eprintid: 10141902 rev_number: 12 eprint_status: archive userid: 608 dir: disk0/10/14/19/02 datestamp: 2022-01-14 10:27:48 lastmod: 2022-01-14 10:27:48 status_changed: 2022-01-14 10:27:48 type: article metadata_visibility: show creators_name: Keren, R creators_name: Méheust, R creators_name: Santini, JM creators_name: Thomas, A creators_name: West-Roberts, J creators_name: Banfield, JF creators_name: Alvarez-Cohen, L title: Global genomic analysis of microbial biotransformation of arsenic highlights the importance of arsenic methylation in environmental and human microbiomes ispublished: inpress divisions: UCL divisions: B02 divisions: C08 divisions: D09 divisions: G03 note: This work is licensed under an Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) abstract: Arsenic is a ubiquitous toxic element, the global cycle of which is highly affected by microbial redox reactions and assimilation into organoarsenic compounds through sequential methylation reactions. While microbial biotransformation of arsenic has been studied for decades, the past years have seen the discovery of multiple new genes related to arsenic metabolism. Still, most studies focus on a small set of key genes or a small set of cultured microorganisms. Here, we leveraged the recently greatly expanded availability of microbial genomes of diverse organisms from lineages lacking cultivated representatives, including those reconstructed from metagenomes, to investigate genetic repertoires of taxonomic and environmental controls on arsenic metabolic capacities. Based on the collection of arsenic-related genes, we identified thirteen distinct metabolic guilds, four of which combine the aio and ars operons. We found that the best studied phyla have very different combinations of capacities than less well-studied phyla, including phyla lacking isolated representatives. We identified a distinct arsenic gene signature in the microbiomes of humans exposed or likely exposed to drinking water contaminated by arsenic and that arsenic methylation is important in soil and in human microbiomes. Thus, the microbiomes of humans exposed to arsenic have the potential to exacerbate arsenic toxicity. Finally, we show that machine learning can predict bacterial arsenic metabolism capacities based on their taxonomy and the environment from which they were sampled. date: 2022-01-06 date_type: published publisher: Elsevier BV official_url: https://doi.org/10.1016/j.csbj.2021.12.040 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1914421 doi: 10.1016/j.csbj.2021.12.040 lyricists_name: Santini, Giovanna lyricists_id: JMSAN31 actors_name: Santini, Giovanna actors_id: JMSAN31 actors_role: owner full_text_status: public publication: Computational and Structural Biotechnology Journal citation: Keren, R; Méheust, R; Santini, JM; Thomas, A; West-Roberts, J; Banfield, JF; Alvarez-Cohen, L; (2022) Global genomic analysis of microbial biotransformation of arsenic highlights the importance of arsenic methylation in environmental and human microbiomes. Computational and Structural Biotechnology Journal 10.1016/j.csbj.2021.12.040 <https://doi.org/10.1016/j.csbj.2021.12.040>. (In press). Green open access document_url: https://discovery-pp.ucl.ac.uk/id/eprint/10141902/1/1-s2.0-S200103702200006X-main.pdf