Keystone taxa of water microbiome respond to environmental quality and predict water contamination.

Wang, Binhao; Zheng, Xiafei; Zhang, Hangjun; Xiao, Fanshu; He, Zhili; Yan, Qingyun

Wang, Binhao; Zheng, Xiafei; Zhang, Hangjun; Xiao, Fanshu; He, Zhili; Yan, Qingyun.

Afiliação

Wang B; Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, 510006, China.
Zheng X; Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, 510006, China.
Zhang H; College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China.
Xiao F; Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, 510006, China. Electronic address: xiaofansh@mail.sysu.edu.cn.
He Z; Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, 510006, China; College of Agronomy, Hunan Agricultural University, Changsha, 410128, China.
Yan Q; Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, 510006, China. Electronic address: yanqy6@mail.sysu.edu.cn.

Environ Res ; 187: 109666, 2020 08.

Article em En | MEDLINE | ID: mdl-32445949

Assuntos

Microbiota; Bactérias/genética; Humanos; Poluição da Água; Áreas Alagadas

Palavras-chave

Keystone taxa; Microbial communities; Non-linear responses; Tipping points; Urban wetlands; Water quality prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiota Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Environ Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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