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Wang X, Li G, Jiang Y, Tang J, Fan Y, Ren J. Genomic insights into the conservation and population genetics of two Chinese native goat breeds. J Anim Sci 2022; 100:skac274. [PMID: 35998083 PMCID: PMC9585554 DOI: 10.1093/jas/skac274] [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: 10/14/2021] [Accepted: 08/20/2022] [Indexed: 11/14/2022] Open
Abstract
Chinese goats are an important group of goats worldwide. However, there are few studies on the conservation priority, genetic relationship, and potential gene flow between Chinese and global goat breeds. Here, we genotyped 239 goats from conservation populations of the Chinese Guangfeng and Ganxi breeds using the GoatSNP50 BeadChip. The conservation priority, population structure, selection signatures and introgression of these goats were analyzed in the context of 36 global goat breeds. First, we showed that Guangfeng and Ganxi goats had the largest effective population sizes across the global breeds 13 generations ago. Nevertheless, Ganxi goats have recently experienced a high degree of inbreeding, resulting in their conservation priority based on total gene and allelic diversities being lower than that of most other Chinese breeds (including Guangfeng goats). Population structure and admixture analyses showed that an average of 18% of Guangfeng genomic components were introgressed from Boer goats approximately 18-yr ago. Next, we reconstructed the subfamily structure of the core populations of Guangfeng and Ganxi goats, and proposed reasonable conservation strategies for inbreeding management. Moreover, a list of candidate genes under selection for fertility, immunity, growth, and meat quality were detected in Guangfeng and Ganxi goats. Finally, we identified some genes related to body development and reproduction, which were introgressed from Boer goats and may be beneficial for improving performance and productivity of Guangfeng goats. In conclusion, this study not only provides new insights into the conservation and utilization of Guangfeng and Ganxi goats but also enriches our understanding of artificial introgression from exotic goats into Chinese local goats.
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Affiliation(s)
- Xiaopeng Wang
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Guixin Li
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Yongchuang Jiang
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Jianhong Tang
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Laboratory Animal Engineering Research Center of Ganzhou, Gannan Medical University, Ganzhou 341000, China
| | - Yin Fan
- Department of Animal Science, Jiangxi Biotech Vocational College, Nanchang 330200, China
| | - Jun Ren
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
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2
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Li Y, Kaur S, Pembleton LW, Valipour-Kahrood H, Rosewarne GM, Daetwyler HD. Strategies of preserving genetic diversity while maximizing genetic response from implementing genomic selection in pulse breeding programs. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:1813-1828. [PMID: 35316351 PMCID: PMC9205836 DOI: 10.1007/s00122-022-04071-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 02/26/2022] [Indexed: 06/14/2023]
Abstract
KEY MESSAGE Genomic selection maximizes genetic gain by recycling parents to germplasm pool earlier and preserves genetic diversity by restricting the number of fixed alleles and the relationship in pulse breeding programs. Using a stochastic computer simulation, we investigated the benefit of optimization strategies in the context of genomic selection (GS) for pulse breeding programs. We simulated GS for moderately complex to highly complex traits such as disease resistance, grain weight and grain yield in multiple environments with a high level of genotype-by-environment interaction for grain yield. GS led to higher genetic gain per unit of time and higher genetic diversity loss than phenotypic selection by shortening the breeding cycle time. The genetic gain obtained from selecting the segregating parents early in the breeding cycle (at F1 or F2 stages) was substantially higher than selecting at later stages even though prediction accuracy was moderate. Increasing the number of F1 intercross (F1i) families and keeping the total number of progeny of F1i families constant, we observed a decrease in genetic gain and increase in genetic diversity, whereas increasing the number of progeny per F1i family while keeping a constant number of F1i families increased the rate of genetic gain and had higher genetic diversity loss per unit of time. Adding 50 F2 family phenotypes to the training population increased the accuracy of genomic breeding values (GEBVs) and genetic gain per year and decreased the rate of genetic diversity loss. Genetic diversity could be preserved by applying a strategy that restricted both the percentage of alleles fixed and the average relationship of the group of selected parents to preserve long-term genetic improvement in the pulse breeding program.
