26
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Genome-wide divergence patterns support fine-scaled genetic structuring associated with migration tendency in brown trout

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references66

          • Record: found
          • Abstract: found
          • Article: not found

          The impact of next-generation sequencing technology on genetics.

          If one accepts that the fundamental pursuit of genetics is to determine the genotypes that explain phenotypes, the meteoric increase of DNA sequence information applied toward that pursuit has nowhere to go but up. The recent introduction of instruments capable of producing millions of DNA sequence reads in a single run is rapidly changing the landscape of genetics, providing the ability to answer questions with heretofore unimaginable speed. These technologies will provide an inexpensive, genome-wide sequence readout as an endpoint to applications ranging from chromatin immunoprecipitation, mutation mapping and polymorphism discovery to noncoding RNA discovery. Here I survey next-generation sequencing technologies and consider how they can provide a more complete picture of how the genome shapes the organism.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            COLONY: a program for parentage and sibship inference from multilocus genotype data.

            Pedigrees, depicting genealogical relationships between individuals, are important in several research areas. Molecular markers allow inference of pedigrees in wild species where relationship information is impossible to collect by observation. Marker data are analysed statistically using methods based on Mendelian inheritance rules. There are numerous computer programs available to conduct pedigree analysis, but most software is inflexible, both in terms of assumptions and data requirements. Most methods only accommodate monogamous diploid species using codominant markers without genotyping error. In addition, most commonly used methods use pairwise comparisons rather than a full-pedigree likelihood approach, which considers the likelihood of the entire pedigree structure and allows the simultaneous inference of parentage and sibship. Here, we describe colony, a computer program implementing full-pedigree likelihood methods to simultaneously infer sibship and parentage among individuals using multilocus genotype data. colony can be used for both diploid and haplodiploid species; it can use dominant and codominant markers, and can accommodate, and estimate, genotyping error at each locus. In addition, colony can carry out these inferences for both monoecious and dioecious species. The program is available as a Microsoft Windows version, which includes a graphical user interface, and a Macintosh version, which uses an R-based interface. © 2009 Blackwell Publishing Ltd.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              2b-RAD: a simple and flexible method for genome-wide genotyping.

              We describe 2b-RAD, a streamlined restriction site-associated DNA (RAD) genotyping method based on sequencing the uniform fragments produced by type IIB restriction endonucleases. Well-studied accessions of Arabidopsis thaliana were genotyped to validate the method's accuracy and to demonstrate fine-tuning of marker density as needed. The simplicity of the 2b-RAD protocol makes it particularly suitable for high-throughput genotyping as required for linkage mapping and profiling genetic variation in natural populations.
                Bookmark

                Author and article information

                Journal
                Canadian Journal of Fisheries and Aquatic Sciences
                Can. J. Fish. Aquat. Sci.
                Canadian Science Publishing
                0706-652X
                1205-7533
                October 2018
                October 2018
                : 75
                : 10
                : 1680-1692
                Affiliations
                [1 ]Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland.
                [2 ]Department of Biology, University of Turku, FI-20014, Turku, Finland.
                [3 ]Department of Biological and Environmental Science, University of Jyväskylä, FI-40014, P.O. Box 35, Finland.
                [4 ]Department of Aquaculture, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, 51014 Tartu, Estonia.
                [5 ]Natural Resources Institute Finland, Manamansalontie 90, FI-88300, Paltamo, Finland.
                [6 ]Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland.
                Article
                10.1139/cjfas-2017-0014
                eff75997-56cc-4d73-be73-e2798f93cb36
                © 2018

                http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining

                History

                Comments

                Comment on this article