贡嘎山海拔梯度上不同植被类型土壤甲烷氧化菌群落结构及多样性

Soil methanotrophic community structure and diversity in different vegetation types at elevation gradient of Gongga Mountain,Southwest China

甲烷是仅次于CO_2的第二大温室气体.森林表层土壤中甲烷好氧氧化作用是大气甲烷重要的汇,在碳循环和减缓全球变暖方面起着重要作用.研究不同植被类型土壤中甲烷氧化菌的群落结构及多样性,有助于更好地理解植被演替、人为干扰和不同土地利用背景下甲烷氧化菌群落组成和多样性变化与地上植被之间的相互关系.本研究在贡嘎山东坡海拔梯度上的4种不同植被类型中采集了92个土壤样品,利用Miseq测序技术和生物信息学方法评估了甲烷氧化菌群落组成及多样性在4种不同植被类型间的变化,并探讨了其变异的潜在原因.结果表明:常绿阔叶林和针阔叶混交林土壤中甲烷氧化菌的群落结构较为相似,暗针叶林和灌丛草甸土壤甲烷氧化菌的群落结构较为相似.4种不同植被生态系统中,针阔叶混交林土壤中的甲烷氧化菌α多样性显著高于其他3种植被生态系统(P<0.001),且暗针叶林和灌丛草甸土壤中甲烷氧化菌β多样性显著高于常绿阔叶林和针阔叶混交林(P<0.001).Spearman相关分析表明,不同类型甲烷氧化菌的相对丰度对环境变化的响应模式不同.造成α多样性差异的主要因子可能是土壤总氮、电导率和土壤温度.偏Mantel检验分析和冗余分析(RDA)表明,常绿阔叶林和针阔叶混交林土壤甲烷氧化菌多样性受环境因子的影响较大,而暗针叶林和灌丛草甸土壤中甲烷氧化细菌多样性变化可能存在其他潜在的影响因素或者机制.降水可能是造成低海拔常绿阔叶林和针阔叶混交林与高海拔暗针叶林和灌丛草甸土壤甲烷氧化细菌群落结构差异的主要原因.贡嘎山海拔梯度上不同植被类型土壤中甲烷氧化菌的群落结构和多样性变化可能主要是由于土壤理化性质和气候变化综合作用的结果.

Methane （CH4） is the second abundant greenhouse gas. Aerobic methane oxidations of topsoil in forest are identified as an important sink of atmosphere methane, playing critical roles in carbon cycle and global warming alleviation. Comparing the community structure and diversity of methane oxidizing bacteria （MOBs） in different vegetation ecosystems could provide new insights into the relationships between vegetation types and community of MOBs. In this study, we collected 92 soil samples from four types of vegetation along the elevation gradient of Gongga Mountain, and further assessed the community structure, diversity and potential drivers of MOBs across the four vegetation types using Miseq sequencing and bioinformatics methods. The result indicated that MOBs community compositions in evergreen and deciduous broad-leaved forest （EDBF） and coniferous and broad-leaved mixed forest （CBMF） was more similar, whereas in dark coniferous forest （DCF） and shrub meadow area （SMA） soils, MOB composition was more similar. In the four types of vegetation, α-diversities of MOBs in EDBF and CBMF were significantly higher than that in the other three vegetation types （P〈0.001）, whereas β-diversities in soils of DCF and SMA were significantly higher than those in EDBF and CBMF （P〈0.001）. Spearman analysis indicated that the relative abundance of different MOBs in four types of vegetation showed different responses to environmental change. Factors including soil total nitrogen, conductivity and soil temperature appeared to govern the variation of α-diversity across the four vegetation types. Partial Mantel test and redundancy analysis （RDA） suggested that environmental parameters likely contributed more to diversity variations in soils from EDBF and CBMF, whereas diversity variations in soils from DCF and SAM might be driven by other potential environmental factors or mechanism. Precipitation appeared to drive the β- diversity variation between vegetation of EDBF and CBMF and vegetation of DCF and SAM. Our study suggested that the community structure and diversity variation of MOBs in different vegetation types might be governed by both soil properties and climate change.