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Yang R, Han Z, Zhou W, Li X, Zhang X, Zhu L, Wang J, Li X, Zhang CL, Han Y, Li L, Liu S. Population structure and selective signature of Kirghiz sheep by Illumina Ovine SNP50 BeadChip. PeerJ 2024; 12:e17980. [PMID: 39308831 PMCID: PMC11416764 DOI: 10.7717/peerj.17980] [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: 05/07/2024] [Accepted: 08/06/2024] [Indexed: 09/25/2024] Open
Abstract
Objective By assessing the genetic diversity and associated selective traits of Kirghiz sheep (KIR), we aim to uncover the mechanisms that contribute to sheep's adaptability to the Pamir Plateau environment. Methods This study utilized Illumina Ovine SNP50 BeadChip data from KIR residing in the Pamir Plateau, Qira Black sheep (QBS) inhabiting the Taklamakan Desert, and commonly introduced breeds including Dorper sheep (DOR), Suffolk sheep (SUF), and Hu sheep (HU). The data was analyzed using principal component analysis, phylogenetic analysis, population admixture analysis, kinship matrix analysis, linkage disequilibrium analysis, and selective signature analysis. We employed four methods for selective signature analysis: fixation index (Fst), cross-population extended homozygosity (XP-EHH), integrated haplotype score (iHS), and nucleotide diversity (Pi). These methods aim to uncover the genetic mechanisms underlying the germplasm resources of Kirghiz sheep, enhance their production traits, and explore their adaptation to challenging environmental conditions. Results The test results unveiled potential selective signals associated with adaptive traits and growth characteristics in sheep under harsh environmental conditions, and annotated the corresponding genes accordingly. These genes encompass various functionalities such as adaptations associated with plateau, cold, and arid environment (ETAA1, UBE3D, TLE4, NXPH1, MAT2B, PPARGC1A, VEGFA, TBX15 and PLXNA4), wool traits (LMO3, TRPS1, EPHA5), body size traits (PLXNA2, EFNA5), reproductive traits (PPP3CA, PDHA2, NTRK2), and immunity (GATA3). Conclusion Our study identified candidate genes associated with the production traits and adaptation to the harsh environment of the Pamir Plateau in Kirghiz sheep. These findings provide valuable resources for local sheep breeding programs. The objective of this study is to offer valuable insights for the sustainable development of the Kirghiz sheep industry.
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Affiliation(s)
- Ruizhi Yang
- College of Life Science and Technology, Tarim University, Alar, Xinjiang, China
| | - Zhipeng Han
- College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China
- Xinjiang Production and Construction Corps, Key Laboratory of Tarim Animal Husbandry Science and Technology, Alar, Xinjiang, China
| | - Wen Zhou
- College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China
- Xinjiang Production and Construction Corps, Key Laboratory of Tarim Animal Husbandry Science and Technology, Alar, Xinjiang, China
| | - Xuejiao Li
- College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China
| | - Xuechen Zhang
- College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China
- Xinjiang Production and Construction Corps, Key Laboratory of Tarim Animal Husbandry Science and Technology, Alar, Xinjiang, China
| | - Lijun Zhu
- College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China
- Xinjiang Production and Construction Corps, Key Laboratory of Tarim Animal Husbandry Science and Technology, Alar, Xinjiang, China
| | - Jieru Wang
- College of Life Science and Technology, Tarim University, Alar, Xinjiang, China
| | - Xiaopeng Li
- College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China
| | - Cheng-long Zhang
- College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China
| | - Yahui Han
- College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China
| | - Lianrui Li
- College of Life Science and Technology, Tarim University, Alar, Xinjiang, China
- College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China
- Xinjiang Production and Construction Corps, Key Laboratory of Tarim Animal Husbandry Science and Technology, Alar, Xinjiang, China
- Xinjiang Production and Construction Corps, Engineering Laboratory of Tarim Animal Diseases Diagnosis and Control, Alar, Xinjiang, China
| | - Shudong Liu
- College of Animal Science and Technology, Tarim University, Alar, Xinjiang, China
- Xinjiang Production and Construction Corps, Key Laboratory of Tarim Animal Husbandry Science and Technology, Alar, Xinjiang, China
- Xinjiang Production and Construction Corps, Engineering Laboratory of Tarim Animal Diseases Diagnosis and Control, Alar, Xinjiang, China
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2
