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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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2
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Zhang X, Yang L, Xie Z, Gan J, Zhu P, Song J, Kang H, Zhang Z, Liu L, Xiang H, Li H. Genetic assessment and candidate genes identification for breed-specific characteristics of Qingyuan partridge chicken based on runs of homozygosity. BMC Genomics 2024; 25:577. [PMID: 38858651 PMCID: PMC11163754 DOI: 10.1186/s12864-024-10492-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 06/03/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Several core breeding and supporting lines of the Qingyuan partridge chicken, a representative local chicken breed in China, have been developed over 20 years. Consequently, its economic traits related to growth and reproduction have been significantly improved by breeding selection and commercial utilization, but some characteristic traits, such as partridge feathers, high meat quality and sufficient flavor, have always been retained. However, effective methods for genetic assessment and functional gene exploration of similar trait groups are lacking. The presence of identical haplotype fragments transmitted from parent to offspring results in runs of homozygosity (ROH), which offer an efficient solution. In this study, genomes of 134 Qingyuan partridge chickens representing two breeding populations and one preserved population were re-sequenced to evaluate the genetic diversity and explore functional genes by analyzing the diversity, distribution, and frequency of ROH. RESULTS The results showed a low level of genomic linkage and degree of inbreeding within both the bred and preserved populations, suggesting abundant genetic diversity and an adequate genetic potential of the Qingyuan partridge chicken. Throughout the long-term selection process, 21 genes, including GLI3, ANO5, BLVRA, EFNB2, SLC5A12, and SVIP, associated with breed-specific characteristics were accumulated within three ROH islands, whereas another 21 genes associated with growth traits including IRX1, IRX2, EGFR, TPK1, NOVA1, BDNF and so on were accumulated within five ROH islands. CONCLUSIONS These findings provide new insights into the genetic assessment and identification of genes with breed-specific and selective characteristics, offering a solid genetic basis for breeding and protection of Qingyuan partridge chickens.
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Affiliation(s)
- Xing Zhang
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China
| | - Liu Yang
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China
- Key Laboratory of National Forestry and Grassland Administration on Conservation Biology of Rare Animals in the Giant, China Conservation and Research Centre for the Giant Panda, Panda National Park, Chengdu, 611830, China
| | - Zhuojun Xie
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China
| | - Jiankang Gan
- Guangdong Tinoo's Foods Group Co., Ltd, Qingyuan, 511827, China
| | - Piao Zhu
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China
| | - Jiani Song
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China
| | - Huimin Kang
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China
| | - Zhengfen Zhang
- Guangdong Tinoo's Foods Group Co., Ltd, Qingyuan, 511827, China
| | - Lingbin Liu
- College of Animal Science and Technology, Southwest University, Chongqing, 400715, China
| | - Hai Xiang
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China.
| | - Hua Li
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China.
- Guangdong Tinoo's Foods Group Co., Ltd, Qingyuan, 511827, China.
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Tan X, Liu L, Dong J, Huang M, Zhang J, Li Q, Wang H, Bai L, Cui M, Zhou Z, Wu D, Xiang Y, Li W, Wang D. Genome-wide detections for runs of homozygosity and selective signatures reveal novel candidate genes under domestication in chickens. BMC Genomics 2024; 25:485. [PMID: 38755540 PMCID: PMC11097469 DOI: 10.1186/s12864-024-10349-4] [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: 03/01/2024] [Accepted: 04/25/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Indigenous chickens were developed through a combination of natural and artificial selection; essentially, changes in genomes led to the formation of these modern breeds via admixture events. However, their confusing genetic backgrounds include a genomic footprint regulating complex traits, which is not conducive to modern animal breeding. RESULTS To better evaluate the candidate regions under domestication in indigenous chickens, we considered both runs of homozygosity (ROHs) and selective signatures in 13 indigenous chickens. The genomes of Silkie feather chickens presented the highest heterozygosity, whereas the highest inbreeding status and ROH number were found in Luhua chickens. Short ROH (< 1 Mb), were the principal type in all chickens. A total of 291 ROH islands were detected, and QTLdb mapping results indicated that body weight and carcass traits were the most important traits. An ROH on chromosome 2 covering VSTM2A gene was detected in 12 populations. Combined analysis with the Tajima's D index revealed that 18 genes (e.g., VSTM2A, BBOX1, and RYR2) were under selection and covered by ROH islands. Transcriptional analysis results showed that RYR2 and BBOX1 were specifically expressed in the heart and muscle tissue, respectively. CONCLUSION Based on genome-wide scanning for ROH and selective signatures, we evaluated the genomic characteristics and detected significant candidate genes covered by ROH islands and selective signatures. The findings in this study facilitated the understanding of genetic diversity and provided valuable insights for chicken breeding and conservation strategies.
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Affiliation(s)
- Xiaodong Tan
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Lu Liu
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China
- Jinhua Jinfan Feed Co., Ltd, Jinhua, Zhejiang, 321000, China
| | - Jie Dong
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Minjie Huang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Jiawen Zhang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Qinghai Li
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou, 310024, China
| | - Huanhuan Wang
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou, 310024, China
| | - Lijuan Bai
- Zhejiang Animal Husbandry Technology Extension and Breeding Livestock and Poultry Monitoring Station, Hangzhou, 310020, China
| | - Ming Cui
- Zhejiang Animal Husbandry Technology Extension and Breeding Livestock and Poultry Monitoring Station, Hangzhou, 310020, China
| | - Zhenzhen Zhou
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - De Wu
- Postdoctoral Research Station, Jinhua Development Zone, Jinhua, Zhejiang, 321000, China
| | - Yun Xiang
- Jinhua Jinfan Feed Co., Ltd, Jinhua, Zhejiang, 321000, China.
| | - Weifen Li
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
| | - Deqian Wang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
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Shen Z, Zhang T, Twumasi G, Zhang J, Wang J, Xi Y, Wang R, Wang J, Zhang R, Liu H. Genetic analysis of a Kaijiang duck conservation population through genome-wide scan. Br Poult Sci 2024:1-9. [PMID: 38738932 DOI: 10.1080/00071668.2024.2335937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 03/08/2024] [Indexed: 05/14/2024]
Abstract
1. The Kaijiang duck is a native Chinese breed known for its excellent egg laying performance, killing-out percentage (88.57%), and disease resistance. The assessment of population genetic structure is the basis for understanding the genetics of indigenous breeds and for their protection and management.2. In this study, whole-genome sequencing was performed on 60 Kaijiang ducks to identify genetic variations and investigate the population structure. Homozygosity (ROH) analysis was conducted to assess inbreeding levels in the population.3. The study revealed a moderate level of inbreeding, indicated by an average inbreeding coefficient of 0.1043. This may impact the overall genetic diversity.4. Genomic Regions of Interest identified included 168 genomic regions exhibiting high levels of autozygosity. These regions were associated with processes including muscle growth, pigmentation, neuromodulation, and growth and reproduction.5. The significance of these pathways indicated their potential role in shaping the desirable traits of the Kaijiang duck. These findings provide insights into the genetic basis of the Kaijiang duck's desirable traits and can inform future breeding and conservation efforts.
