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模拟酸雨对毛竹阔叶林过渡带土壤真菌结构及其多样性的影响
引用本文:王楠,潘小承,王传宽,白尚斌.模拟酸雨对毛竹阔叶林过渡带土壤真菌结构及其多样性的影响[J].环境科学,2020,41(5):2476-2484.
作者姓名:王楠  潘小承  王传宽  白尚斌
作者单位:东北林业大学林学院, 哈尔滨 150040;浙江农林大学浙江省森林生态系统碳循环与固碳减排重点实验室,杭州 311300,浙江农林大学浙江省森林生态系统碳循环与固碳减排重点实验室,杭州 311300,东北林业大学林学院, 哈尔滨 150040,浙江农林大学浙江省森林生态系统碳循环与固碳减排重点实验室,杭州 311300
基金项目:国家自然科学基金项目(31770680);浙江省自然科学基金项目(LQ19C160013)
摘    要:为探究酸雨对毛竹扩张形成的竹阔混交林土壤真菌群落的影响程度,于2017~2018年在浙江省杭州临安天目山国家级自然保护区开展酸雨模拟实验,选取T1(pH=4.0)和T2(pH=2.5)两个模拟酸雨梯度,并以CK(pH=5.5)对照,利用Illumina MiSeq高通量测序技术,分析不同强度酸雨胁迫下,土壤真菌群落多样性变化及影响因素.结果表明与对照相比,T1处理显著提高了真菌群落的OTU数量、Chao1指数和Ace指数(P0.05).竹阔混交林土壤主要由13个门类群的菌群组成,优势菌群包括子囊菌门(Ascomycota)、担子菌门(Basidiomycota)、被孢霉门(Mortierellomycota)和毛霉门(Mucoromycota).主坐标(PCoA)分析和相似性检验结果表明模拟酸雨改变了土壤真菌结构.Bifiguratu属、Geminibasidium属、Purpureocillium属和Oidiodendron属相对丰度变化显著,可作为酸雨胁迫下土壤真菌群落结构变化的指示种.冗余分析(RDA)和相关性分析表明,土壤pH和全氮对土壤真菌群落结构影响显著(P0.05).综上所述,酸雨提高了真菌群落多样性指数,改变土壤真菌群落结构.该研究结果有助于了解森林生态系统中的真菌群落,以及土壤真菌作为影响因子在预测环境变异中的作用.

关 键 词:酸雨  毛竹阔叶林  真菌多样性  群落结构  高通量测序
收稿时间:2019/10/23 0:00:00
修稿时间:2019/12/15 0:00:00

Effects of Simulated Acid Rain on Soil Fungi Diversity in the Transition Zone of Moso Bamboo and Broadleaf Forest
WANG Nan,PAN Xiao-cheng,WANG Chuan-kuan and BAI Shang-bin.Effects of Simulated Acid Rain on Soil Fungi Diversity in the Transition Zone of Moso Bamboo and Broadleaf Forest[J].Chinese Journal of Environmental Science,2020,41(5):2476-2484.
Authors:WANG Nan  PAN Xiao-cheng  WANG Chuan-kuan and BAI Shang-bin
Institution:College of Forestry, Northeast Forestry University, Harbin 150040, China;Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang A&F University, Hangzhou 311300, China,Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang A&F University, Hangzhou 311300, China,College of Forestry, Northeast Forestry University, Harbin 150040, China and Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang A&F University, Hangzhou 311300, China
Abstract:Acid rain is an important phenomenon in the context of global climate change, and can strongly influence forest ecology. There have been many studies on the response of plants to acid rain. However, the effect of acid rain on soil microbial communities is still largely unknown. Studying the effects of acid rain on soil microbial community structure is of great significance for predicting the interactive effects of multiple climate factors on forest ecosystems in the future. Moso bamboo (Phyllostachys edulis) is often cultivated not only for its delicious shoots and versatile culms, but also as an important biomass resource in southern China. However, with its robust growth and strong rhizomes, Moso bamboo populations have been expanding rapidly into adjacent forests. Different perturbation regimes, including disturbance caused by simulated acid rain, can have significant effects on a soil fungal community in response to Moso bamboo invasion into native broadleaf forest. To explore the effect of acid rain on a mixed forest of Moso bamboo and broadleaf soil fungi diversity, and to understand the relationship between fungal community structure and acid rain stress, a mixed forest of Moso bamboo and broadleaf (transition forest) in Zhejiang Tianmu Mountain Nature Reserve was taken as the study site, and simulated acid rain was set at different acidity according to the acid rain component of Linan in recent years. The experiment consisted of three different treatments. Three gradients of simulated acid rain treatmentpH 2.5, 4.0, and CK (lake water)] were designed to determine the effects of simulated acid rain on soil bacterial community diversity in transition forest. Soil DNA was extracted from the soils for polymerase chain reaction amplification and high-throughput sequencing to study the effects of acid rain on the fungal communities of the mixed forest of Moso bamboo and broadleaf soil. We obtained 601 287 sequences across the three types of sampling sites. Sequences were affiliated to 13 different phyla throughout the dataset. The dominant fungal groups were Ascomycota, Basidiomycota, Mortierellomycota, and Mucoromycota. Simulated acid significantly increased the number of operational taxonomic units, Ace index, and Chao1 index of fungal communities (P<0.05). The results of principal coordinates analysis (PCoA) also revealed that acid rain significantly modified the structure. The changes in soil fungal community structure were mainly related to the abundance of genera Bifiguratu, Geminibasidium, Purpureocillium, and Oidiodendron, which could be utilized as indicator species to determine changes in soil fungal community structure. Redundancy and correlation analysis showed that changes in basic physicochemical factors in the soil, such as soil pH and total nitrogen, can significantly influence the composition of the fungal community (P<0.05).
Keywords:acid rain  Moso bamboo and broadleaved forest  fungal diversity  community structure  high-throughput sequencing
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