Response differences between soil fungal and bacterial communities under opencast coal mining disturbance conditions

Response differences between soil fungal and bacterial communities under opencast coal mining disturbance conditions
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露天煤矿扰动条件下土壤真菌和细菌群落的响应差异

DOI:
10.1016/j.catena.2020.104779
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发表时间:
2020-11-01
期刊:
影响因子:
6.2
通讯作者:
Bao, Yuying
Bao, Yuying
中科院分区:
农林科学1区
文献类型:
--
作者:
Chen, Jin;Nan, Ji;Bao, Yuying

文献摘要

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尽管在了解干扰对微生物群落的影响方面取得了重大进展,但很少有研究系统地评估与露天煤矿开采相关的环境变化对细菌和真菌群落稳定性的影响。为了弥补这一研究空白,本研究利用Illumina MiSeq高通量测序技术,研究了胜利东2露天煤矿沿距离梯度的土壤微生物群落特征。通过系统发育分析和群落热图方法,我们观察到露天采煤干扰改变了细菌和真菌群落结构,并且与煤炭降解和污染物解毒相关的微生物丰富。LEfSe分析和分子生态网络表明,真菌群落比细菌群落更稳定,尽管物种多样性较低,但具有更多的生物标志物和更紧密、更复杂的生态网络。冗余分析表明,土壤酶在各环境因子中呈一致的紧密聚集,表明土壤酶可能是影响微生物群落稳定性的关键驱动因素。综上所述,我们的研究结果为未来矿区生态恢复提供了创新信息。
Despite significant progress in understanding the effect of disturbances on microbial communities, little research has been performed to systematically assess the stability of bacterial and fungal communities in response to environmental changes associated with opencast coal mining. To address this research gap, in this study, we investigated the characteristics of soil microbial communities along the distance gradient in the Shengli east#2 opencast coal mine using Illumina MiSeq high-throughput sequencing. Through phylogenetic analysis and community heat map approaches, we observed that the structure of bacterial and fungal communities was altered by an opencast coal mining disturbance and that microorganisms associated with coal degradation and pollutant detoxification were enriched. LEfSe analysis and molecular ecological networks revealed that the fungal community was more stable than the bacterial community, as it exhibited more biomarkers and a more connected and complex ecological network despite having a lower species diversity. Redundancy analysis showed that soil enzymes among total environmental factors were consistently and tightly aggregated, suggesting that soil enzymes may be key drivers associated with microbial community stability. In summary, our findings provide innovative information for the ecological restoration of mining areas in the future.