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Assessing the origin, genetic structure and demographic history of the common pheasant (Phasianus colchicus) in the introduced European range. Sci Rep 2021; 11:21721. [PMID: 34741053 PMCID: PMC8571287 DOI: 10.1038/s41598-021-00567-1] [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: 06/01/2021] [Accepted: 10/06/2021] [Indexed: 11/24/2022] Open
Abstract
The common pheasant, a game species widely introduced throughout the world, can be considered as an ideal model to study the effects of introduction events on local adaptations, biogeographic patterns, and genetic divergence processes. We aimed to assess the origin, spatial patterns of genetic variation, and demographic history of the introduced populations in the contact zone of Central and Southeast Europe, using mitochondrial DNA control region sequences and microsatellite loci. Both types of molecular markers indicated relatively low to moderate levels of genetic variation. The mtDNA analyses revealed that common pheasants across the study area are divided into two distinct clades: B (mongolicus group) and F (colchicus group). Analyses of the microsatellite data consistently suggested a differentiation between Hungary and Serbia, with the pheasant population in Hungary being much more genetically homogeneous, while that of Serbia has much more genetic mixture and admixture. This cryptic differentiation was not detected using a non-spatial Bayesian clustering model. The analyses also provided strong evidence for a recent population expansion. This fundamental information is essential for adequate and effective conservation management of populations of a game species of great economic and ecological importance in the studied geographical region.
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He C, Zhao L, Xiao L, Xu K, Ding J, Zhou H, Zheng Y, Han C, Akinyemi F, Luo H, Yang L, Luo L, Yuan H, Lu X, Meng H. Chromosome level assembly reveals a unique immune gene organization and signatures of evolution in the common pheasant. Mol Ecol Resour 2020; 21:897-911. [PMID: 33188724 DOI: 10.1111/1755-0998.13296] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 11/03/2020] [Accepted: 11/06/2020] [Indexed: 12/30/2022]
Abstract
The common pheasant Phasianus colchicus, belonging to the order Galliformes and family Phasianidae, is the most widespread species. Despite a long history of captivity, the domestication of this bird is still at a preliminary stage. Recently, the demand for accelerating its transformation to poultry for meat and egg production has been increasing. In this study, we assembled high quality, chromosome scale genome of the common pheasant by using PacBio long reads, next-generation short reads, and Hi-C technology. The primary assembly has contig N50 size of 1.33 Mb and scaffold N50 size of 59.46 Mb, with a total size of 0.99 Gb, resolving most macrochromosomes into single scaffolds. A total of 23,058 genes and 10.71 Mb interspersed repeats were identified, constituting 30.31% and 10.71% of the common pheasant genome, respectively. Our phylogenetic analysis revealed that the common pheasant shared common ancestors with turkey about 24.7-34.5 million years ago (Ma). Rapidly evolved gene families, as well as branch-specific positively selected genes, indicate that calcium-related genes are potentially related to the adaptive and evolutionary change of the common pheasant. Interestingly, we found that the common pheasant has a unique major histocompatibility complex B locus (MHC-B) structure: three major inversions occurred in the sequence compared with chicken MHC-B. Furthermore, we detected signals of selection in five breeds of domestic common pheasant, several of which are production-oriented.
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Affiliation(s)
- Chuan He
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Lele Zhao
- Shanghai Animal Disease Control Center, Shanghai, China
| | - Lu Xiao
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Ke Xu
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Jinmei Ding
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Hao Zhou
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Yuming Zheng
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Chengxiao Han
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Fisayo Akinyemi
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Huaixi Luo
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Lingyu Yang
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Lingxiao Luo
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Hongyan Yuan
- Shanghai Xinhao Rare Poultry Breeding Co. Ltd., Shanghai, China
| | - Xuelin Lu
- Shanghai Animal Disease Control Center, Shanghai, China
| | - He Meng
- Shanghai Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
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Vázquez‐Miranda H, Olson MJ, Zink RM. Evolutionary Origin and Genetic Diversity of Ring‐necked Pheasants in the Upper Midwest United States. WILDLIFE SOC B 2020. [DOI: 10.1002/wsb.1095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- Hernán Vázquez‐Miranda
- School of Natural Resources, and Nebraska State Museum, University of Nebraska Lincoln NE 68583 USA
| | - Magdalena J. Olson
- School of Natural Resources, and Nebraska State Museum, University of Nebraska Lincoln NE 68583 USA
| | - Robert M. Zink
- School of Natural Resources, School of Biological Sciences, Nebraska State Museum, University of Nebraska Lincoln NE 68583 USA
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Liu Y, Liu S, Zhang N, Chen D, Que P, Liu N, Höglund J, Zhang Z, Wang B. Genome Assembly of the Common Pheasant Phasianus colchicus: A Model for Speciation and Ecological Genomics. Genome Biol Evol 2019; 11:3326-3331. [PMID: 31713630 PMCID: PMC7145668 DOI: 10.1093/gbe/evz249] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2019] [Indexed: 12/04/2022] Open
Abstract
The common pheasant (Phasianus colchicus) in the order Galliformes and the family Phasianidae, has 30 subspecies distributed across its native range in the Palearctic realm and has been introduced to Europe, North America, and Australia. It is an important game bird often subjected to wildlife management as well as a model species to study speciation, biogeography, and local adaptation. However, the genomic resources for the common pheasant are generally lacking. We sequenced a male individual of the subspecies torquatus of the common pheasant with the Illumina HiSeq platform. We obtained 94.88 Gb of usable sequences by filtering out low-quality reads of the raw data generated. This resulted in a 1.02 Gb final assembly, which equals the estimated genome size. BUSCO analysis using chicken as a model showed that 93.3% of genes were complete. The contig N50 and scaffold N50 sizes were 178 kb and 10.2 Mb, respectively. All these indicate that we obtained a high-quality genome assembly. We annotated 16,485 protein-coding genes and 123.3 Mb (12.05% of the genome) of repetitive sequences by ab initio and homology-based prediction. Furthermore, we applied a RAD-sequencing approach for another 45 individuals of seven representative subspecies in China and identified 4,376,351 novel single nucleotide polymorphism (SNPs) markers. Using this unprecedented data set, we uncovered the geographic population structure and genetic introgression among common pheasants in China. Our results provide the first high-quality reference genome for the common pheasant and a valuable genome-wide SNP database for studying population genomics and demographic history.
