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Cai H, Li X, Niu X, Li J, Lan X, Lei C, Huang Y, Xu H, Li M, Chen H. Copy number variations within fibroblast growth factor 13 gene influence growth traits and alternative splicing in cattle. Anim Biotechnol 2024; 35:2314104. [PMID: 38426908 DOI: 10.1080/10495398.2024.2314104] [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] [Indexed: 03/02/2024]
Abstract
Previous researches revealed a copy number variation (CNV) region in the bovine fibroblast growth factor 13 (FGF13) gene. However, its effects remain unknown. This study detected the various copy number types in seven Chinese cattle breeds and analysed their population genetic characteristics and effects on growth traits and transcription levels. Copy number Loss was more frequent in Caoyuan Red cattle and Xianan cattle than in the other breeds. Association analysis between CNV and growth traits of Qinchuan indicated that the CNV was significantly related to chest depth, hip width and hucklebone width (P < 0.05). Additionally, the growth traits of individuals with copy number Loss were significantly inferior to those with copy number Gain or Median (P < 0.05). Besides, we found two splicing isoforms, AS1 and AS2, in FGF13 gene, which resulted from alternative 5' splicing sites of intron 1. These isoforms showed varied expression levels in various tissues. Moreover, CNV was significantly and negatively associated with the mRNA expression of AS1 (r = -0.525, P < 0.05). The CNVs in bovine FGF13 gene negatively regulated growth traits and gene transcription. These observations provide new insights into bovine FGF13 gene, delivering potentially useful information for future Chinese cattle breeding programs.
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Affiliation(s)
- Hanfang Cai
- College of Animal Science and Technology, Henan Agriculture University, Zhengzhou, China
| | - Xin Li
- College of Animal Science and Technology, Henan Agriculture University, Zhengzhou, China
| | - Xinran Niu
- College of Animal Science and Technology, Henan Agriculture University, Zhengzhou, China
| | - Jing Li
- Animal Health Supervision Institute of Biyang, Biyang, Henan, China
| | - Xianyong Lan
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Yongzhen Huang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Huifen Xu
- College of Animal Science and Technology, Henan Agriculture University, Zhengzhou, China
| | - Ming Li
- College of Animal Science and Technology, Henan Agriculture University, Zhengzhou, China
| | - Hong Chen
- College of Animal Science, Xinjiang Agriculture University, Urumqi, China
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2
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Banks CM, Trott JF, Hovey RC. The prolactin receptor: A cross-species comparison of gene structure, transcriptional regulation, tissue-specificity, and genetic variation. J Neuroendocrinol 2024:e13385. [PMID: 38586906 DOI: 10.1111/jne.13385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 02/25/2024] [Accepted: 03/13/2024] [Indexed: 04/09/2024]
Abstract
The conserved and multifaceted functions of prolactin (PRL) are coordinated through varied distribution and expression of its cell-surface receptor (PRLR) across a range of tissues and physiological states. The resultant heterogeneous expression of PRLR mRNA and protein across different organs and cell types supports a wide range of PRL-regulated processes including reproduction, lactation, development, and homeostasis. Genetic variation within the PRLR gene also accounts for several phenotypes impacting agricultural production and human pathology. The goal of this review is to highlight the many elements that control differential expression of the PRLR across tissues, and the various phenotypes that exist across species due to variation in the PRLR gene.
