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Wang Y, Tang C, Xue P, Yang N, Sun X, Serik K, Assanbayer T, Shamekova M, Kozhanov Z, Sapakhova Z, Khurramovich JK, Zhou X, Kairat I, Muhatai G. Identification of Genetic Relationships and Group Structure Analysis of Yanqi Horses. Genes (Basel) 2025; 16:294. [PMID: 40149446 PMCID: PMC11941870 DOI: 10.3390/genes16030294] [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: 02/02/2025] [Revised: 02/24/2025] [Accepted: 02/24/2025] [Indexed: 03/29/2025] Open
Abstract
Background/Objectives: The Yanqi horse is a distinguished local breed in China, known for its robust physique and strong adaptability. However, due to insufficient breeding populations and a loosely structured breeding system, the number of Yanqi horses has been declining annually. To protect its genetic resources and develop scientific breeding strategies, this study aimed to analyze the genetic diversity, parentage relationships, and genetic structure of the Yanqi horse conservation population using microsatellite markers. Materials and Methods: A total of 117 Yanqi horses were selected for genotyping analysis using 16 microsatellite markers. Genetic diversity parameters (e.g., allele number, heterozygosity, F-statistics) were calculated using GeneAIEX (v.6.503) and Fstat software (v.2.9.4). Parentage analysis was conducted using Cervus software. Bayesian clustering analysis was performed using STRUCTURE software (v.2.3.4), and a phylogenetic tree was constructed based on Nei's genetic distance to reveal the population genetic structure. Results: A total of 191 alleles were detected, with an average allele number of 11.969, observed heterozygosity of 0.481, and expected heterozygosity of 0.787. Parentage testing showed a cumulative exclusion probability (CEP) of 0.9652999 when one parent's genotype was known and 0.9996999 when both parents' genotypes were known, achieving an accuracy of 99%. Genetic differentiation analysis revealed moderate genetic divergence among populations (FST = 0.128) and moderate inbreeding levels (FIS = 0.396). Bayesian clustering analysis (K = 4) indicated that the Yanqi horse population could be divided into four genetic clusters, reflecting the impact of geographical isolation on genetic structure. Conclusions: The Yanqi horse conservation population exhibits moderate genetic diversity, high accuracy in parentage identification, and moderate genetic differentiation and inbreeding. The findings provide a scientific basis for the conservation and sustainable utilization of Yanqi horse genetic resources. Future efforts should focus on strengthening conservation measures, optimizing breeding strategies, and further investigating the genetic background using genomic technologies to ensure the sustainable development of the Yanqi horse population.
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Affiliation(s)
- Yaru Wang
- College of Animals Science and Technology, Tarim University, Alar 843300, China; (Y.W.)
- Key Laboratory of Tarim Basin Biological Resources Protection and Utilization, Tarim University, Alar 843300, China
- Key Laboratory of Tarim Livestock Science and Technology Corps, Tarim University, Alar 843300, China
| | - Chi Tang
- College of Animals Science and Technology, Tarim University, Alar 843300, China; (Y.W.)
- Key Laboratory of Tarim Basin Biological Resources Protection and Utilization, Tarim University, Alar 843300, China
| | - Pengfei Xue
- College of Animals Science and Technology, Tarim University, Alar 843300, China; (Y.W.)
- Key Laboratory of Tarim Livestock Science and Technology Corps, Tarim University, Alar 843300, China
| | - Na Yang
- College of Animals Science and Technology, Tarim University, Alar 843300, China; (Y.W.)
- Key Laboratory of Tarim Basin Biological Resources Protection and Utilization, Tarim University, Alar 843300, China
- Key Laboratory of Tarim Livestock Science and Technology Corps, Tarim University, Alar 843300, China
| | - Xiaoyuan Sun
- College of Animals Science and Technology, Tarim University, Alar 843300, China; (Y.W.)
- Key Laboratory of Tarim Basin Biological Resources Protection and Utilization, Tarim University, Alar 843300, China
- Key Laboratory of Tarim Livestock Science and Technology Corps, Tarim University, Alar 843300, China
| | - Khizat Serik
- Physiology, Morphology and Biochemistry, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan
| | - Tolegen Assanbayer
- Zootechnology and Veterinary Medicine, Toraighyrov University, Pavlodar 140008, Kazakhstan
| | - Malika Shamekova
- Institute of Plant Biology and Biotechnology, Breeding and Biotechnology Laboratory, Almaty 050000, Kazakhstan
| | - Zhassulan Kozhanov
- Horse Breeding Department, Kazakh Research Institute of Livestock and Forage Production, Almaty 050000, Kazakhstan
| | - Zagipa Sapakhova
- Institute of Plant Biology and Biotechnology, Breeding and Biotechnology Laboratory, Almaty 050000, Kazakhstan
| | - Jurakulov Kobil Khurramovich
- Animal Husbandry and Biotechnology, Samarkand State University of Veterinary Medicine, Samarkand 140100, Uzbekistan
| | - Xiaoling Zhou
- College of Animals Science and Technology, Tarim University, Alar 843300, China; (Y.W.)
