Literature DB >> 24668487

Genetic diversity and association mapping of seed vigor in rice (Oryza sativa L.).

Xiaojing Dang1, Thu Giang Tran Thi, Guanshan Dong, Hui Wang, Wisdom Mawuli Edzesi, Delin Hong.   

Abstract

Seed vigor is closely related to direct seeding in rice (Oryza sativa L.). Previous quantitative trait locus (QTL) studies for seed vigor were mainly derived from bi-parental segregating populations and no report from natural populations. In this study, association mapping for seed vigor was performed on a selected sample of 540 rice cultivars (419 from China and 121 from Vietnam). Population structure was estimated on the basis of 262 simple sequence repeat (SSR) markers. Seed vigor was evaluated by root length (RL), shoot length (SL) and shoot dry weight in 2011 and 2012. Abundant phenotypic and genetic diversities were found in the studied population. The population was divided into seven subpopulations, and the levels of linkage disequilibrium (LD) ranged from 10 to 80 cM. We identified 27 marker-trait associations involving 18 SSR markers for three traits. According to phenotypic effects for alleles of the detected QTLs, elite alleles were mined. These elite alleles could be used to design parental combinations and the expected results would be obtained by pyramiding or substituting the elite alleles per QTL (apart from possible epistatic effects). Our results demonstrate that association mapping can complement and enhance previous QTL information for marker-assisted selection and breeding by design.

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Year:  2014        PMID: 24668487     DOI: 10.1007/s00425-014-2060-z

Source DB:  PubMed          Journal:  Planta        ISSN: 0032-0935            Impact factor:   4.116


  44 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

Review 2.  Estimating F-statistics.

Authors:  B S Weir; W G Hill
Journal:  Annu Rev Genet       Date:  2002-06-11       Impact factor: 16.830

Review 3.  Structure of linkage disequilibrium in plants.

Authors:  Sherry A Flint-Garcia; Jeffry M Thornsberry; Edward S Buckler
Journal:  Annu Rev Plant Biol       Date:  2003       Impact factor: 26.379

4.  Genome-wide association studies of 14 agronomic traits in rice landraces.

Authors:  Xuehui Huang; Xinghua Wei; Tao Sang; Qiang Zhao; Qi Feng; Yan Zhao; Canyang Li; Chuanrang Zhu; Tingting Lu; Zhiwu Zhang; Meng Li; Danlin Fan; Yunli Guo; Ahong Wang; Lu Wang; Liuwei Deng; Wenjun Li; Yiqi Lu; Qijun Weng; Kunyan Liu; Tao Huang; Taoying Zhou; Yufeng Jing; Wei Li; Zhang Lin; Edward S Buckler; Qian Qian; Qi-Fa Zhang; Jiayang Li; Bin Han
Journal:  Nat Genet       Date:  2010-10-24       Impact factor: 38.330

Review 5.  Genetic association mapping and genome organization of maize.

Authors:  Jianming Yu; Edward S Buckler
Journal:  Curr Opin Biotechnol       Date:  2006-02-28       Impact factor: 9.740

6.  Identification of candidate markers associated with agronomic traits in rice using discriminant analysis.

Authors:  N Zhang; Y Xu; M Akash; S McCouch; J H Oard
Journal:  Theor Appl Genet       Date:  2005-01-28       Impact factor: 5.699

7.  Comparison of QTL controlling seedling vigour under different temperature conditions using recombinant inbred lines in rice (Oryza sativa).

Authors:  Zhi-Hong Zhang; Xin-Shun Qu; Shan Wan; Li-Hua Chen; Ying-Guo Zhu
Journal:  Ann Bot       Date:  2004-12-01       Impact factor: 4.357

8.  Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross.