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Affiliation(s)
- Carmen M Banks
- Department of Animal Science, University of California, Davis, Davis, California, USA
| | - Josephine F Trott
- Department of Animal Science, University of California, Davis, Davis, California, USA
| | - Russell C Hovey
- Department of Animal Science, University of California, Davis, Davis, California, USA
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3
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Du L, Ma W, Peng W, Zhao H, Zhao J, Wang J, Wang W, Lyu S, Zhang Z, Qi X, Wang E, Lei C, Huang Y. Impact of STAT5A-CNVs on growth traits in Chinese beef cattle breeds. Gene 2024; 896:148073. [PMID: 38086453 DOI: 10.1016/j.gene.2023.148073] [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: 09/20/2023] [Revised: 11/30/2023] [Accepted: 12/08/2023] [Indexed: 12/18/2023]
Abstract
CNVs, which are a type of structural variation, make a substantial impact on diverse characteristics in multiple species. Q-PCR and data association analysis were used for STAT5A gene copy in this study. This study aimed to investigate the copy number variation (CNV) of the STAT5A gene in seven Chinese cattle breeds, namely Qinchuan cattle, Xianan cattle, Yunling cattle, Ji'an cattle, Jiaxian Red cattle, Qaidam cattle, and Guyuan yellow cattle. Blood samples were collected for CNV typing, and the correlation between CNV type and growth traits was analyzed using SPSS 23.0 software and ANOVA. The findings revealed variations in the distribution of different copy number types among the different cattle breeds. Furthermore, association analysis demonstrated a positive impact of CNV in the STAT5A gene on cattle growth: in the JX, individuals with duplication types exhibited superior performance in terms of rump length (P < 0.05). Conversely, normal GY cattle demonstrated better body height and abdomen circumference (P < 0.05), while QD cattle exhibited a significant correlation between weight and body length with normal individuals (P < 0.05). Moreover, QC bovine duplication individuals outperformed other types, with copy number variation significantly associated with chest depth, chest width, and body length (P < 0.05). The results validate the correlation between copy number variation (CNV) of the STAT5A gene and growth characteristics in five different cattle breeds, providing a reliable benchmark for the purpose of cattle breeding.
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Affiliation(s)
- Lei Du
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
| | - Weidong Ma
- Shaanxi Agricultural and Animal Husbandry Seed Farm, Shaanxi, Fufeng 722203, People's Republic of China
| | - Wei Peng
- Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, People's Republic of China
| | - Huangqing Zhao
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
| | - Jiahao Zhao
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
| | - Jiamei Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
| | - Wusheng Wang
- Shaanxi Agricultural and Animal Husbandry Seed Farm, Shaanxi, Fufeng 722203, People's Republic of China
| | - Shijie Lyu
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Zijing Zhang
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Xingshan Qi
- Biyang County Xiananniu Technology Development Co., Ltd, 463700, People's Republic of China
| | - Eryao Wang
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi 712100, People's Republic of China
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Arslan M. Whole-genome sequencing and genomic analysis of Norduz goat (Capra hircus). Mamm Genome 2023:10.1007/s00335-023-09990-3. [PMID: 37004528 DOI: 10.1007/s00335-023-09990-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 03/21/2023] [Indexed: 04/04/2023]
Abstract
Artificial and natural selective breeding of goats has resulted in many different goat breeds all around the world. Norduz goat is one of these breeds, and it is a local goat breed of Turkey. The goats are favorable due to pre-weaning viability and reproduction values compared to the regional breeds. Development in sequencing technologies has let to understand huge genomic structures and complex phenotypes. Until now, such a comprehensive study has not been carried out to understand the genomic structure of the Norduz goats, yet. In the study, the next-generation sequencing was carried out to understand the genomic structure of Norduz goat. Real-time PCR was used to evaluate prominent CNVs in the Norduz goat individuals. Whole genome of the goat was constructed with an average of 33.1X coverage level. In the stringent filtering condition, 9,757,980 SNPs, 1,536,715 InDels, and 290 CNVs were detected in the Norduz goat genome. Functional analysis of high-impact SNP variations showed that the classical complement activation biological process was affected significantly in the goat. CNVs in the goat genome were found in genes related to defense against viruses, immune response, and cell membrane transporters. It was shown that GBP2, GBP5, and mammalian ortholog GBP1, which are INF-stimulated GTPases, were found to be high copy numbers in the goats. To conclude, genetic variations mainly in immunological response processes suggest that Norduz goat is an immunologically improved goat breed and natural selection could take an important role in the genetical improvements of the goats.
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Affiliation(s)
- Mevlüt Arslan
- Department of Genetics, Faculty of Veterinary Medicine, Van Yüzüncü Yıl University, Tuşba, 65080, Van, Turkey.