- Key Laboratory of Tarim Livestock Science and Technology Corps, Tarim University, Alar 843300, China
| | - Iskhan Kairat
- Physiology, Morphology and Biochemistry, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan
| | - Gemingguli Muhatai
- College of Animals Science and Technology, Tarim University, Alar 843300, China; (Y.W.)
- Key Laboratory of Tarim Basin Biological Resources Protection and Utilization, Tarim University, Alar 843300, China
- Key Laboratory of Tarim Livestock Science and Technology Corps, Tarim University, Alar 843300, China
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Duderstadt S, Distl O. Influence of Sires on Population Substructure in Dülmen Wild Horses. Animals (Basel) 2024; 14:2904. [PMID: 39409853 PMCID: PMC11475081 DOI: 10.3390/ani14192904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2024] [Revised: 10/03/2024] [Accepted: 10/07/2024] [Indexed: 10/20/2024] Open
Abstract
The objectives of the present study were to analyze the influence of the stallions employed in the Dülmen wild horses on the genetic diversity and population substructure using Bayesian cluster analysis. The Dülmen wild horse is maintained as a unique horse population exposed to the natural conditions all year round in the Merfelder Bruch near Dülmen in Westphalia, Germany. Stallions selected for breeding have to prove their abilities to survive under this harsh environment. We used multilocus genotypic information from a set of 29 autosomal microsatellites to determine the paternity of 185 male foals sired by nine stallions. As females could not be sampled, we could not make inferences on all yearlings and test whether there are differences in the genetic population parameters between both sexes. The mean number of progeny was 19.92 with a range of 2-32, caused by the length of the service period per stallion. The average observed and unbiased expected heterozygosity was 0.688 and 0.631, the mean number of alleles was 4.448, and Wright's FIS was -0.173. Pairwise genetic distances (FST and Nei's unbiased genetic distances) were significant and varied between 0.038 to 0.091 and 0.085 to 0.290, respectively. Neighbor-joining dendrogram plots clustered a large proportion of the paternal progeny groups in different branches. Posterior Bayesian analyses using seven paternal half-sib groups with 10-74 members supported a maximum of six clusters, with two paternal progeny groups not differing, and a median of five clusters, with two groups of two sires each falling into the same clusters. When sires were employed in non-consecutive years, progeny from these different years of the same sires were grouped in the same cluster, whereas the progeny of one sire from two consecutive years were in different clusters. We were able to distinguish male progeny from Dülmen wild horse stallions and to show the effects of stallion use on the genetic substructure in the Dülmen wild horse herd. In conclusion, the analyses showed the genetic potential of the Dülmen wild horse stallions to maintain a high genetic diversity and also the effects in which breeding seasons and for how long stallions are used to sire foals. The selection of stallions may be sensitive for the further development of genetic diversity and preserve this closed population as a valuable resource for further studies on the evolution of the horse.
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Affiliation(s)
| | - Ottmar Distl
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover (Foundation), 30559 Hannover, Germany;
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Duderstadt S, Distl O. Genetic Diversity and Population Structure of Dülmen Wild, Liebenthal and Polish Konik Horses in Comparison with Przewalski, Sorraia, German Draught and Riding Horses. Animals (Basel) 2024; 14:2221. [PMID: 39123746 PMCID: PMC11311111 DOI: 10.3390/ani14152221] [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: 06/30/2024] [Revised: 07/24/2024] [Accepted: 07/30/2024] [Indexed: 08/12/2024] Open
Abstract
The objective of the present study was to analyze the genetic diversity, individual-based assessment of population structure, and admixture in the Dülmen wild horse population in comparison to warmblood, coldblood, and primitive horse populations. The Dülmen wild horse is kept as a unique horse population in the Merfelder Bruch near Dülmen in Westphalia, Germany, and since 1856 has been managed by the Dukes of Croÿ. The Dülmen wild horse population is exposed to the natural conditions of the Merfelder Bruch all year round without human interventions for feeding and veterinary care. In the present study, genetic diversity was estimated for 101 Dülmen wild horses using multilocus genotypic information from a set of 29 autosomal microsatellites and compared with 587 horses from 17 different horse populations. Dülmen wild horses maintained a high degree of genetic diversity, with an average observed heterozygosity of 0.68, a mean number of 6.17 alleles, and heterozygote deficit of -0.035. Pairwise genetic distances (FST, Nei's standard, and Cavalli-Sforza distances) were closest to German coldblood breeds, Polish Konik, and Icelandic horses and most divergent from Sorraia and Przewalski's horses. Neighbor joining dendrogram and PCA plots showed a clear distinction of Dülmen wild horses from other populations, particularly from Przewalski horses. Posterior Bayesian analysis confirmed clear differentiation from other horse populations without an admixture pattern and a high membership index (0.92). It was possible to distinguish Dülmen wild horses from Dülmen and Polish Konik horses. In conclusion, Dülmen wild horses show a notable separation from other German horse breeds and primitive horse populations and may serve as a resource to study evolution of equine domestication.
