51
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Xie J, Li R, Li S, Ran X, Wang J, Jiang J, Zhao P. Identification of Copy Number Variations in Xiang and Kele Pigs. PLoS One 2016; 11:e0148565. [PMID: 26840413 PMCID: PMC4740446 DOI: 10.1371/journal.pone.0148565] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Accepted: 01/19/2016] [Indexed: 12/24/2022] Open
Abstract
Xiang and Kele pigs are two well-known local Chinese pig breeds that possess rich genetic resources and have enormous economic and scientific value. We performed a comprehensive genomic analysis of the copy number variations (CNVs) in these breeds. CNVs are one of the most important forms of genomic variation and have profound effects on phenotypic variation. In this study, PorcineSNP60 genotyping data from 98 Xiang pigs and 22 Kele pigs were used to identify CNVs. In total, 172 candidate CNV regions (CNVRs) were identified, ranging from 3.19 kb to 8175.26 kb and covering 80.41 Mb of the pig genome. Approximately 56.40% (97/172) of the CNVRs overlapped with those identified in seven previous studies, and 43.60% (75/172) of the identified CNVRs were novel. Of the identified CNVRs, 82 (47 gain, 33 loss, and two gain-loss events that covered 4.58 Mb of the pig genome) were found only in a Xiang population with a large litter size. In contrast, 13 CNVRs (8 gain and 5 loss events) were unique to a Xiang population with small litter sizes, and 30 CNVRs (14 loss and 16 gain events) were unique to Kele pigs. The CNVRs span approximately 660 annotated Sus scrofa genes that are significantly enriched for specific biological functions, such as sensory perception, cognition, reproduction, ATP biosynthetic processes, and neurological processes. Many CNVR-associated genes, particularly the genes involved in reproductive traits, differed between the Xiang populations with large and small litter sizes, and these genes warrant further investigation due to their importance in determining the reproductive performance of Xiang pigs. Our results provide meaningful information about genomic variation, which may be useful in future assessments of the associations between CNVs and important phenotypes in Xiang and Kele pigs to ultimately help protect these rare breeds.
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Affiliation(s)
- Jian Xie
- Institute of Agro-Bioengineering and College of Life Sciences, Guizhou University, Guiyang, China
| | - Rongrong Li
- Institute of Agro-Bioengineering and College of Life Sciences, Guizhou University, Guiyang, China
| | - Sheng Li
- Institute of Agro-Bioengineering and College of Life Sciences, Guizhou University, Guiyang, China
| | - Xueqin Ran
- College of animal Science, Guizhou University, Guiyang, China
- * E-mail: (XQR); (JFW)
| | - Jiafu Wang
- Institute of Agro-Bioengineering and College of Life Sciences, Guizhou University, Guiyang, China
- * E-mail: (XQR); (JFW)
| | - Jicai Jiang
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Pengju Zhao
- College of Animal Science and Technology, China Agricultural University, Beijing, China
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52
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Sasaki S, Watanabe T, Nishimura S, Sugimoto Y. Genome-wide identification of copy number variation using high-density single-nucleotide polymorphism array in Japanese Black cattle. BMC Genet 2016; 17:26. [PMID: 26809925 PMCID: PMC4727303 DOI: 10.1186/s12863-016-0335-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2015] [Accepted: 01/14/2016] [Indexed: 12/12/2022] Open
Abstract
Background Copy number variation (CNV) is an important source of genetic variability associated with phenotypic variation and disease susceptibility. Comprehensive genome-wide CNV maps provide valuable information for genetic and functional studies. To identify CNV in Japanese Black cattle, we performed a genome-wide autosomal screen using genomic data from 1,481 animals analyzed with the Illumina Bovine High-Density (HD) BeadChip Array (735,293 single-nucleotide polymorphisms (SNPs) with an average marker interval of 3.4 kb on the autosomes). Results We identified a total of 861 CNV regions (CNVRs) across all autosomes, which covered 43.65 Mb of the UMD3.1 genome assembly and corresponded to 1.74 % of the 29 bovine autosomes. Overall, 35 % of the CNVRs were present at a frequency of > 1 % in 1,481 animals. The estimated lengths of CNVRs ranged from 1.1 kb to 1.4 Mb, with an average of 50.7 kb. The average number of CNVR events per animal was 35. Comparisons with previously reported cattle CNV showed that 72 % of the CNVR calls detected in this study were within or overlapped with known CNVRs. Experimentally, three CNVRs were validated using quantitative PCR, and one CNVR was validated using PCR with flanking primers for the deleted region. Out of the 861 CNVRs, 390 contained 717 Ensembl-annotated genes significantly enriched for stimulus response, cellular defense response, and immune response in the Gene Ontology (GO) database. To associate genes contained in CNVRs with phenotypes, we converted 560 bovine Ensembl gene IDs to their 438 orthologous associated mouse gene IDs, and 195 of these mouse orthologous genes were categorized into 1,627 phenotypes in the Mouse Genome Informatics (MGI) database. Conclusions We identified 861 CNVRs in 1,481 Japanese Black cattle using the Illumina BovineHD BeadChip Array. The genes contained in CNVRs were characterized using GO analysis and the mouse orthologous genes were characterized using the MGI database. The comprehensive genome-wide CNVRs map will facilitate identification of genetic variation and disease-susceptibility alleles in Japanese Black cattle. Electronic supplementary material The online version of this article (doi:10.1186/s12863-016-0335-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shinji Sasaki
- National Livestock Breeding Center, Odakura, Nishigo, Fukushima, 961-8511, Japan.
