Toward Ecologically Relevant Genetics of Interactions Between Host Plants and Plant Growth-Promoting Bacteria

Rémi Duflos, Fabienne Vailleau, Fabrice Roux
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Abstract

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 Arabidopsis thaliana 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.

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研究寄主植物与植物生长促进细菌之间相互作用的生态相关遗传学
减少对杀虫剂和合成化肥依赖的社会运动,以及全球对可持续粮食供应日益增长的需求,都要求发展生态友好和可持续的农业实践。因此,植物生长促进菌(PGPB)可以参与创建创新的生态农业系统。虽然 PGPB 的功效受非生物条件和微生物与微生物之间相互作用的影响很大,但植物与 PGPB 之间的有益相互作用也在很大程度上取决于宿主和 PGPB 的基因型。本文回顾了植物-PGPB 相互作用的天然遗传变异程度和基本遗传结构的最新进展,特别是拟南芥的情况。植物对 PGPB 反应的广泛天然遗传变异与多基因结构和很少提及的参与 PGPB 反应的遗传途径有关。迄今为止,对 PGPB 内的天然遗传变异的探索还很少,而这反过来又可以确定对植物有益的新的遗传途径。因此,本文介绍了更好地了解植物与 PGPB 相互作用的基因组和分子状况的几种途径。最后,主张有必要对数量性状位点的候选基因进行全面的功能研究,并在现实的(农业)生态条件下估计基因型与环境之间的相互作用程度。
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