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Saleh MS, Landi V, Derks MFL, Centoducati G, Groenen MAM, De Palo P, Ciani E, Pugliese N, Circella E, Camarda A. Genome Wide Identification of Structure Variations in Five Italian Turkey Populations. Animals (Basel) 2025; 15:339. [PMID: 39943109 PMCID: PMC11816156 DOI: 10.3390/ani15030339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2024] [Revised: 01/12/2025] [Accepted: 01/22/2025] [Indexed: 02/16/2025] Open
Abstract
Structural variants (SVs) are one of the main sources of genetic variants and have a significant impact on phenotype evolution, disease susceptibility, and environmental adaptations. We used 73 whole genome sequencing (12x) to apply a mapping approach to identify SVs in five turkey populations. A notable degree of genetic isolation was observed between the Basilicata and Apulian populations, as indicated by principal component analysis and admixture results. A total of 11,733 SVs were detected, including 6712 deletions, 2671 duplications, 1430 inversions, and 920 translocations. The Variant Effect Predictor (VEP) analysis predicted various consequences of filtered SVs as follows: intron variants (35.8%), intergenic variants (9.6%), coding sequence variants (8.3%), downstream gene variants (7.5%), and transcript ablations (7.3%). Our functional annotation of genes overlapping with SVs was mainly enriched in recognized pathways governing positive regulation of nucleoplasm, protein binding, mitochondrion, negative regulation of cell population proliferation, identical protein binding, and calcium signaling. We produced a comprehensive SV catalog utilizing unique whole-genome turkey data. This SV catalog not only increases our understanding of genetic diversity in turkeys but also enhances our knowledge of the role of SVs in their phenotypic traits.
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Affiliation(s)
- Medhat S. Saleh
- Department of Veterinary Medicine, University of Bari Aldo Moro, 70010 Valenzano, Italy; (M.S.S.); (G.C.); (P.D.P.); (N.P.); (E.C.); (A.C.)
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands; (M.F.L.D.); (M.A.M.G.)
- Department of Animal Production, Faculty of Agriculture, Benha University, Benha 13736, Egypt
| | - Vincenzo Landi
- Department of Veterinary Medicine, University of Bari Aldo Moro, 70010 Valenzano, Italy; (M.S.S.); (G.C.); (P.D.P.); (N.P.); (E.C.); (A.C.)
| | - Martijn F. L. Derks
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands; (M.F.L.D.); (M.A.M.G.)
| | - Gerardo Centoducati
- Department of Veterinary Medicine, University of Bari Aldo Moro, 70010 Valenzano, Italy; (M.S.S.); (G.C.); (P.D.P.); (N.P.); (E.C.); (A.C.)
| | - Martien A. M. Groenen
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands; (M.F.L.D.); (M.A.M.G.)
| | - Pasquale De Palo
- Department of Veterinary Medicine, University of Bari Aldo Moro, 70010 Valenzano, Italy; (M.S.S.); (G.C.); (P.D.P.); (N.P.); (E.C.); (A.C.)
| | - Elena Ciani
- Department of Biosciences, Biotechnologies and Environment, University of Bari Aldo Moro, 70125 Bari, Italy;
| | - Nicola Pugliese
- Department of Veterinary Medicine, University of Bari Aldo Moro, 70010 Valenzano, Italy; (M.S.S.); (G.C.); (P.D.P.); (N.P.); (E.C.); (A.C.)
| | - Elena Circella
- Department of Veterinary Medicine, University of Bari Aldo Moro, 70010 Valenzano, Italy; (M.S.S.); (G.C.); (P.D.P.); (N.P.); (E.C.); (A.C.)
| | - Antonio Camarda
- Department of Veterinary Medicine, University of Bari Aldo Moro, 70010 Valenzano, Italy; (M.S.S.); (G.C.); (P.D.P.); (N.P.); (E.C.); (A.C.)
