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Banayo JB, Manese KLV, Furusho KO, Salces AJ, Yamagata T. Genetic diversity and population structure analysis of Philippine native pigs highlight five priority populations for conservation. Ecol Evol 2023; 13:e10618. [PMID: 37920768 PMCID: PMC10618572 DOI: 10.1002/ece3.10618] [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: 11/17/2022] [Revised: 08/31/2023] [Accepted: 10/04/2023] [Indexed: 11/04/2023] Open
Abstract
The Philippine native pig (PhNP) is a unique genetic resource composed of multiple domesticated Sus scrofa lineages and interspecific hybrids. No prior study has determined the population structure and genetic diversity of PhNPs on multiple islands and provinces, which is essential for establishing conservation priorities. In this study, we explore the population structure and genetic diversity of various PhNP populations in Luzon and the Visayas, Philippines, to identify conservation priorities. We analyzed seven PhNP populations (n = 20-27 samples each; Benguet [B], Kalinga [K], Nueva Vizcaya [N], Isabela [I], Quezon [Q], Marinduque [M], and Samar [S]) and four transboundary breeds present in the Philippines (n = 9-11 samples each; Duroc, Large White, Landrace, and Berkshire). The pigs were compared against a panel of 20 microsatellite markers recommended by the ISAG-FAO. We tested for population structure at the island, region, and province levels. Strong genetic differentiation between native and transboundary breeds was confirmed by Bayesian clustering (k = 2) and Nei's D A genetic distance (100% bootstrap support for the PhNP cluster). PhNP exhibited high heterozygosity (Ho: 0.737), a high allele count (Na: 7.771), and a low inbreeding coefficient (Fis: -0.040-0.125). Bayesian clustering supported genetic differentiation at the island (k = 2; North Luzon and South Luzon-Visayas cluster), region (k = 3), and population (k = 8) levels. The pairwise F'st between PhNP populations ranged from 0.084 (N and I) to 0.397 (Q and K), confirming that some PhNP populations exhibited sufficient genetic distance to be considered separate populations. This study shows that native pigs from B, K, I, Q, M, and S are unique genetic units for conservation. Furthermore, the small effective population sizes of B, I, Q, M, and S (Ne: 3.9, 19.1, 14.2, 44.7, and 22.5, respectively) necessitate immediate conservation actions, such as incentivizing PhNP farming.
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Affiliation(s)
- Joy B. Banayo
- Animal Genetics and Breeding, Department of Animal Science, Graduate School of Bioagricultural SciencesNagoya UniversityNagoyaJapan
- Animal Breeding Division, Institute of Animal Science, College of Agriculture and Food ScienceUniversity of the Philippines Los BañosLos BañosLagunaPhilippines
| | - Kathlyn Louise V. Manese
- Animal Breeding Division, Institute of Animal Science, College of Agriculture and Food ScienceUniversity of the Philippines Los BañosLos BañosLagunaPhilippines
| | - Kaito O. Furusho
- Animal Breeding Division, Institute of Animal Science, College of Agriculture and Food ScienceUniversity of the Philippines Los BañosLos BañosLagunaPhilippines
| | - Agapita J. Salces
- Animal Breeding Division, Institute of Animal Science, College of Agriculture and Food ScienceUniversity of the Philippines Los BañosLos BañosLagunaPhilippines
| | - Takahiro Yamagata
- Animal Genetics and Breeding, Department of Animal Science, Graduate School of Bioagricultural SciencesNagoya UniversityNagoyaJapan
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Panigrahi M, Kumar H, Saravanan KA, Rajawat D, Sonejita Nayak S, Ghildiyal K, Kaisa K, Parida S, Bhushan B, Dutt T. Trajectory of livestock genomics in South Asia: A comprehensive review. Gene 2022; 843:146808. [PMID: 35973570 DOI: 10.1016/j.gene.2022.146808] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 02/07/2023]
Abstract
Livestock plays a central role in sustaining human livelihood in South Asia. There are numerous and distinct livestock species in South Asian countries. Several of them have experienced genetic development in recent years due to the application of genomic technologies and effective breeding programs. This review discusses genomic studies on cattle, buffalo, sheep, goat, pig, horse, camel, yak, mithun, and poultry. The frontiers covered in this review are genetic diversity, admixture studies, selection signature research, QTL discovery, genome-wide association studies (GWAS), and genomic selection. The review concludes with recommendations for South Asian livestock systems to increasingly leverage genomic technologies, based on the lessons learned from the numerous case studies. This paper aims to present a comprehensive analysis of the dichotomy in the South Asian livestock sector and argues that a realistic approach to genomics in livestock can ensure long-term genetic advancements.
