Literature DB >> 22703716

Nakamurella panacisegetis sp. nov. and proposal for reclassification of Humicoccus flavidus Yoon et al., 2007 and Saxeibacter lacteus Lee et al., 2008 as Nakamurella flavida comb. nov. and Nakamurella lactea comb. nov.

Kwang Kyu Kim1, Keun Chul Lee, Jung-Sook Lee.   

Abstract

A novel actinobacterial strain, designated P4-7(T), was isolated from soil of a ginseng field located in Geumsan County, Korea. Cells of the strain were aerobic, Gram-stain-positive, non-motile, short rods. The isolate contained MK-8(H(4)) as the predominant menaquinone, iso-C(16:0), anteiso-C(15:0) and anteiso-C(17:0) as the major fatty acids, diphosphatidylglycerol, phosphatidylethanolamine and phosphatidylinositol as the major polar lipids, glucose, mannose, xylose, ribose and rhamnose as whole-cell sugars, and meso-diaminopimelic acid as the diagnostic diamino acid in the cell-wall peptidoglycan. Phylogenetic analysis based on 16S rRNA gene sequences showed that strain P4-7(T) belongs to the family Nakamurellaceae and is most closely related to Nakamurella multipartita, Humicoccus flavidus and Saxeibacter lacteus (96.3, 97.0 and 96.4% similarity to the respective type strains). Based on comparative analyses of the 16S rRNA and rpoB gene sequences and chemotaxonomic data, it is proposed that H. flavidus and S. lacteus be transferred to the genus Nakamurella. Combined genotypic and phenotypic data also suggested that strain P4-7(T) be placed in a novel species of the genus Nakamurella, for which the name Nakamurella panacisegetis sp. nov. is proposed; the type strain is P4-7(T) (=KCTC 19426(T)=CECT 7604(T)).
Copyright © 2012 Elsevier GmbH. All rights reserved.

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Year:  2012        PMID: 22703716     DOI: 10.1016/j.syapm.2012.05.002

Source DB:  PubMed          Journal:  Syst Appl Microbiol        ISSN: 0723-2020            Impact factor:   4.022


  2 in total

1.  High quality draft genome of Nakamurella lactea type strain, a rock actinobacterium, and emended description of Nakamurella lactea.

Authors:  Imen Nouioui; Markus Göker; Lorena Carro; Maria Del Carmen Montero-Calasanz; Manfred Rohde; Tanja Woyke; Nikos C Kyrpides; Hans-Peter Klenk
Journal:  Stand Genomic Sci       Date:  2017-01-06

2.  Machine Learning Approach Reveals the Assembly of Activated Sludge Microbiome with Different Carbon Sources during Microcosm Startup.

Authors:  Youngjun Kim; Sangeun Park; Seungdae Oh
Journal:  Microorganisms       Date:  2021-06-25
  2 in total

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