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Poklukar K, Mestre C, Škrlep M, Čandek-Potokar M, Ovilo C, Fontanesi L, Riquet J, Bovo S, Schiavo G, Ribani A, Muñoz M, Gallo M, Bozzi R, Charneca R, Quintanilla R, Kušec G, Mercat MJ, Zimmer C, Razmaite V, Araujo JP, Radović Č, Savić R, Karolyi D, Servin B. A meta-analysis of genetic and phenotypic diversity of European local pig breeds reveals genomic regions associated with breed differentiation for production traits. Genet Sel Evol 2023; 55:88. [PMID: 38062367 PMCID: PMC10704730 DOI: 10.1186/s12711-023-00858-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 11/17/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Intense selection of modern pig breeds has resulted in genetic improvement of production traits while the performance of local pig breeds has remained lower. As local pig breeds have been bred in extensive systems, they have adapted to specific environmental conditions, resulting in a rich genotypic and phenotypic diversity. This study is based on European local pig breeds that have been genetically characterized using DNA-pool sequencing data and phenotypically characterized using breed level phenotypes related to stature, fatness, growth, and reproductive performance traits. These data were analyzed using a dedicated approach to detect signatures of selection linked to phenotypic traits in order to uncover potential candidate genes that may underlie adaptation to specific environments. RESULTS Analysis of the genetic data of European pig breeds revealed four main axes of genetic variation represented by the Iberian and three modern breeds (i.e. Large White, Landrace, and Duroc). In addition, breeds clustered according to their geographical origin, for example French Gascon and Basque breeds, Italian Apulo Calabrese and Casertana breeds, Spanish Iberian, and Portuguese Alentejano breeds. Principal component analysis of the phenotypic data distinguished the larger and leaner breeds with better growth potential and reproductive performance from the smaller and fatter breeds with low growth and reproductive efficiency. Linking the signatures of selection with phenotype identified 16 significant genomic regions associated with stature, 24 with fatness, 2 with growth, and 192 with reproduction. Among them, several regions contained candidate genes with possible biological effects on stature, fatness, growth, and reproductive performance traits. For example, strong associations were found for stature in two regions containing, respectively, the ANXA4 and ANTXR1 genes, for fatness in a region containing the DNMT3A and POMC genes and for reproductive performance in a region containing the HSD17B7 gene. CONCLUSIONS In this study on European local pig breeds, we used a dedicated approach for detecting signatures of selection that were supported by phenotypic data at the breed level to identify potential candidate genes that may have adapted to different living environments and production systems.
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Affiliation(s)
- Klavdija Poklukar
- Agricultural Institute of Slovenia, Hacquetova Ulica 17, 1000, Ljubljana, Slovenia
| | - Camille Mestre
- GenPhySE, Université de Toulouse, INRAE, INP, ENVT, 31320, Castanet-Tolosan, France
| | - Martin Škrlep
- Agricultural Institute of Slovenia, Hacquetova Ulica 17, 1000, Ljubljana, Slovenia
| | | | - Cristina Ovilo
- Departamento Mejora Genética Animal, INIA-CSIC, Crta. de la Coruña Km. 7,5, 28040, Madrid, Spain
| | - Luca Fontanesi
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - Juliette Riquet
- GenPhySE, Université de Toulouse, INRAE, INP, ENVT, 31320, Castanet-Tolosan, France
| | - Samuele Bovo
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - Giuseppina Schiavo
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - Anisa Ribani
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, 40127, Bologna, Italy
| | - Maria Muñoz
- Departamento Mejora Genética Animal, INIA-CSIC, Crta. de la Coruña Km. 7,5, 28040, Madrid, Spain
| | - Maurizio Gallo
- Associazione Nazionale Allevatori Suini (ANAS), Via Nizza 53, 00198, Rome, Italy
| | - Ricardo Bozzi
- DAGRI-Animal Science Section, Università Di Firenze, Via Delle Cascine 5, 50144, Florence, Italy
| | - Rui Charneca
- MED- Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Pólo da Mitra, Apartado 94, 7006-554, Évora, Portugal
| | - Raquel Quintanilla
- Programa de Genética y Mejora Animal, IRTA, Torre Marimon, Caldes de Montbui, 08140, Barcelona, Spain
| | - Goran Kušec
- Faculty of Agrobiotechnical Sciences, University of Osijek, Vladimira Preloga 1, 31000, Osijek, Croatia
| | - Marie-José Mercat
- IFIP Institut du Porc, La Motte au Vicomte, BP 35104, 35651, Le Rheu Cedex, France
| | - Christoph Zimmer
- Bauerliche Erzeugergemeinschaft Schwäbisch Hall, Haller Str. 20, 74549, Wolpertshausen, Germany
| | - Violeta Razmaite
- Animal Science Institute, Lithuanian University of Health Sciences, 82317, Baisogala, Lithuania
| | - Jose P Araujo
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Viana do Castelo, Escola Superior Agrária, Refóios do Lima, 4990-706, Ponte de Lima, Portugal
| | - Čedomir Radović
- Department of Pig Breeding and Genetics, Institute for Animal Husbandry, 11080, Belgrade-Zemun, Serbia
| | - Radomir Savić
- Faculty of Agriculture, University of Belgrade, Nemanjina 6, 11080, Belgrade-Zemun, Serbia
| | - Danijel Karolyi
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska c. 25, 10000, Zagreb, Croatia
| | - Bertrand Servin
- GenPhySE, Université de Toulouse, INRAE, INP, ENVT, 31320, Castanet-Tolosan, France.
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Bordonaro S, Chessari G, Mastrangelo S, Senczuk G, Chessa S, Castiglioni B, Tumino S, Marletta D, Criscione A. Genome-wide population structure, homozygosity, and heterozygosity patterns of Nero Siciliano pig in the framework of Italian and cosmopolitan breeds. Anim Genet 2023; 54:591-605. [PMID: 37381662 DOI: 10.1111/age.13344] [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: 06/13/2023] [Revised: 06/13/2023] [Accepted: 06/15/2023] [Indexed: 06/30/2023]
Abstract
Analysis of genomic data is becoming more and more common for the effective management of livestock breeding programmes, even in the case of local populations. In this work, the genome-wide data of Nero Siciliano pig breed were compared to that of wild boar, Italian local and cosmopolitan breeds to investigate its genetic structure, and runs of homozygosity (ROH) and heterozygosity patterns. The Nero Siciliano has been reported to have the highest rate of genetic diversity among the Italian breeds, and a genetic variability comparable to that of the cosmopolitan breeds. Analyses of genomic structure and relationships underlined its proximity to wild boar, and an internal substructure probably linked to different family lines. The breed showed a low value of inbreeding estimated from ROH, and the highest diversity index among the Italian breeds, even if lower than that of the cosmopolitans. Four ROH islands in three chromosomes (SSC8, SSC11, and SSC14) and one heterozygosity-rich region (SSC1) were identified in Nero Siciliano, highlighting genomic regions related to productive QTL. Across breeds, SSC8 and SSC14 were the chromosomes with most ROH islands, with Mora Romagnola and wild boar showing the highest level of autozygosity. Chromosomes SSC2, SSC6, SSC8 and SSC13 showed the majority of runs of heterozygosity regions, mainly found in the cosmopolitan pig breeds, which reported several genes associated with health-related QTL. The outlined results can help to better identify the genomic profile of this local breed in order to plan matings, maintain adequate internal diversity and exploit the production system.
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Affiliation(s)
- Salvatore Bordonaro
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Giorgio Chessari
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Salvatore Mastrangelo
- Dipartimento Scienze Agrarie, Alimentari e Forestali, Università di Palermo, Palermo, Italy
| | - Gabriele Senczuk
- Dipartimento di Agricoltura, Ambiente e Alimenti, Università del Molise, Campobasso, Italy
| | - Stefania Chessa
- Dipartimento di Scienze Veterinarie, Università di Torino, Torino, Italy
| | - Bianca Castiglioni
- Istituto di Biologia e Biotecnologia Agraria, National Research Council, Lodi, Italy
| | - Serena Tumino
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Donata Marletta
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Andrea Criscione
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
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3
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Suárez-Mesa R, Ros-Freixedes R, Laghouaouta H, Pena RN, Hernández-Ortiz B, Rondón-Barragán I, Estany J. Identification of breed-specific genomic variants in Colombian Creole pig breeds by whole-genome sequencing. Trop Anim Health Prod 2023; 55:154. [PMID: 37041265 PMCID: PMC10089996 DOI: 10.1007/s11250-023-03557-9] [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: 12/02/2022] [Accepted: 03/29/2023] [Indexed: 04/13/2023]
Abstract
Dissecting genetic variation of local breeds is important for the success of conservation. In this research, we investigated the genomic variation of Colombian Creole (CR) pigs, with a focus on the breed-specific variants in the exonic region of 34 genes with reported effects on adaptive and economic traits. Seven individuals of each of the three CR breeds (CM, Casco de Mula; SP, San Pedreño; and ZU, Zungo) were whole-genome sequenced along with 7 Iberian (IB) pigs and 7 pigs of each of the four most used cosmopolitan (CP) breeds (Duroc, Landrace × Large White, and Pietrain). Molecular variability in CR (6,451,218 variants; from 3,919,242, in SP, to 4,648,069, in CM) was comparable to that in CP, but higher than in IB. For the investigated genes, SP pigs displayed less exonic variants (178) than ZU (254), CM (263), IB (200), and the individual CP genetic types (201 to 335). Sequence variation in these genes confirmed the resemblance of CR to IB and indicates that CR pigs, particularly ZU and CM, are not exempt from selective introgression of other breeds. A total of 50 exonic variants were identified as being potentially specific to CR, including a high-impact deletion in the intron between exons 15 and 16 of the leptin receptor gene, which was only found in CM and ZU. The identification of breed-specific variants in genes related to adaptive and economical traits can bolster the understanding of the role of gene-environment interactions on local adaptation and points the way for effective breeding and conservation of CR pigs.
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Affiliation(s)
- Rafael Suárez-Mesa
- Department of Animal Science, University of Lleida Agrotecnio-CERCA Center, 191 Rovira Roure, 25198, Lleida, Catalonia, Spain.
