全球范围内,植物线虫会导致严重的作物损失。了解植物根际土壤微生物组在植物感染过程中发挥的功能至关重要。这项研究调查了泰国五个省稻田中植物的分布,以及确定关键的微生物类群,以响应环境因素,可以考虑在农业有效的生物防治策略的发展。结果表明,南方根结线虫和Hirschmanniellaspp。是分布在泰国稻田中的主要和占主导地位的植物。土壤参数(总磷,Cu,Mg,和Zn)是影响两种线虫丰度的重要因素。Illumina下一代测序表明,所有位置之间的细菌多样性水平没有显着差异。酸杆菌,变形杆菌,Firmicutes,放线菌,粘球菌,氯氟菌,Verrucomicrobiota,拟杆菌,Gemmatimonadota,脱硫细菌是在所有地点观察到的最丰富的细菌门。酸性细菌的种类数量,梭菌,芽孢杆菌,和拟杆菌影响了Hirschmanniella的比例。,Tylenchorhynchusspp。,和采样污垢中自由生活的线虫,而Polyangia和放线菌的种类数量会影响Pratylenchusspp的数量。在根部和土壤中。土壤有机质,N,Mn和Mn是影响细菌群落结构的主要因素。根际微生物群之间的相关性,土壤线虫,在考虑水稻生产系统中的植物病管理时,土壤特性将是有益的数据。
Globally, phytonematodes cause significant crop losses. Understanding the functions played by the plant rhizosphere soil microbiome during phytonematodes infection is crucial. This study examined the distribution of phytonematodes in the paddy fields of five provinces in Thailand, as well as determining the keystone microbial taxa in response to environmental factors that could be considered in the development of efficient biocontrol tactics in agriculture. The results demonstrated that Meloidogyne graminicola and Hirschmanniella spp. were the major and dominant phytonematodes distributed across the paddy fields of Thailand. Soil parameters (total P, Cu, Mg, and Zn) were the important factors affecting the abundance of both nematodes. Illumina next-generation sequencing demonstrated that the levels of bacterial diversity among all locations were not significantly different. The Acidobacteriota, Proteobacteria, Firmicutes, Actinobacteriota, Myxococcota, Chloroflexi, Verrucomicrobiota, Bacteroidota, Gemmatimonadota, and Desulfobacterota were the most abundant bacterial phyla observed at all sites. The number of classes of the Acidobacteriae, Clostridia, Bacilli, and Bacteroidia influenced the proportions of Hirschmanniella spp., Tylenchorhynchus spp., and free-living nematodes in the sampling dirt, whereas the number of classes of the Polyangia and Actinobacteria affected the amounts of Pratylenchus spp. in both roots and soils. Soil organic matter, N, and Mn were the main factors that influenced the structure of the bacterial community. Correlations among rhizosphere microbiota, soil nematodes, and soil properties will be informative data in considering phytonematode management in a rice production system.