scholarly journals Genetic evidence substantiates transmission of Trichinella spiralis from one swine farm to another

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ewa Bilska-Zajac ◽  
Daniele Tonanzi ◽  
Edoardo Pozio ◽  
Miroslaw Rozycki ◽  
Tomasz Cencek ◽  
...  

Abstract Background Trichinella spiralis ranks seventh in the risk posed by foodborne parasites. It causes most human cases of trichinellosis and is the most frequent cause of Trichinella outbreaks on pig farms and in wild boar, worldwide. Veterinary inspectors seek the source of outbreaks in hopes of limiting the spread. Established molecular tools are inadequate for distinguishing among potential T. spiralis infection sources because genetic variability in these zoonotic pathogens is limited in Europe. Microsatellite markers proved successful in tracing an outbreak of T. britovi, a related parasite harboring much more genetic variation. Here, we successfully employed microsatellite markers to determine the genetic structure of T. spiralis isolates from two pig outbreaks, discovering notable uniformity among parasites within each farm and discovering an epidemiological link between these two outbreaks. Methods The individual larvae from five isolates of T. spiralis from two pig farms and from ten wild boars were genotyped using nine microsatellite markers to examine their genetic structure. Results Notably uniform parasite populations constituted each farm outbreak, and the parasites from the first and second outbreaks resembled each other to a notable degree, indicating an epidemiological link between them. Wild boar harbored more genetically variable larval cohorts, distinguishing them from parasites isolated from domestic pigs. Conclusions Microsatellite markers succeeded in distinguishing isolates of the highly homogeneous T. spiralis, aiding efforts to track transmission. Each outbreak was composed of a homogenous group of parasites, suggesting a point source of contamination. Graphical abstract

2013 ◽  
Vol 37 (8) ◽  
pp. 1121
Author(s):  
Cuiyun LU ◽  
Longwu GENG ◽  
Chao LI ◽  
Lei CHENG ◽  
Xiaowen SUN ◽  
...  

2016 ◽  
Vol 64 ◽  
pp. 38-45 ◽  
Author(s):  
Vanessa Neves de Azevedo Fernandes ◽  
Andréa Florindo das Neves ◽  
Paula Garcia Martin ◽  
Claudete Aparecida Mangolin ◽  
Maria de Fátima P.S. Machado

2016 ◽  
Vol 52 (5) ◽  
pp. 806-816 ◽  
Author(s):  
Marie-Laure Guillemin ◽  
Myriam Valero ◽  
Kennia Morales Collio ◽  
Ramona Pinochet Sanchez ◽  
Miguel Henríquez Espinosa ◽  
...  

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Waluyo Waluyo ◽  
Taslim Arifin

The distribution of lobsters in Indonesia waters is very wide, even lobster species in Indonesia are also scattered in the tropical waters of the western Pacific Ocean, the Indian Ocean, Africa to Japanese waters.Indonesia waters are divided into 11 (eleven) Fishery Management Zone (FMZ). Lobsters in Indonesia may come from various water areas, both national and regional waters zone, it’s called the sink population, its spread is influenced by the movement of the current. Lobster seed is nurtured by nature through oceancurrents from Australia, East Indonesia, Japan, then back to Australia. Lobsters have a complex life cycle,where adult lobsters inhabit coral reefs as a place to lay eggs, then hatch into planktonic larvae, and grow up in open seas and carry out diurnal and ontogenetic vertical migrations before returning to nurseries in shallow coastal areas and reefs. coral, as well as habitat by the type of species. Literature research had used at leasttwo methodologies to estimate the distribution and connection sensitivity matrices of marine organism larvae.The two most common approaches are using genetic markers and numerical biophysical modeling. Thus, this research uses molecular genetic techniques to explain the genetic structure of lobster populations using a biophysical model approach that can explain the genetic structure of lobsters, as well as the distribution base on regional oceanographic synthesis data and lobster biology known in Indonesia waters. This model has four components, namely: 1) a benthic module based on a Geographical Information System (GIS) which is a lobster habitat in the spawning and recruitment process, 2) a physical oceanography module containing daily velocity in the form of a three-dimensional hydrodynamic model, 3) a larva biology module that describes larval life history characteristics, and 4) a Lagrangian Stochastic module that tracks the individual trajectories of larvae.


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