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天然高寒草地转变为混播人工草地对土壤微生物群落特征的影响
摘要点击 1275  全文点击 389  投稿时间:2022-04-06  修订日期:2022-07-23
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中文关键词  高寒草地  人工草地  土壤微生物  群落多样性  指示微生物
英文关键词  alpine grassland  artificial grasslands  soil microorganism  community diversity  indicator microorganism
作者单位E-mail
于皓 辽宁工程技术大学环境科学与工程学院, 阜新 123000 micro_yh@126.com 
刘悦 辽宁工程技术大学环境科学与工程学院, 阜新 123000  
邓晔 中国科学院生态环境研究中心, 北京 100085  
芦光新 青海大学农牧学院, 西宁 810016  
颜珲璘 青海大学农牧学院, 西宁 810016  
王英成 青海大学农牧学院, 西宁 810016  
中文摘要
      为了研究天然高寒草地转变为混播人工草地对土壤微生物群落的影响,采用高通量测序技术分析了青海省共和县的天然以及由天然转变为混播人工草地样地土壤中的微生物群落.结果表明,天然草地转变为混播人工草地后植被物种多样性和土壤有机质含量显著下降(P<0.05).在两块样地共检测到29个细菌门和11个真菌门的微生物.天然草地转变为人工草地后,土壤细菌的多样性显著升高,细菌的香农指数从9.51增加到9.89;土壤真菌的多样性降低但差异不显著.与天然草地相比,人工草地的土壤细菌与真菌群落结构、组成均发生了明显的变化,细菌群落结构与总有机质的含量、总氮含量和土壤含水量显著相关,真菌群落结构与总有机质含量和土壤含水量显著相关.线性判别分析(LEfSe)结果表明,暗黑菌门细菌(Atribacteria)和子囊菌门真菌(Ascomycota)可作为天然草地的指示微生物类群,出芽菌属细菌(Gemmata)和发菌科真菌(Trichocomaceae)可作为人工草地的指示微生物类群.利用Tax4Fun2对细菌群落功能的预测发现,天然草地向人工草地的转变影响了细菌群落对不同碳源的利用潜力.
英文摘要
      This study aimed to analyze the effects of the transformation from natural alpine grassland (NAG) to mixed artificial grassland (MAG) on the characteristics of soil microbial community. We used Illumina Miseq high-throughput sequencing technology to investigate the soil microbial community of natural grassland and mixed artificial grassland. The results showed that plant diversity and the content of soil organic matter decreased significantly from NAG to MAG. In total, 29 and 11 phyla bacteria and fungi were detected, respectively. Compared with that in NAG, the Shannon indexes of the bacterial community increased significantly in MAG (from 9.51 to 9.89), whereas these differences were not significant between the NAG and MAG fungal community. The structure and composition of the soil microbial community showed significant differences between NAG and MAG. In addition, Mantel test results suggested that soil total organic matter, total nitrogen, and soil moisture were significantly correlated with variations in the bacterial community, and soil total organic matter and soil moisture were significantly correlated with variations in fungal community. The results of linear discriminant analysis (LEfSe) indicated that Atribacteria and Ascomycota microorganisms could be considered as the indicator groups for NAG, whereas Gemmata and Trichocomaceae microorganisms could be considered as the indicator groups for MAG. Tax4Fun2 results showed that the transition from NAG to MAG affected the utilization of different carbon sources by bacteria.

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