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Siddiqui SA, Toppi V, Syiffah L. A comparative review on Ayam Cemani chicken - A comparison with the most common chicken species in terms of nutritional values, LCA, price and consumer acceptance. Trop Anim Health Prod 2024; 56:161. [PMID: 38733430 PMCID: PMC11088562 DOI: 10.1007/s11250-024-03980-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/05/2024] [Indexed: 05/13/2024]
Abstract
Chickens are definitely among the most prevalent and broadly distributed domestic species. Among these, Ayam Cemani, also known as black chicken, is a rare Indonesian chicken breed originating from the island of Java. The main characteristic of this breed is that the body, both internally and externally, is entirely black. This is due to a condition named fibro melanosis, in which there is an over accumulation of melanin pigment in body tissues. In addition to this, Ayam Cemani meat results to be also higher in protein content and lower in fat. Moreover, Ayam Cemani meat is also known to have antioxidant and glucose-binding capacities. These properties make it very desirable within the market and consequently very expensive. Their meat is also used traditionally by tribal healers in the treatment of some chronic illnesses. In general, compared to other chicken species, the Ayam Cemani showed an higher genetic resistance to some infectious diseases commonly affecting poultry species. As regard the breeding, Ayam Cemani is a unique breed which may only be raised in specific locations, characterized to be a slowly growing breed with a lower body weight in comparison to the other poultry breeds. Nowadays, due to an improvement in the management, the nutrition and diseases control, it is possible to enhance their productivity. To date, there are not many studies in the literature on the specific breed of Ayam Cemani. For this reason, this review aims to provide a comprehensive overview of all the knowledge of the Ayam Cemani breed, the nutritional composition of the meat and consumer acceptance.
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Affiliation(s)
- Shahida Anusha Siddiqui
- Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Essigberg 3, 94315, Straubing, Germany.
- German Institute of Food Technologies (DIL e.V.), Prof.-von-Klitzing Str. 7, 49610, Quakenbrück, Germany.
| | - Valeria Toppi
- Department of Veterinary Medicine, University of Perugia, Via S. Costanzo 4, 06126, Perugia, Italy
| | - Layyinatus Syiffah
- Nutrition Science Department, Faculty of Medicine, Diponegoro University, Semarang, 50275, Indonesia
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David G, Bertolotti A, Layer R, Scofield D, Hayward A, Baril T, Burnett HA, Gudmunds E, Jensen H, Husby A. Calling Structural Variants with Confidence from Short-Read Data in Wild Bird Populations. Genome Biol Evol 2024; 16:evae049. [PMID: 38489588 PMCID: PMC11018544 DOI: 10.1093/gbe/evae049] [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: 11/29/2022] [Revised: 02/28/2024] [Accepted: 03/07/2024] [Indexed: 03/17/2024] Open
Abstract
Comprehensive characterization of structural variation in natural populations has only become feasible in the last decade. To investigate the population genomic nature of structural variation, reproducible and high-confidence structural variation callsets are first required. We created a population-scale reference of the genome-wide landscape of structural variation across 33 Nordic house sparrows (Passer domesticus). To produce a consensus callset across all samples using short-read data, we compare heuristic-based quality filtering and visual curation (Samplot/PlotCritic and Samplot-ML) approaches. We demonstrate that curation of structural variants is important for reducing putative false positives and that the time invested in this step outweighs the potential costs of analyzing short-read-discovered structural variation data sets that include many potential false positives. We find that even a lenient manual curation strategy (e.g. applied by a single curator) can reduce the proportion of putative false positives by up to 80%, thus enriching the proportion of high-confidence variants. Crucially, in applying a lenient manual curation strategy with a single curator, nearly all (>99%) variants rejected as putative false positives were also classified as such by a more stringent curation strategy using three additional curators. Furthermore, variants rejected by manual curation failed to reflect the expected population structure from SNPs, whereas variants passing curation did. Combining heuristic-based quality filtering with rapid manual curation of structural variants in short-read data can therefore become a time- and cost-effective first step for functional and population genomic studies requiring high-confidence structural variation callsets.
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Affiliation(s)
- Gabriel David
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | | | - Ryan Layer
- BioFrontiers Institute, University of Colorado, Boulder, CO, USA
- Department of Computer Science, University of Colorado, Boulder, CO, USA
| | - Douglas Scofield
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Alexander Hayward
- Centre for Ecology and Conservation, University of Exeter, Penryn Campus, Penryn, Cornwall, UK
| | - Tobias Baril
- Centre for Ecology and Conservation, University of Exeter, Penryn Campus, Penryn, Cornwall, UK
| | - Hamish A Burnett
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Erik Gudmunds
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Henrik Jensen
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Arild Husby
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
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3
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Zhu F, Yin ZT, Zhao QS, Sun YX, Jie YC, Smith J, Yang YZ, Burt DW, Hincke M, Zhang ZD, Yuan MD, Kaufman J, Sun CJ, Li JY, Shao LW, Yang N, Hou ZC. A chromosome-level genome assembly for the Silkie chicken resolves complete sequences for key chicken metabolic, reproductive, and immunity genes. Commun Biol 2023; 6:1233. [PMID: 38057566 PMCID: PMC10700341 DOI: 10.1038/s42003-023-05619-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: 08/03/2022] [Accepted: 11/21/2023] [Indexed: 12/08/2023] Open
Abstract
A set of high-quality pan-genomes would help identify important genes that are still hidden/incomplete in bird reference genomes. In an attempt to address these issues, we have assembled a de novo chromosome-level reference genome of the Silkie (Gallus gallus domesticus), which is an important avian model for unique traits, like fibromelanosis, with unclear genetic foundation. This Silkie genome includes the complete genomic sequences of well-known, but unresolved, evolutionarily, endocrinologically, and immunologically important genes, including leptin, ovocleidin-17, and tumor-necrosis factor-α. The gap-less and manually annotated MHC (major histocompatibility complex) region possesses 38 recently identified genes, with differentially regulated genes recovered in response to pathogen challenges. We also provide whole-genome methylation and genetic variation maps, and resolve a complex genetic region that may contribute to fibromelanosis in these animals. Finally, we experimentally show leptin binding to the identified leptin receptor in chicken, confirming an active leptin ligand-receptor system. The Silkie genome assembly not only provides a rich data resource for avian genome studies, but also lays a foundation for further functional validation of resolved genes.