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Affiliation(s)
| | - Ottmar Distl
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover (Foundation), 30559 Hannover, Germany;
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Musiał AD, Radović L, Stefaniuk-Szmukier M, Bieniek A, Wallner B, Ropka-Molik K. Mitochondrial DNA and Y chromosome reveal the genetic structure of the native Polish Konik horse population. PeerJ 2024; 12:e17549. [PMID: 38912049 PMCID: PMC11193968 DOI: 10.7717/peerj.17549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 05/20/2024] [Indexed: 06/25/2024] Open
Abstract
Polish Konik remains one of the most important horse breeds in Poland. The primitive, native horses with a stocky body and mouse-like coat color are protected by a conservation program, while their Polish population consists of about 3,480 individuals, representing 16 dam and six sire lines. To define the population's genetic structure, mitochondrial DNA and Y chromosome sequence variables were identified. The mtDNA whole hypervariable region analysis was carried out using the Sanger sequencing method on 233 Polish Koniks belonging to all dam lines, while the Y chromosome analysis was performed with the competitive allele-specific PCR genotyping method on 36 horses belonging to all sire lines. The analysis of the mtDNA hypervariable region detected 47 SNPs, which assigned all tested horses to 43 haplotypes. Most dam lines presented more than one haplotype; however, five dam lines were represented by only one haplotype. The haplotypes were classified into six (A, B, E, J, G, R) recognized mtDNA haplogroups, with most horses belonging to haplogroup A, common among Asian horse populations. Y chromosome analysis allocated Polish Koniks in the Crown group, condensing all modern horse breeds, and divided them into three haplotypes clustering with coldblood breeds (28 horses), warmblood breeds (two horses), and Duelmener Pony (six horses). The clustering of all Wicek sire line stallions with Duelmener horses may suggest a historical relationship between the breeds. Additionally, both mtDNA and Y chromosome sequence variability results indicate crossbreeding before the studbooks closure or irregularities in the pedigrees occurred before the DNA testing introduction.
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Affiliation(s)
- Adrianna Dominika Musiał
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland
| | - Lara Radović
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, Austria
- Vienna Graduate School of Population Genetics, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Monika Stefaniuk-Szmukier
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland
| | - Agnieszka Bieniek
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland
| | - Barbara Wallner
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Katarzyna Ropka-Molik
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland
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Cardinali I, Giontella A, Tommasi A, Silvestrelli M, Lancioni H. Unlocking Horse Y Chromosome Diversity. Genes (Basel) 2022; 13:genes13122272. [PMID: 36553539 PMCID: PMC9777570 DOI: 10.3390/genes13122272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 11/30/2022] [Accepted: 11/30/2022] [Indexed: 12/11/2022] Open
Abstract
The present equine genetic variation mirrors the deep influence of intensive breeding programs during the last 200 years. Here, we provide a comprehensive current state of knowledge on the trends and prospects on the variation in the equine male-specific region of the Y chromosome (MSY), which was assembled for the first time in 2018. In comparison with the other 12 mammalian species, horses are now the most represented, with 56 documented MSY genes. However, in contrast to the high variability in mitochondrial DNA observed in many horse breeds from different geographic areas, modern horse populations demonstrate extremely low genetic Y-chromosome diversity. The selective pressures employed by breeders using pedigree data (which are not always error-free) as a predictive tool represent the main cause of this lack of variation in the Y-chromosome. Nevertheless, the detailed phylogenies obtained by recent fine-scaled Y-chromosomal genotyping in many horse breeds worldwide have contributed to addressing the genealogical, forensic, and population questions leading to the reappraisal of the Y-chromosome as a powerful genetic marker to avoid the loss of biodiversity as a result of selective breeding practices, and to better understand the historical development of horse breeds.
