Literature DB >> 28984223

Sphingobacterium tabacisoli sp. nov., isolated from a tobacco field soil sample.

Xing-Kui Zhou1, Qing-Qing Li2,3, Ming-He Mo1, Yong-Guang Zhang4, Li-Min Dong5, Min Xiao6, Wen-Jun Li6,1, Yan-Qing Duan5.   

Abstract

A Gram-staining-negative, non-motile and rod-shaped bacterium, designated strain h337T, was isolated from an arable soil sample of a tobacco field in Kunming, south-west China. The cells showed oxidase-positive and catalase-positive reactions. Growth was observed at 10-35 °C, at pH 6.0-9.0 and in the presence of up to 3 % (w/v) NaCl, with optimal growth at 30 °C, pH 7.0 and with 1-2 % (w/v) NaCl. The predominant isoprenoid quinone was MK-7. The major fatty acids were identified as iso-C15 : 0, iso-C17 : 0 3-OH, summed feature 3 (C16 : 1ω7c and/or C16 : 1ω6c) and summed feature 4 (iso-C17 : 1 I and/or anteiso-C17 : 1 B). The cellular polar lipids contained phosphatidylethanolamine, sphingophospholipid, four unidentified phospholipids, five unidentified lipids and three unidentified aminophospholipids. The genomic DNA G+C content was 41.5 mol%. Phylogenetic analysis based on 16S rRNA gene sequences showed that strain h337T should be assigned to the genus Sphingobacterium. 16S rRNA gene sequence similarity analysis showed that strain h337T was most closely related to 'Sphingobacteriumyamdrokense' 3-0-1 (98.8 %) and Sphingobacteriumyanglingense CCNWSP36-1T (98.5 %) and shared less than 97 % similarity with other species of the genus Sphingobacterium. DNA-DNA hybridization data indicated that the isolate represented a novel genomic species belonging to the genus Sphingobacterium. The characteristics determined in this polyphasic taxonomic study indicated that strain h337T represents a novel species of the genus Sphingobacterium, for which the name Sphingobacterium tabacisoli sp. nov. (type strain h337T=KCTC 52298T=CCTCC AB 2017155T) is proposed.

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Keywords:  Sphingobacterium tabacisoli sp. nov.; arable soil; polyphasic taxonomy; tobacco

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Year:  2017        PMID: 28984223     DOI: 10.1099/ijsem.0.002381

Source DB:  PubMed          Journal:  Int J Syst Evol Microbiol        ISSN: 1466-5026            Impact factor:   2.747


  1 in total

1.  Earth microbial co-occurrence network reveals interconnection pattern across microbiomes.

Authors:  Bin Ma; Yiling Wang; Shudi Ye; Shan Liu; Erinne Stirling; Jack A Gilbert; Karoline Faust; Rob Knight; Janet K Jansson; Cesar Cardona; Lisa Röttjers; Jianming Xu
Journal:  Microbiome       Date:  2020-06-04       Impact factor: 14.650

  1 in total

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