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Affiliation(s)
- Z Shen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - T Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - G Twumasi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Y Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - R Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - R Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - H Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
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Criscione A, Chessari G, Cesarani A, Ablondi M, Asti V, Bigi D, Bordonaro S, Ciampolini R, Cipolat-Gotet C, Congiu M, De Palo P, Landi V, Macciotta NPP, Matassino D, Portolano B, Riggio S, Sabbioni A, Sardina MT, Senczuk G, Tumino S, Vasini M, Ciani E, Mastrangelo S. Analysis of ddRAD-seq data provides new insights into the genomic structure and patterns of diversity in Italian donkey populations. J Anim Sci 2024; 102:skae165. [PMID: 38874306 PMCID: PMC11214105 DOI: 10.1093/jas/skae165] [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: 03/07/2024] [Accepted: 06/13/2024] [Indexed: 06/15/2024] Open
Abstract
With more than 150 recognized breeds, donkeys assume relevant economic importance, especially in developing countries. Even if the estimated number of heads worldwide is 53M, this species received less attention than other livestock species. Italy has traditionally been considered one of the cradles of European donkey breeding, and despite a considerable loss of biodiversity, today still counts nine autochthonous populations. A total of 220 animals belonging to nine different populations were genotyped using the double-digest restriction site associated DNA (ddRAD) sequencing to investigate the pattern of diversity using a multi-technique approach. A total of 418,602,730 reads were generated and successfully demultiplexed to obtain a medium-density SNP genotypes panel with about 27K markers. The diversity indices showed moderate levels of variability. The genetic distances and relationships, largely agree with the breeding history of the donkey populations under investigation. The results highlighted the separation of populations based on their genetic origin or geographical proximity between breeding areas, showed low to moderate levels of admixture, and indicated a clear genetic difference in some cases. For some breeds, the results also validate the success of proper management conservation plans. Identified runs of homozygosity islands, mapped within genomic regions related to immune response and local adaptation, are consistent with the characteristics of the species known for its rusticity and adaptability. This study is the first exhaustive genome-wide analysis of the diversity of Italian donkey populations. The results emphasized the high informativeness of genome-wide markers retrieved through the ddRAD approach. The findings take on great significance in designing and implementing conservation strategies. Standardized genotype arrays for donkey species would make it possible to combine worldwide datasets to provide further insights into the evolution of the genomic structure and origin of this important genetic resource.
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Affiliation(s)
- Andrea Criscione
- Dipartimento di Agricoltura, Alimentazione e Ambiente, University of Catania, Catania, Italy
| | - Giorgio Chessari
- Dipartimento di Agricoltura, Alimentazione e Ambiente, University of Catania, Catania, Italy
- Department of Animal Sciences, Georg-August-University Göttingen, Göttingen, Germany
| | - Alberto Cesarani
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
- Department of Animal and Dairy Science, University of Georgia, Athens, USA
| | - Michela Ablondi
- Dipartimento di Scienze Medico-Veterinarie, University of Parma, Parma, Italy
| | - Vittoria Asti
- Dipartimento di Scienze Medico-Veterinarie, University of Parma, Parma, Italy
| | - Daniele Bigi
- Dipartimento di Scienze e Tecnologie Agro-Alimentari, University of Bologna, Bologna, Italy
| | - Salvatore Bordonaro
- Dipartimento di Agricoltura, Alimentazione e Ambiente, University of Catania, Catania, Italy
| | | | | | - Michele Congiu
- Dipartimento di Agraria, University of Sassari, Sassari, Italy
| | - Pasquale De Palo
- Dipartimento di Medicina Veterinaria, University of Bari Aldo Moro, Valenzano, Italy
| | - Vincenzo Landi
- Dipartimento di Medicina Veterinaria, University of Bari Aldo Moro, Valenzano, Italy
| | | | - Donato Matassino
- Consorzio per la Sperimentazione, Divulgazione e Applicazione di Biotecniche Innovative, Benevento, Italy
| | - Baldassare Portolano
- Dipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Silvia Riggio
- Dipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Alberto Sabbioni
- Dipartimento di Scienze Medico-Veterinarie, University of Parma, Parma, Italy
| | - Maria Teresa Sardina
- Dipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
| | - Gabriele Senczuk
- Dipartimento di Agricoltura, Ambiente e Alimenti, University of Molise, Campobasso, Italy
| | - Serena Tumino
- Dipartimento di Agricoltura, Alimentazione e Ambiente, University of Catania, Catania, Italy
| | - Matteo Vasini
- Associazione Nazionale Allevatori delle Razze Equine ed Asinine Italiane, ANAREAI, Roma, Italy
| | - Elena Ciani
- Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, University of Bari Aldo Moro, Bari, Italy
| | - Salvatore Mastrangelo
- Dipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy
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Volkova NA, Romanov MN, Abdelmanova AS, Larionova PV, German NY, Vetokh AN, Shakhin AV, Volkova LA, Anshakov DV, Fisinin VI, Narushin VG, Griffin DK, Sölkner J, Brem G, McEwan JC, Brauning R, Zinovieva NA. Genotyping-by-Sequencing Strategy for Integrating Genomic Structure, Diversity and Performance of Various Japanese Quail ( Coturnix japonica) Breeds. Animals (Basel) 2023; 13:3439. [PMID: 38003057 PMCID: PMC10668688 DOI: 10.3390/ani13223439] [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: 09/28/2023] [Revised: 10/23/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
Traces of long-term artificial selection can be detected in genomes of domesticated birds via whole-genome screening using single-nucleotide polymorphism (SNP) markers. This study thus examined putative genomic regions under selection that are relevant to the development history, divergence and phylogeny among Japanese quails of various breeds and utility types. We sampled 99 birds from eight breeds (11% of the global gene pool) of egg (Japanese, English White, English Black, Tuxedo and Manchurian Golden), meat (Texas White and Pharaoh) and dual-purpose (Estonian) types. The genotyping-by-sequencing analysis was performed for the first time in domestic quails, providing 62,935 SNPs. Using principal component analysis, Neighbor-Net and Admixture algorithms, the studied breeds were characterized according to their genomic architecture, ancestry and direction of selective breeding. Japanese and Pharaoh breeds had the smallest number and length of homozygous segments indicating a lower selective pressure. Tuxedo and Texas White breeds showed the highest values of these indicators and genomic inbreeding suggesting a greater homozygosity. We revealed evidence for the integration of genomic and performance data, and our findings are applicable for elucidating the history of creation and genomic variability in quail breeds that, in turn, will be useful for future breeding improvement strategies.
