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Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake

Agricultural activities, including stock-farming, planting industry, and fish aquaculture, can affect the physicochemical and biological characters of freshwater lakes. However, the effects of pollution producing by agricultural activities on microbial ecosystem of lakes remain unclear. Hence, in th...

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Autores principales: Han, Maozhen, Dsouza, Melissa, Zhou, Chunyu, Li, Hongjun, Zhang, Junqian, Chen, Chaoyun, Yao, Qi, Zhong, Chaofang, Zhou, Hao, Gilbert, Jack A, Wang, Zhi, Ning, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520916/
https://www.ncbi.nlm.nih.gov/pubmed/31026580
http://dx.doi.org/10.1016/j.gpb.2018.04.008
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author Han, Maozhen
Dsouza, Melissa
Zhou, Chunyu
Li, Hongjun
Zhang, Junqian
Chen, Chaoyun
Yao, Qi
Zhong, Chaofang
Zhou, Hao
Gilbert, Jack A
Wang, Zhi
Ning, Kang
author_facet Han, Maozhen
Dsouza, Melissa
Zhou, Chunyu
Li, Hongjun
Zhang, Junqian
Chen, Chaoyun
Yao, Qi
Zhong, Chaofang
Zhou, Hao
Gilbert, Jack A
Wang, Zhi
Ning, Kang
author_sort Han, Maozhen
collection PubMed
description Agricultural activities, including stock-farming, planting industry, and fish aquaculture, can affect the physicochemical and biological characters of freshwater lakes. However, the effects of pollution producing by agricultural activities on microbial ecosystem of lakes remain unclear. Hence, in this work, we selected Honghu Lake as a typical lake that is influenced by agriculture activities. We collected water and sediment samples from 18 sites, which span a wide range of areas from impacted and less-impacted areas. We performed a geospatial analysis on the composition of microbial communities associated with physicochemical properties and antibiotic pollution of samples. The co-occurrence networks of water and sediment were also built and analyzed. Our results showed that the microbial communities of impacted and less-impacted samples of water were largely driven by the concentrations of TN, TP, NO(3)(−)-N, and NO(2)(−)-N, while those of sediment were affected by the concentrations of Sed-OM and Sed-TN. Antibiotics have also played important roles in shaping these microbial communities: the concentrations of oxytetracycline and tetracycline clearly reflected the variance in taxonomic diversity and predicted functional diversity between impacted and less-impacted sites in water and sediment samples, respectively. Furthermore, for samples from both water and sediment, large differences of network topology structures between impacted and less-impacted were also observed. Our results provide compelling evidence that the microbial community can be used as a sentinel of eutrophication and antibiotics pollution risk associated with agricultural activity; and that proper monitoring of this environment is vital to maintain a sustainable environment in Honghu Lake.
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spelling pubmed-65209162019-05-23 Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake Han, Maozhen Dsouza, Melissa Zhou, Chunyu Li, Hongjun Zhang, Junqian Chen, Chaoyun Yao, Qi Zhong, Chaofang Zhou, Hao Gilbert, Jack A Wang, Zhi Ning, Kang Genomics Proteomics Bioinformatics Original Research Agricultural activities, including stock-farming, planting industry, and fish aquaculture, can affect the physicochemical and biological characters of freshwater lakes. However, the effects of pollution producing by agricultural activities on microbial ecosystem of lakes remain unclear. Hence, in this work, we selected Honghu Lake as a typical lake that is influenced by agriculture activities. We collected water and sediment samples from 18 sites, which span a wide range of areas from impacted and less-impacted areas. We performed a geospatial analysis on the composition of microbial communities associated with physicochemical properties and antibiotic pollution of samples. The co-occurrence networks of water and sediment were also built and analyzed. Our results showed that the microbial communities of impacted and less-impacted samples of water were largely driven by the concentrations of TN, TP, NO(3)(−)-N, and NO(2)(−)-N, while those of sediment were affected by the concentrations of Sed-OM and Sed-TN. Antibiotics have also played important roles in shaping these microbial communities: the concentrations of oxytetracycline and tetracycline clearly reflected the variance in taxonomic diversity and predicted functional diversity between impacted and less-impacted sites in water and sediment samples, respectively. Furthermore, for samples from both water and sediment, large differences of network topology structures between impacted and less-impacted were also observed. Our results provide compelling evidence that the microbial community can be used as a sentinel of eutrophication and antibiotics pollution risk associated with agricultural activity; and that proper monitoring of this environment is vital to maintain a sustainable environment in Honghu Lake. Elsevier 2019-02 2019-04-23 /pmc/articles/PMC6520916/ /pubmed/31026580 http://dx.doi.org/10.1016/j.gpb.2018.04.008 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Research
Han, Maozhen
Dsouza, Melissa
Zhou, Chunyu
Li, Hongjun
Zhang, Junqian
Chen, Chaoyun
Yao, Qi
Zhong, Chaofang
Zhou, Hao
Gilbert, Jack A
Wang, Zhi
Ning, Kang
Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake
title Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake
title_full Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake
title_fullStr Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake
title_full_unstemmed Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake
title_short Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake
title_sort agricultural risk factors influence microbial ecology in honghu lake
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520916/
https://www.ncbi.nlm.nih.gov/pubmed/31026580
http://dx.doi.org/10.1016/j.gpb.2018.04.008
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