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Sarviaho K, Uimari P, Martikainen K. Signatures of positive selection after the introduction of genomic selection in the Finnish Ayrshire population. J Dairy Sci 2024; 107:4822-4832. [PMID: 38490540 DOI: 10.3168/jds.2024-24105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 02/15/2024] [Indexed: 03/17/2024]
Abstract
The Finnish Ayrshire (FAY) belongs to the Nordic Red breeds and is characterized by high milk yield, high milk components, good fertility, and functional conformation. The FAY breeding program is based on genomic selection. Despite the benefits of selection on breeding values, autozygosity in the genome may increase due to selection, and increased autozygosity may cause inbreeding depression in selected traits. However, there is lack of studies concerning selection signatures in the FAY after genomic selection introduction. The aim of this study was to identify signatures of selection in FAY after the introduction of genomic selection. Genomic data included 45,834 SNPs. The genotyped animals were divided into 2 groups: animals born before genomic selection introduction (6,108 cows) and animals born after genomic selection introduction (47,361 cows). We identified the selection signatures using 3 complementary methods: 2 based on identification of selection signatures from runs of homozygosity (ROH) islands and one based on the decay of site-specific extended haplotype between populations at SNP sites (Rsb). In total, we identified 34 ROH islands on chromosomes 1, 3, 6, 8, 12-15, 17, 19, 22, and 26 in FAY animals born before genomic selection (between 1980 and 2011) and 30 ROH islands on chromosomes 1-3, 13-17, 22, and 25-26 in FAY animals born after genomic selection introduction (between 2015 and 2020). We additionally detected 22 ΔROH islands on chromosomes 2-3, 11, 13, 14, 16, 18, 20, and 25-26. Finally, a total of 31 Rsb regions on chromosomes 2, 3, 14, 18, 20, and 25 were identified. Based on the results, genomic selection has favored certain alleles and haplotypes on genomic regions related to traits relevant in the FAY breeding program: milk production, fertility, growth, beef production traits, and feed efficiency. Several genes related to these traits (e.g., PLA2G4A, MECR, CHUK, COX15, RICTOR, SHISA9, and SEMA4G) overlapped or partially overlapped the observed selection signature regions. The association of genotypes within these regions and their effects on traits relevant in the FAY breeding program should be studied and genetic regions undergoing selection monitored in the FAY population.
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Affiliation(s)
- Katri Sarviaho
- Department of Agricultural Sciences, University of Helsinki, Helsinki 00014, Finland.
| | - Pekka Uimari
- Department of Agricultural Sciences, University of Helsinki, Helsinki 00014, Finland
| | - Katja Martikainen
- Department of Agricultural Sciences, University of Helsinki, Helsinki 00014, Finland
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Laseca N, Ziadi C, Perdomo-Gonzalez DI, Valera M, Demyda-Peyras S, Molina A. Reproductive traits in Pura Raza Española mares manifest inbreeding depression from low levels of homozygosity. J Anim Breed Genet 2024; 141:453-464. [PMID: 38299872 DOI: 10.1111/jbg.12856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 01/18/2024] [Accepted: 01/22/2024] [Indexed: 02/02/2024]
Abstract
Inbreeding depression is a genetic phenomenon associated with the loss of fitness and mean phenotypic performance due to mating between relatives. Historically, inbreeding coefficients have been estimated from pedigree information. However, the onset of genomic selection programs provides large datasets of individuals genotyped using SNP arrays, enabling more precise assessment of an individual's genomic-level inbreeding using genomic data. One of the traits most sensitive to issues stemming from increased inbreeding is reproduction. This is particularly important in equine, in which fertility is only moderate compared to other livestock species. To explore this further, we evaluated the effect of inbreeding on five reproductive traits (age at first foaling (AFF), average interval between foalings (AIF), total number of foalings (NF), productive life (PL) and reproductive efficiency (RE)) in Pura Raza Español mares using genomic data. Residual predicted phenotypes were obtained by purging these traits through the REML (wgResidual) and ssGREML (gResidual) approaches in reproductive data of 29,847 PRE mares using the BLUPF90+ program. Next, we used pedigree-based (Fped) and ROH-based genomic (FROH) inbreeding coefficients derived from 1018 animals genotyped with 61,271 SNPs to estimate the inbreeding depression (linear regression). Our results indicated significant levels of inbreeding depression for all reproductive traits, with the exception of the AIF trait when Fped was used. However, all traits were negatively affected by the increase in genomic inbreeding, and FROH was found to capture more inbreeding depression than Fped. Likewise, REML models (ssGREML) using genomic data for estimated predicted residual phenotypes resulted in higher variance explained by the model compared with the models not using genomics (REML). Finally, a segmented regression analysis was conducted to evaluate the effect of inbreeding depression, revealing that the levels of genealogical and genomic homozygosity do not manifest uniformly in reproductive traits. In contrast, the levels of inbreeding depression ranged from low to high as homozygosity increased. This analysis also showed that reproductive traits are very sensitive to inbreeding depression, even with relatively low levels of homozygosity.
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Affiliation(s)
- Nora Laseca
- Department of Genetics, University of Cordoba, Córdoba, Spain
| | - Chiraz Ziadi
- Department of Genetics, University of Cordoba, Córdoba, Spain
| | | | - Mercedes Valera
- Department of Agronomy, ETSIA, University of Seville, Seville, Spain
| | | | - Antonio Molina
- Department of Genetics, University of Cordoba, Córdoba, Spain
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Mugambe J, Ahmed RH, Thaller G, Schmidtmann C. Impact of inbreeding on production, fertility, and health traits in German Holstein dairy cattle utilizing various inbreeding estimators. J Dairy Sci 2024; 107:4714-4725. [PMID: 38310961 DOI: 10.3168/jds.2023-23728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 12/29/2023] [Indexed: 02/06/2024]
Abstract
In dairy cattle production, it is important to understand how inbreeding affects production, fertility, and health traits. However, there is still limited use of genomic information to estimate inbreeding, despite advancements in genotyping technologies. To address this gap, we investigated the effect of inbreeding on German Holstein dairy cattle using both pedigree-based and genomic-based inbreeding estimators. We employed one method based on pedigree information (Fped) together with 6 genomic-based methods, including 3 genome-wide complex trait analysis software estimators (Fhat1, Fhat2, Fhat3), VanRaden's first method (FVR1, with observed allele frequencies, and FVR0.5, when allele frequencies are set to 0.5), and one based on runs of homozygosity (Froh). Data from 24,489 cows with both phenotypes and genotypes were used, with a pedigree including 232,780 animals born between 1970 and 2018. We analyzed the effects of inbreeding depression on production, fertility, and health traits separately, using single-trait linear animal models as well as threshold models to account for the binary nature of the health traits. For the health traits, we transformed solutions from the liability scale to a probability scale for easier interpretation. Our results showed that the mean inbreeding coefficients from all estimators ranged from -0.003 to 0.243, with negative values observed for most genomic-based methods. We found out that a 1% increase in inbreeding caused a depression ranging from 25.94 kg (Fhat1) to 40.62 kg (Fhat3), 1.18 kg (Fhat2) to 1.70 kg (Fhat3), 0.90 kg (Fhat2) to 1.45 kg (Froh and Fhat3), 0.19 (Fped) to 0.34 d (Fhat3) for 305-d milk yield, fat, protein, and calving interval, respectively. The health traits showed very slight gradual changes when inbreeding was increased steadily from 0% to 50%, with digital dermatitis showing a rather contrasting trend to that of mastitis, which increased the more an animal was inbred. Overall, our study highlights the importance of considering both pedigree-based and genomic-based inbreeding estimators when assessing the impact on inbreeding, emphasizing that not all inbreeding is harmful.
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Affiliation(s)
- Julius Mugambe
- Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, 24098 Kiel, Germany.
| | - Rana H Ahmed
- Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, 24098 Kiel, Germany
| | - Georg Thaller
- Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, 24098 Kiel, Germany
| | - Christin Schmidtmann
- Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, 24098 Kiel, Germany; IT-Solutions for Animal Production (vit), 27283 Verden, Germany
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Lavanchy E, Weir BS, Goudet J. Detecting inbreeding depression in structured populations. Proc Natl Acad Sci U S A 2024; 121:e2315780121. [PMID: 38687793 PMCID: PMC11087799 DOI: 10.1073/pnas.2315780121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 03/19/2024] [Indexed: 05/02/2024] Open
Abstract
Measuring inbreeding and its consequences on fitness is central for many areas in biology including human genetics and the conservation of endangered species. However, there is no consensus on the best method, neither for quantification of inbreeding itself nor for the model to estimate its effect on specific traits. We simulated traits based on simulated genomes from a large pedigree and empirical whole-genome sequences of human data from populations with various sizes and structures (from the 1,000 Genomes project). We compare the ability of various inbreeding coefficients ([Formula: see text]) to quantify the strength of inbreeding depression: allele-sharing, two versions of the correlation of uniting gametes which differ in the weight they attribute to each locus and two identical-by-descent segments-based estimators. We also compare two models: the standard linear model and a linear mixed model (LMM) including a genetic relatedness matrix (GRM) as random effect to account for the nonindependence of observations. We find LMMs give better results in scenarios with population or family structure. Within the LMM, we compare three different GRMs and show that in homogeneous populations, there is little difference among the different [Formula: see text] and GRM for inbreeding depression quantification. However, as soon as a strong population or family structure is present, the strength of inbreeding depression can be most efficiently estimated only if i) the phenotypes are regressed on [Formula: see text] based on a weighted version of the correlation of uniting gametes, giving more weight to common alleles and ii) with the GRM obtained from an allele-sharing relatedness estimator.