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Affiliation(s)
- Yongjun Li
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, 3083, Australia.
| | - Sukhjiwan Kaur
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, 3083, Australia
| | - Luke W Pembleton
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, 3083, Australia
| | | | - Garry M Rosewarne
- Agriculture Victoria, Grains Innovation Park, Horsham, VIC, 3400, Australia
| | - Hans D Daetwyler
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, VIC, 3083, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, 3083, Australia
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An Overview of the Use of Genotyping Techniques for Assessing Genetic Diversity in Local Farm Animal Breeds. Animals (Basel) 2021; 11:ani11072016. [PMID: 34359144 PMCID: PMC8300386 DOI: 10.3390/ani11072016] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 06/30/2021] [Accepted: 07/01/2021] [Indexed: 12/18/2022] Open
Abstract
Simple Summary The number of local farm animal breeds is declining worldwide. However, these breeds have different degrees of genetic diversity. Measuring genetic diversity is important for the development of conservation strategies and, therefore, various genomic analysis techniques are available. The aim of the present work was to shed light on the use of these techniques in diversity studies of local breeds. In summary, a total of 133 worldwide studies that examined genetic diversity in local cattle, sheep, goat, chicken and pig breeds were reviewed. The results show that over time, almost all available genomic techniques were used and various diversity parameters were calculated. Therefore, the present results provide a comprehensive overview of the application of these techniques in the field of local breeds. This can provide helpful insights into the advancement of the conservation of breeds with high genetic diversity. Abstract Globally, many local farm animal breeds are threatened with extinction. However, these breeds contribute to the high amount of genetic diversity required to combat unforeseen future challenges of livestock production systems. To assess genetic diversity, various genotyping techniques have been developed. Based on the respective genomic information, different parameters, e.g., heterozygosity, allele frequencies and inbreeding coefficient, can be measured in order to reveal genetic diversity between and within breeds. The aim of the present work was to shed light on the use of genotyping techniques in the field of local farm animal breeds. Therefore, a total of 133 studies across the world that examined genetic diversity in local cattle, sheep, goat, chicken and pig breeds were reviewed. The results show that diversity of cattle was most often investigated with microsatellite use as the main technique. Furthermore, a large variety of diversity parameters that were calculated with different programs were identified. For 15% of the included studies, the used genotypes are publicly available, and, in 6%, phenotypes were recorded. In conclusion, the present results provide a comprehensive overview of the application of genotyping techniques in the field of local breeds. This can provide helpful insights to advance the conservation of breeds.
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Kierkegaard LS, Groeneveld LF, Kettunen A, Berg P. The status and need for characterization of Nordic animal genetic resources. ACTA AGR SCAND A-AN 2020. [DOI: 10.1080/09064702.2020.1722216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
| | | | - Anne Kettunen
- Farm Animal Section, NordGen – The Nordic Genetic Resource Center, Ås, Norway
- Nofima AS, Ås, Norway
| | - Peer Berg
- Farm Animal Section, NordGen – The Nordic Genetic Resource Center, Ås, Norway
- Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway
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Paim TDP, Hay EHA, Wilson C, Thomas MG, Kuehn LA, Paiva SR, McManus C, Blackburn HD. Dynamics of genomic architecture during composite breed development in cattle. Anim Genet 2020; 51:224-234. [PMID: 31961956 PMCID: PMC7065137 DOI: 10.1111/age.12907] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 12/16/2019] [Accepted: 12/19/2019] [Indexed: 12/31/2022]
Abstract
Some livestock breeds face the challenge of reduced genetic variation, increased inbreeding depression owing to genetic drift and selection. Hybridization can reverse these processes and increase levels of productivity and adaptation to various environmental stressors. Samples from American Brangus were used to evaluate the indicine/taurine composition through nine generations (~45 years) after the hybridization process was completed. The purpose was to determine how hybridization alters allelic combinations of a breed over time when genetic factors such as selection and drift are operating. Furthermore, we explored genomic regions with deviations from the expected composition from the progenitor breeds and related these regions to traits under selection. The Brangus composition deviated from the theoretical expectation, defined by the breed association, of 62.5% taurine, showing taurine composition to be 70.4 ± 0.6%. Taurine and indicine proportion were not consistent across chromosomes. Furthermore, these non‐uniform areas were found to be associated with traits that were probably under selection such as intermuscular fat and average daily gain. Interestingly, the sex chromosomes were predominantly taurine, which could be due to the composite being formed particularly in the final cross that resulted in progeny designated as purebred Brangus. This work demonstrated the process of new breed formation on a genomic level. It suggests that factors like genetic drift, selection and complementarity shift the genetic architecture into a uniquely different population. These findings are important to better understand how hybridization and crossbreeding systems shape the genetic architecture of composite populations.