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Affiliation(s)
- Natalia A. Volkova
- L. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk 142132, Moscow Oblast, Russia; (N.A.V.); (A.S.A.); (P.V.L.); (N.Y.G.); (A.N.V.); (A.V.S.); (L.A.V.)
| | - Michael N. Romanov
- L. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk 142132, Moscow Oblast, Russia; (N.A.V.); (A.S.A.); (P.V.L.); (N.Y.G.); (A.N.V.); (A.V.S.); (L.A.V.)
- School of Biosciences, University of Kent, Canterbury, Kent CT2 7NJ, UK;
| | - Alexandra S. Abdelmanova
- L. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk 142132, Moscow Oblast, Russia; (N.A.V.); (A.S.A.); (P.V.L.); (N.Y.G.); (A.N.V.); (A.V.S.); (L.A.V.)
| | - Polina V. Larionova
- L. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk 142132, Moscow Oblast, Russia; (N.A.V.); (A.S.A.); (P.V.L.); (N.Y.G.); (A.N.V.); (A.V.S.); (L.A.V.)
| | - Nadezhda Yu. German
- L. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk 142132, Moscow Oblast, Russia; (N.A.V.); (A.S.A.); (P.V.L.); (N.Y.G.); (A.N.V.); (A.V.S.); (L.A.V.)
| | - Anastasia N. Vetokh
- L. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk 142132, Moscow Oblast, Russia; (N.A.V.); (A.S.A.); (P.V.L.); (N.Y.G.); (A.N.V.); (A.V.S.); (L.A.V.)
| | - Alexey V. Shakhin
- L. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk 142132, Moscow Oblast, Russia; (N.A.V.); (A.S.A.); (P.V.L.); (N.Y.G.); (A.N.V.); (A.V.S.); (L.A.V.)
| | - Ludmila A. Volkova
- L. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk 142132, Moscow Oblast, Russia; (N.A.V.); (A.S.A.); (P.V.L.); (N.Y.G.); (A.N.V.); (A.V.S.); (L.A.V.)
| | - Dmitry V. Anshakov
- Breeding and Genetic Center Zagorsk Experimental Breeding Farm—Branch of the Federal Research Centre, All-Russian Poultry Research and Technological Institute, Russian Academy of Sciences, Sergiev Posad 141311, Moscow Oblast, Russia;
| | - Vladimir I. Fisinin
- Federal Research Center “All-Russian Poultry Research and Technological Institute” of the Russian Academy of Sciences, Sergiev Posad 141311, Moscow Oblast, Russia;
| | - Valeriy G. Narushin
- Research Institute for Environment Treatment, 69032 Zaporizhya, Ukraine;
- Vita-Market Co., Ltd., 69032 Zaporizhya, Ukraine
| | - Darren K. Griffin
- School of Biosciences, University of Kent, Canterbury, Kent CT2 7NJ, UK;
| | - Johann Sölkner
- Institute of Livestock Sciences (NUWI), University of Natural Resources and Life Sciences Vienna, 1180 Vienna, Austria;
| | - Gottfried Brem
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine, 1210 Vienna, Austria;
| | - John C. McEwan
- AgResearch, Invermay Agricultural Centre, Mosgiel 9053, New Zealand; (J.C.M.); (R.B.)
| | - Rudiger Brauning
- AgResearch, Invermay Agricultural Centre, Mosgiel 9053, New Zealand; (J.C.M.); (R.B.)
| | - Natalia A. Zinovieva
- L. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk 142132, Moscow Oblast, Russia; (N.A.V.); (A.S.A.); (P.V.L.); (N.Y.G.); (A.N.V.); (A.V.S.); (L.A.V.)
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7
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Gao C, Wang K, Hu X, Lei Y, Xu C, Tian Y, Sun G, Tian Y, Kang X, Li W. Conservation priority and run of homozygosity pattern assessment of global chicken genetic resources. Poult Sci 2023; 102:103030. [PMID: 37716234 PMCID: PMC10511814 DOI: 10.1016/j.psj.2023.103030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/30/2023] [Accepted: 08/11/2023] [Indexed: 09/18/2023] Open
Abstract
The conservation of genetic resources is becoming increasingly important for the sustainable development of the poultry industry. In the present study, we systematically analyzed the population structure, conservation priority, runs of homozygosity (ROH) of chicken breeds globally, and proposed rational conservation strategies. We used a 600K Affymetrix Axiom HD genotyping SNP array dataset of 2,429 chickens from 134 populations. The chickens were divided into 5 groups based on their country of origin and sampling location: Asian chickens (AS-LOC), African chickens (AF), European local chickens (EU-LOC), Asian breeds sampled in Germany (AS-DE), and European breeds sampled in Germany (EU-DE). The results indicated that the population structure was consistent with the actual geographical distribution of the populations. AS-LOC had the highest positive contribution to the total gene (HT, 1.00%,) and allelic diversity (AT, 0.0014%), the lowest inbreeding degree and the fastest linkage disequilibrium (LD) decay rate; the lowest contribution are derived by European ex situ chicken breeds (EU-DE:HT = -0.072%, AT = -0.0014%), which showed the highest inbreeding and slowest LD decay. Breeds farmed in ex situ (AS-DE, EU-DE) conditions exhibited reduced genetic diversity and increased inbreeding due to small population size. Given limited funds, it is a better choice for government to conserve the breeds with the highest contribution to genetic diversity in each group. Therefore, we evaluated the contribution of each breed to genetic and allelic diversity in 5 groups. Among each group, KUR(AF), BANG(AS-LOC), ALxx(EU-LOC), BHwsch(AS-DE), and ARw(EU-DE) had the highest contribution to gene diversity in the order of the above grouping. Similarly, according to the allelic diversity standard (in the same order), ZIMxx, PIxx, ALxx, SHsch, and ARsch had the highest contribution. After analyzing ROH, we found a total of 144,708 fragments and 27 islands. The gene and genome regions identified by the ROH islands and QTLs indicate that chicken breeds have potential for adaptation to different production systems. Based on these findings, it is recommended to prioritize the conservation of breeds with the highest genetic diversity in each group, while paying more attention to the conservation of Asian and African breeds. Furthermore, providing a valuable reference for the conservation and utilization of chicken.
