Evidence map›Paper›PMID 25761991›Full record

ArticleEnvironmental science and pollution research international2015

Illumina MiSeq sequencing investigation on the contrasting soil bacterial community structures in different iron mining areas.

Chen Hong, Yanxiao Si, Yi Xing, Yang Li

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
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59citing papers in PubMed
–field-weighted citation impact
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What it found

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3 · Its place in the literature

Who cites it

59 citing papers in PubMed.

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  10. Microbial genomics · 2024
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chen HongSchool of Civil and Environmental Engineering, and Key Laboratory of Metal and Mine Efficiently Exploiting and Safety, Ministry of Education, University of Science and Technology Beijing, 100083, Beijing, People's Republic of China.
Yanxiao Si
Yi Xing
Yang Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mine activities leaked heavy metals into surrounding soil and may affected indigenous microbial communities. In the present study, the diversity and composition of the bacterial community in soil collected from three regions which have different pollution degree, heavy pollution, moderate pollution, and non-pollution, within the catchment of Chao River in Beijing City, were compared using the Illumina MiSeq sequencing technique. Rarefaction results showed that the polluted area had significant higher bacterial alpha diversity than those from unpolluted area. Principal component analysis (PCA) showed that microbial communities in the polluted areas had significant differences compared with the unpolluted area. Moreover, PCA at phylum level and Matastats results demonstrated that communities in locations shared similar phyla diversity, indicating that the bacterial community changes under metal pollution were not reflected on phyla structure. At genus level, the relative abundance of dominant genera changed in sites with degrees of pollution. Genera Bradyrhizobium, Rhodanobacter, Reyranella, and Rhizomicrobium significantly decreased with increasing pollution degree, and their dominance decreased, whereas several genera (e.g., Steroidobacter, Massilia, Arthrobacter, Flavisolibacter, and Roseiflexus) increased and became new dominant genera in the heavily metal-polluted area. The potential resistant bacteria, found within the genera of Thiobacillus, Pseudomonas, Arthrobacter, Microcoleus, Leptolyngbya, and Rhodobacter, are less than 2.0 % in the indigenous bacterial communities, which play an important role in soil ecosystem. This effort to profile the background diversity may set the first stage for better understanding the mechanism underlying the community structure changes under in situ mild heavy metal pollution.

Indexed as

Soil MicrobiologyBacteriaBeijingEcosystemEnvironmental PollutionIronMiningSequence Analysis, DNASoilSoil PollutantsIronSoilSoil Pollutants

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.