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Ferrari C, Marelli SP, Bagnato A, Cerolini S, Strillacci MG. Sequencing and characterization of complete mitogenome DNA of worldwide turkey ( Meleagris gallopavo) populations. Anim Biotechnol 2024; 35:2397682. [PMID: 39262293 DOI: 10.1080/10495398.2024.2397682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 08/21/2024] [Indexed: 09/13/2024]
Abstract
The history of turkey (Meleagris gallopavo) domestication can be traced back to the period between 700 and 200 BC in Mexico. This process involved multiple contributors and resulted in the development of modern local turkey breeds. This research investigates the complete mitochondrial diversity across a diverse range of local turkeys. Seventy-three turkeys were sampled from various populations, including autochthonous Italian breeds, an American breed (Narragansett), as well as wild turkeys from the USA and Mexico. The mitochondrial DNA (mtDNA) was employed as a powerful tool for biodiversity and breed phylogeny investigation. An analysis of the entire mtDNA was conducted to identify breed-specific unique traits, mitochondrial-specific characteristics, and the phylogenetic relationship among turkey populations. A total of 44 polymorphic sites were identified. Brianzolo and Narragansett birds were characterized as genetically homogeneous populations. Thirty-two different haplotypes were identified when our samples were compared with mtDNA D-loop of 96 online available turkeys from various geographical countries. H1 and H2, differing for one mutation, were the most abundant, comprising 132 of the 185 sequences. H1 included samples coming from every region, while H2 was predominantly characterized by Italian samples. USA and Mexican samples appear to be more variable in their mtDNA than the other populations.
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Affiliation(s)
- Carlotta Ferrari
- Department of Veterinary Medicine and Animal Science, Università degli Studi di Milano, Lodi, Italy
| | - Stefano P Marelli
- Department of Veterinary Medicine and Animal Science, Università degli Studi di Milano, Lodi, Italy
| | - Alessandro Bagnato
- Department of Veterinary Medicine and Animal Science, Università degli Studi di Milano, Lodi, Italy
| | - Silvia Cerolini
- Department of Veterinary Medicine and Animal Science, Università degli Studi di Milano, Lodi, Italy
| | - Maria G Strillacci
- Department of Veterinary Medicine and Animal Science, Università degli Studi di Milano, Lodi, Italy
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Macharia JK, Kim J, Kim M, Cho E, Munyaneza JP, Lee JH. Characterisation of runs of homozygosity and inbreeding coefficients in the red-brown Korean native chickens. Anim Biosci 2024; 37:1355-1366. [PMID: 38665087 PMCID: PMC11222857 DOI: 10.5713/ab.23.0514] [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: 12/10/2023] [Revised: 02/05/2024] [Accepted: 02/27/2024] [Indexed: 07/05/2024] Open
Abstract
OBJECTIVE The analysis of runs of homozygosity (ROH) has been applied to assess the level of inbreeding and identify selection signatures in various livestock species. The objectives of this study were to characterize the ROH pattern, estimate the rate of inbreeding, and identify signatures of selection in the red-brown Korean native chickens. METHODS The Illumina 60K single nucleotide polymorphism chip data of 651 chickens was used in the analysis. Runs of homozygosity were analysed using the PLINK v1.9 software. Inbreeding coefficients were estimated using the GCTA software and their correlations were examined. Genomic regions with high levels of ROH were explored to identify selection signatures. RESULTS A total of 32,176 ROH segments were detected in this study. The majority of the ROH segments were shorter than 4 Mb. The average ROH inbreeding coefficients (FROH) varied with the length of ROH segments. The means of inbreeding coefficients calculated from different methods were also variable. The correlations between different inbreeding coefficients were positive and highly variable (r = 0.18-1). Five ROH islands harbouring important quantitative trait loci were identified. CONCLUSION This study assessed the level of inbreeding and patterns of homozygosity in Red-brown native Korean chickens. The results of this study suggest that the level of recent inbreeding is low which indicates substantial progress in the conservation of red-brown Korean native chickens. Additionally, Candidate genomic regions associated with important production traits were detected in homozygous regions.
