Heavy metal stress strengthens the stability and complexity of microbial molecular ecological networks in Sanyang wetland sediments

Shengwei WU; Huixi ZOU; Nan LI; Xiufeng YAN; Wen LIU

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Heavy metal stress strengthens the stability and complexity of microbial molecular ecological networks in Sanyang wetland sediments

Ecology | Updated：2025-02-19

- Heavy metal stress strengthens the stability and complexity of microbial molecular ecological networks in Sanyang wetland sediments
- Heavy metal stress strengthens the stability and complexity of microbial molecular ecological networks in Sanyang wetland sediments
- 海洋湖沼学报(英文) 2025年43卷第1期页码：103-118
- Affiliations：
  
  1.College of Life and Environmental Science, Wenzhou University, Wenzhou 325035, China
  2.Institute for Eco-environmental Research of Sanyang Wetland, Wenzhou University, Wenzhou 325035, China
  3.Key Laboratory of Soil Contamination Bioremediation of Zhejiang Province, School of Environmental & Resource Sciences, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China
- Author bio：
  
  yanxiufeng@wzu.edu.cn
  wenliu@zafu.edu.cn
- Funds：
  
  the Major Program of Institute for Eco-environmental Research of Sanyang Wetl(SY2022ZD-1001-05)
- DOI：
  中图分类号：
- 收稿：2024-01-25，
  
  纸质出版：2025-01-01
- Accepted：
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Heavy metal stress strengthens the stability and complexity of microbial molecular ecological networks in Sanyang wetland sediments[J]. 海洋湖沼学报(英文), 2025,43(1):103-118.

WU Shengwei,ZOU Huixi,LI Nan,et al.Heavy metal stress strengthens the stability and complexity of microbial molecular ecological networks in Sanyang wetland sediments[J].Journal of Oceanology and Limnology,2025,43(01):103-118.
Heavy metal stress strengthens the stability and complexity of microbial molecular ecological networks in Sanyang wetland sediments[J]. 海洋湖沼学报(英文), 2025,43(1):103-118. DOI：

WU Shengwei,ZOU Huixi,LI Nan,et al.Heavy metal stress strengthens the stability and complexity of microbial molecular ecological networks in Sanyang wetland sediments[J].Journal of Oceanology and Limnology,2025,43(01):103-118. DOI：

摘要

Abstract

Pollution from heavy metals (HMs) (Cd

and Ni

etc.) has become a serious environmental issue in urban wetland ecosystems with more and more attention. Previous studies conducted in agricultural soils

rivers

and lakes demonstrated that microbial communities exhibit a response to HM pollution. Yet

little is known about the response of microbial communities to HM pollution in urban wetland ecosystems. We examined how heavy metals affect the stability of the microbial networks in the sediments of Sanyang wetland

Wenzhou

China. Key environmental parameters

including HMs

TC (total carbon)

TN (total nitrogen)

TP (total phosphorus)

and pH

varied profoundly between moderately and heavily polluted areas in shaping microbial communities. Specifically

the microbial community composition in moderately polluted sites correlated significantly (

0.05) with Ni

Cd and TP

whereas in heavily polluted sites

they correlated significantly with Cd

and S. Results show that the heavily polluted sites demonstrated more intricate and more stable microbial networks than those of the moderately polluted area. The heavily polluted sites exhibited higher values for various network parameters including total nodes

total links

average degree

average clustering coefficient

connectance

relative modularity

robustness

and cohesion. Moreover

the structural equation modeling analysis demonstrated a positive correlation between the stability of microbial networks and Cd

and S in heavily polluted site

s. Conversely

in moderately polluted sites

the correlation was positively linked to Cd

and sediment pH. It implies that Cd could potentially play a crucial role in affecting the stability of microbial networks. This study shall enhance our comprehension of microbial co-occurrence patterns in urban wetland ecosystems and offer insights into the ways in which microbial communities respond to environmental factors in varying levels of HM pollution.

关键词

Keywords

references

Alahabadi A , Malvandi H . 2018 . Contamination and ecological risk assessment of heavy metals and metalloids in surface sediments of the Tajan River, Iran . Marine Pollution Bulletin , 133 : 741 - 749 , https://doi.‍org/10.1016/j.marpolbul.2018.06.030 https://doi.‍org/10.1016/j.marpolbul.2018.06.030 . https://do 10.1016/j.marpolbul.2018.06.030 http://dx.doi.org/10.1016/j.marpolbul.2018.06.030

Bokulich N A , Subramanian S , Faith J J et al . 2013 . Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing . Nature Methods , 10 ( 1 ): 57 - 59 , https://doi.org/10.1038/nmeth.2276 https://doi.org/10.1038/nmeth.2276 .

Brieuc M S O , Waters C D , Drinan D P et al . 2018 . A practical introduction to random forest for genetic association studies in ecology and evolution . Molecular Ecology Resources , 18 ( 4 ): 755 - 766 , https://doi.org/10.1111/1755-0998.12773 https://doi.org/10.1111/1755-0998.12773 .

