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The Mechanism of Metabolite Changes in Tomato Breeding by a Multi-Omics Approach

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  • 1Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
    2University of the Chinese Academy of Sciences, Beijing 100049, China

† These authors contributed equally to this paper

Received date: 2018-03-02

  Accepted date: 2018-05-01

  Online published: 2018-11-29

Abstract

Domestication, improvement, divergence and introgression are the major stages in the history of tomato breeding. During this period, both fruit weight and quality of tomato were significantly changed; however, the variation in metabolites and the genetic basis remain unknown. Recently, researchers revealed the metabolome changes in tomato breeding by using a multi-omics dataset. The content of 46 steroidal glycoalkaloids (SGAs) declined during tomato domestication, and 7 major loci were identified for 44 of 46 compounds. Pyramiding of these high-value loci significantly reduced the SGAs content. The linkage drag of fruit weight genes and nearby genes might result from altered metabolite profiles during the selection for larger fruits, and the selection for one trait might affect other traits. This work systematically analyzed the effects of selection on crop metabolites by a multi-omics approach, which lays the foundation for tomato quality improvement.

Key words: metabolites; multi-omics; tomato

Cite this article

Ma Aimin, Qi Xiaoquan . The Mechanism of Metabolite Changes in Tomato Breeding by a Multi-Omics Approach[J]. Chinese Bulletin of Botany, 2018 , 53(5) : 578 -580 . DOI: 10.11983/CBB18052

References

1 漆小泉, 王玉兰, 陈晓亚 (2011). 植物代谢组学: 方法与应用. 北京: 化学工业出版社. pp. 13-18.
2 Fernie AR, Trethewey RN, Krotzky AJ, Willmitzer L (2004). Metabolite profiling: from diagnostics to systems biology.Nat Rev Mol Cell Biol 5, 763-769.
3 Fiehn O (2002). Metabolomics—the link between genotypes and phenotypes.Plant Mol Biol 48, 155-171.
4 Fiehn O, Kopka J, Dörmann P, Altmann T, Trethewey RN, Willmitzer L (2000). Metabolite profiling for plant functional genomics.Nat Biotechnol 18, 1157-1161.
5 Keurentjes JJB, Fu JY, De Vos CHR, Lommen A, Hall RD, Bino RJ, Van Der Plas LHW, Jansen RC, Vreugdenhil D, Koornneef M (2006). The genetics of plant metabolism.Nat Genet 38, 842-849.
6 Lin T, Zhu GT, Zhang JH, Xu XY, Yu QH, Zheng Z, Zhang ZH, Lun YY, Li S, Wang XX, Huang ZJ, Li JM, Zhang CZ, Wang TT, Zhang YY, Wang AX, Zhang YC, Lin K, Li CY, Xiong GS, Xue YB, Mazzucato A, Causse M, Fei ZJ, Giovannoni JJ, Chetelat RT, Zamir D, Städler T, Li JF, Ye ZB, Du YC, Huang SW (2014). Genomic analyses provide insights into the history of tomato breeding.Nat Genet 46, 1220-1226.
7 Schauer N, Semel Y, Balbo I, Steinfath M, Repsilber D, Selbig J, Pleban T, Zamir D, Fernie AR (2008). Mode of inheritance of primary metabolic traits in tomato.Plant Cell 20, 509-523.
8 Tarpley L, Duran AL, Kebrom TH, Sumner LW (2005). Biomarker metabolites capturing the metabolite variance present in a rice plant developmental period.BMC Plant Biol 5, 8.
9 Vincent H, Wiersema J, Kell S, Fielder H, Dobbie S, Castañeda-Álvarez NP, Guarino L, Eastwood R, Leόn B, Maxted N (2013). A prioritized crop wild relative inventory to help underpin global food security.Biol Conserv 167, 265-275.
10 Zhu GT, Wang SC, Huang ZJ, Zhang SB, Liao QG, Zhang CZ, Lin T, Qin M, Peng M, Yang CK, Cao X, Han X, Wang XX, van Der Knaap E, Zhang ZH, Cui X, Klee H, Fernie AR, Luo J, Huang SW (2018). Rewiring of the fruit metabolome in tomato breeding.Cell 172, 249-261.
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