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豆科植物-根瘤菌转录组的协同进化遗传变异。

Coevolutionary genetic variation in the legume-rhizobium transcriptome.

机构信息

Department of Plant Biology, University of Illinois, 250 Morrill Hall, 505 S. Goodwin Ave., Urbana, IL 61801, USA.

出版信息

Mol Ecol. 2012 Oct;21(19):4735-47. doi: 10.1111/j.1365-294X.2012.05629.x. Epub 2012 Jun 7.

Abstract

Coevolutionary change requires reciprocal selection between interacting species, where the partner genotypes that are favoured in one species depend on the genetic composition of the interacting species. Coevolutionary genetic variation is manifested as genotype × genotype (G × G) interactions for fitness in interspecific interactions. Although quantitative genetic approaches have revealed abundant evidence for G × G interactions in symbioses, the molecular basis of this variation remains unclear. Here we study the molecular basis of G × G interactions in a model legume-rhizobium mutualism using gene expression microarrays. We find that, like quantitative traits such as fitness, variation in the symbiotic transcriptome may be partitioned into additive and interactive genetic components. Our results suggest that plant genetic variation had the largest influence on nodule gene expression and that plant genotype and the plant genotype × rhizobium genotype interaction determine global shifts in rhizobium gene expression that in turn feedback to influence plant fitness benefits. Moreover, the transcriptomic variation we uncover implicates regulatory changes in both species as drivers of symbiotic gene expression variation. Our study is the first to partition genetic variation in a symbiotic transcriptome and illuminates potential molecular routes of coevolutionary change.

摘要

协同进化变化需要相互作用的物种之间的相互选择,其中在一个物种中受到青睐的伙伴基因型取决于相互作用的物种的遗传组成。协同进化的遗传变异表现为种间相互作用中适合度的基因型×基因型(G×G)相互作用。尽管定量遗传方法已经揭示了共生关系中大量 G×G 相互作用的证据,但这种变异的分子基础仍不清楚。在这里,我们使用基因表达微阵列研究了模型豆科植物-根瘤菌共生关系中 G×G 相互作用的分子基础。我们发现,与适合度等定量特征一样,共生转录组的变异可能被分为加性和互作遗传成分。我们的结果表明,植物遗传变异对根瘤菌基因表达的影响最大,植物基因型和植物基因型×根瘤菌基因型相互作用决定了根瘤菌基因表达的全局变化,进而反馈影响植物的适应利益。此外,我们揭示的转录组变异暗示了两个物种的调控变化是共生基因表达变异的驱动因素。我们的研究首次对共生转录组中的遗传变异进行了划分,并阐明了协同进化变化的潜在分子途径。

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