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Qi F, Chen X, Wang J, Niu X, Li S, Huang S, Ran X. Genome-wide characterization of structure variations in the Xiang pig for genetic resistance to African swine fever. Virulence 2024; 15:2382762. [PMID: 39092797 PMCID: PMC11299630 DOI: 10.1080/21505594.2024.2382762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 05/07/2024] [Accepted: 07/12/2024] [Indexed: 08/04/2024] Open
Abstract
African swine fever (ASF) is a rapidly fatal viral haemorrhagic fever in Chinese domestic pigs. Although very high mortality is observed in pig farms after an ASF outbreak, clinically healthy and antibody-positive pigs are found in those farms, and viral detection is rare from these pigs. The ability of pigs to resist ASF viral infection may be modulated by host genetic variations. However, the genetic basis of the resistance of domestic pigs against ASF remains unclear. We generated a comprehensive set of structural variations (SVs) in a Chinese indigenous Xiang pig with ASF-resistant (Xiang-R) and ASF-susceptible (Xiang-S) phenotypes using whole-genome resequencing method. A total of 53,589 nonredundant SVs were identified, with an average of 25,656 SVs per individual in the Xiang pig genome, including insertion, deletion, inversion and duplication variations. The Xiang-R group harboured more SVs than the Xiang-S group. The F-statistics (FST) was carried out to reveal genetic differences between two populations using the resequencing data at each SV locus. We identified 2,414 population-stratified SVs and annotated 1,152 Ensembl genes (including 986 protein-coding genes), in which 1,326 SVs might disturb the structure and expression of the Ensembl genes. Those protein-coding genes were mainly enriched in the Wnt, Hippo, and calcium signalling pathways. Other important pathways associated with the ASF viral infection were also identified, such as the endocytosis, apoptosis, focal adhesion, Fc gamma R-mediated phagocytosis, junction, NOD-like receptor, PI3K-Akt, and c-type lectin receptor signalling pathways. Finally, we identified 135 candidate adaptive genes overlapping 166 SVs that were involved in the virus entry and virus-host cell interactions. The fact that some of population-stratified SVs regions detected as selective sweep signals gave another support for the genetic variations affecting pig resistance against ASF. The research indicates that SVs play an important role in the evolutionary processes of Xiang pig adaptation to ASF infection.
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Affiliation(s)
- Fenfang Qi
- Institute of Agro-Bioengineering, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences, College of Animal Science, Guizhou University, Guiyang, Guizhou Province, China
| | - Xia Chen
- Institute of Agro-Bioengineering, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences, College of Animal Science, Guizhou University, Guiyang, Guizhou Province, China
| | - Jiafu Wang
- Institute of Agro-Bioengineering, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences, College of Animal Science, Guizhou University, Guiyang, Guizhou Province, China
| | - Xi Niu
- Institute of Agro-Bioengineering, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences, College of Animal Science, Guizhou University, Guiyang, Guizhou Province, China
| | - Sheng Li
- Institute of Agro-Bioengineering, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences, College of Animal Science, Guizhou University, Guiyang, Guizhou Province, China
| | - Shihui Huang
- Institute of Agro-Bioengineering, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences, College of Animal Science, Guizhou University, Guiyang, Guizhou Province, China
| | - Xueqin Ran
- Institute of Agro-Bioengineering, Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences, College of Animal Science, Guizhou University, Guiyang, Guizhou Province, China
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2
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Chang L, Niu X, Huang S, Song D, Ran X, Wang J. Detection of structural variants linked to mutton flavor and odor in two closely related black goat breeds. BMC Genomics 2024; 25:979. [PMID: 39425017 DOI: 10.1186/s12864-024-10874-2] [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: 06/29/2024] [Accepted: 10/08/2024] [Indexed: 10/21/2024] Open
Abstract
BACKGROUND Mutton quality is closely related to genetic variants and gene expression alterations during growth and development, resulting in differences in nutritional values, flavor, and odor. RESULTS We first evaluated and compared the composition of crude protein, crude fat, cholesterol, amino acid (AA), and fatty acid (FA) in the longissimus dorsi muscle of Guizhou black goats (GZB, n = 5) and Yunshang black goats (YBG, n = 6). The contents of cholesterol and FA related to odor in GZB were significantly lower than that in YBG, while the concentrations of umami amino acids and intramuscular fat were significantly higher in GZB. Furthermore, structural variants (SVs) in the genomes of GZB (n = 30) and YBG (n = 11) were explored. It was found that some regions in Chr 10/12/18 were densely involved with a large number of SVs in the genomes of GZB and YBG. By setting FST ≥ 0.25, we got 837 stratified SVs, of which 25 SVs (involved in 12 genes, e.g., CORO1A, CLIC6, PCSK2, and TMEM9) were limited in GZB. Functional enrichment analysis of 14 protein-coding genes (e.g., ENPEP, LIPC, ABCA5, and SLC6A15) revealed multiple terms and pathways related with metabolisms of AA, FA, and cholesterol. The SVs (n = 10) obtained by the whole genome resequencing were confirmed in percentages of 36.67 to 86.67% (n = 96) by PCR method. The SVa and SVd polymorphisms indicated a moderate negative correlation with HMGCS1 activity (n = 17). CONCLUSION This study is the first to comprehensively reveal potential SVs related to mutton nutritional values, flavor, and odor based on genomic compare between two black goat breeds with closely genetic relationship. The SVs generated in this study provide a data resource for deeper studies to understand the genomic characteristics and possible evolutionary outcomes with better nutritional values, flavor and extremely light odor.