- Research Group in Immunobiology and Pathogenesis, Faculty of Veterinary Medicine and Zootechnics, University of Tolima, Barrio Santa Helena Parte Alta, Ibagué, Colombia.
| | - Roger Ros-Freixedes
- Department of Animal Science, University of Lleida Agrotecnio-CERCA Center, 191 Rovira Roure, 25198, Lleida, Catalonia, Spain
| | - Houda Laghouaouta
- Department of Animal Science, University of Lleida Agrotecnio-CERCA Center, 191 Rovira Roure, 25198, Lleida, Catalonia, Spain
| | - Ramona N Pena
- Department of Animal Science, University of Lleida Agrotecnio-CERCA Center, 191 Rovira Roure, 25198, Lleida, Catalonia, Spain
| | - Byron Hernández-Ortiz
- Research and Innovation Group in Animal Health and Welfare Germplasm Animal Bank, Agrosavia, Bogotá, 250047, Colombia
| | - Iang Rondón-Barragán
- Research Group in Immunobiology and Pathogenesis, Faculty of Veterinary Medicine and Zootechnics, University of Tolima, Barrio Santa Helena Parte Alta, Ibagué, Colombia
| | - Joan Estany
- Department of Animal Science, University of Lleida Agrotecnio-CERCA Center, 191 Rovira Roure, 25198, Lleida, Catalonia, Spain.
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Addo S, Jung L. An insight into the runs of homozygosity distribution and breed differentiation in Mangalitsa pigs. Front Genet 2022; 13:909986. [DOI: 10.3389/fgene.2022.909986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 09/30/2022] [Indexed: 11/13/2022] Open
Abstract
Mangalitsa pigs exhibit three distinct coat color patterns based on which they are described as Red, Blond, and Swallow-bellied. The current study investigated genome-wide diversity and selection signatures in the three breeds using fixation index, runs of homozygosity and population structure analyses. The analyses were originally based on quality-controlled data on 77 Mangalitsa animals from Germany, including 23 Blond, 30 Swallow-bellied and 24 Red Mangalitsa genotyped with a customized version of the ProcineSNP60 v2 Genotyping Bead Chip. Also, 20 Hungarian Mangalitsa genotypes were included as outgroup data for comparison. Estimates of observed heterozygosity were 0.27, 0.28, and 0.29, and inbreeding coefficients estimated based on runs of homozygosity were 24.11%, 20.82%, and 16.34% for Blond, Swallow-bellied and Red Mangalitsa, respectively. ROH islands were detected in all breeds, however, none of these were shared amongst them. The KIF16B gene previously reported to play a role in synaptic signaling was found in a ROH island (SSC17: 16–26) in Swallow-bellied Mangalitsa. The same gene was found to harbor a significantly differentiated SNP (MARC0032380) while contrasting either Blond or Red to Swallow-belied Mangalitsa. In the Red Mangalitsa, some ROH islands were associated with genes that play a role in meat quality traits, i.e., ABCA12, VIL1, PLSCR5, and USP37. Our population structure analysis highlighted a separation of the three breeds, but also showed the closest relatedness between Red and Blond Mangalitsa pigs. Findings of this study improve our understanding of the diversity in the three breeds of Mangalitsa pigs.
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Assessing Genetic Diversity and Searching for Selection Signatures by Comparison between the Indigenous Livni and Duroc Breeds in Local Livestock of the Central Region of Russia. DIVERSITY 2022. [DOI: 10.3390/d14100859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Indigenous pig breeds are mainly associated with the adaptive capacity that is necessary to respond adequately to climate change, food security, and livelihood needs, and natural resources conservation. Livni pigs are an indigenous fat-type breed farmed in a single farm in the Orel region and located in the Central European part of the Russian Federation. To determine the genomic regions and genes that are affected by artificial selection, we conducted the comparative study of two pig breeds with different breeding histories and breeding objectives, i.e., the native fat-type Livni and meat-type Duroc breeds using the Porcine GGP HD BeadChip, which contains ~80,000 SNPs. To check the Livni pigs for possible admixture, the Landrace and the Large White breeds were included into the study of genetic diversity as these breeds participated in the formation of the Livni pigs. We observed the highest level of genetic diversity in Livni pigs compared to commercial breeds (UHE = 0.409 vs. 0.319–0.359, p < 0.001; AR = 1.995 vs. 1.894–1.964, p < 0.001). A slight excess of heterozygotes was found in all of the breeds. We identified 291 candidate genes, which were localized within the regions under putative selection, including 22 and 228 genes, which were specific for Livni and Duroc breeds, respectively, and 41 genes common for both breeds. A detailed analysis of the molecular functions identified the genes, which were related to the formation of meat and fat traits, and adaptation to environmental stress, including extreme temperatures, which were different between breeds. Our research results are useful for conservation and sustainable breeding of Livni breed, which shows a high level of genetic diversity. This makes Livni one of the valuable national pig genetic resources.
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Berghöfer J, Khaveh N, Mundlos S, Metzger J. Simultaneous testing of rule- and model-based approaches for runs of homozygosity detection opens up a window into genomic footprints of selection in pigs. BMC Genomics 2022; 23:564. [PMID: 35933356 PMCID: PMC9357325 DOI: 10.1186/s12864-022-08801-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Past selection events left footprints in the genome of domestic animals, which can be traced back by stretches of homozygous genotypes, designated as runs of homozygosity (ROHs). The analysis of common ROH regions within groups or populations displaying potential signatures of selection requires high-quality SNP data as well as carefully adjusted ROH-defining parameters. In this study, we used a simultaneous testing of rule- and model-based approaches to perform strategic ROH calling in genomic data from different pig populations to detect genomic regions under selection for specific phenotypes. RESULTS Our ROH analysis using a rule-based approach offered by PLINK, as well as a model-based approach run by RZooRoH demonstrated a high efficiency of both methods. It underlined the importance of providing a high-quality SNP set as input as well as adjusting parameters based on dataset and population for ROH calling. Particularly, ROHs ≤ 20 kb were called in a high frequency by both tools, but to some extent covered different gene sets in subsequent analysis of ROH regions common for investigated pig groups. Phenotype associated ROH analysis resulted in regions under potential selection characterizing heritage pig breeds, known to harbour a long-established breeding history. In particular, the selection focus on fitness-related traits was underlined by various ROHs harbouring disease resistance or tolerance-associated genes. Moreover, we identified potential selection signatures associated with ear morphology, which confirmed known candidate genes as well as uncovered a missense mutation in the ABCA6 gene potentially supporting ear cartilage formation. CONCLUSIONS The results of this study highlight the strengths and unique features of rule- and model-based approaches as well as demonstrate their potential for ROH analysis in animal populations. We provide a workflow for ROH detection, evaluating the major steps from filtering for high-quality SNP sets to intersecting ROH regions. Formula-based estimations defining ROHs for rule-based method show its limits, particularly for efficient detection of smaller ROHs. Moreover, we emphasize the role of ROH detection for the identification of potential footprints of selection in pigs, displaying their breed-specific characteristics or favourable phenotypes.
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Affiliation(s)
- Jan Berghöfer
- Research Group Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Department of Biology, Chemistry and Pharmacy, Institute of Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany
| | - Nadia Khaveh
- Research Group Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Stefan Mundlos
- Research Group Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Institute of Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Charité-Universitätsmedizin Berlin, BCRT, Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Julia Metzger
- Research Group Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany. .,Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Hannover, Germany.
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Rodriguez VR, Maffioly JI, Zdanovicz LA, Fabre RM, Barrandeguy ME, García MV, Lagadari M. Genetic diversity of meat quality related genes in Argentinean pigs. Vet Anim Sci 2022; 15:100237. [PMID: 35169654 PMCID: PMC8829130 DOI: 10.1016/j.vas.2022.100237] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Petrelli S, Buglione M, Maselli V, Troiano C, Larson G, Frantz L, Manin A, Ricca E, Baccigalupi L, Wright D, Pietri C, Fulgione D. Population genomic, olfactory, dietary, and gut microbiota analyses demonstrate the unique evolutionary trajectory of feral pigs. Mol Ecol 2021; 31:220-237. [PMID: 34676935 DOI: 10.1111/mec.16238] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 08/31/2021] [Accepted: 10/12/2021] [Indexed: 10/20/2022]
Abstract
Domestication is an intriguing evolutionary process. Many domestic populations are subjected to strong human-mediated selection, and when some individuals return to the wild, they are again subjected to selective forces associated with new environments. Generally, these feral populations evolve into something different from their wild predecessors and their members typically possess a combination of both wild and human selected traits. Feralisation can manifest in different forms on a spectrum from a wild to a domestic phenotype. This depends on how the rewilded domesticated populations can readapt to natural environments based on how much potential and flexibility the ancestral genome retains after its domestication signature. Whether feralisation leads to the evolution of new traits that do not exist in the wild or to convergence with wild forms, however, remains unclear. To address this question, we performed population genomic, olfactory, dietary, and gut microbiota analyses on different populations of Sus scrofa (wild boar, hybrid, feral and several domestic pig breeds). Porcine single nucleotide polymorphisms (SNPs) analysis shows that the feral population represents a cluster distinctly separate from all others. Its members display signatures of past artificial selection, as demonstrated by values of FST in specific regions of the genome and bottleneck signature, such as the number and length of runs of homozygosity. Generalised FST values, reacquired olfactory abilities, diet, and gut microbiota variation show current responses to natural selection. Our results suggest that feral pigs are an independent evolutionary unit which can persist so long as levels of human intervention remain unchanged.
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Affiliation(s)
- Simona Petrelli
- Department of Biology, University of Naples Federico II, Naples, Italy
| | - Maria Buglione
- Department of Biology, University of Naples Federico II, Naples, Italy
| | - Valeria Maselli
- Department of Biology, University of Naples Federico II, Naples, Italy
| | - Claudia Troiano
- Department of Humanities, University of Naples Federico II, Naples, Italy
| | - Greger Larson
- The Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Laurent Frantz
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Aurelie Manin
- The Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Ezio Ricca
- Department of Biology, University of Naples Federico II, Naples, Italy.,Task Force on Microbiome Studies, University of Naples Federico II, Napoli, Italy
| | - Loredana Baccigalupi
- Task Force on Microbiome Studies, University of Naples Federico II, Napoli, Italy.,Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy
| | - Dominic Wright
- IFM Biology, AVIAN Behavioural Genomics and Physiology Group, Linköping University, Linköping, Sweden
| | - Christian Pietri
- Fédération Départementale des Chasseurs de Haute-Corse (FDCHC), Résidence Nouvelle-Corniche, St Joseph, Bastia, France
| | - Domenico Fulgione
- Department of Biology, University of Naples Federico II, Naples, Italy.,Task Force on Microbiome Studies, University of Naples Federico II, Napoli, Italy
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Tracing selection signatures in the pig genome gives evidence for selective pressures on a unique curly hair phenotype in Mangalitza. Sci Rep 2020; 10:22142. [PMID: 33335158 PMCID: PMC7747725 DOI: 10.1038/s41598-020-79037-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/02/2020] [Indexed: 12/30/2022] Open
Abstract
Selection for desirable traits and breed-specific phenotypes has left distinctive footprints in the genome of pigs. As representative of a breed with strong selective traces aiming for robustness, health and performance, the Mangalitza pig, a native curly-haired pig breed from Hungary, was investigated in this study. Whole genome sequencing and SNP chip genotyping was performed to detect runs of homozygosity (ROH) in Mangalitza and Mangalitza-crossbreeds. We identified breed specific ROH regions harboring genes associated with the development of the curly hair type and further characteristics of this breed. Further analysis of two matings of Mangalitza with straight-coated pig breeds confirmed an autosomal dominant inheritance of curly hair. Subsequent scanning of the genome for variant effects on this trait revealed two variants potentially affecting hair follicle development and differentiation. Validation in a large sample set as well as in imputed SNP data confirmed these variants to be Mangalitza-specific. Herein, we demonstrated how strong artificial selection has shaped the genome in Mangalitza pigs and left traces in the form of selection signatures. This knowledge on genomic variation promoting unique phenotypes like curly hair provides an important resource for futures studies unraveling genetic effects for special characteristics in livestock.
