Molecular epidemiology of PRRSV from China’s Guangxi Province between 2007 and 2009

Virus Genes ◽  
2012 ◽  
Vol 46 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Hong-Yun Zhang ◽  
Jing-Jing Liang ◽  
Xian-Ming Meng ◽  
Hui Li ◽  
Jian Yang ◽  
...  
2007 ◽  
Vol 39 (4) ◽  
pp. 295-303 ◽  
Author(s):  
Qi Liu ◽  
Yi Xiong ◽  
Ting Rong Luo ◽  
You-Chuan Wei ◽  
Song-Jian Nan ◽  
...  

2020 ◽  
Vol 32 (3) ◽  
pp. 429-434
Author(s):  
Jie-Yu Su ◽  
Jun Li ◽  
Teng-Cheng Que ◽  
Hai-Lan Chen ◽  
Yun Zeng

We screened 104 snakes with respiratory disease, collected from 52 snake farms in Guangxi Province, China, for pathogens. Ferlaviruses were detected in 70 of 104 lung samples by reverse-transcription PCR; 34 of 52 of the snake farms were positive for ferlaviruses. No reovirus, adenovirus, sunshine virus, or nidovirus was detected in any of the snakes. We obtained 96 bacterial isolates from snake organs, of which the most commonly isolated species were Salmonella (18) and Proteus (16). Sequence analysis, based on 27 partial RNA-dependent RNA polymerase gene ( L) sequences, revealed that ferlaviruses from Guangxi and the known GenBank strains clustered together and formed 3 genogroups. The nucleotide and deduced amino acid homologies of ferlaviruses were 84.3–100% and 95.0–100% within groups, respectively, and 77.0–81.6% and 90.4–95.2% between groups, respectively. Ferlaviruses from Guangxi had close genetic relationships with the known GenBank strains. Our results indicate that ferlaviruses are common in snakes with respiratory disease on the farms of Guangxi that we sampled, and that ferlavirus molecular epidemiology is both diverse and complex.


Pathology ◽  
2009 ◽  
pp. 1-5
Author(s):  
Tse Koh ◽  
Beng Low ◽  
Nicholas Leo ◽  
Li-Yang Hsu ◽  
Raymond Lin ◽  
...  

2011 ◽  
Vol 152 (16) ◽  
pp. 633-641 ◽  
Author(s):  
Katalin Gőcze ◽  
Katalin Gombos ◽  
Gábor Pajkos ◽  
Ingrid Magda ◽  
Ágoston Ember ◽  
...  

Cancer research concerning short non-coding RNA sequences and functionally linked to RNA interference (RNAi) have reached explosive breakthrough in the past decade. Molecular technology applies microRNA in extremely wide spectrum from molecular tumor prediction, diagnostics, progression monitoring and prevention. Functional analysis of tissue miRNA and cell-free serum miRNA in posttranscription and translation regulation innovated and restructured the knowledge on the field. This review focuses on molecular epidemiology and primary prevention aspects of the small non-coding RNA sequences. Orv. Hetil., 2011, 152, 633–641.


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