Abstract
A core set of 190 rice landraces were used to decipher the genetic structure and to discover the chromosomal regions containing QTLs, affecting the grain micro-nutrients, fatty acids, and yield-related traits by using 148 molecular markers in this study. Landraces were categorized into three sub-groups based on population stratification study and followed by neighbor-joining tree and principal component analysis. Analysis of variance revealed abundant variations among the landraces for studied traits with less influence of environmental factors. Genome Wide Association Studies (GWAS) revealed 22 significant and consistent QTLs through marker trait association (MTAs) for 12 traits based on 2 years and pooled analysis. Out of 22 QTLs, three have been reported earlier while 19 QTLs are novel. Interestingly, 13 QTLs out of 22 were explained more than 10% phenotypic variance. Association of RM1148 and RM205 with Days to 50% flowering was comparable with flowering control genes Ghd8/qDTH8 and qDTH9, respectively. Similarly, Zn content was associated with RM44, which is situated within the QTL qZn8-1. Moreover, significant association of RM25 with oleic acid content was closely positioned with QTL qOle8. Association of RM7434 with grain yield/plant; RM184 with spikelet fertility %; R3M10, R9M42 with hundred seed weight; RM536, RM17467, RM484, RM26063 with Fe content; RM44, RM6839 with Zn content are the major outcomes of this study. In addition, association of R11M23 with days to 50% flowering, panicle length and total spikelets per panicle are explained the possible occurrence of pleiotropism among these traits. Prominent rice landraces viz., Anjani (early maturity); Sihar (extra dwarf); Gangabaru (highest grain yield/plant); Karhani (highest iron content); Byalo-2 (highest zinc content) and Kadamphool (highest oleic acid) were identified through this study. The present study will open many avenues towards utilization of these QTLs and superior landraces in rice breeding for developing nutrition-rich high yielding varieties.
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Acknowledgements
Department of Science and Technology (DST), Ministry of Science and Technology, Government of India is sincerely acknowledged for providing financial support as INSPIRE fellowship to PKS. Indian Institute of Rice Research, Hyderabad is duly acknowledged for technical and scientific cooperation. Authors are also thankful to Head, NA&BTD; Associate Director, BSG, BARC, Mumbai and Head, Department of Genetics and Plant Breeding, IGKV, Raipur for technical support and cooperation during the experiment.
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Department of Science and Technology, Ministry of Science and Technology, Grant number [IF150523].
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Conceptualization of work: DS, SM, BKD; Data curation: PKS, SM, GV, RS, VK; Data analysis: PKS, SM; Funding acquisition: DS, BKD; Investigation: PKS, SM; Methodology: PKS, SM, GV, VK; Resources: DS, SM, BKD, VK; Supervision: DS, BKD; Writing ± original draft: PKS, SM, RS; Review and editing: SM, DS, BKD, VK, GV. All authors read and approved the final manuscript.
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Sahu, P.K., Mondal, S., Sao, R. et al. Genome-wide association mapping revealed numerous novel genomic loci for grain nutritional and yield-related traits in rice (Oryza sativa L.) landraces. 3 Biotech 10, 487 (2020). https://doi.org/10.1007/s13205-020-02467-z
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DOI: https://doi.org/10.1007/s13205-020-02467-z