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Li X, Zhu L, Zhang CL, Wang X, Li Y, Zhou W, Han Z, Yang R, Peng Y, Han Y, Zhang L, Zheng L, Liu S. Genetic structure and selective sweeps in Kirghiz sheep using SNP50K bead chip. Front Genet 2024; 15:1432105. [PMID: 39233740 PMCID: PMC11371558 DOI: 10.3389/fgene.2024.1432105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 08/01/2024] [Indexed: 09/06/2024] Open
Abstract
The objective of this study is to analyze environmental genetic selection signals in large-scale sheep populations with conflicting environmental adaptations, aiming to identify and isolate genes associated with environmental adaptations in sheep populations. Kirghiz sheep, which inhabit high-altitude environments year-round, demonstrate the ability to adapt to extreme conditions. In this study, 42 Kirghiz sheep, 24 Tien-Shan in Kyrgyzstan sheep, 189 Qira black sheep, and 160 Chinese Merino sheep were genotyped using Illumina Ovine SNP50K chip. Regions exhibiting a selection signal threshold of 5%, as well as PI analysis and haplotype statistical scanning gene data were annotated, and intersecting genes were identified as candidate genes. Through Fst and haplotype statistical analysis revealed the key gene PDGFD and its vicinity's impact on fat deposition in sheep tails. Additionally, Fst and PI analysis uncovered genes related to high-altitude adaptation as well as those linked to animal growth and reproduction.Further GO and KEGG enrichment pathway analyses unveiled pathways associated with high-altitude adaptation such as negative regulation of peptidyl-tyrosine phosphorylation and xenobiotic metabolism processes.This investigation into the adaptability of Kirghiz sheep provides theoretical support and practical guidance for the conservation and genetic enhancement of Kirghiz sheep germplasm resources.
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Affiliation(s)
- Xiaopeng Li
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Lijun Zhu
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Cheng-Long Zhang
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Xueyan Wang
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Yanhao Li
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Wen Zhou
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Zhipeng Han
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Ruizhi Yang
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Yuwei Peng
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Yahui Han
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Lulu Zhang
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Langman Zheng
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
| | - Shudong Liu
- College of Animal Science and Technology, Tarim University, Xinjiang, China
- Key Laboratory of Tarim Animal Husbandry Science and Technology, Xinjiang Production and Construction Corps, Xinjiang, China
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Xie K, Ning C, Yang A, Zhang Q, Wang D, Fan X. Resequencing Analyses Revealed Genetic Diversity and Selection Signatures during Rabbit Breeding and Improvement. Genes (Basel) 2024; 15:433. [PMID: 38674368 PMCID: PMC11049387 DOI: 10.3390/genes15040433] [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: 02/21/2024] [Revised: 03/23/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Domestication has shaped the diverse characteristics of rabbits, including coat color, fur structure, body size, and various physiological traits. Utilizing whole-genome resequencing (DNBSEQ-T7), we analyzed the genetic diversity, population structure, and genomic selection across 180 rabbits from 17 distinct breeds to uncover the genetic basis of these traits. We conducted whole-genome sequencing on 17 rabbit breeds, identifying 17,430,184 high-quality SNPs and analyzing genomic diversity, patterns of genomic variation, population structure, and selection signatures related to coat color, coat structure, long hair, body size, reproductive capacity, and disease resistance. Through PCA and NJ tree analyses, distinct clusters emerged among Chinese indigenous rabbits, suggesting varied origins and domestication histories. Selective sweep testing pinpointed regions and genes linked to domestication and key morphological and economic traits, including those affecting coat color (TYR, ASIP), structure (LIPH), body size (INSIG2, GLI3), fertility (EDNRA, SRD5A2), heat stress adaptation (PLCB1), and immune response (SEC31A, CD86, LAP3). Our study identified key genomic signatures of selection related to traits such as coat color, fur structure, body size, and fertility; these findings highlight the genetic basis underlying phenotypic diversification in rabbits and have implications for breeding programs aiming to improve productive, reproductive, and adaptive traits. The detected genomic signatures of selection also provide insights into rabbit domestication and can aid conservation efforts for indigenous breeds.
