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基因组-代谢物关联揭示了冬小麦(普通小麦)叶片代谢物的低遗传力、高遗传复杂性和因果关系。

Genome-metabolite associations revealed low heritability, high genetic complexity, and causal relations for leaf metabolites in winter wheat (Triticum aestivum).

作者信息

Matros Andrea, Liu Guozheng, Hartmann Anja, Jiang Yong, Zhao Yusheng, Wang Huange, Ebmeyer Erhard, Korzun Viktor, Schachschneider Ralf, Kazman Ebrahim, Schacht Johannes, Longin Friedrich, Reif Jochen Christoph, Mock Hans-Peter

机构信息

Department of Physiology and Cell Biology, Applied Biochemistry, Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.

Department of Breeding Research, Quantitative Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.

出版信息

J Exp Bot. 2017 Jan 1;68(3):415-428. doi: 10.1093/jxb/erw441.

Abstract

We investigated associations between the metabolic phenotype, consisting of quantitative data of 76 metabolites from 135 contrasting winter wheat (Triticum aestivum) lines, and 17 372 single nucleotide polymorphism (SNP) markers. Metabolite profiles were generated from flag leaves of plants from three different environments, with average repeatabilities of 0.5-0.6. The average heritability of 0.25 was unaffected by the heading date. Correlations among metabolites reflected their functional grouping, highlighting the strict coordination of various routes of the citric acid cycle. Genome-wide association studies identified significant associations for six metabolic traits, namely oxalic acid, ornithine, L-arginine, pentose alcohol III, L-tyrosine, and a sugar oligomer (oligo II), with between one and 17 associated SNPs. Notable associations with genes regulating transcription or translation explained between 2.8% and 32.5% of the genotypic variance (pG). Further candidate genes comprised metabolite carriers (pG 32.5-38.1%), regulatory proteins (pG 0.3-11.1%), and metabolic enzymes (pG 2.5-32.5%). The combinatorial use of genomic and metabolic data to construct partially directed networks revealed causal inferences in the correlated metabolite traits and associated SNPs. The evaluated causal relationships will provide a basis for predicting the effects of genetic interferences on groups of correlated metabolic traits, and thus on specific metabolic phenotypes.

摘要

我们研究了由135个对比鲜明的冬小麦(Triticum aestivum)品系的76种代谢物定量数据组成的代谢表型与17372个单核苷酸多态性(SNP)标记之间的关联。代谢物谱由来自三种不同环境的植物旗叶生成,平均重复性为0.5 - 0.6。平均遗传力为0.25,不受抽穗期影响。代谢物之间的相关性反映了它们的功能分组,突出了柠檬酸循环各途径的严格协调。全基因组关联研究确定了六种代谢性状的显著关联,即草酸、鸟氨酸、L - 精氨酸、戊糖醇III、L - 酪氨酸和一种糖寡聚物(寡聚物II),相关SNP数量在1到17个之间。与调节转录或翻译的基因的显著关联解释了2.8%至32.5%的基因型变异(pG)。其他候选基因包括代谢物载体(pG 32.5 - 38.1%)、调节蛋白(pG 0.3 - 11.1%)和代谢酶(pG 2.5 - 32.5%)。结合基因组和代谢数据构建部分定向网络揭示了相关代谢物性状和相关SNP之间的因果推断。评估的因果关系将为预测遗传干扰对相关代谢性状组以及特定代谢表型的影响提供基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f194/5441906/e4064679bc7e/erw44101.jpg

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