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Affiliation(s)
- Feng Zhu
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; College of Animal Science and Technology, China Agricultural University, No. 2 Yuanmingyuan West Rd, 100193, Beijing, China
| | - Zhong-Tao Yin
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; College of Animal Science and Technology, China Agricultural University, No. 2 Yuanmingyuan West Rd, 100193, Beijing, China
| | - Qiang-Sen Zhao
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; College of Animal Science and Technology, China Agricultural University, No. 2 Yuanmingyuan West Rd, 100193, Beijing, China
| | - Yun-Xiao Sun
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; College of Animal Science and Technology, China Agricultural University, No. 2 Yuanmingyuan West Rd, 100193, Beijing, China
| | - Yu-Chen Jie
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; College of Animal Science and Technology, China Agricultural University, No. 2 Yuanmingyuan West Rd, 100193, Beijing, China
| | - Jacqueline Smith
- The Roslin Institute & R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK
| | - Yu-Ze Yang
- Beijing General Station of Animal Husbandry, 100101, Beijing, China
| | - David W Burt
- The Roslin Institute & R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK
- The University of Queensland, St. Lucia, QLD, 4072, Australia
| | - Maxwell Hincke
- Department of Cellular and Molecular Medicine, Department of Innovation in Medical Education, Faculty of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, KIH 8M5, Canada
| | - Zi-Ding Zhang
- College of Biological Sciences, China Agricultural University, 100193, Beijing, China
| | - Meng-Di Yuan
- College of Biological Sciences, China Agricultural University, 100193, Beijing, China
| | - Jim Kaufman
- Institute for Immunology and Infection Research, University of Edinburgh, Edinburgh, EH9 3FL, UK
- Department of Pathology, University of Cambridge, Cambridge, CB2 1QP, UK
| | - Cong-Jiao Sun
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; College of Animal Science and Technology, China Agricultural University, No. 2 Yuanmingyuan West Rd, 100193, Beijing, China
| | - Jun-Ying Li
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; College of Animal Science and Technology, China Agricultural University, No. 2 Yuanmingyuan West Rd, 100193, Beijing, China
| | - Li-Wa Shao
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; College of Animal Science and Technology, China Agricultural University, No. 2 Yuanmingyuan West Rd, 100193, Beijing, China.
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; College of Animal Science and Technology, China Agricultural University, No. 2 Yuanmingyuan West Rd, 100193, Beijing, China.
| | - Zhuo-Cheng Hou
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; College of Animal Science and Technology, China Agricultural University, No. 2 Yuanmingyuan West Rd, 100193, Beijing, China.
- Sanya Institute of China Agricultural University, Beijing, China.
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Shinde SS, Sharma A, Vijay N. Decoding the fibromelanosis locus complex chromosomal rearrangement of black-bone chicken: genetic differentiation, selective sweeps and protein-coding changes in Kadaknath chicken. Front Genet 2023; 14:1180658. [PMID: 37424723 PMCID: PMC10325862 DOI: 10.3389/fgene.2023.1180658] [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: 03/06/2023] [Accepted: 06/05/2023] [Indexed: 07/11/2023] Open
Abstract
Black-bone chicken (BBC) meat is popular for its distinctive taste and texture. A complex chromosomal rearrangement at the fibromelanosis (Fm) locus on the 20th chromosome results in increased endothelin-3 (EDN3) gene expression and is responsible for melanin hyperpigmentation in BBC. We use public long-read sequencing data of the Silkie breed to resolve high-confidence haplotypes at the Fm locus spanning both Dup1 and Dup2 regions and establish that the Fm_2 scenario is correct of the three possible scenarios of the complex chromosomal rearrangement. The relationship between Chinese and Korean BBC breeds with Kadaknath native to India is underexplored. Our data from whole-genome re-sequencing establish that all BBC breeds, including Kadaknath, share the complex chromosomal rearrangement junctions at the fibromelanosis (Fm) locus. We also identify two Fm locus proximal regions (∼70 Kb and ∼300 Kb) with signatures of selection unique to Kadaknath. These regions harbor several genes with protein-coding changes, with the bactericidal/permeability-increasing-protein-like gene having two Kadaknath-specific changes within protein domains. Our results indicate that protein-coding changes in the bactericidal/permeability-increasing-protein-like gene hitchhiked with the Fm locus in Kadaknath due to close physical linkage. Identifying this Fm locus proximal selective sweep sheds light on the genetic distinctiveness of Kadaknath compared to other BBC.
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Affiliation(s)
| | | | - Nagarjun Vijay
- Computational Evolutionary Genomics Lab, Department of Biological Sciences, IISER Bhopal, Bhauri, Madhya Pradesh, India
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Zong D, Qiao Z, Zhou J, Li P, Gan P, Ren M, He C. Chloroplast genome sequence of triploid Toxicodendron vernicifluum and comparative analyses with other lacquer chloroplast genomes. BMC Genomics 2023; 24:56. [PMID: 36721120 PMCID: PMC9887819 DOI: 10.1186/s12864-023-09154-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 01/27/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Toxicodendron vernicifluum, belonging to the family Anacardiaceae, is an important commercial arbor species, which can provide us with the raw lacquer, an excellent adhesive and painting material used to make lacquer ware. Compared with diploid, triploid lacquer tree has a higher yield of raw lacquer and stronger resistance to stress. Triploid T. vernicifluum was a newly discovered natural triploid lacquer tree. However, the taxonomy of triploid T. vernicifluum has remained uncertain. Here, we sequenced and analyzed the complete chloroplast (cp) genome of triploid T. vernicifluum and compared it with related species of Toxicodendron genus based on chloroplast genome and SSR markers. RESULTS The plastome of triploid T. vernicifluum is 158,221 bp in length, including a pair of inverted repeats (IRs) of 26,462 bp, separated by a large single-copy region of 86,951 bp and a small single-copy region of 18,346 bp. In total, 132 genes including 87 protein-coding genes, 37 tRNA genes and 8 rRNA genes were identified in the triploid T. vernicifluum. Among these, 16 genes were duplicated in the IR regions, 14 genes contain one intron, while three genes contain two introns. After nucleotide substitutions, seven small inversions were analyzed in the chloroplast genomes, eight hotspot regions were found, which could be useful molecular genetic markers for future population genetics. Phylogenetic analyses showed that triploid T. vernicifluum was a sister to T. vernicifluum cv. Dahongpao and T. vernicifluum cv. Hongpigaobachi. Moreover, phylogenetic clustering based on the SSR markers showed that all the samples of triploid T. vernicifluum, T. vernicifluum cv. Dahongpao and T. vernicifluum cv. Hongpigaobachi in one group, while the samples of T. vernicifluum and T. succedaneum in another group, which is consistent with the cp genome and morphological analysis. CONCLUSIONS The current genomic datasets provide pivotal genetic resources to determine the phylogenetic relationships, variety identification, breeding and resource exploitation, and future genetic diversity-related studies of T. vernicifluum.