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Affiliation(s)
- Kerui Xie
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an 271018, China;
| | - Chao Ning
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (C.N.); (Q.Z.)
| | - Aiguo Yang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (C.N.); (Q.Z.)
| | - Qin Zhang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (C.N.); (Q.Z.)
| | - Dan Wang
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an 271018, China
| | - Xinzhong Fan
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an 271018, China;
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Hlongwane NL, Dzomba EF, Hadebe K, van der Nest MA, Pierneef R, Muchadeyi FC. Identification of Signatures of Positive Selection That Have Shaped the Genomic Landscape of South African Pig Populations. Animals (Basel) 2024; 14:236. [PMID: 38254405 PMCID: PMC10812692 DOI: 10.3390/ani14020236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/17/2023] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
South Africa boasts a diverse range of pig populations, encompassing intensively raised commercial breeds, as well as indigenous and village pigs reared under low-input production systems. The aim of this study was to investigate how natural and artificial selection have shaped the genomic landscape of South African pig populations sampled from different genetic backgrounds and production systems. For this purpose, the integrated haplotype score (iHS), as well as cross population extended haplotype homozygosity (XP-EHH) and Lewontin and Krakauer's extension of the Fst statistic based on haplotype information (HapFLK) were utilised. Our results revealed several population-specific signatures of selection associated with the different production systems. The importance of natural selection in village populations was highlighted, as the majority of genomic regions under selection were identified in these populations. Regions under natural and artificial selection causing the distinct genetic footprints of these populations also allow for the identification of genes and pathways that may influence production and adaptation. In the context of intensively raised commercial pig breeds (Large White, Kolbroek, and Windsnyer), the identified regions included quantitative loci (QTLs) associated with economically important traits. For example, meat and carcass QTLs were prevalent in all the populations, showing the potential of village and indigenous populations' ability to be managed and improved for such traits. Results of this study therefore increase our understanding of the intricate interplay between selection pressures, genomic adaptations, and desirable traits within South African pig populations.
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Affiliation(s)
- Nompilo L. Hlongwane
- Agricultural Research Council, Biotechnology Platform, Private Bag X5, Onderstepoort 0110, South Africa; (K.H.); (R.P.); (F.C.M.)
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville 3209, South Africa;
| | - Edgar F. Dzomba
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville 3209, South Africa;
| | - Khanyisile Hadebe
- Agricultural Research Council, Biotechnology Platform, Private Bag X5, Onderstepoort 0110, South Africa; (K.H.); (R.P.); (F.C.M.)
| | - Magriet A. van der Nest
- Agricultural Research Council, Biotechnology Platform, Private Bag X5, Onderstepoort 0110, South Africa; (K.H.); (R.P.); (F.C.M.)
- Hans Merensky Chair in Avocado Research, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria 0002, South Africa;
| | - Rian Pierneef
- Agricultural Research Council, Biotechnology Platform, Private Bag X5, Onderstepoort 0110, South Africa; (K.H.); (R.P.); (F.C.M.)
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0002, South Africa
| | - Farai C. Muchadeyi
- Agricultural Research Council, Biotechnology Platform, Private Bag X5, Onderstepoort 0110, South Africa; (K.H.); (R.P.); (F.C.M.)
