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Igoshin AV, Mishakova TM, Aitnazarov RB, Ilina AV, Larkin DM, Yudin NS. Association of three single nucleotide polymorphisms in the LPIN1 gene with milk production traits in cows of the Yaroslavl breed. Vavilovskii Zhurnal Genet Selektsii 2024; 28:117-125. [PMID: 38465251 PMCID: PMC10917680 DOI: 10.18699/vjgb-24-14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/15/2024] [Accepted: 01/15/2024] [Indexed: 03/12/2024] Open
Abstract
Lipin-1 is a member of the evolutionarily conserved family of proteins and is expressed predominantly in adipose tissue and skeletal muscle. On the one hand, lipin-1 is an enzyme that catalyzes the dephosphorylation of phosphatidic acid to diacylglycerol (DAG) and thus participates in the metabolic pathways of biosynthesis of storage lipids in the cell, membrane phospholipids, and intracellular signaling molecules. On the other hand, lipin-1 is able to be transported from the cytoplasm to the nucleus and is a coactivator of lipid metabolism gene transcription. It was shown, using the analysis of single nucleotide polymorphism (SNP) associations, that the lipin-1 coding gene (LPIN1) is a promising candidate gene for milk production traits in Holstein and Brown Swiss cows. However, it is unclear how much of its effect depends on the breed. The Yaroslavl dairy cattle breed was created in the 18-19 centuries in Russia by breeding northern Great Russian cattle, which were short and poor productive, but well adapted to local climatic conditions and bad food base. It was shown by whole genome genotyping and sequencing that the Yaroslavl breed has unique genetics compared to Russian and other cattle breeds. The aim of the study was to assess the frequency of alleles and genotypes of three SNPs in the LPIN1 gene and to study the association of these SNPs with milk production traits in Yaroslavl cows. Blood samples from 142 cows of the Yaroslavl breed were obtained from two farms in the Yaroslavl region. Genotyping of SNPs was carried out by polymerase chain reaction-restriction fragment length polymorphism method. Associations of SNPs with 305-day milk yield, fat yield, fat percentages, protein yield, and protein percentages were studied from the first to the fourth lactation. Statistical tests were carried out using a mixed linear model, taking into account the relationship between individuals. We identified three SNPs - rs110871255, rs207681322 and rs109039955 with a frequency of a rare allele of 0.042-0.261 in Yaroslavl cows. SNP rs110871255 was associated with fat yield during the third and fourth lactations. SNP rs207681322 was associated with milk yield for the second, third and fourth lactations, as well as protein yield for the third lactation. Thus, we identified significant associations of SNPs rs207681322 and rs110871255 in the LPIN1 gene with a number of milk production traits during several lactations in Yaroslavl cows.
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Affiliation(s)
- A V Igoshin
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - T M Mishakova
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - R B Aitnazarov
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A V Ilina
- Federal Williams Research Center for Forage Production and Agroecology, Scientific Research Institute of Livestock Breeding and Forage Production, Yaroslavl Region, Russia
| | - D M Larkin
- Royal Veterinary College, University of London, London, United Kingdom
| | - N S Yudin
- Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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Radhika G, Aravindakshan TV, Anilkumar K, Manoj M, Thomas S. Genetic diversity analysis of cattle genetic groups of Kerala state using microsatellite data. Anim Biotechnol 2023; 34:1154-1162. [PMID: 34955081 DOI: 10.1080/10495398.2021.2014857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Cattle belonging to seven different genetic groups in Kerala state, India were chosen for the study to find out the genetic diversity between the groups, which would aid in their sustainable improvement and conservation of native cattle. They included the native groups namely, Vechur, Kasaragod, Vadakara dwarf and Vilwadri, along with three different grades of crossbred cattle, based on milk production. Genomic DNA was isolated from 20 to 30 unrelated animals of each group and a panel of 25 microsatellite markers as suggested by FAO-ISAG, were amplified by multiplex PCR. The PCR amplicons were genotyped and the allelic data analyzed using suitable Bioinformatics softwares. The present study showed that the observed number of alleles was much more than the expected, in all populations. The mean PIC value obtained for the present study was 0.8912 and increased number of private alleles were observed, especially in Vilwadri and Kasaragod groups. Negative value of FIS (-0.055) indicated that the level of inbreeding was less. The FST value was 0.1442 indicating that the populations showed good genetic differentiation. The results of Structure analysis revealed admixture only in Vadakara population. The results obtained from the present study showed that Vilwadri and Kasaragod cattle showed distinct differences from other groups.