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Affiliation(s)
- Dan Zong
- grid.412720.20000 0004 1761 2943Key Laboratory for Forestry Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China ,grid.412720.20000 0004 1761 2943Key Laboratory for Forest Genetics and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China ,grid.412720.20000 0004 1761 2943Key Laboratory of Biodiversity Conservation in Southwest China, State Forestry Administration, Southwest Forestry University, Kunming, China
| | - Zhensheng Qiao
- grid.412720.20000 0004 1761 2943Key Laboratory for Forestry Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China ,grid.412720.20000 0004 1761 2943Key Laboratory for Forest Genetics and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China
| | - Jintao Zhou
- grid.412720.20000 0004 1761 2943Key Laboratory for Forestry Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China ,grid.412720.20000 0004 1761 2943Key Laboratory for Forest Genetics and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China
| | - Peiling Li
- grid.412720.20000 0004 1761 2943Key Laboratory for Forestry Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China ,grid.412720.20000 0004 1761 2943Key Laboratory for Forest Genetics and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China
| | - Peihua Gan
- grid.412720.20000 0004 1761 2943Key Laboratory for Forestry Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China ,grid.412720.20000 0004 1761 2943Key Laboratory for Forest Genetics and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China
| | - Meirong Ren
- grid.412720.20000 0004 1761 2943Key Laboratory of Biodiversity Conservation in Southwest China, State Forestry Administration, Southwest Forestry University, Kunming, China
| | - Chengzhong He
- grid.412720.20000 0004 1761 2943Key Laboratory for Forestry Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China ,grid.412720.20000 0004 1761 2943Key Laboratory for Forest Genetics and Tree Improvement & Propagation in Universities of Yunnan Province, Southwest Forestry University, Kunming, China ,grid.412720.20000 0004 1761 2943Key Laboratory of Biodiversity Conservation in Southwest China, State Forestry Administration, Southwest Forestry University, Kunming, China
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6
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Haunshi S, Devatkal S, Prince LLL, Ullengala R, Ramasamy K, Chatterjee R. Carcass Characteristics, Meat Quality and Nutritional Composition of Kadaknath, a Native Chicken Breed of India. Foods 2022; 11:foods11223603. [PMID: 36429195 PMCID: PMC9689593 DOI: 10.3390/foods11223603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 11/16/2022] Open
Abstract
The study was carried out to investigate the carcass and meat quality traits and nutritional profile of the meat of the Kadaknath, a unique native chicken breed in comparison with commercial broilers. The yield of the carcass, breast and giblets of the Kadaknath was lesser (p < 0.01), while that of the legs, wings, back, and neck was higher (p < 0.01) than broilers. The meat of the Kadaknath was significantly (p < 0.0001) darker (42.44, 50.92) and more yellow (6.23, 8.99) than broilers. The decline in pH of the meat was lower (p < 0.001) in the Kadaknath compared to broilers. Kadaknath meat had more protein and less fat, moisture and ash content than broilers (p < 0.01). Furthermore, it was richer (p < 0.01) in 11 amino acids, including those which are known to impart a sweet and umami taste, than the meat of broilers (3 amino acids). Both genotypes were almost similar in meeting the daily requirements of indispensable amino acids of adult human. The study concluded that the Kadaknath differed in carcass and meat quality characteristics from the broilers, and the nutritional quality of Kadaknath meat in terms of high protein and less fat and higher content of amino acids (tasty type) was better in Kadaknath meat as compared to broiler meat.
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Affiliation(s)
- Santosh Haunshi
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad 500030, India
- Correspondence:
| | - Suresh Devatkal
- ICAR-National Research Centre on Meat, Chengicherla, Hyderabad 500092, India
| | | | - Rajkumar Ullengala
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad 500030, India
| | - Kannaki Ramasamy
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad 500030, India
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7
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Cho E, Cho S, Kim M, Ediriweera TK, Seo D, Lee SS, Cha J, Jin D, Kim YK, Lee JH. Single nucleotide polymorphism marker combinations for classifying Yeonsan Ogye chicken using a machine learning approach. JOURNAL OF ANIMAL SCIENCE AND TECHNOLOGY 2022; 64:830-841. [PMID: 36287747 PMCID: PMC9574617 DOI: 10.5187/jast.2022.e64] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 07/15/2022] [Accepted: 08/01/2022] [Indexed: 11/27/2022]
Abstract
Genetic analysis has great potential as a tool to differentiate between different species and breeds of livestock. In this study, the optimal combinations of single nucleotide polymorphism (SNP) markers for discriminating the Yeonsan Ogye chicken (Gallus gallus domesticus) breed were identified using high-density 600K SNP array data. In 3,904 individuals from 198 chicken breeds, SNP markers specific to the target population were discovered through a case-control genome-wide association study (GWAS) and filtered out based on the linkage disequilibrium blocks. Significant SNP markers were selected by feature selection applying two machine learning algorithms: Random Forest (RF) and AdaBoost (AB). Using a machine learning approach, the 38 (RF) and 43 (AB) optimal SNP marker combinations for the Yeonsan Ogye chicken population demonstrated 100% accuracy. Hence, the GWAS and machine learning models used in this study can be efficiently utilized to identify the optimal combination of markers for discriminating target populations using multiple SNP markers.
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Affiliation(s)
- Eunjin Cho
- Department of Bio-AI Convergence, Chungnam
National University, Daejeon 34134, Korea
| | - Sunghyun Cho
- Research and Development Center,
Insilicogen Inc., Yongin 19654, Korea
| | - Minjun Kim
- Division of Animal and Dairy Science,
Chungnam National University, Daejeon 34134, Korea
| | | | - Dongwon Seo
- Department of Bio-AI Convergence, Chungnam
National University, Daejeon 34134, Korea,Research Institute TNT Research
Company, Jeonju 54810, Korea
| | | | - Jihye Cha
- Animal Genome & Bioinformatics,
National Institute of Animal Science, Rural Development
Administration, Wanju 55365, Korea
| | - Daehyeok Jin
- Animal Genetic Resources Research Center,
National Institute of Animal Science, Rural Development
Administration, Hamyang 50000, Korea
| | - Young-Kuk Kim
- Department of Bio-AI Convergence, Chungnam
National University, Daejeon 34134, Korea
| | - Jun Heon Lee
- Department of Bio-AI Convergence, Chungnam
National University, Daejeon 34134, Korea,Division of Animal and Dairy Science,
Chungnam National University, Daejeon 34134, Korea,Corresponding author: Jun Heon Lee,
Department of Bio-AI Convergence, Chungnam National University, Daejeon 34134,
Korea. Tel: +82-42-821-5779, E-mail:
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8
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Jiao Z, Tian Y, Hu B, Li Q, Liu S. Genome Structural Variation Landscape and Its Selection Signatures in the Fast-growing Strains of the Pacific Oyster, Crassostrea gigas. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2021; 23:736-748. [PMID: 34498173 DOI: 10.1007/s10126-021-10060-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 08/17/2021] [Indexed: 06/13/2023]
Abstract
The Pacific oyster (Crassostrea gigas) genome is highly polymorphic and affluent in structural variations (SVs), a significant source of genetic variation underlying inter-individual differences. Here, we used two genome assemblies and 535 individuals of genome re-sequencing data to construct a comprehensive landscape of structural variations in the Pacific oyster. Through whole-genome alignment, 11,087 short SVs and 11,561 copy number variations (CNVs) were identified. While analysis of re-sequencing data revealed 511,170 short SVs and 979,486 CNVs, a total of 63,100 short SVs and 58,182 CNVs were identified in at least 20 samples and regarded as common variations. Based on the common short SVs, both Fst and Pi ratio statistical methods were employed to detect the selective sweeps between 20 oyster individuals from the fast-growing strain and 20 individuals from their corresponding wild population. A total of 514 overlapped regions (8.76 Mb), containing 746 candidate genes, were identified by both approaches, in addition with 103 genes within 61 common CNVs only detected in the fast-growing strains. The GO enrichment and KEGG pathway analysis indicated that the identified candidate genes were mostly associated with apical part of cell and were significantly enriched in several metabolism-related pathways, including tryptophan metabolism and histidine metabolism. This work provided a comprehensive landscape of SVs and revealed their responses to selection, which will be valuable for further investigations on genome evolution under selection in the oysters.