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Affiliation(s)
- Eléonore Lavanchy
- Department of Ecology and Evolution, University of Lausanne, Lausanne1015, Switzerland
- Population Genetics and Genomics group, Swiss Institute of Bioinformatics, University of Lausanne, LausanneCH-1015, Switzerland
| | - Bruce S. Weir
- Department of Biostatistics, University of Washington, SeattleWA98195
| | - Jérôme Goudet
- Department of Ecology and Evolution, University of Lausanne, Lausanne1015, Switzerland
- Population Genetics and Genomics group, Swiss Institute of Bioinformatics, University of Lausanne, LausanneCH-1015, Switzerland
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Tenhunen S, Thomasen JR, Sørensen LP, Berg P, Kargo M. Genomic Analysis of Inbreeding and Coancestry in Nordic Jersey and Holstein Dairy Cattle Populations. J Dairy Sci 2024:S0022-0302(24)00740-9. [PMID: 38608951 DOI: 10.3168/jds.2023-24553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/01/2024] [Indexed: 04/14/2024]
Abstract
In recent years, Genomic Selection (GS) has accelerated genetic gain in dairy cattle breeds worldwide. Despite the evident genetic progress, several dairy populations have also encountered challenges such as heightened inbreeding rates and reduced effective population sizes. The challenge has been to find a balance between achieving substantial genetic gain while managing genetic diversity within the population, thereby mitigating the negative effects of inbreeding depression. This study aims to elucidate the impact of GS on pedigree and genomic rates of inbreeding (ΔF) and coancestry (ΔC) in Nordic Jersey (NJ) and Holstein (NH) cattle populations. Furthermore, key genetic metrics including the generation interval (L), effective population size (Ne), and future effective population size (FNe) were assessed between 2 time periods, before and after GS, and across distinct animal cohorts in both breeds: females, bulls, and approved semen-producing bulls (AI-sires). Analysis of ΔF and ΔC revealed distinct trends across the studied periods and animal groups. Notably, there was a consistent increase in yearly ΔF for most animal groups in both breeds. An exception was observed in NH AI-sires, which demonstrated a slight decrease in yearly ΔF. Moreover, NJ displayed minimal changes in yearly ΔC between the periods, whereas NH exhibited elevated ΔC values across all animal groups. Particularly striking was the substantial increase in yearly ΔC within the NH female population, surging from 0.02% to 0.39% between the periods. Implementation of GS resulted in a reduction of the generation interval across all animal cohorts in both NJ and NH breeds. However, the extent of reduction was more pronounced in males compared with females. This reduction in generation interval influenced generational changes in ΔF and ΔC. Bulls and AI-sires of both breeds exhibited reduced generational ΔF between periods, in contrast to females that demonstrated an opposing pattern. Between the periods, NJ maintained a relatively stable Ne, 29.4 before and 30.3 after GS, while NH experienced a notable decline from 54.3 to 42.8. Female groups in both breeds displayed a negative Ne trend, while males demonstrated either neutral or positive Ne developments. Regarding FNe, NJ exhibited positive FNe development with an increase from 40.7 to 57.2. The opposite was observed in NH, where FNe decreased from 198.8 to 42.7. In summary, it was evident that the genomic methods could detect differences between the populations and changes in ΔF and ΔC more efficiently than pedigree methods. GS implementation yielded positive outcomes within the NJ population regarding the rate of coancestry but the opposite was observed with NH. Moreover, analysis of ΔC data hints at the potential to decrease future ΔF through informed mating strategies. Conversely, NH faces more pressing concerns, even though ΔF remains comparatively modest in contrast to what has been observed in other Holstein populations. These findings underscore the necessity of genomic control of inbreeding and coancestry with strategic changes in the Nordic breeding schemes for dairy to ensure long-term sustainability in the forthcoming years.
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Affiliation(s)
- S Tenhunen
- Aarhus University, Centre for QGG, C. F. Møllers Allé 3, bld. 1130, 8000 Aarhus, Denmark; VikingGenetics, Ebeltoftvej 16, 8960 Randers SØ, Denmark.
| | - J R Thomasen
- VikingGenetics, Ebeltoftvej 16, 8960 Randers SØ, Denmark
| | - L P Sørensen
- VikingGenetics, Ebeltoftvej 16, 8960 Randers SØ, Denmark
| | - P Berg
- Norwegian University of Life Sciences, NMBU, Universitetstunet 3, 1433 Ås, Norway
| | - M Kargo
- Aarhus University, Centre for QGG, C. F. Møllers Allé 3, bld. 1130, 8000 Aarhus, Denmark; VikingGenetics, Ebeltoftvej 16, 8960 Randers SØ, Denmark
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Värv S, Põlluäär T, Sild E, Viinalass H, Kaart T. Genetic Variation and Composition of Two Commercial Estonian Dairy Cattle Breeds Assessed by SNP Data. Animals (Basel) 2024; 14:1101. [PMID: 38612340 PMCID: PMC11010984 DOI: 10.3390/ani14071101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
The aims of this study were to assess the genomic relatedness of Estonian and selected European dairy cattle breeds and to examine the within-breed diversity of two Estonian dairy breeds using genome-wide SNP data. This study was based on a genotyped heifer population of the Estonian Red (ER) and Estonian Holstein (EH) breeds, including about 10% of all female cattle born in 2017-2020 (sample sizes n = 215 and n = 2265, respectively). The within-breed variation study focused on the level of inbreeding using the ROH-based inbreeding coefficient. The genomic relatedness analyses were carried out among two Estonian and nine European breeds from the WIDDE database. Admixture analysis revealed the heterogeneity of ER cattle with a mixed pattern showing several ancestral populations containing a relatively low proportion (1.5-37.0%) of each of the reference populations used. There was a higher FROH in EH (FROH = 0.115) than in ER (FROH = 0.044). Compared to ER, the long ROHs of EH indicated more closely related parents. The paternal origin of the genetic material used in breeding had a low effect on the inbreeding level. However, among EH, the highest genomic inbreeding was estimated in daughters of USA-born sires.
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Affiliation(s)
- Sirje Värv
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Fr. R. Kreutzwaldi 1, 51006 Tartu, Estonia; (T.P.); (E.S.); (H.V.)
| | | | | | | | - Tanel Kaart
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Fr. R. Kreutzwaldi 1, 51006 Tartu, Estonia; (T.P.); (E.S.); (H.V.)
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Hervás-Rivero C, Srihi H, López-Carbonell D, Casellas J, Ibáñez-Escriche N, Negro S, Varona L. Genomic Scanning of Inbreeding Depression for Litter Size in Two Varieties of Iberian Pigs. Genes (Basel) 2023; 14:1941. [PMID: 37895290 PMCID: PMC10606707 DOI: 10.3390/genes14101941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/09/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
Inbreeding depression is expected to be more pronounced in fitness-related traits, such as pig litter size. Recent studies have suggested that the genetic determinism of inbreeding depression may be heterogeneous across the genome. Therefore, the objective of this study was to conduct a genomic scan of the whole pig autosomal genome to detect the genomic regions that control inbreeding depression for litter size in two varieties of Iberian pigs (Entrepelado and Retinto). The datasets consisted of 2069 (338 sows) and 2028 (327 sows) records of litter size (Total Number Born and Number Born Alive) for the Entrepelado and Retinto varieties. All sows were genotyped using the Geneseek GGP PorcineHD 70 K chip. We employed the Unfavorable Haplotype Finder software to extract runs of homozygosity (ROHs) and conducted a mixed-model analysis to identify highly significant differences between homozygous and heterozygous sows for each specific ROH. A total of eight genomic regions located on SSC2, SSC5, SSC7, SSC8, and SSC13 were significantly associated with inbreeding depression, housing some relevant genes such as FSHR, LHCGR, CORIN, AQP6, and CEP120.