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Affiliation(s)
- G Radhika
- College of Veterinary and Animal Sciences, KVASU, Pookode, Wayanad, India
| | - T V Aravindakshan
- Centre for Advanced Studies in Animal Genetics and Breeding, Mannuthy, KVASU, Wayanad, India
| | - K Anilkumar
- College of Veterinary and Animal Sciences, Mannuthy, KVASU, Pookode, Wayanad, India
| | - M Manoj
- College of Veterinary and Animal Sciences, Mannuthy, KVASU, Pookode, Wayanad, India
| | - Stephy Thomas
- Centre for Advanced Studies in Animal Genetics and Breeding, Mannuthy, KVASU, Wayanad, India
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Hlokoe VR, Mokoena K, Tyasi TL. Using multivariate adaptive regression splines and classification and regression tree data mining algorithms to predict body weight of Nguni cows. Journal of Applied Animal Research 2022. [DOI: 10.1080/09712119.2022.2110498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Affiliation(s)
- Victoria Rankotsane Hlokoe
- Department of Agricultural Economics and Animal Production, University of Limpopo, Sovenga, Limpopo, South Africa
| | - Kwena Mokoena
- Department of Agricultural Economics and Animal Production, University of Limpopo, Sovenga, Limpopo, South Africa
| | - Thobela Louis Tyasi
- Department of Agricultural Economics and Animal Production, University of Limpopo, Sovenga, Limpopo, South Africa
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Lashmar SF, Visser C, Okpeku M, Muchadeyi FC, Mapholi NO, van Marle-Köster E. A within- and across-country assessment of the genomic diversity and autozygosity of South African and eSwatini Nguni cattle. Trop Anim Health Prod 2022; 54:365. [DOI: 10.1007/s11250-022-03373-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
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Wang H, Wang Q, Tan X, Wang J, Zhang J, Zheng M, Zhao G, Wen J. Estimation of genetic variability and identification of regions under selection based on runs of homozygosity in Beijing-You Chickens. Poult Sci 2022; 102:102342. [PMID: 36470032 PMCID: PMC9719870 DOI: 10.1016/j.psj.2022.102342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
The genetic composition of populations is the result of a long-term process of selection and adaptation to specific environments and ecosystems. Runs of homozygosity (ROHs) are homozygous segments of the genome where the 2 haplotypes inherited from the parents are identical. The detection of ROH can be used to describe the genetic variability and quantify the level of inbreeding in an individual. Here, we investigated the occurrence and distribution of ROHs in 40 Beijing-You Chickens from the random breeding population (BJY_C) and 40 Beijing-You Chickens from the intramuscular fat (IMF) selection population (BJY_S). Principal component analysis (PCA) and maximum likelihood (ML) analyses showed that BJY_C was completely separated from the BJY_S. The nucleotide diversity of BJY_C was higher than that of BJY_S, and the decay rate of LD of BJY_C was faster. The ROHs were identified for a total of 7,101 in BJY_C and 9,273 in BJY_S, respectively. The ROH-based inbreeding estimate (FROH) of BJY_C was 0.079, which was significantly lower than that of BJY_S (FROH = 0.114). The results were the same as the estimates of the inbreeding coefficients calculated based on homozygosity (FHOM), the correlation between uniting gametes (FUNI), and the genomic relationship matrix (FGRM). Additionally, the distribution and number of ROH islands in chromosomes of BJY_C and BJY_S were significantly different. The ROH islands of BJY_S that included genes associated with lipid metabolism and fat deposition, such as CIDEA and S1PR1, were absent in BJY_C. However, GPR161 was detected in both populations, which is a candidate gene for the formation of the unique five-finger trait in Beijing-You chickens. Our findings contributed to the understanding of the genetic diversity of random or artificially selected populations, and allowed the accurate monitoring of population inbreeding using genomic information, as well as the detection of genomic regions that affect traits under selection.