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Affiliation(s)
- Zexin Jiao
- Key Laboratory of Mariculture (Ocean University of China), Ocean University of China Ministry of Education College of Fisheries, Qingdao, 266003, China
| | - Yuan Tian
- Key Laboratory of Mariculture (Ocean University of China), Ocean University of China Ministry of Education College of Fisheries, Qingdao, 266003, China
| | - Boyang Hu
- Key Laboratory of Mariculture (Ocean University of China), Ocean University of China Ministry of Education College of Fisheries, Qingdao, 266003, China
| | - Qi Li
- Key Laboratory of Mariculture (Ocean University of China), Ocean University of China Ministry of Education College of Fisheries, Qingdao, 266003, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
| | - Shikai Liu
- Key Laboratory of Mariculture (Ocean University of China), Ocean University of China Ministry of Education College of Fisheries, Qingdao, 266003, China.
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China.
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9
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Cho E, Kim M, Manjula P, Cho SH, Seo D, Lee SS, Lee JH. A retroviral insertion in the tyrosinase ( TYR) gene is associated with the recessive white plumage color in the Yeonsan Ogye chicken. JOURNAL OF ANIMAL SCIENCE AND TECHNOLOGY 2021; 63:751-758. [PMID: 34447952 PMCID: PMC8367395 DOI: 10.5187/jast.2021.e71] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/04/2021] [Accepted: 05/09/2021] [Indexed: 01/16/2023]
Abstract
The recessive white (locus c) phenotype observed in chickens is associated with three alleles (recessive white c, albino ca , and red-eyed white cre ) and causative mutations in the tyrosinase (TYR) gene. The recessive white mutation (c) inhibits the transcription of TYR exon 5 due to a retroviral sequence insertion in intron 4. In this study, we genotyped and sequenced the insertion in TYR intron 4 to identify the mutation causing the unusual white plumage of Yeonsan Ogye chickens, which normally have black plumage. The white chickens had a homozygous recessive white genotype that matched the sequence of the recessive white type, and the inserted sequence exhibited 98% identity with the avian leukosis virus ev-1 sequence. In comparison, brindle and normal chickens had the homozygous color genotype, and their sequences were the same as the wild-type sequence, indicating that this phenotype is derived from other mutation(s). In conclusion, white chickens have a recessive white mutation allele. Since the size of the sample used in this study was limited, further research through securing additional samples to perform validation studies is necessary. Therefore, after validation studies, a selection system for conserving the phenotypic characteristics and genetic diversity of the population could be established if additional studies to elucidate specific phenotype-related genes in Yeonsan Ogye are performed.
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Affiliation(s)
- Eunjin Cho
- Department of Bio-Big Data, Chungnam National University, Daejeon 34134, Korea
| | - Minjun Kim
- Department of Bio-AI Convergence, Chungnam National University, Daejeon 34134, Korea
| | - Prabuddha Manjula
- Division of Animal & Dairy Science, Chungnam National University, Daejeon 34134, Korea
| | - Sung Hyun Cho
- Division of Animal & Dairy Science, Chungnam National University, Daejeon 34134, Korea
| | - Dongwon Seo
- Department of Bio-AI Convergence, Chungnam National University, Daejeon 34134, Korea.,Division of Animal & Dairy Science, Chungnam National University, Daejeon 34134, Korea
| | - Seung-Sook Lee
- Division of Animal & Dairy Science, Chungnam National University, Daejeon 34134, Korea.,Jisan Farm, Nonsan 32910, Korea
| | - Jun Heon Lee
- Department of Bio-Big Data, Chungnam National University, Daejeon 34134, Korea.,Department of Bio-AI Convergence, Chungnam National University, Daejeon 34134, Korea.,Division of Animal & Dairy Science, Chungnam National University, Daejeon 34134, Korea
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10
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Zhang X, Wang H, Lou L, Li Q, Zhang L, Ge Y. Transcript expression profiling of fibromelanosis-related genes in black-bone chickens. Br Poult Sci 2021; 63:133-141. [PMID: 34402346 DOI: 10.1080/00071668.2021.1966750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
1. The aim of the present study was to identify differentially expressed genes (DEGs) and metabolic pathways involved in this phenotype. Fibromelanosis is the most striking feature of black-bone chickens, such as the Silkie and Dongxiang indigenous breeds. Due to the accumulation of eumelanin in connective tissues, fibromelanosis manifests as black colouration of the skin, muscles, gut, and periosteum. Studies on fibromelanosis can provide useful information pertaining to human diseases and offer commercial value to the poultry industry. However, the genetic basis of fibromelanosis remains unclear.2. Digital gene expression analysis was performed on black and white skin samples collected from the HW1 black-bone chicken line to detect differences in genome-wide expression patterns. A total of >30 billion bp were sequenced, and 2,707,926,466 bp and 2,948,782,964 bp of clean data obtained for creation of libraries for black and white skin, respectively. In total, 252 DEGs from 15,508 mapped genes were identified with 83 up-regulated in white skin and 169 up-regulated in black skin.3. Gene ontology analysis highlighted that genes from the extracellular region and associated components were abundant among the DEGs. Pathway analysis revealed that many DEGs were linked to amino acid metabolism and the immune system. qRT-PCR validation using 14 genes showed good conformity with the sequence analysis of fibromelanosis-related genes.4. The results showed that L-dopachrometautomerase precursor (DCT), tyrosine aminotransferase (TAT), 4-hydroxyphenylpyruvate dioxygenase (HPD) from the tyrosine metabolism pathway, coagulation factor II (F2), fibrinogen beta chain (FGB), plasminogen (PLG) and complement component 7 (C7) from the complement and coagulation cascades were important genes in the fibromelanosis process in black-bone chickens. These candidate genes require further correlation analysis and functional verification.
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Affiliation(s)
- X Zhang
- Institute of Animal Husbandry, Hangzhou Academy of Agricultural Sciences, Hangzhou, China
| | - H Wang
- Institute of Animal Husbandry, Hangzhou Academy of Agricultural Sciences, Hangzhou, China
| | - L Lou
- Institute of Animal Husbandry, Hangzhou Academy of Agricultural Sciences, Hangzhou, China
| | - Q Li
- Institute of Animal Husbandry, Hangzhou Academy of Agricultural Sciences, Hangzhou, China
| | - L Zhang
- Institute of Animal Husbandry, Hangzhou Academy of Agricultural Sciences, Hangzhou, China
| | - Y Ge
- Institute of Animal Husbandry, Hangzhou Academy of Agricultural Sciences, Hangzhou, China
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11
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Núñez-León D, Cordero GA, Schlindwein X, Jensen P, Stoeckli E, Sánchez-Villagra MR, Werneburg I. Shifts in growth, but not differentiation, foreshadow the formation of exaggerated forms under chicken domestication. Proc Biol Sci 2021; 288:20210392. [PMID: 34130497 DOI: 10.1098/rspb.2021.0392] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Domestication provides an outstanding opportunity for biologists to explore the underpinnings of organismal diversification. In domesticated animals, selective breeding for exaggerated traits is expected to override genetic correlations that normally modulate phenotypic variation in nature. Whether this strong directional selection affects the sequence of tightly synchronized events by which organisms arise (ontogeny) is often overlooked. To address this concern, we compared the ontogeny of the red junglefowl (RJF) (Gallus gallus) to four conspecific lineages that underwent selection for traits of economic or ornamental value to humans. Trait differentiation sequences in embryos of these chicken breeds generally resembled the representative ancestral condition in the RJF, thus revealing that early ontogeny remains highly canalized even during evolution under domestication. This key finding substantiates that the genetic cost of domestication does not necessarily compromise early ontogenetic steps that ensure the production of viable offspring. Instead, disproportionate beak and limb growth (allometry) towards the end of ontogeny better explained phenotypes linked to intense selection for industrial-scale production over the last 100 years. Illuminating the spatial and temporal specificity of development is foundational to the enhancement of chicken breeds, as well as to ongoing research on the origins of phenotypic variation in wild avian species.
