Evidence map›Paper›PMID 42521714›Full record

ArticleScientific reports2026

Genomic insights of lipid content in rice bran oil through M-QTL analysis.

Katyayni Kanth, Zeba Quaiyum, Bishun Deo Prasad, Sangita Sahni, Rushikesh Sanjay Mane, Yogesh Dashrath Naik, Suraj Kumar, Fatimah M S Alshudukhi, Saud Alamri, Maqsood Ul Hussan and 2 more

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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12 authors.

Katyayni Kanth *Department of Agricultural Biotechnology and Molecular Biology, College of Basic Sciences and Humanities, Pusa, Dr Rajendra Prasad Central Agricultural University (RPCAU), Pusa, Samastipur, Bihar, 848125, India.
Zeba Quaiyum *Department of Agricultural Biotechnology and Molecular Biology, College of Basic Sciences and Humanities, Pusa, Dr Rajendra Prasad Central Agricultural University (RPCAU), Pusa, Samastipur, Bihar, 848125, India.
Bishun Deo Prasad *Department of Agricultural Biotechnology and Molecular Biology, College of Basic Sciences and Humanities, Pusa, Dr Rajendra Prasad Central Agricultural University (RPCAU), Pusa, Samastipur, Bihar, 848125, India. bdprasad@rpcau.ac.in.
Sangita Sahni *Department of Plant Pathology, Tirhut College of Agriculture, Dholi, Dr Rajendra Prasad Central Agricultural University (RPCAU), Pusa, Samastipur, 848125, Bihar, India. sangita@rpcau.ac.in.
Rushikesh Sanjay ManeDepartment of Agricultural Biotechnology and Molecular Biology, College of Basic Sciences and Humanities, Pusa, Dr Rajendra Prasad Central Agricultural University (RPCAU), Pusa, Samastipur, Bihar, 848125, India.
Yogesh Dashrath NaikAgricultural Science Center, New Mexico State University, Clovis, NM, USA.
Suraj KumarDepartment of Agricultural Biotechnology and Molecular Biology, College of Basic Sciences and Humanities, Pusa, Dr Rajendra Prasad Central Agricultural University (RPCAU), Pusa, Samastipur, Bihar, 848125, India.
Fatimah M S AlshudukhiDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Saud AlamriDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia. saualamri@ksu.edu.sa.
Maqsood Ul HussanZhejiang Provincial Key Laboratory of Agricultural Microbiomics, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China.
Hazem M KalajiDepartment of Plant Physiology, Institute of Biology, Warsaw University of Life Sciences, 02‑776, Warsaw, Poland.
Manzer H SiddiquiDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia. mhsiddiqui@ksu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice bran oil (RBO) is highly valued for its beneficial fatty acid profile and wide applications in the food, pharmaceutical and skincare industries. It offers numerous health benefits, including reduced bad cholesterol and antioxidant activity, due to its high levels of vitamin E and γ-oryzanol. Enhancing oil composition and understanding the complex genetic architecture underlying lipid metabolism are, therefore, critical for improving RBO quality. The complexity of quantitative trait loci (QTL) and their environmental interactions has constrained their application in rice breeding. However, Meta-QTL (M-QTL) analysis can streamline this QTL information, identifying stable QTL and candidate genes for introgression. In this study, a M-QTL approach was employed to identify stable QTLs influencing RBO quality. Fourteen independent linkage mapping studies were integrated to construct a high-density consensus map spanning 3029.6 cM with 1523 markers. The analysis identified 19 stable M-QTLs and 133 putative candidate genes associated with lipid metabolism. KEGG pathway analysis highlighted 20 key genes essential for lipid biosynthesis, while haplotype analysis and gene-metabolite interaction mapping provided further insight into the regulation of lipid content in RBO. This work provides a foundation for developing rice varieties with enhanced lipid content, supporting the growing global demand for high-quality rice.

Indexed as

Lipid MetabolismLipidsOryzaQuantitative Trait LociRice Bran OilChromosome MappingGenomicsLipidsRice Bran OilCandidate genesKEGGLipid synthesisMarkerMeta-QTLRice bran oil

Identifiers

PMID42521714
PMCPMC13416146

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