Duflos Rémi, Vailleau Fabienne, Roux Fabrice
LIPME INRAE CNRS Université de Toulouse Castanet-Tolosan 31326 France.
Adv Genet (Hoboken). 2024 Mar 21;5(3):2300210. doi: 10.1002/ggn2.202300210. eCollection 2024 Sep.
The social movement to reduce reliance on pesticides and synthesized fertilizers and the growing global demand for sustainable food supplies require the development of eco-friendly and sustainable agricultural practices. In line, plant growth-promoting bacteria (PGPB) can participate in creating innovative agroecological systems. While the effectiveness of PGPB is highly influenced by abiotic conditions and microbe-microbe interactions, beneficial plant-PGPB interactions can also highly depend on both host and PGPB genotype. Here, the state of the art on the extent of natural genetic variation of plant-PGPB interactions and the underlying genetic architecture, in particular in is reviewed. Extensive natural plant genetic variation in response to PGPB is associated with a polygenic architecture and genetic pathways rarely mentioned as being involved in the response to PGPB. To date, natural genetic variation within PGPB is little explored, which may in turn allow the identification of new genetic pathways underlying benefits to plants. Accordingly, several avenues to better understand the genomic and molecular landscape of plant-PGPB interactions are introduced. Finally, the need for establishing thorough functional studies of candidate genes underlying Quantitative Trait Loci and estimating the extent of genotype-by-genotype-by-environment interactions within the context of realistic (agro-)ecological conditions is advocated.
减少对农药和合成肥料依赖的社会运动以及全球对可持续粮食供应日益增长的需求,要求发展生态友好型和可持续的农业实践。相应地,植物促生细菌(PGPB)可以参与创建创新的农业生态系统。虽然PGPB的有效性受到非生物条件和微生物-微生物相互作用的高度影响,但有益的植物-PGPB相互作用也在很大程度上取决于宿主和PGPB的基因型。在此,本文综述了植物-PGPB相互作用的自然遗传变异程度及潜在遗传结构的研究现状,特别是在[此处可能缺失具体内容]方面。植物对PGPB反应的广泛自然遗传变异与多基因结构相关,且涉及对PGPB反应的遗传途径鲜有提及。迄今为止,对PGPB内部的自然遗传变异研究甚少,这反过来可能有助于识别对植物有益的新遗传途径。因此,本文介绍了几种更好地理解植物-PGPB相互作用的基因组和分子格局的途径。最后,主张在现实的(农业)生态条件下,对数量性状位点潜在的候选基因进行深入的功能研究,并估计基因型-基因型-环境相互作用的程度。