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Affiliation(s)
- Lingle Chang
- College of Animal Science, Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), Guizhou University, Guiyang, 550025, China
| | - Xi Niu
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences, Guizhou University, Guiyang, 550025, China
| | - Shihui Huang
- College of Animal Science, Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), Guizhou University, Guiyang, 550025, China
| | - Derong Song
- Bijie Academy of Agricultural Sciences, Bijie, 551700, China
| | - Xueqin Ran
- College of Animal Science, Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region (Ministry of Education), Guizhou University, Guiyang, 550025, China.
| | - Jiafu Wang
- Institute of Agro-Bioengineering/Key Laboratory of Plant Resource Conservative and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences, Guizhou University, Guiyang, 550025, China.
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Romdhane L, Kefi S, Mezzi N, Abassi N, Jmel H, Romdhane S, Shan J, Chouchane L, Abdelhak S. Ethnic and functional differentiation of copy number polymorphisms in Tunisian and HapMap population unveils insights on genome organizational plasticity. Sci Rep 2024; 14:4654. [PMID: 38409353 PMCID: PMC10897484 DOI: 10.1038/s41598-024-54749-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 02/15/2024] [Indexed: 02/28/2024] Open
Abstract
Admixture mapping has been useful in identifying genetic variations linked to phenotypes, adaptation and diseases. Copy number variations (CNVs) represents genomic structural variants spanning large regions of chromosomes reaching several megabases. In this investigation, the "Canary" algorithm was applied to 102 Tunisian samples and 991 individuals from eleven HapMap III populations to genotype 1279 copy number polymorphisms (CNPs). In this present work, we investigate the Tunisian population structure using the CNP makers previously identified among Tunisian. The study revealed that Sub-Saharan African populations exhibited the highest diversity with the highest proportions of allelic CNPs. Among all the African populations, Tunisia showed the least diversity. Individual ancestry proportions computed using STRUCTURE analysis revealed a major European component among Tunisians with lesser contribution from Sub-Saharan Africa and Asia. Population structure analysis indicated the genetic proximity with Europeans and noticeable distance from the Sub-Saharan African and East Asian clusters. Seven genes harbouring Tunisian high-frequent CNPs were identified known to be associated with 9 Mendelian diseases and/or phenotypes. Functional annotation of genes under selection highlighted a noteworthy enrichment of biological processes to receptor pathway and activity as well as glutathione metabolism. Additionally, pathways of potential concern for health such as drug metabolism, infectious diseases and cancers exhibited significant enrichment. The distinctive genetic makeup of the Tunisians might have been influenced by various factors including natural selection and genetic drift, resulting in the development of distinct genetic variations playing roles in specific biological processes. Our research provides a justification for focusing on the exclusive genome organization of this population and uncovers previously overlooked elements of the genome.
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Affiliation(s)
- Lilia Romdhane
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.