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Affiliation(s)
- Manjit Panigrahi
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India.
| | - Harshit Kumar
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - K A Saravanan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Divya Rajawat
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Sonali Sonejita Nayak
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Kanika Ghildiyal
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Kaiho Kaisa
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Subhashree Parida
- Division of Pharmacology & Toxicology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Bharat Bhushan
- Division of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
| | - Triveni Dutt
- Livestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, Bareilly 243122, UP, India
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Samac D, Senčić Đ, Antunović Z, Novoselec J, Prakatur I, Steiner Z, Klir Šalavardić Ž, Ronta M, Kovačić Đ. Modifying the Quality of Pig Carcasses, Meat, and Dry Fermented Sausage from Black Slavonian Pigs by Selecting the Final Body Weight and Nutrition. Foods 2022; 11:1313. [PMID: 35564036 PMCID: PMC9099644 DOI: 10.3390/foods11091313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/28/2022] [Accepted: 04/28/2022] [Indexed: 11/16/2022] Open
Abstract
A total of 96 Black Slavonian pigs were subjected to the research, in which they were split into 6 groups. Three groups (100, 120, and 130 kg) were fed a higher level (HL) of crude protein in fodder mixtures (CPFM), and three groups (100, 120, and 130 kg) were fed a lower level (LL) of CPFM. After the pigs were slaughtered, pig carcasses were dissected and the meat and halves quality indicators were determined. According to the influence of the final body weight (BW) and nutrition of pigs on the quality of their halves, meat, and dry fermented sausages (kulens), it was concluded that feeding an HL of CPFM increased the proportion of loin, belly rib part, and chin and increased the muscle tissue in the ham, loin, shoulder, neck, and belly rib parts. However, the chemical composition of the meat and the sensory properties of the kulen were not significantly affected by feeding the pigs an HL of CPFM. It was concluded that, by selecting the final BW and adjusting the feeding strategies for pigs, it is possible to modify the conformation and composition of pig carcasses and the quality of meat and kulens produced from the Black Slavonian pig, which is important because consumers prefer products with certain characteristics and of a standard quality and are ready to pay for them.
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Affiliation(s)
- Danijela Samac
- Faculty of Agrobiotechnical Sciences Osijek, Josip Juraj Strossmayer University of Osijek, V. Preloga 1, 31000 Osijek, Croatia; (Đ.S.); (Z.A.); (J.N.); (I.P.); (Z.S.); (Ž.K.Š.); (M.R.); (Đ.K.)
