Evidence map›Paper›PMID 40243474›Full record

ArticleInternational journal of molecular sciences2025

The Impact of Soybean Genotypes on Rhizosphere Microbial Dynamics and Nodulation Efficiency.

Doni Thingujam, Aqsa Majeed, Bala Subramanyam Sivarathri, Nisarga Kodadinne Narayana, Mohan K Bista, Katie E Cowart, Adelle J Knight, Karolina M Pajerowska-Mukhtar, Raju Bheemanahalli, M Shahid Mukhtar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Doni ThingujamDepartment of Biological Sciences, Clemson University, 132 Long Hall, Clemson, SC 29634, USA.
Aqsa MajeedDepartment of Biology, University of Alabama at Birmingham, 3100 East Science Hall, 902 14th Street South, Birmingham, AL 35294, USA.ORCID 0009-0007-7627-8518
Bala Subramanyam SivarathriDepartment of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS 39762, USA.
Nisarga Kodadinne NarayanaDepartment of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS 39762, USA.
Mohan K BistaDepartment of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS 39762, USA.ORCID 0009-0007-9047-5024
Katie E CowartDepartment of Biology, University of Alabama at Birmingham, 3100 East Science Hall, 902 14th Street South, Birmingham, AL 35294, USA.
Adelle J KnightDepartment of Biology, University of Alabama at Birmingham, 3100 East Science Hall, 902 14th Street South, Birmingham, AL 35294, USA.
Karolina M Pajerowska-MukhtarDepartment of Biological Sciences, Clemson University, 132 Long Hall, Clemson, SC 29634, USA.ORCID 0000-0002-5813-7486
Raju BheemanahalliDepartment of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS 39762, USA.ORCID 0000-0002-9325-4901
M Shahid MukhtarDepartment of Biology, University of Alabama at Birmingham, 3100 East Science Hall, 902 14th Street South, Birmingham, AL 35294, USA.

Funding

National Institute of Food and Agriculture MIS-430030National Science Foundation 2418230National Science Foundation 2418231National Science Foundation IOS-2038872
6 · The paper itself

Abstract

Rhizosphere microbiome exerts a significant role in plant health, influencing nutrient availability, disease resistance, and overall plant growth. Establishing a robust and efficient nodulation process is essential for optimal nitrogen fixation in legumes like soybeans. Different soybean genotypes exhibit variations in their rhizosphere microbiome, potentially impacting nitrogen fixation through nodulation. However, a detailed understanding of how specific soybean genotypes influence rhizosphere microbial communities and nodulation patterns remains limited. Our study aims to investigate the relationship between rhizosphere microbial abundance and plant growth in four soybean genotypes. We evaluated plant growth parameters, including biomass, leaf area, and stomatal conductance, and identified significant genotypic differences in nodulation. Specifically, genotypes PI 458505 and PI 603490 exhibited high levels of nodulation, while PI 605839A and PI 548400 displayed low nodulation. 16S rRNA gene amplicon sequencing revealed diverse bacterial communities in the rhizosphere, with

Indexed as

Glycine maxMicrobiotaPlant Root NodulationRhizosphereBacteriaGenotypeNitrogen FixationRNA, Ribosomal, 16SSoil MicrobiologyRNA, Ribosomal, 16Salpha diversityamplicon sequencingbeta diversitymicrobiomestomatataxonomic abundance

Identifiers

PMID40243474
PMCPMC11988558

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.