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Atrian-Afiani F, Berger B, Draxl C, Sölkner J, Mészáros G. Selective Sweeps in the Austrian Turopolje and Other Commercial Pig Populations. Animals (Basel) 2023; 13:3749. [PMID: 38136787 PMCID: PMC10741191 DOI: 10.3390/ani13243749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/30/2023] [Accepted: 11/30/2023] [Indexed: 12/24/2023] Open
Abstract
The goal of our study was to identify signatures of selection in the Turopolje pigs and other commercial pig breeds. We conducted a comprehensive analysis of five datasets, including one local pig breed (Turopolje) and four commercial pig breeds (Large White, Landrace, Pietrain, and Duroc), using strict quality control measures. Our final dataset consisted of 485 individuals and 54,075 single nucleotide polymorphisms (SNPs). To detect selection signatures within these pig breeds, we utilized the XP-EHH and XP-nSL methodologies, which allowed us to identify candidate genes that have been subject to positive selection. Our analysis consistently highlighted the PTBP2 and DPYD genes as commonly targeted by selection in the Turopolje breed. DPYD is associated with muscular development in pigs and other species and PTBP2 emerges as one of the potential genes linked to seminal characteristics. Furthermore, in the Large White breed, a number of genes were detected with the two methods, such as ATP1A1, CASQ2, CD2, IGSF3, MAB21L3, NHLH2, SLC22A15, VANGL1. In the Duroc breed, a different set of genes was detected, such as ARSB, BHMT, BHMT2, DMGDH, JMY. The function of these genes was related to body weight, production efficiency and meat quality, average daily gain, and other similar traits. Overall, our results have identified a number of genomic regions that are under selective pressure between local and commercial pig breeds. This information can help to improve our understanding of the mechanisms underlying pig breeding, and ultimately contribute to the development of more efficient and sustainable pig production practices. Our study highlights the power of using multiple genomic methodologies to detect genetic signatures of selection, and provides important insights into the genetic diversity of pig breeds.
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Affiliation(s)
- Farzad Atrian-Afiani
- Institute of Livestock Sciences (NUWI), University of Natural Resources and Life Sciences, Vienna, 1180 Vienna, Austria; (F.A.-A.); (J.S.)
| | - Beate Berger
- Institut für Biologische Landwirtschaft und Biodiversität der Nutztiere, HBLFA Raumberg-Gumpenstein 2, 4600 Thalheim bei Wels, Austria;
| | - Christian Draxl
- Österreichische Schweineprüfanstalt GmbH, 2004 Streitdorf, Austria;
| | - Johann Sölkner
- Institute of Livestock Sciences (NUWI), University of Natural Resources and Life Sciences, Vienna, 1180 Vienna, Austria; (F.A.-A.); (J.S.)
| | - Gábor Mészáros
- Institute of Livestock Sciences (NUWI), University of Natural Resources and Life Sciences, Vienna, 1180 Vienna, Austria; (F.A.-A.); (J.S.)
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Velayudhan SM, Alam S, Yin T, Brügemann K, Buerkert A, Sejian V, Bhatta R, Schlecht E, König S. Selective Sweeps in Cattle Genomes in Response to the Influence of Urbanization and Environmental Contamination. Genes (Basel) 2023; 14:2083. [PMID: 38003026 PMCID: PMC10671461 DOI: 10.3390/genes14112083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
A genomic study was conducted to identify the effects of urbanization and environmental contaminants with heavy metals on selection footprints in dairy cattle populations reared in the megacity of Bengaluru, South India. Dairy cattle reared along the rural-urban interface of Bengaluru with/without access to roughage from public lakeshores were selected. The genotyped animals were subjected to the cross-population-extended haplotype homozygosity (XP-EHH) methodology to infer selection sweeps caused by urbanization (rural, mixed, and urban) and environmental contamination with cadmium and lead. We postulated that social-ecological challenges contribute to mechanisms of natural selection. A number of selection sweeps were identified when comparing the genomes of cattle located in rural, mixed, or urban regions. The largest effects were identified on BTA21, displaying pronounced peaks for selection sweeps for all three urbanization levels (urban_vs_rural, urban_vs_mixed and rural_vs_mixed). Selection sweeps are located in chromosomal segments in close proximity to the genes lrand rab interactor 3 (RIN3), solute carrier family 24 member 4 (SLC24A4), tetraspanin 3 (TSPAN3), and proline-serine-threonine phosphatase interacting protein 1 (PSTPIP1). Functional enrichment analyses of the selection sweeps for all three comparisons revealed a number of gene ontology (GO) and KEGG terms, which were associated with reproduction, metabolism, and cell signaling-related functional mechanisms. Likewise, a number of the chromosomal segments under selection were observed when creating cattle groups according to cadmium and lead contaminations. Stronger and more intense positive selection sweeps were observed for the cadmium contaminated group, i.e., signals of selection on BTA 16 and BTA19 in close proximity to genes regulating the somatotropic axis (growth factor receptor bound protein 2 (GRB2) and cell ion exchange (chloride voltage-gated channel 6 (CLCN6)). A few novel, so far uncharacterized genes, mostly with effects on immune physiology, were identified. The lead contaminated group revealed sweeps which were annotated with genes involved in carcass traits (TNNC2, SLC12A5, and GABRA4), milk yield (HTR1D, SLCO3A1, TEK, and OPCML), reproduction (GABRA4), hypoxia/stress response (OPRD1 and KDR), cell adhesion (PCDHGC3), inflammatory response (ADORA2A), and immune defense mechanism (ALCAM). Thus, the findings from this study provide a deeper insight into the genomic regions under selection under the effects of urbanization and environmental contamination.
