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在早播条件下对 30 个玉米杂交种进行代谢分型,揭示了用于育种的潜在标记代谢物。

Metabotyping of 30 maize hybrids under early-sowing conditions reveals potential marker-metabolites for breeding.

机构信息

UMR1332 Biologie du Fruit et Pathologie, INRA, Univ. Bordeaux, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France.

Plateforme Métabolome du Centre de Génomique Fonctionnelle Bordeaux, MetaboHUB, IBVM, Centre INRA de Nouvelle Aquitaine - Bordeaux, 71 av Edouard Bourlaux, 33140, Villenave d'Ornon, France.

出版信息

Metabolomics. 2018 Sep 26;14(10):132. doi: 10.1007/s11306-018-1427-8.

Abstract

INTRODUCTION

In Northern Europe, maize early-sowing used to maximize yield may lead to moderate damages of seedlings due to chilling without visual phenotypes. Genetic studies and breeding for chilling tolerance remain necessary, and metabolic markers would be particularly useful in this context.

OBJECTIVES

Using an untargeted metabolomic approach on a collection of maize hybrids, our aim was to identify metabolite signatures and/or metabolites associated with chilling responses at the vegetative stage, to search for metabolites differentiating groups of hybrids based on silage-earliness, and to search for marker-metabolites correlated with aerial biomass.

METHODS

Thirty genetically-diverse maize dent inbred-lines (Zea mays) crossed to a flint inbred-line were sown in a field to assess metabolite profiles upon cold treatment induced by a modification of sowing date, and characterized with climatic measurements and phenotyping.

RESULTS

NMR- and LC-MS-based metabolomic profiling revealed the biological variation of primary and specialized metabolites in young leaves of plants before flowering-stage. The effect of early-sowing on leaf composition was larger than that of genotype, and several metabolites were associated to sowing response. The metabolic distances between genotypes based on leaf compositional data were not related to the genotype admixture groups, and their variability was lower under early-sowing than normal-sowing. Several metabolites or metabolite-features were related to silage-earliness groups in the normal-sowing condition, some of which were confirmed the following year. Correlation networks involving metabolites and aerial biomass suggested marker-metabolites for breeding for chilling tolerance.

CONCLUSION

After validation in other experiments and larger genotype panels, these marker-metabolites can contribute to breeding.

摘要

简介

在北欧,为了最大化产量而进行的玉米早期播种可能会导致幼苗因低温而受到中等程度的伤害,但没有明显的表型。因此,仍然有必要进行耐冷性的遗传研究和选育,而代谢标志物在这方面将特别有用。

目的

本研究采用非靶向代谢组学方法对玉米杂交种进行研究,旨在鉴定与营养生长阶段低温响应相关的代谢物特征和/或代谢物,寻找基于青贮早收特性区分杂交种群体的代谢物,以及寻找与地上生物量相关的标记代谢物。

方法

30 个遗传多样性的马齿型玉米自交系(Zea mays)与一个硬质玉米自交系杂交,播种于大田,通过改变播种日期来模拟低温处理,结合气候测量和表型分析,评估冷处理对幼苗代谢物的影响。

结果

NMR 和 LC-MS 代谢组学分析揭示了未开花期幼叶中初级和特殊代谢物的生物变异。早期播种对叶片组成的影响大于基因型的影响,并且有几个代谢物与播种响应相关。基于叶片组成数据的基因型间的代谢距离与基因型混合群体无关,并且在早期播种下的变异性低于正常播种。在正常播种条件下,一些与青贮早收特性相关的代谢物或代谢物特征,在次年得到了验证。涉及代谢物和地上生物量的关联网络提示了一些标记代谢物,可用于选育耐冷性品种。

结论

在其他实验和更大的基因型群体中验证后,这些标记代谢物可以为选育提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73bf/6208756/ae4d9a4515b0/11306_2018_1427_Fig1_HTML.jpg

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