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Affiliation(s)
- Carlos Hervás-Rivero
- Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50013 Zaragoza, Spain; (C.H.-R.); (D.L.-C.)
| | - Houssemeddine Srihi
- Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50013 Zaragoza, Spain; (C.H.-R.); (D.L.-C.)
| | - David López-Carbonell
- Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50013 Zaragoza, Spain; (C.H.-R.); (D.L.-C.)
| | - Joaquim Casellas
- Department Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
| | - Noelia Ibáñez-Escriche
- Instituto Universitario de Ciencia y Tecnología Animal, Universitat Politècnica de València, 46022 Valencia, Spain
| | - Sara Negro
- Programa de Mejora Genética “Castua”, INGA FOOD S. A. (Nutreco), 06200 Almendralejo, Spain
| | - Luis Varona
- Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, 50013 Zaragoza, Spain; (C.H.-R.); (D.L.-C.)
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Sarviaho K, Uimari P, Martikainen K. Estimating inbreeding rate and effective population size in the Finnish Ayrshire population in the era of genomic selection. J Anim Breed Genet 2023; 140:343-353. [PMID: 36808142 DOI: 10.1111/jbg.12762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 01/26/2023] [Indexed: 02/23/2023]
Abstract
Genomic selection has been applied in dairy cattle breeding over the last decade. Using genomic information may speed up genetic gain as breeding values can be predicted reasonably accurately directly after birth. However, genetic diversity may decrease if the inbreeding rate per generation increases and the effective population size decreases. Despite many positive qualities of the Finnish Ayrshire, for example, high average protein yield and fertility, over time the breed has lost its place as the most common dairy breed in Finland. Thus, maintaining the genetic variability of the breed is becoming more important. The aim of our research was to estimate the impact of genomic selection on inbreeding rate and effective population size using both pedigree and genomic data. The genomic data included 46,914 imputed single nucleotide polymorphism (SNP) variants from 75,038 individuals, and the pedigree data included 2,770,025 individuals. All animals in the data were born between 2000 and 2020. Genomic inbreeding coefficients were estimated as the proportion of SNPs in runs of homozygosity (ROH) out of the total number of SNPs. The inbreeding rate was estimated by regressing the mean genomic inbreeding coefficients on birth years. Effective population size was then estimated based on the inbreeding rate. Additionally, effective population size was estimated from the mean increase in individual inbreeding using pedigree data. Introduction of genomic selection was assumed to have taken place gradually; years 2012-2014 were treated as a transition period from the traditional phenotype-based breeding value estimation to genomic-based estimation. The median length of the identified homozygous segments was 5.5 Mbp, and a slight increase in the proportion of segments over 10 Mbp was observed after 2010. The inbreeding rate decreased from 2000 to 2011 and subsequently increased slightly. The pedigree- and genomic-based estimates of inbreeding rate were similar to each other. The estimates of effective population size based on the regression method were very sensitive to the number of years considered; thus, the estimates were not very reliable. The effective population size estimated from the mean increase in individual inbreeding reached its highest value of 160 in 2011 and decreased to 150 after that. In addition, the generation interval in the sire path has decreased from 5.5 years to 3.5 years after genomic selection was implemented. Based on our results, after the implementation of genomic selection, the proportion of long ROH stretches has increased, the generation interval in the sire path has decreased, the inbreeding rate has increased and the effective population size has decreased. However, the effective population size is still at a good level, allowing for an efficient selection scheme in the Finnish Ayrshire breed.
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Affiliation(s)
- Katri Sarviaho
- Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland
| | - Pekka Uimari
- Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland
| | - Katja Martikainen
- Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland
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Cortes-Hernández JG, Ruiz-López FJ, Vásquez-Peláez CG, García-Ruiz A. Runs of homocigosity and its association with productive traits in Mexican Holstein cattle. PLoS One 2022; 17:e0274743. [PMID: 36121861 PMCID: PMC9484644 DOI: 10.1371/journal.pone.0274743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 09/03/2022] [Indexed: 11/21/2022] Open
Abstract
The objective of this study was to describe the runs of homozygosity (ROH) detected in the Mexican Holstein population and to associate them with milk, fat and protein yields, and conformation final score. After imputation and genomic quality control, 4,227 genotyped animals with 100,806 SNPs markers each were used. ROH with a minimum length of 1 Mb and a minimum of 10 SNPs were included in the analysis. One heterozygous SNP marker and five missing genotypes per ROH were allowed. A total of 425,098 ROH were found in the studied population (71.83 ± 10.73 ROH per animal), with an average length and coverage of 4.80 ± 0.77 Mb, and 276.89 Mb, respectively. The average chromosome length covered by ROH was 10.40 ± 3.70 Mb. ROH between 1 and 2 Mb were the most frequent in the population (51.33%) while those between 14 and 16 Mb were the least frequent (1.20%). Long chromosomes showed a larger number of ROH. Chromosomes 10 and 20, had a greater percentage of their length covered by ROH because they presented a largest number of long ROH (>8 Mb). From the total ROH, 17 were detected in 1,847 animals and distributed among different chromosomes, and were associated with milk, fat and protein yield and percentage, and conformation final score. Of the ROH with effects on production traits, the majority were found with a length between 1 and 4 Mb. These results show evidence of genomic regions preserved by genetic selection and associated with the improvement of the productivity and functionality of dairy cattle.
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Affiliation(s)
- José G. Cortes-Hernández
- Programa de Maestría y Doctorado en Ciencias de la Producción y de la Salud Animal, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Felipe J. Ruiz-López
- Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias, Ajuchitlán Colón Querétaro, México
| | - Carlos G. Vásquez-Peláez
- Departamento de Genética y Bioestadística de la Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Adriana García-Ruiz
- Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias, Ajuchitlán Colón Querétaro, México
- * E-mail:
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Genomic inbreeding and runs of homozygosity analysis of indigenous cattle populations in southern China. PLoS One 2022; 17:e0271718. [PMID: 36006904 PMCID: PMC9409551 DOI: 10.1371/journal.pone.0271718] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/06/2022] [Indexed: 11/19/2022] Open
Abstract
Runs of homozygosity (ROH) are continuous homozygous segments from the common ancestor of parents. Evaluating ROH pattern can help to understand inbreeding level and genetic basis of important traits. In this study, three representative cattle populations including Leiqiong cattle (LQC), Lufeng cattle (LFC) and Hainan cattle (HNC) were genotyped using the Illumina BovineHD SNPs array (770K) to assess ROH pattern at genome wide level. Totally, we identified 26,537 ROH with an average of 153 ROH per individual. The sizes of ROH ranged from 0.5 to 53.26Mb, and the average length was 1.03Mb. The average of FROH ranged from 0.10 (LQC) to 0.15 (HNC). Moreover, we identified 34 ROH islands (with frequency > 0.5) across genome. Based on these regions, we observed several breed-specific candidate genes related to adaptive traits. Several common genes related to immunity (TMEM173, MZB1 and SIL1), and heat stress (DNAJC18) were identified in all three populations. Three genes related to immunity (UGP2), development (PURA) and reproduction (VPS54) were detected in both HNC and LQC. Notably, we identified several breed-specific genes related to sperm development (BRDT and SPAG6) and heat stress (TAF7) in HNC, and immunity (CDC23 and NME5) and development (WNT87) in LFC. Our findings provided valuable insights into understanding the genomic homozygosity pattern and promoting the conservation of genetic resources of Chinese indigenous cattle.
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Gutiérrez-Reinoso MA, Aponte PM, García-Herreros M. A review of inbreeding depression in dairy cattle: current status, emerging control strategies, and future prospects. J DAIRY RES 2022; 89:1-10. [PMID: 35225176 DOI: 10.1017/s0022029922000188] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Dairy cattle breeding has historically focused on relatively small numbers of elite bulls as sires of sons. In recent years, even if generation intervals were reduced and more diverse sires of sons could have been selected, genomic selection has not fundamentally changed the fact that a large number of individuals are being analyzed. However, a relatively small number of elite bulls are still siring those animals. Therefore inbreeding-derived negative consequences in the gene pool have brought concern. The detrimental effects of non-additive genetic changes such as inbreeding depression and dominance have been widely disseminated while seriously affecting bioeconomically important parameters because of an antagonistic relationship between dairy production and reproductive traits. Therefore, the estimation of benefits and limitations of inbreeding and variance of the selection response deserves to be evaluated and discussed to preserve genetic variability, a significant concern in the selection of individuals for reproduction and production. Short-term strategies for genetic merit improvement through modern breeding programs have severely lowered high-producing dairy cattle fertility potential. Since the current selection programs potentially increase long-term costs, genetic diversity has decreased globally as a consequence. Therefore, a greater understanding of the potential that selection programs have for supporting long-term genetic sustainability and genetic diversity among dairy cattle populations should be prioritized in managing farm profitability. The present review provides a broad approach to current inbreeding-derived problems, identifying critical points to be solved and possible alternative strategies to control selection against homozygous haplotypes while maintaining sustained selection pressure. Moreover, this manuscript explores future perspectives, emphasizing theoretical applications and critical points, and strategies to avoid the adverse effects of inbreeding in dairy cattle. Finally, this review provides an overview of challenges that will soon require multidisciplinary approaches to managing dairy cattle populations, intending to combine increases in productive trait phenotypes with improvements in reproductive, health, welfare, linear conformation, and adaptability traits into the foreseeable future.