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Affiliation(s)
- Chaoqun Gao
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, China; The Shennong Laboratory, Zhengzhou 450046, Henan, China
| | - Kejun Wang
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, China; The Shennong Laboratory, Zhengzhou 450046, Henan, China
| | - Xiaoyu Hu
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, China; The Shennong Laboratory, Zhengzhou 450046, Henan, China
| | - Yanru Lei
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, China; The Shennong Laboratory, Zhengzhou 450046, Henan, China
| | - Chunhong Xu
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, China; The Shennong Laboratory, Zhengzhou 450046, Henan, China
| | - Yixiang Tian
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang 453003, Henan, China
| | - Guirong Sun
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, China; The Shennong Laboratory, Zhengzhou 450046, Henan, China
| | - Yadong Tian
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, China; The Shennong Laboratory, Zhengzhou 450046, Henan, China
| | - Xiangtao Kang
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, China; The Shennong Laboratory, Zhengzhou 450046, Henan, China
| | - Wenting Li
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, Henan, China; The Shennong Laboratory, Zhengzhou 450046, Henan, China.
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8
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Rizzi C. A Study on Egg Production and Quality According to the Age of Four Italian Chicken Dual-Purpose Purebred Hens Reared Outdoors. Animals (Basel) 2023; 13:3064. [PMID: 37835671 PMCID: PMC10571830 DOI: 10.3390/ani13193064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/23/2023] [Accepted: 09/06/2023] [Indexed: 10/15/2023] Open
Abstract
The month of hatching and the rearing management, especially temperature and photoperiod, are important factors for pullets and hens reared outdoors. The yield performance and egg quality of dual-purpose chicken breeds from the Veneto region (Italy), Pepoi (PP), Ermellinata di Rovigo (ER), Robusta Maculata (RM) and Robusta Lionata (RL), with different adult body weights (ABW, kg, PP = 1.3; ER = 2.3, RM and RL = 3.1), were studied, using a factorial model (4 × 2), considering breed and age (26-33 weeks, first age, summer-autumn, under decreasing natural photoperiod-on average, 12L:12D, and 42-53 weeks, second age, winter, under implemented photoperiod-14L:10D) as the main effects and interaction. The chicks hatched in spring, and they started laying at the end of summer/beginning of autumn. Significant (p < 0.05) results were shown for many traits. ER showed higher hen-day egg production than that of PP, and RM and RL were the lowest; ER, RM and RL showed medium-size eggs and PP showed small-size eggs. RM produced the most spherical eggs and ER the most ovoid, and they showed the highest and the lowest eggshell thickness, respectively. RM showed the highest yolk to albumen ratio, and RL showed the lowest. The age increased the laying rate and the egg weight in all the groups. At 26-33 weeks, ER and PP showed higher hen-day egg production (on average 24%) than RM and RL (on average, less than 10%). The onset of laying (at least 10% laying rate) was shown, at different ages, according to the % ABW the breeds had reached: PP was the first, followed by ER, then RM, and RL was the last. At 42-53 weeks, the hen-day egg production ranged, on average, from 38 to 52%, according to the breeds; orthogonal contrasts on two-weekly data showed, at first age, increasing linear (ER) and quadratic (other groups) trends, and at second age, positive linear (ER, RM) and cubic (PP, RL) trends. Age (32 vs. 53 weeks) affected almost all the eggshell traits in PP and ER, whereas in RL, and especially RM, fewer traits changed. The age increased the yolk to albumen ratio (unchanged in PP). These results may be useful for the effective management of local purebred chickens, with the purpose to ensure the wellbeing of the hens and for supplying eggs of different quality throughout the year.
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Affiliation(s)
- Chiara Rizzi
- Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE), University of Padova, Viale dell'Università, 16, 35020 Legnaro, Italy
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9
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Tian S, Tang W, Zhong Z, Wang Z, Xie X, Liu H, Chen F, Liu J, Han Y, Qin Y, Tan Z, Xiao Q. Identification of Runs of Homozygosity Islands and Functional Variants in Wenchang Chicken. Animals (Basel) 2023; 13:ani13101645. [PMID: 37238076 DOI: 10.3390/ani13101645] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/11/2023] [Accepted: 05/13/2023] [Indexed: 05/28/2023] Open
Abstract
Wenchang chickens, a native breed in the Hainan province of China, are famous for their meat quality and adaptability to tropical conditions. For effective management and conservation, in the present study, we systematically investigated the characteristics of genetic variations and runs of homozygosity (ROH) along the genome using re-sequenced whole-genome sequencing data from 235 Wenchang chickens. A total of 16,511,769 single nucleotide polymorphisms (SNPs) and 53,506 ROH segments were identified in all individuals, and the ROH of Wenchang chicken were mainly composed of short segments (0-1 megabases (Mb)). On average, 5.664% of the genome was located in ROH segments across the Wenchang chicken samples. According to several parameters, the genetic diversity of the Wenchang chicken was relatively high. The average inbreeding coefficient of Wenchang chickens based on FHOM, FGRM, and FROH was 0.060 ± 0.014, 0.561 ± 0.020, and 0.0566 ± 0.01, respectively. A total of 19 ROH islands containing 393 genes were detected on 9 different autosomes. Some of these genes were putatively associated with growth performance (AMY1a), stress resistance (THEMIS2, PIK3C2B), meat traits (MBTPS1, DLK1, and EPS8L2), and fat deposition (LANCL2, PPARγ). These findings provide a better understanding of the degree of inbreeding in Wenchang chickens and the hereditary basis of the characteristics shaped under selection. These results are valuable for the future breeding, conservation, and utilization of Wenchang and other chicken breeds.