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Affiliation(s)
- Hailong Wang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Qiao Wang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Xiaodong Tan
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Jie Wang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Jin Zhang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Maiqing Zheng
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Guiping Zhao
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Jie Wen
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China.
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King F, Visser C, Banga C. Genetic characterization of Mozambican Nguni cattle and their relationship with indigenous populations of South Africa. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.105044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Kooverjee BB, Soma P, Van Der Nest MA, Scholtz MM, Neser FWC. Selection Signatures in South African Nguni and Bonsmara Cattle Populations Reveal Genes Relating to Environmental Adaptation. Front Genet 2022; 13:909012. [PMID: 35783284 PMCID: PMC9247466 DOI: 10.3389/fgene.2022.909012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 05/17/2022] [Indexed: 11/30/2022] Open
Abstract
Climate change is a major influencing factor in beef production. The greenhouse gases produced from livestock production systems contribute to the overall greenhouse gas emissions. The aim of this study was to identify selection signatures within and between Nguni and Bonsmara cattle in relation to production and adaptation. For this purpose, genomic 150 K single nucleotide polymorphism data from Nguni (n = 231) and Bonsmara (n = 252) cattle in South Africa were used. Extended haplotype homozygosity (EHH) based analysis was executed within each population using integrated haplotype score (iHS). The R package rehh was used for detecting selection signatures across the two populations with cross population EHH (XP-EHH). Total of 121 regions of selection signatures were detected (p < 0.0001) in the Bonsmara and Nguni populations. Several genes relating to DNA methylation, heat stress, feed efficiency and nitrogen metabolism were detected within and between each population. These regions also included QTLs associated with residual feed intake, residual gain, carcass weight, stature and body weight in the Bonsmara, while QTLs associated with conception rate, shear force, tenderness score, juiciness, temperament, heat tolerance, feed efficiency and age at puberty were identified in Nguni. Based on the results of the study it is recommended that the Nguni and Bonsmara be utilized in crossbreeding programs as they have beneficial traits that may allow them to perform better in the presence of climate change. Results of this study coincide with Nguni and Bonsmara breed characteristics and performance, and furthermore support informative crossbreeding programs to enhance livestock productivity in South Africa.
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Affiliation(s)
- Bhaveni B. Kooverjee
- Department of Animal Breeding and Genetics, Animal Production, Agricultural Research Council, Pretoria, South Africa
- Department of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South Africa
- *Correspondence: Bhaveni B. Kooverjee, ; Pranisha Soma,
| | - Pranisha Soma
- Department of Animal Breeding and Genetics, Animal Production, Agricultural Research Council, Pretoria, South Africa
- *Correspondence: Bhaveni B. Kooverjee, ; Pranisha Soma,
| | | | - Michiel M. Scholtz
- Department of Animal Breeding and Genetics, Animal Production, Agricultural Research Council, Pretoria, South Africa
- Department of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South Africa
| | - Frederick W. C. Neser
- Department of Animal, Wildlife and Grassland Sciences, University of the Free State, Bloemfontein, South Africa
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Bakae T, Monau PI, Nsoso SJ, Kgwatalala PM. Assessment of genetic diversity and relationship of the two Sanga type cattle of Botswana based on microsatellite markers. Trop Anim Health Prod 2022; 54:210. [PMID: 35687144 DOI: 10.1007/s11250-022-03212-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 06/01/2022] [Indexed: 10/18/2022]
Abstract