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Genetic diversity and population structure of six autochthonous pig breeds from Croatia, Serbia, and Slovenia. Genet Sel Evol 2022; 54:30. [PMID: 35484510 PMCID: PMC9052598 DOI: 10.1186/s12711-022-00718-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 04/05/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The importance of local breeds as genetic reservoirs of valuable genetic variation is well established. Pig breeding in Central and South-Eastern Europe has a long tradition that led to the formation of several local pig breeds. In the present study, genetic diversity parameters were analysed in six autochthonous pig breeds from Slovenia, Croatia and Serbia (Banija spotted, Black Slavonian, Turopolje pig, Swallow-bellied Mangalitsa, Moravka and Krskopolje pig). Animals from each of these breeds were genotyped using microsatellites and single nucleotide polymorphisms (SNPs). The results obtained with these two marker systems and those based on pedigree data were compared. In addition, we estimated inbreeding levels based on the distribution of runs of homozygosity (ROH) and identified genomic regions under selection pressure using ROH islands and the integrated haplotype score (iHS). RESULTS The lowest heterozygosity values calculated from microsatellite and SNP data were observed in the Turopolje pig. The observed heterozygosity was higher than the expected heterozygosity in the Black Slavonian, Moravka and Turopolje pig. Both types of markers allowed us to distinguish clusters of individuals belonging to each breed. The analysis of admixture between breeds revealed potential gene flow between the Mangalitsa and Moravka, and between the Mangalitsa and Black Slavonian, but no introgression events were detected in the Banija spotted and Turopolje pig. The distribution of ROH across the genome was not uniform. Analysis of the ROH islands identified genomic regions with an extremely high frequency of shared ROH within the Swallow-bellied Mangalitsa, which harboured genes associated with cholesterol biosynthesis, fatty acid metabolism and daily weight gain. The iHS approach to detect signatures of selection revealed candidate regions containing genes with potential roles in reproduction traits and disease resistance. CONCLUSIONS Based on the estimation of population parameters obtained from three data sets, we showed the existence of relationships among the six pig breeds analysed here. Analysis of the distribution of ROH allowed us to estimate the level of inbreeding and the extent of homozygous regions in these breeds. The iHS analysis revealed genomic regions potentially associated with phenotypic traits and allowed the detection of genomic regions under selection pressure.
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Pingcuo ZD, Basang WD, Zhang Q, Luosang DZ, Hua KJ, Dawa YL, Zhu YB, Ba D, Suolang DJ. Genetic Diversity and Phylogenetic Structures of Four Tibet Yak Populations Using CytB Gene Sequence of Mitochondrial DNA. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422030103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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BEHL RAHUL, BEHL JYOTSNADHINGRA, NAHARDEKA N, DAS GC, KUMAR KSAJEEV, KUMAR KANIL, TANTIA MS, VIJH RK. Individual identification and population assignment with microsatellite markers: an evaluation in two Indian pig populations. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2021. [DOI: 10.56093/ijans.v91i7.115903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Ability of a set of 24 microsatellite markers for individual identification and their potential for breed assignment of individuals was evaluated in 2 Indian pig populations. The cumulative probabilities of identity of 2 random individuals within a population, even with selected set of 5 loci (CGA, S0026, S0228, S0355, SW936) were 2.87×10–8 (Assamese) and 9.66×10–8 (Anakamali) and from 2 different population was 1.13×10–12. However, the population assignment precision even with all the 24 loci was only 80 (Assamese) and 88% (Ankamali). These results suggested that although this set of markers can be safely employed for identification of individuals but their utility for breed allocation in Indian pigs needs further authentication before they can be practically used for such purposes.
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Ishikawa K, Doneva R, Raichev EG, Peeva S, Doichev VD, Amaike Y, Nishita Y, Kaneko Y, Masuda R. Population genetic structure and diversity of the East Balkan Swine (Sus scrofa) in Bulgaria, revealed by mitochondrial DNA and microsatellite analyses. Anim Sci J 2021; 92:e13630. [PMID: 34520087 DOI: 10.1111/asj.13630] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 08/06/2021] [Accepted: 08/23/2021] [Indexed: 11/28/2022]
Abstract
The East Balkan Swine (EBS) is the only indigenous pig breed in Bulgaria. We analyzed the mitochondrial DNA (mtDNA) control region and 21 microsatellite loci for 198 individuals from 11 farms in Bulgaria. Obtained 11 mtDNA haplotypes including three novel ones were grouped to two major clades, European clade E1 (146/198 individuals, 73.7%) and Asian clade A (52/198, 26.3%). The mixture of the two clades may have resulted from historical crossbreeding between the European and Asian pig breeds. Clade A was frequent in southeastern Bulgaria (Burgas Province), but less frequent or absent in northeastern Bulgaria (Varna and Shumen Provinces). The distribution of Europe- and Asia-specific haplotypes relative to EBS farm locations could be attributed to regional differences of breeding systems (e.g., crossbreeding with imported commercial pigs). A microsatellite analysis showed high heterozygosities for all the EBS farms, and negative inbreeding coefficients presumably due to crossing with commercial pigs or wild boars and/or efforts to reduce inbreeding by farmers. Bayesian clustering analyses showed that all farm populations are genetically well distinguishable from one another. Although diversity has been maintained by the efforts of farmers and a breeding association, the effective population size remains small, and conservation efforts should be continued.
