Evidence map›Paper›PMID 36975024›Full record

ArticleMolecular plant pathology2023

Soybean gene co-expression network analysis identifies two co-regulated gene modules associated with nodule formation and development.

Sarbottam Piya, Vince Pantalone, Sobhan Bahrami Zadegan, Sarah Shipp, Naoufal Lakhssassi, Dounya Knizia, Hari B Krishnan, Khalid Meksem, Tarek Hewezi

Open access · goldAbstract read
In one paragraph

Article in Molecular plant pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Genome-Wide Identification and Salt Tolerance Analysis of theInternational journal of molecular sciences · 2026
    Article
  4. The analysis of the genetic loci affecting phenotypic plasticity of soybean isoflavone content by dQTG.seq model.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Overexpression of soybeanFrontiers in plant science · 2023
    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

9 authors at 3 institutions in 1 country.

Sarbottam PiyaDepartment of Plant Sciences, University of Tennessee, Knoxville, Tennessee, 37996, USA.
Vince PantaloneDepartment of Plant Sciences, University of Tennessee, Knoxville, Tennessee, 37996, USA.
Sobhan Bahrami ZadeganDepartment of Plant Sciences, University of Tennessee, Knoxville, Tennessee, 37996, USA.
Sarah ShippDepartment of Plant Sciences, University of Tennessee, Knoxville, Tennessee, 37996, USA.
Naoufal LakhssassiDepartment of Plant, Soil and Agricultural Systems, Southern Illinois University, Carbondale, Illinois, 62901, USA.
Dounya KniziaDepartment of Plant, Soil and Agricultural Systems, Southern Illinois University, Carbondale, Illinois, 62901, USA.
Hari B KrishnanPlant Science Division, University of Missouri, Columbia, Missouri, USA.
Khalid MeksemDepartment of Plant, Soil and Agricultural Systems, Southern Illinois University, Carbondale, Illinois, 62901, USA.
Tarek HeweziDepartment of Plant Sciences, University of Tennessee, Knoxville, Tennessee, 37996, USA.ORCID 0000-0001-5256-8878
University of Tennessee at Knoxville · USSouthern Illinois University Carbondale · USAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene co-expression network analysis is an efficient systems biology approach for the discovery of novel gene functions and trait-associated gene modules. To identify clusters of functionally related genes involved in soybean nodule formation and development, we performed a weighted gene co-expression network analysis. Two nodule-specific modules (NSM-1 and NSM-2, containing 304 and 203 genes, respectively) were identified. The NSM-1 gene promoters were significantly enriched in cis-binding elements for ERF, MYB, and C2H2-type zinc transcription factors, whereas NSM-2 gene promoters were enriched in cis-binding elements for TCP, bZIP, and bHLH transcription factors, suggesting a role of these regulatory factors in the transcriptional activation of nodule co-expressed genes. The co-expressed gene modules included genes with potential novel roles in nodulation, including those involved in xylem development, transmembrane transport, the ethylene signalling pathway, cytoskeleton organization, cytokinesis and regulation of the cell cycle, regulation of meristem initiation and growth, transcriptional regulation, DNA methylation, and histone modifications. Functional analysis of two co-expressed genes using TILLING mutants provided novel insight into the involvement of unsaturated fatty acid biosynthesis and folate metabolism in nodule formation and development. The identified gene co-expression modules provide valuable resources for further functional genomics studies to dissect the genetic basis of nodule formation and development in soybean.

Indexed as

Gene Regulatory NetworksGlycine maxGene Expression ProfilingGene Expression Regulation, PlantTranscription FactorsTranscription Factorsgene co-expression networknodule formation and developmentsoybeanTILLING

Identifiers

PMID36975024
PMCPMC10189762
OpenAlexW4361191182

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.