The study was performed to evaluate genetic variation on two Sanga type cattle found in Botswana: Tswana and Tuli using twelve microsatellite markers. All amplified loci were polymorphic with 75 and 77 alleles genotyped in the Tswana and Tuli populations, respectively. The total number of alleles per locus ranged from 2 (BM1818) to 10 (TGLA227) with total mean of 6.25 for Tswana and 6.43 for Tuli population. Almost all the markers showed high polymorphic information content (PIC) apart from BM1818 (0.375) and INRA23 (0.393) which were moderately informative in Tswana population. Most of the markers were in Hardy-Weinberg equilibrium except for CSSRM60 and CSSM66 loci in Tswana population and ETH10, ETH225 and CSSM66 loci in Tuli population. A total of 103 unique alleles were genotyped across the two breeds with 49-shared, and 26 and 28 were unique to Tswana and Tuli populations, respectively. The expected heterozygosity (He) values were higher than the observed heterozygosity (Ho) in both populations: Tswana (He = 0.7895 ± 0.033 vs Ho = 0.631 ± 0.091) and Tuli (He = 0.8123 ± 0.033 vs Ho = 0.556 ± 0.021). The inbreeding coefficient was 0.200 ± 0.002 and 0.332 ± 0.001 in Tswana and Tuli populations, respectively. Analysis of molecular variance revealed 6.8% of the total genetic variation corresponding to differences between the two breeds and 93.2% within populations. The genetic identity between the two breeds was 56% and there were similar levels of multilocus heterozygosity and allelic diversity in the two breeds. The use of Tswana and Tuli breeds in a crossbreeding programme is likely to result in minimal heterosis and therefore not recommended.
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Basson A, Strydom PE, van Marle-köster E, Webb EC, Frylinck L. Sustained Effects of Muscle Calpain System Genotypes on Tenderness Phenotypes of South African Beef Bulls during Ageing up to 20 Days. Animals (Basel) 2022; 12:686. [PMID: 35327083 PMCID: PMC8944438 DOI: 10.3390/ani12060686] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/25/2022] [Accepted: 02/02/2022] [Indexed: 02/05/2023] Open
Abstract
Simple Summary When searching for genetic markers for the selection of more tender beef, it is important to maintain minimal environmental variation from pre-slaughter, right through to the ageing process, to ensure the accuracy of the obtained phenotypes. This is because beef quality traits have a large environmental component that can greatly alter the characteristics of the meat, which would not reflect a true genetic effect. We propose that variable ageing times are especially important in determining whether markers are associated with tenderization or not. Our analyses included candidate genes for the protein degrading enzyme system for calpains, because they contribute the most to tenderization. We were able to validate these markers in South African beef cattle, where they could be useful for selection. The timing of the collection of tenderness data was critical, as only a few (6/134) genetic markers sustained their association with tenderization over ageing to 20 days. A larger tenderization effect earlier in ageing, as shown here for the capn1_187 and capn1_4751 markers, would decrease the length of ageing. This would not only increase profits, but also decrease the energy needed during the storage and refrigeration of aged beef, decreasing the carbon footprint of beef production. Abstract The most important factor that determines beef tenderness is its proteolytic activity, and the balance between calpain-1 protease activity and calpastatin inhibition is especially important, while contributions can also arise from calpain-2 and, possibly, calpain-3. The meat ageing process itself affects these processes. To determine whether genotypes in the calpain–calpastatin system can enhance tenderness through a 20-day ageing period, South African purebred beef bulls (n = 166) were genotyped using the Illumina BovineHD SNP BeadChip through a gene-based association analysis targeting the cast, capn3, capn2 and capn1 genes. The Warner–Bratzler shear force (WBSF) and myofibril fragment length (MFL) of Longissimus thoracis et lumborum (LTL) steaks were evaluated between d 3 and d 20 of ageing, with protease enzyme activity in the first 20 h post-mortem. Although several of the 134 SNPs are associated with tenderness, only seven SNP in the cast, capn2 and capn1 genes sustained genetic associations, additive to the ageing-associated increases in tenderness for at least three of the four ageing periods. While most genomic associations were relatively stable over time, some genotypes within the SNP responded differently to ageing, resulting in altered genomic effects over time. The level of ageing at which genomic associations are performed is an important factor that determines whether SNPs affect tenderness phenotypes.
