Environmental Microbiology · doi:10.1111/1462-2920.13999 · Cited by 69
Metadata
- Authors
- Zhu, Y.-G., Xue, X.-M., Kappler, A., Rosen, B. P., & Meharg, A. A.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-06-23
- Volume
- 51
- Issue
- 13
- Pages
- 7326-7339
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2621437326
- Cited by
- 349
- References
- 189
- FWCI
- 14.81
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhu, Y.-G., Xue, X.-M., Kappler, A., Rosen, B. P., & Meharg, A. A. (2017). Linking Genes to Microbial Biogeochemical Cycling: Lessons from Arsenic. Environmental Science & Technology. https://doi.org/10.1021/acs.est.7b00689
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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.