Literature DB >> 25620769

Genomic, Transcriptomic, and Phenomic Variation Reveals the Complex Adaptation of Modern Maize Breeding.

Haijun Liu1, Xiaqing Wang1, Marilyn L Warburton2, Weiwei Wen1, Minliang Jin1, Min Deng1, Jie Liu1, Hao Tong1, Qingchun Pan1, Xiaohong Yang3, Jianbing Yan4.   

Abstract

The temperate-tropical division of early maize germplasms to different agricultural environments was arguably the greatest adaptation process associated with the success and near ubiquitous importance of global maize production. Deciphering this history is challenging, but new insight has been gained from examining 558 529 single nucleotide polymorphisms, expression data of 28 769 genes, and 662 traits collected from 368 diverse temperate and tropical maize inbred lines in this study. This is a new attempt to systematically exploit the mechanisms of the adaptation process in maize. Our results indicate that divergence between tropical and temperate lines apparently occurred 3400-6700 years ago. Seven hundred and one genomic selection signals and transcriptomic variants including 2700 differentially expressed individual genes and 389 rewired co-expression network genes were identified. These candidate signals were found to be functionally related to stress responses, and most were associated with directionally selected traits, which may have been an advantage under widely varying environmental conditions faced by maize as it was migrated away from its domestication center. Our study also clearly indicates that such stress adaptation could involve evolution of protein-coding sequences as well as transcriptome-level regulatory changes. The latter process may be a more flexible and dynamic way for maize to adapt to environmental changes along its short evolutionary history.
Copyright © 2015 The Author. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Zea mays; positive selection; regulatory evolution; temperate adaptation

Mesh:

Substances:

Year:  2015        PMID: 25620769     DOI: 10.1016/j.molp.2015.01.016

Source DB:  PubMed          Journal:  Mol Plant        ISSN: 1674-2052            Impact factor:   13.164


  28 in total

1.  Evolutionary Metabolomics Identifies Substantial Metabolic Divergence between Maize and Its Wild Ancestor, Teosinte.

Authors:  Guanghui Xu; Jingjing Cao; Xufeng Wang; Qiuyue Chen; Weiwei Jin; Zhen Li; Feng Tian
Journal:  Plant Cell       Date:  2019-06-21       Impact factor: 11.277

2.  Genome-wide selection and genetic improvement during modern maize breeding.

Authors:  Baobao Wang; Zechuan Lin; Xin Li; Yongping Zhao; Binbin Zhao; Guangxia Wu; Xiaojing Ma; Hai Wang; Yurong Xie; Quanquan Li; Guangshu Song; Dexin Kong; Zhigang Zheng; Hongbin Wei; Rongxin Shen; Hong Wu; Cuixia Chen; Zhaodong Meng; Tianyu Wang; Yu Li; Xinhai Li; Yanhui Chen; Jinsheng Lai; Matthew B Hufford; Jeffrey Ross-Ibarra; Hang He; Haiyang Wang
Journal:  Nat Genet       Date:  2020-04-27       Impact factor: 38.330

3.  Network and Evolutionary Analysis Reveals Candidate Genes of Membrane Trafficking Involved in Maize Seed Development and Immune Response.

Authors:  Chunyan Zheng; Yin Yu; Guiling Deng; Hanjie Li; Faqiang Li
Journal:  Front Plant Sci       Date:  2022-06-24       Impact factor: 6.627

4.  High-Throughput Phenotyping Accelerates the Dissection of the Phenotypic Variation and Genetic Architecture of Shank Vascular Bundles in Maize (Zea mays L.).

Authors:  Shangjing Guo; Guoliang Zhou; Jinglu Wang; Xianju Lu; Huan Zhao; Minggang Zhang; Xinyu Guo; Ying Zhang
Journal:  Plants (Basel)       Date:  2022-05-18

5.  High-depth resequencing of 312 accessions reveals the local adaptation of foxtail millet.

Authors:  Congcong Li; Genping Wang; Haiquan Li; Guoliang Wang; Jian Ma; Xin Zhao; Linhe Huo; Liquan Zhang; Yanmiao Jiang; Jiewei Zhang; Guiming Liu; Guoqing Liu; Ruhong Cheng; Jianhua Wei; Lei Yao
Journal:  Theor Appl Genet       Date:  2021-02-10       Impact factor: 5.699

6.  Characterization of Genome-Wide Variation in Four-Row Wax, a Waxy Maize Landrace with a Reduced Kernel Row Phenotype.

Authors:  Hanmei Liu; Xuewen Wang; Bin Wei; Yongbin Wang; Yinghong Liu; Junjie Zhang; Yufeng Hu; Guowu Yu; Jian Li; Zhanbin Xu; Yubi Huang
Journal:  Front Plant Sci       Date:  2016-05-18       Impact factor: 5.753

7.  Maize pan-transcriptome provides novel insights into genome complexity and quantitative trait variation.

Authors:  Minliang Jin; Haijun Liu; Cheng He; Junjie Fu; Yingjie Xiao; Yuebin Wang; Weibo Xie; Guoying Wang; Jianbing Yan
Journal:  Sci Rep       Date:  2016-01-05       Impact factor: 4.379

8.  Analysis of genetic differentiation and genomic variation to reveal potential regions of importance during maize improvement.

Authors:  Xun Wu; Yongxiang Li; Xin Li; Chunhui Li; Yunsu Shi; Yanchun Song; Zuping Zheng; Yu Li; Tianyu Wang
Journal:  BMC Plant Biol       Date:  2015-10-24       Impact factor: 4.215

9.  Genome-wide identification, structural analysis and new insights into late embryogenesis abundant (LEA) gene family formation pattern in Brassica napus.

Authors:  Yu Liang; Ziyi Xiong; Jianxiao Zheng; Dongyang Xu; Zeyang Zhu; Jun Xiang; Jianping Gan; Nadia Raboanatahiry; Yongtai Yin; Maoteng Li
Journal:  Sci Rep       Date:  2016-04-13       Impact factor: 4.379

10.  Genetic dissection of maize plant architecture with an ultra-high density bin map based on recombinant inbred lines.

Authors:  Zhiqiang Zhou; Chaoshu Zhang; Yu Zhou; Zhuanfang Hao; Zhenhua Wang; Xing Zeng; Hong Di; Mingshun Li; Degui Zhang; Hongjun Yong; Shihuang Zhang; Jianfeng Weng; Xinhai Li
Journal:  BMC Genomics       Date:  2016-03-03       Impact factor: 3.969

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