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van Marle-Köster E, Lashmar SF, Retief A, Visser C. Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations. Front Genet 2021; 12:714194. [PMID: 34777459 PMCID: PMC8581043 DOI: 10.3389/fgene.2021.714194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 10/11/2021] [Indexed: 11/18/2022] Open
Abstract
Local cattle and sheep populations are important for animal production and food security in South Africa. These genetic resources are well adapted to the diverse climatic conditions and hold potential to be utilized in production systems subjected to climate change. The local beef breeds are well integrated into commercial livestock production systems with access to performance recording and genetic evaluations, while local sheep breeds are mainly utilised in smallholder and communal systems. The GeneSeek® Genomic Profiler™ Bovine 150 K SNP genotyping array was used to evaluate the diversity and inbreeding status of four indigenous (Boran, Drakensberger, Nguni, Tuli), two composite (Bonsmara and Beefmaster) and two exotic (SA Hereford and Charolais) beef breeds. The Illumina® Ovine 50 K SNP BeadChip was used to investigate five indigenous (Black Head Persian, Damara, Fat tail, Namaqua Afrikaner, Pedi) and three commercial (Dorper, Dohne Merino and SA Merino) populations. Although ascertainment bias was indicated by the low MAF (the autosome-wide proportion of SNPs with MAF< 0.05 ranged from 6.18 to 9.97% for cattle, and 7.59–13.81% for sheep), moderate genomic diversity was observed (mean Ho ranged from 0.296 to 0.403 for cattle, and 0.327 to 0.367 for sheep). Slightly higher levels of ROH-based inbreeding were calculated for cattle (FROH range: 0.018–0.104), than for sheep populations (FROH range: 0.002–0.031). The abundance of short ROH fragments (mean proportion of <4 Mb fragments: 0.405 for cattle, and 0.794 for sheep) indicated ancient inbreeding in both species. The eight cattle populations were categorized into indicine, taurine or Sanga subspecies based on principal component, model-based clustering and phylogenetic analyses, with high levels of admixture observed within the Drakensberger, Nguni and Tuli breeds. Within the sheep populations, a clear distinction could be seen between the dual-purpose breeds, the meat breed and the indigenous breeds. Despite directional selection practiced in the cattle breeds, genomic diversity was moderate with low inbreeding. The non-commercialized, indigenous sheep populations are more vulnerable with small effective populations. These results emphasise the value of genomic information for effective management to exploit the potential contribution of local genetic cattle and sheep resources in a changing environment.
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Affiliation(s)
| | | | - Anel Retief
- Department of Animal Science, University of Pretoria, Pretoria, South Africa
| | - Carina Visser
- Department of Animal Science, University of Pretoria, Pretoria, South Africa
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Ouédraogo D, Ouédraogo-Koné S, Yougbaré B, Soudré A, Zoma-Traoré B, Mészáros G, Khayatzadeh N, Traoré A, Sanou M, Mwai OA, Wurzinger M, Burger PA, Sölkner J. Population structure, inbreeding and admixture in local cattle populations managed by community-based breeding programs in Burkina Faso. J Anim Breed Genet 2021; 138:379-388. [PMID: 33609004 PMCID: PMC8248134 DOI: 10.1111/jbg.12529] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 10/16/2020] [Accepted: 11/23/2020] [Indexed: 12/30/2022]
Abstract
High-throughput genomic markers provide an opportunity to assess important indicators of genetic diversity for populations managed in livestock breeding programs. While well-structured breeding programs are common in developed countries, in developing country situations, especially in West Africa, on-farm performance and pedigree recordings are rare, and thus, genomic markers provide insights to the levels of genetic diversity, inbreeding and introgression by other breeds. In this study, we analysed key population parameters such as population structure, admixture and levels of inbreeding in three neighbouring populations of African taurine and taurine × Zebu crosses managed by community-based breeding programs in the South-West of Burkina Faso. The three populations were pure Baoulé (called Lobi locally) in sedentary production systems, Baoulé x Zebu crossbreds in sedentary systems and Zebu × Baoulé crossbreds in transhumant production systems, respectively. The total sample analysed included 631 animals and 38,207 single nucleotide polymorphisms after quality control. Results of principal component and admixture analyses confirmed the genetic background of two distinct ancestral populations (taurine and zebuine) and levels of admixture in all three breeding populations, including the presumably pure Baoulé group of animals. Inbreeding levels were moderate, compared to European dairy and beef cattle populations and higher than those of Brazilian Nellore cattle. Very few animals with inbreeding levels indicating parent-offspring or full sib mating were observed, and inbreeding levels indicating half sib mating were also rare. For the management of breeding populations, farmers were advised to exchange best young bulls. The crossbreeding levels of presumably pure Baoulé animals are of concern to the breeding program due to the high level of endangerment of pure African taurine cattle populations across West Africa. Future rounds of bull selection in the community-based breeding program will make use of genomic information about admixture levels.
