Distribution patterns and co-occurrence network of eukaryotic algae in different salinity waters of Yuncheng Salt Lake, China
Abstract The community structure and co-occurrence pattern of eukaryotic algae in Yuncheng Salt Lake were analyzed based on marker gene analysis of the 18S rRNA V4 region to understand the species composition and their synergistic adaptations to the environmental factors in different salinity waters...
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Nature Portfolio
2024-04-01
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Online Access: | https://doi.org/10.1038/s41598-024-58636-0 |
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author | Jing Yang Chuanxu Wang Zhuo Wang Yunjie Li Huiying Yu Jia Feng Shulian Xie Xin Li |
author_facet | Jing Yang Chuanxu Wang Zhuo Wang Yunjie Li Huiying Yu Jia Feng Shulian Xie Xin Li |
author_sort | Jing Yang |
collection | DOAJ |
description | Abstract The community structure and co-occurrence pattern of eukaryotic algae in Yuncheng Salt Lake were analyzed based on marker gene analysis of the 18S rRNA V4 region to understand the species composition and their synergistic adaptations to the environmental factors in different salinity waters. The results showed indicated that the overall algal composition of Yuncheng Salt Lake showed a Chlorophyta-Pyrrophyta-Bacillariophyta type structure. Chlorophyta showed an absolute advantage in all salinity waters. In addition, Cryptophyta dominated in the least saline waters; Pyrrophyta and Bacillariophyta were the dominant phyla in the waters with salinity ranging from 13.2 to 18%. Picochlorum, Nannochloris, Ulva, and Tetraselmis of Chlorophyta, Biecheleria and Oxyrrhis of Pyrrophyta, Halamphora, Psammothidium, and Navicula of Bacillariophyta, Guillardia and Rhodomonas of Cryptophyta were not observed in previous surveys of the Yuncheng Salt Lake, suggesting that the algae are undergoing a constant turnover as the water environment of the Salt Lake continues to change. The network diagram demonstrated that the algae were strongly influenced by salinity, NO3 −, and pH, changes in these environmental factors would lead to changes in the algal community structure, thus affecting the stability of the network structure. |
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language | English |
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spelling | doaj.art-41d97a316431497db99e1367ff21d8e52024-04-14T11:12:54ZengNature PortfolioScientific Reports2045-23222024-04-0114111110.1038/s41598-024-58636-0Distribution patterns and co-occurrence network of eukaryotic algae in different salinity waters of Yuncheng Salt Lake, ChinaJing Yang0Chuanxu Wang1Zhuo Wang2Yunjie Li3Huiying Yu4Jia Feng5Shulian Xie6Xin Li7Shanxi Key Laboratory of Yuncheng Salt Lake Ecological Protection and Resource Utilization, College of Life Sciences, Yuncheng UniversityShanxi Key Laboratory of Yuncheng Salt Lake Ecological Protection and Resource Utilization, College of Life Sciences, Yuncheng UniversityShanxi Key Laboratory of Yuncheng Salt Lake Ecological Protection and Resource Utilization, College of Life Sciences, Yuncheng UniversityShanxi Key Laboratory of Yuncheng Salt Lake Ecological Protection and Resource Utilization, College of Life Sciences, Yuncheng UniversityShanxi Key Laboratory of Yuncheng Salt Lake Ecological Protection and Resource Utilization, College of Life Sciences, Yuncheng UniversitySchool of Life Science, Shanxi UniversitySchool of Life Science, Shanxi UniversityShanxi Key Laboratory of Yuncheng Salt Lake Ecological Protection and Resource Utilization, College of Life Sciences, Yuncheng UniversityAbstract The community structure and co-occurrence pattern of eukaryotic algae in Yuncheng Salt Lake were analyzed based on marker gene analysis of the 18S rRNA V4 region to understand the species composition and their synergistic adaptations to the environmental factors in different salinity waters. The results showed indicated that the overall algal composition of Yuncheng Salt Lake showed a Chlorophyta-Pyrrophyta-Bacillariophyta type structure. Chlorophyta showed an absolute advantage in all salinity waters. In addition, Cryptophyta dominated in the least saline waters; Pyrrophyta and Bacillariophyta were the dominant phyla in the waters with salinity ranging from 13.2 to 18%. Picochlorum, Nannochloris, Ulva, and Tetraselmis of Chlorophyta, Biecheleria and Oxyrrhis of Pyrrophyta, Halamphora, Psammothidium, and Navicula of Bacillariophyta, Guillardia and Rhodomonas of Cryptophyta were not observed in previous surveys of the Yuncheng Salt Lake, suggesting that the algae are undergoing a constant turnover as the water environment of the Salt Lake continues to change. The network diagram demonstrated that the algae were strongly influenced by salinity, NO3 −, and pH, changes in these environmental factors would lead to changes in the algal community structure, thus affecting the stability of the network structure.https://doi.org/10.1038/s41598-024-58636-0Yuncheng Salt LakeEukaryotic algaeSalinityEnvironmental parametersCo-occurrence network |
spellingShingle | Jing Yang Chuanxu Wang Zhuo Wang Yunjie Li Huiying Yu Jia Feng Shulian Xie Xin Li Distribution patterns and co-occurrence network of eukaryotic algae in different salinity waters of Yuncheng Salt Lake, China Scientific Reports Yuncheng Salt Lake Eukaryotic algae Salinity Environmental parameters Co-occurrence network |
title | Distribution patterns and co-occurrence network of eukaryotic algae in different salinity waters of Yuncheng Salt Lake, China |
title_full | Distribution patterns and co-occurrence network of eukaryotic algae in different salinity waters of Yuncheng Salt Lake, China |
title_fullStr | Distribution patterns and co-occurrence network of eukaryotic algae in different salinity waters of Yuncheng Salt Lake, China |
title_full_unstemmed | Distribution patterns and co-occurrence network of eukaryotic algae in different salinity waters of Yuncheng Salt Lake, China |
title_short | Distribution patterns and co-occurrence network of eukaryotic algae in different salinity waters of Yuncheng Salt Lake, China |
title_sort | distribution patterns and co occurrence network of eukaryotic algae in different salinity waters of yuncheng salt lake china |
topic | Yuncheng Salt Lake Eukaryotic algae Salinity Environmental parameters Co-occurrence network |
url | https://doi.org/10.1038/s41598-024-58636-0 |
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