Evidence map›Paper›PMID 38864921›Full record

ArticlePlant cell reports2024

Comparative transcriptomic analysis of the nodulation-competent zone and inference of transcription regulatory network in silicon applied Glycine max [L.]-Merr. Roots.

Sheikh Mansoor, Pooja Tripathi, Amit Ghimire, Saira Hamid, Diaa Abd El-Moniem, Yong Suk Chung, Yoonha Kim

Abstract readComparative Study
In one paragraph

Article in Plant cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

7 authors.

Sheikh MansoorDepartment of Plant Resources and Environment, Jeju National University, Jeju, 63243, Republic of Korea.
Pooja TripathiDepartment of Applied Biosciences, Kyungpook National University, Daegu, 41566, Republic of Korea.
Amit GhimireDepartment of Applied Biosciences, Kyungpook National University, Daegu, 41566, Republic of Korea.
Saira HamidWatson Crick Centre for Molecular Medicine, Islamia University of Science and Technology, Awantipora, Pulwama, J&K, India.
Diaa Abd El-MoniemDepartment of Plant Production (Genetic Branch), Faculty of Environmental Agricultural Sciences, Arish University, El-Arish, 45511, Egypt.
Yong Suk ChungDepartment of Plant Resources and Environment, Jeju National University, Jeju, 63243, Republic of Korea. yschung@jejunu.ac.kr.
Yoonha KimDepartment of Applied Biosciences, Kyungpook National University, Daegu, 41566, Republic of Korea. kyh1229@knu.ac.kr.ORCID http://orcid.org/0000-0003-0058-9161

Funding

Ministry of Education 2021R1A6C101A416Ministry of Education 2021R1I1A3040280
6 · The paper itself

Abstract

key messageThe study unveils Si's regulatory influence by regulating DEGs, TFs, and TRs. Further bHLH subfamily and auxin transporter pathway elucidates the mechanisms enhancing root development and nodulation. Soybean is a globally important crop serving as a primary source of vegetable protein for millions of individuals. The roots of these plants harbour essential nitrogen fixing structures called nodules. This study investigates the multifaceted impact of silicon (Si) application on soybean, with a focus on root development, and nodulation employing comprehensive transcriptomic analyses and gene regulatory network. RNA sequence analysis was utilised to examine the change in gene expression and identify the noteworthy differentially expressed genes (DEGs) linked to the enhancement of soybean root nodulation and root development. A set of 316 genes involved in diverse biological and molecular pathways are identified, with emphasis on transcription factors (TFs) and transcriptional regulators (TRs). The study uncovers TF and TR genes, categorized into 68 distinct families, highlighting the intricate regulatory landscape influenced by Si in soybeans. Upregulated most important bHLH subfamily and the involvement of the auxin transporter pathway underscore the molecular mechanisms contributing to enhanced root development and nodulation. The study bridges insights from other research, reinforcing Si's impact on stress-response pathways and phenylpropanoid biosynthesis crucial for nodulation. The study reveals significant alterations in gene expression patterns associated with cellular component functions, root development, and nodulation in response to Si.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantGene Regulatory NetworksGlycine maxPlant Root NodulationPlant RootsSiliconTranscription FactorsPlant ProteinsTranscriptomePlant ProteinsSiliconTranscription FactorsNodulationRoot developmentSilicon (Si) applicationSoybeanTranscription factors (TFs)Transcriptomic analysis

Identifiers

PMID38864921
PMCPMC11169057

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.