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Affiliation(s)
- Keita Ishikawa
- Department of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Japan
| | - Radostina Doneva
- Association for Breeding and Preserving of the East Balkan Swine, Shumen, Bulgaria
| | | | | | | | - Yosuke Amaike
- Department of Biological Sciences, Faculty of Science, Hokkaido University, Sapporo, Japan
| | - Yoshinori Nishita
- Department of Biological Sciences, Faculty of Science, Hokkaido University, Sapporo, Japan
| | - Yayoi Kaneko
- Wildlife Conservation Laboratory, Tokyo University of Agriculture and Technology, Tokyo, Japan
| | - Ryuichi Masuda
- Department of Natural History Sciences, Graduate School of Science, Hokkaido University, Sapporo, Japan.,Department of Biological Sciences, Faculty of Science, Hokkaido University, Sapporo, Japan
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Zhang Y, Zhang X, Xue X, Shen W, Wang L, Ma Y, Zhou J, Wu G, Pan C. Identification of three new microsatellites and their effects on body measurement traits in pigs using time of flight-mass spectrometry (TOF-MS). Anim Biotechnol 2021; 33:1035-1044. [PMID: 33402031 DOI: 10.1080/10495398.2020.1865389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The body status of livestock affects their physiological function and productive performances. Microsatellites, one of the most used DNA markers, have been found to be associated with pig productive traits. However, their identifications and effects on body measurement traits of the Chinese Qinghai Bamei pig still uncovered. According to our previous sequencing data, in this study, three novel microsatellites were found in this breed. Using time of flight-mass spectrometry (TOF-MS) method, these microsatellites were further identified in a large Bamei pig population. TOF-MS spectra showed that there are three microsatellites loci, named P1, P2 and P3. These microsatellites were linkage equilibrium based on the values of D' and r2 tests. Association results demonstrated that P1 locus was associated with the body length, body height and chest width and the beneficial genotype was 150-/150-bp (p < 0.05); and P2 locus was associated with the body height (p < 0.05), and the 145-/145-bp, 145-/147-bp and 145-/149-bp were claimed as favorable genotypes and 145-bp allele was considered as the favorable allele. These findings suggested that P1 and P2 microsatellites might be considered as the candidate genetic markers to select pigs with superior body sizes, especially in local breed.
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Affiliation(s)
- Yanghai Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China.,Meat Science and Muscle Biology Laboratory, Department of Animal Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Xuelian Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xingxing Xue
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
| | - Wenjuan Shen
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
| | - Lei Wang
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China.,State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
| | - Yuhong Ma
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
| | - Jiping Zhou
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
| | - Guofang Wu
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China.,State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
| | - Chuanying Pan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
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A Genetic Evaluation System for New Zealand White Rabbit Germplasm Resources Based on SSR Markers. Animals (Basel) 2020; 10:ani10081258. [PMID: 32722175 PMCID: PMC7460188 DOI: 10.3390/ani10081258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 07/15/2020] [Accepted: 07/22/2020] [Indexed: 11/23/2022] Open
Abstract
Simple Summary The New Zealand white rabbit (Oryctolagus cuniculus) is one of the most important breeds of commercial and experimental rabbits in the world, and also one of the most raised rabbit breeds in China. Our goal was to develop a suite of microsatellite markers to aid future conservation genetics research for the Oryctolagus cuniculus breeds. Based on the genetic diversity of 130 New Zealand white rabbits, we obtained a set combination of 22 markers. Then, we performed a genetic analysis of 200 New Zealand white rabbits corresponding to two generations with this combination. It can be used to evaluate the breed conservation of rabbit germplasm resources. Abstract At present, there is an abundance of quality domestic rabbit breeds in China. However, due to the lack of technical standards for the genetic evaluation of rabbit germplasm resources, there have been a number of problems, such as poor breed conservation. By studying the genetic diversity of 130 New Zealand white rabbits (regardless of generation), we obtained the best simple sequence repeat (SSR) marker combination. We found that, when using microsatellite markers for the effective genetic evaluation of domestic rabbits, the number of records should be greater than 60 and the marker number more than 22. Through the comparative analysis of 30 combinations of 22 markers, the optimal combination of 22 markers was determined, and the 22 SSR polymorphic loci were distributed on different chromosomes. We performed a genetic analysis of 200 New Zealand white rabbits corresponding to two generations, using the best SSR polymorphic loci combination. There were no significant differences in the genetic diversity parameters between the two generations of rabbits (p > 0.05), indicating that the characteristics of this excellent rabbit germplasm have been effectively preserved. At the same time, we verified that the established method can be used to evaluate the breed conservation of rabbit germplasm resources.
