LIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France.
AGIR, Université de Toulouse, INRA, INPT, INP-EI PURPAN, Castanet-Tolosan, France.
Plant J. 2018 Feb;93(4):747-770. doi: 10.1111/tpj.13799. Epub 2018 Jan 22.
Despite the importance of plant-plant interactions on crop yield and plant community dynamics, our understanding of the genetic and molecular bases underlying natural variation of plant-plant interactions is largely limited in comparison with other types of biotic interactions. By listing 63 quantitative trait loci (QTL) mapping and global gene expression studies based on plants directly challenged by other plants, we explored whether the genetic architecture and the function of the candidate genes underlying natural plant-plant interactions depend on the type of interactions between two plants (competition versus commensalism versus reciprocal helping versus asymmetry). The 16 transcriptomic studies are unevenly distributed between competitive interactions (n = 12) and asymmetric interactions (n = 4, all focusing on response to parasitic plants). By contrast, 17 and 30 QTL studies were identified for competitive interactions and asymmetric interactions (either weed suppressive ability or response to parasitic plants), respectively. Surprisingly, no studies have been carried out on the identification of genetic and molecular bases underlying natural variation in positive interactions. The candidate genes underlying natural plant-plant interactions can be classified into seven categories of plant function that have been identified in artificial environments simulating plant-plant interactions either frequently (photosynthesis, hormones), only recently (cell wall modification and degradation, defense pathways against pathogens) or rarely (ABC transporters, histone modification and meristem identity/life history traits). Finally, we introduce several avenues that need to be explored in the future to obtain a thorough understanding of the genetic and molecular bases underlying plant-plant interactions within the context of realistic community complexity.
尽管植物-植物相互作用对作物产量和植物群落动态具有重要意义，但与其他类型的生物相互作用相比，我们对植物-植物相互作用自然变异的遗传和分子基础的理解在很大程度上受到限制。通过列出 63 个基于直接受到其他植物挑战的植物的数量性状位点（QTL）映射和全基因表达研究，我们探讨了自然植物-植物相互作用下候选基因的遗传结构和功能是否取决于两种植物之间相互作用的类型（竞争、共生、互惠帮助、不对称）。16 项转录组研究在竞争相互作用（n=12）和不对称相互作用（n=4，均集中于对寄生植物的响应）之间分布不均。相比之下，分别为竞争相互作用和不对称相互作用（杂草抑制能力或对寄生植物的响应）确定了 17 项和 30 项 QTL 研究。令人惊讶的是，没有研究致力于鉴定自然正向相互作用变异的遗传和分子基础。自然植物-植物相互作用下的候选基因可分为在人工环境中模拟植物-植物相互作用时经常涉及的（光合作用、激素）、最近才涉及的（细胞壁修饰和降解、防御病原体的途径）或很少涉及的（ABC 转运蛋白、组蛋白修饰和分生组织身份/生活史特征）七个植物功能类别。最后，我们介绍了未来需要探索的几个途径，以在真实群落复杂性的背景下，全面了解植物-植物相互作用的遗传和分子基础。