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Affiliation(s)
- Shuaishuai Tian
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Wendan Tang
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Ziqi Zhong
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Ziyi Wang
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Xinfeng Xie
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Hong Liu
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Fuwen Chen
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Jiaxin Liu
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Yuxin Han
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Yao Qin
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Zhen Tan
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Qian Xiao
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
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10
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Perini F, Cendron F, Wu Z, Sevane N, Li Z, Huang C, Smith J, Lasagna E, Cassandro M, Penasa M. Genomics of Dwarfism in Italian Local Chicken Breeds. Genes (Basel) 2023; 14:genes14030633. [PMID: 36980905 PMCID: PMC10047989 DOI: 10.3390/genes14030633] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/27/2023] [Accepted: 03/01/2023] [Indexed: 03/06/2023] Open
Abstract
The identification of the dwarf phenotype in chicken is based on body weight, height, and shank length, leaving the differentiation between dwarf and small breeds ambiguous. The aims of the present study were to characterize the sequence variations associated with the dwarf phenotype in three Italian chicken breeds and to investigate the genes associated with their phenotype. Five hundred and forty-one chickens from 23 local breeds (from 20 to 24 animals per breed) were sampled. All animals were genotyped with the 600 K chicken SNP array. Three breeds were described as “dwarf”, namely, Mericanel della Brianza (MERI), Mugellese (MUG), and Pepoi (PPP). We compared MERI, MUG, and PPP with the four heaviest breeds in the dataset by performing genome-wide association studies. Results showed significant SNPs associated with dwarfism in the MERI and MUG breeds, which shared a candidate genomic region on chromosome 1. Due to this similarity, MERI and MUG were analyzed together as a meta-population, observing significant SNPs in the LEMD3 and HMGA2 genes, which were previously reported as being responsible for dwarfism in different species. In conclusion, MERI and MUG breeds seem to share a genetic basis of dwarfism, which differentiates them from the small PPP breed.
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Affiliation(s)
- Francesco Perini
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121 Perugia, Italy
| | - Filippo Cendron
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Legnaro, Italy
| | - Zhou Wu
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Natalia Sevane
- Department of Animal Production, Veterinary Faculty, Universidad Complutense de Madrid, Avenida Puerta de Hierro, 28040 Madrid, Spain
| | - Zhiqiang Li
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121 Perugia, Italy
- College of Animal Science and Technology, Chengdu Campus, Sichuan Agricultural University, Chengdu 611130, China
| | - Chunhua Huang
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121 Perugia, Italy
- College of Animal Science and Technology, Chengdu Campus, Sichuan Agricultural University, Chengdu 611130, China
| | - Jacqueline Smith
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK
| | - Emiliano Lasagna
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121 Perugia, Italy
- Correspondence: ; Tel.: +39-075-58517102
| | - 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 Roma, Italy
| | - Mauro Penasa
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Legnaro, Italy
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11
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Gao C, Du W, Tian K, Wang K, Wang C, Sun G, Kang X, Li W. Analysis of Conservation Priorities and Runs of Homozygosity Patterns for Chinese Indigenous Chicken Breeds. Animals (Basel) 2023; 13:ani13040599. [PMID: 36830386 PMCID: PMC9951684 DOI: 10.3390/ani13040599] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/30/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023] Open
Abstract
To achieve sustainable development of the poultry industry, the effective conservation of genetic resources has become increasingly important. In the present study, we systematically elucidated the population structure, conservation priority, and runs of homozygosity (ROH) patterns of Chinese native chicken breeds. We used a high-density genotyping dataset of 157 native chickens from eight breeds. The population structure showed different degrees of population stratification among the breeds. Chahua chicken was the most differentiated breed from the other breeds (Nei = 0.0813), and the Wannan three-yellow chicken (WanTy) showed the lowest degree of differentiation (Nei = 0.0438). On the basis of contribution priority, Xiaoshan chicken had the highest contribution to the total gene diversity (1.41%) and the maximum gene diversity of the synthetic population (31.1%). WanTy chicken showed the highest contribution to the total allelic diversity (1.31%) and the maximum allelic diversity of the syntenic population (17.0%). A total of 5242 ROH fragments and 5 ROH island regions were detected. The longest ROH fragment was 41.51 Mb. A comparison of the overlapping genomic regions between the ROH islands and QTLs in the quantitative trait loci (QTL) database showed that the annotated candidate genes were involved in crucial economic traits such as immunity, carcass weight, drumstick and leg muscle development, egg quality and egg production, abdominal fat precipitation, body weight, and feed intake. In conclusion, our findings revealed that Chahua, Xiaoshan, and WanTy should be the priority conservation breeds, which will help optimize the conservation and breeding programs for Chinese indigenous chicken breeds.
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Affiliation(s)
- Chaoqun Gao
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Wenping Du
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Kaiyuan Tian
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Kejun Wang
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
| | - Chunxiu Wang
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
| | - Guirong Sun
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
- The Shennong Laboratory, Zhengzhou 450002, China
| | - Xiangtao Kang
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
- The Shennong Laboratory, Zhengzhou 450002, China
- Correspondence: (X.K.); (W.L.)
| | - Wenting Li
- Henan Innovative Engineering Research Center of Poultry Germplasm Resource, College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450002, China
- The Shennong Laboratory, Zhengzhou 450002, China
- Correspondence: (X.K.); (W.L.)
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12
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Egg Quality of Italian Local Chicken Breeds: I. Yield Performance and Physical Characteristics. Animals (Basel) 2022; 13:ani13010148. [PMID: 36611756 PMCID: PMC9817804 DOI: 10.3390/ani13010148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 12/22/2022] [Accepted: 12/24/2022] [Indexed: 01/03/2023] Open
Abstract
The aim of this study was to compare yield performance (from 39 to 50 weeks of age) and egg physical characteristics (at 50 weeks of age) of eight autochthonous chicken breeds of the Veneto region (Italy). Four white eggshell breeds, namely Padovana Camosciata (PA-C, chamois plumage), Padovana Dorata (PA-G, golden plumage), Polverara Bianca (PO-W, white plumage), and Polverara Nera (PO-B, black plumage), and four tinted eggshell breeds, namely Pepoi (PP), Ermellinata di Rovigo (ER), Robusta Maculata (RM), and Robusta Lionata (RL) from a conservation centre were considered in the trial. Significant differences (p < 0.05) among breeds were observed for yield performance and egg quality. From 39 to 50 weeks of age, the hen-day egg production was higher in PA-C and RM than in RL, and PO-W and ER were intermediate; PA-G, PO-B, and PP were the lowest. The hen-day egg production changed according to the age of the hens. From 39 to 42 weeks of age, ER showed the highest hen-day egg production and PA-G the lowest; from 47 to 50 weeks, PA-C, PO-W, and RM were the highest and PP the lowest. The tinted eggshell breeds, with the exception of PP, had higher egg weights than white eggshell breeds. PP egg weight was similar to PO-B. As regards the tinted eggshell breeds, RM eggs had the highest eggshell a* and b*, and PP the lowest. PA-C had the most spherical eggs, and PO-B and ER had the most ovoid eggs. PO-W and RM had the highest eggshell thickness and ER had the lowest. The highest eggshell ratio was observed for PO-W and PO-B, and the lowest for ER. The yolk-to-albumen ratio was higher in the white eggshell breeds than in PP, ER, and RL. ER had the highest Haugh units and PA-G the lowest. PO-W, PO-B, PA-C, PA-G, and ER had the lowest egg inclusions, and RL and RM the highest. Tinted eggshell eggs differed from white eggshell eggs by having higher meat spots. Results indicated that the eggs produced by the eight local chicken breeds differed according to the laying rate and a wide range of physical external and internal characteristics which allow the consumer to distinguish them for their genetic origin by the eggshell shape and colour, and to use them for different purposes to valorise poultry biodiversity.