| | - Toshio Watanabe
- National Livestock Breeding Center, Odakura, Nishigo, Fukushima, 961-8511, Japan.
| | - Shota Nishimura
- Shirakawa Institute of Animal Genetics, Japan Livestock Technology Association, Odakura, Nishigo, Fukushima, 961-8061, Japan.
| | - Yoshikazu Sugimoto
- Shirakawa Institute of Animal Genetics, Japan Livestock Technology Association, Odakura, Nishigo, Fukushima, 961-8061, Japan.
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Ghosh S, Das PJ, Avila F, Thwaits BK, Chowdhary BP, Raudsepp T. A Non-Reciprocal Autosomal Translocation 64,XX, t(4;10)(q21;p15) in an Arabian Mare with Repeated Early Embryonic Loss. Reprod Domest Anim 2015; 51:171-4. [PMID: 26547799 DOI: 10.1111/rda.12636] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Accepted: 10/06/2015] [Indexed: 11/30/2022]
Abstract
Balanced autosomal translocations are a known cause for repeated early embryonic loss (REEL) in horses. In most cases, carriers of such translocations are phenotypically normal, but the chromosomal aberration negatively affects gametogenesis giving rise to both genetically balanced and unbalanced gametes. The latter, if involved in fertilization, result in REEL, whereas gametes with the balanced form of translocation will pass the defect into next generation. Therefore, in order to reduce the incidence of REEL, identification of translocation carriers is critical. Here, we report about a phenotypically normal 3-year-old Arabian mare that had repeated resorption of conceptuses prior to day 45 of gestation and was diagnosed with REEL. Conventional and molecular cytogenetic analyses revealed that the mare had normal chromosome number 64,XX but carried a non-mosaic and non-reciprocal autosomal translocation t(4;10)(q21;p15). This is a novel translocation described in horses with REEL and the first such report in Arabians. Previous cases of REEL due to autosomal translocations have exclusively involved Thoroughbreds. The findings underscore the importance of routine cytogenetic screening of breeding animals.