Authors:  J Xiao; J Li; L Yuan; S D Tanksley
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

9.  An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations.

Authors:  Vincent Segura; Bjarni J Vilhjálmsson; Alexander Platt; Arthur Korte; Ümit Seren; Quan Long; Magnus Nordborg
Journal:  Nat Genet       Date:  2012-06-17       Impact factor: 38.330

10.  Association mapping for yield and grain quality traits in rice (Oryza sativa L.).

Authors:  Tereza Cristina de Oliveira Borba; Rosana Pereira Vianello Brondani; Flávio Breseghello; Alexandre Siqueira Guedes Coelho; João Antônio Mendonça; Paulo Hideo Nakano Rangel; Claudio Brondani
Journal:  Genet Mol Biol       Date:  2010-09-01       Impact factor: 1.771

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  31 in total

1.  Genetic diversity and population structure of Cucumis sativus L. by using SSR markers.

Authors:  Aejaz Ahmad Dar; Reetika Mahajan; Padma Lay; Susheel Sharma
Journal:  3 Biotech       Date:  2017-09-12       Impact factor: 2.406

Review 2.  Early seedling vigour, an imperative trait for direct-seeded rice: an overview on physio-morphological parameters and molecular markers.

Authors:  A Mahender; A Anandan; S K Pradhan
Journal:  Planta       Date:  2015-03-25       Impact factor: 4.116

3.  Genetic analysis of root morphological traits in wheat.

Authors:  Maria Petrarulo; Daniela Marone; Pina Ferragonio; Luigi Cattivelli; Diego Rubiales; Pasquale De Vita; Anna Maria Mastrangelo
Journal:  Mol Genet Genomics       Date:  2014-11-22       Impact factor: 3.291

4.  Drying temperature affects rice seed vigor via gibberellin, abscisic acid, and antioxidant enzyme metabolism.

Authors:  Yu-Tao Huang; Wei Wu; Wen-Xiong Zou; Hua-Ping Wu; Dong-Dong Cao
Journal:  J Zhejiang Univ Sci B       Date:  2020 Oct.       Impact factor: 3.066

5.  Genetic variation and association mapping of waterlogging tolerance in chrysanthemum.

Authors:  Jiangshuo Su; Fei Zhang; Pirui Li; Zhiyong Guan; Weimin Fang; Fadi Chen
Journal:  Planta       Date:  2016-08-13       Impact factor: 4.116

6.  Population genetic structure of Oryza sativa in East and Southeast Asia and the discovery of elite alleles for grain traits.

Authors:  Xiaojing Dang; Thu Giang Tran Thi; Wisdom Mawuli Edzesi; Lijun Liang; Qiangming Liu; Erbao Liu; Yang Wang; Sheng Qiang; Linglong Liu; Delin Hong
Journal:  Sci Rep       Date:  2015-06-10       Impact factor: 4.379

7.  Time-course association mapping of the grain-filling rate in rice (Oryza sativa L.).

Authors:  Erbao Liu; Xiaoli Liu; Siyuan Zeng; Kaiming Zhao; Changfeng Zhu; Yang Liu; Manamik Caleb Breria; Baojuan Zhang; Delin Hong
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

8.  QTL Detection and Elite Alleles Mining for Stigma Traits in Oryza sativa by Association Mapping.

Authors:  Xiaojing Dang; Erbao Liu; Yinfeng Liang; Qiangming Liu; Caleb M Breria; Delin Hong
Journal:  Front Plant Sci       Date:  2016-08-09       Impact factor: 5.753

Review 9.  Association Analysis in Rice: From Application to Utilization.

Authors:  Peng Zhang; Kaizhen Zhong; Muhammad Qasim Shahid; Hanhua Tong
Journal:  Front Plant Sci       Date:  2016-08-17       Impact factor: 5.753

10.  Mining of favorable alleles for lodging resistance traits in rice (oryza sativa) through association mapping.

Authors:  Ognigamal Sowadan; Dalu Li; Yuanqing Zhang; Shangshang Zhu; Xiaoxiao Hu; Lal Bux Bhanbhro; Wisdom M Edzesi; Xiaojing Dang; Delin Hong
Journal:  Planta       Date:  2018-04-10       Impact factor: 4.116

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