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An Integrated Study to Analyze Soil Microbial Community Structure and Metabolic Potential in Two Forest Types

机译:两种森林类型土壤微生物群落结构和代谢潜势分析的综合研究

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摘要

Soil microbial metabolic potential and ecosystem function have received little attention owing to difficulties in methodology. In this study, we selected natural mature forest and natural secondary forest and analyzed the soil microbial community and metabolic potential combing the high-throughput sequencing and GeoChip technologies. Phylogenetic analysis based on 16S rRNA sequencing showed that one known archaeal phylum and 15 known bacterial phyla as well as unclassified phylotypes were presented in these forest soils, and Acidobacteria, Protecobacteria, and Actinobacteria were three of most abundant phyla. The detected microbial functional gene groups were related to different biogeochemical processes, including carbon degradation, carbon fixation, methane metabolism, nitrogen cycling, phosphorus utilization, sulfur cycling, etc. The Shannon index for detected functional gene probes was significantly higher (P<0.05) at natural secondary forest site. The regression analysis showed that a strong positive (P<0.05) correlation was existed between the soil microbial functional gene diversity and phylogenetic diversity. Mantel test showed that soil oxidizable organic carbon, soil total nitrogen and cellulose, glucanase, and amylase activities were significantly linked (P<0.05) to the relative abundance of corresponded functional gene groups. Variance partitioning analysis showed that a total of 81.58% of the variation in community structure was explained by soil chemical factors, soil temperature, and plant diversity. Therefore, the positive link of soil microbial structure and composition to functional activity related to ecosystem functioning was existed, and the natural secondary forest soil may occur the high microbial metabolic potential. Although the results can't directly reflect the actual microbial populations and functional activities, this study provides insight into the potential activity of the microbial community and associated feedback responses of the terrestrial ecosystem to environmental changes.
机译:由于方法上的困难,土壤微生物的代谢潜力和生态系统功能很少受到关注。在这项研究中,我们选择了天然成熟林和天然次生林,并结合高通量测序和GeoChip技术分析了土壤微生物群落和代谢潜力。基于16S rRNA测序的系统发育分析表明,这些森林土壤中存在一种已知的古细菌门和15种已知的细菌门以及未分类的系统型,嗜酸细菌,变形杆菌和放线菌是最丰富的三种。检测到的微生物功能基因组与不同的生物地球化学过程有关,包括碳降解,碳固定,甲烷代谢,氮循环,磷利用,硫循环等。所检测的功能基因探针的香农指数明显较高(P <0.05)在天然次生林地。回归分析表明,土壤微生物功能基因多样性与系统发育多样性之间存在很强的正相关(P <0.05)。 Mantel试验表明,土壤可氧化的有机碳,土壤总氮和纤维素,葡聚糖酶和淀粉酶的活性与相应功能基因组的相对丰度显着相关(P <0.05)。方差划分分析表明,群落结构的总变化中有81.58%是由土壤化学因素,土壤温度和植物多样性引起的。因此,土壤微生物的结构和组成与生态系统功能相关的功能活动之间存在着积极的联系,天然次生林地土壤可能具有较高的微生物代谢潜力。尽管结果不能直接反映实际的微生物种群和功能活动,但本研究提供了对微生物群落潜在活动以及陆地生态系统对环境变化的相关反馈响应的深入了解。

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