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Sams AJ, Ford B, Gardner A, Boyko AR. Examination of the efficacy of small genetic panels in genomic conservation of companion animal populations. Evol Appl 2020; 13:2555-2565. [PMID: 33294008 PMCID: PMC7691451 DOI: 10.1111/eva.13038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 04/26/2020] [Accepted: 04/29/2020] [Indexed: 11/30/2022] Open
Abstract
In many ways, dogs are an ideal model for the study of genetic erosion and population recovery, problems of major concern in the field of conservation genetics. Genetic diversity in many dog breeds has been declining systematically since the beginning of the 1800s, when modern breeding practices came into fashion. As such, inbreeding in domestic dog breeds is substantial and widespread and has led to an increase in recessive deleterious mutations of high effect as well as general inbreeding depression. Pedigrees can in theory be used to guide breeding decisions, though are often incomplete and do not reflect the full history of inbreeding. Small microsatellite panels are also used in some cases to choose mating pairs to produce litters with low levels of inbreeding. However, the long-term impact of such practices has not been thoroughly evaluated. Here, we use forward simulation on a model of the dog genome to examine the impact of using limited marker panels to guide pairwise mating decisions on genome-wide population-level genetic diversity. Our results suggest that in unmanaged populations, where breeding decisions are made at the pairwise-rather than population-level, such panels can lead to accelerated loss of genetic diversity at genome regions unlinked to panel markers, compared to random mating. These results demonstrate the importance of genome-wide genetic panels for managing and conserving genetic diversity in dogs and other companion animals.
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Affiliation(s)
| | - Brett Ford
- Embark Veterinary, IncorporatedBostonMAUSA
| | | | - Adam R. Boyko
- Embark Veterinary, IncorporatedBostonMAUSA
- Department of Biomedical SciencesCollege of Veterinary MedicineCornell UniversityIthacaNYUSA
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Poklukar K, Čandek-Potokar M, Batorek Lukač N, Tomažin U, Škrlep M. Lipid Deposition and Metabolism in Local and Modern Pig Breeds: A Review. Animals (Basel) 2020; 10:E424. [PMID: 32138208 PMCID: PMC7142902 DOI: 10.3390/ani10030424] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 02/28/2020] [Accepted: 02/29/2020] [Indexed: 12/25/2022] Open
Abstract
Modern pig breeds, which have been genetically improved to achieve fast growth and a lean meat deposition, differ from local pig breeds with respect to fat deposition, fat specific metabolic characteristics and various other properties. The present review aimed to elucidate the mechanisms underlying the differences between fatty local and modern lean pig breeds in adipose tissue deposition and lipid metabolism, taking into consideration morphological, cellular, biochemical, transcriptomic and proteomic perspectives. Compared to modern breeds, local pig breeds accumulate larger amounts of fat, which generally contains more monounsaturated and saturated fatty acids; they exhibit a higher adipocyte size and higher activity of lipogenic enzymes. Studies using transcriptomic and proteomic approaches highlighted several processes like immune response, fatty-acid turn-over, oxidoreductase activity, mitochondrial function, etc. which differ between local and modern pig breeds.
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Affiliation(s)
- Klavdija Poklukar
- Agricultural Institute of Slovenia, Ljubljana SI-1000, Slovenia; (K.P.); (M.Č.-P.); (N.B.L.); (U.T.)
| | - Marjeta Čandek-Potokar
- Agricultural Institute of Slovenia, Ljubljana SI-1000, Slovenia; (K.P.); (M.Č.-P.); (N.B.L.); (U.T.)
- University of Maribor, Faculty of Agriculture and Life Sciences, Hoče SI-2311, Slovenia
| | - Nina Batorek Lukač
- Agricultural Institute of Slovenia, Ljubljana SI-1000, Slovenia; (K.P.); (M.Č.-P.); (N.B.L.); (U.T.)
| | - Urška Tomažin
- Agricultural Institute of Slovenia, Ljubljana SI-1000, Slovenia; (K.P.); (M.Č.-P.); (N.B.L.); (U.T.)
| | - Martin Škrlep
- Agricultural Institute of Slovenia, Ljubljana SI-1000, Slovenia; (K.P.); (M.Č.-P.); (N.B.L.); (U.T.)
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12
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D'Alessandro E, Giosa D, Sapienza I, Giuffrè L, Cigliano RA, Romeo O, Zumbo A. Whole genome SNPs discovery in Nero Siciliano pig. Genet Mol Biol 2019; 42:594-602. [PMID: 31188930 PMCID: PMC6905442 DOI: 10.1590/1678-4685-gmb-2018-0169] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 01/04/2019] [Indexed: 11/24/2022] Open
Abstract
Autochthonous pig breeds represent an important genetic reserve to be utilized mainly for the production of typical products. To explore its genetic variability, here we present for the first time whole genome sequencing data and SNPs discovered in a male domestic Nero Siciliano pig compared to the last pig reference genome Sus scrofa11.1.A total of 346.8 million paired reads were generated by sequencing. After quality control, 99.03% of the reads were mapped to the reference genome, and over 11 million variants were detected.Additionally, we evaluated sequence diversity in 21 fitness-related loci selected based on their biological function and/or their proximity to relevant QTLs. We focused on genes that have been related to environmental adaptation and reproductive traits in previous studies regarding local breeds. A total of 6,747 variants were identified resulting in a rate of 1 variant every ~276 bases. Among these variants 1,132 were novel to the dbSNP151 database. This study represents a first step in the genetic characterization of Nero Siciliano pig and also provides a platform for future comparative studies between this and other swine breeds.
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Affiliation(s)
- Enrico D'Alessandro
- Department of Veterinary Sciences, Division of Animal Production, University of Messina, Messina, Italy
| | - Domenico Giosa
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy
| | - Irene Sapienza
- Department of Veterinary Sciences, Division of Animal Production, University of Messina, Messina, Italy
| | - Letterio Giuffrè
- Department of Veterinary Sciences, Division of Animal Production, University of Messina, Messina, Italy
| | | | - Orazio Romeo
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.,Scientific Institute for Research, Hospitalization and Health Care (IRCCS) - Centro Neurolesi "Bonino-Pulejo", Messina, Italy
| | - Alessandro Zumbo
- Department of Veterinary Sciences, Division of Animal Production, University of Messina, Messina, Italy
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13
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Hulsegge I, Calus M, Hoving-Bolink R, Lopes M, Megens HJ, Oldenbroek K. Impact of merging commercial breeding lines on the genetic diversity of Landrace pigs. Genet Sel Evol 2019; 51:60. [PMID: 31664893 PMCID: PMC6819590 DOI: 10.1186/s12711-019-0502-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 10/16/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The pig breeding industry has undergone a large number of mergers in the past decades. Various commercial lines were merged or discontinued, which is expected to reduce the genetic diversity of the pig species. The objective of the current study was to investigate the genetic diversity of different former Dutch Landrace breeding lines and quantify their relationship with the current Dutch Landrace breed that originated from these lines. RESULTS Principal component analysis clearly divided the former Landrace lines into two main clusters, which are represented by Norwegian/Finnish Landrace lines and Dutch Landrace lines. Structure analysis revealed that each of the lines that are present in the Dutch Gene bank has a unique genetic identity. The current Dutch Landrace breed shows a high level of admixture and is closely related to the six former lines. The Dumeco N-line, which is conserved in the Dutch Gene bank, is poorly represented in the current Dutch Landrace. All seven lines (the six former and the current line) contribute almost equally to the genetic diversity of the Dutch Landrace breed. As expected, the current Dutch Landrace breed comprises only a small proportion of unique genetic diversity that was not present in the other lines. The genetic diversity level, as measured by Eding's core set method, was equal to 0.89 for the current Dutch Landrace breed, whereas total genetic diversity across the seven lines, measured by the same method, was equal to 0.99. CONCLUSIONS The current Dutch Landrace breed shows a high level of admixture and is closely related to the six former Dutch Landrace lines. Merging of commercial Landrace lines has reduced the genetic diversity of the Landrace population in the Netherlands, although a large proportion of the original variation is maintained. Thus, our recommendation is to conserve breeding lines in a gene bank before they are merged.