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Effects of Genetic Variation of the Sorting Nexin 29 ( SNX29) Gene on Growth Traits of Xiangdong Black Goat. Animals (Basel) 2022; 12:ani12243461. [PMID: 36552381 PMCID: PMC9774745 DOI: 10.3390/ani12243461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/20/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
Previous studies have found that the copy number variation (CNV) and insertion/deletion (indels) located in the sorting nexin 29 (SNX29) gene, which is an important candidate gene related to meat production and quality, are associated with growth traits of African goats and Shaanbei white cashmere goats. However, the genetic effects of SNX29 genetic variation on growth traits of Xiangdong black (XDB) goat (a representative meat goat breed in China) are still unclear. The purpose of this study was to detect the mRNA expression level of SNX29 and to explore the genetic effects of CNV and indel within SNX29 on growth traits and gene expression in XDB goat. The SNX29 mRNA expression profile showed that the SNX29 was highly expressed in adipose tissues, indicating that the SNX29 gene could play a key role in subcutaneous adipose deposition of XDB goat. 17 bp indel (g.10559298-10559314), 21 bp indel (g.10918982-10919002) and CNV were detected in 516 individuals of XDB goat by PCR or qPCR. The association analysis of SNX29 CNV with growth traits in XDB goats showed that SNX29 CNV was significantly correlated with chest circumference and abdominal circumference (p < 0.01), and the normal type of SNX29 CNV goat individuals were more advantageous. For the mRNA expression of SNX29 gene, individuals with SNX29 copy number normal type had a higher trend than that of SNX29 gene with copy number gain type in longissimus dorsi muscle (p = 0.07), whereas individuals with SNX29 copy number gain type had a higher trend in abdominal adipose (p = 0.09). Overall, these results suggested that the SNX29 gene could play an important role in growth and development of XDB goats and could be used for marker-assisted selection (MAS) in XDB goats.
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Zhang Z, Peng M, Wen Y, Chai Y, Liang J, Yang P, Liu X, Li J, Huang Y, Li L, Huang W, Qi Z, Yang G, Chen F, Shi Q, Li Z, Ru B, Lei C, Wang E, Huang Y. Copy number variation of
EIF4A2
loci related to phenotypic traits in Chinese cattle. Vet Med Sci 2022; 8:2147-2156. [PMID: 36052549 PMCID: PMC9514498 DOI: 10.1002/vms3.875] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Zijing Zhang
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Mengyang Peng
- College of Animal Science and Technology Northwest A&F University Yangling Shaanxi People's Republic of China
| | - Yifan Wen
- College of Animal Science and Technology Northwest A&F University Yangling Shaanxi People's Republic of China
| | - Yanan Chai
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Juntong Liang
- College of Animal Science and Technology Northwest A&F University Yangling Shaanxi People's Republic of China
| | - Peng Yang
- College of Animal Science and Technology Northwest A&F University Yangling Shaanxi People's Republic of China
| | - Xian Liu
- Henan Provincial Animal Husbandry General Station Zhengzhou Henan People's Republic of China
| | - Jungang Li
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Yajun Huang
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Lijuan Li
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Weihong Huang
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Zengfang Qi
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Guojie Yang
- Jiaxian Animal Husbandry Bureau Jiaxian Henan People's Republic of China
| | - Fuying Chen
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Qiaoting Shi
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Zhiming Li
- Henan Provincial Animal Husbandry General Station Zhengzhou Henan People's Republic of China
| | - Baorui Ru
- Henan Provincial Animal Husbandry General Station Zhengzhou Henan People's Republic of China
| | - Chuzhao Lei
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Eryao Wang
- Institute of Animal Husbandry and Veterinary Science Henan Academy of Agricultural Sciences Zhengzhou Henan People's Republic of China
| | - Yongzhen Huang
- College of Animal Science and Technology Northwest A&F University Yangling Shaanxi People's Republic of China
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7
