- A study by Dr. Mario Tello, researcher at this center, establishes a previously unknown relationship between an infectious salmon anemia (ISA) genome segment and its virulence.
The study by this researcher at the Aquaculture Biotechnology Center and the Faculty of Chemistry and Biology, University of Santiago de Chile, could provide important insights about how to predict salmon mortality by the ISA virus, a disease that affects Chilean aquaculture since 2007.
The research "Analysis of the use of codon pairs in the HE gene of the ISA virus shows a correlation between HPR bias in codon pair use and mortality rates caused by the virus" was published in the June issue of the Virology Journal, a specialized international publication.
The journal provides details of the investigation conducted by the University Of Santiago de Chile’s scientist who was able to identify the role and the relationship of a segment of the ISA virus by using bioinformatics tools and the existing literature.
According to Dr.Tello, the results of this study are one of the first hypotheses to explain why a highly variable region of the virus, called HPR (High Polymorphism Region), would be associated with the observed virulence.
"Our results suggest that there is a region of the virus affecting its transmission and its ability to cause the disease. “That is to say, our analyzes suggest that there is a direct relationship between the mortality caused by the virus and the efficiency of its translation", Dr. Tello says.
According to the researcher, "the strain of the virus found in Chile would be one of the most efficient in the translation, and this would be directly related to an increasing mortality," and explain one of the possible reasons for the high mortality reported in our country.
Although the in vitro results have not been confirmed yet, the research is already an important step in deciphering the ISA virus characteristics, and it could provide solutions to the salmon industry. "Perfectly, these solutions could aim at generating a virulence predictor based on the analysis of the HPR region, a predictor in which we are working," the scientist says.