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Affiliation(s)
- T do P Paim
- Instituto Federal de Educação, Ciência e Tecnologia Goiano, Avenida Oeste n. 350, Iporá, 76.200-000, Brazil.,Universidade de Brasília, Asa Norte, Campus Darcy Ribeiro, ICC Sul, Brasília, 70.910-900, Brazil
| | - E H A Hay
- US Department of Agriculture, Fort Keogh Livestock and Range Research Laboratory, Agricultural Research Service, 243 Fort Keogh Road, Miles City, 59301, USA
| | - C Wilson
- US Department of Agriculture, National Laboratory for Genetic Resources Preservation, Agricultural Research Service, National Animal Germplasm Program, 1111 S Mason St., Fort Collins, 80521, USA
| | - M G Thomas
- Department of Animal Sciences, Colorado State University, 350 W. Pitkin St., Fort Collins, 80523-1171, USA
| | - L A Kuehn
- US Department of Agriculture, Agricultural Research Service, US Meat Animal Research Center, 844 Rd 313, Clay Center, 68933, USA
| | - S R Paiva
- Embrapa Recursos Genéticos e Biotecnologia, Parque Estação Biológica, PqEB, Av. W5 Norte (final) Caixa Postal 02372, Brasília, 70.770-917, Brazil
| | - C McManus
- Universidade de Brasília, Asa Norte, Campus Darcy Ribeiro, ICC Sul, Brasília, 70.910-900, Brazil
| | - H D Blackburn
- US Department of Agriculture, National Laboratory for Genetic Resources Preservation, Agricultural Research Service, National Animal Germplasm Program, 1111 S Mason St., Fort Collins, 80521, USA
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Stronen AV, Pertoldi C, Iacolina L, Kadarmideen HN, Kristensen TN. Genomic analyses suggest adaptive differentiation of northern European native cattle breeds. Evol Appl 2019; 12:1096-1113. [PMID: 31293626 PMCID: PMC6597895 DOI: 10.1111/eva.12783] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Revised: 02/05/2019] [Accepted: 02/13/2019] [Indexed: 12/12/2022] Open
Abstract
Native domestic breeds represent important cultural heritage and genetic diversity relevant for production traits, environmental adaptation and food security. However, risks associated with low effective population size, such as inbreeding and genetic drift, have elevated concerns over whether unique within-breed lineages should be kept separate or managed as one population. As a conservation genomic case study of the genetic diversity represented by native breeds, we examined native and commercial cattle (Bos taurus) breeds including the threatened Danish Jutland cattle. We examined population structure and genetic diversity within breeds and lineages genotyped across 770K single nucleotide polymorphism loci to determine (a) the amount and distribution of genetic diversity in native breeds, and (b) the role of genetic drift versus selection. We further investigated the presence of outlier loci to detect (c) signatures of environmental selection in native versus commercial breeds, and (d) native breed adaptation to various landscapes. Moreover, we included older cryopreserved samples to determine (e) whether cryopreservation allows (re)introduction of original genetic diversity. We investigated a final set of 195 individuals and 677K autosomal loci for genetic diversity within and among breeds, examined population structure with principal component analyses and a maximum-likelihood approach and searched for outlier loci suggesting artificial or natural selection. Our findings demonstrate the potential of genomics for identifying the uniqueness of native domestic breeds, and for maintaining their genetic diversity and long-term evolutionary potential through conservation plans balancing inbreeding with carefully designed outcrossing. One promising opportunity is the use of cryopreserved samples, which can provide important genetic diversity for populations with few individuals, while helping to preserve their traditional genetic characteristics. Outlier tests for native versus commercial breeds identified genes associated with climate adaptation, immunity and metabolism, and native breeds may carry genetic variation important for animal health and robustness in a changing climate.