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Affiliation(s)
- John Kariuki Macharia
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134,
Korea
| | - Jaewon Kim
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134,
Korea
| | - Minjun Kim
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134,
Korea
| | - Eunjin Cho
- Department of Bio-AI Convergence, Chungnam National University, Daejeon 34134,
Korea
| | - Jean Pierre Munyaneza
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134,
Korea
| | - Jun Heon Lee
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134,
Korea
- Department of Bio-AI Convergence, Chungnam National University, Daejeon 34134,
Korea
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Salgado Pardo JI, González Ariza A, Navas González FJ, León Jurado JM, Díaz Ruiz E, Delgado Bermejo JV, Camacho Vallejo ME. Discriminant canonical analysis as a tool for genotype traceability testing based on turkey meat and carcass traits. Front Vet Sci 2024; 11:1326519. [PMID: 38425837 PMCID: PMC10902079 DOI: 10.3389/fvets.2024.1326519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024] Open
Abstract
The present study aims to develop a statistical tool for turkey breed traceability testing based on meat and carcass quality characteristics. To this end, a comprehensive meta-analysis was performed, collecting data from a total of 75 studies approaching meat and carcass attributes of 37 turkey strains and landraces since the late 1960s. A total of 22 meat and carcass traits were considered variables, grouped in the following clusters: carcass dressing traits, muscle fiber properties, pH, colorimetry, water-capacity traits, texture-related attributes, and nutritional composition of the meat. Once the multicollinearity analysis allowed the deletion of redundant variables, cold carcass weight, slaughter weight, muscle fiber diameter, sex-female, carcass/piece weight, meat redness, ashes, pH24, meat lightness, moisture, fat, and water-holding capacity showed explanatory properties in the discriminating analysis (p < 0.05). In addition, strong positive and negative correlations were found among those variables studied. Carcass traits were positively associated, particularly slaughter weight and cold carcass weight (+0.561). Among meat physical traits, pH showed positive correlations with drip loss (+0.490) and pH24 (+0.327), and water-holding capacity was positively associated with cholesterol (+0.434) and negatively associated with collagen (-0.398). According to nutritional traits, fat and ash showed a strong correlation (+0.595), and both were negatively associated with moisture (-0.375 and -0.498, respectively). Strong negative correlations were found as well between meat protein and fat (-0.460) and between collagen and cholesterol (-0.654). Finally, the Mahalanobis distance suggested a clustering pattern based on meat and carcass characteristics that report information about interbreeding and variety proximity. This study establishes a departure point in the development of a tool for breed traceability guaranteeing aimed at enhancing distinguished, local breed-based turkey meat.
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Affiliation(s)
| | - Antonio González Ariza
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, Córdoba, Spain
- Agropecuary Provincial Centre, Diputación Provincial de Córdoba, Córdoba, Spain
| | | | | | - Esther Díaz Ruiz
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, Córdoba, Spain
| | | | - María Esperanza Camacho Vallejo
- Department of Agriculture and Ecological Husbandry, Area of Agriculture and Environment, Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA), Alameda del Obispo, Córdoba, Spain
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Salgado Pardo JI, Navas González FJ, González Ariza A, León Jurado JM, Galán Luque I, Delgado Bermejo JV, Camacho Vallejo ME. Study of Meat and Carcass Quality-Related Traits in Turkey Populations through Discriminant Canonical Analysis. Foods 2023; 12:3828. [PMID: 37893720 PMCID: PMC10606380 DOI: 10.3390/foods12203828] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/13/2023] [Accepted: 10/17/2023] [Indexed: 10/29/2023] Open
Abstract
The present research aimed to determine the main differences in meat and carcass quality traits among turkey genotypes worldwide and describe the clustering patterns through the use of a discriminant canonical analysis (DCA). To achieve this goal, a comprehensive meta-analysis of 75 documents discussing carcass and meat characteristics in the turkey species was performed. Meat and carcass attributes of nine different turkey populations were collected and grouped in terms of the following clusters: carcass dressing traits, muscle fiber properties, pH, color-related traits, water-retaining characteristics, texture-related traits, and meat chemical composition. The Bayesian ANOVA analysis reported that the majority of variables statistically differed (p < 0.05), and the multicollinearity analysis revealed the absence of redundancy problems among variables (VIF < 5). The DCA reported that cold carcass weight, slaughter weight, sex-male, carcass/piece weight, and the protein and fat composition of meat were the traits explaining variability among different turkey genotypes (Wilks' lambda: 0.488, 0.590, 0.905, 0.906, 0.937, and 0.944, respectively). The combination of traits in the first three dimensions explained 94.93% variability among groups. Mahalanobis distances cladogram-grouped populations following a cluster pattern and suggest its applicability as indicative of a turkey genotype's traceability.
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Affiliation(s)
- José Ignacio Salgado Pardo
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain; (J.I.S.P.); (F.J.N.G.); (I.G.L.); (J.V.D.B.)
| | - Francisco Javier Navas González
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain; (J.I.S.P.); (F.J.N.G.); (I.G.L.); (J.V.D.B.)
| | - Antonio González Ariza
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain; (J.I.S.P.); (F.J.N.G.); (I.G.L.); (J.V.D.B.)
