Serotyping and pathotyping of Glaesserella parasuis isolated 2012–2019 in Germany comparing different PCR-based methods

作者
Lukas Schuwerk,Doris Hoeltig,Karl-Heinz Waldmann,Katrin Strutzberg‐Minder,Peter Valentin‐Weigand,Judith Rohde
出处
期刊:Veterinary Research [BioMed Central]
卷期号:51 (1): 137-137 被引量:36
标识
DOI:10.1186/s13567-020-00862-1
摘要

Glaesserella parasuis is an important pathogen in swine production. It acts as a primary pathogen in systemic Glässer´s disease and as a secondary pathogen in Porcine Respiratory Disease Complex. In this study, a collection of 308 isolates from carrier animals and individuals with respiratory or Glässer´s disease isolated 2012-2019 in Germany was analysed. Isolates were characterized for serovar implementing two different PCR methods. Additionally, two different PCR methods for pathotyping isolates were applied to the collection and results compared. Serovar 6 (p < 0.0001) and 9 (p = 0.0007) were correlated with carrier isolates and serovar 4 was associated with isolates from animals with respiratory disease (p = 0.015). In systemic isolates, serovar 13 was most frequently detected (18.9%). Various other serovars were isolated from all sites and the ratio of serovar 5 to serovar 12 was approximately 1:2. These two serovars together represented 14.3% of the isolates; only serovar 4 was isolated more frequently (24.7%). The pathotyping method based on the leader sequence (LS = ESPR of vta) was easy to perform and corresponded well to the clinical background information. Of the carrier isolates 72% were identified as non-virulent while 91% of the systemic isolates were classified as virulent (p < 0.0001). Results of the pathotyping PCR based on 10 different marker genes overall were in good agreement with clinical metadata as well as with results of the LS-PCR. However, the pathotyping PCR was more complicated to perform and analyze. In conclusion, a combination of the serotyping multiplex-PCR and the LS-PCR could improve identification of clinically relevant G. parasuis isolates, especially from respiratory samples.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Zoe完成签到,获得积分10
刚刚
哆小咪完成签到 ,获得积分10
1秒前
1秒前
liangjuan完成签到,获得积分20
3秒前
6秒前
6秒前
6秒前
HXD完成签到,获得积分10
6秒前
开心傲柏发布了新的文献求助10
7秒前
Pluto完成签到,获得积分20
8秒前
程风破浪发布了新的文献求助10
8秒前
皮蛋发布了新的文献求助10
9秒前
Jeffny完成签到,获得积分10
9秒前
10秒前
liangjuan发布了新的文献求助10
11秒前
11秒前
fanger完成签到,获得积分10
15秒前
xuexue发布了新的文献求助30
15秒前
香蕉觅云的应助被Mercury采纳,获得30
15秒前
18秒前
赵博阳发布了新的文献求助10
19秒前
22秒前
LXH2001完成签到,获得积分10
22秒前
yimo发布了新的文献求助10
22秒前
Foch发布了新的文献求助20
23秒前
23秒前
Daric发布了新的文献求助10
25秒前
Future发布了新的文献求助10
26秒前
今后的应助被九科研就科成采纳,获得10
27秒前
奋斗断秋完成签到,获得积分20
27秒前
完美世界的应助被程风破浪采纳,获得10
27秒前
李木子发布了新的文献求助10
27秒前
qsq关注了科研通微信公众号
27秒前
bkagyin的应助被开心傲柏采纳,获得10
28秒前
今后的应助被smoothgoing采纳,获得10
29秒前
默默灭绝完成签到 ,获得积分10
29秒前
champion发布了新的文献求助10
30秒前
30秒前
小林发布了新的文献求助10
30秒前
Xin完成签到,获得积分10
31秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Spec 401: Standards for Jet Fuel Facility and Equipment Commissioning and Flushing at Airports, 2026.1 (Original Issue) 1000
Spec 103: Standard for Jet Fuel Quality Control at Airports, Revision 2026.1 1000
Les Mots du discours 600
The Future of Digital Well-Being 600
5th World Conference on Detergents: Reinventing the Industry : Opportunities and Challenges 500
Erzählte Gnade 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8100548
求助须知:如何正确求助?哪些是违规求助? 9510798
关于积分的说明 21476828
捐赠科研通 7676056
什么是DOI,文献DOI怎么找? 3408158
关于科研通互助平台的介绍 2535958
邀请新用户注册赠送积分活动 2447907