43
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Discrimination of the commercial Korean native chicken population using microsatellite markers

      research-article

      Read this article at

      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.

          Abstract

          Background

          Korean native chicken (KNC) is a well-known breed due to its superior meat taste. This breed, however, owing to a low growth rate, has a high market price. In order to overcome this disadvantage, the National Institute of Animal Science (NIAS) in Korea developed a commercial KNC breed, named Woorimatdag version 2 (WM2), an upgraded version of the Woorimatdag (WM1) breed and the WM2 was created by crossing the KNC with meat type breeds. This study aims to discriminate between WM2 and other chicken breeds using microsatellite (MS) markers.

          Methods

          A total of 302 individuals from eight Korean chicken populations were examined. The genetic diversity and population structure analysis were investigated using Cervus, API-CALC, STRUCTURE, PowerMarker programs.

          Results

          Based on heterozygosity and polymorphic information content (PIC) values, 30 MS markers were initially selected from 150 markers. The identified average number of alleles (Na), expected heterozygosity, and PIC values for the WM2 samples were 7.17, 0.741, and 0.682, respectively. Additionally, the paternity of individuals was assigned with a success rate of greater than 99% using 12 markers, the best minimum number of markers. The 12 selected markers contained heterozygosity and PIC values above 0.7 and probability of identity values around zero. Using these markers, the determined probability of identity ( PI), PI half-sibs , and PI sibs values were 3.23E-33, 5.03E-22, and 8.61E-08, respectively.

          Conclusions

          WM2 is well differentiated with respect to other chicken breeds based on estimated genetic distances. The results presented here will contribute to the identification of commercial WM2 chicken in the market.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s40781-015-0044-6) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references15

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

          Statistical confidence for likelihood-based paternity inference in natural populations.

          Paternity inference using highly polymorphic codominant markers is becoming common in the study of natural populations. However, multiple males are often found to be genetically compatible with each offspring tested, even when the probability of excluding an unrelated male is high. While various methods exist for evaluating the likelihood of paternity of each nonexcluded male, interpreting these likelihoods has hitherto been difficult, and no method takes account of the incomplete sampling and error-prone genetic data typical of large-scale studies of natural systems. We derive likelihood ratios for paternity inference with codominant markers taking account of typing error, and define a statistic delta for resolving paternity. Using allele frequencies from the study population in question, a simulation program generates criteria for delta that permit assignment of paternity to the most likely male with a known level of statistical confidence. The simulation takes account of the number of candidate males, the proportion of males that are sampled and gaps and errors in genetic data. We explore the potentially confounding effect of relatives and show that the method is robust to their presence under commonly encountered conditions. The method is demonstrated using genetic data from the intensively studied red deer (Cervus elaphus) population on the island of Rum, Scotland. The Windows-based computer program, CERVUS, described in this study is available from the authors. CERVUS can be used to calculate allele frequencies, run simulations and perform parentage analysis using data from all types of codominant markers.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found
            Is Open Access

            Review of quantitative trait loci identified in the chicken.

            Methods for mapping QTL are actively used in the chicken to identify chromosomal regions contributing to variation in traits related to growth, disease resistance, egg production, behavior, and metabolic parameters. However, higher-resolution mapping and better knowledge of the genetic architecture underlying QTL are needed for successful application of this information into breeding programs. Therefore, this paper summarizes and integrates original, primary QTL studies in the chicken to identify basic information on the genetic architecture of quantitative traits in chickens. The results of this review show several instances of consensus of QTL locations for similar traits from independent studies. Furthermore, the consensus of QTL location for different traits and evidence for QTL with parent-of-origin effect, transgressive alleles, epistatic QTL, and QTL x sex interaction in chicken are presented and discussed. This information can be helpful in identifying genes or mutations underlying the QTL and in the application of genomic information in marker-assisted breeding programs.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Comparison of Quality Traits of Thigh Meat from Korean Native Chickens and Broilers

                Bookmark

                Author and article information

                Contributors
                nuri23@cnu.ac.kr
                seotuna@naver.com
                benjemaaslim@yahoo.fr
                sultanamyn@yahoo.com
                knheo0616@korea.kr
                cheorun@snu.ac.kr
                junheon@cnu.ac.kr
                Journal
                J Anim Sci Technol
                J Anim Sci Technol
                Journal of Animal Science and Technology
                BioMed Central (London )
                2055-0391
                5 February 2015
                5 February 2015
                2015
                : 57
                : 5
                Affiliations
                [ ]Department of Animal Science and Biotechnology, College of Agriculture and Life Sciences, Chungnam National University, Daejeon, 305-764 Republic of Korea
                [ ]INRA-Tunisie, Laboratoire des Productions Animales et Fourragères, Rue Hédi Karray, 2049 Ariana Tunisia
                [ ]Poultry Science Division, National Institute of Animal Science, RDA, Cheonan, 331-801 Republic of Korea
                [ ]Department of Agricultural Biotechnology, Center for Food and Bioconvergence, and Research Institute for Agriculture and Life Science, Seoul National University, Seoul, 151-921 Republic of Korea
                Article
                44
                10.1186/s40781-015-0044-6
                4540261
                26290725
                bf7e6cb1-74b2-4247-ac1a-b78c85382245
                © Choi et al.; licensee BioMed Central. 2015

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 23 December 2014
                : 20 January 2015
                Categories
                Research
                Custom metadata
                © The Author(s) 2015

                discrimination,diversity,microsatellite,korean native chicken,woorimatdag

                Comments

                Comment on this article