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Affiliation(s)
- Daniel Núñez-León
- Paläontologisches Institut und Museum, Universität Zürich, Karl Schmid-Strasse 4, 8006, Zürich, Switzerland
| | - Gerardo A Cordero
- Senckenberg Centre for Human Evolution and Palaeoenvironment (HEP) an der Eberhard Karls, Universität Tübingen, Tübingen, Germany.,Fachbereich Geowissenschaften, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | - Xenia Schlindwein
- Senckenberg Centre for Human Evolution and Palaeoenvironment (HEP) an der Eberhard Karls, Universität Tübingen, Tübingen, Germany.,Fachbereich Geowissenschaften, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | - Per Jensen
- IFM Biologi, AVIAN Behavioural Genomics and Physiology group, Linköping University, SE-58183 Linköping, Sweden
| | - Esther Stoeckli
- Department of Molecular Life Sciences, Universität Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland
| | - Marcelo R Sánchez-Villagra
- Paläontologisches Institut und Museum, Universität Zürich, Karl Schmid-Strasse 4, 8006, Zürich, Switzerland
| | - Ingmar Werneburg
- Senckenberg Centre for Human Evolution and Palaeoenvironment (HEP) an der Eberhard Karls, Universität Tübingen, Tübingen, Germany.,Fachbereich Geowissenschaften, Eberhard Karls Universität Tübingen, Tübingen, Germany
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12
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Huang X, Weng Z, He Y, Miao Y, Luo W, Zhang X, Zhong F, Du B. Mitochondrial DNA diversity and demographic history of Black-boned chickens in China. Mitochondrial DNA B Resour 2021; 6:1462-1467. [PMID: 33969196 PMCID: PMC8079009 DOI: 10.1080/23802359.2021.1912668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 03/29/2021] [Indexed: 11/30/2022] Open
Abstract
Black-boned chickens (Gallus domesticus, herein abbreviated BBCs) are well known for their unique appearance and medicinal properties and have a long breeding history in China. However, the genetic diversity and demographic history of BBCs remain unclear. In this study, we analyzed 844 mitochondrial DNA D-loop sequences, including 346 de novo sequences and 498 previously published sequences from 20 BBC breeds. We detected a generally high level of genetic diversity among the BBCs, with average haplotype and nucleotide diversities of 0.917 ± 0.0049 and 0.01422, respectively. Nucleotide diversity was highest in populations from Southwest China (0.01549 ± 0.00026), particularly in Yunnan Province (0.01624 ± 0.00025). Significant genetic divergence was detected between most breeds, particularly between Yunnan chickens and those from all other provinces. Haplogroups F and G had the highest levels of genetic diversity and were restricted to Southwest China, particularly Yunnan Province. Based on neutrality tests and mismatch distribution analyses, we did not obtain evidence for rapid population expansions and observed similar demographic histories in BBCs and local non-BBCs. Our results suggest that Chinese BBCs have complex breeding histories and may be selected in situ from local domestic chickens. These results improve our understanding of the genetic heritage and breeding histories of these desirable chickens.
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Affiliation(s)
- Xunhe Huang
- Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, School of Life Science, JiaYing University, Meizhou, China
| | - Zhuoxian Weng
- Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, School of Life Science, JiaYing University, Meizhou, China
- College of Animal Science and Technology, Hunan Agricultural University,Changsha, China
| | - Yujing He
- Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, School of Life Science, JiaYing University, Meizhou, China
| | - Yongwang Miao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Wei Luo
- College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Xiquan Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Fusheng Zhong
- Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, School of Life Science, JiaYing University, Meizhou, China
- College of Animal Science and Technology, Hunan Agricultural University,Changsha, China
| | - Bingwang Du
- Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, School of Life Science, JiaYing University, Meizhou, China
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13
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Chloroplast genome sequence of Chongming lima bean (Phaseolus lunatus L.) and comparative analyses with other legume chloroplast genomes. BMC Genomics 2021; 22:194. [PMID: 33736599 PMCID: PMC7977240 DOI: 10.1186/s12864-021-07467-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 02/23/2021] [Indexed: 11/16/2022] Open
Abstract
Background Lima bean (Phaseolus lunatus L.) is a member of subfamily Phaseolinae belonging to the family Leguminosae and an important source of plant proteins for the human diet. As we all know, lima beans have important economic value and great diversity. However, our knowledge of the chloroplast genome level of lima beans is limited. Results The chloroplast genome of lima bean was obtained by Illumina sequencing technology for the first time. The Cp genome with a length of 150,902 bp, including a pair of inverted repeats (IRA and IRB 26543 bp each), a large single-copy (LSC 80218 bp) and a small single-copy region (SSC 17598 bp). In total, 124 unique genes including 82 protein-coding genes, 34 tRNA genes, and 8 rRNA genes were identified in the P. lunatus Cp genome. A total of 61 long repeats and 290 SSRs were detected in the lima bean Cp genome. It has a typical 50 kb inversion of the Leguminosae family and an 70 kb inversion to subtribe Phaseolinae. rpl16, accD, petB, rsp16, clpP, ndhA, ndhF and ycf1 genes in coding regions was found significant variation, the intergenic regions of trnk-rbcL, rbcL-atpB, ndhJ-rps4, psbD-rpoB, atpI-atpA, atpA-accD, accD-psbJ, psbE-psbB, rsp11-rsp19, ndhF-ccsA was found in a high degree of divergence. A phylogenetic analysis showed that P. lunatus appears to be more closely related to P. vulgaris, V.unguiculata and V. radiata. Conclusions The characteristics of the lima bean Cp genome was identified for the first time, these results will provide useful insights for species identification, evolutionary studies and molecular biology research. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07467-8.