- Agropecuary Provincial Centre, Diputación Provincial de Córdoba, 14071 Córdoba, Spain;
| | | | - Inés Galán Luque
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain; (J.I.S.P.); (F.J.N.G.); (I.G.L.); (J.V.D.B.)
| | - Juan Vicente Delgado Bermejo
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Córdoba, Spain; (J.I.S.P.); (F.J.N.G.); (I.G.L.); (J.V.D.B.)
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Fan HY, Chien KL, Huang YT, Hsu JB, Chen YY, Lai EY, Su JY, Lu TP, Li HY, Hsu SY, Chen YC. Hypertension as a Novel Link for Shared Heritability in Age at Menarche and Cardiometabolic Traits. J Clin Endocrinol Metab 2023; 108:2389-2399. [PMID: 36810613 DOI: 10.1210/clinem/dgad104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/09/2023] [Accepted: 02/16/2023] [Indexed: 02/24/2023]
Abstract
CONTEXT Extremely early age at menarche, also called precocious puberty, has been associated with various cardiometabolic traits, but their shared heritability remains unclear. OBJECTIVES This work aimed to identify new shared genetic variants and their pathways for age at menarche and cardiometabolic traits and to investigate the influence of central precocious puberty on childhood cardiometabolic traits. METHODS Using the conjunction false discovery rate method, this study analyzed genome-wide association study data from the menarche-cardiometabolic traits among 59 655 females of Taiwanese ancestry and systemically investigated pleiotropy between age at menarche and cardiometabolic traits. To support the novel hypertension link, we used the Taiwan Puberty Longitudinal Study (TPLS) to investigate the influence of precocious puberty on childhood cardiometabolic traits. RESULTS We discovered 27 novel loci, with an overlap between age at menarche and cardiometabolic traits, including body fat and blood pressure. Among the novel genes discovered, SEC16B, CSK, CYP1A1, FTO, and USB1 are within a protein interaction network with known cardiometabolic genes, including traits for obesity and hypertension. These loci were confirmed through demonstration of significant changes in the methylation or expression levels of neighboring genes. Moreover, the TPLS provided evidence regarding a 2-fold higher risk of early-onset hypertension that occurred in girls with central precocious puberty. CONCLUSION Our study highlights the usefulness of cross-trait analyses for identifying shared etiology between age at menarche and cardiometabolic traits, especially early-onset hypertension. The menarche-related loci may contribute to early-onset hypertension through endocrinological pathways.
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Affiliation(s)
- Hsien-Yu Fan
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 100, Taiwan
- Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 100, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Yen-Tsung Huang
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 100, Taiwan
- Institute of Statistical Science, Academia Sinica, Taipei 115, Taiwan
- Department of Mathematics, National Taiwan University, Taipei 106, Taiwan
| | - Justin BoKai Hsu
- Department of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan
| | - Yun-Yu Chen
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 100, Taiwan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 407, Taiwan
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 407, Taiwan
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan
- Cardiovascular Research Center, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - En-Yu Lai
- Institute of Statistical Science, Academia Sinica, Taipei 115, Taiwan
| | - Jia-Ying Su
- Institute of Statistical Science, Academia Sinica, Taipei 115, Taiwan
| | - Tzu-Pin Lu
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Hung-Yuan Li
- Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Shih-Yuan Hsu
- Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
| | - Yang-Ching Chen
- Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
- Department of Family Medicine, Taipei Medical University Hospital, Taipei Medical University, Taipei 110, Taiwan
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 110, Taiwan
- Graduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei 110, Taiwan
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Tolone M, Sardina MT, Criscione A, Lasagna E, Senczuk G, Rizzuto I, Riggio S, Moscarelli A, Macaluso V, Di Gerlando R, Cassandro M, Portolano B, Mastrangelo S. High-density single nucleotide polymorphism markers reveal the population structure of 2 local chicken genetic resources. Poult Sci 2023; 102:102692. [PMID: 37120867 PMCID: PMC10172703 DOI: 10.1016/j.psj.2023.102692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/21/2023] [Accepted: 03/29/2023] [Indexed: 05/02/2023] Open
Abstract
Italy counts a large number of local chicken populations, some without a recognized genetic structure, such as Val Platani (VPL) and Cornuta (COS), which represent noteworthy local genetic resources. In this study, the genotype data of 34 COS and 42 VPL, obtained with the Affymetrix Axiom600KChicken Genotyping Array, were used with the aim to investigate the genetic diversity, the runs of homozygosity (ROH) pattern, as well as the population structure and relationship within the framework of other local Italian and commercial chickens. The genetic diversity indices, estimated using different approaches, displayed moderate levels of genetic diversity in both populations. The identified ROH hotspots harbored genes related to immune response and adaptation to local hot temperatures. The results on genetic relationship and population structure reported a clear clustering of the populations according to their geographic origin. The COS formed a nonoverlapping genomic cluster and clearly separated from the other populations, but showed evident proximity to the Siciliana breed (SIC). The VPL highlighted intermediate relationships between the COS-SIC group and the rest of the sample, but closer to the other Italian local chickens. Moreover, VPL showed a complex genomic structure, highlighting the presence of 2 subpopulations that match with the different source of the samples. The results obtained from the survey on genetic differentiation underline the hypothesis that Cornuta is a population with a defined genetic structure. The substructure that characterizes the Val Platani chicken is probably the consequence of the combined effects of genetic drift, small population size, reproductive isolation, and inbreeding. These findings contribute to the understanding of genetic diversity and population structure, and represent a starting point for designing programs to monitor and safeguard these local genetic resources, in order to define a possible official recognition program as breeds.