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Affiliation(s)
- Ina Hulsegge
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands
- Centre for Genetic Resources, the Netherlands, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands
| | - Mario Calus
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands
| | - Rita Hoving-Bolink
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands
- Centre for Genetic Resources, the Netherlands, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands
| | - Marcos Lopes
- Topigs Norsvin Research Center, P.O. Box 43, 6640 AA Beuningen, The Netherlands
- Topigs Norsvin, Curitiba, PR 80420-210 Brazil
| | - Hendrik-Jan Megens
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands
| | - Kor Oldenbroek
- Centre for Genetic Resources, the Netherlands, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands
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14
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Upadhyay M, Eriksson S, Mikko S, Strandberg E, Stålhammar H, Groenen MAM, Crooijmans RPMA, Andersson G, Johansson AM. Genomic relatedness and diversity of Swedish native cattle breeds. Genet Sel Evol 2019; 51:56. [PMID: 31578144 PMCID: PMC6775670 DOI: 10.1186/s12711-019-0496-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 09/13/2019] [Indexed: 01/03/2023] Open
Abstract
Background Native cattle breeds are important genetic resources given their adaptation to the local environment in which they are bred. However, the widespread use of commercial cattle breeds has resulted in a marked reduction in population size of several native cattle breeds worldwide. Therefore, conservation management of native cattle breeds requires urgent attention to avoid their extinction. To this end, we genotyped nine Swedish native cattle breeds with genome-wide 150 K single nucleotide polymorphisms (SNPs) to investigate the level of genetic diversity and relatedness between these breeds. Results We used various SNP-based approaches on this dataset to connect the demographic history with the genetic diversity and population structure of these Swedish cattle breeds. Our results suggest that the Väne and Ringamåla breeds originating from southern Sweden have experienced population isolation and have a low genetic diversity, whereas the Fjäll breed has a large founder population and a relatively high genetic diversity. Based on the shared ancestry and the constructed phylogenetic trees, we identified two major clusters in Swedish native cattle. In the first cluster, which includes Swedish mountain cattle breeds, there was little differentiation among the Fjäll, Fjällnära, Swedish Polled, and Bohus Polled breeds. The second cluster consists of breeds from southern Sweden: Väne, Ringamåla and Swedish Red. Interestingly, we also identified sub-structuring in the Fjällnära breed, which indicates different breeding practices on the farms that maintain this breed. Conclusions This study represents the first comprehensive genome-wide analysis of the genetic relatedness and diversity in Swedish native cattle breeds. Our results show that different demographic patterns such as genetic isolation and cross-breeding have shaped the genomic diversity of Swedish native cattle breeds and that the Swedish mountain breeds have retained their authentic distinct gene pool without significant contribution from any of the other European cattle breeds that were included in this study.
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Affiliation(s)
- Maulik Upadhyay
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.,Animal Breeding and Genomics, Wageningen University & Research, Wageningen, The Netherlands
| | - Susanne Eriksson
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
| | - Sofia Mikko
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Erling Strandberg
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | | | - Martien A M Groenen
- Animal Breeding and Genomics, Wageningen University & Research, Wageningen, The Netherlands
| | | | - Göran Andersson
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Anna M Johansson
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
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15
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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: 55] [Impact Index Per Article: 11.0] [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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16
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Wang L, Mu Y, Xu L, Li K, Han J, Wu T, Liu L, Gao Q, Xia Y, Hou G, Yang S, He X, Liu GE, Feng S. Genomic Analysis Reveals Specific Patterns of Homozygosity and Heterozygosity in Inbred Pigs. Animals (Basel) 2019; 9:E314. [PMID: 31159442 PMCID: PMC6617223 DOI: 10.3390/ani9060314] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 05/27/2019] [Accepted: 05/28/2019] [Indexed: 11/29/2022] Open
Abstract
The inbred strain of miniature pig is an ideal model for biomedical research due to its high level of homozygosity. In this study, we investigated genetic diversity, relatedness, homozygosity, and heterozygosity using the Porcine SNP60K BeadChip in both inbred and non-inbred Wuzhishan pigs (WZSPs). Our results from multidimensional scaling, admixture, and phylogenetic analyses indicated that the inbred WZSP, with its unique genetic properties, can be utilized as a novel genetic resource for pig genome studies. Inbreeding depression and run of homozygosity (ROH) analyses revealed an average of 61 and 12 ROH regions in the inbred and non-inbred genomes of WZSPs, respectively. By investigating ROH number, length, and distribution across generations, we further briefly studied the impacts of recombination and demography on ROH in these WZSPs. Finally, we explored the SNPs with higher heterozygosity across generations and their potential functional implications in the inbred WZSP. We detected 56 SNPs showing constant heterozygosity with He = 1 across six generations in inbred pigs, while only one was found in the non-inbred population. Among these SNPs, we observed nine SNPs located in swine RefSeq genes, which were found to be involved in signaling and immune processes. Together, our findings indicate that the inbred-specific pattern of homozygosity and heterozygosity in inbred pigs can offer valuable insights for elucidating the mechanisms of inbreeding in farm animals.
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Affiliation(s)
- Ligang Wang
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - Yulian Mu
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - Linyang Xu
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - Kui Li
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - Jianlin Han
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - Tianwen Wu
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - Lan Liu
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - Qian Gao
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - Ying Xia
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - Guanyu Hou
- Institute of Tropical Crop Variety Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571101, China.
| | - Shulin Yang
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - Xiaohong He
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
| | - George E Liu
- Animal Genomics and Improvement Laboratory, U.S. Department of Agriculture-Agricultural Research Services, Beltsville, MD 20705, USA.
| | - Shutang Feng
- Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, China.
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17
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Assessing Sus scrofa diversity among continental United States, and Pacific islands populations using molecular markers from a gene banks collection. Sci Rep 2019; 9:3173. [PMID: 30816173 PMCID: PMC6395668 DOI: 10.1038/s41598-019-39309-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 01/07/2019] [Indexed: 11/11/2022] Open
Abstract
Human migration and trade facilitated domesticated livestock movement, gene flow and development of diverse populations upon which agriculture is based. In addition, varying USA ecological conditions has led to a diverse set of livestock populations to utilize. Quantifying genetic diversity of these populations is incomplete. This paper quantifies genetic diversity captured by the National Animal Germplasm Program and explores genetic structure and differences among 19 pig populations (feral populations from Pacific islands, continental US, and Chinese breeds) using 70,231 SNP from 500 animal samples. Among continental US breeds Fis was consistently low suggesting genetic variability is sufficiently available for breeders to use. A unique population structure using principal component analysis illustrated clear distinctions between Duroc, Yorkshire, Hampshire, breeds of Chinese origin, and feral Pacific Island populations were identified. Five Y chromosome haplotypes were evaluated and demonstrated migration patterns from European, central Asia, and potentially Polynesian waves of gene flow. Quantifying diversity and potential origin of Pacific populations provides insight for future uses, and the need for preservation. Viewing gene bank holdings in context of diversity measures we found a lack of inbreeding within breeds, suggesting the collection represents a wide sampling of individual breeds.
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18
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Bosse M, Megens H, Derks MFL, de Cara ÁMR, Groenen MAM. Deleterious alleles in the context of domestication, inbreeding, and selection. Evol Appl 2019; 12:6-17. [PMID: 30622631 PMCID: PMC6304688 DOI: 10.1111/eva.12691] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 05/30/2018] [Accepted: 06/12/2018] [Indexed: 12/21/2022] Open
Abstract
Each individual has a certain number of harmful mutations in its genome. These mutations can lower the fitness of the individual carrying them, dependent on their dominance and selection coefficient. Effective population size, selection, and admixture are known to affect the occurrence of such mutations in a population. The relative roles of demography and selection are a key in understanding the process of adaptation. These are factors that are potentially influenced and confounded in domestic animals. Here, we hypothesize that the series of events of bottlenecks, introgression, and strong artificial selection associated with domestication increased mutational load in domestic species. Yet, mutational load is hard to quantify, so there are very few studies available revealing the relevance of evolutionary processes. The precise role of artificial selection, bottlenecks, and introgression in further increasing the load of deleterious variants in animals in breeding and conservation programmes remains unclear. In this paper, we review the effects of domestication and selection on mutational load in domestic species. Moreover, we test some hypotheses on higher mutational load due to domestication and selective sweeps using sequence data from commercial pig and chicken lines. Overall, we argue that domestication by itself is not a prerequisite for genetic erosion, indicating that fitness potential does not need to decline. Rather, mutational load in domestic species can be influenced by many factors, but consistent or strong trends are not yet clear. However, methods emerging from molecular genetics allow discrimination of hypotheses about the determinants of mutational load, such as effective population size, inbreeding, and selection, in domestic systems. These findings make us rethink the effect of our current breeding schemes on fitness of populations.
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Affiliation(s)
- Mirte Bosse
- Animal Breeding and GenomicsWageningen University & ResearchWageningenThe Netherlands
| | - Hendrik‐Jan Megens
- Animal Breeding and GenomicsWageningen University & ResearchWageningenThe Netherlands
| | - Martijn F. L. Derks
- Animal Breeding and GenomicsWageningen University & ResearchWageningenThe Netherlands
| | - Ángeles M. R. de Cara
- Centre d’Ecologie Fonctionnelle et EvolutiveCNRSUniversité de MontpellierUniversité Paul Valéry Montpellier 3EPHE, IRDMontpellierFrance
| | - Martien A. M. Groenen
- Animal Breeding and GenomicsWageningen University & ResearchWageningenThe Netherlands
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19
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A genome scan for selection signatures in Taihu pig breeds using next-generation sequencing. Animal 2018; 13:683-693. [PMID: 29987993 DOI: 10.1017/s1751731118001714] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Taihu pig breeds are the most prolific breeds of swine in the world, and they also have superior economic traits, including high resistance to disease, superior meat quality, high resistance to crude feed and a docile temperament. The formation of these phenotypic characteristics is largely a result of long-term artificial or natural selection. Therefore, exploring selection signatures in the genomes of the Taihu pigs will help us to identify porcine genes related to productivity traits, disease and behaviour. In this study, we used both intra-population (Relative Extend Haplotype Homozygosity Test (REHH)) and inter-population (the Cross-Population Extend Haplotype Homozygosity Test (XPEHH); F-STATISTICS, F ST ) methods to detect genomic regions that might be under selection process in Taihu pig breeds. As a result, we found 282 (REHH) and 112 (XPEHH) selection signature candidate regions corresponding to 159.78 Mb (6.15%) and 62.29 Mb (2.40%) genomic regions, respectively. Further investigations of the selection candidate regions revealed that many genes under these genomic regions were related to reproductive traits (such as the TLR9 gene), coat colour (such as the KIT gene) and fat metabolism (such as the CPT1A and MAML3 genes). Furthermore, gene enrichment analyses showed that genes under the selection candidate regions were significantly over-represented in pathways related to diseases, such as autoimmune thyroid and asthma diseases. In conclusion, several candidate genes potentially under positive selection were involved in characteristics of Taihu pig. These results will further allow us to better understand the mechanisms of selection in pig breeding.