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Affiliation(s)
- Astrid V. Stronen
- Section of Biology and Environmental Science, Department of Chemistry and BioscienceAalborg UniversityAalborgDenmark
- Department of Biology, Biotechnical FacultyUniversity of LjubljanaLjubljanaSlovenia
- Department of Biotechnology and Life SciencesInsubria UniversityVareseItaly
| | - Cino Pertoldi
- Section of Biology and Environmental Science, Department of Chemistry and BioscienceAalborg UniversityAalborgDenmark
- Aalborg ZooAalborgDenmark
| | - Laura Iacolina
- Section of Biology and Environmental Science, Department of Chemistry and BioscienceAalborg UniversityAalborgDenmark
- Aalborg ZooAalborgDenmark
| | - Haja N. Kadarmideen
- Quantitative Genomics, Bioinformatics and Computational Biology Group, Department of Applied Mathematics and Computer ScienceTechnical University of DenmarkKongens LyngbyDenmark
| | - Torsten N. Kristensen
- Section of Biology and Environmental Science, Department of Chemistry and BioscienceAalborg UniversityAalborgDenmark
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Browett S, McHugo G, Richardson IW, Magee DA, Park SDE, Fahey AG, Kearney JF, Correia CN, Randhawa IAS, MacHugh DE. Genomic Characterisation of the Indigenous Irish Kerry Cattle Breed. Front Genet 2018. [PMID: 29520297 PMCID: PMC5827531 DOI: 10.3389/fgene.2018.00051] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Kerry cattle are an endangered landrace heritage breed of cultural importance to Ireland. In the present study we have used genome-wide SNP array data to evaluate genomic diversity within the Kerry population and between Kerry cattle and other European breeds. Patterns of genetic differentiation and gene flow among breeds using phylogenetic trees with ancestry graphs highlighted historical gene flow from the British Shorthorn breed into the ancestral population of modern Kerry cattle. Principal component analysis (PCA) and genetic clustering emphasised the genetic distinctiveness of Kerry cattle relative to comparator British and European cattle breeds. Modelling of genetic effective population size (Ne) revealed a demographic trend of diminishing Ne over time and that recent estimated Ne values for the Kerry breed may be less than the threshold for sustainable genetic conservation. In addition, analysis of genome-wide autozygosity (FROH) showed that genomic inbreeding has increased significantly during the 20 years between 1992 and 2012. Finally, signatures of selection revealed genomic regions subject to natural and artificial selection as Kerry cattle adapted to the climate, physical geography and agro-ecology of southwest Ireland.
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Affiliation(s)
- Sam Browett
- Ecosystems and Environment Research Centre, School of Environment and Life Sciences, University of Salford, Salford, United Kingdom
| | - Gillian McHugo
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | | | - David A Magee
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | | | - Alan G Fahey
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | | | - Carolina N Correia
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Imtiaz A S Randhawa
- Sydney School of Veterinary Science, The University of Sydney, Camden, NSW, Australia
| | - David E MacHugh
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
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Blant A, Kwong M, Szpiech ZA, Pemberton TJ. Weighted likelihood inference of genomic autozygosity patterns in dense genotype data. BMC Genomics 2017; 18:928. [PMID: 29191164 PMCID: PMC5709839 DOI: 10.1186/s12864-017-4312-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 11/16/2017] [Indexed: 12/14/2022] Open
Abstract
Background Genomic regions of autozygosity (ROA) arise when an individual is homozygous for haplotypes inherited identical-by-descent from ancestors shared by both parents. Over the past decade, they have gained importance for understanding evolutionary history and the genetic basis of complex diseases and traits. However, methods to infer ROA in dense genotype data have not evolved in step with advances in genome technology that now enable us to rapidly create large high-resolution genotype datasets, limiting our ability to investigate their constituent ROA patterns. Methods We report a weighted likelihood approach for inferring ROA in dense genotype data that accounts for autocorrelation among genotyped positions and the possibilities of unobserved mutation and recombination events, and variability in the confidence of individual genotype calls in whole genome sequence (WGS) data. Results Forward-time genetic simulations under two demographic scenarios that reflect situations where inbreeding and its effect on fitness are of interest suggest this approach is better powered than existing state-of-the-art methods to infer ROA at marker densities consistent with WGS and popular microarray genotyping platforms used in human and non-human studies. Moreover, we present evidence that suggests this approach is able to distinguish ROA arising via consanguinity from ROA arising via endogamy. Using subsets of The 1000 Genomes Project Phase 3 data we show that, relative to WGS, intermediate and long ROA are captured robustly with popular microarray platforms, while detection of short ROA is more variable and improves with marker density. Worldwide ROA patterns inferred from WGS data are found to accord well with those previously reported on the basis of microarray genotype data. Finally, we highlight the potential of this approach to detect genomic regions enriched for autozygosity signals in one group relative to another based upon comparisons of per-individual autozygosity likelihoods instead of inferred ROA frequencies. Conclusions This weighted likelihood ROA inference approach can assist population- and disease-geneticists working with a wide variety of data types and species to explore ROA patterns and to identify genomic regions with differential ROA signals among groups, thereby advancing our understanding of evolutionary history and the role of recessive variation in phenotypic variation and disease. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-4312-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alexandra Blant
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada
| | - Michelle Kwong
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada
| | - Zachary A Szpiech
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
| | - Trevor J Pemberton
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada.
