![]() Moreover, the morphological and physiological characteristics of these other species, including Streptomyces almquistii NRRL B-1685 T, Streptomyces flocculus NRRL B-2465 T, Streptomyces gibsonii NRRL B-1335 T and Streptomyces rangoonensis NRRL B-12378 T are quite similar. albus NRRL B-1811 T forms a cluster with five other species having identical or nearly identical 16S rRNA gene sequences. Shewanella evolutionary relationship identification multilocus sequence analysis population biology taxonomic classification.Ĭopyright © 2019 American Society for Microbiology.In phylogenetic analyses of the genus Streptomyces using 16S rRNA gene sequences, Streptomyces albus subsp. Further studies on remaining species and genomic analysis will enhance a more comprehensive understanding of the microbial systematics, phylogenetic relationships, and ecological status of the genus Shewanella. The robust phylogenetic network of MLSA provides profound insight into the evolutionary structure of the genus Shewanella The population genetics of Shewanella species determined by the MLSA approach plays a pivotal role in clinical diagnosis and routine monitoring. The standard MLSA method allows researchers to make rapid, economical, and precise identification of Shewanella strains. algae, and Shewanella pacifica should be reclassified as a synonym of Shewanella japonica IMPORTANCE The MLSA scheme based on six housekeeping genes (HKGs) ( gyrA, gyrB, infB, recN, rpoA, and topA) is well established as a reliable tool for taxonomic, evolutionary, and population diversity analyses of the genus Shewanella in this study. Based on the combined genetic, genomic, and phenotypic analyses, Shewanella upenei should be considered a synonym of S. The most prevalent Shewanella species was Shewanella algae, followed by Shewanella xiamenensis, Shewanella chilikensis, Shewanella indica, Shewanella seohaensis, and Shewanella carassii The strains frequently isolated from clinical and food samples highlighted the importance of increasing the surveillance of Shewanella species. A total of 86 tested strains were investigated to explore the population biology of the Shewanella genus in China. The split network tree proposed twelve distinct monophyletic clades with identical G+C contents and high genetic similarities. The MLSA approach provided a robust system to exhibit evolutionary relationships in the Shewanella genus. The reliability of the MLSA scheme was further validated by identical phylogenies and high correlations of genomes. The stability of phylogenetic topology was supported by high bootstrap values and concordance with different methods. This method yielded sufficient resolving power in regard to enough informative sites, adequate sequence divergences, and distinct interspecies branches. In this study, a standard multilocus sequence analysis (MLSA) based on six protein-coding genes ( gyrA, gyrB, infB, recN, rpoA, and topA) was established as a rapid and accurate identification tool in 59 Shewanella type strains. Several species are regarded as causative agents of food spoilage and opportunistic pathogens of human diseases. 8 State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China genus Shewanella comprises a group of marine-dwelling species with worldwide distribution.8 State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China PMC article.7 Office of Laboratory Management, Chinese Center for Disease Control and Prevention, Beijing, China.6 College of Marine Science, Shandong University at Weihai, Weihai, China.5 Laizhou Center for Disease Control and Prevention, Laizhou, Shandong Province, China.4 Ma'anshan Center for Disease Control and Prevention, Ma'anshan, Anhui Province, China.3 Center for Human Pathogenic Culture Collection, Chinese Center for Disease Control and Prevention, Beijing, China.2 Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, China. ![]() 1 State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. ![]()
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