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13
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Wang H, Wang Q, Tan X, Wang J, Zhang J, Zheng M, Zhao G, Wen J. Estimation of genetic variability and identification of regions under selection based on runs of homozygosity in Beijing-You Chickens. Poult Sci 2022; 102:102342. [PMID: 36470032 PMCID: PMC9719870 DOI: 10.1016/j.psj.2022.102342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
The genetic composition of populations is the result of a long-term process of selection and adaptation to specific environments and ecosystems. Runs of homozygosity (ROHs) are homozygous segments of the genome where the 2 haplotypes inherited from the parents are identical. The detection of ROH can be used to describe the genetic variability and quantify the level of inbreeding in an individual. Here, we investigated the occurrence and distribution of ROHs in 40 Beijing-You Chickens from the random breeding population (BJY_C) and 40 Beijing-You Chickens from the intramuscular fat (IMF) selection population (BJY_S). Principal component analysis (PCA) and maximum likelihood (ML) analyses showed that BJY_C was completely separated from the BJY_S. The nucleotide diversity of BJY_C was higher than that of BJY_S, and the decay rate of LD of BJY_C was faster. The ROHs were identified for a total of 7,101 in BJY_C and 9,273 in BJY_S, respectively. The ROH-based inbreeding estimate (FROH) of BJY_C was 0.079, which was significantly lower than that of BJY_S (FROH = 0.114). The results were the same as the estimates of the inbreeding coefficients calculated based on homozygosity (FHOM), the correlation between uniting gametes (FUNI), and the genomic relationship matrix (FGRM). Additionally, the distribution and number of ROH islands in chromosomes of BJY_C and BJY_S were significantly different. The ROH islands of BJY_S that included genes associated with lipid metabolism and fat deposition, such as CIDEA and S1PR1, were absent in BJY_C. However, GPR161 was detected in both populations, which is a candidate gene for the formation of the unique five-finger trait in Beijing-You chickens. Our findings contributed to the understanding of the genetic diversity of random or artificially selected populations, and allowed the accurate monitoring of population inbreeding using genomic information, as well as the detection of genomic regions that affect traits under selection.
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Affiliation(s)
- Hailong Wang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Qiao Wang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Xiaodong Tan
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Jie Wang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Jin Zhang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Maiqing Zheng
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Guiping Zhao
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Jie Wen
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China.
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14
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Dementieva NV, Shcherbakov YS, Tyshchenko VI, Terletsky VP, Vakhrameev AB, Nikolaeva OA, Ryabova AE, Azovtseva AI, Mitrofanova OV, Peglivanyan GK, Reinbah NR, Griffin DK, Romanov MN. Comparative Analysis of Molecular RFLP and SNP Markers in Assessing and Understanding the Genetic Diversity of Various Chicken Breeds. Genes (Basel) 2022; 13:genes13101876. [PMID: 36292761 PMCID: PMC9601448 DOI: 10.3390/genes13101876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/06/2022] [Accepted: 10/14/2022] [Indexed: 11/04/2022] Open
Abstract
Monitoring the genetic diversity of small populations is important with respect to conserving rare and valuable chicken breeds, as well as discovery and innovation in germplasm research and application. Restriction fragment length polymorphisms (RFLPs), the molecular markers that underlie multilocus DNA fingerprinting (MLDF), have historically been employed for this purpose, but over the past two decades, there has been an irreversible shift toward high-throughput single-nucleotide polymorphisms (SNPs). In this study, we conducted a comparative analysis of archived MLDF results and new data from whole-genome SNP genotyping (SNPg) among 18 divergently selected breeds representing a large sample of the world gene pool. As a result, we obtained data that fit the general concept of the phylogenetic distribution of the studied breeds and compared them with RFLP and SNP markers. RFLPs were found to be useful markers for retrospective assessment of changes in the genetic architecture and variability underlying the phenotypic variation in chicken populations, especially when samples from previous generations used for MLDF are unavailable for SNPg. These results can facilitate further research necessary to assess the possibility of extrapolating previous MLDF results to study the long-term dynamics of genetic diversity in various small chicken germplasm populations over time. In general, the whole-genome characterization of populations and breeds by multiple SNP loci will further form the basis for the development and implementation of genomic selection with the aim of effective use of the genetic potential of the domestic gene pool in the poultry industry.
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Affiliation(s)
- Natalia V. Dementieva
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
- Correspondence: (N.V.D.); (M.N.R.)
| | - Yuri S. Shcherbakov
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
| | - Valentina I. Tyshchenko
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
| | | | - Anatoly B. Vakhrameev
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
| | - Olga A. Nikolaeva
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
| | - Anna E. Ryabova
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
| | - Anastasiia I. Azovtseva
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
| | - Olga V. Mitrofanova
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
| | - Grigoriy K. Peglivanyan
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
| | - Natalia R. Reinbah
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
| | | | - Michael N. Romanov
- School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK
- Correspondence: (N.V.D.); (M.N.R.)