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9
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Poulsen NA, Rosengaard AK, Szekeres BD, Gregersen VR, Jensen HB, Larsen LB. Protein heterogeneity of bovine β-casein in Danish dairy breeds and association of rare β-casein F with milk coagulation properties. ACTA AGR SCAND A-AN 2017. [DOI: 10.1080/09064702.2017.1342858] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- N. A. Poulsen
- Department of Food Science, Aarhus University, Tjele, Denmark
| | | | - B. D. Szekeres
- Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
| | - V. R. Gregersen
- Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark
| | - H. B. Jensen
- Department of Food Science, Aarhus University, Tjele, Denmark
| | - L. B. Larsen
- Department of Food Science, Aarhus University, Tjele, Denmark
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10
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Analysis of the relationship between insulin-like growth factor 1 receptor gene polymorphisms in Montbeliarde cows and the birth weight of their calves. ACTA VET BRNO 2016. [DOI: 10.2754/avb201685010041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Montbeliarde is a cattle breed of combined milk and meat performance type, which unlike the other breeds is characterized by several positive features, such as better health, high resistance to mastitis, calving ease and good weight gain. The study involved a population of 163 Montbeliarde cows. In view of the substantial role of the IGF-I/IGF-IR system in growth and development, the aim of this study was to show an association between insulin-like growth factor 1 receptor gene polymorphisms in Montbeliarde cows and birth weight of their offspring. Three single nucleotide polymorphisms within the IGF1R gene were analyzed using PCR-RFLP or ACRS-PCR methods. The frequencies of the most common genotypes were as follows: CC 0.90 (IGF1R/TaiI), GG 0.77 (IGF1R/MspI) and GG 0.58 (IGF1R/TaqI). A total of 14 combinations was compared, from which due to the low frequency (n < 10) only 4 were used for calculations. In the analysed herd, the mean body weight of calves regardless of the calving order was always the highest in animals with maternal CC / GG / AA combined genotype. This observation was confirmed statistically both for the individual genotypes as well as in the case of cows carrying such a combination at the same time (P < 0.01). Therefore, IGF1R may be considered as a promising candidate gene for the identification of molecular markers predicting meat quality in cattle.
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Genomic inbreeding estimation in small populations: evaluation of runs of homozygosity in three local dairy cattle breeds. Animal 2016; 10:746-54. [PMID: 27076405 DOI: 10.1017/s1751731115002943] [Citation(s) in RCA: 98] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
In the local breeds with small population size, one of the most important problems is the increase of inbreeding coefficient (F). High levels of inbreeding lead to reduced genetic diversity and inbreeding depression. The availability of high-density single nucleotide polymorphism (SNP) arrays has facilitated the quantification of F by genomic markers in farm animals. Runs of homozygosity (ROH) are contiguous lengths of homozygous genotypes and represent an estimate of the degree of autozygosity at genome-wide level. The current study aims to quantify the genomic F derived from ROH (F ROH) in three local dairy cattle breeds. F ROH values were compared with F estimated from the genomic relationship matrix (F GRM), based on the difference between observed v. expected number of homozygous genotypes (F HOM) and the genomic homozygosity of individual i (F MOL i ). The molecular coancestry coefficient (f MOL ij ) between individuals i and j was also estimated. Individuals of Cinisara (71), Modicana (72) and Reggiana (168) were genotyped with the 50K v2 Illumina BeadChip. Genotypes from 96 animals of Italian Holstein cattle breed were also included in the analysis. We used a definition of ROH as tracts of homozygous genotypes that were >4 Mb. Among breeds, 3661 ROH were identified. Modicana showed the highest mean number of ROH per individual and the highest value of F ROH, whereas Reggiana showed the lowest ones. Differences among breeds existed for the ROH lengths. The individuals of Italian Holstein showed high number of short ROH segments, related to ancient consanguinity. Similar results showed the Reggiana with some extreme animals with segments covering 400 Mb and more of genome. Modicana and Cinisara showed similar results between them with the total length of ROH characterized by the presence of large segments. High correlation was found between F HOM and F ROH ranged from 0.83 in Reggiana to 0.95 in Cinisara and Modicana. The correlations among F ROH and other estimated F coefficients were generally lower ranged from 0.45 (F MOL i -F ROH) in Cinisara to 0.17 (F GRM-F ROH) in Modicana. On the basis of our results, recent inbreeding was observed in local breeds, considering that 16 Mb segments are expected to present inbreeding up to three generations ago. Our results showed the necessity of implementing conservation programs to control the rise of inbreeding and coancestry in the three Italian local dairy cattle breeds.