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Affiliation(s)
| | - Shahin Alam
- Animal Husbandry in the Tropics and Subtropics, University of Kassel and Georg-August-Universität Göttingen, Steinstr. 19, 37213 Witzenhausen, Germany
| | - Tong Yin
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Ludwigstraße 21 b, 35390 Giessen, Germany
| | - Kerstin Brügemann
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Ludwigstraße 21 b, 35390 Giessen, Germany
| | - Andreas Buerkert
- Organic Plant Production and Agroecosystems Research in the Tropics and Subtropics, University of Kassel, 37213 Witzenhausen, Germany
| | - Veerasamy Sejian
- National Institute of Animal Nutrition and Physiology (NIANP), Hosur Rd, Chennakeshava Nagar, Adugodi, Bengaluru 560030, India
| | - Raghavendra Bhatta
- National Institute of Animal Nutrition and Physiology (NIANP), Hosur Rd, Chennakeshava Nagar, Adugodi, Bengaluru 560030, India
| | - Eva Schlecht
- Animal Husbandry in the Tropics and Subtropics, University of Kassel and Georg-August-Universität Göttingen, Steinstr. 19, 37213 Witzenhausen, Germany
| | - Sven König
- Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Ludwigstraße 21 b, 35390 Giessen, Germany
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Ben Jemaa S, Tolone M, Sardina MT, Di Gerlando R, Chessari G, Criscione A, Persichilli C, Portolano B, Mastrangelo S. A genome-wide comparison between selected and unselected Valle del Belice sheep reveals differences in population structure and footprints of recent selection. J Anim Breed Genet 2023; 140:558-567. [PMID: 37226373 DOI: 10.1111/jbg.12779] [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: 02/01/2023] [Revised: 05/05/2023] [Accepted: 05/11/2023] [Indexed: 05/26/2023]
Abstract
About three decades of breeding and selection in the Valle del Belìce sheep are expected to have left several genomic footprints related to milk production traits. In this study, we have assembled a dataset with 451 individuals of the Valle del Belìce sheep breed: 184 animals that underwent directional selection for milk production and 267 unselected animals, genotyped for 40,660 single-nucleotide polymorphisms (SNPs). Three different statistical approaches, both within (iHS and ROH) and between (Rsb) groups, were used to identify genomic regions potentially under selection. Population structure analyses separated all individuals according to their belonging to the two groups. A total of four genomic regions on two chromosomes were jointly identified by at least two statistical approaches. Several candidate genes for milk production were identified, corroborating the polygenic nature of this trait and which may provide clues to potential new selection targets. We also found candidate genes for growth and reproductive traits. Overall, the identified genes may explain the effect of selection to improve the performances related to milk production traits in the breed. Further studies using high-density array data, would be particularly relevant to refine and validate these results.
