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Genome Wide Association Studies on 7 Yield-related Traits of 183 Rice Varieties in Bangladesh

Nilanjan Roy, Acramul Haque Kabir, Nourin Zahan, Shahba Tasmiya Mouna, Sakshar Chakravarty, Atif Hasan Rahman, Md. Shamsuzzoha Bayzid
doi: https://doi.org/10.1101/2020.11.22.393074
Nilanjan Roy
1Department of Biomedical Engineering Military Institute of Science and Technology Dhaka-1216, Bangladesh
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Acramul Haque Kabir
1Department of Biomedical Engineering Military Institute of Science and Technology Dhaka-1216, Bangladesh
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Nourin Zahan
1Department of Biomedical Engineering Military Institute of Science and Technology Dhaka-1216, Bangladesh
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Shahba Tasmiya Mouna
1Department of Biomedical Engineering Military Institute of Science and Technology Dhaka-1216, Bangladesh
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Sakshar Chakravarty
2Department of Computer Science and Engineering Bangladesh University of Engineering and Technology Dhaka-1205, Bangladesh
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Atif Hasan Rahman
2Department of Computer Science and Engineering Bangladesh University of Engineering and Technology Dhaka-1205, Bangladesh
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Md. Shamsuzzoha Bayzid
2Department of Computer Science and Engineering Bangladesh University of Engineering and Technology Dhaka-1205, Bangladesh
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  • For correspondence: shams_bayzid@cse.buet.ac.bd
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Abstract

Rice genetic diversity is regulated by multiple genes and is largely dependent on various environmental factors. Uncovering the genetic variations associated with the diversity in rice populations is the key to breed stable and high yielding rice varieties. We performed Genome Wide Association Studies (GWAS) on 7 rice yielding traits (grain length, grain width, grain weight, panicle length, leaf length, leaf width and leaf angle) based on 39,40,165 single nucleotide polymorphisms (SNPs) in a population of 183 rice landraces of Bangladesh. Our studies reveal various chromosomal regions that are significantly associated with different traits in Bangladeshi rice varieties. We also identified various candidate genes, which are associated with these traits. This study reveals multiple candidate genes within short intervals. We also identified SNP loci, which are significantly associated with multiple yield-related traits. The results of these association studies support previous findings as well as provide additional insights into the genetic diversity of rice. This is the first known GWAS study on various yield-related traits in the varieties of Oryza sativa available in Bangladesh – the fourth largest rice producing country. We believe this study will accelerate rice genetics research and breeding stable high-yielding rice in Bangladesh.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted November 22, 2020.
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Genome Wide Association Studies on 7 Yield-related Traits of 183 Rice Varieties in Bangladesh
Nilanjan Roy, Acramul Haque Kabir, Nourin Zahan, Shahba Tasmiya Mouna, Sakshar Chakravarty, Atif Hasan Rahman, Md. Shamsuzzoha Bayzid
bioRxiv 2020.11.22.393074; doi: https://doi.org/10.1101/2020.11.22.393074
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Genome Wide Association Studies on 7 Yield-related Traits of 183 Rice Varieties in Bangladesh
Nilanjan Roy, Acramul Haque Kabir, Nourin Zahan, Shahba Tasmiya Mouna, Sakshar Chakravarty, Atif Hasan Rahman, Md. Shamsuzzoha Bayzid
bioRxiv 2020.11.22.393074; doi: https://doi.org/10.1101/2020.11.22.393074

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