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与细菌群落相比,欧洲高山土壤中的真菌群落不会受到短期原位模拟增温的影响。

Fungal communities in European alpine soils are not affected by short-term in situ simulated warming than bacterial communities.

机构信息

Department of Agricultural, Food and Environmental Sciences, University of Perugia, Perugia, Italy.

Department of Theoretical and Applied Sciences, Insubria University, Varese, Italy.

出版信息

Environ Microbiol. 2022 Sep;24(9):4178-4192. doi: 10.1111/1462-2920.16090. Epub 2022 Jun 12.

DOI:10.1111/1462-2920.16090
PMID:35691701
Abstract

The impact of global warming on biological communities colonizing European alpine ecosystems was recently studied. Hexagonal open top chambers (OTCs) were used for simulating a short-term in situ warming (estimated around 1°C) in some alpine soils to predict the impact of ongoing climate change on resident microbial communities. Total microbial DNA was extracted from soils collected either inside or outside the OTCs over 3 years of study. Bacterial and fungal rRNA copies were quantified by qPCR. Metabarcoding sequencing of taxonomy target genes was performed (Illumina MiSeq) and processed by bioinformatic tools. Alpha- and beta-diversity were used to evaluate the structure of bacterial and fungal communities. qPCR suggests that, although fluctuations have been observed between soils collected either inside and outside the OTCs, the simulated warming induced a significant (p < 0.05) shift only for bacterial abundance. Likewise, significant (p < 0.05) changes in bacterial community structure were detected in soils collected inside the OTCs, with a clear increase of oligotrophic taxa. On the contrary, fungal diversity of soils collected either inside and outside the OTCs did not exhibit significant (p < 0.05) differences, suggesting that the temperature increase in OTCs compared to ambient conditions was not sufficient to change fungal communities.

摘要

最近研究了全球变暖对欧洲高山生态系统中生物群落的影响。采用六角形开顶箱(OTC)来模拟一些高山土壤中的短期原位升温(估计约为 1°C),以预测正在进行的气候变化对驻留微生物群落的影响。在 3 年的研究中,从 OTC 内或外采集的土壤中提取总微生物 DNA。通过 qPCR 定量细菌和真菌 rRNA 拷贝数。对分类靶基因进行 metabarcoding 测序(Illumina MiSeq),并通过生物信息学工具进行处理。使用 alpha 和 beta 多样性来评估细菌和真菌群落的结构。qPCR 表明,尽管在 OTC 内和外采集的土壤之间存在波动,但模拟升温仅对细菌丰度产生显著(p<0.05)的变化。同样,在 OTC 内采集的土壤中检测到细菌群落结构的显著(p<0.05)变化,贫营养型分类群明显增加。相反,在 OTC 内和外采集的土壤中真菌多样性没有表现出显著(p<0.05)差异,这表明与环境条件相比,OTC 中的温度升高不足以改变真菌群落。

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