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Affiliation(s)
- S Ghosh
- Texas A&M University, College Station, TX, USA
| | - P J Das
- National Research Centre on Yak, Dirang, Arunachal Pradesh, India
| | - F Avila
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN, USA
| | | | | | - T Raudsepp
- Texas A&M University, College Station, TX, USA
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56
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Der Sarkissian C, Ermini L, Schubert M, Yang MA, Librado P, Fumagalli M, Jónsson H, Bar-Gal GK, Albrechtsen A, Vieira FG, Petersen B, Ginolhac A, Seguin-Orlando A, Magnussen K, Fages A, Gamba C, Lorente-Galdos B, Polani S, Steiner C, Neuditschko M, Jagannathan V, Feh C, Greenblatt CL, Ludwig A, Abramson NI, Zimmermann W, Schafberg R, Tikhonov A, Sicheritz-Ponten T, Willerslev E, Marques-Bonet T, Ryder OA, McCue M, Rieder S, Leeb T, Slatkin M, Orlando L. Evolutionary Genomics and Conservation of the Endangered Przewalski's Horse. Curr Biol 2015; 25:2577-83. [PMID: 26412128 DOI: 10.1016/j.cub.2015.08.032] [Citation(s) in RCA: 129] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Revised: 07/06/2015] [Accepted: 08/14/2015] [Indexed: 12/22/2022]
Abstract
Przewalski's horses (PHs, Equus ferus ssp. przewalskii) were discovered in the Asian steppes in the 1870s and represent the last remaining true wild horses. PHs became extinct in the wild in the 1960s but survived in captivity, thanks to major conservation efforts. The current population is still endangered, with just 2,109 individuals, one-quarter of which are in Chinese and Mongolian reintroduction reserves [1]. These horses descend from a founding population of 12 wild-caught PHs and possibly up to four domesticated individuals [2-4]. With a stocky build, an erect mane, and stripped and short legs, they are phenotypically and behaviorally distinct from domesticated horses (DHs, Equus caballus). Here, we sequenced the complete genomes of 11 PHs, representing all founding lineages, and five historical specimens dated to 1878-1929 CE, including the Holotype. These were compared to the hitherto-most-extensive genome dataset characterized for horses, comprising 21 new genomes. We found that loci showing the most genetic differentiation with DHs were enriched in genes involved in metabolism, cardiac disorders, muscle contraction, reproduction, behavior, and signaling pathways. We also show that DH and PH populations split ∼45,000 years ago and have remained connected by gene-flow thereafter. Finally, we monitor the genomic impact of ∼110 years of captivity, revealing reduced heterozygosity, increased inbreeding, and variable introgression of domestic alleles, ranging from non-detectable to as much as 31.1%. This, together with the identification of ancestry informative markers and corrections to the International Studbook, establishes a framework for evaluating the persistence of genetic variation in future reintroduced populations.
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Affiliation(s)
- Clio Der Sarkissian
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark
| | - Luca Ermini
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark
| | - Mikkel Schubert
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark
| | - Melinda A Yang
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720-3140, USA
| | - Pablo Librado
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark
| | - Matteo Fumagalli
- Department of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, London WC1E 6BT, UK
| | - Hákon Jónsson
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark
| | - Gila Kahila Bar-Gal
- The Robert H. Smith Faculty of Agriculture, Food and Environment, The Koret School of Veterinary Medicine, The Hebrew University, Rehovot 76100, Israel
| | - Anders Albrechtsen
- Department of Biology, The Bioinformatics Centre, University of Copenhagen, Copenhagen 2200N, Denmark
| | - Filipe G Vieira
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark
| | - Bent Petersen
- Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby 2800, Denmark
| | - Aurélien Ginolhac
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark
| | - Andaine Seguin-Orlando
- National High-Throughput DNA Sequencing Centre, University of Copenhagen, Copenhagen 1353K, Denmark
| | - Kim Magnussen
- National High-Throughput DNA Sequencing Centre, University of Copenhagen, Copenhagen 1353K, Denmark
| | - Antoine Fages
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark
| | - Cristina Gamba
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark
| | - Belen Lorente-Galdos
- ICREA at the Institut de Biologia Evolutiva (CSIC-University Pompeu Fabra), Barcelona 08003, Spain
| | - Sagi Polani
- The Robert H. Smith Faculty of Agriculture, Food and Environment, The Koret School of Veterinary Medicine, The Hebrew University, Rehovot 76100, Israel
| | - Cynthia Steiner
- San Diego Zoo Institute for Conservation Research, Escondido, CA 92027, USA
| | | | | | - Claudia Feh
- Station Biologique de la Tour du Valat, Arles 13200, France
| | - Charles L Greenblatt
- Department of Microbiology and Molecular Genetics, The Hebrew University-Hadassah Medical School, Jerusalem 91120, Israel
| | - Arne Ludwig
- Department of Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin 10315, Germany
| | - Natalia I Abramson
- Zoological Institute of the Russian Academy of Sciences, Saint-Petersburg 199034, Russia
| | | | - Renate Schafberg
- Martin-Luther-University Halle-Wittenberg, Museum of Domesticated Animals "Julius Kühn", Halle 06108, Germany
| | - Alexei Tikhonov
- Zoological Institute of the Russian Academy of Sciences, Saint-Petersburg 199034, Russia; Institute of Applied Ecology of the North, North-Eastern Federal University, Yakutsk 677980, Russia
| | - Thomas Sicheritz-Ponten
- Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby 2800, Denmark
| | - Eske Willerslev
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark
| | - Tomas Marques-Bonet
- ICREA at the Institut de Biologia Evolutiva (CSIC-University Pompeu Fabra), Barcelona 08003, Spain; Centro Nacional de Analisis Genomico (CNAG-CRG), Barcelona 08023, Spain
| | - Oliver A Ryder
- San Diego Zoo Institute for Conservation Research, Escondido, CA 92027, USA
| | - Molly McCue
- College of Veterinary Medicine, University of Minnesota, St. Paul, MN 55108, USA
| | - Stefan Rieder
- Agroscope, Swiss National Stud Farm, Avenches 1580, Switzerland
| | - Tosso Leeb
- Institute of Genetics, University of Bern, Bern 3001, Switzerland
| | - Montgomery Slatkin
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720-3140, USA
| | - Ludovic Orlando
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen 1350K, Denmark; Université de Toulouse, University Paul Sabatier (UPS), Laboratoire AMIS, CNRS UMR 5288, 37 Allées Jules Guesde, 31000 Toulouse, France.