- Department of Biology, Faculty of Sciences of Bizerte, University of Carthage, Zarzouna, Tunisia.
| | - Sameh Kefi
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Nessrine Mezzi
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Najla Abassi
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Haifa Jmel
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Safa Romdhane
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Jingxuan Shan
- Laboratory of Genetic Medicine and Immunology, Weill Cornell Medicine-Qatar, Education City-Qatar Foundation, Doha, Qatar
- Department of Genetic Medicine, Weill Cornell Medicine, New York, NY, USA
- Genetic Intelligence Laboratory, Weill Cornell Medicine in Qatar, Education City, Qatar Foundation, Doha, Qatar
| | - Lotfi Chouchane
- Laboratory of Genetic Medicine and Immunology, Weill Cornell Medicine-Qatar, Education City-Qatar Foundation, Doha, Qatar
- Department of Genetic Medicine, Weill Cornell Medicine, New York, NY, USA
- Genetic Intelligence Laboratory, Weill Cornell Medicine in Qatar, Education City, Qatar Foundation, Doha, Qatar
| | - Sonia Abdelhak
- Genomics and Oncogenetics Laboratory (LR16IPT05), Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
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Yang L, Han J, Deng T, Li F, Han X, Xia H, Quan F, Hua G, Yang L, Zhou Y. Comparative analyses of copy number variations between swamp buffaloes and river buffaloes. Anim Genet 2023; 54:199-206. [PMID: 36683294 DOI: 10.1111/age.13288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 11/24/2022] [Accepted: 12/12/2022] [Indexed: 01/24/2023]
Abstract
As an important source of genomic variation, copy number variation (CNV) contributes to environmental adaptation in worldwide buffaloes. Despite this importance, CNV divergence between swamp buffaloes and river buffaloes has not been studied previously. Here, we report 21 152 CNV regions (CNVRs) in 141 buffaloes of 20 breeds detected through multiple CNV calling strategies. Only 248 CNVRs were shared between river buffalo and swamp buffalo, reflecting great variation of CNVRs between the two subspecies. Population structure analysis based on CNVs successfully separated the two buffalo subspecies. We further assessed CNV divergence by calculating FST for genome-wide CNVs. Totally, we identified 110 significantly divergent CNV segments and 44 putatively selected genes between river buffaloes and swamp buffaloes. In particular, LALBA, a key gene controlling milk production in cattle, presented a highly differentiated CNV in the promoter region, which makes it a strong functional candidate gene for differences between swamp buffaloes and river buffaloes in traits related to milk production. Our study provides useful information of CNVs in buffaloes, which may help explain the genetic differences between the two subspecies.
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Affiliation(s)
- Lv Yang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.,National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Frontiers Science Center for Animal Breeding and Sustainable Production, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Jiazheng Han
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.,National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Frontiers Science Center for Animal Breeding and Sustainable Production, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Tingxian Deng
- Guangxi Provincial Key Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, China
| | - Fan Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.,National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Frontiers Science Center for Animal Breeding and Sustainable Production, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Xiaotao Han
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.,National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Frontiers Science Center for Animal Breeding and Sustainable Production, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Han Xia
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.,National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Frontiers Science Center for Animal Breeding and Sustainable Production, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Fanfan Quan
- Livestock and Poultry Breeding Center of Hubei Province, Wuhan, China
| | - Guohua Hua
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.,National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Frontiers Science Center for Animal Breeding and Sustainable Production, Huazhong Agricultural University, Wuhan, Hubei, China.,Hubei Province's Engineering Research Center in Buffalo Breeding and Products, Wuhan, China
| | - Liguo Yang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.,National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Frontiers Science Center for Animal Breeding and Sustainable Production, Huazhong Agricultural University, Wuhan, Hubei, China.,Hubei Province's Engineering Research Center in Buffalo Breeding and Products, Wuhan, China
| | - Yang Zhou
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, China.,National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Frontiers Science Center for Animal Breeding and Sustainable Production, Huazhong Agricultural University, Wuhan, Hubei, China.,Hubei Province's Engineering Research Center in Buffalo Breeding and Products, Wuhan, China
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5
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Nilsson E, Sadler-Riggleman I, Beck D, Skinner MK. Differential DNA methylation in somatic and sperm cells of hatchery vs wild (natural-origin) steelhead trout populations. ENVIRONMENTAL EPIGENETICS 2021; 7:dvab002. [PMID: 34040807 PMCID: PMC8132314 DOI: 10.1093/eep/dvab002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 03/09/2021] [Accepted: 03/01/2021] [Indexed: 05/06/2023]
Abstract
Environmental factors such as nutrition, stress, and toxicants can influence epigenetic programming and phenotypes of a wide variety of species from plants to humans. The current study was designed to investigate the impacts of hatchery spawning and rearing on steelhead trout (Oncorhynchus mykiss) vs the wild fish on a molecular level. Additionally, epigenetic differences between feeding practices that allow slow growth (2 years) and fast growth (1 year) hatchery trout were investigated. The sperm and red blood cells (RBC) from adult male slow growth/maturation hatchery steelhead, fast growth/maturation hatchery steelhead, and wild (natural-origin) steelhead were collected for DNA preparation to investigate potential alterations in differential DNA methylation regions (DMRs) and genetic mutations, involving copy number variations (CNVs). The sperm and RBC DNA both had a large number of DMRs when comparing the hatchery vs wild steelhead trout populations. The DMRs were cell type specific with negligible overlap. Slow growth/maturation compared to fast growth/maturation steelhead also had a larger number of DMRs in the RBC samples. A number of the DMRs had associated genes that were correlated to various biological processes and pathologies. Observations demonstrate a major epigenetic programming difference between the hatchery and wild natural-origin fish populations, but negligible genetic differences. Therefore, hatchery conditions and growth/maturation rate can alter the epigenetic developmental programming of the steelhead trout. Interestingly, epigenetic alterations in the sperm allow for potential epigenetic transgenerational inheritance of phenotypic variation to future generations. The impacts of hatchery exposures are not only important to consider on the fish exposed, but also on future generations and evolutionary trajectory of fish in the river populations.