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Muñoz M, Bozzi R, García-Casco J, Núñez Y, Ribani A, Franci O, García F, Škrlep M, Schiavo G, Bovo S, Utzeri VJ, Charneca R, Martins JM, Quintanilla R, Tibau J, Margeta V, Djurkin-Kušec I, Mercat MJ, Riquet J, Estellé J, Zimmer C, Razmaite V, Araujo JP, Radović Č, Savić R, Karolyi D, Gallo M, Čandek-Potokar M, Fernández AI, Fontanesi L, Óvilo C. Genomic diversity, linkage disequilibrium and selection signatures in European local pig breeds assessed with a high density SNP chip. Sci Rep 2019; 9:13546. [PMID: 31537860 PMCID: PMC6753209 DOI: 10.1038/s41598-019-49830-6] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 08/30/2019] [Indexed: 11/27/2022] Open
Abstract
Genetic characterization of local breeds is essential to preserve their genomic variability, to advance conservation policies and to contribute to their promotion and sustainability. Genomic diversity of twenty European local pig breeds and a small sample of Spanish wild pigs was assessed using high density SNP chips. A total of 992 DNA samples were analyzed with the GeneSeek Genomic Profiler (GGP) 70 K HD porcine genotyping chip. Genotype data was employed to compute genetic diversity, population differentiation and structure, genetic distances, linkage disequilibrium and effective population size. Our results point out several breeds, such as Turopolje, Apulo Calabrese, Casertana, Mora Romagnola and Lithuanian indigenous wattle, having the lowest genetic diversity, supported by low heterozygosity and very small effective population size, demonstrating the need of enhanced conservation strategies. Principal components analysis showed the clustering of the individuals of the same breed, with few breeds being clearly isolated from the rest. Several breeds were partially overlapped, suggesting genetic closeness, which was particularly marked in the case of Iberian and Alentejana breeds. Spanish wild boar was also narrowly related to other western populations, in agreement with recurrent admixture between wild and domestic animals. We also searched across the genome for loci under diversifying selection based on FST outlier tests. Candidate genes that may underlie differences in adaptation to specific environments and productive systems and phenotypic traits were detected in potentially selected genomic regions.