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20
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Malomane DK, Reimer C, Weigend S, Weigend A, Sharifi AR, Simianer H. Efficiency of different strategies to mitigate ascertainment bias when using SNP panels in diversity studies. BMC Genomics 2018; 19:22. [PMID: 29304727 PMCID: PMC5756397 DOI: 10.1186/s12864-017-4416-9] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 12/22/2017] [Indexed: 12/30/2022] Open
Abstract
Background Single nucleotide polymorphism (SNP) panels have been widely used to study genomic variations within and between populations. Methods of SNP discovery have been a matter of debate for their potential of introducing ascertainment bias, and genetic diversity results obtained from the SNP genotype data can be misleading. We used a total of 42 chicken populations where both individual genotyped array data and pool whole genome resequencing (WGS) data were available. We compared allele frequency distributions and genetic diversity measures (expected heterozygosity (He), fixation index (FST) values, genetic distances and principal components analysis (PCA)) between the two data types. With the array data, we applied different filtering options (SNPs polymorphic in samples of two Gallus gallus wild populations, linkage disequilibrium (LD) based pruning and minor allele frequency (MAF) filtering, and combinations thereof) to assess their potential to mitigate the ascertainment bias. Results Rare SNPs were underrepresented in the array data. Array data consistently overestimated He compared to WGS data, however, with a similar ranking of the breeds, as demonstrated by Spearman’s rank correlations ranging between 0.956 and 0.985. LD based pruning resulted in a reduced overestimation of He compared to the other filters and slightly improved the relationship with the WGS results. The raw array data and those with polymorphic SNPs in the wild samples underestimated pairwise FST values between breeds which had low FST (<0.15) in the WGS, and overestimated this parameter for high WGS FST (>0.15). LD based pruned data underestimated FST in a consistent manner. The genetic distance matrix from LD pruned data was more closely related to that of WGS than the other array versions. PCA was rather robust in all array versions, since the population structure on the PCA plot was generally well captured in comparison to the WGS data. Conclusions Among the tested filtering strategies, LD based pruning was found to account for the effects of ascertainment bias in the relatively best way, producing results which are most comparable to those obtained from WGS data and therefore is recommended for practical use. Electronic supplementary material The online version of this article (doi: 10.1186/s12864-017-4416-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Dorcus Kholofelo Malomane
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany.
| | - Christian Reimer
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
| | - Steffen Weigend
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Höltystraße 10, 31535, Neustadt, Germany
| | - Annett Weigend
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Höltystraße 10, 31535, Neustadt, Germany
| | - Ahmad Reza Sharifi
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
| | - Henner Simianer
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, Albrecht-Thaer-Weg 3, 37075, Goettingen, Germany
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21
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Gutiérrez-Gil B, Esteban-Blanco C, Wiener P, Chitneedi PK, Suarez-Vega A, Arranz JJ. High-resolution analysis of selection sweeps identified between fine-wool Merino and coarse-wool Churra sheep breeds. Genet Sel Evol 2017; 49:81. [PMID: 29115919 PMCID: PMC5674817 DOI: 10.1186/s12711-017-0354-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 10/19/2017] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND With the aim of identifying selection signals in three Merino sheep lines that are highly specialized for fine wool production (Australian Industry Merino, Australian Merino and Australian Poll Merino) and considering that these lines have been subjected to selection not only for wool traits but also for growth and carcass traits and parasite resistance, we contrasted the OvineSNP50 BeadChip (50 K-chip) pooled genotypes of these Merino lines with the genotypes of a coarse-wool breed, phylogenetically related breed, Spanish Churra dairy sheep. Genome re-sequencing datasets of the two breeds were analyzed to further explore the genetic variation of the regions initially identified as putative selection signals. RESULTS Based on the 50 K-chip genotypes, we used the overlapping selection signals (SS) identified by four selection sweep mapping analyses (that detect genetic differentiation, reduced heterozygosity and patterns of haplotype diversity) to define 18 convergence candidate regions (CCR), five associated with positive selection in Australian Merino and the remainder indicating positive selection in Churra. Subsequent analysis of whole-genome sequences from 15 Churra and 13 Merino samples identified 142,400 genetic variants (139,745 bi-allelic SNPs and 2655 indels) within the 18 defined CCR. Annotation of 1291 variants that were significantly associated with breed identity between Churra and Merino samples identified 257 intragenic variants that caused 296 functional annotation variants, 275 of which were located across 31 coding genes. Among these, four synonymous and four missense variants (NPR2_His847Arg, NCAPG_Ser585Phe, LCORL_Asp1214Glu and LCORL_Ile1441Leu) were included. CONCLUSIONS Here, we report the mapping and genetic variation of 18 selection signatures that were identified between Australian Merino and Spanish Churra sheep breeds, which were validated by an additional contrast between Spanish Merino and Churra genotypes. Analysis of whole-genome sequencing datasets allowed us to identify divergent variants that may be viewed as candidates involved in the phenotypic differences for wool, growth and meat production/quality traits between the breeds analyzed. The four missense variants located in the NPR2, NCAPG and LCORL genes may be related to selection sweep regions previously identified and various QTL reported in sheep in relation to growth traits and carcass composition.
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Affiliation(s)
- Beatriz Gutiérrez-Gil
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, León, 24071 Spain
| | - Cristina Esteban-Blanco
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, León, 24071 Spain
- Fundación Centro Supercomputación de Castilla y León, Campus de Vegazana, León, 24071 Spain
| | - Pamela Wiener
- Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG UK
| | - Praveen Krishna Chitneedi
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, León, 24071 Spain
| | - Aroa Suarez-Vega
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, León, 24071 Spain
| | - Juan-Jose Arranz
- Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Campus de Vegazana s/n, León, 24071 Spain
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22
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Roura E, Fu M. Taste, nutrient sensing and feed intake in pigs (130 years of research: then, now and future). Anim Feed Sci Technol 2017. [DOI: 10.1016/j.anifeedsci.2017.08.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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23
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Highly Variable Genomic Landscape of Endogenous Retroviruses in the C57BL/6J Inbred Strain, Depending on Individual Mouse, Gender, Organ Type, and Organ Location. Int J Genomics 2017; 2017:3152410. [PMID: 28951865 PMCID: PMC5603323 DOI: 10.1155/2017/3152410] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 06/16/2017] [Accepted: 07/03/2017] [Indexed: 11/17/2022] Open
Abstract
Transposable repetitive elements, named the "TREome," represent ~40% of the mouse genome. We postulate that the germ line genome undergoes temporal and spatial diversification into somatic genomes in conjunction with the TREome activity. C57BL/6J inbred mice were subjected to genomic landscape analyses using a TREome probe from murine leukemia virus-type endogenous retroviruses (MLV-ERVs). None shared the same MLV-ERV landscape within each comparison group: (1) sperm and 18 tissues from one mouse, (2) six brain compartments from two females, (3) spleen and thymus samples from four age groups, (4) three spatial tissue sets from two females, and (5) kidney and liver samples from three females and three males. Interestingly, males had more genomic MLV-ERV copies than females; moreover, only in the males, the kidneys had higher MLV-ERV copies than the livers. Perhaps, the mouse-, gender-, and tissue/cell-dependent MLV-ERV landscapes are linked to the individual-specific and dynamic phenotypes of the C57BL/6J inbred population.
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24
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Yang B, Cui L, Perez-Enciso M, Traspov A, Crooijmans RPMA, Zinovieva N, Schook LB, Archibald A, Gatphayak K, Knorr C, Triantafyllidis A, Alexandri P, Semiadi G, Hanotte O, Dias D, Dovč P, Uimari P, Iacolina L, Scandura M, Groenen MAM, Huang L, Megens HJ. Genome-wide SNP data unveils the globalization of domesticated pigs. Genet Sel Evol 2017; 49:71. [PMID: 28934946 PMCID: PMC5609043 DOI: 10.1186/s12711-017-0345-y] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 08/31/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Pigs were domesticated independently in Eastern and Western Eurasia early during the agricultural revolution, and have since been transported and traded across the globe. Here, we present a worldwide survey on 60K genome-wide single nucleotide polymorphism (SNP) data for 2093 pigs, including 1839 domestic pigs representing 122 local and commercial breeds, 215 wild boars, and 39 out-group suids, from Asia, Europe, America, Oceania and Africa. The aim of this study was to infer global patterns in pig domestication and diversity related to demography, migration, and selection. RESULTS A deep phylogeographic division reflects the dichotomy between early domestication centers. In the core Eastern and Western domestication regions, Chinese pigs show differentiation between breeds due to geographic isolation, whereas this is less pronounced in European pigs. The inferred European origin of pigs in the Americas, Africa, and Australia reflects European expansion during the sixteenth to nineteenth centuries. Human-mediated introgression, which is due, in particular, to importing Chinese pigs into the UK during the eighteenth and nineteenth centuries, played an important role in the formation of modern pig breeds. Inbreeding levels vary markedly between populations, from almost no runs of homozygosity (ROH) in a number of Asian wild boar populations, to up to 20% of the genome covered by ROH in a number of Southern European breeds. Commercial populations show moderate ROH statistics. For domesticated pigs and wild boars in Asia and Europe, we identified highly differentiated loci that include candidate genes related to muscle and body development, central nervous system, reproduction, and energy balance, which are putatively under artificial selection. CONCLUSIONS Key events related to domestication, dispersal, and mixing of pigs from different regions are reflected in the 60K SNP data, including the globalization that has recently become full circle since Chinese pig breeders in the past decades started selecting Western breeds to improve local Chinese pigs. Furthermore, signatures of ongoing and past selection, acting at different times and on different genetic backgrounds, enhance our insight in the mechanism of domestication and selection. The global diversity statistics presented here highlight concerns for maintaining agrodiversity, but also provide a necessary framework for directing genetic conservation.
