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A simple and rapid identification method for newly emerged porcine Deltacoronavirus with loop-mediated isothermal amplification

Overview of attention for article published in Biological Research, September 2017
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Title
A simple and rapid identification method for newly emerged porcine Deltacoronavirus with loop-mediated isothermal amplification
Published in
Biological Research, September 2017
DOI 10.1186/s40659-017-0135-6
Pubmed ID
Authors

Fanfan Zhang, Yu Ye, Deping Song, Nannan Guo, Qi Peng, Anqi Li, Xingrong Zhou, Yanjun Chen, Min Zhang, Dongyan Huang, Yuxin Tang

Abstract

Porcine Deltacoronavirus (PDCoV) is a newly emerged enteropathogenic coronavirus that causes diarrhea and mortality in neonatal piglets. PDCoV has spread to many countries around the world, leading to significant economic losses in the pork industry. Therefore, a rapid and sensitive method for detection of PDCoV in clinical samples is urgently needed. In this study, we developed a single-tube one-step reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay specific for nucleocapsid gene to diagnose and monitor PDCoV infections. The detection limit of RT-LAMP assay was 1 × 10(1) copies of PDCoV, which was approximately 100-fold more sensitive than gel-based one-step reverse transcription polymerase chain reaction (RT-PCR). This assay could specifically amplify PDCoV and had no cross amplification with porcine epidemic diarrhea virus (PEDV), transmissible gastroenteritis virus (TGEV), porcine kobuvirus (PKoV), porcine astrovirus (PAstV), porcine reproductive and respiratory syndrome virus (PRRSV), classic swine fever virus (CSFV), and porcine circovirus type 2 (PCV2). By screening a panel of clinical specimens (N = 192), this method presented a similar sensitivity with nested RT-PCR and was 1-2 log more sensitive than conventional RT-PCR in detection of PDCoV. The RT-LAMP assay established in this study is a potentially valuable tool, especially in low-resource laboratories and filed settings, for a rapid diagnosis, surveillance, and molecular epidemiology investigation of PDCoV infections. To the best of our knowledge, this is the first work for detection of newly emerged PDCoV with LAMP technology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 21%
Student > Master 7 15%
Student > Bachelor 6 13%
Lecturer 3 6%
Other 3 6%
Other 10 21%
Unknown 8 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 17%
Medicine and Dentistry 8 17%
Veterinary Science and Veterinary Medicine 5 11%
Agricultural and Biological Sciences 4 9%
Nursing and Health Professions 3 6%
Other 10 21%
Unknown 9 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2017.
All research outputs
#16,725,651
of 25,382,440 outputs
Outputs from Biological Research
#286
of 642 outputs
Outputs of similar age
#197,444
of 325,640 outputs
Outputs of similar age from Biological Research
#8
of 12 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 642 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,640 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.