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Affiliation(s)
- Marco Tolone
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Maria Teresa Sardina
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Andrea Criscione
- Department of Agriculture, Food and the Environment, University of Catania, 95131 Catania, Italy
| | - Emiliano Lasagna
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121 Perugia, Italy
| | - Gabriele Senczuk
- Department of Agricultural, Environmental and Food Sciences, University of Molise, 86100 Campobasso, Italy
| | - Ilaria Rizzuto
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Silvia Riggio
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Angelo Moscarelli
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Vito Macaluso
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Rosalia Di Gerlando
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Martino Cassandro
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Legnaro, Italy
| | - Baldassare Portolano
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Salvatore Mastrangelo
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy.
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Mastrangelo S, Ben-Jemaa S, Perini F, Cendron F, Biscarini F, Lasagna E, Penasa M, Cassandro M. Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens. Genet Sel Evol 2023; 55:20. [PMID: 36959552 PMCID: PMC10035218 DOI: 10.1186/s12711-023-00790-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 02/21/2023] [Indexed: 03/25/2023] Open
Abstract
BACKGROUND Availability of single nucleotide polymorphism (SNP) genotyping arrays and progress in statistical analyses have allowed the identification of genomic regions and genes under selection in chicken. In this study, SNP data from the 600 K Affymetrix chicken array were used to detect signatures of selection in 23 local Italian chicken populations. The populations were categorized into four groups for comparative analysis based on live weight (heavy vs light) and geographical area (Northern vs Southern Italy). Putative signatures of selection were investigated by combining three extended haplotype homozygosity (EHH) statistical approaches to quantify excess of haplotype homozygosity within (iHS) and between (Rsb and XP-EHH) groups. Presence of runs of homozygosity (ROH) islands was also analysed for each group. RESULTS After editing, 541 animals and 313,508 SNPs were available for statistical analyses. In total, 15 candidate genomic regions that are potentially under selection were detected among the four groups: eight within a group by iHS and seven by combining the results of Rsb and XP-EHH, which revealed divergent selection between the groups. The largest overlap between genomic regions identified to be under selection by the three approaches was on chicken chromosome 8. Twenty-one genomic regions were identified with the ROH approach but none of these overlapped with regions identified with the three EHH-derived statistics. Some of the identified regions under selection contained candidate genes with biological functions related to environmental stress, immune responses, and disease resistance, which indicate local adaptation of these chicken populations. CONCLUSIONS Compared to commercial lines, local populations are predominantly reared as backyard chickens, and thus, may have developed stronger resistance to environmental challenges. Our results indicate that selection can play an important role in shaping signatures of selection in local chicken populations and can be a starting point to identify gene mutations that could have a useful role with respect to climate change.
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Affiliation(s)
- Salvatore Mastrangelo
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128, Palermo, Italy
| | - Slim Ben-Jemaa
- Laboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, 2049, Ariana, Tunisia
| | - Francesco Perini
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020, Legnaro, Italy
| | - Filippo Cendron
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020, Legnaro, Italy.