Chang B V , Yu C H , Yuan S Y . 2004 . Degradation of nonylphenol by anaerobic microorganisms from river sediment . Chemosphere , 55 ( 4 ): 493 - 500 , https://doi.org/10.1016/j.chemosphere.2004.01.004 https://doi.org/10.1016/j.chemosphere.2004.01.004 .

Chen H L , Arocena J M , Li J B et al . 2012 . Mobility and storage sinks for chromium and other metals in soils impacted by leather tannery wastes . Journal of Environmental Monitoring , 14 ( 12 ): 3240 - 3248 , https://doi.org/10.1039/c2em30452j https://doi.org/10.1039/c2em30452j .

Chen Y , Jiang Y M , Huang H Y et al . 2018 . Long-term and high-concentration heavy-metal contamination strongly influences the microbiome and functional genes in Yellow River sediments . Science of the Total Environment , 637 - 638 : 1400 - 1412 , https://doi.org/10.1016/j.scitotenv.2018.05.109 https://doi.org/10.1016/j.scitotenv.2018.05.109 .

Chen Z M , Chen G Q , Chen B et al . 2009 . Net ecosystem services value of wetland: environmental economic account . Communications in Nonlinear Science and Numerical Simulation , 14 ( 6 ): 2837 - 2843 , https://doi.org/10.1016/j.cnsns.2008.01.021 https://doi.org/10.1016/j.cnsns.2008.01.021 .

China National Environmental Monitoring Centre . 1990 . Background Values of Elements in Soils of China . China Environmental Science Press , Beijing , China. (in Chinese)

Connan O , Maro D , Hébert D et al . 2013 . Wet and dry deposition of particles associated metals (Cd, Pb, Zn, Ni, Hg) in a rural wetland site, Marais Vernier, France . Atmospheric Environment , 67 : 394 - 403 , https://doi.org/10.1016/j.atmosenv.2012.11.029 https://doi.org/10.1016/j.atmosenv.2012.11.029 .

Cornell C R , Zhang Y , Ning D L et al . 2023 . Land use conversion increases network complexity and stability of soil microbial communities in a temperate grassland . The ISME Journal , 17 ( 12 ): 2210 - 2220 , https://doi.org/10.1038/s41396-023-01521-x https://doi.org/10.1038/s41396-023-01521-x .

Dash S , Borah S S , Kalamdhad A S . 2021 . Heavy metal pollution and potential ecological risk assessment for surficial sediments of Deepor Beel, India . Ecological Indicators , 122 : 107265 , https://doi.org/10.1016/j.ecolind.2020.107265 https://doi.org/10.1016/j.ecolind.2020.107265 .

de Almeida Paula Figueira E M , Lima A I G , Pereira S I A . 2005 . Cadmium tolerance plasticity in Rhizobium leguminosarum bv. viciae : glutathione as a detoxifying agent . Canadian Journal of Microbiology , 51 ( 1 ): 7 - 14 , https://doi.org/10.1139/w04-101 https://doi.org/10.1139/w04-101 .

Deng Y , Jiang Y H , Yang Y F et al . 2012 . Molecular ecological network analyses . BMC Bioinformatics , 13 ( 1 ): 113 , https://doi.org/10.1186/1471-2105-13-113 https://doi.org/10.1186/1471-2105-13-113 .

Dombrowski N , Seitz K W , Teske A P et al . 2017 . Genomic insights into potential interdependencies in microbial hydrocarbon and nutrient cycling in hydrothermal sediments . Microbiome , 5 ( 1 ): 106 , https://doi.org/10.1186/s40168-017-0322-2 https://doi.org/10.1186/s40168-017-0322-2 .

Edgar R C . 2013 . UPARSE: highly accurate OTU sequences from microbial amplicon reads . Nature Methods , 10 ( 10 ): 996 - 998 , https://doi.org/10.1038/nmeth.2604 https://doi.org/10.1038/nmeth.2604 .

Gao C , Xu L , Montoya L et al . 2022a . Co-occurrence networks reveal more complexity than community composition in resistance and resilience of microbial communities . Nature Communications , 13 ( 1 ): 3867 , https://doi.org/10.1038/s41467-022-31343-y https://doi.org/10.1038/s41467-022-31343-y .

Gao W K , Liu P , Ye Z H et al . 2022b . Divergent prokaryotic microbial assembly, co-existence patterns and functions in surrounding river sediments of a Cu-polymetallic deposit in Tibet . Science of the Total Environment , 85 : 158192 , https://doi.org/10.1016/j.scitotenv.2022.‍158192 https://doi.org/10.1016/j.scitotenv.2022.‍158192 .

