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  Large-scale metabolite quantitative trait locus analysis provides new insights for high-quality maize improvement

Li, K., Wen, W., Alseekh, S., Yang, X., Guo, H., Li, W., et al. (2019). Large-scale metabolite quantitative trait locus analysis provides new insights for high-quality maize improvement. The Plant Journal, 99(2), 216-230. doi:10.1111/tpj.14317.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-5023-A Version Permalink: http://hdl.handle.net/21.11116/0000-0004-5024-9
Genre: Journal Article
Alternative Title : The Plant Journal

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 Creators:
Li, Kun1, Author
Wen, W.2, Author              
Alseekh, S.3, Author              
Yang, Xiaohong1, Author
Guo, Huan1, Author
Li, Wenqiang1, Author
Wang, Luxi1, Author
Pan, Qingchun1, Author
Zhan, Wei1, Author
Liu, Jie1, Author
Li, Yanhua1, Author
Wu, Xiao1, Author
Brotman, Yariv1, Author
Willmitzer, Lothar1, Author
Li, Jiansheng1, Author
Fernie, A. R.3, Author              
Yan, Jianbing1, Author
Affiliations:
1external, ou_persistent22              
2Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753340              
3Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339              

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Free keywords: maize, teosinte, primary metabolism, genetic basis, quantitative trait locus
 Abstract: Summary It is generally recognized that many favorable genes which were lost during domestication, including those related to both nutritional value and stress resistance, remain hidden in wild relatives. To uncover such genes in teosinte, an ancestor of maize, we conducted metabolite profiling in a BC2F7 population generated from a cross between the maize wild relative (Zea mays ssp. mexicana) and maize inbred line Mo17. In total, 65 primary metabolites were quantified in four tissues (seedling-stage leaf, grouting-stage leaf, young kernel and mature kernel) with clear tissue-specific patterns emerging. Three hundred and fifty quantitative trait loci (QTLs) for these metabolites were obtained, which were distributed unevenly across the genome and included two QTL hotspots. Metabolite concentrations frequently increased in the presence of alleles from the teosinte genome while the opposite was observed for grain yield and shape trait QTLs. Combination of the multi-tissue transcriptome and metabolome data provided considerable insight into the metabolic variations between maize and its wild relatives. This study thus identifies favorable genes hidden in the wild relative which should allow us to balance high yield and quality in future modern crop breeding programs.

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Language(s): eng - English
 Dates: 2019-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1111/tpj.14317
 Degree: -

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Title: The Plant Journal
  Alternative Title : Plant J
Source Genre: Journal
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Publ. Info: John Wiley & Sons, Ltd (10.1111)
Pages: - Volume / Issue: 99 (2) Sequence Number: - Start / End Page: 216 - 230 Identifier: ISBN: 0960-7412

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Title: The Plant Journal
  Other : Plant J.
Source Genre: Journal
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Publ. Info: Oxford : Blackwell Science
Pages: - Volume / Issue: 99 (2) Sequence Number: - Start / End Page: 216 - 230 Identifier: ISSN: 0960-7412
CoNE: https://pure.mpg.de/cone/journals/resource/954925579095_1