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Affiliation(s)
- Bin Yang
- National Key Laboratory for Pig Genetic Improvement and Production Technology, Nanchang, China
| | - Leilei Cui
- National Key Laboratory for Pig Genetic Improvement and Production Technology, Nanchang, China
| | - Miguel Perez-Enciso
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB Consortium, Bellaterra, Barcelona Spain
- Institut Catala de Recerca i Estudis Avancats (ICREA), Carrer de Lluís Companys, Barcelona, Spain
| | - Aleksei Traspov
- All-Russian Research Institute of Animal Husbandry named after Academy Member L.K. Ernst, Dubrovitzy, Moscow Region Russia
| | | | - Natalia Zinovieva
- All-Russian Research Institute of Animal Husbandry named after Academy Member L.K. Ernst, Dubrovitzy, Moscow Region Russia
| | - Lawrence B. Schook
- Institute of Genomic Biology, University of Illinois, Urbana, Champaign, IL USA
| | - Alan Archibald
- Division of Genetics and Genomics, The Roslin Institute, R(D)SVS, University of Edinburgh, Edinburgh, UK
| | - Kesinee Gatphayak
- Animal and Aquatic Sciences, Chiang Mai University, Chiang Mai, Thailand
| | - Christophe Knorr
- Division of Biotechnology and Reproduction of Livestock, Department of Animal Sciences, Georg-August-University, Göttingen, Germany
| | - Alex Triantafyllidis
- Department of Genetics, Development and Molecular Biology, Aristotle University of Thessaloníki, Thessaloniki, Greece
| | - Panoraia Alexandri
- Department of Genetics, Development and Molecular Biology, Aristotle University of Thessaloníki, Thessaloniki, Greece
| | - Gono Semiadi
- Research Centre for Biology- Zoology Division, LIPI, Bogor, Indonesia
| | - Olivier Hanotte
- School of Biology, University of Nottingham, Notttingham, UK
| | - Deodália Dias
- Faculdade de Ciências and CESAM, Universidade de Lisboa, Lisbon, Portugal
| | - Peter Dovč
- Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Pekka Uimari
- Animal Breeding, Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland
| | - Laura Iacolina
- Department of Chemistry and Bioscience, Aalborg University, Aalborg East, Denmark
- Department of Science for Nature and Environmental Resources, University of Sassari, Sassari, Italy
| | - Massimo Scandura
- Department of Science for Nature and Environmental Resources, University of Sassari, Sassari, Italy
| | | | - Lusheng Huang
- National Key Laboratory for Pig Genetic Improvement and Production Technology, Nanchang, China
| | - Hendrik-Jan Megens
- Animal Breeding and Genomics, Wageningen University, Wageningen, The Netherlands
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25
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Abstract
Sake yeast was developed exclusively in Japan. Its diversification during breeding remains largely uncharacterized. To evaluate the breeding processes of the sake lineage, we thoroughly investigated the phenotypes and differentiation of 27 sake yeast strains using high-dimensional, single-cell, morphological phenotyping. Although the genetic diversity of the sake yeast lineage is relatively low, its morphological diversity has expanded substantially compared to that of the Saccharomycescerevisiae species as a whole. Evaluation of the different types of breeding processes showed that the generation of hybrids (crossbreeding) has more profound effects on cell morphology than the isolation of mutants (mutation breeding). Analysis of phenotypic robustness revealed that some sake yeast strains are more morphologically heterogeneous, possibly due to impairment of cellular network hubs. This study provides a new perspective for studying yeast breeding genetics and micro-organism breeding strategies.
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Howard JT, Tiezzi F, Huang Y, Gray KA, Maltecca C. Characterization and management of long runs of homozygosity in parental nucleus lines and their associated crossbred progeny. Genet Sel Evol 2016; 48:91. [PMID: 27884108 PMCID: PMC5123398 DOI: 10.1186/s12711-016-0269-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Accepted: 11/10/2016] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND In nucleus populations, regions of the genome that have a high frequency of runs of homozygosity (ROH) occur and are associated with a reduction in genetic diversity, as well as adverse effects on fitness. It is currently unclear whether, and to what extent, ROH stretches persist in the crossbred genome and how genomic management in the nucleus population might impact low diversity regions and its implications on the crossbred genome. METHODS We calculated a ROH statistic based on lengths of 5 (ROH5) or 10 (ROH10) Mb across the genome for genotyped Landrace (LA), Large White (LW) and Duroc (DU) dams. We simulated crossbred dam (LA × LW) and market [DU × (LA × LW)] animal genotypes based on observed parental genotypes and the ROH frequency was tabulated. We conducted a simulation using observed genotypes to determine the impact of minimizing parental relationships on multiple diversity metrics within nucleus herds, i.e. pedigree-(A), SNP-by-SNP relationship matrix or ROH relationship matrix. Genome-wide metrics included, pedigree inbreeding, heterozygosity and proportion of the genome in ROH of at least 5 Mb. Lastly, the genome was split into bins of increasing ROH5 frequency and, within each bin, heterozygosity, ROH5 and length (Mb) of ROH were evaluated. RESULTS We detected regions showing high frequencies of either ROH5 and/or ROH10 across both LW and LA on SSC1, SSC4, and SSC14, and across all breeds on SSC9. Long haplotypes were shared across parental breeds and thus, regions of ROH persisted in crossbred animals. Averaged across replicates and breeds, progeny had higher levels of heterozygosity (0.0056 ± 0.002%) and lower proportion of the genome in a ROH of at least 5 Mb (-0.015 ± 0.003%) than their parental genomes when genomic relationships were constrained, while pedigree relationships resulted in negligible differences at the genomic level. Across all breeds, only genomic data was able to target low diversity regions. CONCLUSIONS We show that long stretches of ROH present in the parents persist in crossbred animals. Furthermore, compared to using pedigree relationships, using genomic information to constrain parental relationships resulted in maintaining more genetic diversity and more effectively targeted low diversity regions.
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Affiliation(s)
- Jeremy T Howard
- Department of Animal Science, North Carolina State University, Raleigh, NC, 27695-7627, USA.
| | - Francesco Tiezzi
- Department of Animal Science, North Carolina State University, Raleigh, NC, 27695-7627, USA
| | - Yijian Huang
- Smithfield Premium Genetics, Rose Hill, NC, 28458, USA
| | - Kent A Gray
- Smithfield Premium Genetics, Rose Hill, NC, 28458, USA
| | - Christian Maltecca
- Department of Animal Science, North Carolina State University, Raleigh, NC, 27695-7627, USA.,Genetics Program, North Carolina State University, Raleigh, NC, 27695-7627, USA
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27
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Abstract
The present review examines the pig as a model for physiological studies in human subjects related to nutrient sensing, appetite regulation, gut barrier function, intestinal microbiota and nutritional neuroscience. The nutrient-sensing mechanisms regarding acids (sour), carbohydrates (sweet), glutamic acid (umami) and fatty acids are conserved between humans and pigs. In contrast, pigs show limited perception of high-intensity sweeteners and NaCl and sense a wider array of amino acids than humans. Differences on bitter taste may reflect the adaptation to ecosystems. In relation to appetite regulation, plasma concentrations of cholecystokinin and glucagon-like peptide-1 are similar in pigs and humans, while peptide YY in pigs is ten to twenty times higher and ghrelin two to five times lower than in humans. Pigs are an excellent model for human studies for vagal nerve function related to the hormonal regulation of food intake. Similarly, the study of gut barrier functions reveals conserved defence mechanisms between the two species particularly in functional permeability. However, human data are scant for some of the defence systems and nutritional programming. The pig model has been valuable for studying the changes in human microbiota following nutritional interventions. In particular, the use of human flora-associated pigs is a useful model for infants, but the long-term stability of the implanted human microbiota in pigs remains to be investigated. The similarity of the pig and human brain anatomy and development is paradigmatic. Brain explorations and therapies described in pig, when compared with available human data, highlight their value in nutritional neuroscience, particularly regarding functional neuroimaging techniques.
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28
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Menéndez J, Goyache F, Beja-Pereira A, Fernández I, Menéndez-Arias NA, Godinho R, Álvarez I. Genetic characterisation of the endangered Gochu Asturcelta pig breed using microsatellite and mitochondrial markers: Insights for the composition of the Iberian native pig stock. Livest Sci 2016. [DOI: 10.1016/j.livsci.2016.03.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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29
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Conservation priorities of Iberoamerican pig breeds and their ancestors based on microsatellite information. Heredity (Edinb) 2016; 117:14-24. [PMID: 27025169 DOI: 10.1038/hdy.2016.21] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Revised: 01/22/2016] [Accepted: 02/02/2016] [Indexed: 01/17/2023] Open
Abstract
Criollo pig breeds are descendants from pigs brought to the American continent starting with Columbus second trip in 1493. Pigs currently play a key role in social economy and community cultural identity in Latin America. The aim of this study was to establish conservation priorities among a comprehensive group of Criollo pig breeds based on a set of 24 microsatellite markers and using different criteria. Spain and Portugal pig breeds, wild boar populations of different European geographic origins and commercial pig breeds were included in the analysis as potential genetic influences in the development of Criollo pig breeds. Different methods, differing in the weight given to within- and between-breed genetic variability, were used in order to estimate the contribution of each breed to global genetic diversity. As expected, the partial contribution to total heterozygosity gave high priority to Criollo pig breeds, whereas Weitzman procedures prioritized Iberian Peninsula breeds. With the combined within- and between-breed approaches, different conservation priorities were achieved. The Core Set methodologies highly prioritized Criollo pig breeds (Cr. Boliviano, Cr. Pacifico, Cr. Cubano and Cr. Guadalupe). However, weighing the between- and within-breed components with FST and 1-FST, respectively, resulted in higher contributions of Iberian breeds. In spite of the different conservation priorities according to the methodology used, other factors in addition to genetic information also need to be considered in conservation programmes, such as the economic, cultural or historical value of the breeds involved.
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30
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Traspov A, Deng W, Kostyunina O, Ji J, Shatokhin K, Lugovoy S, Zinovieva N, Yang B, Huang L. Population structure and genome characterization of local pig breeds in Russia, Belorussia, Kazakhstan and Ukraine. Genet Sel Evol 2016; 48:16. [PMID: 26932452 PMCID: PMC4772533 DOI: 10.1186/s12711-016-0196-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Accepted: 02/20/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND It is generally accepted that domestication of pigs took place in multiple locations across Eurasia; the breeds that originated in Europe and Asia have been well studied. However, the genetic structure of pig breeds from Russia, Belorussia, Kazakhstan and Ukraine, which represent large geographical areas and diverse climatic zones in Eurasia, remains largely unknown. RESULTS This study provides the first genomic survey of 170 pigs representing 13 breeds from Russia, Belorussia, Kazakhstan and Ukraine; 288 pigs from six Chinese and seven European breeds were also included for comparison. Our findings show that the 13 novel breeds tested derived mainly from European pigs through the complex admixture of Large White, Landrace, Duroc, Hampshire and other breeds, and that they display no geographic structure based on genetic distance. We also found a considerable Asian contribution to the miniature Siberian pigs (Minisib breed) from Russia. Apart from the Minisib, Urzhum, Ukrainian Spotted Steppe and Ukrainian White Steppe breeds, which may have undergone intensive inbreeding, the breeds included in this study showed relatively high genetic diversity and low levels of homozygosity compared to the Chinese indigenous pig breeds. CONCLUSIONS This study provides the first genomic overview of the population structure and genetic diversity of 13 representative pig breeds from Russia, Belorussia, Kazakhstan and Ukraine; this information will be useful for the preservation and management of these breeds.