Gauthier P T , Norwood W P , Prepas E E et al . 2014 . Metal-PAH mixtures in the aquatic environment: a review of co-toxic mechanisms leading to more-than-additive outcomes . Aquatic Toxicology , 154 : 253 - 269 , https://doi.org/10.1016/j.aquatox.2014.05.026 https://doi.org/10.1016/j.aquatox.2014.05.026 .

Grace J B , Anderson T M , Olff H et al . 2010 . On the specification of structural equation models for ecological systems . Ecological Monographs , 80 ( 1 ): 67 - 87 , https://doi.org/10.1890/09-0464.1 https://doi.org/10.1890/09-0464.1 .

Gusmão Lima A I , Caçoilo Corticeiro S , de Almeida Paula Figueira E M . 2006 . Glutathione-mediated cadmium sequestration in Rhizobium leguminosarum . Enzyme and Microbial Technology , 39 ( 4 ): 763 - 769 , https://doi.org/10.1016/j.enzmictec.2005.12.009 https://doi.org/10.1016/j.enzmictec.2005.12.009 .

Hallama M , Pekrun C , Lambers H et al . 2019 . Hidden miners–the roles of cover crops and soil microorganisms in phosphorus cycling through agroecosystems . Plant and Soil , 434 ( 1-2 ): 7 - 45 , https://doi.‍‍‍org/10.1007/s11104-018-3810-7 https://doi.‍‍‍org/10.1007/s11104-018-3810-7 . https://do 10.1007/s11104-018-3810-7 http://dx.doi.org/10.1007/s11104-018-3810-7

Hammarlund S P , Harcombe W R . 2019 . Refining the stress gradient hypothesis in a microbial community . Proceedings of the National Academy of Sciences of the United States of America , 116 ( 32 ): 15760 - 15762 , https://doi.org/10.1073/pnas.1910420116 https://doi.org/10.1073/pnas.1910420116 .

Hernandez D J , David A S , Menges E S et al . 2021 . Environmental stress destabilizes microbial networks . The ISME Journal , 15 ( 6 ): 1722 - 1734 , https://doi.‍org/10.1038/s41396-020-00882-x https://doi.‍org/10.1038/s41396-020-00882-x . https://do 10.1038/s41396-020-00882-x http://dx.doi.org/10.1038/s41396-020-00882-x

Herren C M , McMahon K D . 2017 . Cohesion: a method for quantifying the connectivity of microbial communities . The ISME Journal , 11 ( 11 ): 2426 - 2438 , https://doi.org/10.1038/ismej.2017.91 https://doi.org/10.1038/ismej.2017.91 .

Hoek T A , Axelrod K , Biancalani T et al . 2016 . Resource availability modulates the cooperative and competitive nature of a microbial cross-feeding mutualism . PLoS Biology , 14 ( 8 ): e1002540 , https://doi.‍org/10.1371/journal.pbio.1002540 https://doi.‍org/10.1371/journal.pbio.1002540 . https://do 10.1371/journal.pbio.1002540 http://dx.doi.org/10.1371/journal.pbio.1002540

Holguin G , Vazquez P , Bashan Y . 2001 . The role of sediment microorganisms in the productivity, conservation, and rehabilitation of mangrove ecosystems: an overview . Biology and Fertility of Soils , 33 ( 4 ): 265 - 278 , https://doi.org/10.1007/s003740000319 https://doi.org/10.1007/s003740000319 .

Hou D K , He J , Lü C W et al . 2013 . Distribution characteristics and potential ecological risk assessment of heavy metals (Cu, Pb, Zn, Cd) in water and sediments from Lake Dalinouer, China . Ecotoxicology and Environmental Safety , 93 : 135 - 144 , https://doi.org/10.1016/j.ecoenv.2013.03.012 https://doi.org/10.1016/j.ecoenv.2013.03.012 .

Huang B C , Long J , Li J et al . 2022 . Bacterial generalists in earthworm gut had stronger environmental adaptation potential and higher network vulnerability under antimony stress . Journal of Cleaner Production , 380 : 134992 , https://doi.org/10.1016/j.jclepro.2022.134992 https://doi.org/10.1016/j.jclepro.2022.134992 .

Jayawardena U A , Wickramasinghe D D , Udagama P V . 2021 . Cytogenotoxicity evaluation of a heavy metal mixture, detected in a polluted urban wetland: micronucleus and comet induction in the Indian green frog ( Euphlyctis hexadactylus ) erythrocytes and the Allium cepa bioassay . Chemosphere , 277 : 130278 , https://doi.org/10.1016/j.chemosphere.2021‍.‍130278 https://doi.org/10.1016/j.chemosphere.2021‍.‍130278 .

Ji Z H , Zhang Y , Zhang H et al . 2019 . Fraction spatial distributions and ecological risk assessment of heavy metals in the sediments of Baiyangdian Lake . Ecotoxicology and Environmental Safety , 174 : 417 - 428 , https://doi.org/10.1016/j.ecoenv.2019.02.062 https://doi.org/10.1016/j.ecoenv.2019.02.062 .

