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蒺藜苜蓿基因型决定植物营养策略及其相关根际细菌群落。

Medicago truncatula genotype drives the plant nutritional strategy and its associated rhizosphere bacterial communities.

作者信息

Zancarini Anouk, Le Signor Christine, Terrat Sébastien, Aubert Julie, Salon Christophe, Munier-Jolain Nathalie, Mougel Christophe

机构信息

IGEPP, INRAE, Institut Agro, Univ Rennes, 35653, Le Rheu, France.

Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.

出版信息

New Phytol. 2025 Jan;245(2):767-784. doi: 10.1111/nph.20272. Epub 2024 Nov 28.

Abstract

Harnessing the plant microbiome through plant genetics is of increasing interest to those seeking to improve plant nutrition and health. While genome-wide association studies (GWAS) have been conducted to identify plant genes driving the plant microbiome, more multidisciplinary studies are required to assess the relationships among plant genetics, plant microbiome and plant fitness. Using a metabarcoding approach, we characterized the rhizosphere bacterial communities of a core collection of 155 Medicago truncatula genotypes along with the plant phenotype and investigated the plant genetic effects through GWAS. The different genotypes within the M. truncatula core collection showed contrasting growth and nutritional strategies but few loci were associated with these ecophysiological traits. To go further, we described its associated rhizosphere bacterial communities, dominated by Proteobacteria, Actinobacteria and Bacteroidetes, and defined a core rhizosphere bacterial community. Next, the occurrences of bacterial candidates predicting plant ecophysiological traits of interest were identified using random forest analyses. Some of them were heritable and plant loci were identified, pinpointing genes related to response to hormone stimulus, systemic acquired resistance, response to stress, nutrient starvation or transport, and root development. Together, these results suggest that plant genetics can affect plant growth and nutritional strategies by harnessing keystone bacteria in a well-connected interaction network.

摘要

对于那些致力于改善植物营养与健康的人来说,通过植物遗传学来利用植物微生物组正变得越来越受关注。虽然已经开展了全基因组关联研究(GWAS)来鉴定驱动植物微生物组的植物基因,但仍需要更多多学科研究来评估植物遗传学、植物微生物组和植物适应性之间的关系。我们采用元条形码方法,对155个蒺藜苜蓿基因型核心种质的根际细菌群落以及植物表型进行了表征,并通过GWAS研究了植物的遗传效应。蒺藜苜蓿核心种质中的不同基因型表现出不同的生长和营养策略,但与这些生态生理性状相关的基因座很少。为了进一步研究,我们描述了其相关的根际细菌群落,该群落以变形菌门、放线菌门和拟杆菌门为主,并定义了一个核心根际细菌群落。接下来,我们使用随机森林分析确定了预测感兴趣的植物生态生理性状的细菌候选物的出现情况。其中一些是可遗传的,并鉴定出了植物基因座,确定了与激素刺激反应、系统获得性抗性、应激反应、营养饥饿或运输以及根系发育相关的基因。总之,这些结果表明,植物遗传学可以通过在一个联系紧密的相互作用网络中利用关键细菌来影响植物生长和营养策略。

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