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Affiliation(s)
- Aleksei Traspov
- L.K. Ernst Institute for Animal Husbandry, Dubrovitzy 60, Podolsk district, Moscow region, Russia, 142132.
| | - Wenjiang Deng
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China.
| | - Olga Kostyunina
- L.K. Ernst Institute for Animal Husbandry, Dubrovitzy 60, Podolsk district, Moscow region, Russia, 142132.
| | - Jiuxiu Ji
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China.
| | - Kirill Shatokhin
- Siberian Research Institute for Animal Husbandry, Russian Agricultural Academy, Novosibirsk, Russia, 63050.
| | - Sergey Lugovoy
- Mykolayiv National Agrarian University, 9, Paryzka Komuna Str., Mykolayiv, 54020, Ukraine.
| | - Natalia Zinovieva
- L.K. Ernst Institute for Animal Husbandry, Dubrovitzy 60, Podolsk district, Moscow region, Russia, 142132.
| | - Bin Yang
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China.
| | - Lusheng Huang
- National Key Laboratory for Swine Genetics, Breeding and Production Technology, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China.
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31
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Frantz L, Meijaard E, Gongora J, Haile J, Groenen MA, Larson G. The Evolution of Suidae. Annu Rev Anim Biosci 2016; 4:61-85. [DOI: 10.1146/annurev-animal-021815-111155] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Laurent Frantz
- Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford OX1 3QY, United Kingdom;
| | - Erik Meijaard
- IUCN/SSC Wild Pig Specialist Group, Jakarta 15412, Indonesia
- School of Archaeology and Anthropology, The Australian National University, Canberra, ACT 0200, Australia
| | - Jaime Gongora
- Faculty of Veterinary Science, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - James Haile
- Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford OX1 3QY, United Kingdom;
| | - Martien A.M. Groenen
- Animal Breeding and Genomics Centre, Wageningen University, 6708 PB Wageningen, The Netherlands
| | - Greger Larson
- Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford OX1 3QY, United Kingdom;
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Abstract
Naturally endemic infectious diseases provide selective pressures for pig populations. Toll-like receptors (TLRs) represent the first line of immune defense against pathogens and are likely to play a crucial adaptive role for pig populations. This study was done to determine whether wild and domestic pig populations representing diverse global environments demonstrate local TLR adaptation. The genomic sequence encoding the ectodomain, responsible for interacting with pathogen ligands of bacterial (TLR1, TLR2 and TLR6) and viral (TLR3, TLR7 and TLR8) receptors, was obtained. Mitochondrial D-loop region sequences were obtained and a phylogenetic analysis using these sequences revealed a clear separation of animals into Asian (n = 27) and European (n = 40) clades. The TLR sequences were then analyzed for population-specific positive selection signatures within wild boars and domesticated pig populations derived from Asian and European clades. Using within-population and between-population tests for positive selection, a TLR2-derived variant 376A (126Thr), estimated to have arisen in 163,000 years ago with a frequency of 83.33 % within European wild boars, 98.00 % within domestic pig breeds of European origin, 40.00 % within Asian wild boars, and 11.36 % within Asian domestic pigs, was identified to be under positive selection in pigs of European origin. The variant is located within the N terminal domain of the TLR2 protein 3D crystal structure and could affect ligand binding. This study suggests the TLR2 gene contributing to responses to bacterial pathogens has been crucial in adaptation of pigs to pathogens.
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Bruford MW, Ginja C, Hoffmann I, Joost S, Orozco-terWengel P, Alberto FJ, Amaral AJ, Barbato M, Biscarini F, Colli L, Costa M, Curik I, Duruz S, Ferenčaković M, Fischer D, Fitak R, Groeneveld LF, Hall SJG, Hanotte O, Hassan FU, Helsen P, Iacolina L, Kantanen J, Leempoel K, Lenstra JA, Ajmone-Marsan P, Masembe C, Megens HJ, Miele M, Neuditschko M, Nicolazzi EL, Pompanon F, Roosen J, Sevane N, Smetko A, Štambuk A, Streeter I, Stucki S, Supakorn C, Telo Da Gama L, Tixier-Boichard M, Wegmann D, Zhan X. Prospects and challenges for the conservation of farm animal genomic resources, 2015-2025. Front Genet 2015; 6:314. [PMID: 26539210 PMCID: PMC4612686 DOI: 10.3389/fgene.2015.00314] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2015] [Accepted: 10/05/2015] [Indexed: 12/20/2022] Open
Abstract
Livestock conservation practice is changing rapidly in light of policy developments, climate change and diversifying market demands. The last decade has seen a step change in technology and analytical approaches available to define, manage and conserve Farm Animal Genomic Resources (FAnGR). However, these rapid changes pose challenges for FAnGR conservation in terms of technological continuity, analytical capacity and integrative methodologies needed to fully exploit new, multidimensional data. The final conference of the ESF Genomic Resources program aimed to address these interdisciplinary problems in an attempt to contribute to the agenda for research and policy development directions during the coming decade. By 2020, according to the Convention on Biodiversity's Aichi Target 13, signatories should ensure that “…the genetic diversity of …farmed and domesticated animals and of wild relatives …is maintained, and strategies have been developed and implemented for minimizing genetic erosion and safeguarding their genetic diversity.” However, the real extent of genetic erosion is very difficult to measure using current data. Therefore, this challenging target demands better coverage, understanding and utilization of genomic and environmental data, the development of optimized ways to integrate these data with social and other sciences and policy analysis to enable more flexible, evidence-based models to underpin FAnGR conservation. At the conference, we attempted to identify the most important problems for effective livestock genomic resource conservation during the next decade. Twenty priority questions were identified that could be broadly categorized into challenges related to methodology, analytical approaches, data management and conservation. It should be acknowledged here that while the focus of our meeting was predominantly around genetics, genomics and animal science, many of the practical challenges facing conservation of genomic resources are societal in origin and are predicated on the value (e.g., socio-economic and cultural) of these resources to farmers, rural communities and society as a whole. The overall conclusion is that despite the fact that the livestock sector has been relatively well-organized in the application of genetic methodologies to date, there is still a large gap between the current state-of-the-art in the use of tools to characterize genomic resources and its application to many non-commercial and local breeds, hampering the consistent utilization of genetic and genomic data as indicators of genetic erosion and diversity. The livestock genomic sector therefore needs to make a concerted effort in the coming decade to enable to the democratization of the powerful tools that are now at its disposal, and to ensure that they are applied in the context of breed conservation as well as development.
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Affiliation(s)
- Michael W Bruford
- School of Biosciences, Cardiff University Cardiff, UK ; Sustainable Places Research Institute, Cardiff University Cardiff, UK
| | - Catarina Ginja
- Faculdade de Ciências, Centro de Ecologia, Evolução e Alterações Ambientais (CE3C), Universidade de Lisboa Lisboa, Portugal ; Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO-InBIO), Universidade do Porto, Campus Agrário de Vairão Portugal
| | - Irene Hoffmann
- Food and Agriculture Organization of the United Nations, Animal Genetic Resources Branch, Animal Production and Health Division Rome, Italy
| | - Stéphane Joost
- Laboratory of Geographic Information Systems (LASIG), School of Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland
| | | | - Florian J Alberto
- Laboratoire d'Ecologie Alpine, Université Grenoble Alpes Grenoble, France
| | - Andreia J Amaral
- Faculty of Sciences, BioISI- Biosystems and Integrative Sciences Institute, University of Lisbon Campo Grande, Portugal
| | - Mario Barbato
- School of Biosciences, Cardiff University Cardiff, UK
| | | | - Licia Colli
- BioDNA Centro di Ricerca sulla Biodiversità a sul DNA Antico, Istituto di Zootecnica, Università Cattolica del Sacro Cuore di Piacenza Italy
| | - Mafalda Costa
- School of Biosciences, Cardiff University Cardiff, UK
| | - Ino Curik
- Faculty of Agriculture, University of Zagreb Zagreb, Croatia
| | - Solange Duruz
- Laboratory of Geographic Information Systems (LASIG), School of Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland
| | | | - Daniel Fischer
- Natural Resources Institute Finland (Luke), Green Technology Jokioinen, Finland
| | - Robert Fitak
- Institut für Populationsgenetik Vetmeduni, Vienna, Austria
| | | | | | - Olivier Hanotte
- School of Life Sciences, University of Nottingham Nottingham, UK
| | - Faiz-Ul Hassan
- School of Life Sciences, University of Nottingham Nottingham, UK ; Department of Animal Breeding and Genetics, University of Agriculture Faisalabad, Pakistan
| | - Philippe Helsen
- Centre for Research and Conservation, Royal Zoological Society of Antwerp Antwerp, Belgium
| | - Laura Iacolina
- Department of Chemistry and Bioscience, Aalborg University Aalborg, Denmark
| | - Juha Kantanen
- Natural Resources Institute Finland (Luke), Green Technology Jokioinen, Finland ; Department of Biology, University of Eastern Finland Kuopio, Finland
| | - Kevin Leempoel
- Laboratory of Geographic Information Systems (LASIG), School of Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland
| | | | - Paolo Ajmone-Marsan
- BioDNA Centro di Ricerca sulla Biodiversità a sul DNA Antico, Istituto di Zootecnica, Università Cattolica del Sacro Cuore di Piacenza Italy
| | - Charles Masembe
- Institute of the Environment and Natural Resources, Makerere University Kampala, Uganda
| | - Hendrik-Jan Megens
- Animal Breeding and Genomics Centre, Wageningen University Wageningen, Netherlands
| | - Mara Miele
- School of Planning and Geography, Cardiff University Cardiff, UK
| | | | | | - François Pompanon
- Laboratoire d'Ecologie Alpine, Université Grenoble Alpes Grenoble, France
| | - Jutta Roosen
- TUM School of Management, Technische Universität München Munich, Germany
| | - Natalia Sevane
- Department of Animal Production, Veterinary Faculty, Universidad Complutense de Madrid Madrid, Spain
| | | | - Anamaria Štambuk
- Department of Biology, Faculty of Science, University of Zagreb Zagreb, Croatia
| | - Ian Streeter
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus Hinxton, Cambridge, UK
| | - Sylvie Stucki
- Laboratory of Geographic Information Systems (LASIG), School of Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland
| | - China Supakorn
- School of Life Sciences, University of Nottingham Nottingham, UK ; School of Agricultural Technology, Walailak University Tha Sala, Thailand
| | - Luis Telo Da Gama
- Centre of Research in Animal Health (CIISA) - Faculty of Veterinary Medicine, University of Lisbon Lisbon, Portugal
| | | | - Daniel Wegmann
- Department of Biology, University of Fribourg Fribourg, Switzerland
| | - Xiangjiang Zhan
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences Beijing, China ; Cardiff University - Institute of Zoology, Joint Laboratory for Biocomplexity Research Beijing, China
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Schachtschneider KM, Madsen O, Park C, Rund LA, Groenen MAM, Schook LB. Adult porcine genome-wide DNA methylation patterns support pigs as a biomedical model. BMC Genomics 2015; 16:743. [PMID: 26438392 PMCID: PMC4594891 DOI: 10.1186/s12864-015-1938-x] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Accepted: 09/19/2015] [Indexed: 12/13/2022] Open