Kumar V , Pandita S , Setia R . 2022 . A meta-analysis of potential ecological risk evaluation of heavy metals in sediments and soils . Gondwana Research , 103 : 487 - 501 , https://doi.org/10.1016/j.gr.2021.10.028 https://doi.org/10.1016/j.gr.2021.10.028 .

Lefcheck J S . 2016 . PIECEWISESEM: piecewise structural equation modelling in R for ecology, evolution, and systematics . Methods in Ecology and Evolution , 7 ( 5 ): 573 - 579 , https://doi.org/10.1111/2041-210x.12512 https://doi.org/10.1111/2041-210x.12512 .

Li C S , Cui C Z , Zhang J et al . 2023a . Biodegradation of petroleum hydrocarbons based pollutants in contaminated soil by exogenous effective microorganisms and indigenous microbiome . Ecotoxicology and Environmental Safety , 253 : 114673 , https://doi.org/10.1016/j.ecoenv.2023.114673 https://doi.org/10.1016/j.ecoenv.2023.114673 .

Li M M , Yao J , Sunahara G et al . 2023b . Assembly processes of bacterial and fungal communities in metal(loid)s smelter soil . Journal of Hazardous Materials , 451 : 131153 , https://doi.org/10.1016/j.jhazmat.2023.131153 https://doi.org/10.1016/j.jhazmat.2023.131153 .

Li X Q , Meng D L , Li J et al . 2017a . Response of soil microbial communities and microbial interactions to long-term heavy metal contamination . Environmental Pollution , 231 : 908 - 917 , https://doi.‍org/10.1016/j.‍envpol.2017.08.057 https://doi.‍org/10.1016/j.‍envpol.2017.08.057 .

Li Y B , Arocena J M , Zhang Q et al . 2017b . Heavy metals and nutrients (carbon, nitrogen, and phosphorus) in sediments: relationships to land uses, environmental risks, and management . Environmental Science and Pollution Research , 24 ( 8 ): 7403 - 7412 , https://doi.org/10.1007/s11356-017-8385-y https://doi.org/10.1007/s11356-017-8385-y .

Li Y B , Wu D , Thring R W et al . 2016 . Bathymetric modeling of sediments and organic carbon of polluted rivers in southeastern China . Journal of Soils and Sediments , 16 ( 9 ): 2296 - 2305 , https://doi.org/10.1007/s11368-016-1451-0 https://doi.org/10.1007/s11368-016-1451-0 .

Liu G N , Yu Y J , Hou J et al . 2014 . An ecological risk assessment of heavy metal pollution of the agricultural ecosystem near a lead-acid battery factory . Ecological Indicators , 47 : 210 - 218 , https://doi.org/10.1016/j.ecolind.2014.04.040 https://doi.org/10.1016/j.ecolind.2014.04.040 .

Liu L , Gao Y , Yang W J et al . 2023a . Community metagenomics reveals the processes of nutrient cycling regulated by microbial functions in soils with P fertilizer input . Plant and Soil , https://doi.org/10.1007/s11104-023-05875-1 https://doi.org/10.1007/s11104-023-05875-1 .

Liu S W , Yu H , Yu Y H et al . 2022 . Ecological stability of microbial communities in Lake Donghu regulated by keystone taxa . Ecological Indicators , 136 : 108695 , https://doi.org/10.1016/j.ecolind.2022.108695 https://doi.org/10.1016/j.ecolind.2022.108695 .

Liu W , Zou H X , Wu S W et al . 2023b . Growth promotion of Sargassum fusiforme by epiphytic microbes is dependent on the extent of interspecific interactions of the microbial community . Science of the Total Environment , 897 : 165449 , https://doi.org/10.1016/j.scitotenv.2023.165449 https://doi.org/10.1016/j.scitotenv.2023.165449 .

Liu W H , Zhao J Z , Ouyang Z Y et al . 2005 . Impacts of sewage irrigation on heavy metal distribution and contamination in Beijing, China . Environment International , 31 ( 6 ): 805 - 812 , https://doi.org/10.1016/j.envint.2005.05.042 https://doi.org/10.1016/j.envint.2005.05.042 .

Lloyd J R , Ridley J , Khizniak T et al . 1999 . Reduction of technetium by Desulfovibrio desulfuricans : biocatalyst characterization and use in a flowthrough bioreactor . Applied and Environmental Microbiology , 65 ( 6 ): 2691 - 2696 , https://doi.org/10.1128/AEM.65.6.2691-2696.1999 https://doi.org/10.1128/AEM.65.6.2691-2696.1999 .

Long Y C , Jiang J , Hu X J et al . 2021 . The response of microbial community structure and sediment properties to anthropogenic activities in Caohai wetland sediments . Ecotoxicology and Environmental Safety , 211 : 111936 , https://doi.org/10.1016/j.ecoenv.2021.111936 https://doi.org/10.1016/j.ecoenv.2021.111936 .

