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      Identifying copy number variation of the dominant virulence factors msa and p22 within genomes of the fish pathogen Renibacterium salmoninarum

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          Abstract

          Renibacterium salmoninarum is the causative agent of bacterial kidney disease, an important disease of farmed and wild salmonid fish worldwide. Despite the wide spatiotemporal distribution of this disease and habitat pressures ranging from the natural environment to aquaculture and rivers to marine environments, little variation has been observed in the R. salmoninarum genome. Here we use the coverage depth from genomic sequencing corroborated by real-time quantitative PCR to detect copy number variation (CNV) among the genes of R. salmoninarum. CNV was primarily limited to the known dominant virulence factors msa and p22. Among 68 isolates representing the UK, Norway and North America, the msa gene ranged from two to five identical copies and the p22 gene ranged from one to five copies. CNV for these two genes co-occurred, suggesting they may be functionally linked. Isolates carrying CNV were phylogenetically restricted and originated predominantly from sites in North America, rather than the UK or Norway. Although both phylogenetic relationship and geographical origin were found to correlate with CNV status, geographical origin was a much stronger predictor than phylogeny, suggesting a role for local selection pressures in the repeated emergence and maintenance of this trait.

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          Most cited references30

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          Selection in the evolution of gene duplications

          Background Gene duplications have a major role in the evolution of new biological functions. Theoretical studies often assume that a duplication per se is selectively neutral and that, following a duplication, one of the gene copies is freed from purifying (stabilizing) selection, which creates the potential for evolution of a new function. Results In search of systematic evidence of accelerated evolution after duplication, we used data from 26 bacterial, six archaeal, and seven eukaryotic genomes to compare the mode and strength of selection acting on recently duplicated genes (paralogs) and on similarly diverged, unduplicated orthologous genes in different species. We find that the ratio of nonsynonymous to synonymous substitutions (Kn/Ks) in most paralogous pairs is <<1 and that paralogs typically evolve at similar rates, without significant asymmetry, indicating that both paralogs produced by a duplication are subject to purifying selection. This selection is, however, substantially weaker than the purifying selection affecting unduplicated orthologs that have diverged to the same extent as the analyzed paralogs. Most of the recently duplicated genes appear to be involved in various forms of environmental response; in particular, many of them encode membrane and secreted proteins. Conclusions The results of this analysis indicate that recently duplicated paralogs evolve faster than orthologs with the same level of divergence and similar functions, but apparently do not experience a phase of neutral evolution. We hypothesize that gene duplications that persist in an evolving lineage are beneficial from the time of their origin, due primarily to a protein dosage effect in response to variable environmental conditions; duplications are likely to give rise to new functions at a later phase of their evolution once a higher level of divergence is reached.
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            Mantel test in population genetics

            The comparison of genetic divergence or genetic distances, estimated by pairwise FST and related statistics, with geographical distances by Mantel test is one of the most popular approaches to evaluate spatial processes driving population structure. There have been, however, recent criticisms and discussions on the statistical performance of the Mantel test. Simultaneously, alternative frameworks for data analyses are being proposed. Here, we review the Mantel test and its variations, including Mantel correlograms and partial correlations and regressions. For illustrative purposes, we studied spatial genetic divergence among 25 populations of Dipteryx alata (“Baru”), a tree species endemic to the Cerrado, the Brazilian savannas, based on 8 microsatellite loci. We also applied alternative methods to analyze spatial patterns in this dataset, especially a multivariate generalization of Spatial Eigenfunction Analysis based on redundancy analysis. The different approaches resulted in similar estimates of the magnitude of spatial structure in the genetic data. Furthermore, the results were expected based on previous knowledge of the ecological and evolutionary processes underlying genetic variation in this species. Our review shows that a careful application and interpretation of Mantel tests, especially Mantel correlograms, can overcome some potential statistical problems and provide a simple and useful tool for multivariate analysis of spatial patterns of genetic divergence.
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              ARNold: a web tool for the prediction of Rho-independent transcription terminators.

              Rho-independent termination is a major mechanism of transcriptional arrest in bacteria that controls both normal 3' termination and a wide array of regulatory attenuation events. Detecting Rho-independent terminators is an obliged step in the annotation of bacterial operons. Yet, while several efficient algorithms are available for this purpose, there is no freely available web site enabling a rapid scanning of raw genomic sequence for the presence of terminators. Here we implemented such a web server, which combines two published prediction algorithms, Erpin and RNAmotif, and performs nearly as well as more complex procedures while being accessible to the non specialist. The ARNold Web server is available at : http://rna.igmors.u-psud.fr/toolbox/arnold/
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                Author and article information

                Journal
                Microb Genom
                Microb Genom
                MGen
                Microbial Genomics
                Microbiology Society
                2057-5858
                April 2016
                29 April 2016
                : 2
                : 4
                : e000055
                Affiliations
                [ 1]Department of Bacteriology and Immunology Lovisenberggata 8, Norwegian Institute of Public Health/Department of Food Safety and Infection Biology, Norwegian University of Life Sciences (NMBU) ,Oslo,Norway
                [ 2]Department of Bacteriology - Aquatic and Terrestrial Animals, Norwegian Veterinary Institute (NVI), Oslo, Norway
                [ 3]Department of Biology and Biochemistry, University of Bath ,Claverton Down, Bath,United Kingdom
                [ 4]Department of Food Safety and Infection Biology, Norwegian University of Life Sciences (NMBU) ,Oslo,Norway
                [ 5]Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA ,Seattle, WA,United States
                Author notes
                Correspondence Ola Brynildsrud ( olbb@ 123456fhi.no )

                All supporting data, code and protocols have been provided within the article or through supplementary data files.

                Article
                mgen000055
                10.1099/mgen.0.000055
                5320689
                cde45a5b-3262-4789-af9e-785590b2e15a
                © 2016 The Authors

                This is an open access article under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 January 2016
                : 17 March 2016
                Funding
                Funded by: Biotechnology and Biological Sciences Research Council
                Award ID: BB/M026388/1
                Categories
                Research Paper
                Genomic Methodologies: Genome variation detection
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                Open Access CC-BY-NC

                copy number variation,gene duplication-amplification,major soluble antigen,p22,renibacterium salmoninarum

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