Literature DB >> 31529523

Genetic basis of kernel nutritional traits during maize domestication and improvement.

Hui Fang1, Xiuyi Fu1,2, Yuebin Wang3, Jing Xu1, Haiying Feng1, Weiya Li1, Jieting Xu3, Orawan Jittham1, Xuan Zhang1, Lili Zhang1, Ning Yang3, Gen Xu1, Min Wang1, Xiaowei Li1, Jiansheng Li1, Jianbing Yan3, Xiaohong Yang1.   

Abstract

The nutritional traits of maize kernels are important for human and animal nutrition, and these traits have undergone selection to meet the diverse nutritional needs of humans. However, our knowledge of the genetic basis of selecting for kernel nutritional traits is limited. Here, we identified both single and epistatic quantitative trait loci (QTLs) that contributed to the differences of oil and carotenoid traits between maize and teosinte. Over half of teosinte alleles of single QTLs increased the values of the detected oil and carotenoid traits. Based on the pleiotropism or linkage information of the identified single QTLs, we constructed a trait-locus network to help clarify the genetic basis of correlations among oil and carotenoid traits. Furthermore, the selection features and evolutionary trajectories of the genes or loci underlying variations in oil and carotenoid traits revealed that these nutritional traits produced diverse selection events during maize domestication and improvement. To illustrate more, a mutator distance-relative transposable element (TE) in intron 1 of DXS2, which encoded a rate-limiting enzyme in the methylerythritol phosphate pathway, was identified to increase carotenoid biosynthesis by enhancing DXS2 expression. This TE occurs in the grass teosinte, and has been found to have undergone selection during maize domestication and improvement, and is almost fixed in yellow maize. Our findings not only provide important insights into evolutionary changes in nutritional traits, but also highlight the feasibility of reintroducing back into commercial agricultural germplasm those nutritionally important genes hidden in wild relatives.
© 2019 The Authors The Plant Journal © 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  Carotenoid; Domestication and improvement; Genetic basis; Oil; Selection

Mesh:

Substances:

Year:  2019        PMID: 31529523     DOI: 10.1111/tpj.14539

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  8 in total

1.  High-Throughput CRISPR/Cas9 Mutagenesis Streamlines Trait Gene Identification in Maize.

Authors:  Hai-Jun Liu; Liumei Jian; Jieting Xu; Qinghua Zhang; Maolin Zhang; Minliang Jin; Yong Peng; Jiali Yan; Baozhu Han; Jie Liu; Fan Gao; Xiangguo Liu; Lei Huang; Wenjie Wei; Yunxiu Ding; Xiaofeng Yang; Zhenxian Li; Mingliang Zhang; Jiamin Sun; Minji Bai; Wenhao Song; Hanmo Chen; Xi'ang Sun; Wenqiang Li; Yuming Lu; Ya Liu; Jiuran Zhao; Yangwen Qian; David Jackson; Alisdair R Fernie; Jianbing Yan
Journal:  Plant Cell       Date:  2020-02-25       Impact factor: 11.277

2.  The transcription factor bZIP68 negatively regulates cold tolerance in maize.

Authors:  Zhuoyang Li; Diyi Fu; Xi Wang; Rong Zeng; Xuan Zhang; Jinge Tian; Shuaisong Zhang; Xiaohong Yang; Feng Tian; Jinsheng Lai; Yiting Shi; Shuhua Yang
Journal:  Plant Cell       Date:  2022-07-30       Impact factor: 12.085

3.  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

4.  Eleven biosynthetic genes explain the majority of natural variation in carotenoid levels in maize grain.

Authors:  Christine H Diepenbrock; Daniel C Ilut; Maria Magallanes-Lundback; Catherine B Kandianis; Alexander E Lipka; Peter J Bradbury; James B Holland; John P Hamilton; Edmund Wooldridge; Brieanne Vaillancourt; Elsa G Ngora-Castillo; Jason G Wallace; Jason Cepela; Maria Mateos-Hernandez; Brenda F Owens; Tyler Tiede; Edward S Buckler; Torbert Rocheford; C Robin Buell; Michael A Gore; Dean DellaPenna
Journal:  Plant Cell       Date:  2021-05-31       Impact factor: 12.085

5.  Population genomics of Zea species identifies selection signatures during maize domestication and adaptation.

Authors:  Gen Xu; Xuan Zhang; Wenkang Chen; Renyu Zhang; Zhi Li; Weiwei Wen; Marilyn L Warburton; Jiansheng Li; Huihui Li; Xiaohong Yang
Journal:  BMC Plant Biol       Date:  2022-02-18       Impact factor: 4.215

6.  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

7.  Simultaneous dissection of grain carotenoid levels and kernel color in biparental maize populations with yellow-to-orange grain.

Authors:  Mary-Francis LaPorte; Mishi Vachev; Matthew Fenn; Christine Diepenbrock
Journal:  G3 (Bethesda)       Date:  2022-03-04       Impact factor: 3.154

Review 8.  The utility of metabolomics as a tool to inform maize biology.

Authors:  David B Medeiros; Yariv Brotman; Alisdair R Fernie
Journal:  Plant Commun       Date:  2021-04-21
  8 in total

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