Identification of Novel Quantitative Trait Loci and Candidate Genes Associated with Grain Yield and Related Traits Under Low-Light Stress Conditions in Rice
Low light intensity is a major abiotic stress that severely affects rice yields, particularly in India and Southeast Asia, causing yield reductions of 35-40% during the wet season compared to the dry season. Tolerant rice genotypes exhibit adaptive changes at anatomical, physiological, biochemical, and molecular levels under low-light stress, enabling higher yields compared to susceptible varieties. Our study identified 20 novel QTLs associated with grain yields and nine related traits under low-light and control (normal)-light conditions, using a recombinant inbred line (RIL) population derived from the cross between the low-light-tolerant variety Swarnaprabha and the low-light-susceptible variety IR8. Across the <i>Kharif</i> seasons of 2019 and 2021, 33 stable QTLs were identified, with 11, 13, and 9 QTLs specific to low-light, normal-light, and both conditions, respectively. Of these, Swarnaprabha contributed 28 QTLs, while five were contributed by IR8. Notably, the study identified 11 and 9 novel QTLs under low-light and both conditions, respectively. Three hotspot regions on chromosomes 1, 4, and 8 were identified. These regions harbored 10 novel QTLs and revealed twenty candidate genes, out of which three key hub genes, <i>OsAUX1</i>, <i>OsSBDCP1</i>, and <i>OsNPF5.16</i>, were identified. These hub genes are involved in hormone signaling, starch metabolism, and nitrogen metabolism, respectively. A comprehensive expression analysis of these genes indicated that they are linked to low-light tolerance, offering deeper insights into the genetic and molecular mechanisms underlying low-light resilience. These findings provide valuable genomic resources and potential markers for breeding programs for improving rice productivity under low-light conditions.
Authors
- Baneeta Mishra
- Sanghamitra Samantaray (ORCID: https://orcid.org/0000-0002-5440-6378)
- Lambodar Behera (ORCID: https://orcid.org/0000-0002-8947-2332)
- Mirza Jaynul Baig (ORCID: https://orcid.org/0000-0001-8229-6471)
- Sharat Kumar Pradhan (ORCID: https://orcid.org/0000-0001-7716-0721)
- Awadhesh Kumar (ORCID: https://orcid.org/0000-0002-4428-1030)
- Nalinikanta Choudhury (ORCID: https://orcid.org/0000-0001-9442-3095)
- S. Mohanty (ORCID: https://orcid.org/0000-0001-7909-2427)
- B. N. Devanna (ORCID: https://orcid.org/0000-0002-7404-6111)
- Rameswar Prasad Sah (ORCID: https://orcid.org/0000-0003-1724-3685)
- Darshan Panda (ORCID: https://orcid.org/0000-0003-4479-9320)
- Swagatika Das
- Ranjan Kumar Jena
- Reshmiraj K.R.
- Anil Kumar Chandrappa
Institutions
- Indian Agricultural Statistics Research Institute (IN)
- Indian Council of Agricultural Research (IN)
- Indian Agricultural Research Institute (IN)
- Central Rice Research Institute (IN)
Publication Details
- Journal
- Biomolecules
- Published
- 2025-09-29
- DOI
- https://doi.org/10.3390/biom15101388
- Primary Topic
- Rice Cultivation and Yield Improvement
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Rice Research Institute, Indian Council of Agricultural Research
- Indian Council of Agricultural Research