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15
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Fu W, Wang R, Xu N, Wang J, Li R, Asadollahpour Nanaei H, Nie Q, Zhao X, Han J, Yang N, Jiang Y. Galbase: a comprehensive repository for integrating chicken multi-omics data. BMC Genomics 2022; 23:364. [PMID: 35549894 PMCID: PMC9097087 DOI: 10.1186/s12864-022-08598-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 04/28/2022] [Indexed: 11/10/2022] Open
Abstract
Background Multi-omics data can provide a stereoscopic view to explore potential causal variations and genes, as well as underlying genetic mechanisms of complex traits. However, for many non-mammalian species, including chickens, these resources are poorly integrated and reused, greatly limiting genetic research and breeding processes of the species. Results Here, we constructed Galbase, an easily accessible repository that integrates public chicken multi-omics data from 928 re-sequenced genomes, 429 transcriptomes, 379 epigenomes, 15,275 QTL entries, and 7,526 associations. A total of 21.67 million SNPs, 2.71 million InDels, and 488,583 cis-regulatory elements were included. Galbase allows users to retrieve genomic variations in geographical maps, gene expression profiling in heatmaps, and epigenomic signals in peak patterns. It also provides modules for batch annotation of genes, regions, and loci based on multi-layered omics data. Additionally, a series of convenient tools, including the UCSC Genome Browser, WashU Epigenome Browser, BLAT, BLAST, and LiftOver, were also integrated to facilitate search, visualization, and analysis of sequence features. Conclusion Galbase grants new opportunities to research communities to undertake in-depth functional genomic studies on chicken. All features of Galbase make it a useful resource to identify genetic variations responsible for chicken complex traits. Galbase is publicly available at http://animal.nwsuaf.edu.cn/ChickenVar. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08598-2.
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Affiliation(s)
- Weiwei Fu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Rui Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Naiyi Xu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Jinxin Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Ran Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Hojjat Asadollahpour Nanaei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Qinghua Nie
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Xin Zhao
- Department of Animal Science, McGill University, Montreal, Québec, Canada
| | - Jianlin Han
- CAAS-ILRI Joint Laboratory On Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.,Livestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi, Kenya
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100193, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China. .,Center for Functional Genomics, Institute of Future Agriculture, Northwest A&F University, Yangling, China.
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Genetic Differentiation among Livestock Breeds—Values for Fst. Animals (Basel) 2022; 12:ani12091115. [PMID: 35565543 PMCID: PMC9103131 DOI: 10.3390/ani12091115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/19/2022] [Accepted: 04/25/2022] [Indexed: 12/02/2022] Open
Abstract
Simple Summary The degree of relationship among livestock breeds can be quantified by the Fst statistic, which measures the extent of genetic differentiation between them. An Fst value of 0.1 has often been taken as indicating that two breeds are indeed genetically distinct, but this concept has not been evaluated critically. Here, Fst values have been collated for the six major livestock species: cattle, sheep, goats, pigs, horses, and chickens. These values are remarkably variable both within and between species, demonstrating that Fst > 0.1 is not a reliable criterion for breed distinctiveness. However, the large body of Fst data accumulated in the last 20–30 years represents an untapped database that could contribute to the development of interdisciplinary research involving livestock breeds. Abstract (1) Background: The Fst statistic is widely used to characterize between-breed relationships. Fst = 0.1 has frequently been taken as indicating genetic distinctiveness between breeds. This study investigates whether this is justified. (2) Methods: A database was created of 35,080 breed pairs and their corresponding Fst values, deduced from microsatellite and SNP studies covering cattle, sheep, goats, pigs, horses, and chickens. Overall, 6560 (19%) of breed pairs were between breeds located in the same country, 7395 (21%) between breeds of different countries within the same region, 20,563 (59%) between breeds located far apart, and 562 (1%) between a breed and the supposed wild ancestor of the species. (3) Results: General values for between-breed Fst were as follows, cattle: microsatellite 0.06–0.12, SNP 0.08–0.15; sheep: microsatellite 0.06–0.10, SNP 0.06–0.17; horses: microsatellite 0.04–0.11, SNP 0.08–0.12; goats: microsatellite 0.04–0.14, SNP 0.08–0.16; pigs: microsatellite 0.06–0.27, SNP 0.15–0.22; chickens: microsatellite 0.05–0.28, SNP 0.08–0.26. (4) Conclusions: (1) Large amounts of Fst data are available for a substantial proportion of the world’s livestock breeds, (2) the value for between-breed Fst of 0.1 is not appropriate owing to its considerable variability, and (3) accumulated Fst data may have value for interdisciplinary research.
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Genome-wide run of homozygosity analysis reveals candidate genomic regions associated with environmental adaptations of Tibetan native chickens. BMC Genomics 2022; 23:91. [PMID: 35100979 PMCID: PMC8805376 DOI: 10.1186/s12864-021-08280-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 12/23/2021] [Indexed: 01/12/2023] Open
Abstract
Background In Tibet, the two most important breeds are Tibetan chicken and Lhasa white chicken, and the duo exhibit specific adaptations to the high altitude thereby supplying proteins for humans living in the plateau. These breeds are partly included in the conservation plans because they represent important chicken genetic resources. However, the genetic diversity of these chickens is rarely investigated. Based on whole-genome sequencing data of 113 chickens from 4 populations of Tibetan chicken including Shigatse (SH), Nyemo (NM), Dagze (DZ) and Nyingchi (LZ), as well as Lhasa white (LW) chicken breed, we investigated the genetic diversity of these chicken breeds by genetic differentiation, run of homozygosity (ROH), genomic inbreeding and selection signature analyses. Results Our results revealed high genetic diversity across the five chicken populations. The linkage disequilibrium decay was highest in LZ, while subtle genetic differentiation was found between LZ and other populations (Fst ranging from 0.05 to 0.10). Furthermore, the highest ROH-based inbreeding estimate (FROH) of 0.11 was observed in LZ. In other populations, the FROH ranged from 0.04 to 0.06. In total, 74, 111, 62, 42 and 54 ROH islands containing SNPs ranked top 1% for concurrency were identified in SH, NM, DZ, LZ and LW, respectively. Genes common to the ROH islands in the five populations included BDNF, CCDC34, LGR4, LIN7C, GLS, LOC101747789, MYO1B, STAT1 and STAT4. This suggested their essential roles in adaptation of the chickens. We also identified a common candidate genomic region harboring AMY2A, NTNG1 and VAV3 genes in all populations. These genes had been implicated in digestion, neurite growth and high-altitude adaptation. Conclusions High genetic diversity is observed in Tibetan native chickens. Inbreeding is more intense in the Nyingchi population which is also genetically distant from other chicken populations. Candidate genes in ROH islands are likely to be the drivers of adaptation to high altitude exhibited by the five Tibetan native chicken populations. Our findings contribute to the understanding of genetic diversity offer valuable insights for the genetic mechanism of adaptation, and provide veritable tools that can help in the design and implementation of breeding and conservation strategies for Tibetan native chickens. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-08280-z.