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Affiliation(s)
- Slim Ben Jemaa
- Laboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Ariana, Tunisia
| | - Marco Tolone
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Maria Teresa Sardina
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Rosalia Di Gerlando
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Giorgio Chessari
- Dipartimento Agricoltura, Alimentazione e Ambiente, University of Catania, Catania, Italy
| | - Andrea Criscione
- Dipartimento Agricoltura, Alimentazione e Ambiente, University of Catania, Catania, Italy
| | - Christian Persichilli
- Dipartimento di Agraria, Ambientale e Scienze dell'alimentazione, University of Molise, Campobasso, Italy
| | - Baldassare Portolano
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Salvatore Mastrangelo
- Dipartimento Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
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Mousavi SF, Razmkabir M, Rostamzadeh J, Seyedabadi HR, Naboulsi R, Petersen JL, Lindgren G. Genetic diversity and signatures of selection in four indigenous horse breeds of Iran. Heredity (Edinb) 2023:10.1038/s41437-023-00624-7. [PMID: 37308718 PMCID: PMC10382556 DOI: 10.1038/s41437-023-00624-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 05/03/2023] [Accepted: 05/03/2023] [Indexed: 06/14/2023] Open
Abstract
Indigenous Iranian horse breeds were evolutionarily affected by natural and artificial selection in distinct phylogeographic clades, which shaped their genomes in several unique ways. The aims of this study were to evaluate the genetic diversity and genomewide selection signatures in four indigenous Iranian horse breeds. We evaluated 169 horses from Caspian (n = 21), Turkmen (n = 29), Kurdish (n = 67), and Persian Arabian (n = 52) populations, using genomewide genotyping data. The contemporary effective population sizes were 59, 98, 102, and 113 for Turkmen, Caspian, Persian Arabian, and Kurdish breeds, respectively. By analysis of the population genetic structure, we classified the north breeds (Caspian and Turkmen) and west/southwest breeds (Persian Arabian and Kurdish) into two phylogeographic clades reflecting their geographic origin. Using the de-correlated composite of multiple selection signal statistics based on pairwise comparisons, we detected a different number of significant SNPs under putative selection from 13 to 28 for the six pairwise comparisons (FDR < 0.05). The identified SNPs under putative selection coincided with genes previously associated with known QTLs for morphological, adaptation, and fitness traits. Our results showed HMGA2 and LLPH as strong candidate genes for height variation between Caspian horses with a small size and the other studied breeds with a medium size. Using the results of studies on human height retrieved from the GWAS catalog, we suggested 38 new putative candidate genes under selection. These results provide a genomewide map of selection signatures in the studied breeds, which represent valuable information for formulating genetic conservation and improved breeding strategies for the breeds.
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Affiliation(s)
- Seyedeh Fatemeh Mousavi
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Mohammad Razmkabir
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran.
| | - Jalal Rostamzadeh
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran.
| | - Hamid-Reza Seyedabadi
- Animal Science Research Institute of Iran, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran
| | - Rakan Naboulsi
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institute, Tomtebodavägen 18A, 17177, Stockholm, Sweden
| | | | - Gabriella Lindgren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- Center for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, 3001, Leuven, Belgium.
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Capturing Genetic Diversity and Selection Signatures of the Endangered Kosovar Balusha Sheep Breed. Genes (Basel) 2022; 13:genes13050866. [PMID: 35627251 PMCID: PMC9140571 DOI: 10.3390/genes13050866] [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: 03/24/2022] [Revised: 04/23/2022] [Accepted: 05/09/2022] [Indexed: 11/17/2022] Open
Abstract
There is a growing concern about the loss of animal genetic resources. The aim of this study was to analyze the genetic diversity and potential peculiarity of the endangered Kosovar sheep breed Balusha. For this purpose, a dataset consisting of medium-density SNP chip genotypes (39,879 SNPs) from 45 Balusha sheep was generated and compared with SNP chip genotypes from 29 individuals of a second Kosovar breed, Bardhoka. Publicly available SNP genotypes from 39 individuals of the relatively closely located sheep breeds Istrian Pramenka and Ruda were additionally included in the analyses. Analysis of heterozygosity, allelic richness and effective population size was used to assess the genetic diversity. Inbreeding was evaluated using two different methods (FIS, FROH). The standardized FST (di) and cross-population extended haplotype homozygosity (XPEHH) methods were used to detect signatures of selection. We observed the lowest heterozygosity (HO = 0.351) and effective population size (Ne5 = 25, Ne50 = 228) for the Balusha breed. The mean allelic richness levels (1.780–1.876) across all analyzed breeds were similar and also comparable with those in worldwide breeds. FROH estimates (0.023–0.077) were highest for the Balusha population, although evidence of decreased inbreeding was observed in FIS results for the Balusha breed. Two Gene Ontology (GO) TERMs were strongly enriched for Balusha, and involved genes belonging to the melanogenesis and T cell receptor signaling pathways, respectively. This could result from selection for the special coat color pattern of Balusha (black head) and resistance to certain infectious diseases. The analyzed diversity parameters highlight the urgency to preserve the local Kosovar Balusha sheep as it is clearly distinguished from other sheep of Southeastern Europe, has the lowest diversity level and may harbor valuable genetic variants, e.g., for resistance to infectious diseases.
