Literature DB >> 26720856

Genome-wide recombination dynamics are associated with phenotypic variation in maize.

Qingchun Pan1, Lin Li1,2, Xiaohong Yang3, Hao Tong1, Shutu Xu3, Zhigang Li3, Weiya Li3, Gary J Muehlbauer2,4, Jiansheng Li3, Jianbing Yan1.   

Abstract

Meiotic recombination is a major driver of genetic diversity, species evolution, and agricultural improvement. Thus, an understanding of the genetic recombination landscape across the maize (Zea mays) genome will provide insight and tools for further study of maize evolution and improvement. Here, we used c. 50 000 single nucleotide polymorphisms to precisely map recombination events in 12 artificial maize segregating populations. We observed substantial variation in the recombination frequency and distribution along the ten maize chromosomes among the 12 populations and identified 143 recombination hot regions. Recombination breakpoints were partitioned into intragenic and intergenic events. Interestingly, an increase in the number of genes containing recombination events was accompanied by a decrease in the number of recombination events per gene. This kept the overall number of intragenic recombination events nearly invariable in a given population, suggesting that the recombination variation observed among populations was largely attributed to intergenic recombination. However, significant associations between intragenic recombination events and variation in gene expression and agronomic traits were observed, suggesting potential roles for intragenic recombination in plant phenotypic diversity. Our results provide a comprehensive view of the maize recombination landscape, and show an association between recombination, gene expression and phenotypic variation, which may enhance crop genetic improvement.
© 2015 The Authors. New Phytologist © 2015 New Phytologist Trust.

Entities:  

Keywords:  intergenic recombination; intragenic recombination; maize (Zea mays); phenotypic variation; recombination

Mesh:

Year:  2015        PMID: 26720856     DOI: 10.1111/nph.13810

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  34 in total

1.  High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth.

Authors:  Xuehai Zhang; Chenglong Huang; Di Wu; Feng Qiao; Wenqiang Li; Lingfeng Duan; Ke Wang; Yingjie Xiao; Guoxing Chen; Qian Liu; Lizhong Xiong; Wanneng Yang; Jianbing Yan
Journal:  Plant Physiol       Date:  2017-01-30       Impact factor: 8.340

2.  Multi-environment QTL analysis of grain morphology traits and fine mapping of a kernel-width QTL in Zheng58 × SK maize population.

Authors:  Mohammad Sharif Raihan; Jie Liu; Juan Huang; Huan Guo; Qingchun Pan; Jianbing Yan
Journal:  Theor Appl Genet       Date:  2016-05-06       Impact factor: 5.699

3.  The Genetic Basis of Plant Architecture in 10 Maize Recombinant Inbred Line Populations.

Authors:  Qingchun Pan; Yuancheng Xu; Kun Li; Yong Peng; Wei Zhan; Wenqiang Li; Lin Li; Jianbing Yan
Journal:  Plant Physiol       Date:  2017-08-24       Impact factor: 8.340

4.  The Conserved and Unique Genetic Architecture of Kernel Size and Weight in Maize and Rice.

Authors:  Jie Liu; Juan Huang; Huan Guo; Liu Lan; Hongze Wang; Yuancheng Xu; Xiaohong Yang; Wenqiang Li; Hao Tong; Yingjie Xiao; Qingchun Pan; Feng Qiao; Mohammad Sharif Raihan; Haijun Liu; Xuehai Zhang; Ning Yang; Xiaqing Wang; Min Deng; Minliang Jin; Lijun Zhao; Xin Luo; Yang Zhou; Xiang Li; Wei Zhan; Nannan Liu; Hong Wang; Gengshen Chen; Qing Li; Jianbing Yan
Journal:  Plant Physiol       Date:  2017-08-15       Impact factor: 8.340

5.  Diversity and determinants of recombination landscapes in flowering plants.

Authors:  Thomas Brazier; Sylvain Glémin
Journal:  PLoS Genet       Date:  2022-08-30       Impact factor: 6.020

6.  Accurate recombination estimation from pooled genotyping and sequencing: a case study on barley.

Authors:  Michael Schneider; Federico Casale; Benjamin Stich
Journal:  BMC Genomics       Date:  2022-06-25       Impact factor: 4.547

7.  Linkage mapping combined with association analysis reveals QTL and candidate genes for three husk traits in maize.

Authors:  Zhenhai Cui; Aiai Xia; Ao Zhang; Jinhong Luo; Xiaohong Yang; Lijun Zhang; Yanye Ruan; Yan He
Journal:  Theor Appl Genet       Date:  2018-07-24       Impact factor: 5.699

8.  Dissecting the genetics of cold tolerance in a multiparental maize population.

Authors:  Q Yi; R A Malvar; L Álvarez-Iglesias; B Ordás; Pedro Revilla
Journal:  Theor Appl Genet       Date:  2019-11-18       Impact factor: 5.699

9.  Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population.

Authors:  Xiaolei Zhang; Ming Lu; Aiai Xia; Tao Xu; Zhenhai Cui; Ruiying Zhang; Wenguo Liu; Yan He
Journal:  BMC Genomics       Date:  2021-05-26       Impact factor: 3.969

10.  Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population.

Authors:  Hui Fang; Xiuyi Fu; Hanqiu Ge; Aixia Zhang; Tingyu Shan; Yuandong Wang; Ping Li; Baohua Wang
Journal:  BMC Plant Biol       Date:  2021-07-21       Impact factor: 4.215

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