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Soglia D, Sartore S, Lasagna E, Castellini C, Cendron F, Perini F, Cassandro M, Marzoni M, Iaffaldano N, Buccioni A, Dabbou S, Castillo A, Maione S, Bianchi C, Profiti M, Sacchi P, Cerolini S, Schiavone A. Genetic Diversity of 17 Autochthonous Italian Chicken Breeds and Their Extinction Risk Status. Front Genet 2021; 12:715656. [PMID: 34594362 PMCID: PMC8477013 DOI: 10.3389/fgene.2021.715656] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 07/26/2021] [Indexed: 11/29/2022] Open
Abstract
The preservation of genetic variability of autochthonous poultry breeds is crucial in global biodiversity. A recent report revealed small breed size and potential risk of extinction of all native Italian poultry breeds; therefore, a correct assessment of their genetic diversity is necessary for a suitable management of their preservation. In this work, we provided an overview of the contribution to poultry biodiversity of some Italian autochthonous breeds reared in conservation centers devoted to local biodiversity preservation. The level of genetic diversity, molecular kinship, inbreeding, contribution to overall genetic diversity, and rate of extinction of each breed were analyzed with a set of 14 microsatellite loci in 17 autochthonous chicken breeds. To evaluate genetic variability, total number (Na), and effective number (Ne) of alleles, observed (Ho) and expected (He) heterozygosity, and F (Wright’s inbreeding coefficient) index were surveyed. The contribution of each analyzed breed to genetic diversity of the whole dataset was assessed using MolKin3.0; global genetic diversity and allelic richness contributions were evaluated. All the investigated loci were polymorphic; 209 alleles were identified (94 of which private alleles). The average number of alleles per locus was 3.62, and the effective number of alleles was 2.27. The Ne resulted lower in all breeds due to the presence of low-frequency alleles that can be easily lost by genetic drift, thus reducing the genetic variability of the breeds, and increasing their risk of extinction. The global molecular kinship was 27%, the average breed molecular kinship was 53%, and the mean inbreeding rate 43%, with a self-coancestry of 78%. Wright’s statistical analysis showed a 41% excess of homozygous due to breed genetic differences (34%) and to inbreeding within the breed (9%). Genetic variability analysis showed that 11 breeds were in endangered status. The contribution to Italian poultry genetic diversity, estimated as global genetic diversity, and ranged from 30.2 to 98.5%. In conclusion, the investigated breeds maintain a unique genetic pattern and play an important role in global Italian poultry biodiversity, providing a remarkable contribution to genetic variability.
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Affiliation(s)
- Dominga Soglia
- Dipartimento di Scienze Veterinarie, Università degli Studi di Torino, Turin, Italy
| | - Stefano Sartore
- Dipartimento di Scienze Veterinarie, Università degli Studi di Torino, Turin, Italy
| | - Emiliano Lasagna
- Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università degli Studi di Perugia, Perugia, Italy
| | - Cesare Castellini
- Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università degli Studi di Perugia, Perugia, Italy
| | - Filippo Cendron
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), Università di Padova, Viale dell'Università, Legnaro, Italy
| | - Francesco Perini
- Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università degli Studi di Perugia, Perugia, Italy
| | - Martino Cassandro
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), Università di Padova, Viale dell'Università, Legnaro, Italy
| | | | - Nicolaia Iaffaldano
- Dipartimento Agricoltura, Ambiente e Alimenti, Università degli Studi del Molise, Campobasso, Italy
| | - Arianna Buccioni
- Dipartimento di Scienze e Tecnologie Agrarie, Alimentari, Ambientali e Forestali, Università di Firenze, Florence, Italy
| | - Sihem Dabbou
- Center Agriculture Food Environment (C3A), University of Trento, Trento, Italy.,Research and Innovation Center, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Annelisse Castillo
- Dipartimento di Scienze Veterinarie, Università degli Studi di Torino, Turin, Italy
| | - Sandra Maione
- Dipartimento di Scienze Veterinarie, Università degli Studi di Torino, Turin, Italy
| | - Chiara Bianchi
- Dipartimento di Scienze Veterinarie, Università degli Studi di Torino, Turin, Italy
| | - Margherita Profiti
- Dipartimento di Scienze Veterinarie, Università degli Studi di Torino, Turin, Italy
| | - Paola Sacchi
- Dipartimento di Scienze Veterinarie, Università degli Studi di Torino, Turin, Italy
| | - Silvia Cerolini
- Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, Lodi, Italy
| | - Achille Schiavone
- Dipartimento di Scienze Veterinarie, Università degli Studi di Torino, Turin, Italy
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Genetic Diversity and Identification of Homozygosity-Rich Genomic Regions in Seven Italian Heritage Turkey ( Meleagris gallopavo) Breeds. Genes (Basel) 2021; 12:genes12091342. [PMID: 34573324 PMCID: PMC8470100 DOI: 10.3390/genes12091342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 08/24/2021] [Accepted: 08/26/2021] [Indexed: 01/10/2023] Open
Abstract
Italian autochthonous turkey breeds are an important reservoir of genetic biodiversity that should be maintained with an in vivo approach. The aim of this study, part of the TuBAvI national project on biodiversity, was to use run of homozygosity (ROH), together with others statistical approaches (e.g., Wright's F-statistics, principal component analysis, ADMIXTURE analysis), to investigate the genomic diversity in several heritage turkey breeds. We performed a genome-wide characterization of ROH-rich regions in seven autochthonous turkey breeds, i.e., Brianzolo (Brzl), Bronzato Comune Italiano (BrCI), Bronzato dei Colli Euganei (CoEu), Parma e Piacenza (PrPc), Nero d'Italia (NeIt), Ermellinato di Rovigo (ErRo) and Romagnolo (Roma). ROHs were detected based on a 650K SNP genotyping. ROH_islands were identified as homozygous ROH regions shared by at least 75% of birds (within breed). Annotation of genes was performed with DAVID. The admixture analyses revealed that six breeds are unique populations while the Roma breed consists in an admixture of founder populations. Effective population size estimated on genomic data shows a numeric contraction. ROH_islands harbour genes that may be interesting for target selection in commercial populations also. Among them the PTGS2 and PLA2G4A genes on chr10 were related to reproduction efficiency. This is the first study mapping genetic variation in autochthonous turkey populations. Breeds were genetically different among them, with the Roma breed proving to be a mixture of the other breeds. The ROH_islands identified harboured genes peculiar to the selection that occurred in heritage breeds. Finally, this study releases previously undisclosed information on existing genetic variation in the turkey species.
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