Barbour Matthew A, Pérez-López Cintia Beatriz
Département de biologie, Faculté des Sciences, Université de Sherbrooke, 2500 boul. de l'Université, Sherbrooke J1K 2R1, Canada.
Plant Cell Physiol. 2025 May 17;66(4):506-513. doi: 10.1093/pcp/pcaf015.
Plant genetic variation can play a key role in shaping ecological communities. Prior work investigated the effects of coarse-grain variation among plant genotypes on their diverse arthropod communities. Several recent studies, however, have leveraged the boom of genomic resources to study how genome-wide plant variation influences associated communities. These studies have demonstrated that the effects of plant genomic variation are not just detectable but can be important drivers of arthropod communities in natural ecosystems. Field common gardens and lab-based mesocosm experiments are also revealing candidate genes that have large effects on arthropod communities. While we highlight these exciting results, we also discuss key challenges to address in future research. We argue that a major hurdle lies in the integration of genomic tools with hierarchical models of species communities (HMSCs). HMSCs are generative models that provide the opportunity to not only better understand the processes underlying community change but to also predict community dynamics. We also advocate for future research to apply models of genomic prediction to explore the genetic architecture of arthropod community phenotypes. We hypothesize that this genetic architecture will follow an exponential distribution, where a few genes of large effect, but also many genes of small effect, contribute to variation in arthropod communities. The next generation of studies linking plant genes to community dynamics will require interdisciplinary collaborations to build truly predictive models of plant genetic and arthropod community change.
植物遗传变异在塑造生态群落方面可能发挥关键作用。先前的研究调查了植物基因型之间粗粒度变异对其多样节肢动物群落的影响。然而,最近的几项研究利用基因组资源的蓬勃发展来研究全基因组植物变异如何影响相关群落。这些研究表明,植物基因组变异的影响不仅可以检测到,而且可能是自然生态系统中节肢动物群落的重要驱动因素。田间普通花园和基于实验室的中宇宙实验也在揭示对节肢动物群落有重大影响的候选基因。在强调这些令人兴奋的结果的同时,我们也讨论了未来研究中需要解决的关键挑战。我们认为一个主要障碍在于将基因组工具与物种群落层次模型(HMSCs)相结合。HMSCs是生成模型,不仅提供了更好地理解群落变化背后过程的机会,还提供了预测群落动态的机会。我们还主张未来的研究应用基因组预测模型来探索节肢动物群落表型的遗传结构。我们假设这种遗传结构将遵循指数分布,其中少数具有大效应的基因,但也有许多具有小效应的基因,对节肢动物群落的变异有贡献。将植物基因与群落动态联系起来的下一代研究将需要跨学科合作,以建立真正预测植物遗传和节肢动物群落变化的模型。