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      Genomic regions and pathways associated with gastrointestinal parasites resistance in Santa Inês breed adapted to tropical climate

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          Abstract

          Background

          The aim of this study was to estimate variance components and to identify genomic regions and pathways associated with resistance to gastrointestinal parasites, particularly Haemonchus contortus, in a breed of sheep adapted to tropical climate. Phenotypes evaluations were performed to verify resistance to gastrointestinal parasites, and were divided into two categories: i) farm phenotypes, assessing body condition score (BCS), degree of anemia assessed by the famacha chart (FAM), fur score (FS) and feces consistency (FC); and ii) lab phenotypes, comprising blood analyses for hematocrit (HCT), white blood cell count (WBC), red blood cell count (RBC), hemoglobin (HGB), platelets (PLT) and transformed (log 10) egg per gram of feces (EPG log). A total of 576 animals were genotyped with the Ovine SNP12k BeadChip (Illumina, Inc.), that contains 12,785 bialleleic SNP markers. The variance components were estimated using a single trait model by single step genomic BLUP procedure.

          Results

          The overall linkage disequilibrium (LD) mean between pairs of markers measured by r 2 was 0.23. The overall LD mean between markers considering windows up to 10 Mb was 0.07. The mean LD between adjacent SNPs across autosomes ranged from 0.02 to 0.10. Heritability estimates were low for EPG log (0.11), moderate for RBC (0.18), PLT (0.17) HCT (0.20), HGB (0.16) and WBC (0.22), and high for FAM (0.35). A total of 22, 21, 23, 20, 26, 25 and 23 windows for EPG log for FAM, WBC, RBC, PLT, HCT and HGB traits were identified, respectively. Among the associated windows, 10 were shown to be common to HCT and HGB traits on OAR1, OAR2, OAR3, OAR5, OAR8 and OAR15.

          Conclusion

          The traits indicating gastrointestinal parasites resistance presented an adequate genetic variability to respond to selection in Santa Inês breed, and it is expected a higher genetic gain for FAM trait when compared to the others. The level of LD estimated for markers separated by less than 1 Mb indicated that the Ovine SNP12k BeadChip might be a suitable tool for identifying genomic regions associated with traits related to gastrointestinal parasite resistance. Several candidate genes related to immune system development and activation, inflammatory response, regulation of lymphocytes and leukocytes proliferation were found. These genes may help in the selection of animals with higher resistance to parasites.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s40104-017-0190-4) contains supplementary material, which is available to authorized users.

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          Most cited references51

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          Chemokines: a new classification system and their role in immunity.

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            Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score.

            The first national single-step, full-information (phenotype, pedigree, and marker genotype) genetic evaluation was developed for final score of US Holsteins. Data included final scores recorded from 1955 to 2009 for 6,232,548 Holsteins cows. BovineSNP50 (Illumina, San Diego, CA) genotypes from the Cooperative Dairy DNA Repository (Beltsville, MD) were available for 6,508 bulls. Three analyses used a repeatability animal model as currently used for the national US evaluation. The first 2 analyses used final scores recorded up to 2004. The first analysis used only a pedigree-based relationship matrix. The second analysis used a relationship matrix based on both pedigree and genomic information (single-step approach). The third analysis used the complete data set and only the pedigree-based relationship matrix. The fourth analysis used predictions from the first analysis (final scores up to 2004 and only a pedigree-based relationship matrix) and prediction using a genomic based matrix to obtain genetic evaluation (multiple-step approach). Different allele frequencies were tested in construction of the genomic relationship matrix. Coefficients of determination between predictions of young bulls from parent average, single-step, and multiple-step approaches and their 2009 daughter deviations were 0.24, 0.37 to 0.41, and 0.40, respectively. The highest coefficient of determination for a single-step approach was observed when using a genomic relationship matrix with assumed allele frequencies of 0.5. Coefficients for regression of 2009 daughter deviations on parent-average, single-step, and multiple-step predictions were 0.76, 0.68 to 0.79, and 0.86, respectively, which indicated some inflation of predictions. The single-step regression coefficient could be increased up to 0.92 by scaling differences between the genomic and pedigree-based relationship matrices with little loss in accuracy of prediction. One complete evaluation took about 2h of computing time and 2.7 gigabytes of memory. Computing times for single-step analyses were slightly longer (2%) than for pedigree-based analysis. A national single-step genetic evaluation with the pedigree relationship matrix augmented with genomic information provided genomic predictions with accuracy and bias comparable to multiple-step procedures and could account for any population or data structure. Advantages of single-step evaluations should increase in the future when animals are pre-selected on genotypes. Copyright 2010 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.
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              Simulation Run Length Control in the Presence of an Initial Transient

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                Author and article information

                Contributors
                mapberton@gmail.com
                rafael.zte@gmail.com
                elisa_peripolli@gmail.com
                nedeniabs@gmail.com
                jmj@inia.es
                saura.maria@inia.es
                villanueva.beatriz@inia.es
                miguel.toro@upm.es
                gbanchero@le.inia.org.com
                oliveiraps1982@gmail.com
                joapeler@usp.br
                fernandobaldiuy@gmail.com
                jbferraz@usp.br
                Journal
                J Anim Sci Biotechnol
                J Anim Sci Biotechnol
                Journal of Animal Science and Biotechnology
                BioMed Central (London )
                1674-9782
                2049-1891
                4 September 2017
                4 September 2017
                2017
                : 8
                : 73
                Affiliations
                [1 ]ISNI 0000 0001 2188 478X, GRID grid.410543.7, Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias, , Universidade Estadual Paulista, ; Via de acesso Prof. Paulo Donato Castellane, s/no, Jaboticabal, SP CEP 14884-900 Brazil
                [2 ]ISNI 0000 0001 2300 669X, GRID grid.419190.4, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria INIA, ; Crta. de la Coruña, km 7,5 -, 28040 Madrid, Spain
                [3 ]ISNI 0000 0001 2151 2978, GRID grid.5690.a, Departamento de Producción Agraria, School of Agricultural, Food and Byosystems Engineering, , Universisdad Politécnica de Madrid, ; Campus Ciudad Universitaria Avda. Complutense 3 - Avda. Puerta Hierro, 28040 Madrid, Spain
                [4 ]ISNI 0000 0004 0604 4346, GRID grid.473327.6, Instituto Nacional de Investigación Agropecuária (INIA), ; Ruta 50 Km. 12, Colonia, Uruguay
                [5 ]ISNI 0000 0004 1937 0722, GRID grid.11899.38, Faculdade de Zootecnia e Engenharia de Alimentos, Nucleo de Apoio à Pesquisa em Melhoramento Animal, Biotecnologia e Transgenia, , Universidade de São Paulo, ; Rua Duque de Caxias Norte, 225, Pirassununga, SP CEP 13635-900 Brazil
                Article
                190
                10.1186/s40104-017-0190-4
                5584554
                28878894
                bbebb540-d43d-4876-98ce-21dd15e426cd
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
                : 7 December 2016
                : 12 June 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001807, Fundação de Amparo à Pesquisa do Estado de São Paulo;
                Award ID: 2010/05516-7
                Award ID: 2011/00396-6
                Award ID: 2014/07566-2
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Animal science & Zoology
                gwas,linkage disequilibrium,parasites resistance,santa inês breed
                Animal science & Zoology
                gwas, linkage disequilibrium, parasites resistance, santa inês breed

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