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Affiliation(s)
- Irene Cardinali
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy
- Correspondence: (I.C.); (A.G.)
| | - Andrea Giontella
- Department of Veterinary Medicine, University of Perugia, 06126 Perugia, Italy
- Correspondence: (I.C.); (A.G.)
| | - Anna Tommasi
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, 27100 Pavia, Italy
| | | | - Hovirag Lancioni
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy
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Genetic Diversity and Structure of the Main Danubian Horse Paternal Genealogical Lineages Based on Microsatellite Genotyping. Vet Sci 2022; 9:vetsci9070333. [PMID: 35878350 PMCID: PMC9322366 DOI: 10.3390/vetsci9070333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 06/23/2022] [Accepted: 06/28/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The Danubian horse was created on the former Klementina stud farm near Pleven to satisfy the demands of the Bulgarian Army for light draft horses and to improve the working capacity of the local horse population. The privatization of the Klementina stud farm in the late 1990s and the lack of economic activity have led to a sharp reduction in the number of mares and stallions and their sale to private owners. At present, only six of the main paternal lines which participated in the creation of the Danubian horse breed are preserved: Zdravko, NONIUS XVII-30, Torpedo, Lider, Kalifa, and Hrabar. This is the first study on the genetic and population diversity of the Danubian horse paternal lines based on microsatellite markers (STRs). The results showed that the studied Danubian horse population was characterized by a high level of genetic diversity with a medium value of 0.84. The fixation index (FST) was 0.08 for all studied markers, which is indicative of the low genetic differentiation of the Danubian horse population. Our analysis also confirmed the low level of inbreeding and heterozygous deficiency among the animals selected from the six paternal lineages of the Danubian horse. The present research could be helpful for the development of breeding and conservation programs for the Danubian horse, as well as for making informed decisions on the management of paternal lines. Abstract The Danubian horse, together with the Pleven and the Eastern Bulgarian horse breeds, is one of the modern breeds in Bulgaria. The objective of this study was to compare the genetic structure and genetic diversity of six paternal genealogical lineages of the Danubian horse breed (Zdravko, NONIUS XVII-30, Torpedo, Lider, Kalifa, and Hrabar). In total, 166 individuals from the six genealogical lines were investigated, based on 15 STR markers (short tandem repeats, also known as microsatellites). In total, 184 alleles were found in the six populations, using 15 microsatellite loci. The mean number of alleles, the effective number of alleles, and the polymorphic information content (PIC) values per locus were 12.28, 9.48, and 0.73, respectively. In a comparison of the allelic diversity among sire lineages, the highest genetic diversity (Na) was observed in Lider and Kalifa (14.60 ± 0.21), while the lowest value of this parameter was observed in the Zdravko lineage 4.20 ± 0.35. The largest genetic diversity was found in loci HMS3 and HMS7, with 13 alleles, and the smallest polymorphism was noted for the locus ASB17, with 10 alleles. The level of observed heterozygosity was in the range of 0.65 ± 0.069 for the Zdravko lineage to 0.93 ± 0.01 for the Torpedo lineage. The expected heterozygosity level range was from 0.57 ± 0.048 to 0.91 ± 0.01 for all horse lineages. Structure analysis revealed three main gene pools in the study population. The first pool included the Zdravko lineage; the second had the NONIUS XVII-30, Torpedo, Lider, and Kalifa lineages; and the third defined the Hrabar lineage, which was significantly differentiated from the other genealogical lineages.
