Similar geographic patterns but distinct assembly processes of abundant and rare bacterioplankton communities in river networks of the Taihu Basin

2022 ◽  
pp. 118057
Author(s):  
Tao Zhang ◽  
Sai Xu ◽  
Ruomeng Yan ◽  
Ruyue Wang ◽  
Yuexiang Gao ◽  
...  
2017 ◽  
Vol 29 (6) ◽  
pp. 1300-1311
Author(s):  
ZHANG Tao ◽  
◽  
CHEN Qiuwen ◽  
YI Qitao ◽  
WANG Min ◽  
...  

2021 ◽  
Vol 33 (4) ◽  
pp. 1100-1111
Author(s):  
Xia Yubao ◽  
◽  
Wang Hua ◽  
He Xinchen ◽  
Yuan Weihao ◽  
...  

2011 ◽  
Vol 19 (4) ◽  
pp. 414-423 ◽  
Author(s):  
Chen Shengbin ◽  
Ouyang Zhiyun ◽  
Fang Yu ◽  
Li Zhenji

2017 ◽  
Author(s):  
Kristin L. Jaeger ◽  
◽  
Roy Sando ◽  
Kyle W. Blasch ◽  
Jason Dunham ◽  
...  
Keyword(s):  
Big Data ◽  

Viruses ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 764
Author(s):  
Bohu Pan ◽  
Zuowei Ji ◽  
Sugunadevi Sakkiah ◽  
Wenjing Guo ◽  
Jie Liu ◽  
...  

Severe acute respiratory syndrome coronavirus 2 (SARS−CoV−2) has caused the ongoing global COVID-19 pandemic that began in late December 2019. The rapid spread of SARS−CoV−2 is primarily due to person-to-person transmission. To understand the epidemiological traits of SARS−CoV−2 transmission, we conducted phylogenetic analysis on genome sequences from >54K SARS−CoV−2 cases obtained from two public databases. Hierarchical clustering analysis on geographic patterns in the resulting phylogenetic trees revealed a co-expansion tendency of the virus among neighboring countries with diverse sources and transmission routes for SARS−CoV−2. Pairwise sequence similarity analysis demonstrated that SARS−CoV−2 is transmitted locally and evolves during transmission. However, no significant differences were seen among SARS−CoV−2 genomes grouped by host age or sex. Here, our identified epidemiological traits provide information to better prevent transmission of SARS−CoV−2 and to facilitate the development of effective vaccines and therapeutics against the virus.


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