Evidence map›Paper›PMID 32139173›Full record

ArticleSystematic and applied microbiology2020

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

P Joglekar, C P Mesa, V A Richards, S W Polson, K E Wommack, J J Fuhrmann

Open access · greenAbstract read
In one paragraph

Article in Systematic and applied microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. SoybeanViruses · 2024
    Article
  4. Exploring potential soybean bradyrhizobia from high trehalose-accumulating soybean genotypes for improved symbiotic effectiveness in soybean.International microbiology : the official journal of the Spanish Society for Microbiology · 2023
    Article
  5. Article
  6. Acetylenotrophic and DiazotrophicApplied and environmental microbiology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

P JoglekarDepartment of Biological Sciences, University of Delaware, Newark, Delaware, USA.
C P MesaDepartment of Plant and Soil Sciences, University of Delaware, Newark, Delaware, USA.
V A RichardsDepartment of Biological Sciences, University of Delaware, Newark, Delaware, USA.
S W PolsonCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, USA; Delaware Biotechnology Institute, University of Delaware, Newark, Delaware, USA.
K E WommackDepartment of Biological Sciences, University of Delaware, Newark, Delaware, USA; Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware, USA; Delaware Biotechnology Institute, University of Delaware, Newark, Delaware, USA.
J J FuhrmannDepartment of Biological Sciences, University of Delaware, Newark, Delaware, USA; Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware, USA. Electronic address: fuhrmann@udel.edu.
University of Delaware · USBiotechnology Institute · US

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Anjana Narayan Bhat · 2012 to 2026
$67.2M
NIGMS NIH HHS P20 GM103446
6 · The paper itself

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.

Indexed as

GenotypePhenotypeAcyltransferasesBradyrhizobiumDNA, BacterialDNA, Ribosomal SpacerGlycine maxPhylogenyRNA, BacterialRNA, Ribosomal, 16SSerologic TestsAcyltransferasesDNA, BacterialDNA, Ribosomal Spacerfatty acid modifying enzymeRNA, BacterialRNA, Ribosomal, 16S16S rRNABradyrhizobiaFAMEITSSerologySoybean

Identifiers

PMID32139173
PMCPMC7894101
OpenAlexW3005546646

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.