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Affiliation(s)
- Miguel A Gutiérrez-Reinoso
- Universidad Técnica de Cotopaxi, Facultad de Ciencias Agropecuarias y Recursos Naturales, Carrera de Medicina Veterinaria (UTC), Latacunga, Ecuador
- Laboratorio de Biotecnología Animal, Departamento de Ciencia Animal, Facultad de Ciencias Veterinarias, Universidad de Concepción, Chillán (UdeC), Chile
| | - Pedro M Aponte
- Universidad San Francisco de Quito (USFQ), Colegio de Ciencias Biológicas y Ambientales (COCIBA), Campus Cumbayá, Quito, Ecuador
- Instituto de Investigaciones en Biomedicina, iBioMed, Universidad San Francisco de Quito (USFQ), Campus Cumbayá, Quito, Ecuador
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Laseca N, Molina A, Ramón M, Valera M, Azcona F, Encina A, Demyda-Peyrás S. Fine-Scale Analysis of Runs of Homozygosity Islands Affecting Fertility in Mares. Front Vet Sci 2022; 9:754028. [PMID: 35252415 PMCID: PMC8891756 DOI: 10.3389/fvets.2022.754028] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 01/10/2022] [Indexed: 11/16/2022] Open
Abstract
The loss of genetic variability in livestock populations bred under strict selection processes is a growing concern, as it may lead to increased inbreeding values and lower fertility, as a consequence of the “inbreeding depression” effect. This is particularly important in horses, where inbreeding levels tend to rise as individuals become more and more closely related. In this study, we evaluated the effect of increased inbreeding levels on mare fertility by combining an SNP-based genomic approach using runs of homozygosity and the estimation of genetic breeding values for reproductive traits in a large population of Pura Raza Española mares. Our results showed a negative correlation between whole-genome homozygosity and fertility estimated breeding values (EBVs) at the genome level (ρ = −0.144). However, the analysis at chromosome level revealed a wide variability, with some chromosomes showing higher correlations than others. Interestingly, the correlation was stronger (−0.241) when we repeated the analysis in a reduced dataset including the 10% most and least fertile individuals, where the latter showed an increase in average inbreeding values (FROH) of around 30%. We also found 41 genomic regions (ROHi, runs of homozygosity islands) where homozygosity increased 100-fold, 13 of which were significantly associated with fertility after cross-validation. These regions encompassed 17 candidate genes previously related to oocyte and embryo development in several species. Overall, we demonstrated the relationship between increased homozygosis at the genomic level and fertility in mares. Our findings may help to deal with the occurrence of inbreeding depression, as well as further our understanding of the mechanisms underlying fertility in mares.
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Affiliation(s)
- Nora Laseca
- Laboratorio de Diagnóstico Genético Veterinario, Departamento de Genética, Universidad de Córdoba, Córdoba, Spain
| | - Antonio Molina
- Laboratorio de Diagnóstico Genético Veterinario, Departamento de Genética, Universidad de Córdoba, Córdoba, Spain
| | - Manuel Ramón
- Cersyra de Valdepeñas, Instituto Regional de Investigación y Desarrollo Agroalimentario y Forestal Castilla La Mancha, Tomelloso, Spain
| | - Mercedes Valera
- Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agronómica, Universidad de Sevilla, Sevilla, Spain
| | - Florencia Azcona
- IGEVET (UNLP-CONICET LA PLATA), Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, La Plata, Argentina
| | - Ana Encina
- Departamento de Agronomía, Escuela Técnica Superior de Ingeniería Agronómica, Universidad de Sevilla, Sevilla, Spain
- Asociación Nacional de Criadores de Caballos de Pura Raza Española, Sevilla, Spain
| | - Sebastián Demyda-Peyrás
- Departamento de Producción Animal, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET LA PLATA), La Plata, Argentina
- *Correspondence: Sebastián Demyda-Peyrás
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13
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Pilon B, Hinterneder K, Hay EHA, Fragomeni B. Inbreeding Calculated with Runs of Homozygosity Suggests Chromosome-Specific Inbreeding Depression Regions in Line 1 Hereford. Animals (Basel) 2021; 11:ani11113105. [PMID: 34827837 PMCID: PMC8614356 DOI: 10.3390/ani11113105] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/19/2021] [Accepted: 10/25/2021] [Indexed: 01/12/2023] Open
Abstract
The goal of this study was to evaluate inbreeding in a closed beef cattle population and assess phenotype prediction accuracy using inbreeding information. Effects of inbreeding on average daily gain phenotype in the Line 1 Hereford cattle population were assessed in this study. Genomic data were used to calculate inbreeding based on runs of homozygosity (ROH), and pedigree information was used to calculate the probability of an allele being identical by descent. Prediction ability of phenotypes using inbreeding coefficients calculated based on pedigree information and runs of homozygosity over the whole genome was close to 0, even in the case of significant inbreeding coefficient effects. On the other hand, inbreeding calculated per individual chromosomes' ROH yielded higher accuracies of prediction. Additionally, including only ROH from chromosomes with higher predicting ability further increased prediction accuracy. Phenotype prediction accuracy, inbreeding depression, and the effects of chromosome-specific ROHs varied widely across the genome. The results of this study suggest that inbreeding should be evaluated per individual regions of the genome. Moreover, mating schemes to avoid inbreeding depression should focus more on specific ROH with negative effects. Finally, using ROH as added information may increase prediction of the genetic merit of animals in a genomic selection program.
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Affiliation(s)
- Bethany Pilon
- Department of Animal Science, University of Connecticut, Storrs, CT 06269, USA; (B.P.); (K.H.)
- College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Kelly Hinterneder
- Department of Animal Science, University of Connecticut, Storrs, CT 06269, USA; (B.P.); (K.H.)
- College of Veterinary Medicine, Lincoln Memorial University, Harrogate, TN 37752, USA
| | - El Hamidi A. Hay
- Fort Keogh Livestock and Range Research Laboratory, ARS, USDA, Miles City, MT 59301, USA;
| | - Breno Fragomeni
- Department of Animal Science, University of Connecticut, Storrs, CT 06269, USA; (B.P.); (K.H.)
- Institute for System Genomics, University of Connecticut, Storrs, CT 06269, USA
- Correspondence:
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Makanjuola BO, Maltecca C, Miglior F, Marras G, Abdalla EA, Schenkel FS, Baes CF. Identification of unique ROH regions with unfavorable effects on production and fertility traits in Canadian Holsteins. Genet Sel Evol 2021; 53:68. [PMID: 34461820 PMCID: PMC8406729 DOI: 10.1186/s12711-021-00660-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 08/19/2021] [Indexed: 12/02/2022] Open
Abstract
Background The advent of genomic information and the reduction in the cost of genotyping have led to the use of genomic information to estimate genomic inbreeding as an alternative to pedigree inbreeding. Using genomic measures, effects of genomic inbreeding on production and fertility traits have been observed. However, there have been limited studies on the specific genomic regions causing the observed negative association with the trait of interest. Our aim was to identify unique run of homozygosity (ROH) genotypes present within a given genomic window that display negative associations with production and fertility traits and to quantify the effects of these identified ROH genotypes. Methods In total, 50,575 genotypes based on a 50K single nucleotide polymorphism (SNP) array and 259,871 pedigree records were available. Of these 50,575 genotypes, 46,430 cows with phenotypic records for production and fertility traits and having a first calving date between 2008 and 2018 were available. Unique ROH genotypes identified using a sliding-window approach were fitted into an animal mixed model as fixed effects to determine their effect on production and fertility traits. Results In total, 133 and 34 unique ROH genotypes with unfavorable effects were identified for production and fertility traits, respectively, at a 1% genome-wise false discovery rate. Most of these ROH regions were located on bovine chromosomes 8, 13, 14 and 19 for both production and fertility traits. For production traits, the average of all the unfavorably identified unique ROH genotypes effects were estimated to decrease milk yield by 247.30 kg, fat yield by 11.46 kg and protein yield by 8.11 kg. Similarly, for fertility traits, an average 4.81-day extension in first service to conception, a 0.16 increase in number of services, and a − 0.07 incidence in 56-day non-return rate were observed. Furthermore, a ROH region located on bovine chromosome 19 was identified that, when homozygous, had a negative effect on production traits. Signatures of selection proximate to this region have implicated GH1 as a potential candidate gene, which encodes the growth hormone that binds the growth hormone receptor. This observed negative effect could be a consequence of unfavorable alleles in linkage disequilibrium with favorable alleles. Conclusions ROH genotypes with unfavorable effects on production and fertility traits were identified within and across multiple traits on most chromosomes. These identified ROH genotypes could be included in mate selection programs to minimize their frequency in future generations. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-021-00660-z.
