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Comparative genomics and transcriptomics insight into myxobacterial metabolism potentials and multiple predatory strategies

Myxobacteria are part of the phylum Myxococcota, encompassing four orders. Most of them display complex lifestyles and broad predation profiles. However, metabolic potential and predation mechanisms of different myxobacteria remains poorly understood. Herein, we used comparative genomics and transcr...

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Autores principales: Wang, Chunling, Xiao, Yi, Wang, Yong, Liu, Yumin, Yao, Qing, Zhu, Honghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196010/
https://www.ncbi.nlm.nih.gov/pubmed/37213496
http://dx.doi.org/10.3389/fmicb.2023.1146523
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author Wang, Chunling
Xiao, Yi
Wang, Yong
Liu, Yumin
Yao, Qing
Zhu, Honghui
author_facet Wang, Chunling
Xiao, Yi
Wang, Yong
Liu, Yumin
Yao, Qing
Zhu, Honghui
author_sort Wang, Chunling
collection PubMed
description Myxobacteria are part of the phylum Myxococcota, encompassing four orders. Most of them display complex lifestyles and broad predation profiles. However, metabolic potential and predation mechanisms of different myxobacteria remains poorly understood. Herein, we used comparative genomics and transcriptomics to analyze metabolic potentials and differentially expressed gene (DEG) profiles of Myxococcus xanthus monoculture (Mx) compared to coculture with Escherichia coli (MxE) and Micrococcus luteus (MxM) prey. The results showed that myxobacteria had conspicuous metabolic deficiencies, various protein secretion systems (PSSs) and the common type II secretion system (T2SS). RNA-seq data demonstrated that M. xanthus overexpressed the potential predation DEGs, particularly those encoding T2SS, the tight adherence (Tad) pilus, different secondary metabolites (myxochelin A/B, myxoprincomide, myxovirescin A1, geosmin and myxalamide), glycosyl transferases and peptidase during predation. Furthermore, the myxalamide biosynthesis gene clusters, two hypothetical gene clusters and one arginine biosynthesis clusters were highly differential expressed in MxE versus MxM. Additionally, homologue proteins of the Tad (kil) system and five secondary metabolites were in different obligate or facultative predators. Finally, we provided a working model for exhibiting multiple predatory strategies when M. xanthus prey on M. luteus and E. coli. These results might spur application-oriented research on the development of novel antibacterial strategies.
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spelling pubmed-101960102023-05-20 Comparative genomics and transcriptomics insight into myxobacterial metabolism potentials and multiple predatory strategies Wang, Chunling Xiao, Yi Wang, Yong Liu, Yumin Yao, Qing Zhu, Honghui Front Microbiol Microbiology Myxobacteria are part of the phylum Myxococcota, encompassing four orders. Most of them display complex lifestyles and broad predation profiles. However, metabolic potential and predation mechanisms of different myxobacteria remains poorly understood. Herein, we used comparative genomics and transcriptomics to analyze metabolic potentials and differentially expressed gene (DEG) profiles of Myxococcus xanthus monoculture (Mx) compared to coculture with Escherichia coli (MxE) and Micrococcus luteus (MxM) prey. The results showed that myxobacteria had conspicuous metabolic deficiencies, various protein secretion systems (PSSs) and the common type II secretion system (T2SS). RNA-seq data demonstrated that M. xanthus overexpressed the potential predation DEGs, particularly those encoding T2SS, the tight adherence (Tad) pilus, different secondary metabolites (myxochelin A/B, myxoprincomide, myxovirescin A1, geosmin and myxalamide), glycosyl transferases and peptidase during predation. Furthermore, the myxalamide biosynthesis gene clusters, two hypothetical gene clusters and one arginine biosynthesis clusters were highly differential expressed in MxE versus MxM. Additionally, homologue proteins of the Tad (kil) system and five secondary metabolites were in different obligate or facultative predators. Finally, we provided a working model for exhibiting multiple predatory strategies when M. xanthus prey on M. luteus and E. coli. These results might spur application-oriented research on the development of novel antibacterial strategies. Frontiers Media S.A. 2023-05-05 /pmc/articles/PMC10196010/ /pubmed/37213496 http://dx.doi.org/10.3389/fmicb.2023.1146523 Text en Copyright © 2023 Wang, Xiao, Wang, Liu, Yao and Zhu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Wang, Chunling
Xiao, Yi
Wang, Yong
Liu, Yumin
Yao, Qing
Zhu, Honghui
Comparative genomics and transcriptomics insight into myxobacterial metabolism potentials and multiple predatory strategies
title Comparative genomics and transcriptomics insight into myxobacterial metabolism potentials and multiple predatory strategies
title_full Comparative genomics and transcriptomics insight into myxobacterial metabolism potentials and multiple predatory strategies
title_fullStr Comparative genomics and transcriptomics insight into myxobacterial metabolism potentials and multiple predatory strategies
title_full_unstemmed Comparative genomics and transcriptomics insight into myxobacterial metabolism potentials and multiple predatory strategies
title_short Comparative genomics and transcriptomics insight into myxobacterial metabolism potentials and multiple predatory strategies
title_sort comparative genomics and transcriptomics insight into myxobacterial metabolism potentials and multiple predatory strategies
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196010/
https://www.ncbi.nlm.nih.gov/pubmed/37213496
http://dx.doi.org/10.3389/fmicb.2023.1146523
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