Literature DB >> 23759600

Proposal of Ensifer psoraleae sp. nov., Ensifer sesbaniae sp. nov., Ensifer morelense comb. nov. and Ensifer americanum comb. nov.

Yuan Chun Wang1, Fang Wang, Bao Chao Hou, En Tao Wang, Wen Feng Chen, Xin Hua Sui, Wen Xin Chen, Yan Li, Ya Bo Zhang.   

Abstract

In a survey of rhizobia associated with the native legumes in Yunnan Province, China, seven and nine strains isolated from the root nodules of Psoralea corylifolia, Sesbania cannabina and Medicago lupulina were respectively classified into the novel genomic species groups I and II in the genus Ensifer (former Sinorhizobium) based on the sequence analyses of the 16S rRNA gene. Analyses of concatenated housekeeping genes (atpD, recA and glnII) further revealed that they were distinct lineages in the genus, and group I was most similar to Ensifer terangae and Ensifer garamanticus (both with 94.2% similarity), while group II was most similar to Ensifer adhaerens (94.0%). These groups could be distinguished from closely related species by DNA-DNA relatedness, MALID-TOF MS, cellular fatty acid profiles and a series of phenotypic characters. Therefore, two novel species were proposed: Ensifer psoraleae sp. nov. (seven strains, type strain CCBAU 65732(T)=LMG 26835(T)=HAMBI 3286(T)) and Ensifer sesbaniae sp. nov. (nine strains, type strain CCBAU 65729(T)=LMG 26833(T)=HAMBI 3287(T)). They had a DNA G+C mol% (Tm) of 58.9 and 60.4, respectively. Both of the type strains formed effective nodules on common bean (Phaseolus vulgaris) and their hosts of origin. In addition, the previously described species Sinorhizobium morelense and Sinorhizobium americanum were renamed as Ensifer morelense comb. nov. and Ensifer americanum comb. nov. according to the accumulated data from different studies. Crown
Copyright © 2013. Published by Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Ensifer americanumcomb. nov.; Ensifer morelensecomb. nov.; Ensifer psoraleaesp. nov.; Ensifer sesbaniaesp. nov.

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Year:  2013        PMID: 23759600     DOI: 10.1016/j.syapm.2013.05.001

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


  5 in total

Review 1.  Specificity in Legume-Rhizobia Symbioses.

Authors:  Mitchell Andrews; Morag E Andrews
Journal:  Int J Mol Sci       Date:  2017-03-26       Impact factor: 5.923

2.  Symbiotic and Nonsymbiotic Members of the Genus Ensifer (syn. Sinorhizobium) Are Separated into Two Clades Based on Comparative Genomics and High-Throughput Phenotyping.

Authors:  Camilla Fagorzi; Alexandru Ilie; Francesca Decorosi; Lisa Cangioli; Carlo Viti; Alessio Mengoni; George C diCenzo
Journal:  Genome Biol Evol       Date:  2020-12-06       Impact factor: 3.416

3.  Nickel mine soil is a potential source for soybean plant growth promoting and heavy metal tolerant rhizobia.

Authors:  Han Liu; Yongliang Cui; Jie Zhou; Petri Penttinen; Jiahao Liu; Lan Zeng; Qiang Chen; Yunfu Gu; Likou Zou; Ke Zhao; Quanju Xiang; Xiumei Yu
Journal:  PeerJ       Date:  2022-04-21       Impact factor: 3.061

4.  Update of the list of QPS-recommended microbiological agents intentionally added to food or feed as notified to EFSA 16: suitability of taxonomic units notified to EFSA until March 2022.

Authors:  Kostas Koutsoumanis; Ana Allende; Avelino Alvarez-Ordóñez; Declan Bolton; Sara Bover-Cid; Marianne Chemaly; Robert Davies; Alessandra De Cesare; Friederike Hilbert; Roland Lindqvist; Maarten Nauta; Luisa Peixe; Giuseppe Ru; Marion Simmons; Panagiotis Skandamis; Elisabetta Suffredini; Pier Sandro Cocconcelli; Pablo Salvador Fernández Escámez; Miguel Prieto Maradona; Amparo Querol; Lolke Sijtsma; Juan Evaristo Suarez; Ingvar Sundh; Just Vlak; Fulvio Barizzone; Michaela Hempen; Sandra Correia; Lieve Herman
Journal:  EFSA J       Date:  2022-07-25

5.  Taxonomy of Rhizobiaceae revisited: proposal of a new framework for genus delimitation.

Authors:  Nemanja Kuzmanović; Camilla Fagorzi; Alessio Mengoni; Florent Lassalle; George C diCenzo
Journal:  Int J Syst Evol Microbiol       Date:  2022-03       Impact factor: 2.689

  5 in total

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