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Paim TDP, Alves dos Santos C, Faria DAD, Paiva SR, McManus C. Genomic selection signatures in Brazilian sheep breeds reared in a tropical environment. Livest Sci 2022. [DOI: 10.1016/j.livsci.2022.104865] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Passamonti MM, Somenzi E, Barbato M, Chillemi G, Colli L, Joost S, Milanesi M, Negrini R, Santini M, Vajana E, Williams JL, Ajmone-Marsan P. The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock. Animals (Basel) 2021; 11:2833. [PMID: 34679854 PMCID: PMC8532622 DOI: 10.3390/ani11102833] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/21/2021] [Accepted: 09/23/2021] [Indexed: 12/14/2022] Open
Abstract
Livestock radiated out from domestication centres to most regions of the world, gradually adapting to diverse environments, from very hot to sub-zero temperatures and from wet and humid conditions to deserts. The climate is changing; generally global temperature is increasing, although there are also more extreme cold periods, storms, and higher solar radiation. These changes impact livestock welfare and productivity. This review describes advances in the methodology for studying livestock genomes and the impact of the environment on animal production, giving examples of discoveries made. Sequencing livestock genomes has facilitated genome-wide association studies to localize genes controlling many traits, and population genetics has identified genomic regions under selection or introgressed from one breed into another to improve production or facilitate adaptation. Landscape genomics, which combines global positioning and genomics, has identified genomic features that enable animals to adapt to local environments. Combining the advances in genomics and methods for predicting changes in climate is generating an explosion of data which calls for innovations in the way big data sets are treated. Artificial intelligence and machine learning are now being used to study the interactions between the genome and the environment to identify historic effects on the genome and to model future scenarios.
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Affiliation(s)
- Matilde Maria Passamonti
- Department of Animal Science, Food and Nutrition—DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy; (M.M.P.); (E.S.); (M.B.); (L.C.); (R.N.); (J.L.W.)
| | - Elisa Somenzi
- Department of Animal Science, Food and Nutrition—DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy; (M.M.P.); (E.S.); (M.B.); (L.C.); (R.N.); (J.L.W.)
| | - Mario Barbato
- Department of Animal Science, Food and Nutrition—DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy; (M.M.P.); (E.S.); (M.B.); (L.C.); (R.N.); (J.L.W.)
| | - Giovanni Chillemi
- Department for Innovation in Biological, Agro-Food and Forest Systems–DIBAF, Università Della Tuscia, Via S. Camillo de Lellis snc, 01100 Viterbo, Italy; (G.C.); (M.M.)
| | - Licia Colli
- Department of Animal Science, Food and Nutrition—DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy; (M.M.P.); (E.S.); (M.B.); (L.C.); (R.N.); (J.L.W.)
- Research Center on Biodiversity and Ancient DNA—BioDNA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy
| | - Stéphane Joost
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland; (S.J.); (E.V.)
| | - Marco Milanesi
- Department for Innovation in Biological, Agro-Food and Forest Systems–DIBAF, Università Della Tuscia, Via S. Camillo de Lellis snc, 01100 Viterbo, Italy; (G.C.); (M.M.)
| | - Riccardo Negrini
- Department of Animal Science, Food and Nutrition—DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy; (M.M.P.); (E.S.); (M.B.); (L.C.); (R.N.); (J.L.W.)
| | - Monia Santini
- Impacts on Agriculture, Forests and Ecosystem Services (IAFES) Division, Fondazione Centro Euro-Mediterraneo Sui Cambiamenti Climatici (CMCC), Viale Trieste 127, 01100 Viterbo, Italy;
| | - Elia Vajana
- Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland; (S.J.); (E.V.)
| | - John Lewis Williams
- Department of Animal Science, Food and Nutrition—DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy; (M.M.P.); (E.S.); (M.B.); (L.C.); (R.N.); (J.L.W.)
| | - Paolo Ajmone-Marsan
- Department of Animal Science, Food and Nutrition—DIANA, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy; (M.M.P.); (E.S.); (M.B.); (L.C.); (R.N.); (J.L.W.)
- Nutrigenomics and Proteomics Research Center—PRONUTRIGEN, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy
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