scholarly journals Establishment of a Challenge Model for Sheeppox Virus Infection

2020 ◽  
Vol 8 (12) ◽  
pp. 2001
Author(s):  
Janika Wolff ◽  
Sahar Abd El Rahman ◽  
Jacqueline King ◽  
Mohamed El-Beskawy ◽  
Anne Pohlmann ◽  
...  

Sheeppox virus (SPPV) together with goatpox virus and lumpy skin disease virus form the genus Capripoxvirus of the Poxviridae family. Due to their great economic importance and major impact on livelihood of small-scale farmers, OIE guidelines classify capripox viruses as notifiable diseases. In the present study, we examined pathogenesis of an Indian SPPV isolate and an Egyptian SPPV isolate in sheep. Three different infection routes were tested: (i) intravenous infection, (ii) intranasal infection and (iii) contact transmission between infected and naïve sheep. Clinical course, viremia and viral shedding as well as seroconversion were analyzed in order to establish a challenge model for SPPV infections that can be used in future vaccine studies. Next to in vivo characterization, both SPPV strains underwent next- and third-generation sequencing to obtain high quality full-length genomes for genetic characterization and comparison to already published SPPV sequences.

Author(s):  
P.D.N. HEBERT ◽  
◽  
T.W.A. BRAUKMANN ◽  
S.W.J. PROSSER ◽  
S. RATNASINGHAM ◽  
...  

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 530a-530
Author(s):  
Brad Bergefurd ◽  
Gary Gao

Speciality crops are great alternative cash crops for small scale farmers. Small scale farmers are constantly searching for viable economic crops to grow. We have been conducting applied research on the production and marketing of culinary herbs, oriental vegetables, colored peppers, and muskmelons to name a few. These crops show excellent potential for southern Ohio. Field demonstration, seminars, and surveys were used to gather and disseminate information on these speciality crops. More than 230 people attended our seminars on alternative cash crops. More than 150 people attended our field days. In addition, we had identified many chefs that are willing to purchase from local speciality crop growers. It will be a win-win situation for both chefs and growers. Growers will be able to maximize their profitability while chefs will receive fresh and unique produce. As a result of our research, we were able to show small scale growers what they can grow successfully and how they can market their crops for most profit. These applied research projects received a combined funding of $10000.00 from OSU Extension-Innovative Grant program. These projects are a great way to establish credibility among clients. We would also like to demonstrate how other extension agents can help their clients. A lecture utilizing slides and overhead transparencies will be the format of the seminar.


2020 ◽  
Vol 15 ◽  
Author(s):  
Hongdong Li ◽  
Wenjing Zhang ◽  
Yuwen Luo ◽  
Jianxin Wang

Aims: Accurately detect isoforms from third generation sequencing data. Background: Transcriptome annotation is the basis for the analysis of gene expression and regulation. The transcriptome annotation of many organisms such as humans is far from incomplete, due partly to the challenge in the identification of isoforms that are produced from the same gene through alternative splicing. Third generation sequencing (TGS) reads provide unprecedented opportunity for detecting isoforms due to their long length that exceeds the length of most isoforms. One limitation of current TGS reads-based isoform detection methods is that they are exclusively based on sequence reads, without incorporating the sequence information of known isoforms. Objective: Develop an efficient method for isoform detection. Method: Based on annotated isoforms, we propose a splice isoform detection method called IsoDetect. First, the sequence at exon-exon junction is extracted from annotated isoforms as the “short feature sequence”, which is used to distinguish different splice isoforms. Second, we aligned these feature sequences to long reads and divided long reads into groups that contain the same set of feature sequences, thereby avoiding the pair-wise comparison among the large number of long reads. Third, clustering and consensus generation are carried out based on sequence similarity. For the long reads that do not contain any short feature sequence, clustering analysis based on sequence similarity is performed to identify isoforms. Result: Tested on two datasets from Calypte Anna and Zebra Finch, IsoDetect showed higher speed and compelling accuracy compared with four existing methods. Conclusion: IsoDetect is a promising method for isoform detection. Other: This paper was accepted by the CBC2019 conference.


Hypertension ◽  
1995 ◽  
Vol 26 (1) ◽  
pp. 70-77 ◽  
Author(s):  
Tobias A. Bruning ◽  
Peter C. Chang ◽  
Maarten G.C. Hendriks ◽  
Pieter Vermeij ◽  
Martin Pfaffendorf ◽  
...  

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