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Affiliation(s)
- Bayode O Makanjuola
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.
| | - Christian Maltecca
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.,Department of Animal Science and Genetics Program, North Carolina State University, Raleigh, NC, 27607, USA
| | - Filippo Miglior
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | | | - Emhimad A Abdalla
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Flavio S Schenkel
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Christine F Baes
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.,Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
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15
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Terán E, Azcona F, Ramón M, Molina A, Dorado J, Hidalgo M, Ross P, Goszczynski D, Demyda-Peyrás S. Sperm morphometry is affected by increased inbreeding in the Retinta cattle breed: A molecular approach. Mol Reprod Dev 2021; 88:416-426. [PMID: 34009693 DOI: 10.1002/mrd.23475] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 03/02/2021] [Accepted: 04/14/2021] [Indexed: 12/11/2022]
Abstract
The effect of inbreeding depression on sperm motility is well documented, but its influence on sperm morphometry has been scarcely examined to date. Here, we combined the use of computer-assisted sperm morphometry analysis (CASMA) with a SNP-based genomic approach to determine and characterize the effect of inbreeding on the sperm shape of a highly inbred cattle population. We determined seven morphometric parameters on frozen-thawed sperm samples of 57 Retinta bulls: length (L, µm), width (W, µm), area (A, µm2 ), perimeter (P, µm), ellipticity (ELI; L/W), elongation (L-W)/(L + W) and perimeter-to-area shape factor (p2a; P2 /4 × π × A). The comparison of highly inbred (HI) and lowly inbreed (LI) individuals based on runs of homozygosity (ROH) inbreeding values (F ROH ) showed no differences between groups. An additional two-step unsupervised sperm subpopulation analysis based on morphometric parameters showed significant differences in the abundance of different sperm subpopulations between groups (p < 0.05). This analysis revealed that HI bulls harbored a higher percentage of narrow-head sperm as opposed to the higher percentage of large- and round-headed sperm detected in LI. A further genomic characterization revealed 23 regions differentially affected by inbreeding in both groups, detecting six genes (SPAG6, ARMC3, PARK7, VAMP3, DYNLRB2, and PHF7) previously related to different spermatogenesis-associated processes.
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Affiliation(s)
- Ester Terán
- IGEVET - Instituto de Genética Veterinaria, UNLP - CONICET, Facultad de Ciencias Veterinarias Universidad Nacional de la Plata, La Plata, Buenos Aires, Argentina.,Departamento de Producción Animal, Facultad de Ciencias Veterinarias, UNLP - CONICET, Facultad de Ciencias Veterinarias Universidad Nacional de la Plata, La Plata, Buenos Aires, Argentina
| | - Florencia Azcona
- IGEVET - Instituto de Genética Veterinaria, UNLP - CONICET, Facultad de Ciencias Veterinarias Universidad Nacional de la Plata, La Plata, Buenos Aires, Argentina
| | - Manuel Ramón
- CERSYRA-Centro Regional de Selección y Reproducción Animal de Castilla-La Mancha, Instituto Regional de Investigación y Desarrollo Agroalimentario y Forestal (IRIAF), Valdepeñas, España
| | - Antonio Molina
- Departamento de Genética, Universidad de Córdoba, Córdoba, España
| | - Jesús Dorado
- Grupo de Reproducción Veterinaria, Departamento de Medicina y Cirugía animal, Facultad de Veterinaria, Universidad de Córdoba, Córdoba, España
| | - Manuel Hidalgo
- Grupo de Reproducción Veterinaria, Departamento de Medicina y Cirugía animal, Facultad de Veterinaria, Universidad de Córdoba, Córdoba, España
| | - Pablo Ross
- Department of Animal Science, University of California at Davis, Davis, California, USA
| | - Daniel Goszczynski
- Department of Animal Science, University of California at Davis, Davis, California, USA
| | - Sebastián Demyda-Peyrás
- Departamento de Producción Animal, Facultad de Ciencias Veterinarias, UNLP - CONICET, Facultad de Ciencias Veterinarias Universidad Nacional de la Plata, La Plata, Buenos Aires, Argentina
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16
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Addo S, Klingel S, Thaller G, Hinrichs D. Genetic diversity and the application of runs of homozygosity-based methods for inbreeding estimation in German White-headed Mutton sheep. PLoS One 2021; 16:e0250608. [PMID: 33956807 PMCID: PMC8101715 DOI: 10.1371/journal.pone.0250608] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 04/09/2021] [Indexed: 11/19/2022] Open
Abstract
The German White-headed Mutton (GWM) sheep is a monitoring population believed to have been improved through crosses with other breeds, e.g., Texel (TXL) and French Berrichone du Cher (BDC). The primary aim of the study was to analyse genetic diversity and breed composition of GWM sheep. Furthermore, different measures of computing inbreeding from the runs of homozygosity (ROH) were investigated. Data for GWM consisted of pedigree information on 19,000 animals and 40,753 quality filtered SNPs on 46 individuals. Additionally, publicly available genotype data on 209 individuals belonging to nine sheep breeds were included in the analysis. Due to evenness of SNPs spacing and proportionality of the number of SNPs in each autosome to autosome length, a high correlation (rp = 0.99) was found between genomic inbreeding coefficients computed based on the length of ROH (FROH_L) and those computed relative to the number of SNPs in ROH (FROH_N). Total inbreeding was partitioned into values for individual chromosomes revealing the highest levels of inbreeding on chromosomes 1, 2 and 3. Correlations between the ROH-based inbreeding measures and pedigree inbreeding reached 0.82. The observed heterozygosity estimate in GWM was high (0.39), however, the breed suffered low level of effective population size (~50) from a genomic viewpoint. Moreover, effective number of founders (186), and effective number of ancestors (144) implied disequilibrium of founder contribution and a genetic bottleneck in the breed. Multidimensional scaling and network visualisation analyses revealed close connectedness of GWM to BDC and German Texel (GTX). A model-based admixture analysis consistently indicated the flow of genes from other breeds, particularly BDC to GWM. Our analyses highlight the mixed genetic background of GWM sheep and furthermore, suggest a close monitoring of the breed to consolidate its genetic diversity while averting further reduction in the effective population size.
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Affiliation(s)
- Sowah Addo
- Institute of Animal Breeding and Husbandry, Kiel University, Kiel, Germany
- Department of Animal Breeding, University of Kassel, Witzenhausen, Germany
- * E-mail:
| | - Stefanie Klingel
- Arche Warder, Center for Rare and Endangered Domestic Animals, Warder, Germany
| | - Georg Thaller
- Institute of Animal Breeding and Husbandry, Kiel University, Kiel, Germany
| | - Dirk Hinrichs
- Department of Animal Breeding, University of Kassel, Witzenhausen, Germany
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17
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Macciotta NPP, Colli L, Cesarani A, Ajmone-Marsan P, Low WY, Tearle R, Williams JL. The distribution of runs of homozygosity in the genome of river and swamp buffaloes reveals a history of adaptation, migration and crossbred events. Genet Sel Evol 2021; 53:20. [PMID: 33639853 PMCID: PMC7912491 DOI: 10.1186/s12711-021-00616-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 02/17/2021] [Indexed: 01/03/2023] Open
Abstract
Background Water buffalo is one of the most important livestock species in the world. Two types of water buffalo exist: river buffalo (Bubalus bubalis bubalis) and swamp buffalo (Bubalus bubalis carabanensis). The buffalo genome has been recently sequenced, and thus a new 90 K single nucleotide polymorphism (SNP) bead chip has been developed. In this study, we investigated the genomic population structure and the level of inbreeding of 185 river and 153 swamp buffaloes using runs of homozygosity (ROH). Analyses were carried out jointly and separately for the two buffalo types. Results The SNP bead chip detected in swamp about one-third of the SNPs identified in the river type. In total, 18,116 ROH were detected in the combined data set (17,784 SNPs), and 16,251 of these were unique. ROH were present in both buffalo types mostly detected (~ 59%) in swamp buffalo. The number of ROH per animal was larger and genomic inbreeding was higher in swamp than river buffalo. In the separated datasets (46,891 and 17,690 SNPs for river and swamp type, respectively), 19,760 and 10,581 ROH were found in river and swamp, respectively. The genes that map to the ROH islands are associated with the adaptation to the environment, fitness traits and reproduction. Conclusions Analysis of ROH features in the genome of the two water buffalo types allowed their genomic characterization and highlighted differences between buffalo types and between breeds. A large ROH island on chromosome 2 was shared between river and swamp buffaloes and contained genes that are involved in environmental adaptation and reproduction. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-021-00616-3.
