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全基因组关联研究的特征向量为番茄代谢物的选择性育种提供了遗传见解。

Genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites.

机构信息

State Key Laborary of Agrobiotechnology, Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, College of Horticulture, China Agricultural University, Beijing, 100193, China.

College of Horticulture, China Agricultural University, Beijing, 100193, China.

出版信息

BMC Biol. 2022 May 24;20(1):120. doi: 10.1186/s12915-022-01327-x.

Abstract

BACKGROUND

Long-term domestication and intensive breeding of crop plants aim to establish traits desirable for human needs, and characteristics related to yield, disease resistance, and postharvest storage have traditionally received considerable attention. These processes have led also to negative consequences, as is the case of loss of variants controlling fruit quality, for instance in tomato. Tomato fruit quality is directly associated to metabolite content profiles; however, a full understanding of the genetics affecting metabolite content during tomato domestication and improvement has not been reached due to limitations of the single detection methods previously employed. Here, we aim to reach a broad understanding of changes in metabolite content using a genome-wide association study (GWAS) with eigenvector decomposition (EigenGWAS) on tomato accessions.

RESULTS

An EigenGWAS was performed on 331 tomato accessions using the first eigenvector generated from the genomic data as a "phenotype" to understand the changes in fruit metabolite content during breeding. Two independent gene sets were identified that affected fruit metabolites during domestication and improvement in consumer-preferred tomatoes. Furthermore, 57 candidate genes related to polyphenol and polyamine biosynthesis were discovered, and a major candidate gene chlorogenate: glucarate caffeoyltransferase (SlCGT) was identified, which affected the quality and diseases resistance of tomato fruit, revealing the domestication mechanism of polyphenols.

CONCLUSIONS

We identified gene sets that contributed to consumer liking during domestication and improvement of tomato. Our study reports novel evidence of selective sweeps and key metabolites controlled by multiple genes, increasing our understanding of the mechanisms of metabolites variation during those processes. It also supports a polygenic selection model for the application of tomato breeding.

摘要

背景

作物的长期驯化和密集选育旨在建立符合人类需求的特性,与产量、抗病性和采后贮藏相关的特征一直受到广泛关注。这些过程也带来了负面后果,例如控制果实品质的变体丧失,例如在番茄中。番茄果实品质与代谢物含量谱直接相关;然而,由于之前采用的单一检测方法的限制,对影响番茄驯化和改良过程中代谢物含量的遗传因素还没有全面的了解。在这里,我们旨在通过使用基于特征向量分解(EigenGWAS)的全基因组关联研究(GWAS)来广泛了解代谢物含量的变化,该方法使用基因组数据的第一特征向量作为“表型”。

结果

对 331 个番茄品种进行了 EigenGWAS 分析,使用从基因组数据中生成的第一个特征向量作为“表型”,以了解在选育过程中果实代谢物含量的变化。确定了两个独立的基因集,它们影响了消费者偏好的番茄驯化和改良过程中的果实代谢物。此外,还发现了 57 个与多酚和多胺生物合成相关的候选基因,鉴定出一个主要的候选基因——咖啡酰奎宁酸:葡萄糖醛酸转移酶(SlCGT),它影响番茄果实的品质和抗病性,揭示了多酚的驯化机制。

结论

我们确定了在番茄驯化和改良过程中有助于消费者喜好的基因集。我们的研究报告了选择清除和受多个基因控制的关键代谢物的新证据,增加了我们对这些过程中代谢物变异机制的理解。它还支持了一个多基因选择模型,用于番茄的选育。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace3/9128223/c45c89bfaae9/12915_2022_1327_Fig1_HTML.jpg

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