Evidence map›Paper›PMID 41782340›Full record

ArticleThe plant genome2026

Genome-wide association analysis to identify QTLs and candidate genes associated with grain yield and its related traits under low light conditions in rice (Oryza sativa L.).

Swagatika Das, Soumya Mohanty, Darshan Panda, Nalini K Choudhury, Baneeta Mishra, Ranjan K Jena, Devanna Bn, Reshmiraj Kr, Awadesh Kumar, Khirod K Sahoo and 6 more

Abstract read
In one paragraph

Article in The plant genome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Swagatika DasICAR-National Rice Research Institute, Cuttack, India.ORCID https://orcid.org/0009-0009-6831-8828
Soumya MohantyICAR-National Rice Research Institute, Cuttack, India.
Darshan PandaICAR-National Rice Research Institute, Cuttack, India.
Nalini K ChoudhuryICAR-National Rice Research Institute, Cuttack, India.
Baneeta MishraICAR-National Rice Research Institute, Cuttack, India.
Ranjan K JenaICAR-National Rice Research Institute, Cuttack, India.
Devanna BnICAR-National Rice Research Institute, Cuttack, India.
Reshmiraj KrICAR-National Rice Research Institute, Cuttack, India.
Awadesh KumarICAR-National Rice Research Institute, Cuttack, India.
Khirod K SahooDepartment of Botany, Ravenshaw University, Cuttack, India.
Anil Kumar CICAR-National Rice Research Institute, Cuttack, India.ORCID https://orcid.org/0000-0002-7359-1249
Rameswar P SahICAR-National Rice Research Institute, Cuttack, India.ORCID https://orcid.org/0000-0003-1724-3685
Sharat K PradhanICAR-Indian Council Of Agricultural Research, New Delhi, India.ORCID https://orcid.org/0000-0001-7716-0721
Sanghamitra SamantrayICAR-National Rice Research Institute, Cuttack, India.
Mirza J BaigICAR-National Rice Research Institute, Cuttack, India.
Lambodar BeheraICAR-National Rice Research Institute, Cuttack, India.ORCID https://orcid.org/0000-0001-7909-2427

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-light (LL) stress caused by persistent cloud cover during the Kharif season significantly reduces rice (Oryza sativa L.) grain yield (GY) by limiting photosynthesis, impairing assimilate production, and affecting reproductive development. To dissect the genetic basis of LL tolerance, 192 diverse rice genotypes were evaluated across contrasting light environments (LL and normal light under Rabi and Kharif seasons) and genotyped using a high-density 44K single nucleotide polymorphism array. Integrating phenotypic and genomic data enabled a multi-tiered analysis from quantitative trait locus (QTL) discovery to gene identification and haplotype dissection. Genome-wide association analysis identified 305 QTLs associated with GY and 11 related traits, including 148 LL-specific and 32 stable QTLs expressed across both seasons. Forty-two candidate genes were localized within major QTL intervals, and 12 were identified as hub genes based on their key roles in photosynthesis, light perception, hormone signaling, and starch biosynthesis. These included Gn1a, OsPsbS1, OsAGPL2, OsLhcb1, OsAUX1, OsSBDCP1, OsNPF5.16, OsPHYA, OsPHYB, OsGIF1, HY5, and OsYUC11. Expression profiling confirmed stronger induction of OsPHYA (∼2.5-fold) and OsPsbS1 (∼2.8-fold) in LL-tolerant genotypes like Purnendu and Swarnaprabha compared to susceptible lines. Haplotype analysis revealed several superior alleles, such as PHYA-Hap2 and OsPsbS1-Hap3, that were consistently associated with higher spikelet fertility, greater grain number, increased biomass, and improved GY under LL, with top-performing haplotypes enhancing yield by 12%-18%. Genotypes carrying these haplotypes (e.g., Purnendu, Swarnaprabha, and Chamarmani) represent valuable breeding donors. Overall, this study provides the first genome-wide identification of LL-specific haplotypes in rice, together with biologically validated hub genes. These findings offer actionable genomic targets and donor resources for developing LL-resilient, high-yielding cultivars suited to changing climate and light-limited environments.

Indexed as

OryzaQuantitative Trait LociEdible GrainGenome-Wide Association StudyGenotypeHaplotypesLightPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID41782340
PMCPMC12961260

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LicenceCC BY-NC-ND
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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.