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Comparative Genomic Insights Into the Taxonomic Classification, Diversity, and Secondary Metabolic Potentials of , a Genus Closely Related to

Overview
Journal Front Microbiol
Specialty Microbiology
Date 2021 Jul 1
PMID 34194415
Citations 10
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Abstract

While the genus (family ) has been studied as a model for bacterial secondary metabolism and genetics, its close relatives have been less studied. The genus is the second largest genus in the family . However, its taxonomic position within the family remains under debate and the secondary metabolic potential remains largely unclear. Here, we performed systematic comparative genomic and phylogenomic analyses of Firstly, the three genera within the family (, and ) showed common genomic features, including high G + C contents, high secondary metabolic potentials, and high recombination frequencies. Secondly, phylogenomic and comparative genomic analyses revealed phylogenetic distinctions and genome content differences among these three genera, supporting as a separate genus within the family. Lastly, the pan-genome analysis revealed extensive genetic diversity within the genus , while functional annotation and genome content comparison suggested genomic differentiation among lineages. This study provided new insights into genomic characteristics of the genus , and also uncovered its previously underestimated and complex secondary metabolism.

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References
1.
Galperin M, Wolf Y, Makarova K, Vera Alvarez R, Landsman D, Koonin E . COG database update: focus on microbial diversity, model organisms, and widespread pathogens. Nucleic Acids Res. 2020; 49(D1):D274-D281. PMC: 7778934. DOI: 10.1093/nar/gkaa1018. View

2.
Nouioui I, Klenk H, Igual J, Gulvik C, Lasker B, McQuiston J . Streptacidiphilus bronchialis sp. nov., a ciprofloxacin-resistant bacterium from a human clinical specimen; reclassification of Streptomyces griseoplanus as Streptacidiphilus griseoplanus comb. nov. and emended description of the genus.... Int J Syst Evol Microbiol. 2019; 69(4):1047-1056. DOI: 10.1099/ijsem.0.003267. View

3.
McDonald B, Currie C . Lateral Gene Transfer Dynamics in the Ancient Bacterial Genus . mBio. 2017; 8(3). PMC: 5472806. DOI: 10.1128/mBio.00644-17. View

4.
Wellington E, Stackebrandt E, Sanders D, Wolstrup J, Jorgensen N . Taxonomic status of Kitasatosporia, and proposed unification with Streptomyces on the basis of phenotypic and 16S rRNA analysis and emendation of Streptomyces Waksman and Henrici 1943, 339AL. Int J Syst Bacteriol. 1992; 42(1):156-60. DOI: 10.1099/00207713-42-1-156. View

5.
Nguyen L, Schmidt H, von Haeseler A, Minh B . IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2014; 32(1):268-74. PMC: 4271533. DOI: 10.1093/molbev/msu300. View