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Environ Pollut. 2017 Dec;231(Pt 1):908-917. doi: 10.1016/j.envpol.2017.08.057. Epub 2017 Sep 25.

Response of soil microbial communities and microbial interactions to long-term heavy metal contamination.

Author information

1
School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China; Key Laboratory of Biometallurgy, Ministry of Education, Changsha 410083, China.
2
School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China; Key Laboratory of Biometallurgy, Ministry of Education, Changsha 410083, China; School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland.
3
College of Agronomy, Hunan Agricultural University, Changsha 410128, China.
4
School of Life Science, Hunan University of Science and Technology, Yuhu District, Xiangtan, Hunan Province 411201, China.
5
School of Life Science, Hunan University of Science and Technology, Yuhu District, Xiangtan, Hunan Province 411201, China. Electronic address: mlyan@hnust.edu.cn.

Abstract

Due to the persistence of metals in the ecosystem and their threat to all living organisms, effects of heavy metal on soil microbial communities were widely studied. However, little was known about the interactions among microorganisms in heavy metal-contaminated soils. In the present study, microbial communities in Non (CON), moderately (CL) and severely (CH) contaminated soils were investigated through high-throughput Illumina sequencing of 16s rRNA gene amplicons, and networks were constructed to show the interactions among microbes. Results showed that the microbial community composition was significantly, while the microbial diversity was not significantly affected by heavy metal contamination. Bacteria showed various response to heavy metals. Bacteria that positively correlated with Cd, e.g. Acidobacteria_Gp and Proteobacteria_thiobacillus, had more links between nodes and more positive interactions among microbes in CL- and CH-networks, while bacteria that negatively correlated with Cd, e.g. Longilinea, Gp2 and Gp4 had fewer network links and more negative interactions in CL and CH-networks. Unlike bacteria, members of the archaeal domain, i.e. phyla Crenarchaeota and Euryarchaeota, class Thermoprotei and order Thermoplasmatales showed only positive correlation with Cd and had more network interactions in CH-networks. The present study indicated that (i) the microbial community composition, as well as network interactions was shift to strengthen adaptability of microorganisms to heavy metal contamination, (ii) archaea were resistant to heavy metal contamination and may contribute to the adaption to heavy metals. It was proposed that the contribution might be achieved either by improving environment conditions or by cooperative interactions.

KEYWORDS:

Heavy metal contamination; Microbial community; Microbial interactions; Molecular ecological networks

PMID:
28886536
DOI:
10.1016/j.envpol.2017.08.057
[Indexed for MEDLINE]

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