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Affiliation(s)
- Eric Nilsson
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA 99164-4236, USA
| | - Ingrid Sadler-Riggleman
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA 99164-4236, USA
| | - Daniel Beck
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA 99164-4236, USA
| | - Michael K Skinner
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA 99164-4236, USA
- Correspondence address. Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA 99164-4236, USA. Tel: +1-509-335-1524; E-mail:
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Hu Y, Xia H, Li M, Xu C, Ye X, Su R, Zhang M, Nash O, Sonstegard TS, Yang L, Liu GE, Zhou Y. Comparative analyses of copy number variations between Bos taurus and Bos indicus. BMC Genomics 2020; 21:682. [PMID: 33004001 PMCID: PMC7528262 DOI: 10.1186/s12864-020-07097-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 09/23/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Bos taurus and Bos indicus are two main sub-species of cattle. However, the differential copy number variations (CNVs) between them are not yet well studied. RESULTS Based on the new high-quality cattle reference genome ARS-UCD1.2, we identified 13,234 non-redundant CNV regions (CNVRs) from 73 animals of 10 cattle breeds (4 Bos taurus and 6 Bos indicus), by integrating three detection strategies. While 6990 CNVRs (52.82%) were shared by Bos taurus and Bos indicus, large CNV differences were discovered between them and these differences could be used to successfully separate animals into two subspecies. We found that 2212 and 538 genes uniquely overlapped with either indicine-specific CNVRs and or taurine-specific CNVRs, respectively. Based on FST, we detected 16 candidate lineage-differential CNV segments (top 0.1%) under selection, which overlapped with eight genes (CTNNA1, ENSBTAG00000004415, PKN2, BMPER, PDE1C, DNAJC18, MUSK, and PLCXD3). Moreover, we obtained 1.74 Mbp indicine-specific sequences, which could only be mapped on the Bos indicus reference genome UOA_Brahman_1. We found these sequences and their associated genes were related to heat resistance, lipid and ATP metabolic process, and muscle development under selection. We further analyzed and validated the top significant lineage-differential CNV. This CNV overlapped genes related to muscle cell differentiation, which might be generated from a retropseudogene of CTH but was deleted along Bos indicus lineage. CONCLUSIONS This study presents a genome wide CNV comparison between Bos taurus and Bos indicus. It supplied essential genome diversity information for understanding of adaptation and phenotype differences between the Bos taurus and Bos indicus populations.
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Affiliation(s)
- Yan Hu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Han Xia
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Mingxun Li
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Building 306, Room 111, BARC-East, Beltsville, MD, 20705, USA
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, China
| | - Chang Xu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xiaowei Ye
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Ruixue Su
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Mai Zhang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Oyekanmi Nash
- Centre for Genomics Research and Innovation, National Biotechnology Development Agency, Abuja, Nigeria
| | | | - Liguo Yang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Building 306, Room 111, BARC-East, Beltsville, MD, 20705, USA.
| | - Yang Zhou
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.