Ma B , Wang H Z , Dsouza M et al . 2016 . Geographic patterns of co-occurrence network topological features for soil microbiota at continental scale in eastern China . The ISME Journal , 10 ( 8 ): 1891 - 1901 , https://doi.org/10.1038/ismej.2015.261 https://doi.org/10.1038/ismej.2015.261 .

Mao X F , Wei X Y , Jin X et al . 2019 . Monitoring urban wetlands restoration in Qinghai Plateau: integrated performance from ecological characters, ecological processes to ecosystem services . Ecological Indicators , 101 : 623 - 631 , https://doi.‍org/10.1016/j‍.‍ecolind.2019.01.066 https://doi.‍org/10.1016/j‍.‍ecolind.2019.01.066 . https://do 10.1016/j.ecolind.2019.01.066 http://dx.doi.org/10.1016/j.ecolind.2019.01.066

Olesen J M , Bascompte J , Dupont Y L et al . 2006 . The smallest of all worlds: pollination networks . Journal of Theoretical Biology , 240 ( 2 ): 270 - 276 , https://doi.org/10.1016/j.jtbi.2005.09.014 https://doi.org/10.1016/j.jtbi.2005.09.014 .

Palansooriya K N , Shaheen S M , Chen S S et al . 2020 . Soil amendments for immobilization of potentially toxic elements in contaminated soils: a critical review . Environment International , 134 : 105046 , https://doi.org/10.1016/j.envint.2019.105046 https://doi.org/10.1016/j.envint.2019.105046 .

Piccardi P , Vessman B , Mitri S . 2019 . Toxicity drives facilitation between 4 bacterial species . Proceedings of the National Academy of Sciences of the United States of America , 116 ( 32 ): 15979 - 15984 , https://doi.org/10.1073/pnas.1906172116 https://doi.org/10.1073/pnas.1906172116 .

Ren X Y , Zeng G M , Tang L et al . 2018 . Sorption, transport and biodegradation—an insight into bioavailability of persistent organic pollutants in soil . Science of the Total Environment , 610 - 611 : 1154 - 1163 , https://doi.org/10.1016/j.scitotenv.2017.08.089 https://doi.org/10.1016/j.scitotenv.2017.08.089 .

Sabri S , Hashemi S S , Maleki B R et al . 2014 . Generalization of Brody distribution for statistical investigation . Random Matrices: Theory and Applications , 3 ( 4 ): 1450017 , https://doi.org/10.1142/S2010326314500178 https://doi.org/10.1142/S2010326314500178 .

Shao S , Liu H , Tai X Q et al . 2020 . Speciation and migration of heavy metals in sediment cores of urban wetland: bioavailability and risks . Environmental Science and Pollution Research , 27 ( 19 ): 23914 - 23925 , https://doi.org/10.1007/s11356-020-08719-y https://doi.org/10.1007/s11356-020-08719-y .

Shi S J , Nuccio E E , Shi Z J et al . 2016 . The interconnected rhizosphere: high network complexity dominates rhizosphere assemblages . Ecology Letters , 19 ( 8 ): 926 - 936 , https://doi.org/10.1111/ele.12630 https://doi.org/10.1111/ele.12630 .

Shi W C , Li T , Feng Y et al . 2022 . Source apportionment and risk assessment for available occurrence forms of heavy metals in Dongdahe Wetland sediments, southwest of China . Science of the Total Environment , 815 : 152837 , https://doi.org/10.1016/j.scitotenv.2021.152837 https://doi.org/10.1016/j.scitotenv.2021.152837 .

Shu W , Li F D , Zhang Q Y et al . 2023 . Pollution caused by mining reshaped the structure and function of bacterial communities in China’s largest ion-adsorption rare earth mine watershed . Journal of Hazardous Materials , 451 : 131221 , https://doi.org/10.1016/j.jhazmat.2023.131221 https://doi.org/10.1016/j.jhazmat.2023.131221 .

Silva Santos M V , da Silva Júnior J B , de Carvalho C E V et al . 2020 . Geochemical evaluation of potentially toxic elements determined in surface sediment collected in an area under the influence of gold mining . Marine Pollution Bulletin , 158 : 111384 , https://doi.‍org/10.1016/j.marpolbul.2020.111384 https://doi.‍org/10.1016/j.marpolbul.2020.111384 . https://do 10.1016/j.marpolbul.2020.111384 http://dx.doi.org/10.1016/j.marpolbul.2020.111384

Sims A , Zhang Y Y , Gajaraj S et al . 2013 . Toward the development of microbial indicators for wetland assessment . Water Research , 47 ( 5 ): 1711 - 1725 , https://doi.org/10.1016/j.watres.2013.01.023 https://doi.org/10.1016/j.watres.2013.01.023 .

