Literature DB >> 32139173

Polyphasic analysis reveals correlation between phenotypic and genotypic analysis in soybean bradyrhizobia (Bradyrhizobium spp.).

P Joglekar1, C P Mesa2, V A Richards1, S W Polson3, K E Wommack4, J J Fuhrmann5.   

Abstract

Soybean bradyrhizobia (Bradyrhizobium spp.) are bacteria that fix atmospheric nitrogen within the root nodules of soybean, a crop critical for meeting global nutritional protein demand. Members of this group differ in symbiotic effectiveness, and historically both phenotypic and genotypic approaches have been used to assess bradyrhizobial diversity. However, agreement between various approaches of assessment is poorly known. A collection (n=382) of soybean bradyrhizobia (Bradyrhizobium japonicum, B. diazoefficiens, and B. elkanii) were characterized by Internal Transcribed Spacer - Restriction Fragment Length Polymorphism (ITS-RFLP), cellular fatty acid composition (fatty acid methyl esters, FAME), and serological reactions to assess agreement between phenotypic and genotypic methods. Overall, 76% of the accessions demonstrated identical clustering with each of these techniques. FAME was able to identify all 382 accessions, whereas 14% were non-reactive serologically. One ITS-RFLP group, containing 36 Delaware isolates, produced multiple ITS amplicons indicating they possess multiple ribosomal RNA (rrn) operons. Cloning and sequencing revealed that these strains contained as many as three heterogenous rrn operons, a trait previously unknown in bradyrhizobia. A representative subset of 96 isolates was further characterized using 16S rRNA and Internal Transcribed Spacer (ITS) amplicon sequencing. ITS sequences showed better inter- and intra-species discrimination (65-99% identity) than 16S sequences (96-99% identity). This study shows that phenotypic and genotypic approaches are strongly correlated at the species level but should be approached with caution. We also suggest using combined 16S and ITS genotyping data to obtain better inter- and intra-species resolution in bradyrhizobia classification.
Copyright © 2020 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  16S rRNA; Bradyrhizobia; FAME; ITS; Serology; Soybean

Mesh:

Substances:

Year:  2020        PMID: 32139173      PMCID: PMC7894101          DOI: 10.1016/j.syapm.2020.126073

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


  34 in total

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Authors:  R A DATE; A M DECKER
Journal:  Can J Microbiol       Date:  1965-02       Impact factor: 2.419

2.  An in vitro strategy for the selective isolation of anomalous DNA from prokaryotic genomes.

Authors:  M W J van Passel; A Bart; R J A Waaijer; A C M Luyf; A H C van Kampen; A van der Ende
Journal:  Nucleic Acids Res       Date:  2004-08-10       Impact factor: 16.971

3.  Simplified Enzyme-Linked Immunosorbent Assay for Routine Identification of Rhizobium japonicum Antigens.

Authors:  J Fuhrmann; A G Wollum
Journal:  Appl Environ Microbiol       Date:  1985-04       Impact factor: 4.792

4.  Impact Assessment and Environmental Evaluation of Various Ammonia Production Processes.

Authors:  Yusuf Bicer; Ibrahim Dincer; Greg Vezina; Frank Raso
Journal:  Environ Manage       Date:  2017-02-14       Impact factor: 3.266

5.  Evolutionary relationships among the soybean bradyrhizobia reconstructed from 16S rRNA gene and internally transcribed spacer region sequence divergence.

Authors:  P van Berkum; J J Fuhrmann
Journal:  Int J Syst Evol Microbiol       Date:  2000-11       Impact factor: 2.747

6.  Characterization of soybean bradyrhizobia for which serogroup affinities have not been identified.

Authors:  P van Berkum; J J Fuhrmann
Journal:  Can J Microbiol       Date:  2001-06       Impact factor: 2.419

7.  RFLP analysis of the rRNA operon of a Brazilian collection of bradyrhizobial strains from 33 legume species.

Authors:  Mariana Gomes Germano; Pâmela Menna; Fabio Luis Mostasso; Mariangela Hungria
Journal:  Int J Syst Evol Microbiol       Date:  2006-01       Impact factor: 2.747

8.  Bradyrhizobium liaoningense sp. nov., isolated from the root nodules of soybeans.

Authors:  L M Xu; C Ge; Z Cui; J Li; H Fan
Journal:  Int J Syst Bacteriol       Date:  1995-10

9.  Evidence from internally transcribed spacer sequence analysis of soybean strains that extant Bradyrhizobium spp. are likely the products of reticulate evolutionary events.

Authors:  Peter van Berkum; Jeffry J Fuhrmann
Journal:  Appl Environ Microbiol       Date:  2008-11-14       Impact factor: 4.792

10.  A database for the taxonomic and phylogenetic identification of the genus Bradyrhizobium using multilocus sequence analysis.

Authors:  Helton Azevedo; Fabricio Lopes; Paulo Silla; Mariangela Hungria
Journal:  BMC Genomics       Date:  2015-05-26       Impact factor: 3.969

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