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12
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Williams JL, Hall SJ, Del Corvo M, Ballingall KT, Colli L, Ajmone Marsan P, Biscarini F. Inbreeding and purging at the genomic Level: the Chillingham cattle reveal extensive, non-random SNP heterozygosity. Anim Genet 2015; 47:19-27. [DOI: 10.1111/age.12376] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2015] [Indexed: 11/29/2022]
Affiliation(s)
- J. L. Williams
- PTP Science Park; Via Einstein - Loc. Cascina Codazza 26900 Lodi Italy
| | - S. J.G. Hall
- School of Life Sciences; University of Lincoln; Brayford Pool Lincoln LN6 7TS UK
| | - M. Del Corvo
- PTP Science Park; Via Einstein - Loc. Cascina Codazza 26900 Lodi Italy
| | - K. T. Ballingall
- Moredun Research Institute; Pentlands Science Park; Bush Loan Penicuik Midlothian EH26 0PZ UK
| | - L. Colli
- Università Cattolica del Sacro Cuore; via Emilia Parmense 84 29122 Piacenza Italy
| | - P. Ajmone Marsan
- Università Cattolica del Sacro Cuore; via Emilia Parmense 84 29122 Piacenza Italy
| | - F. Biscarini
- PTP Science Park; Via Einstein - Loc. Cascina Codazza 26900 Lodi Italy
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Karimi K, Esmailizadeh Koshkoiyeh A, Asadi Fozi M, Porto-Neto LR, Gondro C. Prioritization for conservation of Iranian native cattle breeds based on genome-wide SNP data. CONSERV GENET 2015. [DOI: 10.1007/s10592-015-0762-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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14
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Kristensen TN, Hoffmann AA, Pertoldi C, Stronen AV. What can livestock breeders learn from conservation genetics and vice versa? Front Genet 2015; 6:38. [PMID: 25713584 PMCID: PMC4322732 DOI: 10.3389/fgene.2015.00038] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Accepted: 01/26/2015] [Indexed: 11/17/2022] Open
Abstract
The management of livestock breeds and threatened natural population share common challenges, including small effective population sizes, high risk of inbreeding, and the potential benefits and costs associated with mixing disparate gene pools. Here, we consider what has been learnt about these issues, the ways in which the knowledge gained from one area might be applied to the other, and the potential of genomics to provide new insights. Although there are key differences stemming from the importance of artificial versus natural selection and the decreased level of environmental heterogeneity experienced by many livestock populations, we suspect that information from genetic rescue in natural populations could be usefully applied to livestock. This includes an increased emphasis on maintaining substantial population sizes at the expense of genetic uniqueness in ensuring future adaptability, and on emphasizing the way that environmental changes can influence the relative fitness of deleterious alleles and genotypes in small populations. We also suspect that information gained from cross-breeding and the maintenance of unique breeds will be increasingly important for the preservation of genetic variation in small natural populations. In particular, selected genes identified in domestic populations provide genetic markers for exploring adaptive evolution in threatened natural populations. Genomic technologies in the two disciplines will be important in the future in realizing genetic gains in livestock and maximizing adaptive capacity in wildlife, and particularly in understanding how parts of the genome may respond differently when exposed to population processes and selection.
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Affiliation(s)
- Torsten N. Kristensen
- Section of Biology and Environmental Science, Department of Chemistry and Bioscience, Aalborg UniversityAalborg, Denmark
| | - Ary A. Hoffmann
- Department of Zoology and Department of Genetics, Bio21 Institute, The University of MelbourneMelbourne, VIC, Australia
| | - Cino Pertoldi
- Section of Biology and Environmental Science, Department of Chemistry and Bioscience, Aalborg UniversityAalborg, Denmark
- Aalborg ZooAalborg, Denmark
| | - Astrid V. Stronen
- Section of Biology and Environmental Science, Department of Chemistry and Bioscience, Aalborg UniversityAalborg, Denmark
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