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Moradi MH, Mahmodi R, Farahani AHK, Karimi MO. Genome-wide evaluation of copy gain and loss variations in three Afghan sheep breeds. Sci Rep 2022; 12:14286. [PMID: 35996004 PMCID: PMC9395407 DOI: 10.1038/s41598-022-18571-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 08/16/2022] [Indexed: 11/23/2022] Open
Abstract
Copy number variation (CNV) is one of the main sources of variation between different individuals that has recently attracted much researcher interest as a major source for heritable variation in complex traits. The aim of this study was to identify CNVs in Afghan indigenous sheep consisting of three Arab, Baluchi, and Gadik breeds using genomic arrays containing 53,862 single nucleotide polymorphism (SNP) markers. Data were analyzed using the Hidden Markov Model (HMM) of PennCNV software. In this study, out of 45 sheep studied, 97.8% (44 animals) have shown CNVs. In total, 411 CNVs were observed for autosomal chromosomes and the entire sequence length of around 144 Mb was identified across the genome. The average number of CNVs per each sheep was 9.13. The identified CNVs for Arab, Baluchi, and Gadik breeds were 306, 62, and 43, respectively. After merging overlapped regions, a total of 376 copy number variation regions (CNVR) were identified, which are 286, 50, and 40 for Arab, Baluchi, and Gadik breeds, respectively. Bioinformatics analysis was performed to identify the genes and QTLs reported in these regions and the biochemical pathways involved by these genes. The results showed that many of these CNVRs overlapped with the genes or QTLs that are associated with various pathways such as immune system development, growth, reproduction, and environmental adaptions. Furthermore, to determine a genome-wide pattern of selection signatures in Afghan sheep breeds, the unbiased estimates of FST was calculated and the results indicated that 37 of the 376 CNVRs (~ 10%) have been also under selection signature, most of those overlapped with the genes influencing production, reproduction and immune system. Finally, the statistical methods used in this study was applied in an external dataset including 96 individuals of the Iranian sheep breed. The results indicated that 20 of the 114 CNVRs (18%) identified in Iranian sheep breed were also identified in our study, most of those overlapped with the genes influencing production, reproduction and immune system. Overall, this is the first attempts to develop the genomic map of loss and gain variation in the genome of Afghan indigenous sheep breeds, and may be important to shed some light on the genomic regions associated with some economically important traits in these breeds.
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Affiliation(s)
- Mohammad Hossein Moradi
- Department of Animal Science, Faculty of Agriculture and Natural Resources, Arak University, Arak, 38156-8-8349, Iran.
| | - Roqiah Mahmodi
- Department of Animal Science, Faculty of Agriculture and Natural Resources, Arak University, Arak, 38156-8-8349, Iran
| | | | - Mohammad Osman Karimi
- Department of Animal Science, Faculty of Agriculture and Natural Resources, Herat University, Herat, Afghanistan
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8
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Yang L, Gao Y, Oswalt A, Fang L, Boschiero C, Neupane M, Sattler CG, Li CJ, Seroussi E, Xu L, Yang L, Li L, Zhang H, Rosen BD, Van Tassell CP, Zhou Y, Ma L, Liu GE. Towards the detection of copy number variation from single sperm sequencing in cattle. BMC Genomics 2022; 23:215. [PMID: 35300589 PMCID: PMC8928590 DOI: 10.1186/s12864-022-08441-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 10/15/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Copy number variation (CNV) has been routinely studied using bulk-cell sequencing. However, CNV is not well studied on the single-cell level except for humans and a few model organisms. RESULTS We sequenced 143 single sperms of two Holstein bulls, from which we predicted CNV events using 14 single sperms with deep sequencing. We then compared the CNV results derived from single sperms with the bulk-cell sequencing of one bull's family trio of diploid genomes. As a known CNV hotspot, segmental duplications were also predicted using the bovine ARS-UCD1.2 genome. Although the trio CNVs validated only some single sperm CNVs, they still showed a distal chromosomal distribution pattern and significant associations with segmental duplications and satellite repeats. CONCLUSION Our preliminary results pointed out future research directions and highlighted the importance of uniform whole genome amplification, deep sequence coverage, and dedicated software pipelines for CNV detection using single cell sequencing data.
