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Genetic Architecture and Candidate Genes for Deep-Sowing Tolerance in Rice Revealed by Non-syn GWAS

Dry direct-seeding of rice is rapidly increasing in China, but variable planting depth associated with machine sowing can lead to low seedling emergence rates. Phenotype analysis of 621 rice accessions showed that mesocotyl length (ML) was induced by deep soil covering and was important in deep-sowi...

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Autores principales: Zhao, Yan, Zhao, Weipeng, Jiang, Conghui, Wang, Xiaoning, Xiong, Huaiyang, Todorovska, Elena G., Yin, Zhigang, Chen, Yanfa, Wang, Xin, Xie, Jianyin, Pan, Yinghua, Rashid, Muhammad A. R., Zhang, Hongliang, Li, Jinjie, Li, Zichao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5864933/
https://www.ncbi.nlm.nih.gov/pubmed/29616055
http://dx.doi.org/10.3389/fpls.2018.00332
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author Zhao, Yan
Zhao, Weipeng
Jiang, Conghui
Wang, Xiaoning
Xiong, Huaiyang
Todorovska, Elena G.
Yin, Zhigang
Chen, Yanfa
Wang, Xin
Xie, Jianyin
Pan, Yinghua
Rashid, Muhammad A. R.
Zhang, Hongliang
Li, Jinjie
Li, Zichao
author_facet Zhao, Yan
Zhao, Weipeng
Jiang, Conghui
Wang, Xiaoning
Xiong, Huaiyang
Todorovska, Elena G.
Yin, Zhigang
Chen, Yanfa
Wang, Xin
Xie, Jianyin
Pan, Yinghua
Rashid, Muhammad A. R.
Zhang, Hongliang
Li, Jinjie
Li, Zichao
author_sort Zhao, Yan
collection PubMed
description Dry direct-seeding of rice is rapidly increasing in China, but variable planting depth associated with machine sowing can lead to low seedling emergence rates. Phenotype analysis of 621 rice accessions showed that mesocotyl length (ML) was induced by deep soil covering and was important in deep-sowing tolerance in the field. Here, we performed and compared GWAS using three types of SNPs (non-synonymous SNP, non-synonymous SNPs and SNPs within promoters and 3 million randomly selected SNPs from the entire set of SNPs) and found that Non-Syn GWAS (GWAS using non-synonyomous SNP) decreased computation time and eliminated confounding by other loci relative to GWAS using randomly selected SNPs. Thirteen QTLs were finally detected, and two new major-effect genes, named OsML1 and OsML2, were identified by an integrated analysis. There were 2 and 7 non-synonymous SNPs in OsML1 and OsML2, respectively, from which 3 and 4 haplotypes were detected in cultivated rice. Combinations of superior haplotypes of OsML1 and OsML2 increased ML by up to 4 cm, representing high emergence rate (85%) in the field with 10 cm of soil cover. The studies provide key loci and naturally occurring alleles of ML that can be used in improving tolerance to dry direct-seeding.
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spelling pubmed-58649332018-04-03 Genetic Architecture and Candidate Genes for Deep-Sowing Tolerance in Rice Revealed by Non-syn GWAS Zhao, Yan Zhao, Weipeng Jiang, Conghui Wang, Xiaoning Xiong, Huaiyang Todorovska, Elena G. Yin, Zhigang Chen, Yanfa Wang, Xin Xie, Jianyin Pan, Yinghua Rashid, Muhammad A. R. Zhang, Hongliang Li, Jinjie Li, Zichao Front Plant Sci Plant Science Dry direct-seeding of rice is rapidly increasing in China, but variable planting depth associated with machine sowing can lead to low seedling emergence rates. Phenotype analysis of 621 rice accessions showed that mesocotyl length (ML) was induced by deep soil covering and was important in deep-sowing tolerance in the field. Here, we performed and compared GWAS using three types of SNPs (non-synonymous SNP, non-synonymous SNPs and SNPs within promoters and 3 million randomly selected SNPs from the entire set of SNPs) and found that Non-Syn GWAS (GWAS using non-synonyomous SNP) decreased computation time and eliminated confounding by other loci relative to GWAS using randomly selected SNPs. Thirteen QTLs were finally detected, and two new major-effect genes, named OsML1 and OsML2, were identified by an integrated analysis. There were 2 and 7 non-synonymous SNPs in OsML1 and OsML2, respectively, from which 3 and 4 haplotypes were detected in cultivated rice. Combinations of superior haplotypes of OsML1 and OsML2 increased ML by up to 4 cm, representing high emergence rate (85%) in the field with 10 cm of soil cover. The studies provide key loci and naturally occurring alleles of ML that can be used in improving tolerance to dry direct-seeding. Frontiers Media S.A. 2018-03-16 /pmc/articles/PMC5864933/ /pubmed/29616055 http://dx.doi.org/10.3389/fpls.2018.00332 Text en Copyright © 2018 Zhao, Zhao, Jiang, Wang, Xiong, Todorovska, Yin, Chen, Wang, Xie, Pan, Rashid, Zhang, Li and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Zhao, Yan
Zhao, Weipeng
Jiang, Conghui
Wang, Xiaoning
Xiong, Huaiyang
Todorovska, Elena G.
Yin, Zhigang
Chen, Yanfa
Wang, Xin
Xie, Jianyin
Pan, Yinghua
Rashid, Muhammad A. R.
Zhang, Hongliang
Li, Jinjie
Li, Zichao
Genetic Architecture and Candidate Genes for Deep-Sowing Tolerance in Rice Revealed by Non-syn GWAS
title Genetic Architecture and Candidate Genes for Deep-Sowing Tolerance in Rice Revealed by Non-syn GWAS
title_full Genetic Architecture and Candidate Genes for Deep-Sowing Tolerance in Rice Revealed by Non-syn GWAS
title_fullStr Genetic Architecture and Candidate Genes for Deep-Sowing Tolerance in Rice Revealed by Non-syn GWAS
title_full_unstemmed Genetic Architecture and Candidate Genes for Deep-Sowing Tolerance in Rice Revealed by Non-syn GWAS
title_short Genetic Architecture and Candidate Genes for Deep-Sowing Tolerance in Rice Revealed by Non-syn GWAS
title_sort genetic architecture and candidate genes for deep-sowing tolerance in rice revealed by non-syn gwas
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5864933/
https://www.ncbi.nlm.nih.gov/pubmed/29616055
http://dx.doi.org/10.3389/fpls.2018.00332
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