Effects of environmental factors on mycoplankton diversity and trophic modes in coastal surface water
Mycoplankton play a key role in aquatic microbial food webs and nutrient cycling. However, the environmental factors that affect their composition and trophic modes in coastal water remain unclear. In this study, we used fungal metabarcoding to characterize seasonal mycoplanktonic communities in the...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-02-01
|
| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X22012511 |
| _version_ | 1797942088543764480 |
|---|---|
| author | Xiaoli Li Meiqin Huang Nan Li Huaxian Zhao Yang Pu Jiongqing Huang Shu Yang Xinyi Qin Ke Dong Mingzhu Li Zhenjun Kang |
| author_facet | Xiaoli Li Meiqin Huang Nan Li Huaxian Zhao Yang Pu Jiongqing Huang Shu Yang Xinyi Qin Ke Dong Mingzhu Li Zhenjun Kang |
| author_sort | Xiaoli Li |
| collection | DOAJ |
| description | Mycoplankton play a key role in aquatic microbial food webs and nutrient cycling. However, the environmental factors that affect their composition and trophic modes in coastal water remain unclear. In this study, we used fungal metabarcoding to characterize seasonal mycoplanktonic communities in the surface water of the Maowei Sea. Dothideomycetes and Sordariomycetes were the dominant classes in the Maowei Sea. Random forest modeling analyses suggested that Ochroconis, Rhodotorula, Perenniporia and Derxomyces were the best seasonal bioindicators of environmental changes. Spearman’s correlation analysis showed that TOC (total organic carbon) is the main factor affecting mycoplanktonic bioindicators. Through FUNGuild analysis, we classified mycoplankton in the Maowei Sea into eight trophic modes and found that saprotrophs were the most abundant. Random forest analysis and Spearman’s correlation indicated that the mycoplankton trophic modes could reflect environmental changes in the Maowei Sea and were mainly influenced by dissolved inorganic phosphorus (DIP), dissolved oxygen (DO), and total organic carbon (TOC). Mycoplanktonic alpha and beta diversities significantly varied in different seasons (p < 0.05). Spearman rank’s test, Mantel test, and partial Mantel test indicated that TOC was the key environmental factor that affected the mycoplanktonic alpha and beta diversities. Variation partition analysis revealed that mycoplankton community structure was affected more due to nutrient variability than water quality (18 % vs 7 %). Overall, this study enhanced our understanding of the key controlling environmental factors affecting mycoplanktonic diversities and trophic modes in the coastal environment. |
| first_indexed | 2024-04-10T20:02:07Z |
| format | Article |
| id | doaj.art-08bc55a813484eddb74aa4c5c1eb6ca3 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-04-10T20:02:07Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-08bc55a813484eddb74aa4c5c1eb6ca32023-01-27T04:19:06ZengElsevierEcological Indicators1470-160X2023-02-01146109778Effects of environmental factors on mycoplankton diversity and trophic modes in coastal surface waterXiaoli Li0Meiqin Huang1Nan Li2Huaxian Zhao3Yang Pu4Jiongqing Huang5Shu Yang6Xinyi Qin7Ke Dong8Mingzhu Li9Zhenjun Kang10School of Agriculture, Bio-Nanotechnology Research Institute, Ludong University, Yantai 264025, China; Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, 36 Baochubei Road, Hangzhou 310012, ChinaGuangxi Station of Radiation Environment Supervision, Department of Ecology and Environment of Guangxi, 80 Rongmo Road, Nanning 530001, ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, China; Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, 36 Baochubei Road, Hangzhou 310012, ChinaSchool of Agriculture, Bio-Nanotechnology Research Institute, Ludong University, Yantai 264025, ChinaSchool of Agriculture, Bio-Nanotechnology Research Institute, Ludong University, Yantai 264025, ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, ChinaDepartment of Biological Sciences, Kyonggi University, University, Suwon-si 16227, South KoreaSchool of Agriculture, Bio-Nanotechnology Research Institute, Ludong University, Yantai 264025, China; Corresponding authors.College of Marine Sciences, Guangxi Key Laboratory of Marine Environmental Change and Disaster in Beibu Gulf, Beibu Gulf University, Qinzhou 535011, China; Corresponding authors.Mycoplankton play a key role in aquatic microbial food webs and nutrient cycling. However, the environmental factors that affect their composition and trophic modes in coastal water remain unclear. In this study, we used fungal metabarcoding to characterize seasonal mycoplanktonic communities in the surface water of the Maowei Sea. Dothideomycetes and Sordariomycetes were the dominant classes in the Maowei Sea. Random forest modeling analyses suggested that Ochroconis, Rhodotorula, Perenniporia and Derxomyces were the best seasonal bioindicators of environmental changes. Spearman’s correlation analysis showed that TOC (total organic carbon) is the main factor affecting mycoplanktonic bioindicators. Through FUNGuild analysis, we classified mycoplankton in the Maowei Sea into eight trophic modes and found that saprotrophs were the most abundant. Random forest analysis and Spearman’s correlation indicated that the mycoplankton trophic modes could reflect environmental changes in the Maowei Sea and were mainly influenced by dissolved inorganic phosphorus (DIP), dissolved oxygen (DO), and total organic carbon (TOC). Mycoplanktonic alpha and beta diversities significantly varied in different seasons (p < 0.05). Spearman rank’s test, Mantel test, and partial Mantel test indicated that TOC was the key environmental factor that affected the mycoplanktonic alpha and beta diversities. Variation partition analysis revealed that mycoplankton community structure was affected more due to nutrient variability than water quality (18 % vs 7 %). Overall, this study enhanced our understanding of the key controlling environmental factors affecting mycoplanktonic diversities and trophic modes in the coastal environment.http://www.sciencedirect.com/science/article/pii/S1470160X22012511Marine mycoplanktonFungal diversityTrophic modeITS1 region |
| spellingShingle | Xiaoli Li Meiqin Huang Nan Li Huaxian Zhao Yang Pu Jiongqing Huang Shu Yang Xinyi Qin Ke Dong Mingzhu Li Zhenjun Kang Effects of environmental factors on mycoplankton diversity and trophic modes in coastal surface water Ecological Indicators Marine mycoplankton Fungal diversity Trophic mode ITS1 region |
| title | Effects of environmental factors on mycoplankton diversity and trophic modes in coastal surface water |
| title_full | Effects of environmental factors on mycoplankton diversity and trophic modes in coastal surface water |
| title_fullStr | Effects of environmental factors on mycoplankton diversity and trophic modes in coastal surface water |
| title_full_unstemmed | Effects of environmental factors on mycoplankton diversity and trophic modes in coastal surface water |
| title_short | Effects of environmental factors on mycoplankton diversity and trophic modes in coastal surface water |
| title_sort | effects of environmental factors on mycoplankton diversity and trophic modes in coastal surface water |
| topic | Marine mycoplankton Fungal diversity Trophic mode ITS1 region |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X22012511 |
| work_keys_str_mv | AT xiaolili effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater AT meiqinhuang effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater AT nanli effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater AT huaxianzhao effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater AT yangpu effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater AT jiongqinghuang effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater AT shuyang effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater AT xinyiqin effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater AT kedong effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater AT mingzhuli effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater AT zhenjunkang effectsofenvironmentalfactorsonmycoplanktondiversityandtrophicmodesincoastalsurfacewater |