Wang Lei, Jiao Yan, Bi Yingdong, Hu Yanli, Jiang Yan, Wang Shaodong, Wang Sui
Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, 150030, Harbin, PR China.
School of Resources and Environment, Northeast Agricultural University, 150030, Harbin, PR China.
ISME Commun. 2023 Aug 28;3(1):89. doi: 10.1038/s43705-023-00296-8.
Identifying the ecological forces that structure root-associated microbial communities is an essential step toward more sustainable agriculture. Legumes are widely utilized as model plants to study selective forces and their functioning in plant-microbial interactions owing to their ability to establish mutualism with rhizobia. Root nodules act as symbiotic organs to optimize the cost-benefit balance in this mutualistic relationship by modulating the number of nodules. However, it is not known whether the number of nodules is related to the structure of root-associated bacterial communities. Here, the root-associated bacterial communities of soybean grown in native soil by means of soybean cultivars with super- or normal nodulation were investigated across four developmental stages. We compared ecological processes between communities and found decreased relative importance of neutral processes for super-nodulating soybean, although the overall structures resembled those of normal-nodulating soybean. We identified the generalist core bacterial populations in each root-associated compartment, that are shared across root-associated niches, and persist through developmental stages. Within core bacterial species, the relative abundances of bacterial species in the rhizosphere microbiome were linked to host-plant functional traits and can be used to predict these traits from microbes using machine learning algorithms. These findings broaden the comprehensive understanding of the ecological forces and associations of microbiotas in various root-associated compartments and provide novel insights to integrate beneficial plant microbiomes into agricultural production to enhance plant performance.
识别构建与根相关微生物群落的生态力量是迈向更可持续农业的关键一步。由于豆科植物能够与根瘤菌建立共生关系，因此它们被广泛用作模式植物来研究选择力量及其在植物 - 微生物相互作用中的功能。根瘤作为共生器官，通过调节根瘤数量来优化这种共生关系中的成本效益平衡。然而，根瘤数量是否与根相关细菌群落的结构有关尚不清楚。在此，我们通过具有超级结瘤或正常结瘤的大豆品种，研究了在原生土壤中生长的大豆在四个发育阶段的根相关细菌群落。我们比较了群落之间的生态过程，发现超级结瘤大豆中性过程的相对重要性降低，尽管其整体结构与正常结瘤大豆相似。我们确定了每个根相关区室中的通用核心细菌种群，这些种群在根相关生态位中共享，并在发育阶段持续存在。在核心细菌物种中，根际微生物群落中细菌物种的相对丰度与宿主植物功能性状相关，并且可以使用机器学习算法从微生物中预测这些性状。这些发现拓宽了对各种根相关区室中微生物群落的生态力量和关联的全面理解，并为将有益植物微生物群落整合到农业生产中以提高植物性能提供了新的见解。
