southern east china sea
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2021 ◽  
Author(s):  
Yun-Chi Lin ◽  
Chien-Pang Chin ◽  
Jinny Wu Yang ◽  
Kuo-Ping Chiang ◽  
Chih-hao Hsieh ◽  
...  

AbstractMArine STramenopiles (MASTs) have been recognized as parts of heterotrophic protists and contribute substantially to protist abundances in the ocean. However, little is known about their spatiotemporal variations with respect to environmental and biological factors. The objectives of this study are to use canonical correspondence analysis to investigate how MASTs communities are shaped by environmental variables, and co-occurrence networks to examine their potential interactions with prokaryotic communities. Our dataset came from the southern East China Sea (sECS) in the subtropical northwestern Pacific, and involved 14 cruises along a coastal-oceanic transect, each of which sampled surface water from 4 to 7 stations. MASTs communities were revealed by metabarcoding of 18S rDNA V4 region. Most notably, MAST-9 had a high representation in warm waters in terms of read number and diversity. Subclades of MAST-9C and -9D showed slightly different niches, with MAST-9D dominating in more coastal waters where concentrations of nitrite and Synechococcus were higher. MAST-1C was a common component of colder water during spring. Overall, canonical correspondence analysis showed that MASTs communities were significantly influenced by temperature, nitrite and Synechococcus concentrations. The co-occurrence networks showed that certain other minor prokaryotic taxa can influence MAST communities. This study provides insight into how MASTs communities varied with environmental and biological variables.


2020 ◽  
Vol 119 ◽  
pp. 104465
Author(s):  
Zewei Yao ◽  
Chun-Feng Li ◽  
Guangyu He ◽  
Tiansheng Tao ◽  
Xiaoli Zheng ◽  
...  

2020 ◽  
Vol 118 ◽  
pp. 104436
Author(s):  
Changqing Yang ◽  
Jin Sun ◽  
Yanqiu Yang ◽  
Chuansheng Yang ◽  
Jianqiang Wang ◽  
...  

2020 ◽  
Vol 125 (8) ◽  
Author(s):  
Qicheng Meng ◽  
Jiliang Xuan ◽  
Wenyan Zhang ◽  
Feng Zhou ◽  
Qiang Hao ◽  
...  

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