农业土壤原核生物和真菌多样性的空间、时间和技术变异

IF 2.1 Q3 SOIL SCIENCE
T. Jeanne, Joël D’Astous-Pagé, R. Hogue
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引用次数: 3

摘要

几项研究表明,Illumina MiSeq高通量测序可用于测量农业土壤中提供生态系统功能的原核生物和真菌群落的多样性。土壤的土壤生态特性,以及种植制度和农业管理实践,是土壤微生物组多样性的主要驱动因素。必须对其影响进行量化,并将其与技术变异性进行比较,以提高观察到的影响及其可能产生的指标的相关性。本研究进行了:1)评估三种技术变异源对土壤原核生物和真菌多样性的影响;2) 确定技术变异的来源,可作为更好地评估作物管理效果的阈值;3) 在马铃薯、玉米/大豆和草地三种作物管理背景下,与技术阈值相比,评估空间和时间变异性的影响。在采样、土壤DNA提取和扩增子测序变异来源的基础上,对技术变异性进行了评估。使用复合大块土芯在四个采样点评估了空间变异性,每个采样点覆盖2500 m²。在生长季节的三个采样日期,还收集了地理定位土壤,以评估时间变异性。确定了土壤DNA提取变异性的技术变异性阈值,原核生物和真菌的香农德尔塔指数分别为0.142和0.390,加权UniFrac距离分别为0.081和0.364。我们观察到,在每个微生物群落中,技术变异性始终与空间和时间变异性相似或更低。真菌多样性的观测变异性较大,作物系统对时间和空间变异性有很大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial, temporal and technical variability in the diversity of prokaryotes and fungi in agricultural soils
Several studies have shown that Illumina MiSeq high-throughput sequencing can be used to measure the diversity of prokaryotes and fungal communities that provide ecosystem functions in agricultural soils. Pedoclimatic properties of soils, together with cropping systems and agricultural management practices, are major drivers of soil microbiome diversity. Their effects must be quantified and compared to technical variability to improve the relevance of observed effects and the indicators that may result from them. This study was conducted: 1) To assess the effects of three sources of technical variability on the soil prokaryotes and fungal diversity; 2) To identify a source of technical variability that can be used as a threshold to better assess crop management effects; 3) To evaluate the effects of spatial and temporal variability compare to a technical threshold in three crop management contexts, potato, corn/soybean and grassland. Technical variability was evaluated in a basis of sampling, soil DNA extraction and amplicon sequencing source of variability. Spatial variability was evaluated using composite bulk soil cores at four sampling points covering 2500 m² per field. Geolocated soils were also collected on three sampling dates during the growing season to evaluate temporal variability. A technical variability threshold was determined for the soil DNA extraction variability with a delta of Shannon index of 0.142 and 0.390 and a weighted UniFrac distance of 0.081 and 0.364 for prokaryotes and fungi, respectively. We observed that technical variability was consistently similar or lower than the spatial and temporal variabilities in each of the microbial communities. Observed variability was greater for the diversity of fungi and the crop system has a strong effect on temporal and spatial variability.
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CiteScore
1.90
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