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Affiliation(s)
- Dominique Ouédraogo
- Institut du Développement Rural (IDR), Université Nazi Boni (UNB), Bobo-Dioulasso, Burkina Faso.,Division of Livestock Sciences, Department of Sustainable Agricultural System, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Salifou Ouédraogo-Koné
- Institut du Développement Rural (IDR), Université Nazi Boni (UNB), Bobo-Dioulasso, Burkina Faso
| | - Bernadette Yougbaré
- Division of Livestock Sciences, Department of Sustainable Agricultural System, University of Natural Resources and Life Sciences, Vienna, Austria.,Institut de l'Environnement et de Recherches Agricoles (INERA), Ouagadougou, Burkina Faso
| | - Albert Soudré
- Unité de Formation et de Recherche en Sciences et Technologies (UFR/ST), Université Norbert Zongo, Koudougou, Burkina Faso
| | - Bienvenue Zoma-Traoré
- Institut du Développement Rural (IDR), Université Nazi Boni (UNB), Bobo-Dioulasso, Burkina Faso.,Division of Livestock Sciences, Department of Sustainable Agricultural System, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Gábor Mészáros
- Division of Livestock Sciences, Department of Sustainable Agricultural System, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Negar Khayatzadeh
- Division of Livestock Sciences, Department of Sustainable Agricultural System, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Amadou Traoré
- Institut de l'Environnement et de Recherches Agricoles (INERA), Ouagadougou, Burkina Faso
| | - Moumouni Sanou
- Institut de l'Environnement et de Recherches Agricoles (INERA), Ouagadougou, Burkina Faso
| | - Okeyo Ally Mwai
- International Livestock Research Institute (ILRI), Nairobi, Kenya
| | - Maria Wurzinger
- Division of Livestock Sciences, Department of Sustainable Agricultural System, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Pamela A Burger
- Research Institute of Wildlife Ecology, Department of Interdisciplinary Life Sciences, University of Veterinary Medicine Vienna, Vienna
| | - Johann Sölkner
- Division of Livestock Sciences, Department of Sustainable Agricultural System, University of Natural Resources and Life Sciences, Vienna, Austria
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Xia Q, Wang X, Pan Z, Zhang R, Wei C, Chu M, Di R. Genetic diversity and phylogenetic relationship of nine sheep populations based on microsatellite markers. Arch Anim Breed 2021; 64:7-16. [PMID: 34084899 PMCID: PMC8160997 DOI: 10.5194/aab-64-7-2021] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 11/02/2020] [Indexed: 11/11/2022] Open
Abstract
The objective of this study was to assess the genetic diversity and
phylogenetic relationship of nine sheep populations, including two famous
high prolific populations and seven popular mutton populations raised in
China. Overall, these sheep populations in this study exhibited a rich
genetic diversity. Both the expected heterozygosity and Nei's unbiased gene
diversity ranged from 0.64 to 0.75, with the lowest value found in Dorset sheep (DST) and
the highest in Hu sheep (HUS) and Ba Han sheep (BAS). The polymorphic information content (PIC) varied between 0.59 in DST and 0.71 in HUS and BAS. Specifically, for
individual breeds, the small-tail Han sheep (STH) and the four introduced populations did not
display the expected diversity; therefore more attention should be paid to
the maintenance of diversity during management of these populations. The
results of un-weighted pair-group method (UPGMA) phylogenetic tree and structure analysis indicated that the
nine investigated populations can be divided into two groups. Suffolk (SUF) and DST
were clustered in one group, and the other group can be further divided into
three clusters: German Mutton Merino (GMM)–BAS–Bamei Mutton sheep (BAM), HUS–STH and Du Han (DOS)–Dorper (DOP). This clustering result is
consistent with sheep breeding history. TreeMix analysis also hinted at the
possible gene flow from GMM to SUF. Together, an in-depth view of genetic
diversity and genetic relationship will have important implications for
breed-specific management.