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Affiliation(s)
| | - Licia Colli
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti-DIANA, Università Cattolica del Sacro Cuore, Piacenza, Italia.,Centro di Ricerca sulla Biodiversità e sul DNA Antico-BioDNA, Università Cattolica del Sacro Cuore, Piacenza, Italia
| | - Alberto Cesarani
- Dipartimento di Agraria, Università degli Studi di Sassari, Sassari, Italia. .,Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA.
| | - Paolo Ajmone-Marsan
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti-DIANA, Università Cattolica del Sacro Cuore, Piacenza, Italia.,Centro di Ricerca Nutrigenomica e Proteomica-PRONUTRIGEN, Università Cattolica del Sacro Cuore, Piacenza, Italia
| | - Wai Y Low
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - Rick Tearle
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - John L Williams
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti-DIANA, Università Cattolica del Sacro Cuore, Piacenza, Italia.,The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
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18
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Gutierrez-Reinoso MA, Aponte PM, Garcia-Herreros M. Genomic Analysis, Progress and Future Perspectives in Dairy Cattle Selection: A Review. Animals (Basel) 2021; 11:599. [PMID: 33668747 PMCID: PMC7996307 DOI: 10.3390/ani11030599] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 11/23/2020] [Accepted: 11/24/2020] [Indexed: 12/16/2022] Open
Abstract
Genomics comprises a set of current and valuable technologies implemented as selection tools in dairy cattle commercial breeding programs. The intensive progeny testing for production and reproductive traits based on genomic breeding values (GEBVs) has been crucial to increasing dairy cattle productivity. The knowledge of key genes and haplotypes, including their regulation mechanisms, as markers for productivity traits, may improve the strategies on the present and future for dairy cattle selection. Genome-wide association studies (GWAS) such as quantitative trait loci (QTL), single nucleotide polymorphisms (SNPs), or single-step genomic best linear unbiased prediction (ssGBLUP) methods have already been included in global dairy programs for the estimation of marker-assisted selection-derived effects. The increase in genetic progress based on genomic predicting accuracy has also contributed to the understanding of genetic effects in dairy cattle offspring. However, the crossing within inbred-lines critically increased homozygosis with accumulated negative effects of inbreeding like a decline in reproductive performance. Thus, inaccurate-biased estimations based on empirical-conventional models of dairy production systems face an increased risk of providing suboptimal results derived from errors in the selection of candidates of high genetic merit-based just on low-heritability phenotypic traits. This extends the generation intervals and increases costs due to the significant reduction of genetic gains. The remarkable progress of genomic prediction increases the accurate selection of superior candidates. The scope of the present review is to summarize and discuss the advances and challenges of genomic tools for dairy cattle selection for optimizing breeding programs and controlling negative inbreeding depression effects on productivity and consequently, achieving economic-effective advances in food production efficiency. Particular attention is given to the potential genomic selection-derived results to facilitate precision management on modern dairy farms, including an overview of novel genome editing methodologies as perspectives toward the future.
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Affiliation(s)
- Miguel A. Gutierrez-Reinoso
- Facultad de Ciencias Agropecuarias y Recursos Naturales, Carrera de Medicina Veterinaria, Universidad Técnica de Cotopaxi (UTC), Latacunga 05-0150, Ecuador
- Laboratorio de Biotecnología Animal, Departamento de Ciencia Animal, Facultad de Ciencias Veterinarias, Universidad de Concepción (UdeC), Chillán 3780000, Chile
| | - Pedro M. Aponte
- Colegio de Ciencias Biológicas y Ambientales (COCIBA), Universidad San Francisco de Quito (USFQ), Quito 170157, Ecuador
- Campus Cumbayá, Instituto de Investigaciones en Biomedicina “One-health”, Universidad San Francisco de Quito (USFQ), Quito 170157, Ecuador
| | - Manuel Garcia-Herreros
- Instituto Nacional de Investigação Agrária e Veterinária (INIAV), 2005-048 Santarém, Portugal
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19
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Sumreddee P, Toghiani S, Hay EH, Roberts A, Aggrey SE, Rekaya R. Runs of homozygosity and analysis of inbreeding depression. J Anim Sci 2021; 98:5979489. [PMID: 33180906 DOI: 10.1093/jas/skaa361] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 11/07/2020] [Indexed: 01/24/2023] Open
Abstract
Pedigree information was traditionally used to assess inbreeding. The availability of high-density marker panels provides an alternative to assess inbreeding, particularly in the presence of incomplete and error-prone pedigrees. Assessment of autozygosity across chromosomal segments using runs of homozygosity (ROH) has emerged as a valuable tool to estimate inbreeding due to its general flexibility and ability to quantify the chromosomal contribution to genome-wide inbreeding. Unfortunately, the identification of ROH segments is sensitive to the parameters used during the search process. These parameters are heuristically set, leading to significant variation in the results. The minimum length required to identify an ROH segment has major effects on the estimation of inbreeding and inbreeding depression, yet it is arbitrarily set. To overcome this limitation, a search algorithm to approximate mutation enrichment was developed to determine the minimum length of ROH segments. It consists of finding genome segments with significant effect differences in trait means between animals with high and low burdens of autozygous intervals with a specific length. The minimum length could be determined heuristically as the smallest interval at which a significant signal is detected. The proposed method was tested in an inbred Hereford cattle population genotyped for 30,220 SNPs. Phenotypes recorded for six traits were used for the approximation of mutation loads. The estimated minimum length was around 1 Mb for yearling weight (YW) and average daily gain (ADG) and 4 Mb for birth weight and weaning weight. These trait-specific thresholds estimated using the proposed method could be attributed to a trait-dependent effect of homozygosity. The detection of significant inbreeding effects was well aligned with the estimated thresholds, especially for YW and ADG. Although highly deleterious alleles are expected to be more frequent in recent inbreeding (long ROH), short ROH segments (<5 Mb) could contain a large number of less deleterious mutations with substantial joint effects on some traits (YW and ADG). Our results highlight the importance of accurate estimation of the ROH-based inbreeding and the necessity to consider a trait-specific minimum length threshold for the identification of ROH segments in inbreeding depression analyses. These thresholds could be determined using the proposed method provided the availability of phenotypic information.