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7
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Zhang Y, Hu Y, Wang X, Jiang Q, Zhao H, Wang J, Ju Z, Yang L, Gao Y, Wei X, Bai J, Zhou Y, Huang J. Population Structure, and Selection Signatures Underlying High-Altitude Adaptation Inferred From Genome-Wide Copy Number Variations in Chinese Indigenous Cattle. Front Genet 2020; 10:1404. [PMID: 32117428 PMCID: PMC7033542 DOI: 10.3389/fgene.2019.01404] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Accepted: 12/23/2019] [Indexed: 12/12/2022] Open
Abstract
Copy number variations (CNVs) have been demonstrated as crucial substrates for evolution, adaptation and breed formation. Chinese indigenous cattle breeds exhibit a broad geographical distribution and diverse environmental adaptability. Here, we analyzed the population structure and adaptation to high altitude of Chinese indigenous cattle based on genome-wide CNVs derived from the high-density BovineHD SNP array. We successfully detected the genome-wide CNVs of 318 individuals from 24 Chinese indigenous cattle breeds and 37 yaks as outgroups. A total of 5,818 autosomal CNV regions (683 bp-4,477,860 bp in size), covering ~14.34% of the bovine genome (UMD3.1), were identified, showing abundant CNV resources. Neighbor-joining clustering, principal component analysis (PCA), and population admixture analysis based on these CNVs support that most Chinese cattle breeds are hybrids of Bos taurus taurus (hereinafter to be referred as Bos taurus) and Bos taurus indicus (Bos indicus). The distribution patterns of the CNVs could to some extent be related to the geographical backgrounds of the habitat of the breeds, and admixture among cattle breeds from different districts. We analyzed the selective signatures of CNVs positively involved in high-altitude adaptation using pairwise Fst analysis within breeds with a strong Bos taurus background (taurine-type breeds) and within Bos taurus×Bos indicus hybrids, respectively. CNV-overlapping genes with strong selection signatures (at top 0.5% of Fst value), including LETM1 (Fst = 0.490), TXNRD2 (Fst = 0.440), and STUB1 (Fst = 0.420) within taurine-type breeds, and NOXA1 (Fst = 0.233), RUVBL1 (Fst = 0.222), and SLC4A3 (Fst=0.154) within hybrids, were potentially involved in the adaptation to hypoxia. Thus, we provide a new profile of population structure from the CNV aspects of Chinese indigenous cattle and new insights into high-altitude adaptation in cattle.
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Affiliation(s)
- Yaran Zhang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yan Hu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiuge Wang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Qiang Jiang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Han Zhao
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Jinpeng Wang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Zhihua Ju
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Liguo Yang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yaping Gao
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Xiaochao Wei
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Jiachen Bai
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yang Zhou
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Jinming Huang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Sciences, Jinan, China.,Engineering Center of Animal Breeding and Reproduction, Jinan, China
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Identification of Copy Number Variation in Domestic Chicken Using Whole-Genome Sequencing Reveals Evidence of Selection in the Genome. Animals (Basel) 2019; 9:ani9100809. [PMID: 31618984 PMCID: PMC6826909 DOI: 10.3390/ani9100809] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 10/13/2019] [Accepted: 10/14/2019] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Chickens have been bred for meat and egg production as a source of animal protein. With the increase of productivity as the main purpose of domestication, factors such as metabolism and immunity were boosted, which are detectable signs of selection on the genome. This study focused on copy number variation (CNV) to find evidence of domestication on the genome. CNV was detected from whole-genome sequencing of 65 chickens including Red Jungle Fowl, broilers, and layers. After that, CNV region, the overlapping region of CNV between individuals, was made to identify which genomic regions showed copy number differentiation. The 663 domesticated-specific CNV regions were associated with various functions such as metabolism and organ development. Also, by performing population differentiation analyses such as clustering analysis and ANOVA test, we found that there are a lot of genomic regions with different copy number patterns between broilers and layers. This result indicates that different genetic variations can be found, depending on the purpose of artificial selection and provides considerations for future animal breeding. Abstract Copy number variation (CNV) has great significance both functionally and evolutionally. Various CNV studies are in progress to find the cause of human disease and to understand the population structure of livestock. Recent advances in next-generation sequencing (NGS) technology have made CNV detection more reliable and accurate at whole-genome level. However, there is a lack of CNV studies on chickens using NGS. Therefore, we obtained whole-genome sequencing data of 65 chickens including Red Jungle Fowl, Cornish (broiler), Rhode Island Red (hybrid), and White Leghorn (layer) from the public databases for CNV region (CNVR) detection. Using CNVnator, a read-depth based software, a total of 663 domesticated-specific CNVRs were identified across autosomes. Gene ontology analysis of genes annotated in CNVRs showed that mainly enriched terms involved in organ development, metabolism, and immune regulation. Population analysis revealed that CN and RIR are closer to each other than WL, and many genes (LOC772271, OR52R1, RD3, ADH6, TLR2B, PRSS2, TPK1, POPDC3, etc.) with different copy numbers between breeds found. In conclusion, this study has helped to understand the genetic characteristics of domestic chickens at CNV level, which may provide useful information for the development of breeding systems in chickens.
