Literature DB >> 20461465

Multilocus sequence analysis of Streptomyces griseus isolates delineating intraspecific diversity in terms of both taxonomy and biosynthetic potential.

Xiaoying Rong1, Ning Liu, Jisheng Ruan, Ying Huang.   

Abstract

Systematics can provide a fundamental framework for understanding the relationships and diversification of organisms. Multilocus sequence analysis (MLSA) has shown great promise for an elaborate taxonomic grouping of streptomycete diversity. To evaluate the practical significance of MLSA as a valuable systematic tool for streptomycetes, we examined six endophytic Streptomyces griseus isolates and two S. griseus reference strains possessing obvious antagonistic activities and identical 16S rRNA gene sequences, using both housekeeping genes and secondary metabolic genes. All the eight strains contained PKS-I and NRPS genes, but not PKS-II genes, and showed similar diversity in both the MLSA phylogeny based on five housekeeping genes (atpD, gyrB, recA, rpoB and trpB) and fingerprinting of KS-AT genes. We also inferred a phylogeny based on concatenated amino acid sequences of representative KS-AT genes from the strains, which displayed a topology correlated well with those of housekeeping-gene MLSA and KS-AT fingerprinting. The good congruence observed between phylogenies based on the different datasets verified that the MLSA scheme provided robust resolution at intraspecific level and could predict the overall diversity of secondary metabolic potential within a Streptomyces species, despite somewhat of a discrepancy with antimicrobial data. It is therefore feasible to apply MLSA to dissecting natural diversity of streptomycetes for a better understanding of their evolution and ecology, as well as for facilitating their bioprospecting.

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Year:  2010        PMID: 20461465     DOI: 10.1007/s10482-010-9447-z

Source DB:  PubMed          Journal:  Antonie Van Leeuwenhoek        ISSN: 0003-6072            Impact factor:   2.271


  7 in total

1.  Streptomyces brasiliscabiei, a new species causing potato scab in south Brazil.

Authors:  Daniele Bussioli Alves Corrêa; Danilo Trabuco do Amaral; Márcio José da Silva; Suzete Aparecida Lanza Destéfano
Journal:  Antonie Van Leeuwenhoek       Date:  2021-04-21       Impact factor: 2.271

2.  New Insights Into the Threshold Values of Multi-Locus Sequence Analysis, Average Nucleotide Identity and Digital DNA-DNA Hybridization in Delineating Streptomyces Species.

Authors:  Siren Hu; Kaiqin Li; Yifei Zhang; Yinfeng Wang; Li Fu; Yan Xiao; Xinke Tang; Jian Gao
Journal:  Front Microbiol       Date:  2022-05-31       Impact factor: 6.064

3.  Intraspecies comparison of Streptomyces pratensis genomes reveals high levels of recombination and gene conservation between strains of disparate geographic origin.

Authors:  James R Doroghazi; Daniel H Buckley
Journal:  BMC Genomics       Date:  2014-11-15       Impact factor: 3.969

4.  A multilocus sequence analysis scheme for characterization of Flavobacterium columnare isolates.

Authors:  Roghaieh Ashrafi; Katja Pulkkinen; Lotta-Riina Sundberg; Nina Pekkala; Tarmo Ketola
Journal:  BMC Microbiol       Date:  2015-10-30       Impact factor: 3.605

5.  Different Secondary Metabolite Profiles of Phylogenetically almost Identical Streptomyces griseus Strains Originating from Geographically Remote Locations.

Authors:  Ignacio Sottorff; Jutta Wiese; Matthias Lipfert; Nils Preußke; Frank D Sönnichsen; Johannes F Imhoff
Journal:  Microorganisms       Date:  2019-06-06

6.  Production of Plant-Associated Volatiles by Select Model and Industrially Important Streptomyces spp.

Authors:  Zhenlong Cheng; Sean McCann; Nicoletta Faraone; Jody-Ann Clarke; E Abbie Hudson; Kevin Cloonan; N Kirk Hillier; Kapil Tahlan
Journal:  Microorganisms       Date:  2020-11-11

7.  Multiple Streptomyces species with distinct secondary metabolomes have identical 16S rRNA gene sequences.

Authors:  Sanjay Antony-Babu; Didier Stien; Véronique Eparvier; Delphine Parrot; Sophie Tomasi; Marcelino T Suzuki
Journal:  Sci Rep       Date:  2017-09-11       Impact factor: 4.379

  7 in total

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