Evidence map›Paper›PMID 40949560›Full record

ArticleFrontiers in plant science2025

Dissecting genomic regions and candidate genes for pod borer resistance and component traits in pigeonpea minicore collection.

Abhinav Moghiya, R S Munghate, Vinay Sharma, Suraj Prashad Mishra, Jagdish Jaba, Shailendra Singh Gaurav, Sunil S Gangurde, Namita Dube, Sagar Krushnaji Rangari, Rajib Roychowdhury and 3 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Breeding for next-generation biotic stress-tolerant pigeonpea for sustainable food legume production.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    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

13 authors.

Abhinav MoghiyaCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
R S MunghateCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Vinay SharmaCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Suraj Prashad MishraCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Jagdish JabaCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Shailendra Singh GauravDepartment of Genetics and Plant Breeding, Chaudhary Charan Singh University (CCSU), Meerut, India.
Sunil S GangurdeCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Namita DubeCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Sagar Krushnaji RangariCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Rajib RoychowdhuryCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Prakash GangashettyCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Hari Chand SharmaCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Manish K PandeyCenter of Excellence in Genomics and Systems Biology (CEGSB), and Center for Pre-Breeding Research (CPBR), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pigeonpea is an important leguminous food crop primarily grown in tropical and subtropical regions of the world and is a rich source of high-quality protein. Biotic (weed, disease, and insect pests) and abiotic stresses have significantly reduced the production and productivity of pigeonpea. Results: Phenotypic data of pod borer resistance and component traits, along with the whole-genome resequencing (WGRS) data for 4,99,980 single nucleotide polymorphisms (SNPs), were utilised to perform multi-locus genome-wide association study (GWAS) analysis. Two models [settlement of MLM under progressively exclusive relationship (SUPER) and fixed and random model circulating probability unification (FarmCPU)] detected 14 significant marker-trait associations (MTAs) for PBR and three component traits. The MTAs with significant effect were mainly identified on chromosomes CcLG02, CcLG04, CcLG05, CcLG07, and CcLG11. These MTAs were subsequently delineated with key candidate genes associated with pod borer resistance ( Conclusion: These research findings reported significant MTAs and candidate genes associated with pod borer resistance and component traits. Further lab-based pod bioassay screening identified four minicore accessions, namely, ICP 10503, ICP 655, ICP 9691, and ICP 9655 (moderately resistant genotypes), showing the least damage rating and larval weight gain %, compared to the susceptible checks. After validating the significant MTAs, the associated SNP markers can be effectively utilised in indirect selection, which offers potential gains for such quantitative traits with low heritability and can improve insect management more sustainably. The significant MTAs, candidate genes, and resistant accessions reported in this study may be utilised for the development of pod borer-resistant pigeonpea varieties.

Indexed as

candidate gene discoverygenomic regionsinsect damage scoreinsect resistancemarker-trait associationmini-core collection

Identifiers

PMID40949560
PMCPMC12426953

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Registered trials

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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.