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Bi H, Liu Y, Tian T, Xia T, Pu R, Zhang Y, Hu F, Zhao Y. A Propensity Score-adjusted Analysis of the Effects of Ubiquitin E3 Ligase Copy Number Variation in Peripheral Blood Leukocytes on Colorectal Cancer Risk. J Cancer 2019; 10:3291-3302. [PMID: 31289601 PMCID: PMC6603381 DOI: 10.7150/jca.29872] [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] [Received: 09/11/2018] [Accepted: 05/07/2019] [Indexed: 12/29/2022] Open
Abstract
Background: The ubiquitin ligases E3 (E3s) plays a key role in the specific protein degradation in many carcinogenic biological processes. Colorectal cancer (CRC) development may be affected by the copy number variation (CNV) of E3s. Prior studies may have underestimated the impact of potential confounding factors' effects on the association between gene CNV and CRC risk, and CRC risk predictive model integrating gene CNV patterns is lacking. Our research sought to assess the genes CNVs of MDM2, SKP2, FBXW7, β-TRCP, and NEDD4-1 and CRC risk by using propensity score (PS) adjustment and developing models that integrate CNV patterns for CRC risk predictions. Methods: This study comprising 1036 participants used traditional regression and different PS techniques to adjust the confounding factors to evaluate the relationships between five gene CNVs and CRC risk, and to establish a CRC risk predictive model. The AUC was applied to evaluate the effect of the model. The categorical net reclassification improvement (NRI) and the integrated discrimination improvement (IDI) were analyzed to evaluate the discriminatory accuracy improvement among the models. Results: Compared to variable adjustment, the odds ratios (ORs) tended to be conservative and accurate with narrow confidence intervals (CIs) after PS adjustment. After PS adjustment, MDM2 amplification was related to increased CRC risk (Amp-pattern: OR = 8.684, 95% CI: 1.213-62.155, P = 0.031), whereas SKP2 deletion and the (del+amp) genotype were associated with reduced CRC risk (Del-pattern: OR = 0.323, 95% CI: 0.106-0.979, P = 0.046; Var-pattern: OR = 0.339, 95% CI: 0.135-0.854, P = 0.024). The predictive model integrating the gene CNV pattern could correctly reclassify 1.7% of the subjects. Conclusions: MDM2 amplification and SKP2 CNVs are associated with increased and decreased CRC risk, respectively; abnormal CNV-integrated model is more precise for predicting CRC risk. Further studies are needed to verify these encouraging outcomes.
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Affiliation(s)
- Haoran Bi
- Department of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Harbin, Heilongjiang, People's Republic of China
| | - Yupeng Liu
- Department of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Harbin, Heilongjiang, People's Republic of China
| | - Tian Tian
- Department of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Harbin, Heilongjiang, People's Republic of China
| | - Tingting Xia
- Department of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Harbin, Heilongjiang, People's Republic of China
| | - Rui Pu
- Department of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Harbin, Heilongjiang, People's Republic of China
| | - Yiwei Zhang
- Department of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Harbin, Heilongjiang, People's Republic of China
| | - Fulan Hu
- Department of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Harbin, Heilongjiang, People's Republic of China
| | - Yashuang Zhao
- Department of Epidemiology, Public Health College, Harbin Medical University, 157 Baojian Street, Harbin, Heilongjiang, People's Republic of China
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Comparative analyses across cattle genders and breeds reveal the pitfalls caused by false positive and lineage-differential copy number variations. Sci Rep 2016; 6:29219. [PMID: 27381368 PMCID: PMC4933914 DOI: 10.1038/srep29219] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 06/14/2016] [Indexed: 12/31/2022] Open
Abstract
We compared CNV region (CNVR) results derived from 1,682 Nellore cattle with equivalent results derived from our previous analysis of Bovine HapMap samples. By comparing CNV segment frequencies between different genders and groups, we identified 9 frequent, false positive CNVRs with a total length of 0.8 Mbp that were likely caused by assembly errors. Although there was a paucity of lineage specific events, we did find one 54 kb deletion on chr5 significantly enriched in Nellore cattle. A few highly frequent CNVRs present in both datasets were detected within genomic regions containing olfactory receptor, ATP-binding cassette, and major histocompatibility complex genes. We further evaluated their impacts on downstream bioinformatics and CNV association analyses. Our results revealed pitfalls caused by false positive and lineage-differential copy number variations and will increase the accuracy of future CNV studies in both taurine and indicine cattle.