| | - Filippo Biscarini
- Institute of Agricultural Biology and Biotechnology (IBBA), National Research Council (CNR), 20133, Milan, Italy
| | - Emiliano Lasagna
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy
| | - Mauro Penasa
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020, Legnaro, Italy
| | - Martino Cassandro
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020, Legnaro, Italy
- Federazione delle Associazioni Nazionali di Razza e Specie, 00187, Rome, Italy
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Kochish II, Titov VY, Nikonov IN, Brazhnik EA, Vorobyov NI, Korenyuga MV, Myasnikova OV, Dolgorukova AM, Griffin DK, Romanov MN. Unraveling signatures of chicken genetic diversity and divergent selection in breed-specific patterns of early myogenesis, nitric oxide metabolism and post-hatch growth. Front Genet 2023; 13:1092242. [PMID: 36712856 PMCID: PMC9874007 DOI: 10.3389/fgene.2022.1092242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 12/27/2022] [Indexed: 01/13/2023] Open
Abstract
Introduction: Due to long-term domestication, breeding and divergent selection, a vast genetic diversity in poultry currently exists, with various breeds being characterized by unique phenotypic and genetic features. Assuming that differences between chicken breeds divergently selected for economically and culturally important traits manifest as early as possible in development and growth stages, we aimed to explore breed-specific patterns and interrelations of embryo myogenesis, nitric oxide (NO) metabolism and post-hatch growth rate (GR). Methods: These characteristics were explored in eight breeds of different utility types (meat-type, dual purpose, egg-type, game, and fancy) by incubating 70 fertile eggs per breed. To screen the differential expression of seven key myogenesis associated genes (MSTN, GHR, MEF2C, MYOD1, MYOG, MYH1, and MYF5), quantitative real-time PCR was used. Results: We found that myogenesis associated genes expressed in the breast and thigh muscles in a coordinated manner showing breed specificity as a genetic diversity signature among the breeds studied. Notably, coordinated ("accord") expression patterns of MSTN, GHR, and MEFC2 were observed both in the breast and thigh muscles. Also, associated expression vectors were identified for MYOG and MYOD1 in the breast muscles and for MYOG and MYF5 genes in the thigh muscles. Indices of NO oxidation and post-hatch growth were generally concordant with utility types of breeds, with meat-types breeds demonstrating higher NO oxidation levels and greater GR values as compared to egg-type, dual purpose, game and fancy breeds. Discussion: The results of this study suggest that differences in early myogenesis, NO metabolism and post-hatch growth are breed-specific; they appropriately reflect genetic diversity and accurately capture the evolutionary history of divergently selected chicken breeds.
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Affiliation(s)
- Ivan I. Kochish
- K. I. Skryabin Moscow State Academy of Veterinary Medicine and Biotechnology, Moscow, Russia
| | - Vladimir Yu. Titov
- K. I. Skryabin Moscow State Academy of Veterinary Medicine and Biotechnology, Moscow, Russia
- Federal Scientific Center “All-Russian Poultry Research and Technological Institute” of the Russian Academy of Sciences, Sergiev Posad, Moscow Oblast, Russia
| | - Ilya N. Nikonov
- K. I. Skryabin Moscow State Academy of Veterinary Medicine and Biotechnology, Moscow, Russia
| | | | - Nikolai I. Vorobyov
- All-Russia Institute for Agricultural Microbiology, Pushkin, St. Petersburg, Russia
| | - Maxim V. Korenyuga
- K. I. Skryabin Moscow State Academy of Veterinary Medicine and Biotechnology, Moscow, Russia
| | - Olga V. Myasnikova
- K. I. Skryabin Moscow State Academy of Veterinary Medicine and Biotechnology, Moscow, Russia
| | - Anna M. Dolgorukova
- Federal Scientific Center “All-Russian Poultry Research and Technological Institute” of the Russian Academy of Sciences, Sergiev Posad, Moscow Oblast, Russia
| | - Darren K. Griffin
- School of Biosciences, University of Kent, Canterbury, United Kingdom
| | - Michael N. Romanov
- K. I. Skryabin Moscow State Academy of Veterinary Medicine and Biotechnology, Moscow, Russia
- School of Biosciences, University of Kent, Canterbury, United Kingdom
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Lee JH. Special Issue: Poultry Genetics, Breeding and Biotechnology. Genes (Basel) 2021; 12:genes12111744. [PMID: 34828350 PMCID: PMC8617757 DOI: 10.3390/genes12111744] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 10/27/2021] [Indexed: 12/14/2022] Open
Affiliation(s)
- Jun Heon Lee
- Division of Animal and Dairy Science, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Korea;
- Department of Bio-Big Data, Graduate School, Chungnam National University, Daejeon 34134, Korea
- Department of Bio-AI Convergence, Graduate School, Chungnam National University, Daejeon 34134, Korea
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