在商业草莓生产系统中,土壤细菌群落受土壤化学特性和扩散限制的影响。

Q3 Agricultural and Biological Sciences Plant-environment interactions (Hoboken, N.J.) Pub Date : 2023-01-11 eCollection Date: 2023-02-01 DOI:10.1002/pei3.10099
Nicholas LeBlanc, Samantha Gebben
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引用次数: 0

摘要

细菌群落在土壤中发挥着多种功能作用,对植物健康产生正反馈。然而,关注商业草莓生产系统中土壤细菌群落生态的研究相对较少。本研究的目的是确定影响土壤细菌群落的生态过程在同一地理区域内的商业草莓生产地点和地块之间是否一致。研究采用空间明确设计法,从加利福尼亚州萨利纳斯谷地区两个草莓商业生产地的三个地块采集土壤样本。对 72 份土壤样本中的每一份进行了土壤碳、氮和 pH 值测量,并使用 16 S rRNA 测序对细菌群落进行了表征。多变量分析表明,两个草莓生产地的细菌群落组成存在差异。对地块内群落的分析表明,在三个取样地块中,有一个地块的土壤 pH 值和氮是细菌群落组成的重要预测因子。在一个地点的两个地块中,细菌群落显示出空间结构,其依据是随着空间距离的增加,群落差异性显著增加。无效模型分析表明,所有地块的细菌群落之间缺乏系统发育更替,但在也观察到空间结构的两个地块中,扩散受限的频率更高。总之,这项研究表明,影响土壤细菌群落的生态因素在不同的草莓生产地点或地块之间并不一致,这可能会影响预测或管理土壤微生物群对草莓健康影响的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Soil bacterial communities are influenced by soil chemical characteristics and dispersal limitation in commercial strawberry production systems.

Bacterial communities play multiple functional roles in soil that have positive and negative feedbacks on plant health. However, relatively few studies have focused on the ecology of soil bacterial communities in commercial strawberry production systems. The objective of this study was to determine if ecological processes influencing soil bacterial communities are consistent among commercial strawberry production locations and plots within the same geographic region. Soil samples were collected using a spatially explicit design from three plots in two commercial strawberry production locations in the Salinas Valley region of California. Soil carbon, nitrogen, and pH were measured for each of the 72 soil samples and bacterial communities were characterized using 16 S rRNA sequencing. Multivariate analyses showed bacterial community composition was differentiated between the two strawberry production locations. Analyses of communities within plots demonstrated soil pH and nitrogen were significant predictors of bacterial community composition in one of the three sampled plots. Bacterial communities displayed spatial structure in two plots at one location based on a significant increase in community dissimilarity with increasing spatial distance. Null model analyses identified a lack of phylogenetic turnover among bacterial communities in all plots, but a greater frequency of dispersal limitation in the two plots where spatial structure was also observed. Overall, this work suggests that ecological factors influencing soil bacterial communities are not consistent among different strawberry production locations or plots which may impact the ability to predict or manage the effect of soil microbiomes on strawberry health.

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