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Radke DW, Lee C. Adaptive potential of genomic structural variation in human and mammalian evolution. Brief Funct Genomics 2015; 14:358-68. [PMID: 26003631 DOI: 10.1093/bfgp/elv019] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Because phenotypic innovations must be genetically heritable for biological evolution to proceed, it is natural to consider new mutation events as well as standing genetic variation as sources for their birth. Previous research has identified a number of single-nucleotide polymorphisms that underlie a subset of adaptive traits in organisms. However, another well-known class of variation, genomic structural variation, could have even greater potential to produce adaptive phenotypes, due to the variety of possible types of alterations (deletions, insertions, duplications, among others) at different genomic positions and with variable lengths. It is from these dramatic genomic alterations, and selection on their phenotypic consequences, that adaptations leading to biological diversification could be derived. In this review, using studies in humans and other mammals, we highlight examples of how phenotypic variation from structural variants might become adaptive in populations and potentially enable biological diversification. Phenotypic change arising from structural variants will be described according to their immediate effect on organismal metabolic processes, immunological response and physical features. Study of population dynamics of segregating structural variation can therefore provide a window into understanding current and historical biological diversification.
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Skinner MK, Gurerrero-Bosagna C, Haque MM, Nilsson EE, Koop JAH, Knutie SA, Clayton DH. Epigenetics and the evolution of Darwin's Finches. Genome Biol Evol 2014; 6:1972-89. [PMID: 25062919 PMCID: PMC4159007 DOI: 10.1093/gbe/evu158] [Citation(s) in RCA: 86] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The prevailing theory for the molecular basis of evolution involves genetic mutations that ultimately generate the heritable phenotypic variation on which natural selection acts. However, epigenetic transgenerational inheritance of phenotypic variation may also play an important role in evolutionary change. A growing number of studies have demonstrated the presence of epigenetic inheritance in a variety of different organisms that can persist for hundreds of generations. The possibility that epigenetic changes can accumulate over longer periods of evolutionary time has seldom been tested empirically. This study was designed to compare epigenetic changes among several closely related species of Darwin's finches, a well-known example of adaptive radiation. Erythrocyte DNA was obtained from five species of sympatric Darwin's finches that vary in phylogenetic relatedness. Genome-wide alterations in genetic mutations using copy number variation (CNV) were compared with epigenetic alterations associated with differential DNA methylation regions (epimutations). Epimutations were more common than genetic CNV mutations among the five species; furthermore, the number of epimutations increased monotonically with phylogenetic distance. Interestingly, the number of genetic CNV mutations did not consistently increase with phylogenetic distance. The number, chromosomal locations, regional clustering, and lack of overlap of epimutations and genetic mutations suggest that epigenetic changes are distinct and that they correlate with the evolutionary history of Darwin's finches. The potential functional significance of the epimutations was explored by comparing their locations on the genome to the location of evolutionarily important genes and cellular pathways in birds. Specific epimutations were associated with genes related to the bone morphogenic protein, toll receptor, and melanogenesis signaling pathways. Species-specific epimutations were significantly overrepresented in these pathways. As environmental factors are known to result in heritable changes in the epigenome, it is possible that epigenetic changes contribute to the molecular basis of the evolution of Darwin's finches.
