Simulation of heterosis in a genome-scale metabolic network provides mechanistic explanations for increased biomass production rates in hybrid plants.,npj Systems Biology and Applications

当前位置： X-MOL 学术 › npj Syst. Biol. Appl. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Simulation of heterosis in a genome-scale metabolic network provides mechanistic explanations for increased biomass production rates in hybrid plants.
npj Systems Biology and Applications ( IF 3.5 ) Pub Date : 2019-07-18 , DOI: 10.1038/s41540-019-0101-8
Michael Vacher _{1,

2} , Ian Small ₁

Affiliation

Heterosis, or hybrid vigour, is said to occur when F1 individuals exhibit increased performance for a number of traits compared to their parental lines. Improved traits can include increased size, better yield, faster development and a higher tolerance to pathogens or adverse conditions. The molecular basis for the phenomenon remains disputed, despite many decades of theorising and experimentation. In this study, we add a genetics layer to a constraint-based model of plant (Arabidopsis) primary metabolism and show that we can realistically reproduce and quantify heterosis in a highly complex trait (the rate of biomass production). The results demonstrate that additive effects coupled to the complex patterns of epistasis generated by a large metabolic network are sufficient to explain most or all the heterosis seen in typical F1 hybrids. Such models provide a simple approach to exploring and understanding heterosis and should assist in designing breeding strategies to exploit this phenomenon in the future.

中文翻译：

基因组规模代谢网络中杂种优势的模拟为杂交植物中生物量生产率的增加提供了机制解释。

据说，当 F1 个体与其亲本系相比，在许多性状方面表现出更高的性能时，就会出现杂种优势或杂种优势。改良的性状包括增加尺寸、提高产量、加快发育以及对病原体或不利条件具有更高的耐受性。尽管经过数十年的理论和实验，这种现象的分子基础仍然存在争议。在这项研究中，我们在基于约束的植物（拟南芥）初级代谢模型中添加了遗传学层，并表明我们可以真实地再现和量化高度复杂性状（生物量生产率）的杂种优势。结果表明，与大型代谢网络产生的复杂上位性模式相结合的加性效应足以解释典型 F1 杂种中所见的大部分或全部杂种优势。这些模型提供了一种探索和理解杂种优势的简单方法，并且应该有助于设计育种策略以在未来利用这种现象。

更新日期：2019-07-18

点击分享查看原文

点击收藏

公开下载

阅读更多本刊最新论文