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Functional Gene Differences in Soil Microbial Communities from Conventional, Low-Input, and Organic Farmlands

机译:传统,低投入和有机农田土壤微生物群落的功能基因差异

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Various agriculture management practices may have distinct influences on soil microbial communities and their ecological functions. In this study, we utilized GeoChip, a high-throughput microarray-based technique containing approximately 28,000 probes for genes involved in nitrogen (N)/carbon (C)/sulfur (S)/phosphorus (P) cycles and other processes, to evaluate the potential functions of soil microbial communities under conventional (CT), low-input (LI), and organic (ORG) management systems at an agricultural research site in Michigan. Compared to CT, a high diversity of functional genes was observed in LI. The functional gene diversity in ORG did not differ significantly from that of either CT or LI. Abundances of genes encoding enzymes involved in C/N/P/S cycles were generally lower in CT than in LI or ORG, with the exceptions of genes in pathways for lignin degradation, methane generation/oxidation, and assimilatory N reduction, which all remained unchanged. Canonical correlation analysis showed that selected soil (bulk density, pH, cation exchange capacity, total C, C/N ratio, NO3?, NH4+, available phosphorus content, and available potassium content) and crop (seed and whole biomass) variables could explain 69.5% of the variation of soil microbial community composition. Also, significant correlations were observed between NO3? concentration and denitrification genes, NH4+ concentration and ammonification genes, and N2O flux and denitrification genes, indicating a close linkage between soil N availability or process and associated functional genes.
机译:各种农业管理实践可能会对土壤微生物群落及其生态功能产生不同的影响。在这项研究中,我们利用了基于高通量微阵列的技术GeoChip,该技术包含大约28,000个探针,用于涉及氮(N)/碳(C)/硫(S)/磷(P)循环和其他过程的基因,以进行评估密歇根州农业研究基地在常规(CT),低投入(LI)和有机(ORG)管理系统下土壤微生物群落的潜在功能。与CT相比,在LI中观察到功能基因的高度多样性。 ORG中的功能基因多样性与CT或LI均无显着差异。除了木质素降解,甲烷生成/氧化和同化氮还原途径中的基因外,CT中与C / N / P / S循环有关的酶基因的丰度通常低于LI或ORG。不变。典型相关分析表明,选定的土壤(疏松密度,pH,阳离子交换能力,总碳,碳/氮比,NO3?,NH4 +,有效磷含量和有效钾含量)和作物(种子和整个生物量)变量可以解释土壤微生物群落组成变化的69.5%。另外,观察到NO 3与NO 3之间存在显着的相关性。浓度和反硝化基因,NH4 +浓度和氨化基因以及N2O通量和反硝化基因,表明土壤氮素有效性或过程与相关功能基因之间存在紧密联系。

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