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      Runs of homozygosity in a selected cattle population with extremely inbred bulls: Descriptive and functional analyses revealed highly variable patterns

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          Abstract

          The analysis of runs of homozygosity (ROH), using high throughput genomic data, has become a valuable and frequently used methodology to characterize the genomic and inbreeding variation of livestock and wildlife animal populations. However, this methodology has been scarcely used in highly inbred domestic animals. Here, we analyzed and characterized the occurrence of ROH fragments in highly inbred (HI; average pedigree-based inbreeding coefficient F PED = 0.164; 0.103 to 0.306) and outbred Retinta bulls (LI; average F PED = 0.008; 0 to 0.025). We studied the length of the fragments, their abundance, and genome distribution using high-density microarray data. The number of ROH was significantly higher in the HI group, especially for long fragments (>8Mb). In the LI group, the number of ROH continuously decreased with fragment length. Genome-wide distribution of ROH was highly variable between samples. Some chromosomes presented a larger number of fragments (BTA1, BTA19, BTA29), others had longer fragments (BTA4, BTA12, BTA17), while other ones showed an increased ROH accumulation over specific loci (BTA2, BTA7, BTA23, BTA29). Similar differences were observed in the analysis of 12 individuals produced by a similar inbred event (F PED3 = 0.125). The correlation between the fraction of the genome covered by ROH (F ROH) and F PED was high (0.79), suggesting that ROH-based estimations are indicative of inbreeding levels. On the other hand, the correlation between F PED and the microsatellite-based inbreeding coefficient (F MIC) was only moderate (r = 0.44), suggesting that STR-based inbreeding estimations should be avoided. Similarly, we found a very low correlation (r = -0.0132) between recombination rate and ROH abundance across the genome. Finally, we performed functional annotation analyses of genome regions with significantly enriched ROH abundance. Results revealed gene clusters related to pregnancy-associated proteins and immune reaction. The same analysis performed for regions enriched with recently formed ROH (> 8 Mb) showed gene clusters related to flagellum assembly. In both cases, the processes were related to male and female reproductive functions, which may partially explain the reduced fertility associated with inbred populations.

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          The genetics of inbreeding depression.

          Inbreeding depression - the reduced survival and fertility of offspring of related individuals - occurs in wild animal and plant populations as well as in humans, indicating that genetic variation in fitness traits exists in natural populations. Inbreeding depression is important in the evolution of outcrossing mating systems and, because intercrossing inbred strains improves yield (heterosis), which is important in crop breeding, the genetic basis of these effects has been debated since the early twentieth century. Classical genetic studies and modern molecular evolutionary approaches now suggest that inbreeding depression and heterosis are predominantly caused by the presence of recessive deleterious mutations in populations.
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            Coefficients of Inbreeding and Relationship

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              Genomic patterns of homozygosity in worldwide human populations.

              Genome-wide patterns of homozygosity runs and their variation across individuals provide a valuable and often untapped resource for studying human genetic diversity and evolutionary history. Using genotype data at 577,489 autosomal SNPs, we employed a likelihood-based approach to identify runs of homozygosity (ROH) in 1,839 individuals representing 64 worldwide populations, classifying them by length into three classes-short, intermediate, and long-with a model-based clustering algorithm. For each class, the number and total length of ROH per individual show considerable variation across individuals and populations. The total lengths of short and intermediate ROH per individual increase with the distance of a population from East Africa, in agreement with similar patterns previously observed for locus-wise homozygosity and linkage disequilibrium. By contrast, total lengths of long ROH show large interindividual variations that probably reflect recent inbreeding patterns, with higher values occurring more often in populations with known high frequencies of consanguineous unions. Across the genome, distributions of ROH are not uniform, and they have distinctive continental patterns. ROH frequencies across the genome are correlated with local genomic variables such as recombination rate, as well as with signals of recent positive selection. In addition, long ROH are more frequent in genomic regions harboring genes associated with autosomal-dominant diseases than in regions not implicated in Mendelian diseases. These results provide insight into the way in which homozygosity patterns are produced, and they generate baseline homozygosity patterns that can be used to aid homozygosity mapping of genes associated with recessive diseases. Copyright © 2012 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: Writing – original draft
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Software
                Role: Data curationRole: MethodologyRole: Software
                Role: Formal analysisRole: InvestigationRole: Supervision
                Role: Formal analysisRole: MethodologyRole: SoftwareRole: Writing – review & editing
                Role: InvestigationRole: ResourcesRole: SupervisionRole: Validation
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                9 July 2018
                2018
                : 13
                : 7
                : e0200069
                Affiliations
                [1 ] IGEVET–Instituto de Genética Veterinaria "Ing. Fernando N. Dulout” (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias UNLP, La Plata, Argentina
                [2 ] Departamento de Genética, Universidad de Córdoba, Córdoba, España
                [3 ] Department of Animal Science, University of California, Davis, Davis, California, United States of America
                [4 ] Departamento de Producción Animal, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina
                Gaziosmanpasa University, TURKEY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-3286-2441
                Article
                PONE-D-17-33706
                10.1371/journal.pone.0200069
                6037354
                29985951
                e6b40c43-fa16-42f1-8d9c-111cb83bebbf

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 18 September 2017
                : 19 June 2018
                Page count
                Figures: 8, Tables: 4, Pages: 24
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100006668, Fondo para la Investigación Científica y Tecnológica;
                Award ID: PICT2016-4832
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100002923, Consejo Nacional de Investigaciones Científicas y Técnicas;
                Award ID: Beca Inetrna Doctoral 2017
                Award Recipient :
                National Association of Breeders of Select Retinta Cattle kindly supplied all the pedigree data and DNA samples. This work was funded by the Veterinary Genetics Diagnostic Laboratory (LDGV) and the Molecular and Applied Animal Cytogenetic Laboratory (MERAGEM Research Group) at the University of Cordoba (Spain) and by the Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT, Argentina) (grant PICT2016-4832). Ester Terán is supported by a doctoral internal fellowship of CONICET.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Heredity
                Inbreeding
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Mammals
                Bovines
                Cattle
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Mammals
                Ruminants
                Cattle
                Biology and Life Sciences
                Agriculture
                Livestock
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Biology and Life Sciences
                Genetics
                Heredity
                Genetic Mapping
                Variant Genotypes
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Biology and Life Sciences
                Biochemistry
                Proteins
                Protein Domains
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Genotyping
                Research and Analysis Methods
                Molecular Biology Techniques
                Genotyping
                Custom metadata
                Data were obtained from the National Association of Breeders of Select Retinta Cattle (ANCRE) via a signed data access agreement which does not allow for data sharing. Interested, qualified researchers may request these data by contacting ANCRE at razaretinta@ 123456retinta.es . The authors confirm that they did not have any special access privileges to these data.

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