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14
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Saragih HT, Perdamaian AB, Sadiman, Roosdianto I, Daryono BS. Plumage colours Stability in Inbreed Pelung Chicken. BIO WEB OF CONFERENCES 2021. [DOI: 10.1051/bioconf/20213301005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Pelung is one of the most importance local chicken in Indonesia. Genetic introgression and inbreeding depression were the major threat for local chicken gene pool. The objective of this research was to investigate the effect of serial inbreeding mating to plumage colours of Pelung chicken. Pure Pelung chicken which purchased from Cianjur sub-district was undergo full-sib mating through five generation. All offspring phenotypes was recorded. The results show gradual plumage phenotype change of inbreed Pelung chicken. Initially, adult male chicken had Black-red coloured as wildtype (WT) shifted to partridge and black-silver coloured in later generations. The current findings indicating that inbreeding made recessive traits to be expressed which some of them might had deleterious effect. Random mating should be maintained to preserve genetics stability of Pelung chicken
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15
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Hou H, Wang X, Zhang C, Tu Y, Lv W, Cai X, Xu Z, Yao J, Yang C. Genomic analysis of GBS data reveals genes associated with facial pigmentation in Xinyang blue-shelled layers. Arch Anim Breed 2020; 63:483-491. [PMID: 33473373 PMCID: PMC7810225 DOI: 10.5194/aab-63-483-2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 11/02/2020] [Indexed: 12/16/2022] Open
Abstract
Facial pigmentation is an important economic trait of chickens, especially for laying hens, which will affect the carcass appearance of eliminated layers. Therefore, identifying the genomic regions and exploring the function of this region that contributes to understanding the variation of skin color traits is significant for breeding. In the study, 291 pure-line Xinyang blue-shelled laying hens were selected, of which 75 were dark-faced chickens and 216 were white-faced chickens. The population was sequenced and typed by GBS genotyping technology. The obtained high-quality SNPs and pigmentation phenotypes were analyzed by a genome-wide association study (GWAS) and a F ST scan. Based on the two analytical methods, we identified a same genomic region (10.70-11.60 Mb) on chromosome 20 with 68 significant SNPs ( - log 10 ( P ) > 6 ), mapped to 10 known genes, including NPEPL1, EDN3, GNAS, C20orf85, VAPB, BMP7, TUBB1, ELMO2, DDX27, and NCOA5, which are associated with dermal hyperpigmentation.
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Affiliation(s)
- Haobin Hou
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Xiaoliang Wang
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Caiyun Zhang
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Yingying Tu
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Wenwei Lv
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Xia Cai
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Zhigang Xu
- Shanghai Poultry Breeding Co., Ltd., Shanghai 201100, China
| | - Junfeng Yao
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Changsuo Yang
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
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16
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Mucksová J, Reinišová M, Kalina J, Lejčková B, Hejnar J, Trefil P. Conservation of chicken male germline by orthotopic transplantation of primordial germ cells from genetically distant donors†. Biol Reprod 2020; 101:200-207. [PMID: 30980659 DOI: 10.1093/biolre/ioz064] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 01/31/2019] [Accepted: 04/12/2019] [Indexed: 02/07/2023] Open
Abstract
Successful derivation and cultivation of primordial germ cells (PGCs) opened the way to efficient transgenesis and genome editing in the chicken. Furthermore, implantation of male PGCs from non-chicken galliform species into the chicken embryos resulted in cross-species germline chimeras and viable offspring. We have recently improved the PGC technology by demonstrating that chicken male PGCs transplanted into the testes of adult cockerel recipients mature into functional sperms. However, the availability of this orthotopic transplantation for cross-species transfer remains to be explored. Here we tested the capacity of genetically distant male PGCs to mature in the microenvironment of adult testes. We derived PGCs from the Chinese black-bone Silkie and transplanted them into infertile White Leghorn cockerels. Within 15-18 weeks after transplantation, we observed restoration of spermatogenesis in recipient cockerels and production of healthy progeny derived from the transplanted PGCs. Our findings also indicate the possibility of cross-species orthotopic transplantation of PGCs. Thus, our results might contribute to the preservation of endangered avian species and maintaining the genetic variability of the domestic chicken.
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Affiliation(s)
- Jitka Mucksová
- BIOPHARM, Research Institute of Biopharmacy and Veterinary Drugs, Jílové u Prahy, Czech Republic
| | - Markéta Reinišová
- Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czech Republic
| | - Jiří Kalina
- BIOPHARM, Research Institute of Biopharmacy and Veterinary Drugs, Jílové u Prahy, Czech Republic
| | - Barbora Lejčková
- BIOPHARM, Research Institute of Biopharmacy and Veterinary Drugs, Jílové u Prahy, Czech Republic
| | - Jiří Hejnar
- Institute of Molecular Genetics, Czech Academy of Sciences, Prague, Czech Republic
| | - Pavel Trefil
- BIOPHARM, Research Institute of Biopharmacy and Veterinary Drugs, Jílové u Prahy, Czech Republic
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17
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Li D, Sun G, Zhang M, Cao Y, Zhang C, Fu Y, Li F, Li G, Jiang R, Han R, Li Z, Wang Y, Tian Y, Liu X, Li W, Kang X. Breeding history and candidate genes responsible for black skin of Xichuan black-bone chicken. BMC Genomics 2020; 21:511. [PMID: 32703156 PMCID: PMC7376702 DOI: 10.1186/s12864-020-06900-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 07/09/2020] [Indexed: 12/21/2022] Open
Abstract
Background Domesticated chickens have a wide variety of phenotypes, in contrast with their wild progenitors. Unlike other chicken breeds, Xichuan black-bone chickens have blue-shelled eggs, and black meat, beaks, skin, bones, and legs. The breeding history and the economically important traits of this breed have not yet been explored at the genomic level. We therefore used whole genome resequencing to analyze the breeding history of the Xichuan black-bone chickens and to identify genes responsible for its unique phenotype. Results Principal component and population structure analysis showed that Xichuan black-bone chicken is in a distinct clade apart from eight other breeds. Linkage disequilibrium analysis showed that the selection intensity of Xichuan black-bone chickens is higher than for other chicken breeds. The estimated time of divergence between the Xichuan black-bone chickens and other breeds is 2.89 ka years ago. Fst analysis identified a selective sweep that contains genes related to melanogenesis. This region is probably associated with the black skin of the Xichuan black-bone chickens and may be the product of long-term artificial selection. A combined analysis of genomic and transcriptomic data suggests that the candidate gene related to the black-bone trait, EDN3, might interact with the upstream ncRNA LOC101747896 to generate black skin color during melanogenesis. Conclusions These findings help explain the unique genetic and phenotypic characteristics of Xichuan black-bone chickens, and provide basic research data for studying melanin deposition in animals.
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Affiliation(s)
- Donghua Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Guirong Sun
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Meng Zhang
- The First Hospital, Jilin University, Changchun, 130062, Jilin, China
| | - Yanfang Cao
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Chenxi Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Yawei Fu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Fang Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Guoxi Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Ruirui Jiang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Ruili Han
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Zhuanjian Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Yanbin Wang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Yadong Tian
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China
| | - Xiaojun Liu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Wenting Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.
| | - Xiangtao Kang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China. .,Henan Innovative Engineering Research Center of Poultry Germplasm Resource, Zhengzhou, 450046, China.
