Myxobacterial genomics and post-genomics: A review of genome biology, genome sequences and related ‘omics studies

David E. Whitworth*, Natashia Sydney, Emily J. Radford

*Corresponding author for this work

Research output: Contribution to journalReview Articlepeer-review

14 Citations (Scopus)

Abstract

Myxobacteria are fascinating and complex microbes. They prey upon other members of the soil microbiome by secreting antimicrobial proteins and metabolites, and will undergo multicellular development if starved. The genome sequence of the model myxobacterium Myxococcus xanthus DK1622 was published in 2006 and 15 years later, 163 myxobacterial genome sequences have now been made public. This explosion in genomic data has enabled comparative genomics analyses to be performed across the taxon, providing important insights into myxobacterial gene conservation and evolution. The availability of myxobacterial genome sequences has allowed system-wide functional genomic investigations into entire classes of genes. It has also enabled post-genomic technologies to be applied to myxobacteria, including transcriptome analyses (microarrays and RNA-seq), proteome studies (gel-based and gel-free), investigations into protein–DNA interactions (ChIP-seq) and metabolism. Here, we review myxobacterial genome sequencing, and summarise the insights into myxobacterial biology that have emerged as a result. We also outline the application of functional genomics and post-genomic approaches in myxobacterial research, highlighting important findings to emerge from seminal studies. The review also provides a comprehensive guide to the genomic datasets available in mid-2021 for myxobacteria (including 24 genomes that we have sequenced and which are described here for the first time).

Original languageEnglish
Article number2143
JournalMicroorganisms
Volume9
Issue number10
DOIs
Publication statusPublished - 13 Oct 2021

Keywords

  • Comparative genomics
  • Functional genomics
  • Genome evolution
  • Genome organisation
  • Pan-genome
  • Proteomics
  • Taxonomy
  • Transcriptomics

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