Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Liangzhi, Liu, Zhenghua, Meng, Delong, Liu, Yongjun, Liu, Tianbo, Jiang, Chengying, Yin, Huaqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
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
_version_ 1785136555323555840
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
work_keys_str_mv AT liliangzhi sequencesimilaritynetworkandproteinstructurepredictionofferinsightsintotheevolutionofmicrobialpathwaysforferrousironoxidation
AT liuzhenghua sequencesimilaritynetworkandproteinstructurepredictionofferinsightsintotheevolutionofmicrobialpathwaysforferrousironoxidation
AT mengdelong sequencesimilaritynetworkandproteinstructurepredictionofferinsightsintotheevolutionofmicrobialpathwaysforferrousironoxidation
AT liuyongjun sequencesimilaritynetworkandproteinstructurepredictionofferinsightsintotheevolutionofmicrobialpathwaysforferrousironoxidation
AT liutianbo sequencesimilaritynetworkandproteinstructurepredictionofferinsightsintotheevolutionofmicrobialpathwaysforferrousironoxidation
AT jiangchengying sequencesimilaritynetworkandproteinstructurepredictionofferinsightsintotheevolutionofmicrobialpathwaysforferrousironoxidation
AT yinhuaqun sequencesimilaritynetworkandproteinstructurepredictionofferinsightsintotheevolutionofmicrobialpathwaysforferrousironoxidation