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18
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Núñez‐León D, Aguirre‐Fernández G, Steiner A, Nagashima H, Jensen P, Stoeckli E, Schneider RA, Sánchez‐Villagra MR. Morphological diversity of integumentary traits in fowl domestication: Insights from disparity analysis and embryonic development. Dev Dyn 2019; 248:1044-1058. [DOI: 10.1002/dvdy.105] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 08/01/2019] [Accepted: 08/13/2019] [Indexed: 12/18/2022] Open
Affiliation(s)
- Daniel Núñez‐León
- Paläontologisches Institut und Museum, Universität Zürich Zürich Switzerland
| | | | - Andrea Steiner
- Paläontologisches Institut und Museum, Universität Zürich Zürich Switzerland
| | - Hiroshi Nagashima
- Division of Gross Anatomy and MorphogenesisNiigata University Graduate School of Medical and Dental Sciences Niigata Japan
| | - Per Jensen
- IFM Biologi, AVIAN Behavioural Genomics and Physiology GroupLinköping University Linköping Sweden
| | - Esther Stoeckli
- Institute of Molecular Life Sciences, University of Zurich Zurich Switzerland
| | - Richard A. Schneider
- Department of Orthopaedic SurgeryUniversity of California San Francisco California
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19
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Malomane DK, Simianer H, Weigend A, Reimer C, Schmitt AO, Weigend S. The SYNBREED chicken diversity panel: a global resource to assess chicken diversity at high genomic resolution. BMC Genomics 2019; 20:345. [PMID: 31064348 PMCID: PMC6505202 DOI: 10.1186/s12864-019-5727-9] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 04/23/2019] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Since domestication, chickens did not only disperse into the different parts of the world but they have also undergone significant genomic changes in this process. Many breeds, strains or lines have been formed and those represent the diversity of the species. However, other than the natural evolutionary forces, management practices (including those that threaten the persistence of genetic diversity) following domestication have shaped the genetic make-up of and diversity between today's chicken breeds. As part of the SYNBREED project, samples from a wide variety of chicken populations have been collected across the globe and were genotyped with a high density SNP array. The panel consists of the wild type, commercial layers and broilers, indigenous village/local type and fancy chicken breeds. The SYNBREED chicken diversity panel (SCDP) is made available to serve as a public basis to study the genetic structure of chicken diversity. In the current study we analyzed the genetic diversity between and within the populations in the SCDP, which is important for making informed decisions for effective management of farm animal genetic resources. RESULTS Many of the fancy breeds cover a wide spectrum and clustered with other breeds of similar supposed origin as shown by the phylogenetic tree and principal component analysis. However, the fancy breeds as well as the highly selected commercial layer lines have reduced genetic diversity within the population, with the average observed heterozygosity estimates lower than 0.205 across their breeds' categories and the average proportion of polymorphic loci lower than 0.680. We show that there is still a lot of genetic diversity preserved within the wild and less selected African, South American and some local Asian and European breeds with the average observed heterozygosity greater than 0.225 and the average proportion of polymorphic loci larger than 0.720 within their breeds' categories. CONCLUSIONS It is important that such highly diverse breeds are maintained for the sustainability and flexibility of future chicken breeding. This diversity panel provides opportunities for exploitation for further chicken molecular genetic studies. With the possibility to further expand, it constitutes a very useful community resource for chicken genetic diversity research.
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Affiliation(s)
- Dorcus Kholofelo Malomane
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany.,Center for Integrated Breeding Research, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany
| | - Henner Simianer
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany.,Center for Integrated Breeding Research, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany
| | - Annett Weigend
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany
| | - Christian Reimer
- Animal Breeding and Genetics Group, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany.,Center for Integrated Breeding Research, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany
| | - Armin Otto Schmitt
- Center for Integrated Breeding Research, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany.,Breeding Informatics Group, Department of Animal Sciences, University of Göttingen, 37075, Göttingen, Germany
| | - Steffen Weigend
- Center for Integrated Breeding Research, Department of Animal Sciences, University of Goettingen, 37075, Goettingen, Germany. .,Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, 31535, Neustadt, Germany.
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20
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Lye ZN, Purugganan MD. Copy Number Variation in Domestication. TRENDS IN PLANT SCIENCE 2019; 24:352-365. [PMID: 30745056 DOI: 10.1016/j.tplants.2019.01.003] [Citation(s) in RCA: 100] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Revised: 01/08/2019] [Accepted: 01/10/2019] [Indexed: 05/22/2023]
Abstract
Domesticated plants have long served as excellent models for studying evolution. Many genes and mutations underlying important domestication traits have been identified, and most causal mutations appear to be SNPs. Copy number variation (CNV) is an important source of genetic variation that has been largely neglected in studies of domestication. Ongoing work demonstrates the importance of CNVs as a source of genetic variation during domestication, and during the diversification of domesticated taxa. Here, we review how CNVs contribute to evolutionary processes underlying domestication, and review examples of domestication traits caused by CNVs. We draw from examples in plant species, but also highlight cases in animal systems that could illuminate the roles of CNVs in the domestication process.
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Affiliation(s)
- Zoe N Lye
- Center for Genomics and Systems Biology, 12 Waverly Place, New York University, New York, NY 10003, USA
| | - Michael D Purugganan
- Center for Genomics and Systems Biology, 12 Waverly Place, New York University, New York, NY 10003, USA; Center for Genomics and Systems Biology, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates.
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21
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Hong H, Chai HH, Nam K, Lim D, Lee KT, Do YJ, Cho CY, Nam JW. Non-Coding Transcriptome Maps across Twenty Tissues of the Korean Black Chicken, Yeonsan Ogye. Int J Mol Sci 2018; 19:ijms19082359. [PMID: 30103450 PMCID: PMC6121550 DOI: 10.3390/ijms19082359] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Revised: 07/15/2018] [Accepted: 08/08/2018] [Indexed: 12/14/2022] Open
Abstract
Yeonsan Ogye is a rare Korean domestic chicken breed whose entire body, including feathers and skin, has a unique black coloring. Although some protein-coding genes related to this unique feature have been examined, non-coding elements have not been widely investigated. Thus, we evaluated coding and non-coding transcriptome expression and identified long non-coding RNAs functionally linked to protein-coding genes in Ogye. High-throughput RNA sequencing and DNA methylation sequencing were performed to profile the expression of 14,264 Ogye protein-coding and 6900 long non-coding RNA (lncRNA) genes and detect DNA methylation in 20 different tissues of an individual Ogye. Approximately 75% of Ogye lncRNAs and 45% of protein-coding genes showed tissue-specific expression. For some genes, tissue-specific expression levels were inversely correlated with DNA methylation levels in their promoters. Approximately 39% of tissue-specific lncRNAs displayed functional associations with proximal or distal protein-coding genes. Heat shock transcription factor 2-associated lncRNAs appeared to be functionally linked to protein-coding genes specifically expressed in black skin tissues, more syntenically conserved in mammals, and differentially expressed in black relative to in white tissues. Pending experimental validation, our findings increase the understanding of how the non-coding genome regulates unique phenotypes and can be used for future genomic breeding of chickens.
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Affiliation(s)
- Hyosun Hong
- Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 133791, Korea.
| | - Han-Ha Chai
- Department of Animal Biotechnology & Environment of National Institute of Animal Science, RDA, Wanju 55365, Korea.
- College of Pharmacy, Chonnam National University, Kwangju 61186, Korea.
| | - Kyoungwoo Nam
- Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 133791, Korea.
| | - Dajeong Lim
- Department of Animal Biotechnology & Environment of National Institute of Animal Science, RDA, Wanju 55365, Korea.
| | - Kyung-Tai Lee
- Department of Animal Biotechnology & Environment of National Institute of Animal Science, RDA, Wanju 55365, Korea.
| | - Yoon Jung Do
- Department of Animal Biotechnology & Environment of National Institute of Animal Science, RDA, Wanju 55365, Korea.
| | - Chang-Yeon Cho
- Animal Genetic Resource Research Center of National Institute of Animal Science, RDA, Namwon 55717, Korea.
| | - Jin-Wu Nam
- Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 133791, Korea.