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Affiliation(s)
- M Muñoz
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - R Bozzi
- DAGRI, Animal Science Section, Università degli Studi di Firenze, Firenze, Italy
| | - J García-Casco
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - Y Núñez
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - A Ribani
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - O Franci
- DAGRI, Animal Science Section, Università degli Studi di Firenze, Firenze, Italy
| | - F García
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - M Škrlep
- Kmetijski inštitut Slovenije, Hacquetova ulica 17, SI-1000, Ljubljana, Slovenia
| | - G Schiavo
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - S Bovo
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - V J Utzeri
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - R Charneca
- Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Universidade de Évora, Évora, Portugal
| | - J M Martins
- Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Universidade de Évora, Évora, Portugal
| | - R Quintanilla
- IRTA, Programa de Genética y Mejora Animal, Barcelona, Spain
| | - J Tibau
- IRTA, Programa de Genética y Mejora Animal, Barcelona, Spain
| | - V Margeta
- Faculty of Agrobiotechnical Sciences Osijek, University of Osijek, Osijek, Croatia
| | - I Djurkin-Kušec
- Faculty of Agrobiotechnical Sciences Osijek, University of Osijek, Osijek, Croatia
| | - M J Mercat
- IFIP - Institut du Porc, Le Rheu, France
| | - J Riquet
- INRA, Génétique Physiologie et Système d'Elevage, Castanet-Tolosan, France
| | - J Estellé
- GABI, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - C Zimmer
- Bäuerliche Erzeugergemeinschaft Schwäbisch Hall, Wolpertshausen, Germany
| | - V Razmaite
- Animal Science Institute, Lithuanian University of Health Sciences, Baisogala, Lithuania
| | - J P Araujo
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Viana do Castelo, Escola Superior Agrária, Ponte de Lima, Portugal
| | - Č Radović
- Institute for Animal Husbandry-Pig Research Department, Autoput for Zagreb 16, 11080, Belgrade-Zemun, Serbia
| | - R Savić
- University of Belgrade, Faculty of agriculture, Nemanjina 6, 11080, Belgrade-Zemun, Serbia
| | - D Karolyi
- Department of Animal Science, University of Zagreb, Faculty of Agriculture, Zagreb, Croatia
| | - M Gallo
- Associazione Nazionale Allevatori Suini (ANAS), Roma, Italy
| | - M Čandek-Potokar
- Kmetijski inštitut Slovenije, Hacquetova ulica 17, SI-1000, Ljubljana, Slovenia
| | - A I Fernández
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - L Fontanesi
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - C Óvilo
- Departamento Mejora Genética Animal, INIA, Madrid, Spain.
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E G, Hong Q, Zhao Y, Ma Y, Chu M, Zhu L, Huang Y. Genetic diversity estimation of Yunnan indigenous goat breeds using microsatellite markers. Ecol Evol 2019; 9:5916-5924. [PMID: 31161008 PMCID: PMC6540658 DOI: 10.1002/ece3.5174] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 03/27/2019] [Accepted: 03/28/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND To assess the genetic diversity of seven Yunnan indigenous goat populations (Fengqing hornless goat, Mile red-bone goat, Longling goat, Ninglang black goat, Black-bone goat, Yunling black goat, and Zhaotong goat), their population structures were investigated using 20 microsatellite markers. RESULTS The results indicated that the genetic diversity of these goats was rich. The observed heterozygosity ranged from 0.4667 ± 0.0243 to 0.5793 ± 0.0230, and the mean number of alleles ranged from 4.80 ± 1.61 and 4.80 ± 1.64 to 6.20 ± 2.93. The population structure analysis showed that these seven goat populations were separated into two clusters, consistent with the results from phylogenetic networks, pairwise differences, and STRUCTURE analyses. We speculate that this may have been caused by natural geographical isolation, human migration and economic and cultural exchanges. We suggest removing CSRD247 and ILSTS005, two loci identified to be under positive selection in the present study, from the microsatellite evaluation system of goats. CONCLUSIONS The present study may provide a scientific basis for the conservation and utilization of Yunnan indigenous goats.
