Literature DB >> 34966962

Williamsia soli sp. nov., an actinobacterium isolated from soil at a thermal power plant in Yantai, China.

Ming-Jing Zhang1, Xue-Han Li1, Li-Yang Peng1, Shuai-Ting Yun1, Zhuo-Cheng Liu1, Yan-Xia Zhou2.   

Abstract

Strain C17T, a novel strain belonging to the phylum Actinobacteria, was isolated from a thermal power plant in Yantai, Shandong Province, China. Cells of strain C17T were Gram stain positive, aerobic, pink, non-motile and round with neat edges, showing optimum growth at 28 °C. Phylogenetically, strain C17T was a member of the class Actinobacteria, order Mycobacteriales, family Gordoniaceae. Phylogenetic analysis based on 16S rRNA gene sequence comparisons revealed that the related strains were Williamsia faeni JCM 17784 T and Williamsia limnetica KCTC 19981 T with pairwise sequence similarity of 98.5% for both strains. According to the draft genome sequence, the DNA G + C content was 64.7%. The average amino acid identity (AAI), average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values between genome sequences of strain C17T and the closest type strain W. faeni JCM 17784 T were 77.5, 77.9, and 20.7%, respectively. Predominant fatty acids were C16:0 (31.7%) and C18:1ω9c (26.8%). The major menaquinone was MK-9. The diagnostic phospholipids were phosphatidylethanolamine (PE), diphosphatidylglycerol (DPG), and phosphatidylinositol (PI). Therefore, the combined phenotypic, chemotaxonomic and phylogenetic data indicated that strain C17T was considered to represent a novel species of the genus Williamsia. Williamsia soli sp. nov. was proposed for strain C17T (= KCTC 49567 T = MCCC 1K04355T).
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Actinobacteria; Aerobic; Genomic analysis; Thermal power plant; Williamsia soli sp. Nov.

Mesh:

Substances:

Year:  2021        PMID: 34966962     DOI: 10.1007/s00203-021-02714-8

Source DB:  PubMed          Journal:  Arch Microbiol        ISSN: 0302-8933            Impact factor:   2.552


  32 in total

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Authors:  Cláudia Beatriz Afonso de Menezes; Rafael Sanches Afonso; Wallace Rafael de Souza; Márcia Maria Parma; Itamar Soares de Melo; Fernando Lucas Satoru Fugita; Luiz Alberto Beraldo Moraes; Tiago Domingues Zucchi; Fabiana Fantinatti-Garboggini
Journal:  Arch Microbiol       Date:  2019-02-25       Impact factor: 2.552

2.  Evolutionary trees from DNA sequences: a maximum likelihood approach.

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Authors:  Cláudia Beatriz Afonso de Menezes; Rafael Sanches Afonso; Wallace Rafael de Souza; Márcia Parma; Itamar Soares de Melo; Tiago Domingues Zucchi; Fabiana Fantinatti-Garboggini
Journal:  Int J Syst Evol Microbiol       Date:  2017-05-30       Impact factor: 2.747

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Authors:  P Kämpfer; S Wellner; K Lohse; N Lodders; K Martin
Journal:  Int J Syst Evol Microbiol       Date:  2010-12-17       Impact factor: 2.747

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Authors:  Amanda L Jones; Gail D Payne; Michael Goodfellow
Journal:  Int J Syst Evol Microbiol       Date:  2009-12-11       Impact factor: 2.747

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Authors:  Xiao-Mei Fang; Jing Su; Hao Wang; Yu-Zhen Wei; Tao Zhang; Li-Li Zhao; Hong-Yu Liu; Bai-Ping Ma; Hans-Peter Klenk; Yu-Qin Zhang; Li-Yan Yu
Journal:  Int J Syst Evol Microbiol       Date:  2013-06-14       Impact factor: 2.747

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Authors:  Peter Kämpfer; Hans-Jürgen Busse; Hannes Horn; Usama Ramadan Abdelmohsen; Ute Hentschel; Stefanie P Glaeser
Journal:  Int J Syst Evol Microbiol       Date:  2016-08-08       Impact factor: 2.747

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Authors:  Lihong Chen; Jian Yang; Jun Yu; Zhijian Yao; Lilian Sun; Yan Shen; Qi Jin
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

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Journal:  Nucleic Acids Res       Date:  2015-10-17       Impact factor: 16.971

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Journal:  Nucleic Acids Res       Date:  2019-07-02       Impact factor: 16.971

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