State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China.
Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China.
FEMS Microbiol Ecol. 2020 Nov 26;96(12). doi: 10.1093/femsec/fiaa195.
To seek how soil biotic and abiotic factors which might shape the Bdellovibrio-and-like-organisms community, we sampled paddy soils under different fertilization treatments including fertilization without nitrogen (Control), the nitrogen use treatment (N) and the nitrogen overuse one (HNK) at three rice growing stages. The abundances of BALOs were impacted by the rice-growing stages but not the fertilization treatments. The abundances of Bdellovibrionaceae-like were positively associated with soil moisture, which showed a negative relationship with Bacteriovoracaceae-like bacteria. High-throughput sequencing analysis of the whole bacterial community revealed that the α-diversity of BALOs was not correlated with any soil properties data. Network analysis detected eight families directly linked to BALOs, namely, Pseudomonadaceae, Peptostreptococcaceae, Flavobacteriaceae, Sediment-4, Verrucomicrobiaceae, OM27, Solirubrobacteraceae and Roseiflexaceae. The richness and composition of OTUs in the eight families were correlated with different soil properties, while the evenness of them had a positive effect on the predicted BALO biomass. These results highlighted that the bottom-up control of BALOs in paddy soil at least partially relied on the changes of soil water content and the diversity of bacteria directly linked to BALOs in the microbial network.
为了研究土壤生物和非生物因素如何塑造噬菌蛭弧菌类群,我们在三个水稻生长阶段,在不同施肥处理(包括不施氮肥(对照)、施氮处理(N)和氮过量处理(HNK))下,采集了稻田土壤样本。BALO 的丰度受水稻生长阶段的影响,但不受施肥处理的影响。噬菌蛭弧菌类的丰度与土壤水分呈正相关,与杆菌噬菌科细菌呈负相关。全细菌群落的高通量测序分析表明,BALO 的 α 多样性与任何土壤性质数据均无相关性。网络分析检测到与 BALO 直接相关的八个家族,分别为假单胞菌科、消化链球菌科、黄杆菌科、沉积物 4、疣微菌科、OM27、螺旋菌科和玫瑰杆菌科。这八个家族的 OTU 丰富度和组成与不同的土壤性质相关,而均匀度则对预测的 BALO 生物量有积极影响。这些结果表明,稻田土壤中 BALO 的自下而上控制至少部分依赖于土壤水分的变化以及与 BALO 直接相关的微生物网络中细菌的多样性。