Cassava is one of the most important staple food crops in tropical regions. To date, an understanding of the relationship between microbial communities and disease resistance in cassava has remained elusive. In order to explore the relationship among microbiome and phenotypes for further targeted design of microbial community, 16S rRNA and ITS of microbiome of ten cassava varieties were analysed, and a distinctive microbial community in the rhizosphere showed significant interdependence with disease resistance. Shotgun metagenome sequencing was performed to elucidate the structure of microbiomes of cassava rhizosphere. Comprehensive microbiome studies were performed to assess the correlation between the rhizosphere microbiome and disease resistance. Subsequently, the metagenome of rhizosphere microbiome was annotated to obtain taxonomic information at species level and identify metabolic pathways that were significantly associated with cassava disease resistance. Notably, cassava disease resistance was significantly associated with Lactococcus sp., which specifically produces nisin. To definitively explain the role of nisin and underlying mechanism, analysis of nisin biosynthesis‐associated genes together with in vitro and in vivo experiments highlighted the effect of nisin on inhibiting the growth of Xanthomonas axonopodis pv. manihotis (Xam) and activating immune response in cassava. The new insights between cassava rhizosphere microbiome especially Lactococcus sp. and disease resistance provide valuable information into further control of cassava disease.

中文翻译：

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微生物组范围的关联研究揭示了木薯根际微生物组的结构和代谢与抗病性之间的相关性

木薯是热带地区最重要的主食作物之一。迄今为止，对木薯中微生物群落与抗病性之间关系的了解仍然难以捉摸。为了探索微生物群与表型之间的关系，以进一步针对性地设计微生物群落，分析了10个木薯品种的微生物群的16S rRNA和ITS，并且根际中一个独特的微生物群落表现出与抗病性的显着相关性。进行弹枪基因组测序以阐明木薯根际微生物区系的结构。进行了全面的微生物组研究，以评估根际微生物组与疾病抗性之间的相关性。随后，对根际微生物组的基因组进行了注释，以获取物种水平的分类学信息，并确定与木薯抗病性显着相关的代谢途径。值得注意的是，木薯的抗病性与乳球菌，专门产生乳链菌肽。为了明确地说明连同乳链菌肽和相关机制，乳链菌肽的生物合成相关的基因分析的作用的体外和体内实验突出显示抑制生长乳链菌肽的效果黄单胞菌属axonopodis PV。木薯（Xam）和激活木薯的免疫反应。木薯根际微生物组特别是乳球菌之间的新见解。抗病性和抗病性为进一步控制木薯疾病提供了有价值的信息。