Abstract
Background Pigs (Sus scrofa) provide relevant biomedical models to dissect complex diseases due to their anatomical, genetic, and physiological similarities with humans. Aberrant DNA methylation has been linked to many of these diseases and is associated with gene expression; however, the functional similarities and differences between porcine and human DNA methylation patterns are largely unknown. Methods DNA and RNA was isolated from eight tissue samples (fat, heart, kidney, liver, lung, lymph node, muscle, and spleen) from the adult female Duroc utilized for the pig genome sequencing project. Reduced representation bisulfite sequencing (RRBS) and RNA-seq were performed on an Illumina HiSeq2000. RRBS reads were aligned using BSseeker2, and only sites with a minimum depth of 10 reads were used for methylation analysis. RNA-seq reads were aligned using Tophat, and expression analysis was performed using Cufflinks. In addition, SNP calling was performed using GATK for targeted control and whole genome sequencing reads for CpG site validation and allelic expression analysis, respectively. Results Analysis on the influence of DNA variation in methylation calling revealed a reduced effectiveness of WGS datasets in covering CpG rich regions, as well as the usefulness of a targeted control library for SNP detection. Analysis of over 500,000 CpG sites demonstrated genome wide methylation patterns similar to those observed in humans, including reduced methylation within CpG islands and at transcription start sites (TSS), X chromosome inactivation, and anticorrelation of TSS CpG methylation with gene expression. In addition, a positive correlation between TSS CpG density and expression, and a negative correlation between TSS TpG density and expression were demonstrated. Low but non-random non-CpG methylation (<1%) was also detected in all non-neuronal somatic tissues, with differences in tissue clustering observed based on CpG and non-CpG methylation patterns. Finally, allele specific expression analysis revealed enrichment of genes involved in metabolic and regulatory processes. Discussion These results provide transcriptional and DNA methylation datasets for the biomedical community that are directly relatable to current genomic resources. In addition, the correlation between TSS CpG density and expression suggests increased mutation rates at CpG sites play a significant role in adaptive evolution by reducing CpG density at TSS over time, resulting in higher methylation levels in these regions and more permanent changes to lower gene expression. This is proposed to occur predominantly through deamination of 5-methylcytosine to thymidine, resulting in the replacement of CpG with TpG sites in these regions, as indicated by the increased TSS TpG density observed in non-expressed genes, resulting in a negative correlation between expression and TSS TpG density. Conclusions This study provides baseline methylation and gene transcription profiles for a healthy adult pig, reports similar patterns to those observed in humans, and supports future porcine studies related to human disease and development. Additionally, the observed reduced CpG and increased TpG density at TSS of lowly expressed genes suggests DNA methylation plays a significant role in adaptive evolution through more permanent changes to lower gene expression. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1938-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kyle M Schachtschneider
- Department of Animal Sciences, University of Illinois, Urbana, IL, USA. .,Animal Breeding and Genomics Center, Wageningen University, Wageningen, The Netherlands.
| | - Ole Madsen
- Animal Breeding and Genomics Center, Wageningen University, Wageningen, The Netherlands.
| | - Chankyu Park
- Department of Animal Biotechnology, Konkuk University, Gwangjin-gu, Seoul, South Korea.
| | - Laurie A Rund
- Department of Animal Sciences, University of Illinois, Urbana, IL, USA.
| | - Martien A M Groenen
- Animal Breeding and Genomics Center, Wageningen University, Wageningen, The Netherlands.
| | - Lawrence B Schook
- Department of Animal Sciences, University of Illinois, Urbana, IL, USA. .,Institute for Genomic Biology, University of Illinois, Urbana, IL, USA. .,, 1201 W Gregory Drive #382 ERML, Urbana, IL, 61801, USA.
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Exome Capture with Heterologous Enrichment in Pig (Sus scrofa). PLoS One 2015; 10:e0139328. [PMID: 26431395 PMCID: PMC4592256 DOI: 10.1371/journal.pone.0139328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Accepted: 09/11/2015] [Indexed: 12/26/2022] Open
Abstract
The discovery of new protein-coding DNA variants related to carcass traits is very important for the Italian pig industry, which requires heavy pigs with higher thickness of subcutaneous fat for Protected Designation of Origin (PDO) productions. Exome capture techniques offer the opportunity to focus on the regions of DNA potentially related to the gene and protein expression. In this research a human commercial target enrichment kit was used to evaluate its performances for pig exome capture and for the identification of DNA variants suitable for comparative analysis. Two pools of 30 pigs each, crosses of Italian Duroc X Large White (DU) and Commercial hybrid X Large White (HY), were used and NGS libraries were prepared with the SureSelectXT Target Enrichment System for Illumina Paired-End Sequencing Library (Agilent). A total of 140.2 M and 162.5 M of raw reads were generated for DU and HY, respectively. Average coverage of all the exonic regions for Sus scrofa (ENSEMBL Sus_scrofa.Sscrofa10.2.73.gtf) was 89.33X for DU and 97.56X for HY; and 35% of aligned bases uniquely mapped to off-target regions. Comparison of sequencing data with the Sscrofa10.2 reference genome, after applying hard filtering criteria, revealed a total of 232,530 single nucleotide variants (SNVs) of which 20.6% mapped in exonic regions and 49.5% within intronic regions. The comparison of allele frequencies of 213 randomly selected SNVs from exome sequencing and the same SNVs analyzed with a Sequenom MassARRAY® system confirms that this “human-on-pig” approach offers new potentiality for the identification of DNA variants in protein-coding genes.
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Kristensen TN, Hoffmann AA, Pertoldi C, Stronen AV. What can livestock breeders learn from conservation genetics and vice versa? Front Genet 2015; 6:38. [PMID: 25713584 PMCID: PMC4322732 DOI: 10.3389/fgene.2015.00038] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Accepted: 01/26/2015] [Indexed: 11/17/2022] Open
Abstract
The management of livestock breeds and threatened natural population share common challenges, including small effective population sizes, high risk of inbreeding, and the potential benefits and costs associated with mixing disparate gene pools. Here, we consider what has been learnt about these issues, the ways in which the knowledge gained from one area might be applied to the other, and the potential of genomics to provide new insights. Although there are key differences stemming from the importance of artificial versus natural selection and the decreased level of environmental heterogeneity experienced by many livestock populations, we suspect that information from genetic rescue in natural populations could be usefully applied to livestock. This includes an increased emphasis on maintaining substantial population sizes at the expense of genetic uniqueness in ensuring future adaptability, and on emphasizing the way that environmental changes can influence the relative fitness of deleterious alleles and genotypes in small populations. We also suspect that information gained from cross-breeding and the maintenance of unique breeds will be increasingly important for the preservation of genetic variation in small natural populations. In particular, selected genes identified in domestic populations provide genetic markers for exploring adaptive evolution in threatened natural populations. Genomic technologies in the two disciplines will be important in the future in realizing genetic gains in livestock and maximizing adaptive capacity in wildlife, and particularly in understanding how parts of the genome may respond differently when exposed to population processes and selection.
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Affiliation(s)
- Torsten N. Kristensen
- Section of Biology and Environmental Science, Department of Chemistry and Bioscience, Aalborg UniversityAalborg, Denmark
| | - Ary A. Hoffmann
- Department of Zoology and Department of Genetics, Bio21 Institute, The University of MelbourneMelbourne, VIC, Australia
| | - Cino Pertoldi
- Section of Biology and Environmental Science, Department of Chemistry and Bioscience, Aalborg UniversityAalborg, Denmark
- Aalborg ZooAalborg, Denmark
| | - Astrid V. Stronen
- Section of Biology and Environmental Science, Department of Chemistry and Bioscience, Aalborg UniversityAalborg, Denmark
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da Silva EC, de Jager N, Burgos-Paz W, Reverter A, Perez-Enciso M, Roura E. Characterization of the porcine nutrient and taste receptor gene repertoire in domestic and wild populations across the globe. BMC Genomics 2014; 15:1057. [PMID: 25471201 PMCID: PMC4302110 DOI: 10.1186/1471-2164-15-1057] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Accepted: 11/13/2014] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The oral GPCR nutrient/taste receptor gene repertoire consists of the Tas1r family (sweet and umami tastes), the Tas2r family (bitter taste) as well as several other potential candidate sensors of amino acids, peptones and fatty acids. Taste/nutrient receptors play a fundamental role in survival through the identification of dietary nutrients or potentially toxic compounds. In humans and rodents some variations in taste sensitivity have been related to receptor polymorphisms. Some allelic variants, in turn, have been linked to the adaptation to specific geographical locations and dietary regimes. In contrast, the porcine taste/nutrient receptor repertoire has been only partially characterized and limited information on genetic variation across breeds and geographical location exists. The present study aims at filling this void which in turn will form the bases for future improvements in pig nutrition. RESULTS Our results show that the pig oral repertoire of taste/nutrient receptors consists of at least 28 receptor genes with significant transcription measured for 27. When compared to humans and rodents, the porcine gene sequences encoding sensors for carbohydrates, amino acids and fatty acids were highly conserved whilst the bitter taste gene family (known as Tas2rs) showed high divergence. We identified 15 porcine Tas2rs of which 13 are orthologous to human sequences. The single nucleotide polymorphism (SNP) sequence analysis using 79 pig genomes, representing 14 different breeds/populations, revealed that the Tas2r subset had higher variability (average π =2.8 × 10-3) than for non-bitter taste genes (π =1.2-1.5 × 10-3). In addition, our results show that the difference in nutrient receptor genes between Asian and European breeds accounts for only a small part of the variability, which is in contrast with previous findings involving genome wide data. CONCLUSIONS We have defined twenty-eight oral nutrient sensing related genes for the pig. The homology with the human repertoire is high for the porcine non-bitter taste gene repertoire and low for the porcine Tas2r repertoire. Our data suggests that bitter taste is a plastic trait, possibly associated with the ability of pigs to adapt to diverse environments and that may be subject to balancing selection.
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Affiliation(s)
| | | | | | | | - Miguel Perez-Enciso
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, 08193 Bellaterra, Spain.
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