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Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition

BACKGROUND: Puddled transplanted system of rice cultivation despite having several benefits, is a highly labor, water and energy intensive system. In the face of changing climatic conditions, a successful transition from puddled to dry direct seeded rice (DDSR) cultivation system looks must in futur...

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Autores principales: Subedi, Sushil Raj, Sandhu, Nitika, Singh, Vikas Kumar, Sinha, Pallavi, Kumar, Santosh, Singh, S. P., Ghimire, Surya Kant, Pandey, Madhav, Yadaw, Ram Baran, Varshney, Rajeev K., Kumar, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558851/
https://www.ncbi.nlm.nih.gov/pubmed/31182016
http://dx.doi.org/10.1186/s12864-019-5840-9
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author Subedi, Sushil Raj
Sandhu, Nitika
Singh, Vikas Kumar
Sinha, Pallavi
Kumar, Santosh
Singh, S. P.
Ghimire, Surya Kant
Pandey, Madhav
Yadaw, Ram Baran
Varshney, Rajeev K.
Kumar, Arvind
author_facet Subedi, Sushil Raj
Sandhu, Nitika
Singh, Vikas Kumar
Sinha, Pallavi
Kumar, Santosh
Singh, S. P.
Ghimire, Surya Kant
Pandey, Madhav
Yadaw, Ram Baran
Varshney, Rajeev K.
Kumar, Arvind
author_sort Subedi, Sushil Raj
collection PubMed
description BACKGROUND: Puddled transplanted system of rice cultivation despite having several benefits, is a highly labor, water and energy intensive system. In the face of changing climatic conditions, a successful transition from puddled to dry direct seeded rice (DDSR) cultivation system looks must in future. Genome-wide association study was performed for traits including, roots and nutrient uptake (14 traits), plant-morphological (5 traits), lodging-resistance (4 traits) and yield and yield attributing traits (7 traits) with the aim to identify significant marker-trait associations (MTAs) for traits enhancing rice adaptability to dry direct-seeded rice (DDSR) system. RESULTS: Study identified a total of 37 highly significant MTAs for 20 traits. The false discovery rate (FDR) ranged from 0.264 to 3.69 × 10(− 4), 0.0330 to 1.25 × 10(− 4), and 0.0534 to 4.60 × 10(− 6) in 2015WS, 2016DS and combined analysis, respectively. The percent phenotypic variance (PV) explained by SNPs ranged from 9 to 92%. Among the identified significant MTAs, 15 MTAs associated with the traits including nodal root, root hair length, root length density, stem and culm diameter, plant height and grain yield were reported to be located in the proximity of earlier identified candidate gene. The significant positive correlation of grain-yield with seedling establishment traits, root morphological and nutrient-uptake related traits and grain yield attributing traits pointing towards combining target traits to increase rice yield and adaptability under DDSR. Seven promising progenies with better root morphology, nutrient-uptake and higher grain yield were identified that can further be used in genomics assisted breeding for DDSR varietal development. CONCLUSIONS: Once validated, the identified MTAs and the SNPs linked with trait of interest could be of direct use in genomic assisted breeding (GAB) to improve grain yield and adaptability of rice under DDSR. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5840-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-65588512019-06-13 Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition Subedi, Sushil Raj Sandhu, Nitika Singh, Vikas Kumar Sinha, Pallavi Kumar, Santosh Singh, S. P. Ghimire, Surya Kant Pandey, Madhav Yadaw, Ram Baran Varshney, Rajeev K. Kumar, Arvind BMC Genomics Research Article BACKGROUND: Puddled transplanted system of rice cultivation despite having several benefits, is a highly labor, water and energy intensive system. In the face of changing climatic conditions, a successful transition from puddled to dry direct seeded rice (DDSR) cultivation system looks must in future. Genome-wide association study was performed for traits including, roots and nutrient uptake (14 traits), plant-morphological (5 traits), lodging-resistance (4 traits) and yield and yield attributing traits (7 traits) with the aim to identify significant marker-trait associations (MTAs) for traits enhancing rice adaptability to dry direct-seeded rice (DDSR) system. RESULTS: Study identified a total of 37 highly significant MTAs for 20 traits. The false discovery rate (FDR) ranged from 0.264 to 3.69 × 10(− 4), 0.0330 to 1.25 × 10(− 4), and 0.0534 to 4.60 × 10(− 6) in 2015WS, 2016DS and combined analysis, respectively. The percent phenotypic variance (PV) explained by SNPs ranged from 9 to 92%. Among the identified significant MTAs, 15 MTAs associated with the traits including nodal root, root hair length, root length density, stem and culm diameter, plant height and grain yield were reported to be located in the proximity of earlier identified candidate gene. The significant positive correlation of grain-yield with seedling establishment traits, root morphological and nutrient-uptake related traits and grain yield attributing traits pointing towards combining target traits to increase rice yield and adaptability under DDSR. Seven promising progenies with better root morphology, nutrient-uptake and higher grain yield were identified that can further be used in genomics assisted breeding for DDSR varietal development. CONCLUSIONS: Once validated, the identified MTAs and the SNPs linked with trait of interest could be of direct use in genomic assisted breeding (GAB) to improve grain yield and adaptability of rice under DDSR. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5840-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-10 /pmc/articles/PMC6558851/ /pubmed/31182016 http://dx.doi.org/10.1186/s12864-019-5840-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Subedi, Sushil Raj
Sandhu, Nitika
Singh, Vikas Kumar
Sinha, Pallavi
Kumar, Santosh
Singh, S. P.
Ghimire, Surya Kant
Pandey, Madhav
Yadaw, Ram Baran
Varshney, Rajeev K.
Kumar, Arvind
Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition
title Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition
title_full Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition
title_fullStr Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition
title_full_unstemmed Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition
title_short Genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition
title_sort genome-wide association study reveals significant genomic regions for improving yield, adaptability of rice under dry direct seeded cultivation condition
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558851/
https://www.ncbi.nlm.nih.gov/pubmed/31182016
http://dx.doi.org/10.1186/s12864-019-5840-9
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