Prevalence of porcine circovirus-like agent P1 in Jiangsu, China.

Virol J

Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, National Center for Engineering Research of Veterinary Bio-products, Nanjing210014, China.

Published: December 2011

Recently, we identified a novel porcine circovirus type 2-like agent P1 isolate from swine. The present study represents the first survey of P1 prevalence in swine herds from Jiangsu, China, by using PCR targeting the complete genome of P1. Prevalences of 50% and 19% were found among 6 herds and 248 animals, respectively. The results indicate a high prevalence of P1 in China pig populations.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3260243PMC
http://dx.doi.org/10.1186/1743-422X-8-543DOI Listing

Publication Analysis

Top Keywords

jiangsu china
8
prevalence porcine
4
porcine circovirus-like
4
circovirus-like agent
4
agent jiangsu
4
china identified
4
identified novel
4
novel porcine
4
porcine circovirus
4
circovirus type
4

Similar Publications

Objective: This study aimed to examine the levels of physical activity (PA), sleep, and mental health (MH), specifically depression, anxiety, and stress, among Chinese university students. It also aimed to analyze the influencing factors of MH, providing a theoretical foundation for developing intervention programs to improve college students' mental health.

Methods: A stratified, clustered, and phased sampling method was employed.

View Article and Find Full Text PDF

Fast and sensitive multivalent spatial pattern-recognition for circular RNA detection.

Nat Commun

December 2024

Department of Pharmacology, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, China.

While circular RNAs (circRNAs) exhibit lower abundance compared to corresponding linear RNAs, they demonstrate potent biological functions. Nevertheless, challenges arise from the low concentration and distinctive structural features of circRNAs, rendering existing methods operationally intricate and less sensitive. Here, we engineer an intelligent tetrahedral DNA framework (TDF) possessing precise spatial pattern-recognition properties with exceptional sensing speed and sensitivity for circRNAs.

View Article and Find Full Text PDF

Numerical simulation study on the influence of bend diameter rate on the flow characteristics of nature gas hydrate particles.

Sci Rep

December 2024

Jiangsu Key Laboratory of Oil-Gas Storage and Transportation Technology, Changzhou University, Changzhou, 213164, Jiangsu, China.

Bend pipe is a common part of long distance pipeline. There is very important to study the flow law of hydrate particles in the bend pipe, and pipeline design will be optimized. In addition, the efficiency and safety of pipeline gas transmission will be improved.

View Article and Find Full Text PDF

Microenvironmental modulation breaks intrinsic pH limitations of nanozymes to boost their activities.

Nat Commun

December 2024

College of Engineering and Applied Sciences, Nanjing National Laboratory of Microstructures, Jiangsu Key Laboratory of Artificial Functional Materials, Nanjing University, Nanjing, Jiangsu, China.

Functional nanomaterials with enzyme-mimicking activities, termed as nanozymes, have found wide applications in various fields. However, the deviation between the working and optimal pHs of nanozymes has been limiting their practical applications. Here we develop a strategy to modulate the microenvironmental pHs of metal-organic framework (MOF) nanozymes by confining polyacids or polybases (serving as Brønsted acids or bases).

View Article and Find Full Text PDF

Pattern memory cannot be completely and truly realized in deep neural networks.

Sci Rep

December 2024

School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, 214122, China.

The unknown boundary issue, between superior computational capability of deep neural networks (DNNs) and human cognitive ability, has becoming crucial and foundational theoretical problem in AI evolution. Undoubtedly, DNN-empowered AI capability is increasingly surpassing human intelligence in handling general intelligent tasks. However, the absence of DNN's interpretability and recurrent erratic behavior remain incontrovertible facts.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!