Smith W L and Gadd G M . 2000 . Reduction and precipitation of chromate by mixed culture sulphate-reducing bacterial biofilms . Journal of Applied Microbiology , 88 ( 16 ): 983 - 991 , https://doi.‍org/10.1046/j.1365-2672.2000.01066.x https://doi.‍org/10.1046/j.1365-2672.2000.01066.x . https://do 10.1046/j.1365-2672.2000.01066.x http://dx.doi.org/10.1046/j.1365-2672.2000.01066.x

Sojka M , Jaskuła J , Barabach J et al . 2022 . Heavy metals in lake surface sediments in protected areas in Poland: concentration, pollution, ecological risk, sources and spatial distribution . Scientific Reports , 12 ( 1 ): 15006 , https://doi.org/10.1038/s41598-022-19298-y https://doi.org/10.1038/s41598-022-19298-y .

Song F , Su F L , Mi C X et al . 2021 . Analysis of driving forces on wetland ecosystem services value change: a case in Northeast China . Science of the Total Environment , 751 : 141778 , https://doi.org/10.1016/j.scitotenv.2020.141778 https://doi.org/10.1016/j.scitotenv.2020.141778 .

Sprocati A R , Alisi C , Segre L et al . 2006 . Investigating heavy metal resistance, bioaccumulation and metabolic profile of a metallophile microbial consortium native to an abandoned mine . Science of the Total Environment , 366 ( 2-3 ): 649 - 658 , https://doi.org/10.1016/j.scitotenv.2006.01.025 https://doi.org/10.1016/j.scitotenv.2006.01.025 .

Sun M Y , Dafforn K A , Johnston E L et al . 2013 . Core sediment bacteria drive community response to anthropogenic contamination over multiple environmental gradients . Environmental Microbiology , 15 ( 9 ): 2517 - 2531 , https://doi.org/10.1111/1462-2920.12133 https://doi.org/10.1111/1462-2920.12133 .

Tao K , Liu Y X , Ke T et al . 2019 . Patterns of bacterial and archaeal communities in sediments in response to dam construction and sewage discharge in Lhasa River . Ecotoxicology and Environmental Safety , 178 : 195 - 201 , https://doi.org/10.1016/j.ecoenv.2019.03.107 https://doi.org/10.1016/j.ecoenv.2019.03.107 .

Tian P , Liu S E , Zhao X C et al . 2021 . Past climate conditions predict the influence of nitrogen enrichment on the temperature sensitivity of soil respiration . Communications Earth & Environment , 2 ( 1 ): 251 , https://doi.org/10.1038/s43247-021-00324-2 https://doi.org/10.1038/s43247-021-00324-2 .

Tong C F , Feagin R A , Lu J J et al . 2007 . Ecosystem service values and restoration in the urban Sanyang wetland of Wenzhou, China . Ecological Engineering , 29 ( 3 ): 249 - 258 , https://doi.org/10.1016/j.ecoleng.2006.03.002 https://doi.org/10.1016/j.ecoleng.2006.03.002 .

Urakawa H , Bernhard A E . 2017 . Wetland management using microbial indicators . Ecological Engineering , 108 : 456 - 476 , https://doi.org/10.1016/j.ecoleng.2017.07.022 https://doi.org/10.1016/j.ecoleng.2017.07.022 .

Vardhan K H , Kumar P S , Panda R C . 2019 . A review on heavy metal pollution, toxicity and remedial measures: current trends and future perspectives . Journal of Molecular Liquids , 290 : 111197 , https://doi.org/10.1016/j.molliq.2019.111197 https://doi.org/10.1016/j.molliq.2019.111197 .

Velez P , Espinosa-Asuar L , Figueroa M et al . 2018 . Nutrient dependent cross-kingdom interactions: fungi and bacteria from an oligotrophic desert oasis . Frontiers in Microbiology , 9 : 1755 , https://doi.org/10.3389/fmicb.2018.01755 https://doi.org/10.3389/fmicb.2018.01755 .

Wang F , Yao J , Si Y et al . 2010 . Short-time effect of heavy metals upon microbial community activity . Journal of Hazardous Materials , 173 ( 1-3 ): 510 - 516 , https://doi.‍org/10.1016/j.jhazmat.2009.08.114 https://doi.‍org/10.1016/j.jhazmat.2009.08.114 . https://do 10.1016/j.jhazmat.2009.08.114 http://dx.doi.org/10.1016/j.jhazmat.2009.08.114

Wang M , Chen S B , Chen L et al . 2019a . Responses of soil microbial communities and their network interactions to saline-alkaline stress in Cd-contaminated soils . Environmental Pollution , 252 : 1609 - 1621 , https://doi.org/10.1016/j.envpol.2019.06.082 https://doi.org/10.1016/j.envpol.2019.06.082 .

Wang Q , Garrity G M , Tiedje J M et al . 2007 . Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy . Applied and Environmental Microbiology , 73 ( 16 ): 5261 - 5267 , https://doi.org/10.1128/AEM.00062-07 https://doi.org/10.1128/AEM.00062-07 .

