Cargando…

Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods

Floods are frequent natural disasters and could have serious impacts on aquatic environments. Eukaryotic communities in artificial canals influenced by floods remain largely unexplored. This study investigated the spatiotemporal variabilities among eukaryotes in response to floods in the Grand Canal...

Descripción completa

Detalles Bibliográficos
Autores principales: Cai, Wei, Li, Huiyu, Wen, Xin, Huang, Huang, Chen, Guwang, Cheng, Haomiao, Wu, Hainan, Piao, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655333/
https://www.ncbi.nlm.nih.gov/pubmed/36360826
http://dx.doi.org/10.3390/ijerph192113948
_version_ 1784829159779860480
author Cai, Wei
Li, Huiyu
Wen, Xin
Huang, Huang
Chen, Guwang
Cheng, Haomiao
Wu, Hainan
Piao, Zhe
author_facet Cai, Wei
Li, Huiyu
Wen, Xin
Huang, Huang
Chen, Guwang
Cheng, Haomiao
Wu, Hainan
Piao, Zhe
author_sort Cai, Wei
collection PubMed
description Floods are frequent natural disasters and could have serious impacts on aquatic environments. Eukaryotic communities in artificial canals influenced by floods remain largely unexplored. This study investigated the spatiotemporal variabilities among eukaryotes in response to floods in the Grand Canal, China. Generally, 781,078 sequence reads were obtained from 18S rRNA gene sequencing, with 304,721 and 476,357 sequence reads detected before and after flooding, respectively. Sediment samples collected after the floods exhibited a higher degree of richness and biodiversity but lower evenness than those before the floods. The eukaryotic communities changed from Fungi-dominated before floods to Stramenopile-dominated after floods. The spatial turnover of various species was the main contributor to the longitudinal construction of eukaryotes both before the floods (β(SIM) = 0.7054) and after the floods (β(SIM) = 0.6858). Some eukaryotic groups responded strongly to floods and might pose unpredictable risks to human health and environmental health. For example, Pezizomycetes, Catenulida, Glomeromycetes, Ellipura, etc. disappeared after the floods. Conversely, Lepocinclis, Synurale, Hibberdiales, Acineta, Diptera, and Rhinosporidium were all frequently detected after the floods, but not prior to the floods. Functional analyses revealed amino acid metabolism, carbohydrate metabolism, translation, and energy metabolism as the main metabolic pathways, predicting great potential for these processes in the Grand Canal.
format Online
Article
Text
id pubmed-9655333
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96553332022-11-15 Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods Cai, Wei Li, Huiyu Wen, Xin Huang, Huang Chen, Guwang Cheng, Haomiao Wu, Hainan Piao, Zhe Int J Environ Res Public Health Article Floods are frequent natural disasters and could have serious impacts on aquatic environments. Eukaryotic communities in artificial canals influenced by floods remain largely unexplored. This study investigated the spatiotemporal variabilities among eukaryotes in response to floods in the Grand Canal, China. Generally, 781,078 sequence reads were obtained from 18S rRNA gene sequencing, with 304,721 and 476,357 sequence reads detected before and after flooding, respectively. Sediment samples collected after the floods exhibited a higher degree of richness and biodiversity but lower evenness than those before the floods. The eukaryotic communities changed from Fungi-dominated before floods to Stramenopile-dominated after floods. The spatial turnover of various species was the main contributor to the longitudinal construction of eukaryotes both before the floods (β(SIM) = 0.7054) and after the floods (β(SIM) = 0.6858). Some eukaryotic groups responded strongly to floods and might pose unpredictable risks to human health and environmental health. For example, Pezizomycetes, Catenulida, Glomeromycetes, Ellipura, etc. disappeared after the floods. Conversely, Lepocinclis, Synurale, Hibberdiales, Acineta, Diptera, and Rhinosporidium were all frequently detected after the floods, but not prior to the floods. Functional analyses revealed amino acid metabolism, carbohydrate metabolism, translation, and energy metabolism as the main metabolic pathways, predicting great potential for these processes in the Grand Canal. MDPI 2022-10-27 /pmc/articles/PMC9655333/ /pubmed/36360826 http://dx.doi.org/10.3390/ijerph192113948 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cai, Wei
Li, Huiyu
Wen, Xin
Huang, Huang
Chen, Guwang
Cheng, Haomiao
Wu, Hainan
Piao, Zhe
Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods
title Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods
title_full Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods
title_fullStr Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods
title_full_unstemmed Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods
title_short Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods
title_sort changes in microeukaryotic communities in the grand canal of china in response to floods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655333/
https://www.ncbi.nlm.nih.gov/pubmed/36360826
http://dx.doi.org/10.3390/ijerph192113948
work_keys_str_mv AT caiwei changesinmicroeukaryoticcommunitiesinthegrandcanalofchinainresponsetofloods
AT lihuiyu changesinmicroeukaryoticcommunitiesinthegrandcanalofchinainresponsetofloods
AT wenxin changesinmicroeukaryoticcommunitiesinthegrandcanalofchinainresponsetofloods
AT huanghuang changesinmicroeukaryoticcommunitiesinthegrandcanalofchinainresponsetofloods
AT chenguwang changesinmicroeukaryoticcommunitiesinthegrandcanalofchinainresponsetofloods
AT chenghaomiao changesinmicroeukaryoticcommunitiesinthegrandcanalofchinainresponsetofloods
AT wuhainan changesinmicroeukaryoticcommunitiesinthegrandcanalofchinainresponsetofloods
AT piaozhe changesinmicroeukaryoticcommunitiesinthegrandcanalofchinainresponsetofloods