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Affiliation(s)
| | - Sajjad Toghiani
- Beltsville Agricultural Research Center, USDA Agricultural Research Service, Beltsville, MD
| | - El Hamidi Hay
- Fort Keogh Livestock and Range Research Laboratory, USDA Agricultural Research Service, Miles City, MT
| | - Andrew Roberts
- Fort Keogh Livestock and Range Research Laboratory, USDA Agricultural Research Service, Miles City, MT
| | - Samuel E Aggrey
- Department of Poultry Science, University of Georgia, Athens, GA.,Institute of Bioinformatics, University of Georgia, Athens, GA
| | - Romdhane Rekaya
- Department of Animal and Dairy Science, University of Georgia, Athens, GA.,Institute of Bioinformatics, University of Georgia, Athens, GA.,Department of Statistics, University of Georgia, Athens, GA
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Hidalgo J, Cesarani A, Garcia A, Sumreddee P, Larios N, Mancin E, García JG, Núñez R, Ramírez R. Genetic Background and Inbreeding Depression in Romosinuano Cattle Breed in Mexico. Animals (Basel) 2021; 11:ani11020321. [PMID: 33525405 PMCID: PMC7911603 DOI: 10.3390/ani11020321] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 01/22/2021] [Accepted: 01/26/2021] [Indexed: 12/27/2022] Open
Abstract
Simple Summary The objective of this study was to evaluate the genetic background and inbreeding depression in the Mexican Romosinuano cattle using pedigree and genomic information. Inbreeding was estimated using pedigree (FPED) and genomic information based on the genomic relationship matrix (FGRM) and runs of homozygosity (FROH). Linkage disequilibrium (LD) was evaluated using the correlation between pairs of loci, and the effective population size (Ne) was calculated based on LD and pedigree information. The pedigree file consisted of 4875 animals; 71 had genotypes. LD decreased with the increase in distance between markers, and Ne estimated using genomic information decreased from 610 to 72 animals (from 109 to 1 generation ago), the Ne estimated using pedigree information was 86.44. The number of runs of homozygosity per animal ranged between 18 and 102 segments with an average of 55. The average inbreeding was 2.98 ± 2.81, 2.98 ± 4.01, and 7.28 ± 3.68% for FPED, FGRM, and FROH, respectively. A 1% increase in inbreeding decreased birth weight by 0.103 kg and weaning weight by 0.685 kg. A strategy such as optimum genetic contributions to maximize selection response and manage the long-term genetic variability and inbreeding could lead to sustainable breeding programs for the Mexican Romosinuano cattle breed. Abstract The ultimate goal of genetic selection is to improve genetic progress by increasing favorable alleles in the population. However, with selection, homozygosity, and potentially harmful recessive alleles can accumulate, deteriorating genetic variability and hampering continued genetic progress. Such potential adverse side effects of selection are of particular interest in populations with a small effective population size like the Romosinuano beef cattle in Mexico. The objective of this study was to evaluate the genetic background and inbreeding depression in Mexican Romosinuano cattle using pedigree and genomic information. Inbreeding was estimated using pedigree (FPED) and genomic information based on the genomic relationship matrix (FGRM) and runs of homozygosity (FROH) of different length classes. Linkage disequilibrium (LD) was evaluated using the correlation between pairs of loci, and the effective population size (Ne) was calculated based on LD and pedigree information. The pedigree file consisted of 4875 animals born between 1950 and 2019, of which 71 had genotypes. LD decreased with the increase in distance between markers, and Ne estimated using genomic information decreased from 610 to 72 animals (from 109 to 1 generation ago), the Ne estimated using pedigree information was 86.44. The reduction in effective population size implies the existence of genetic bottlenecks and the decline of genetic diversity due to the intensive use of few individuals as parents of the next generations. The number of runs of homozygosity per animal ranged between 18 and 102 segments with an average of 55. The shortest and longest segments were 1.0 and 36.0 Mb long, respectively, reflecting ancient and recent inbreeding. The average inbreeding was 2.98 ± 2.81, 2.98 ± 4.01, and 7.28 ± 3.68% for FPED, FGRM, and FROH, respectively. The correlation between FPED and FGRM was −0.25, and the correlations among FPED and FROH of different length classes were low (from 0.16 to 0.31). The correlations between FGRM and FROH of different length classes were moderate (from 0.44 to 0.58), indicating better agreement. A 1% increase in population inbreeding decreased birth weight by 0.103 kg and weaning weight by 0.685 kg. A strategy such as optimum genetic contributions to maximize selection response and manage the long-term genetic variability and inbreeding could lead to more sustainable breeding programs for the Mexican Romosinuano beef cattle breed.
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Affiliation(s)
- Jorge Hidalgo
- Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA; (J.H.); (A.C.); (A.G.)
| | - Alberto Cesarani
- Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA; (J.H.); (A.C.); (A.G.)
| | - Andre Garcia
- Department of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA; (J.H.); (A.C.); (A.G.)
| | - Pattarapol Sumreddee
- Department of Livestock Development, Bureau of Biotechnology in Livestock Production, Pathum Thani 12000, Thailand;
| | - Neon Larios
- Departamento de Zootecnia, Posgrado en Producción Animal, Universidad Autónoma Chapingo, Chapingo 56230, Mexico; (N.L.); (R.N.); (R.R.)
| | - Enrico Mancin
- Department of Agronomy, Food, Natural Resources, Animals and Environment-DAFNAE, University of Padova, Viale dell’Università 16, 35020 Legnaro, Italy;
| | - José Guadalupe García
- Departamento de Zootecnia, Posgrado en Producción Animal, Universidad Autónoma Chapingo, Chapingo 56230, Mexico; (N.L.); (R.N.); (R.R.)
- Correspondence:
| | - Rafael Núñez
- Departamento de Zootecnia, Posgrado en Producción Animal, Universidad Autónoma Chapingo, Chapingo 56230, Mexico; (N.L.); (R.N.); (R.R.)
| | - Rodolfo Ramírez
- Departamento de Zootecnia, Posgrado en Producción Animal, Universidad Autónoma Chapingo, Chapingo 56230, Mexico; (N.L.); (R.N.); (R.R.)
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Doekes HP, Bijma P, Veerkamp RF, de Jong G, Wientjes YCJ, Windig JJ. Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle. Genet Sel Evol 2020; 52:64. [PMID: 33115403 PMCID: PMC7594306 DOI: 10.1186/s12711-020-00583-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 10/09/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Inbreeding depression refers to the decrease in mean performance due to inbreeding. Inbreeding depression is caused by an increase in homozygosity and reduced expression of (on average) favourable dominance effects. Dominance effects and allele frequencies differ across loci, and consequently inbreeding depression is expected to differ along the genome. In this study, we investigated differences in inbreeding depression across the genome of Dutch Holstein Friesian cattle, by estimating dominance effects and effects of regions of homozygosity (ROH). METHODS Genotype (75 k) and phenotype data of 38,792 cows were used. For nine yield, fertility and udder health traits, GREML models were run to estimate genome-wide inbreeding depression and estimate additive, dominance and ROH variance components. For this purpose, we introduced a ROH-based relationship matrix. Additive, dominance and ROH effects per SNP were obtained through back-solving. In addition, a single SNP GWAS was performed to identify significant additive, dominance or ROH associations. RESULTS Genome-wide inbreeding depression was observed for all yield, fertility and udder health traits. For example, a 1% increase in genome-wide homozygosity was associated with a decrease in 305-d milk yield of approximately 99 kg. For yield traits only, including dominance and ROH effects in the GREML model resulted in a better fit (P < 0.05) than a model with only additive effects. After correcting for the effect of genome-wide homozygosity, dominance and ROH variance explained less than 1% of the phenotypic variance for all traits. Furthermore, dominance and ROH effects were distributed evenly along the genome. The most notable region with a favourable dominance effect for yield traits was on chromosome 5, but overall few regions with large favourable dominance effects and significant dominance associations were detected. No significant ROH-associations were found. CONCLUSIONS Inbreeding depression was distributed quite equally along the genome and was well captured by genome-wide homozygosity. These findings suggest that, based on 75 k SNP data, there is little benefit of accounting for region-specific inbreeding depression in selection schemes.
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Affiliation(s)
- Harmen P Doekes
- Animal Breeding and Genomics, Wageningen University and Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands. .,Centre for Genetic Resources the Netherlands, Wageningen University and Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.
| | - Piter Bijma
- Animal Breeding and Genomics, Wageningen University and Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
| | - Roel F Veerkamp
- Animal Breeding and Genomics, Wageningen University and Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
| | - Gerben de Jong
- Cooperation CRV, Wassenaarweg 20, 6843 NW, Arnhem, The Netherlands
| | - Yvonne C J Wientjes
- Animal Breeding and Genomics, Wageningen University and Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
| | - Jack J Windig
- Animal Breeding and Genomics, Wageningen University and Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.,Centre for Genetic Resources the Netherlands, Wageningen University and Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
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Makanjuola BO, Maltecca C, Miglior F, Schenkel FS, Baes CF. Effect of recent and ancient inbreeding on production and fertility traits in Canadian Holsteins. BMC Genomics 2020; 21:605. [PMID: 32873253 PMCID: PMC7466804 DOI: 10.1186/s12864-020-07031-w] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 08/27/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Phenotypic performances of livestock animals decline with increasing levels of inbreeding, however, the noticeable decline known as inbreeding depression, may not be due only to the total level of inbreeding, but rather could be distinctly associated with more recent or more ancient inbreeding. Therefore, splitting inbreeding into different age classes could help in assessing detrimental effects of different ages of inbreeding. Hence, this study sought to investigate the effect of recent and ancient inbreeding on production and fertility traits in Canadian Holstein cattle with both pedigree and genomic records. Furthermore, inbreeding coefficients were estimated using traditional pedigree measure (FPED) and genomic measures using segment based (FROH) and marker-by-marker (FGRM) based approaches. RESULTS Inbreeding depression was found for all production and most fertility traits, for example, every 1% increase in FPED, FROH and FGRM was observed to cause a - 44.71, - 40.48 and - 48.72 kg reduction in 305-day milk yield (MY), respectively. Similarly, an extension in first service to conception (FSTC) of 0.29, 0.24 and 0.31 day in heifers was found for every 1% increase in FPED, FROH and FGRM, respectively. Fertility traits that did not show significant depression were observed to move in an unfavorable direction over time. Splitting both pedigree and genomic inbreeding into age classes resulted in recent age classes showing more detrimental inbreeding effects, while more distant age classes caused more favorable effects. For example, a - 1.56 kg loss in 305-day protein yield (PY) was observed for every 1% increase in the most recent pedigree age class, whereas a 1.33 kg gain was found per 1% increase in the most distant pedigree age class. CONCLUSIONS Inbreeding depression was observed for production and fertility traits. In general, recent inbreeding had unfavorable effects, while ancestral inbreeding had favorable effects. Given that more negative effects were estimated from recent inbreeding when compared to ancient inbreeding suggests that recent inbreeding should be the primary focus of selection programs. Also, further work to identify specific recent homozygous regions negatively associated with phenotypic traits could be investigated.
