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      Comparative Genomic Analysis of Three Salmonid Species Identifies Functional Candidate Genes Involved in Resistance to the Intracellular Bacterium Piscirickettsia salmonis

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          Abstract

          Piscirickettsia salmonis is the etiologic agent of salmon rickettsial syndrome (SRS) and is responsible for considerable economic losses in salmon aquaculture. The bacterium affects coho salmon (CS; Oncorhynchus kisutch), Atlantic salmon (AS; Salmo salar), and rainbow trout (RT; Oncorhynchus mykiss) in several countries, including Norway, Canada, Scotland, Ireland, and Chile. We used Bayesian genome-wide association study analyses to investigate the genetic architecture of resistance to P. salmonis in farmed populations of these species. Resistance to SRS was defined as the number of days to death and as binary survival (BS). A total of 828 CS, 2130 RT, and 2601 AS individuals were phenotyped and then genotyped using double-digest restriction site-associated DNA sequencing and 57K and 50K Affymetrix® Axiom® single nucleotide polymorphism (SNP) panels, respectively. Both traits of SRS resistance in CS and RT appeared to be under oligogenic control. In AS, there was evidence of polygenic control of SRS resistance. To identify candidate genes associated with resistance, we applied a comparative genomics approach in which we systematically explored the complete set of genes adjacent to SNPs, which explained more than 1% of the genetic variance of resistance in each salmonid species (533 genes in total). Thus, genes were classified based on the following criteria: i) shared function of their protein domains among species, ii) shared orthology among species, iii) proximity to the SNP explaining the highest proportion of the genetic variance, and iv) presence in more than one genomic region explaining more than 1% of the genetic variance within species. Our results allowed us to identify 120 candidate genes belonging to at least one of the four criteria described above. Of these, 21 of them were part of at least two of the criteria defined above and are suggested to be strong functional candidates influencing P. salmonis resistance. These genes are related to diverse biological processes, such as kinase activity, GTP hydrolysis, helicase activity, lipid metabolism, cytoskeletal dynamics, inflammation, and innate immune response, which seem essential in the host response against P. salmonis infection. These results provide fundamental knowledge on the potential functional genes underpinning resistance against P. salmonis in three salmonid species.

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          Mapping genes for complex traits in domestic animals and their use in breeding programmes.

          Genome-wide panels of SNPs have recently been used in domestic animal species to map and identify genes for many traits and to select genetically desirable livestock. This has led to the discovery of the causal genes and mutations for several single-gene traits but not for complex traits. However, the genetic merit of animals can still be estimated by genomic selection, which uses genome-wide SNP panels as markers and statistical methods that capture the effects of large numbers of SNPs simultaneously. This approach is expected to double the rate of genetic improvement per year in many livestock systems.
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            • Record: found
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            DEAD-box proteins: the driving forces behind RNA metabolism.

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              SyMAP v3.4: a turnkey synteny system with application to plant genomes

              SyMAP (Synteny Mapping and Analysis Program) was originally developed to compute synteny blocks between a sequenced genome and a FPC map, and has been extended to support pairs of sequenced genomes. SyMAP uses MUMmer to compute the raw hits between the two genomes, which are then clustered and filtered using the optional gene annotation. The filtered hits are input to the synteny algorithm, which was designed to discover duplicated regions and form larger-scale synteny blocks, where intervening micro-rearrangements are allowed. SyMAP provides extensive interactive Java displays at all levels of resolution along with simultaneous displays of multiple aligned pairs. The synteny blocks from multiple chromosomes may be displayed in a high-level dot plot or three-dimensional view, and the user may then drill down to see the details of a region, including the alignments of the hits to the gene annotation. These capabilities are illustrated by showing their application to the study of genome duplication, differential gene loss and transitive homology between sorghum, maize and rice. The software may be used from a website or standalone for the best performance. A project manager is provided to organize and automate the analysis of multi-genome groups. The software is freely distributed at http://www.agcol.arizona.edu/software/symap.
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                Author and article information

                Contributors
                Journal
                Front Genet
                Front Genet
                Front. Genet.
                Frontiers in Genetics
                Frontiers Media S.A.
                1664-8021
                05 August 2019
                2019
                : 10
                : 665
                Affiliations
                [1] 1Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile , Santiago, Chile
                [2] 2Núcleo Milenio INVASAL , Concepción, Chile
                [3] 3Instituto de Nutrición y Tecnología de los Alimentos, Universidad de Chile , Santiago, Chile
                [4] 4Doctorado en Acuicultura. Programa Cooperativo Universidad de Chile, Universidad Católica del Norte, Pontificia Universidad Católica de Valparaíso , Valparaíso, Chile
                [5] 5Facultad de Ciencias del Mar, Universidad Católica del Norte , Coquimbo, Chile
                [6] 6Benchmark Genetics Chile , Puerto Montt, Chile
                [7] 7The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh Easter Bush , Midlothian, United Kingdom
                [8] 8Escuela de Medicina Veterinaria, Facultad de Ciencias de la Vida, Universidad Andres Bello , Santiago, Chile
                [9] 9Fisheries and Oceans Canada , West Vancouver, BC, Canada
                [10] 10Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences , Uppsala, Sweden
                [11] 11School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp) , Jaboticabal, Brazil
                [12] 12National Council for Scientific and Technological Development (CNPq) , Brasília, Brazil
                Author notes

                Edited by: Christos Palaiokostas, Swedish University of Agricultural Sciences, Sweden

                Reviewed by: Alastair Hamilton, Hendrix Genetics BV, Netherlands; Marieke Verleih, Leibniz Institute for Farm Animal Biology, Germany

                *Correspondence: José M. Yáñez, jmayanez@ 123456uchile.cl ; Rodrigo Pulgar, rpulgar@ 123456inta.uchile.cl

                This article was submitted to Livestock Genomics, a section of the journal Frontiers in Genetics

                Article
                10.3389/fgene.2019.00665
                6690157
                fdfb6d0c-530f-4bb4-9cfc-13f170ba2a6d
                Copyright © 2019 Yáñez, Yoshida, Parra, Correa, Barría, Bassini, Christensen, López, Carvalheiro, Lhorente and Pulgar

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 24 March 2019
                : 25 June 2019
                Page count
                Figures: 4, Tables: 2, Equations: 14, References: 82, Pages: 13, Words: 6692
                Categories
                Genetics
                Original Research

                Genetics
                coho salmon,rainbow trout,atlantic salmon,piscirickettsia salmonis,genome-wide association study,comparative genomics,piscirickettsiosis

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