IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i16p5680-d395239.html
   My bibliography  Save this article

Ecological Effects of Heavy Metal Pollution on Soil Microbial Community Structure and Diversity on Both Sides of a River around a Mining Area

Author

Listed:
  • Xingqing Zhao

    (School of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, China)

  • Jian Huang

    (School of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, China)

  • Xuyan Zhu

    (School of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, China)

  • Jinchun Chai

    (Department of Civil Engineering and Architecture, Saga University, Saga 8408502, Japan)

  • Xiaoli Ji

    (School of Economics, Changzhou University, Changzhou 213164, China)

Abstract

The objectives of this study were to understand the characteristics of heavy metal pollution caused by mining activities on the two sides of the Shun’an river and the response of soil microorganisms to the habitats by different contamination levels and vegetation. This paper selected soil samples from the banks of the Shun’an River near the Shizishan mining area, which is at the left of the river, in Tongling, Anhui Province, China. Using Illumina MiSeq 2500 technology, we analyzed the relationship between environmental factors and microbial communities. As the distance from the mining area increased, the heavy metal comprehensive pollution and potential risk value decreased. Additionally, the pollution severity and risk value of the left bank, where the mining area lies, were generally higher than those of the right bank. Because the symmetric sampling points on both banks of the river had similar planting types, their environmental factors and microbial community structure were similar and clustered. However, under different vegetation, the paddy soils tended to have a higher nutrient content and community richness and diversity than the vegetable fields or the abandoned land. It was found that soil microbial communities in this area were mostly affected by pH and Nemerow pollution index (P N ). The pH significantly affected the abundance and structure of most microorganisms. In addition, Proteobacteria, Acidobacteria, and Bacteroidetes had significant tolerance to Zn, Pb, and Cd. By exploring the potential use of these tolerant microorganisms, we seek to provide strains and the theoretical basis for the bioremediation of areas contaminated by heavy metal.