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Affiliation(s)
- Yang Liu
- State Key Laboratory of Biocontrol, College of Ecology/School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Simin Liu
- State Key Laboratory of Biocontrol, College of Ecology/School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Nan Zhang
- State Key Laboratory of Biocontrol, College of Ecology/School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - De Chen
- MOE Key Laboratory for Biodiversity Sciences and Ecological Engineering, College of Life Sciences, Beijing Normal University, China
| | - Pinjia Que
- MOE Key Laboratory for Biodiversity Sciences and Ecological Engineering, College of Life Sciences, Beijing Normal University, China
| | - Naijia Liu
- College of Life Sciences and Oceanography, Shenzhen University, China
| | - Jacob Höglund
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Sweden
| | - Zhengwang Zhang
- MOE Key Laboratory for Biodiversity Sciences and Ecological Engineering, College of Life Sciences, Beijing Normal University, China
| | - Biao Wang
- School of Biosciences, University of Melbourne, Parkville, Victoria, Australia
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Tsai CL, Yeh WB. Subspecific Differentiation Events of Montane Stag Beetles (Coleoptera, Lucanidae) Endemic to Formosa Island. PLoS One 2016; 11:e0156600. [PMID: 27257861 PMCID: PMC4892689 DOI: 10.1371/journal.pone.0156600] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 05/17/2016] [Indexed: 11/18/2022] Open
Abstract
Taxonomic debates have been carrying on for decades over Formosan stag beetles, which consist of a high proportion of endemic species and subspecies featuring morphological variations associated with local adaptation. With the influence of periodical Pleistocene glaciations and the presence of several mountain ranges, the genetic differentiation and taxonomic recognition, within this medium-size island, of two endemic subspecies for each of four montane stag beetles, i.e. Lucanus ogakii, L. kanoi, Prismognathus davidis, and Neolucanus doro, has been an appealing issue. Based on monophyletic lineages and population structure, possible divergent scenarios have been proposed to clarify the subspecific status for each of the above mentioned stag beetles. Phylogenetic inferences based on COI+16S rDNA+28S rDNA of 240 Formosan lucanids have confirmed most species are monophyletic groups; and the intraspecific (<2%) and interspecific (>2%) genetic distances of the two mitochondrial genes could be applied concordantly for taxonomic identification. On account of Bayesian-based species delimitation, geographic distribution, population structure, and sequence divergences, the subspecific status for L. ogakii, L. kanoi, and Pri. davidis are congruent with their geographic distribution in this island; and the calibration time based on the mitochondrial genes shows the subspecific split events occurred 0.7–1 million years ago. In addition, a more complicated scenario, i.e. genetic differentiation including introgression/hybridization events, might have occurred among L. ogakii, L. kanoi, and L. maculifemoratus. The geological effects of mountain hindrance accompanied by periodical glaciations could have been vital in leading to the geographical subspecific differentiation of these montane stag beetles.
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Affiliation(s)
- Cheng-Lung Tsai
- Department of Entomology, National Chung Hsing University, Taichung, Taiwan
| | - Wen-Bin Yeh
- Department of Entomology, National Chung Hsing University, Taichung, Taiwan
- * E-mail:
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An B, Zhang L, Liu N, Wang Y. Refugia persistence of Qinghai-Tibetan plateau by the cold-tolerant bird Tetraogallus tibetanus (Galliformes: Phasianidae). PLoS One 2015; 10:e0121118. [PMID: 25822918 PMCID: PMC4378977 DOI: 10.1371/journal.pone.0121118] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Accepted: 02/10/2015] [Indexed: 11/19/2022] Open
Abstract
Most of the temperate species are expected to have moved to lower altitudes during the glacial periods of the Quaternary. Here we tested this hypothesis in a cold-tolerant avian species Tibetan snowcock (Tetraogallus tibetanus) using two segments of mitochondrial gene (a 705bp Cytochrome-b; abbrev. Cyt-b and an 854 bp Control Region; abbrev. CR) and eight microsatellite loci by characterizing population differentiation and gene flow across its range. Combined (Cyt-b + CR) datasets detected several partially lineages with poor support. Microsatellite data, however, identified two distinct lineages congruent with the geographically separated western and central regions of Qinghai-Tibetan Plateau (QTP). The phylogeographic patterns that we observed might be explained by a combination of vicariance events that led to local isolation of T. tibetanus during warm periods and range expansions and population intermixing during cold periods. The results of this study add to our knowledge of population differentiation and connectivity in high altitude mountain ecosystems.
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Affiliation(s)
- Bei An
- School of Basic Medicine Sciences, Lanzhou University, Lanzhou, China
| | - Lixun Zhang
- School of Life Sciences, Lanzhou University, Lanzhou, China
- Gansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, Lanzhou, China
- * E-mail: (LZ); (NL)
| | - Naifa Liu
- School of Life Sciences, Lanzhou University, Lanzhou, China
- * E-mail: (LZ); (NL)
| | - Ying Wang
- Pediatric Research Institute, Qilu Children's Hospital of Shandong University, Ji'nan, Shandong, China
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