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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] [Download PDF] [Figures] [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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Shang S, Wang Y, Yu X, Zhang D, Luo R, Jiang R, Zhao G, Du X, Zhang J, Irwin DM, Wang Z, Zhang S. Development of a 17-plex STR typing system for the identification of individuals and parentage testing in cattle. Sci Rep 2024; 14:24998. [PMID: 39443655 PMCID: PMC11500086 DOI: 10.1038/s41598-024-76547-y] [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: 07/26/2024] [Accepted: 10/15/2024] [Indexed: 10/25/2024] Open
Abstract
Accurate identification of animals and the verification of their parentage can be used to pedigree populations and support selective breeding. The International Society for Animal Genetics recommended 16 cattle STRs for individual identification and parentage testing in cattle, but no multiplex STR typing system contains these 16 STRs. Here, we develop an efficient 17-plex multiplex typing system for cattle that contains the 16 ISAG recommend STRs and a sex-determining marker. Compared to the Bovine Parenting Typing Kit (containing 11 of the 16 ISAG recommend STRs), our new typing system not only increases the number of molecular markers, but also simplifies the PCR operation and shortens the time for the typing procedure (from 4.5 h to 1 h 37 min). Profile can be generated from a single PCR reaction using as little as 1 ng of DNA. The combined probabilities of paternity exclusion CPEduo and CPEtrio were 0.999804697 and 0.999999260, respectively. These results indicate that our 17-plex typing system is a fast, sensitive and species-specific method for the identification of individuals and their parentage for cattle. The application of this system will improve the efficiency of the identification of cattle individuals and their paternity, supporting population genetic research and the selective breeding of cattle.
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Affiliation(s)
- Songyang Shang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Yutong Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Xiujuan Yu
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Defu Zhang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Runhong Luo
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Ri Jiang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Gang Zhao
- Liaoning Agricultural Development Service Center, Shenyang, 110032, Liaoning, China
| | - Xuehai Du
- Liaoning Agricultural Development Service Center, Shenyang, 110032, Liaoning, China
| | - Jupeng Zhang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - David M Irwin
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Zhe Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Shuyi Zhang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China.
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Susana Lopes M, Azevedo AR, Mendonça D, Rojer H, Cabral V, Ceraolo F, Canto Brum C, Mendes B, da Câmara Machado A. Morphological and genetic characterization of the Graciosa donkey breed. JOURNAL OF APPLIED ANIMAL RESEARCH 2023. [DOI: 10.1080/09712119.2023.2171421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Affiliation(s)
- Maria Susana Lopes
- Centro de Biotecnologia dos Açores, Universidade dos Açores, Angra do Heroísmo, Açores, Portugal
| | - Ana Rita Azevedo
- Centro de Biotecnologia dos Açores, Universidade dos Açores, Angra do Heroísmo, Açores, Portugal
| | - Duarte Mendonça
- Centro de Biotecnologia dos Açores, Universidade dos Açores, Angra do Heroísmo, Açores, Portugal
| | - Horst Rojer
- Centro de Biotecnologia dos Açores, Universidade dos Açores, Angra do Heroísmo, Açores, Portugal
| | - Verónica Cabral
- Centro de Biotecnologia dos Açores, Universidade dos Açores, Angra do Heroísmo, Açores, Portugal
| | - Franco Ceraolo
- Associação de Criadores e Amigos do Burro Anão da Ilha Graciosa, Açores, Portugal
| | - Carlos Canto Brum
- Associação de Criadores e Amigos do Burro Anão da Ilha Graciosa, Açores, Portugal
| | - Bruno Mendes
- CRL, Unicol-Cooperativa Agrícola, Açores, Portugal
| | - Artur da Câmara Machado
- Centro de Biotecnologia dos Açores, Universidade dos Açores, Angra do Heroísmo, Açores, Portugal
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Species assignment in forensics and the challenge of hybrids. Forensic Sci Int Genet 2020; 48:102333. [PMID: 32615399 DOI: 10.1016/j.fsigen.2020.102333] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 06/01/2020] [Accepted: 06/04/2020] [Indexed: 01/04/2023]
Abstract
Forensic identification of species is in growing demand, particularly from law enforcement authorities in the areas of wildlife, fisheries and hunting as well as food authentication. Within the non-human forensic genetics expanding applications' field, the major current difficulties result from the lack of standards and genetic databases as well as the poor or absent taxonomic definition of several groups. Here we focus on a forensically important and overlooked problem in species identification: the exclusive use of uniparental markers, a common practice in current genetic barcoding methodologies, may lead to incorrect or impossible assignment whenever hybrids can occur (frequently, not only in domesticates, but also in the wild). For example, if one of these cases involves a mammal, and mitochondrial DNA alone is used (which in instances may be the only type of DNA sequence available in databases), the sample will be wrongfully assigned to the female parental species, completely missing the detection of a possible hybrid animal. The importance of this issue in the forensic contributions to food authentication, wildlife and conservation genetics is analyzed. We present a cautionary guidance on the forensic reporting of results avoiding this error.
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