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Affiliation(s)
- Liu Yang
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD, 20705, USA.,College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yahui Gao
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD, 20705, USA.,Department of Animal and Avian Sciences, University of Maryland, College Park, MD, 20742, USA
| | - Adam Oswalt
- Select Sires Inc, 11740 U.S. 42 North, Plain City, OH, 43064, USA
| | - Lingzhao Fang
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Clarissa Boschiero
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD, 20705, USA
| | - Mahesh Neupane
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD, 20705, USA
| | | | - Cong-Jun Li
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD, 20705, USA
| | - Eyal Seroussi
- Agricultural Research Organization (ARO), Institute of Animal Science, HaMaccabim Road, P.O.B 15159, 7528809, Volcani CenterRishon LeTsiyon, Israel
| | - Lingyang Xu
- Innovation Team of Cattle Genetic Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Lv 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
| | - Li Li
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Hongping Zhang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD, 20705, USA
| | - Curtis P Van Tassell
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, 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
| | - Li Ma
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, 20742, USA.
| | - George E Liu
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD, 20705, USA.
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Assessment of linkage disequilibrium patterns between structural variants and single nucleotide polymorphisms in three commercial chicken populations. BMC Genomics 2022; 23:193. [PMID: 35264116 PMCID: PMC8908679 DOI: 10.1186/s12864-022-08418-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 02/24/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Structural variants (SV) are causative for some prominent phenotypic traits of livestock as different comb types in chickens or color patterns in pigs. Their effects on production traits are also increasingly studied. Nevertheless, accurately calling SV remains challenging. It is therefore of interest, whether close-by single nucleotide polymorphisms (SNPs) are in strong linkage disequilibrium (LD) with SVs and can serve as markers. Literature comes to different conclusions on whether SVs are in LD to SNPs on the same level as SNPs to other SNPs. The present study aimed to generate a precise SV callset from whole-genome short-read sequencing (WGS) data for three commercial chicken populations and to evaluate LD patterns between the called SVs and surrounding SNPs. It is thereby the first study that assessed LD between SVs and SNPs in chickens. RESULTS The final callset consisted of 12,294,329 bivariate SNPs, 4,301 deletions (DEL), 224 duplications (DUP), 218 inversions (INV) and 117 translocation breakpoints (BND). While average LD between DELs and SNPs was at the same level as between SNPs and SNPs, LD between other SVs and SNPs was strongly reduced (DUP: 40%, INV: 27%, BND: 19% of between-SNP LD). A main factor for the reduced LD was the presence of local minor allele frequency differences, which accounted for 50% of the difference between SNP - SNP and DUP - SNP LD. This was potentially accompanied by lower genotyping accuracies for DUP, INV and BND compared with SNPs and DELs. An evaluation of the presence of tag SNPs (SNP in highest LD to the variant of interest) further revealed DELs to be slightly less tagged by WGS SNPs than WGS SNPs by other SNPs. This difference, however, was no longer present when reducing the pool of potential tag SNPs to SNPs located on four different chicken genotyping arrays. CONCLUSIONS The results implied that genomic variance due to DELs in the chicken populations studied can be captured by different SNP marker sets as good as variance from WGS SNPs, whereas separate SV calling might be advisable for DUP, INV, and BND effects.