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Affiliation(s)
- Guang‐Xin E
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and UtilizationSouthwest UniversityChongqingChina
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of ZoologyChinese Academy of SciencesKunmingChina
| | - Qiong‐Hua Hong
- Yunnan Animal Science and Veterinary InstituteKunmingChina
| | - Yong‐Ju Zhao
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and UtilizationSouthwest UniversityChongqingChina
| | - Yue‐Hui Ma
- Institute of Animal ScienceChinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Ming‐Xing Chu
- Institute of Animal ScienceChinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Lan Zhu
- Institute of Animal ScienceChinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Yong‐Fu Huang
- College of Animal Science and Technology, Chongqing Key Laboratory of Forage & Herbivore, Chongqing Engineering Research Centre for Herbivores Resource Protection and UtilizationSouthwest UniversityChongqingChina
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13
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Ribani A, Utzeri VJ, Geraci C, Tinarelli S, Djan M, Veličković N, Doneva R, Dall'Olio S, Nanni Costa L, Schiavo G, Bovo S, Usai G, Gallo M, Radović Č, Savić R, Karolyi D, Salajpal K, Gvozdanović K, Djurkin-Kušec I, Škrlep M, Čandek-Potokar M, Ovilo C, Fontanesi L. Signatures of de-domestication in autochthonous pig breeds and of domestication in wild boar populations from MC1R and NR6A1 allele distribution. Anim Genet 2019; 50:166-171. [PMID: 30741434 DOI: 10.1111/age.12771] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2018] [Indexed: 01/14/2023]
Abstract
Autochthonous pig breeds are usually reared in extensive or semi-extensive production systems that might facilitate contact with wild boars and, thus, reciprocal genetic exchanges. In this study, we analysed variants in the melanocortin 1 receptor (MC1R) gene (which cause different coat colour phenotypes) and in the nuclear receptor subfamily 6 group A member 1 (NR6A1) gene (associated with increased vertebral number) in 712 pigs of 12 local pig breeds raised in Italy (Apulo-Calabrese, Casertana, Cinta Senese, Mora Romagnola, Nero Siciliano and Sarda) and south-eastern European countries (Krškopolje from Slovenia, Black Slavonian and Turopolje from Croatia, Mangalitsa and Moravka from Serbia and East Balkan Swine from Bulgaria) and compared the data with the genetic variability at these loci investigated in 229 wild boars from populations spread in the same macro-geographic areas. None of the autochthonous pig breeds or wild boar populations were fixed for one allele at both loci. Domestic and wild-type alleles at these two genes were present in both domestic and wild populations. Findings of the distribution of MC1R alleles might be useful for tracing back the complex genetic history of autochthonous breeds. Altogether, these results indirectly demonstrate that bidirectional introgression of wild and domestic alleles is derived and affected by the human and naturally driven evolutionary forces that are shaping the Sus scrofa genome: autochthonous breeds are experiencing a sort of 'de-domestication' process, and wild resources are challenged by a 'domestication' drift. Both need to be further investigated and managed.
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Affiliation(s)
- A Ribani
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - V J Utzeri
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - C Geraci
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - S Tinarelli
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy.,Associazione Nazionale Allevatori Suini, via Nizza 53, 00198, Roma, Italy
| | - M Djan
- Department of Biology and Ecology, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovica 2, 21000, Novi Sad, Serbia
| | - N Veličković
- Department of Biology and Ecology, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovica 2, 21000, Novi Sad, Serbia
| | - R Doneva
- Association for Breeding and Preserving of the East Balkan Swine, 3 Simeon Veliki Blvd., Shumen, 9700, Bulgaria
| | - S Dall'Olio
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - L Nanni Costa
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - G Schiavo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - S Bovo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - G Usai
- Servizio Ricerca per la Zootecnia, Agris Sardegna, Loc. Bonassai SS 291 km 18,600, 07100, Sassari, Italy
| | - M Gallo
- Associazione Nazionale Allevatori Suini, via Nizza 53, 00198, Roma, Italy
| | - Č Radović
- Department of Pig Breeding and Genetics, Institute for Animal Husbandry, 11080, Belgrade-Zemun, Serbia
| | - R Savić
- Faculty of Agriculture, University of Belgrade, Nemanjina 6, 11080, Belgrade-Zemun, Serbia
| | - D Karolyi
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetosimunska 25, 10000, Zagreb, Croatia
| | - K Salajpal
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetosimunska 25, 10000, Zagreb, Croatia
| | - K Gvozdanović
- Faculty of Agrobiotechnical Sciences, University of Osijek, Vladimira Preloga 1, 31000, Osijek, Croatia
| | - I Djurkin-Kušec
- Faculty of Agrobiotechnical Sciences, University of Osijek, Vladimira Preloga 1, 31000, Osijek, Croatia
| | - M Škrlep
- Kmetijski inštitut Slovenije, Hacquetova ulica 17, 1000, Ljubljana, Slovenia
| | - M Čandek-Potokar
- Kmetijski inštitut Slovenije, Hacquetova ulica 17, 1000, Ljubljana, Slovenia
| | - C Ovilo
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, 28040, Madrid, Spain
| | - L Fontanesi
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
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