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 8 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.

中文翻译：

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在微生物网络中，与食虫弧菌和类似生物相关的“猎物”细菌的物种均匀性为稻田土壤中的生物量提供了支持。

为了研究可能影响Bdellovibrio样生物群落的土壤生物和非生物因素，我们对不同施肥处理下的稻田土壤进行了采样，包括无氮施肥（对照），氮素使用处理（N）和氮素过量使用（1）。 HNK）处于三个水稻生长阶段。BALO的丰度受水稻生长阶段的影响，但不受施肥处理的影响。类风杆菌科科植物的丰度与土壤水分呈正相关，与细菌纲科科植物呈负相关。类细菌。对整个细菌群落的高通量测序分析表明，BALOs的α多样性与任何土壤特性数据均不相关。网络分析检测到八个与BALO直接相关的科，即假单孢菌科，肽链球菌科，黄杆菌科，Sedmentment-4，微微生物科，OM27，单核细菌科和玫瑰科。8个家庭的OTUs的丰富度和组成与土壤性质相关，而均匀度对预测的BALO生物量具有积极影响。这些结果表明，稻田土壤中BALO的自下而上控制至少部分取决于土壤水分的变化以及微生物网络中与BALO直接相关的细菌的多样性。