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Affiliation(s)
- Qing Xia
- Key Laboratory of Animal Genetics and Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Xiangyu Wang
- Key Laboratory of Animal Genetics and Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Zhangyuan Pan
- Key Laboratory of Animal Genetics and Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Rensen Zhang
- Key Laboratory of Animal Genetics and Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Caihong Wei
- Key Laboratory of Animal Genetics and Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Mingxing Chu
- Key Laboratory of Animal Genetics and Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Ran Di
- Key Laboratory of Animal Genetics and Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
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Tyasi TL, Mathye ND, Danguru LW, Rashijane LT, Mokoena K, Makgowo KM, Mathapo MC, Molabe KM, Bopape PM, Maluleke D. Correlation and path analysis of body weight and biometric traits of Nguni cattle breed. J Adv Vet Anim Res 2020; 7:148-155. [PMID: 32219121 PMCID: PMC7096126 DOI: 10.5455/javar.2020.g404] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 12/27/2019] [Accepted: 12/30/2019] [Indexed: 11/30/2022] Open
Abstract
Objective: This work was conducted to examine the association between body weight (BW) and biometric traits viz. head width (HW), head length (HL), ear length (EL), body length (BL), rump height (RH), withers height (WH), sternum height (SH), rump width (RW), and heart girth (HG) and to determine the direct and indirect effects of biometric traits on BW. Materials and Methods: Sixty female and twenty male Nguni cattle between the ages of one to four years were used. Pearson correlation and path analysis were used for data analysis. Results: Correlation results recognized that BW had a positive highly significant correlation with RW (r = 0.70**), RH (r = 0.90**), HG (r = 0.90**), SH (r = 0.90**), and WH (r = 0.93**) in male, whereas SH (r = 0.34**), WH (r = 0.55**), RH (r = 0.70**), and HG (r = 0.76**) had a positive highly significant correlation with BW of female Nguni cattle. Path analysis showed that RW (13.35) had the highest direct effect, whereas SH had an indirect effect on BW of male Nguni cattle. In female Nguni cattle, RH (4.87) had the highest direct effect, whereas HL had an indirect effect on BW. Conclusion: Association findings suggest that improvement of RW, RH, HG, SH, HG, and WH might result in the increase in BW of Nguni cattle. Path analysis results suggest that RW and RH might be used as a selection criterion during breeding to increase BW of Nguni cattle. The results of the current study might be used by cattle farmers to estimate BW using biometric traits.
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Affiliation(s)
- Thobela Louis Tyasi
- Department of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa
| | - Nhlakanipho Divine Mathye
- Department of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa
| | - Lebogang William Danguru
- Department of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa
| | - Lebo Trudy Rashijane
- Department of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa
| | - Kwena Mokoena
- Department of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa
| | - Kgotlelelo Maaposo Makgowo
- Department of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa
| | - Madumetja Cyril Mathapo
- Department of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa
| | - Kagisho Madikadike Molabe
- Department of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa
| | - Paul Mogowe Bopape
- Department of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa
| | - Dannis Maluleke
- Department of Agricultural Economics and Animal Production, School of Agricultural and Environmental Sciences, University of Limpopo, Private Bag X1106, Sovenga 0727, South Africa
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