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Affiliation(s)
- Michael K Skinner
- Center for Reproductive Biology, School of Biological Sciences, Washington State University
| | - Carlos Gurerrero-Bosagna
- Center for Reproductive Biology, School of Biological Sciences, Washington State UniversityPresent address: Department of Physics, Biology and Chemistry (IFM), Linköping University, Sweden
| | - M Muksitul Haque
- Center for Reproductive Biology, School of Biological Sciences, Washington State University
| | - Eric E Nilsson
- Center for Reproductive Biology, School of Biological Sciences, Washington State University
| | - Jennifer A H Koop
- Department of Biology, University of UtahPresent address: Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ
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Ali Hassan NZ, Mokhtar NM, Kok Sin T, Mohamed Rose I, Sagap I, Harun R, Jamal R. Integrated analysis of copy number variation and genome-wide expression profiling in colorectal cancer tissues. PLoS One 2014; 9:e92553. [PMID: 24694993 PMCID: PMC3973632 DOI: 10.1371/journal.pone.0092553] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Accepted: 02/24/2014] [Indexed: 12/24/2022] Open
Abstract
Integrative analyses of multiple genomic datasets for selected samples can provide better insight into the overall data and can enhance our knowledge of cancer. The objective of this study was to elucidate the association between copy number variation (CNV) and gene expression in colorectal cancer (CRC) samples and their corresponding non-cancerous tissues. Sixty-four paired CRC samples from the same patients were subjected to CNV profiling using the Illumina HumanOmni1-Quad assay, and validation was performed using multiplex ligation probe amplification method. Genome-wide expression profiling was performed on 15 paired samples from the same group of patients using the Affymetrix Human Gene 1.0 ST array. Significant genes obtained from both array results were then overlapped. To identify molecular pathways, the data were mapped to the KEGG database. Whole genome CNV analysis that compared primary tumor and non-cancerous epithelium revealed gains in 1638 genes and losses in 36 genes. Significant gains were mostly found in chromosome 20 at position 20q12 with a frequency of 45.31% in tumor samples. Examples of genes that were associated at this cytoband were PTPRT, EMILIN3 and CHD6. The highest number of losses was detected at chromosome 8, position 8p23.2 with 17.19% occurrence in all tumor samples. Among the genes found at this cytoband were CSMD1 and DLC1. Genome-wide expression profiling showed 709 genes to be up-regulated and 699 genes to be down-regulated in CRC compared to non-cancerous samples. Integration of these two datasets identified 56 overlapping genes, which were located in chromosomes 8, 20 and 22. MLPA confirmed that the CRC samples had the highest gains in chromosome 20 compared to the reference samples. Interpretation of the CNV data in the context of the transcriptome via integrative analyses may provide more in-depth knowledge of the genomic landscape of CRC.
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Affiliation(s)
- Nur Zarina Ali Hassan
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Cheras, Kuala Lumpur, Malaysia
| | - Norfilza Mohd Mokhtar
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Cheras, Kuala Lumpur, Malaysia
- Department of Physiology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
- * E-mail: (NMM); (RJ)
| | - Teow Kok Sin
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Cheras, Kuala Lumpur, Malaysia
| | - Isa Mohamed Rose
- Department of Pathology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Ismail Sagap
- Department of Surgery, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Roslan Harun
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Cheras, Kuala Lumpur, Malaysia
- Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Rahman Jamal
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Cheras, Kuala Lumpur, Malaysia
- * E-mail: (NMM); (RJ)
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Kanduri C, Ukkola-Vuoti L, Oikkonen J, Buck G, Blancher C, Raijas P, Karma K, Lähdesmäki H, Järvelä I. The genome-wide landscape of copy number variations in the MUSGEN study provides evidence for a founder effect in the isolated Finnish population. Eur J Hum Genet 2013; 21:1411-6. [PMID: 23591402 DOI: 10.1038/ejhg.2013.60] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2012] [Revised: 03/03/2013] [Accepted: 03/07/2013] [Indexed: 11/09/2022] Open
Abstract
Here we characterized the genome-wide architecture of copy number variations (CNVs) in 286 healthy, unrelated Finnish individuals belonging to the MUSGEN study, where molecular background underlying musical aptitude and related traits are studied. By using Illumina HumanOmniExpress-12v.1.0 beadchip, we identified 5493 CNVs that were spread across 467 different cytogenetic regions, spanning a total size of 287.83 Mb (∼9.6% of the human genome). Merging the overlapping CNVs across samples resulted in 999 discrete copy number variable regions (CNVRs), of which ∼6.9% were putatively novel. The average number of CNVs per person was 20, whereas the average size of CNV per locus was 52.39 kb. Large CNVs (>1 Mb) were present in 4% of the samples. The proportion of homozygous deletions in this data set (∼12.4%) seemed to be higher when compared with three other populations. Interestingly, several CNVRs were significantly enriched in this sample set, whereas several others were totally depleted. For example, a CNVR at chr2p22.1 intersecting GALM was more common in this population (P=3.3706 × 10(-44)) than in African and other European populations. The enriched CNVRs, however, showed no significant association with music-related phenotypes. Moreover, the most common CNV locations in world's normal population cohorts (6q14.1, 11q11) were overrepresented in this population. Thus, the genome-wide CNV investigation in this Finnish sample set demonstrated features that are characteristic to isolated populations. Novel CNVRs and the functional implications of CNVs revealed in this study elucidate structural variation present in this population isolate, and may also serve as candidate gene loci for music-related traits.
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