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Affiliation(s)
- Bayode O Makanjuola
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.
| | - Christian Maltecca
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.,Department of Animal Science and Genetics Program, North Carolina State University, Raleigh, NC, 27607, USA
| | - Filippo Miglior
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Flavio S Schenkel
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Christine F Baes
- Centre for Genomic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.,Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
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Nani JP, Peñagaricano F. Whole-genome homozygosity mapping reveals candidate regions affecting bull fertility in US Holstein cattle. BMC Genomics 2020; 21:338. [PMID: 32366228 PMCID: PMC7199307 DOI: 10.1186/s12864-020-6758-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 04/27/2020] [Indexed: 01/10/2023] Open
Abstract
Background Achieving rapid genetic progress while maintaining adequate genetic diversity is one of the main challenges facing the dairy industry. The increase in inbreeding can be used to monitor the loss of genetic diversity. Inbreeding tends to increase the proportion of homozygous loci, some of which cause homozygosity of recessive alleles that results in reduced performance. This phenomenon is known as inbreeding depression and tends to be most prominent on fitness-related traits, such as male fertility. Traditionally, inbreeding has been monitored using pedigree information, or more recently, genomic data. Alternatively, it can be quantified using runs of homozygosity (ROH), i.e., contiguous lengths of homozygous genotypes observed in an individual’s chromosome. Results The objective of this study was to evaluate the association between ROH and sire conception rate. ROH were evaluated using 268 k genetic markers in 11,790 US Holstein bulls. Interestingly, either the sum, mean, or maximum length of ROH were negatively associated with bull fertility. The association analysis between ROH and sire fertility was performed comparing 300 high-fertility vs. 300 low-fertility bulls. Both the average and sum of ROH length were higher in the low-fertility group. The enrichment of ROH regions in bulls with low fertility was assessed using a Fisher’s exact test. Nine regions were significantly enriched in low-fertility compared to high-fertility bulls. Notably, these regions harbor genes that are closely related to sperm biology and male fertility, including genes exclusively or highly expressed in testis. Conclusions The results of this study can help not only to manage inbreeding in genomic selection programs by designing custom mating schemes, but also to better understand the mechanisms underlying male fertility in dairy cattle.
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Affiliation(s)
- Juan Pablo Nani
- Department of Animal Sciences, University of Florida, 2250 Shealy Drive, Gainesville, FL, 32611, USA.,Estación Experimental Agropecuaria Rafaela, Instituto Nacional de Tecnología Agropecuaria, 22-2300, Rafaela, SF, Argentina
| | - Francisco Peñagaricano
- Department of Animal Sciences, University of Florida, 2250 Shealy Drive, Gainesville, FL, 32611, USA. .,University of Florida Genetics Institute, University of Florida, Gainesville, FL, 32610, USA.
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Martikainen K, Koivula M, Uimari P. Identification of runs of homozygosity affecting female fertility and milk production traits in Finnish Ayrshire cattle. Sci Rep 2020; 10:3804. [PMID: 32123255 PMCID: PMC7052207 DOI: 10.1038/s41598-020-60830-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 02/17/2020] [Indexed: 11/09/2022] Open
Abstract
Inbreeding gives rise to continuous lengths of homozygous genotypes called runs of homozygosity (ROH) that occur when identical haplotypes are inherited from both parents. ROHs are enriched for deleterious recessive alleles and can therefore be linked to inbreeding depression, defined as decreased phenotypic performance of the animals. However, not all ROHs within a region are expected to have harmful effects on the trait of interest. We aimed to identify ROHs that unfavourably affect female fertility and milk production traits in the Finnish Ayrshire population. The estimated effect of ROHs with the highest statistical significance varied between parities from 9 to 17 days longer intervals from calving to first insemination, from 13 to 38 days longer intervals from first to last insemination and from 0.3 to 1.0 more insemination per conception. Similarly, for milk production traits ROHs were associated with a reduction of 208 kg for milk yield, 7 kg for protein yield and 16 kg for fat yield. We also found regions where ROHs displayed unfavourable effects across multiple traits. Our findings can be exploited for more efficient control of inbreeding depression, for example by minimizing the occurrence of unfavourable haplotypes as homozygous state in breeding programmes.
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Affiliation(s)
- K Martikainen
- Department of Agricultural Sciences, University of Helsinki, P.O. Box 28, FI-00014, Helsinki, Finland.
| | - M Koivula
- Natural Resources Institute Finland (Luke), Green Technology, FI-31600, Jokioinen, Finland
| | - P Uimari
- Department of Agricultural Sciences, University of Helsinki, P.O. Box 28, FI-00014, Helsinki, Finland
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Doekes HP, Veerkamp RF, Bijma P, de Jong G, Hiemstra SJ, Windig JJ. Inbreeding depression due to recent and ancient inbreeding in Dutch Holstein-Friesian dairy cattle. Genet Sel Evol 2019; 51:54. [PMID: 31558150 PMCID: PMC6764141 DOI: 10.1186/s12711-019-0497-z] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 09/19/2019] [Indexed: 02/01/2023] Open
Abstract
Background Inbreeding decreases animal performance (inbreeding depression), but not all inbreeding is expected to be equally harmful. Recent inbreeding is expected to be more harmful than ancient inbreeding, because selection decreases the frequency of deleterious alleles over time. Selection efficiency is increased by inbreeding, a process called purging. Our objective was to investigate effects of recent and ancient inbreeding on yield, fertility and udder health traits in Dutch Holstein–Friesian cows. Methods In total, 38,792 first-parity cows were included. Pedigree inbreeding (\documentclass[12pt]{minimal}
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\begin{document}$$F_{PED}$$\end{document}FPED) was computed and 75 k genotype data were used to compute genomic inbreeding, among others based on regions of homozygosity (ROH) in the genome (\documentclass[12pt]{minimal}
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\begin{document}$$F_{ROH}$$\end{document}FROH). Results Inbreeding depression was observed, e.g. a 1% increase in \documentclass[12pt]{minimal}
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\begin{document}$$F_{ROH}$$\end{document}FROH was associated with a 36.3 kg (SE = 2.4) decrease in 305-day milk yield, a 0.48 day (SE = 0.15) increase in calving interval and a 0.86 unit (SE = 0.28) increase in somatic cell score for day 150 through to 400. These effects equalled − 0.45, 0.12 and 0.05% of the trait means, respectively. When \documentclass[12pt]{minimal}
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\begin{document}$$F_{PED}$$\end{document}FPED was split into generation-based components, inbreeding on recent generations was more harmful than inbreeding on more distant generations for yield traits. When \documentclass[12pt]{minimal}
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\begin{document}$$F_{PED}$$\end{document}FPED was split into new and ancestral components, based on whether alleles were identical-by-descent for the first time or not, new inbreeding was more harmful than ancestral inbreeding, especially for yield traits. For example, a 1% increase in new inbreeding was associated with a 2.42 kg (SE = 0.41) decrease in 305-day fat yield, compared to a 0.03 kg (SE = 0.71) increase for ancestral inbreeding. There were no clear differences between effects of long ROH (recent inbreeding) and short ROH (ancient inbreeding). Conclusions Inbreeding depression was observed for yield, fertility and udder health traits. For yield traits and based on pedigree, inbreeding on recent generations was more harmful than inbreeding on distant generations and there was evidence of purging. Across all traits, long and short ROH contributed to inbreeding depression. In future work, inbreeding depression and purging should be assessed in more detail at the genomic level, using higher density information and genomic time series.
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Affiliation(s)
- Harmen P Doekes
- Wageningen University & Research, Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands. .,Wageningen University & Research, Centre for Genetic Resources the Netherlands, P.O. Box 16, 6700 AA, Wageningen, The Netherlands.
| | - Roel F Veerkamp
- Wageningen University & Research, Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
| | - Piter Bijma
- Wageningen University & Research, Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
| | - Gerben de Jong
- Cooperation CRV, Wassenaarweg 20, 6843 NW, Arnhem, The Netherlands
| | - Sipke J Hiemstra
- Wageningen University & Research, Centre for Genetic Resources the Netherlands, P.O. Box 16, 6700 AA, Wageningen, The Netherlands
| | - Jack J Windig
- Wageningen University & Research, Animal Breeding and Genomics, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.,Wageningen University & Research, Centre for Genetic Resources the Netherlands, P.O. Box 16, 6700 AA, Wageningen, The Netherlands
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