Wang W J , Yi Y J , Yang Y F et al . 2020 . Impact of anthropogenic activities on the sediment microbial communities of Baiyangdian shallow lake . International Journal of Sediment Research , 35 ( 2 ): 180 - 192 , https://doi.org/10.1016/j.ijsrc.2019.10.006 https://doi.org/10.1016/j.ijsrc.2019.10.006 .

Wang X , Teng Y , Wang X M et al . 2022 . Effects of combined pollution of organic pollutants and heavy metals on biodiversity and soil multifunctionality in e-waste contaminated soil . Journal of Hazardous Materials , 440 : 129727 , https://doi.org/10.1016/j.jhazmat.2022.129727 https://doi.org/10.1016/j.jhazmat.2022.129727 .

Wang X H , Ya T , Zhang M L et al . 2019b . Cadmium (II) alters the microbial community structure and molecular ecological network in activated sludge system . Environmental Pollution , 255 : 113225 , https://doi.org/10.1016/j.envpol.2019.113225 https://doi.org/10.1016/j.envpol.2019.113225 .

Wasimuddin , Schlaeppi K , Ronchi F et al . 2020 . Evaluation of primer pairs for microbiome profiling from soils to humans within the One Health framework . Molecular Ecology Resources , 20 ( 6 ): 1558 - 1571 , https://doi.‍org/10.1111/1755-0998.13215 https://doi.‍org/10.1111/1755-0998.13215 . https://do 10.1111/1755-0998.13215 http://dx.doi.org/10.1111/1755-0998.13215

Wen T , Xie P H , Yang S D et al . 2022 . ggClusterNet: an R package for microbiome network analysis and modularity‐based multiple network layouts . iMeta , 1 ( 3 ): e32 , https://doi.org/10.1002/imt2.32 https://doi.org/10.1002/imt2.32 .

Wilson C E , Lopatkin A J , Craddock T J A et al . 2017 . Cooperation and competition shape ecological resistance during periodic spatial disturbance of engineered bacteria . Scientific Reports , 7 ( 1 ): 440 , https://doi.‍org/10.1038/s41598-017-00588-9 https://doi.‍org/10.1038/s41598-017-00588-9 . https://do 10.1038/s41598-017-00588-9 http://dx.doi.org/10.1038/s41598-017-00588-9

Wu C Y , Chen W . 2020 . Indicator system construction and health assessment of wetland ecosystem—taking Hongze Lake Wetland, China as an example . Ecological Indicators , 112 : 106164 , https://doi.org/10.1016/j.ecolind.2020.106164 https://doi.org/10.1016/j.ecolind.2020.106164 .

Wu Q H , Leung J Y S , Geng X H et al . 2015 . Heavy metal contamination of soil and water in the vicinity of an abandoned e-waste recycling site: implications for dissemination of heavy metals . Science of the Total Environment , 506 - 507 : 217 - 225 , https://doi.‍org/10.1016/j.scitotenv.2014.10.121 https://doi.‍org/10.1016/j.scitotenv.2014.10.121 .

Xia F , Qu L Y , Wang T et al . 2018 . Distribution and source analysis of heavy metal pollutants in sediments of a rapid developing urban river system . Chemosphere , 207 : 218 - 228 , https://doi.org/10.1016/j.chemosphere.2018.05.090 https://doi.org/10.1016/j.chemosphere.2018.05.090 .

Xie Y , Bu H S , Feng Q J et al . 2021 . Identification of Cd-resistant microorganisms from heavy metal-contaminated soil and its potential in promoting the growth and Cd accumulation of bermudagrass . Environmental Research , 200 : 111730 , https://doi.org/10.1016/j.envres.2021.111730 https://doi.org/10.1016/j.envres.2021.111730 .

Xu X M , Chen H , Hu J Y et al . 2022 . Unveil the role of dissolved and sedimentary metal(loid)s on bacterial communities and metal resistance genes (MRGs) in an urban river of the Qinghai-Tibet Plateau . Water Research , 211 : 118050 , https://doi.org/10.1016/j.watres.2022.118050 https://doi.org/10.1016/j.watres.2022.118050 .

Yang S Q , Chen Q , Zheng T et al . 2022 . Multiple metal(loid) contamination reshaped the structure and function of soil archaeal community . Journal of Hazardous Materials , 436 : 129186 , https://doi.org/10.1016/j.jhazmat.2022.129186 https://doi.org/10.1016/j.jhazmat.2022.129186 .

Yao Y , Zhao J Q , Miao L Z et al . 2022 . Effects of sediment physicochemical factors and heavy metals on the diversity, structure, and functions of bacterial and fungal communities from a eutrophic river . Environmental Pollution , 303 : 119129 , https://doi.org/10.1016/j.envpol.2022.119129 https://doi.org/10.1016/j.envpol.2022.119129 .

