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Sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation
Dissimilatory ferrous iron [Fe(II)] oxidation is a well-established microbial energy generation strategy. This study aims to comprehensively investigate the distribution and evolution of recognized Fe(II) oxidation pathways through comparative analysis. Interestingly, we have discovered a wide range...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654088/ https://www.ncbi.nlm.nih.gov/pubmed/37768051 http://dx.doi.org/10.1128/msystems.00720-23 |
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author | Li, Liangzhi Liu, Zhenghua Meng, Delong Liu, Yongjun Liu, Tianbo Jiang, Chengying Yin, Huaqun |
author_facet | Li, Liangzhi Liu, Zhenghua Meng, Delong Liu, Yongjun Liu, Tianbo Jiang, Chengying Yin, Huaqun |
author_sort | Li, Liangzhi |
collection | PubMed |
description | Dissimilatory ferrous iron [Fe(II)] oxidation is a well-established microbial energy generation strategy. This study aims to comprehensively investigate the distribution and evolution of recognized Fe(II) oxidation pathways through comparative analysis. Interestingly, we have discovered a wide range of taxonomic groups that harbor homologs to known Fe(II) oxidation proteins. The presence of these homologs among phylogenetically distant lineages and their frequent association with mobile genetic elements strongly suggest horizontal gene transfer events involving Fe(II) oxidation proteins, such as the rus operon of Acidithiobacillus and Cyc572 from Leptospirillum lineages belonging to classes Gammaproteobacteria and Betaproteobacteria often present at the hub positions of the protein sequence similarity networks from which homologs of other taxa are derived. In addition, RoseTTAFold predictions have provided valuable insights into the structural characteristics of previously unknown Fe(II) oxidation components. Despite having limited sequence identity, a significant number of acknowledged proteins involved in different Fe(II) oxidation pathways exhibit close structural similarities, including Cyc2 and Cyc572. Collectively, this study significantly enhances our understanding of the distribution and evolution of microbial ferrous iron oxidation pathways. IMPORTANCE: Microbial Fe(II) oxidation is a crucial process that harnesses and converts the energy available in Fe, contributing significantly to global element cycling. However, there are still many aspects of this process that remain unexplored. In this study, we utilized a combination of comparative genomics, sequence similarity network analysis, and artificial intelligence-driven structure modeling methods to address the lack of structural information on Fe(II) oxidation proteins and offer a comprehensive perspective on the evolution of Fe(II) oxidation pathways. Our findings suggest that several microbial Fe(II) oxidation pathways currently known may have originated within classes Gammaproteobacteria and Betaproteobacteria. |
format | Online Article Text |
id | pubmed-10654088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-106540882023-09-28 Sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation Li, Liangzhi Liu, Zhenghua Meng, Delong Liu, Yongjun Liu, Tianbo Jiang, Chengying Yin, Huaqun mSystems Research Article Dissimilatory ferrous iron [Fe(II)] oxidation is a well-established microbial energy generation strategy. This study aims to comprehensively investigate the distribution and evolution of recognized Fe(II) oxidation pathways through comparative analysis. Interestingly, we have discovered a wide range of taxonomic groups that harbor homologs to known Fe(II) oxidation proteins. The presence of these homologs among phylogenetically distant lineages and their frequent association with mobile genetic elements strongly suggest horizontal gene transfer events involving Fe(II) oxidation proteins, such as the rus operon of Acidithiobacillus and Cyc572 from Leptospirillum lineages belonging to classes Gammaproteobacteria and Betaproteobacteria often present at the hub positions of the protein sequence similarity networks from which homologs of other taxa are derived. In addition, RoseTTAFold predictions have provided valuable insights into the structural characteristics of previously unknown Fe(II) oxidation components. Despite having limited sequence identity, a significant number of acknowledged proteins involved in different Fe(II) oxidation pathways exhibit close structural similarities, including Cyc2 and Cyc572. Collectively, this study significantly enhances our understanding of the distribution and evolution of microbial ferrous iron oxidation pathways. IMPORTANCE: Microbial Fe(II) oxidation is a crucial process that harnesses and converts the energy available in Fe, contributing significantly to global element cycling. However, there are still many aspects of this process that remain unexplored. In this study, we utilized a combination of comparative genomics, sequence similarity network analysis, and artificial intelligence-driven structure modeling methods to address the lack of structural information on Fe(II) oxidation proteins and offer a comprehensive perspective on the evolution of Fe(II) oxidation pathways. Our findings suggest that several microbial Fe(II) oxidation pathways currently known may have originated within classes Gammaproteobacteria and Betaproteobacteria. American Society for Microbiology 2023-09-28 /pmc/articles/PMC10654088/ /pubmed/37768051 http://dx.doi.org/10.1128/msystems.00720-23 Text en Copyright © 2023 Li et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Li, Liangzhi Liu, Zhenghua Meng, Delong Liu, Yongjun Liu, Tianbo Jiang, Chengying Yin, Huaqun Sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation |
title | Sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation |
title_full | Sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation |
title_fullStr | Sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation |
title_full_unstemmed | Sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation |
title_short | Sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation |
title_sort | sequence similarity network and protein structure prediction offer insights into the evolution of microbial pathways for ferrous iron oxidation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654088/ https://www.ncbi.nlm.nih.gov/pubmed/37768051 http://dx.doi.org/10.1128/msystems.00720-23 |
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