Suggested Citation

  • Xingqing Zhao & Jian Huang & Xuyan Zhu & Jinchun Chai & Xiaoli Ji, 2020. "Ecological Effects of Heavy Metal Pollution on Soil Microbial Community Structure and Diversity on Both Sides of a River around a Mining Area," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5680-:d:395239
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/16/5680/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/16/5680/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter J. Turnbaugh & Micah Hamady & Tanya Yatsunenko & Brandi L. Cantarel & Alexis Duncan & Ruth E. Ley & Mitchell L. Sogin & William J. Jones & Bruce A. Roe & Jason P. Affourtit & Michael Egholm & Be, 2009. "A core gut microbiome in obese and lean twins," Nature, Nature, vol. 457(7228), pages 480-484, January.
    2. Yang Guan & Chaofeng Shao & Meiting Ju, 2014. "Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas," IJERPH, MDPI, vol. 11(7), pages 1-18, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chunyong Wang & Bo Zhu & Yitong Guo & Shasha Tian & Zhenbin Zhang & Xintong Hou, 2022. "Assessment of the Pollution of Soil Heavy Metal(loid)s and Its Relation with Soil Microorganisms in Wetland Soils," Sustainability, MDPI, vol. 14(19), pages 1-14, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patrick D Schloss, 2009. "A High-Throughput DNA Sequence Aligner for Microbial Ecology Studies," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-9, December.
    2. John Molloy & Katrina Allen & Fiona Collier & Mimi L. K. Tang & Alister C. Ward & Peter Vuillermin, 2013. "The Potential Link between Gut Microbiota and IgE-Mediated Food Allergy in Early Life," IJERPH, MDPI, vol. 10(12), pages 1-22, December.
    3. Bharati Patel & Kadamb Patel & Shabbir Moochhala, 2020. "Diet-Derived Post-Biotic Metabolites to Promote Microbiota Function and Human Health," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 28(2), pages 21520-21524, June.
    4. Sami Asir Al-Robai, 2023. "Ecological Risk Evaluation of Heavy Metals in Soils near a Water Dam in Baljurashi, KSA, and Their Accumulation in Dodonaea viscosa," Sustainability, MDPI, vol. 15(21), pages 1-17, November.
    5. Ahmed A Metwally & Philip S Yu & Derek Reiman & Yang Dai & Patricia W Finn & David L Perkins, 2019. "Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-16, February.
    6. Pirjo Wacklin & Harri Mäkivuokko & Noora Alakulppi & Janne Nikkilä & Heli Tenkanen & Jarkko Räbinä & Jukka Partanen & Kari Aranko & Jaana Mättö, 2011. "Secretor Genotype (FUT2 gene) Is Strongly Associated with the Composition of Bifidobacteria in the Human Intestine," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-10, May.
    7. Yunxi Liu & R. A. Leo Elworth & Michael D. Jochum & Kjersti M. Aagaard & Todd J. Treangen, 2022. "De novo identification of microbial contaminants in low microbial biomass microbiomes with Squeegee," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    8. C. E. Dubé & M. Ziegler & A. Mercière & E. Boissin & S. Planes & C. A. -F. Bourmaud & C. R. Voolstra, 2021. "Naturally occurring fire coral clones demonstrate a genetic and environmental basis of microbiome composition," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    9. Mariana F. Fernández & Iris Reina-Pérez & Juan Manuel Astorga & Andrea Rodríguez-Carrillo & Julio Plaza-Díaz & Luis Fontana, 2018. "Breast Cancer and Its Relationship with the Microbiota," IJERPH, MDPI, vol. 15(8), pages 1-20, August.
    10. Thomas J Sharpton & Samantha J Riesenfeld & Steven W Kembel & Joshua Ladau & James P O'Dwyer & Jessica L Green & Jonathan A Eisen & Katherine S Pollard, 2011. "PhylOTU: A High-Throughput Procedure Quantifies Microbial Community Diversity and Resolves Novel Taxa from Metagenomic Data," PLOS Computational Biology, Public Library of Science, vol. 7(1), pages 1-13, January.
    11. Sanjeena Subedi & Drew Neish & Stephen Bak & Zeny Feng, 2020. "Cluster analysis of microbiome data by using mixtures of Dirichlet–multinomial regression models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1163-1187, November.
    12. Shinji Fukuda & Yumiko Nakanishi & Eisuke Chikayama & Hiroshi Ohno & Tsuneo Hino & Jun Kikuchi, 2009. "Evaluation and Characterization of Bacterial Metabolic Dynamics with a Novel Profiling Technique, Real-Time Metabolotyping," PLOS ONE, Public Library of Science, vol. 4(3), pages 1-10, March.
    13. Mark Reppell & John Novembre, 2018. "Using pseudoalignment and base quality to accurately quantify microbial community composition," PLOS Computational Biology, Public Library of Science, vol. 14(4), pages 1-23, April.
    14. Hannah Lees & Jonathan Swann & Simon M Poucher & Jeremy K Nicholson & Elaine Holmes & Ian D Wilson & Julian R Marchesi, 2014. "Age and Microenvironment Outweigh Genetic Influence on the Zucker Rat Microbiome," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-11, September.
    15. Xinhui Wang & Marinus J C Eijkemans & Jacco Wallinga & Giske Biesbroek & Krzysztof Trzciński & Elisabeth A M Sanders & Debby Bogaert, 2012. "Multivariate Approach for Studying Interactions between Environmental Variables and Microbial Communities," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    16. Xiahui Wang & Nan Wei & Guohua Ji & Ruiping Liu & Guoxin Huang & Hongzhen Zhang, 2022. "Assessment of the Driving Pollution Factors of Soil Environmental Quality Based on China’s Risk Control Standard: Multiple Bigdata-Based Approaches with Intensive Sampling," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    17. Liat Shenhav & Ori Furman & Leah Briscoe & Mike Thompson & Justin D Silverman & Itzhak Mizrahi & Eran Halperin, 2019. "Modeling the temporal dynamics of the gut microbial community in adults and infants," PLOS Computational Biology, Public Library of Science, vol. 15(6), pages 1-21, June.
    18. Aisling J. Daly & Jan M. Baetens & Bernard De Baets, 2018. "Ecological Diversity: Measuring the Unmeasurable," Mathematics, MDPI, vol. 6(7), pages 1-28, July.
    19. Xuemeng Sun & Xiaoping Li & Dongying Liu & Tao Yang & Yanan Zhao & Ting Wu & Yue Cai & Yuwei Ai & Xu Zhang & Jiwen Wang & Rui Yang & Hongtao Yu & Howard W. Mielke, 2018. "Use of a Survey to Assess the Environmental Exposure and Family Perception to Lead in Children (<6 Years) in Four Valley Cities, Northwestern China," IJERPH, MDPI, vol. 15(4), pages 1-26, April.
    20. Chihiro Morita & Hirokazu Tsuji & Tomokazu Hata & Motoharu Gondo & Shu Takakura & Keisuke Kawai & Kazufumi Yoshihara & Kiyohito Ogata & Koji Nomoto & Kouji Miyazaki & Nobuyuki Sudo, 2015. "Gut Dysbiosis in Patients with Anorexia Nervosa," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-13, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5680-:d:395239. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.