Yu C F , Zhu Z Y , Meng K et al . 2023 . Unveiling the impact and mechanisms of Cd-driven ecological assembly and coexistence of bacterial communities in coastal sediments of Yellow Sea . Journal of Hazardous Materials , 460 : 132309 , https://doi.org/10.1016/j.jhazmat.2023.132309 https://doi.org/10.1016/j.jhazmat.2023.132309 .

Yuan M M , Guo X , Wu L W et al . 2021 . Climate warming enhances microbial network complexity and stability . Nature Climate Change , 11 ( 4 ): 343 - 348 , https://doi.‍org/10.1038/s41558-021-00989-9 https://doi.‍org/10.1038/s41558-021-00989-9 . https://do 10.1038/s41558-021-00989-9 http://dx.doi.org/10.1038/s41558-021-00989-9

Yuan S Y , Liu C , Liao C S et al . 2002 . Occurrence and microbial degradation of phthalate esters in Taiwan river sediments . Chemosphere , 49 ( 10 ): 1295 - 1299 , https://doi.org/10.1016/S0045-6535(02)00495-2 https://doi.org/10.1016/S0045-6535(02)00495-2 .

Zhang B G , Zhang J , Liu Y et al . 2018 . Co-occurrence patterns of soybean rhizosphere microbiome at a continental scale . Soil Biology and Biochemistry , 118 : 178 - 186 , https://doi.org/10.1016/j.soilbio.2017.12.011 https://doi.org/10.1016/j.soilbio.2017.12.011 .

Zhang G L , Bai J H , Zhao Q Q et al . 2016 . Heavy metals in wetland soils along a wetland-forming chronosequence in the Yellow River Delta of China: levels, sources and toxic risks . Ecological Indicators , 69 : 331 - 339 , https://doi.org/10.1016/j.ecolind.2016.04.042 https://doi.org/10.1016/j.ecolind.2016.04.042 .

Zhang L , Tu D M , Li X C et al . 2020 . Impact of long-term industrial contamination on the bacterial communities in urban river sediments . BMC Microbiology , 20 ( 1 ): 254 , https://doi.org/10.1186/s12866-020-01937-x https://doi.org/10.1186/s12866-020-01937-x .

Zhang X Y , Xia X J , Dai M et al . 2021 . Microplastic pollution and its relationship with the bacterial community in coastal sediments near Guangdong Province, South China . Science of the Total Environment , 760 : 144091 , https://doi.‍org/10.1016/j.‍scitotenv.‍2020.144091 https://doi.‍org/10.1016/j.‍scitotenv.‍2020.144091 . https://do 10.1016/j.scitotenv.2020.144091 http://dx.doi.org/10.1016/j.scitotenv.2020.144091

Zhao X Q , Huang J , Lu J et al . 2019 . Study on the influence of soil microbial community on the long-term heavy metal pollution of different land use types and depth layers in mine . Ecotoxicology and Environmental Safety , 170 : 218 - 226 , https://doi.org/10.1016/j.‍ecoenv.2018.11.136 https://doi.org/10.1016/j.‍ecoenv.2018.11.136 .

Zhou J Z , Deng Y , Luo F et al . 2010 . Functional molecular ecological networks . mBio , 1 ( 4 ): e00169 - 10 , https://doi.org/10.1128/mBio.00169-10 https://doi.org/10.1128/mBio.00169-10 .

Zhou J Z , Deng Y , Luo F et al . 2011 . Phylogenetic molecular ecological network of soil microbial communities in response to elevated CO 2 . mBio , 2 ( 4 ): e00122 - 11 , https://doi.org/10.1128/mBio.00122-11 https://doi.org/10.1128/mBio.00122-11 .

Zhou Q L , Li K M , Jun X et al . 2009 . Role and functions of beneficial microorganisms in sustainable aquaculture . Bioresource Technology , 100 ( 16 ): 3780 - 3786 , https://doi.org/10.1016/j.biortech.2008.12.037 https://doi.org/10.1016/j.biortech.2008.12.037 .

Zhou Q Y , Sun B Y , Xie B H et al . 2021 . Warming reshaped the microbial hierarchical interactions . Global Change Biology , 27 ( 24 ): 6331 - 6347 , https://doi.‍org/10.1111/gcb.15891 https://doi.‍org/10.1111/gcb.15891 . https://do 10.1111/gcb.15891 http://dx.doi.org/10.1111/gcb.15891

Zhu S L , Zhang Z L , Žagar D . 2018 . Mercury transport and fate models in aquatic systems: a review and synthesis . Science of the Total Environment , 639 : 538 - 549 , https://doi.org/10.1016/j.‍scitotenv.2018.04.397 https://doi.org/10.1016/j.‍scitotenv.2018.04.397 .

Zuñiga C , Li C T , Yu G et al . 2019 . Environmental stimuli drive a transition from cooperation to competition in synthetic phototrophic communities . Nature Microbiology , 4 ( 12 ): 2184 - 2191 , https://doi.org/10.1038/s41564-019-0567-6 https://doi.org/10.1038/s41564-019-0567-6 .

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