Evidence map›Paper›PMID 40151312›Full record

ArticleEvolutionary bioinformatics online2025

Genome-Wide Identification and Characterization of the

Hadia Hussain, Aleena Alam, Iqra Mehar, Maryam Noor, Othman Al-Dossary, Bader Alsubaie, Muneera Q Al-Mssallem, Jameel Mohammed Al-Khayri

Abstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Hadia HussainKey Laboratory of Molecular Epigenetics of MOE, Northeast Normal University, Changchun, China.ORCID https://orcid.org/0000-0001-7034-6574
Aleena AlamDepartment of Agricultural Entomology and Pest Control, College of Plant Protection, Jilin Agricultural University, Jilin, Changchun, China.
Iqra MeharGovernment College University Faisalabad, Faisalabad, Pakistan.
Maryam NoorDepartment of Biotechnology, University of Okara, Okara, Pakistan.
Othman Al-DossaryDepartment of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia.
Bader AlsubaieDepartment of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia.
Muneera Q Al-MssallemDepartment of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia.
Jameel Mohammed Al-KhayriDepartment of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The WRKY gene family is identified as one of the most prominent transcription factor families in plants and is involved in various biological processes such as metabolism, growth and development, and response to biotic and abiotic stresses. In many plant species, the WRKY gene family was widely studied and analyzed but little to no information for Objective: The main objective of this study was to analyze and identify the WRKY gene family in Methodology: Various bioinformatics approaches have been used to conduct this study. Results: We constituted 46 members of the Conclusion: Therefore, overall, our results provided an excellent foundation for further functional characterization of

Indexed as

abiotic stressesbioinformatics analysisFortunella hindsiigenome-wide analysisWRKY transcription factor

Identifiers

PMID40151312
PMCPMC11938444

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.