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58
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Bertolini F, Scimone C, Geraci C, Schiavo G, Utzeri VJ, Chiofalo V, Fontanesi L. Next Generation Semiconductor Based Sequencing of the Donkey (Equus asinus) Genome Provided Comparative Sequence Data against the Horse Genome and a Few Millions of Single Nucleotide Polymorphisms. PLoS One 2015; 10:e0131925. [PMID: 26151450 PMCID: PMC4495037 DOI: 10.1371/journal.pone.0131925] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Accepted: 06/08/2015] [Indexed: 12/13/2022] Open
Abstract
Few studies investigated the donkey (Equus asinus) at the whole genome level so far. Here, we sequenced the genome of two male donkeys using a next generation semiconductor based sequencing platform (the Ion Proton sequencer) and compared obtained sequence information with the available donkey draft genome (and its Illumina reads from which it was originated) and with the EquCab2.0 assembly of the horse genome. Moreover, the Ion Torrent Personal Genome Analyzer was used to sequence reduced representation libraries (RRL) obtained from a DNA pool including donkeys of different breeds (Grigio Siciliano, Ragusano and Martina Franca). The number of next generation sequencing reads aligned with the EquCab2.0 horse genome was larger than those aligned with the draft donkey genome. This was due to the larger N50 for contigs and scaffolds of the horse genome. Nucleotide divergence between E. caballus and E. asinus was estimated to be ~ 0.52-0.57%. Regions with low nucleotide divergence were identified in several autosomal chromosomes and in the whole chromosome X. These regions might be evolutionally important in equids. Comparing Y-chromosome regions we identified variants that could be useful to track donkey paternal lineages. Moreover, about 4.8 million of single nucleotide polymorphisms (SNPs) in the donkey genome were identified and annotated combining sequencing data from Ion Proton (whole genome sequencing) and Ion Torrent (RRL) runs with Illumina reads. A higher density of SNPs was present in regions homologous to horse chromosome 12, in which several studies reported a high frequency of copy number variants. The SNPs we identified constitute a first resource useful to describe variability at the population genomic level in E. asinus and to establish monitoring systems for the conservation of donkey genetic resources.
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Affiliation(s)
- Francesca Bertolini
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, Bologna, Italy
- Department of Veterinary Sciences, Animal Production Unit, University of Messina, Polo Universitario dell'Annunziata, Messina, Italy
| | - Concetta Scimone
- Department of Veterinary Sciences, Animal Production Unit, University of Messina, Polo Universitario dell'Annunziata, Messina, Italy
| | - Claudia Geraci
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, Bologna, Italy
| | - Giuseppina Schiavo
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, Bologna, Italy
| | - Valerio Joe Utzeri
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, Bologna, Italy
| | - Vincenzo Chiofalo
- Department of Veterinary Sciences, Animal Production Unit, University of Messina, Polo Universitario dell'Annunziata, Messina, Italy
- Meat Research Consortium, Polo Universitario dell’Annunziata, Messina, Italy
| | - Luca Fontanesi
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Fanin 46, Bologna, Italy
- * E-mail:
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