- Research Institute for Convergence of Basic Sciences, Hanyang University, Seoul 133791, Korea.
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22
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Sohn JI, Nam K, Hong H, Kim JM, Lim D, Lee KT, Do YJ, Cho CY, Kim N, Chai HH, Nam JW. Whole genome and transcriptome maps of the entirely black native Korean chicken breed Yeonsan Ogye. Gigascience 2018; 7:5052204. [PMID: 30010758 PMCID: PMC6065499 DOI: 10.1093/gigascience/giy086] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 05/19/2018] [Accepted: 07/04/2018] [Indexed: 12/30/2022] Open
Abstract
Background Yeonsan Ogye (YO), an indigenous Korean chicken breed (Gallus gallus domesticus), has entirely black external features and internal organs. In this study, the draft genome of YO was assembled using a hybrid de novo assembly method that takes advantage of high-depth Illumina short reads (376.6X) and low-depth Pacific Biosciences (PacBio) long reads (9.7X). Findings The contig and scaffold NG50s of the hybrid de novo assembly were 362.3 Kbp and 16.8 Mbp, respectively. The completeness (97.6%) of the draft genome (Ogye_1.1) was evaluated with single-copy orthologous genes using Benchmarking Universal Single-Copy Orthologs and found to be comparable to the current chicken reference genome (galGal5; 97.4%; contigs were assembled with high-depth PacBio long reads (50X) and scaffolded with short reads) and superior to other avian genomes (92%-93%; assembled with short read-only or hybrid methods). Compared to galGal4 and galGal5, the draft genome included 551 structural variations including the fibromelanosis (FM) locus duplication, related to hyperpigmentation. To comprehensively reconstruct transcriptome maps, RNA sequencing and reduced representation bisulfite sequencing data were analyzed from 20 tissues, including 4 black tissues (skin, shank, comb, and fascia). The maps included 15,766 protein-coding and 6,900 long noncoding RNA genes, many of which were tissue-specifically expressed and displayed tissue-specific DNA methylation patterns in the promoter regions. Conclusions We expect that the resulting genome sequence and transcriptome maps will be valuable resources for studying domestic chicken breeds, including black-skinned chickens, as well as for understanding genomic differences between breeds and the evolution of hyperpigmented chickens and functional elements related to hyperpigmentation.
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Affiliation(s)
- Jang-il Sohn
- Department of Life Science, Hanyang University, Seoul, 133-791, Republic of Korea
- Research Institute for Convergence of Basic Sciences, Hanyang University, Seoul, 133-791, Republic of Korea
| | - Kyoungwoo Nam
- Department of Life Science, Hanyang University, Seoul, 133-791, Republic of Korea
| | - Hyosun Hong
- Department of Life Science, Hanyang University, Seoul, 133-791, Republic of Korea
| | - Jun-Mo Kim
- Department of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-do, 17546, Republic of Korea
| | - Dajeong Lim
- Department of Animal Biotechnology & Environment, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea
| | - Kyung-Tai Lee
- Department of Animal Biotechnology & Environment, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea
| | - Yoon Jung Do
- Department of Animal Biotechnology & Environment, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea
| | - Chang Yeon Cho
- Animal Genetic Resource Research Center, National Institute of Animal Science, RDA, Namwon, 55717, Republic of Korea
| | - Namshin Kim
- Personalized Genomic Medicine Research Center, KRIBB, Daejeon, 34141, Republic of Korea
| | - Han-Ha Chai
- Department of Animal Biotechnology & Environment, National Institute of Animal Science, RDA, Wanju, 55365, Republic of Korea
- College of Pharmacy, Chonnam National University, Kwangju, 61186, Republic of Korea
| | - Jin-Wu Nam
- Department of Life Science, Hanyang University, Seoul, 133-791, Republic of Korea
- Research Institute for Convergence of Basic Sciences, Hanyang University, Seoul, 133-791, Republic of Korea
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23
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Darwish HYA, Zhang Y, Cui K, Yang Z, Han D, Dong X, Mao H, Deng W, Deng X. Molecular cloning and characterization of the endothelin 3 gene in black bone sheep. J Anim Sci Biotechnol 2018; 9:57. [PMID: 29988351 PMCID: PMC6022492 DOI: 10.1186/s40104-018-0272-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 06/06/2018] [Indexed: 01/23/2023] Open
Abstract
Background Black bone sheep was first discovered in Yunnan province of China in 1970, with unique black pigmentation on the body and internal organs. Endothelin 3 (EDN3) has been known as a key gene causing hyperpigmentation in black bone chicken, the Silky fowl. Methods In this study, EDN3 was employed as a candidate gene for regulating black color pigmentation. First, EDN3 was cloned from sheep to obtain the full-length cDNA by using the rapid amplification of cDNA ends (RACE). Genomic EDN3 was screened and a total of thirty predicted single nucleotide polymorphisms (SNPs) were genotyped for allele and genotype frequency analysis in a case-control study involving two black bone sheep populations. Genomic copy number analysis of EDN3 in sheep was conducted to measure the variation in copy number. EDN3 expression levels were observed among the groups in adult liver, lymph node, and kidney tissues, as well as embryo kidney samples. Also, among the tissues of black bone and non-black bone sheep. Results The size of the full-length cDNA was 1,578 bp, which included 426 bp of 5′-untranslated region (5′-UTR), an open reading frame (ORF) of 639 bp encoding a protein of 212 amino acids, and a 3′-UTR of 513 bp. Genotype and allele frequencies of all the discovered SNPs were found insignificantly different in black bone and non-black bone sheep (P > 0.05). Genomic copy number analysis of EDN3 in sheep revealed no significant difference between the two sheep groups. No significant variations were found in the adult liver and kidney embryo samples. However, the expression in lymph node and kidney tissue was significantly higher in black bone sheep than that in non-black bone sheep (P < 0.05). Significant variations in the EDN3 expression levels were observed among the tissues of non-black bone sheep. Conclusions The findings of the present study indicate that unlike in Silky chickens, EDN3 is not responsible for hyperpigmentation but may play a key functional role in immune and excretory systems of black bone sheep. Electronic supplementary material The online version of this article (10.1186/s40104-018-0272-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hesham Y A Darwish
- 1National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, 100193 China.,Animal Production Research Institute, Agricultural Research Center, Ministry of Agriculture and Land Reclamation, Giza, 12618 Egypt
| | - Yuanyuan Zhang
- 1National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, 100193 China
| | - Kai Cui
- 1National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, 100193 China
| | - Zu Yang
- 1National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, 100193 China
| | - Deping Han
- 1National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, 100193 China.,3College of Veterinary Medicine, China Agricultural University, Beijing, 100193 China
| | - Xianggui Dong
- 1National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, 100193 China
| | - Huaming Mao
- 4College of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201 China
| | - Weidong Deng
- 4College of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201 China
| | - Xuemei Deng
- 1National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, 100193 China
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