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Ji D, Su X, Yao J, Zhang W, Wang R, Zhang S. Genetic Diversity and Genetic Differentiation of Populations of Golden-Backed Carp (Cyprinus carpio var. Jinbei) in Traditional Rice Fields in Guizhou, China. Animals (Basel) 2022; 12:ani12111377. [PMID: 35681841 PMCID: PMC9179865 DOI: 10.3390/ani12111377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/06/2022] [Accepted: 05/12/2022] [Indexed: 01/13/2023] Open
Abstract
Simple Summary Rice-fish farming refers to the cultivation of fish in rice fields. China’s Guizhou Province has a long history (over 1000 years) of Rice-fish farming. Carp (golden-backed carp) that have been cultivated for generations in rice fields have evolved to be extremely adaptable to that environment. Unfortunately, farmers and enterprises have found that the feeding ability and growth rate of golden-backed carp are becoming increasingly weaker and slower, respectively. Therefore, the present study carried out to examine the population genetics of golden-backed, and the results indicated that the status of germplasm resources of this species is not very good. The aim of this study was to further elucidate the status of golden-backed carp germplasm resources in this province. In conclusion, this work can provide reliable fundamental data for the future conservation and breeding of golden-backed carp. Abstract The aim of this study was to assess the current status of the germplasm resources of golden-backed carp (Cyprinus carpio var. Jinbei) cultured in paddy fields in Guizhou Province, China. Five populations of golden-backed carp in Liping County, Jinping County, Huangping County, Congjiang County and Duyun City in Guizhou Province were subjected to high-throughput sequencing by 2b-RAD technology, and their genetic diversity and genetic differentiation were analysed. Based on sequencing, 44,896 SNP loci were obtained, and all five population genetic diversity indicators showed low diversity. In the NJ tree, the Congjiang and Liping populations were mixed together, and the other three groups formed a cluster. A cross-validation error box plot and pong cluster plot were constructed to show the K value results. When K = 1, the cross-validation error rate was the lowest. Principal component analysis showed that the Duyun population formed a group separate from the group comprising the other four populations. The genetic differentiation index and genetic distances between the Duyun population and the remaining four populations were greater than 0.05, indicating population differentiation. The genetic diversity of the five populations of golden-backed carp in Guizhou Province was low, the genetic differentiation of the Duyun population was the most significant, and the Duyun population was separate from the other four groups.
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Affiliation(s)
- Da Ji
- Research Center of Fishery Resources and Environment, Guizhou University, Guiyang 550000, China; (D.J.); (X.S.); (W.Z.); (R.W.); (S.Z.)
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guiyang 550000, China
| | - Xin Su
- Research Center of Fishery Resources and Environment, Guizhou University, Guiyang 550000, China; (D.J.); (X.S.); (W.Z.); (R.W.); (S.Z.)
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guiyang 550000, China
| | - Junjie Yao
- Research Center of Fishery Resources and Environment, Guizhou University, Guiyang 550000, China; (D.J.); (X.S.); (W.Z.); (R.W.); (S.Z.)
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guiyang 550000, China
- Correspondence: ; Tel.: +86-139-848-17616
| | - Wenzheng Zhang
- Research Center of Fishery Resources and Environment, Guizhou University, Guiyang 550000, China; (D.J.); (X.S.); (W.Z.); (R.W.); (S.Z.)
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guiyang 550000, China
| | - Rongrong Wang
- Research Center of Fishery Resources and Environment, Guizhou University, Guiyang 550000, China; (D.J.); (X.S.); (W.Z.); (R.W.); (S.Z.)
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guiyang 550000, China
| | - Shuhai Zhang
- Research Center of Fishery Resources and Environment, Guizhou University, Guiyang 550000, China; (D.J.); (X.S.); (W.Z.); (R.W.); (S.Z.)
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guiyang 550000, China
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Podbielska A, Piórkowska K, Szmatoła T. Microsatellite-Based Genetic Structure and Hybrid Detection in Alpacas Bred in Poland. Animals (Basel) 2021; 11:ani11082193. [PMID: 34438651 PMCID: PMC8388510 DOI: 10.3390/ani11082193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 07/17/2021] [Accepted: 07/18/2021] [Indexed: 11/16/2022] Open
Abstract
This study aimed to characterize the population structure and genetic diversity of alpacas maintained in Poland using 17 microsatellite markers recommended by the International Society for Animal Genetics. The classification of llamas, alpacas, and hybrids of both based on phenotype is often difficult due to long-term admixture. Our results showed that microsatellite markers can distinguish alpacas from llamas and provide information about the level of admixture of one species in another. Alpacas admixed with llamas constituted 8.8% of the tested individuals, with the first-generation hybrid displaying only 7.4% of llama admixture. The results showed that Poland hosts a high alpaca genetic diversity as a consequence of their mixed origin. More than 200 different alleles were identified and the average observed heterozygosity and expected heterozygosity values were 0.745 and 0.768, respectively, the average coefficient of inbreeding was 0.034, and the average polymorphism information content value was 0.741. The probability of exclusion for one parent was estimated at 0.99995 and for two parents at 0.99999.
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Affiliation(s)
- Angelika Podbielska
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland; (K.P.); (T.S.)
- Correspondence:
| | - Katarzyna Piórkowska
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland; (K.P.); (T.S.)
| | - Tomasz Szmatoła
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland; (K.P.); (T.S.)
- Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Rędzina 1c, 30-248 Kraków, Poland
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