人工网络推理分析揭示了生物刺激素对马铃薯熏蒸土壤细菌群落的影响

IF 2.1 Q3 SOIL SCIENCE
Honoré Tekeu, Thomas Jeanne, Joël D’Astous-Pagé, Richard Hogue
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引用次数: 0

摘要

作为马铃薯常见赤霉病对马铃薯产量和品质影响控制方法研究的一部分,采用高通量测序方法测定了土壤熏蒸剂氯霉素单独使用或与一种芽孢杆菌属生物刺激素联合使用对土壤细菌多样性的丰富度和组成,以及土壤细菌网络相互作用的影响。结果与讨论结果表明,在对照区(T1)马铃薯中,普通赤霉病造成的净产量损失大于46.25%,而单独使用熏蒸剂(T3)和与生物刺激素(T4)联合使用熏蒸剂可使净产量损失小于2.5%。这些处理也促进了总产量增加23.5英担。Acre -1(7.06%)和28 cwt。Acre -1(8.41%)。研究发现,使用土壤熏蒸剂氯丁显著且持续地改变了整个生长季节土壤细菌群落的组成。接种基于芽孢杆菌种的生物刺激素引起的土壤细菌群落的变化在生长季节结束时是不同的,这取决于土壤是否经过熏蒸(T4) (T2)。有趣的是,人工网络推理分析显示,T2处理的边和连杆数最多,而T3处理的边和连杆数最少。单独熏蒸处理导致相互作用减少,而在未熏蒸和熏蒸的土壤中应用生物刺激剂,导致相互作用增加,门内或不同分类群之间的联系数量增加。此外,熏蒸剂和生物刺激素联合处理显示出各种网络特性的适度增加,这为接种生物刺激素对熏蒸土壤细菌群落的积极影响提供了证据。我们的结果提供了对不同处理土壤中细菌群落结构和多样性的更详细的了解。此外,破译土壤细菌群落的网络相互作用对马铃薯种植系统土壤微生物生态的研究具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial network inference analysis reveals the impact of biostimulant on bacterial communities in fumigated soil for potato production against common scab
Introduction and methods As part of a study on control methods of common scab disease impact on potato yield and quality, high-throughput sequencing was used to measure the effects of soil fumigant chloropicrin alone or in combination with a Bacillus species-based biostimulant on soil bacterial diversity in terms of richness and composition, as well as on soil bacterial network interactions. Results and discussion The results showed that common scab caused significant net yield losses of more than 46.25% in potatoes of control plots (T1), while the use of the fumigant alone (T3) and the use of the fumigant with the biostimulant (T4) reduced net yield losses to less than 2.5%. These treatments also promoted gross yield increases of 23.5 cwt. acre -1 (7.06%) and 28 cwt. acre -1 (8.41%) respectively. The study found that using the soil fumigant chloropicrin significantly and persistently altered the composition of the soil bacterial community over the growing season. The modifications of the soil bacterial community induced by the inoculation of the Bacillus species-based biostimulant are distinct by the end of the growing season depending on whether the soil has been fumigated (T4) or not (T2). Interestingly, artificial network inference analysis showed that the T2 treatment had the highest number of edges and linkages, contrary to the T3 treatment that had the lowest number of edges and linkages. The fumigation alone treatment leads to a reduction in interactions, while the application of the biostimulant, in both non-fumigated and fumigated soil, results in increased interactions and a higher number of connections within a phylum or between different taxa. Furthermore, the treatment combining the fumigant and the biostimulant exhibits a moderate increase in various network properties, providing evidence for the positive effect of biostimulant inoculation on bacterial communities in fumigated soils. Our results provide a more detailed understanding of the bacterial community structure and diversity in the soil of the different treatments. Moreover, deciphering network interactions in soil bacterial communities is fundamentally important for research in soil microbial ecology of potato cropping systems.
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