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10
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Guo S, Wu X, Pei J, Wang X, Bao P, Xiong L, Chu M, Liang C, Yan P, Guo X. Genome-wide CNV analysis reveals variants associated with high-altitude adaptation and meat traits in Qaidam cattle. ELECTRON J BIOTECHN 2021. [DOI: 10.1016/j.ejbt.2021.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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11
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Fernandes AC, da Silva VH, Goes CP, Moreira GCM, Godoy TF, Ibelli AMG, Peixoto JDO, Cantão ME, Ledur MC, de Rezende FM, Coutinho LL. Genome-wide detection of CNVs and their association with performance traits in broilers. BMC Genomics 2021; 22:354. [PMID: 34001004 PMCID: PMC8130382 DOI: 10.1186/s12864-021-07676-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 05/05/2021] [Indexed: 12/12/2022] Open
Abstract
Background Copy number variations (CNVs) are a major type of structural genomic variants that underlie genetic architecture and phenotypic variation of complex traits, not only in humans, but also in livestock animals. We identified CNVs along the chicken genome and analyzed their association with performance traits. Genome-wide CNVs were inferred from Affymetrix® high density SNP-chip data for a broiler population. CNVs were concatenated into segments and association analyses were performed with linear mixed models considering a genomic relationship matrix, for birth weight, body weight at 21, 35, 41 and 42 days, feed intake from 35 to 41 days, feed conversion ratio from 35 to 41 days and, body weight gain from 35 to 41 days of age. Results We identified 23,214 autosomal CNVs, merged into 5042 distinct CNV regions (CNVRs), covering 12.84% of the chicken autosomal genome. One significant CNV segment was associated with BWG on GGA3 (q-value = 0.00443); one significant CNV segment was associated with BW35 (q-value = 0.00571), BW41 (q-value = 0.00180) and BW42 (q-value = 0.00130) on GGA3, and one significant CNV segment was associated with BW on GGA5 (q-value = 0.00432). All significant CNV segments were verified by qPCR, and a validation rate of 92.59% was observed. These CNV segments are located nearby genes, such as KCNJ11, MyoD1 and SOX6, known to underlie growth and development. Moreover, gene-set analyses revealed terms linked with muscle physiology, cellular processes regulation and potassium channels. Conclusions Overall, this CNV-based GWAS study unravels potential candidate genes that may regulate performance traits in chickens. Our findings provide a foundation for future functional studies on the role of specific genes in regulating performance in chickens. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07676-1.
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Affiliation(s)
- Anna Carolina Fernandes
- Department of Animal Science, University of São Paulo (USP), Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil
| | - Vinicius Henrique da Silva
- Department of Animal Science, University of São Paulo (USP), Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil
| | - Carolina Purcell Goes
- Department of Animal Science, University of São Paulo (USP), Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil
| | | | - Thaís Fernanda Godoy
- Department of Animal Science, University of São Paulo (USP), Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil
| | | | - Jane de Oliveira Peixoto
- Embrapa Suínos e Aves: Empresa Brasileira de Pesquisa Agropecuária Suínos e Aves, Concórdia, Santa Catarina, Brazil
| | - Maurício Egídio Cantão
- Embrapa Suínos e Aves: Empresa Brasileira de Pesquisa Agropecuária Suínos e Aves, Concórdia, Santa Catarina, Brazil
| | - Mônica Corrêa Ledur
- Embrapa Suínos e Aves: Empresa Brasileira de Pesquisa Agropecuária Suínos e Aves, Concórdia, Santa Catarina, Brazil
| | | | - Luiz Lehmann Coutinho
- Department of Animal Science, University of São Paulo (USP), Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil.
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12
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Li J, Fan Z, Shen F, Pendleton AL, Song Y, Xing J, Yue B, Kidd JM, Li J. Genomic Copy Number Variation Study of Nine Macaca Species Provides New Insights into Their Genetic Divergence, Adaptation, and Biomedical Application. Genome Biol Evol 2020; 12:2211-2230. [PMID: 32970804 PMCID: PMC7846157 DOI: 10.1093/gbe/evaa200] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/19/2020] [Indexed: 02/06/2023] Open
Abstract
Copy number variation (CNV) can promote phenotypic diversification and adaptive evolution. However, the genomic architecture of CNVs among Macaca species remains scarcely reported, and the roles of CNVs in adaptation and evolution of macaques have not been well addressed. Here, we identified and characterized 1,479 genome-wide hetero-specific CNVs across nine Macaca species with bioinformatic methods, along with 26 CNV-dense regions and dozens of lineage-specific CNVs. The genes intersecting CNVs were overrepresented in nutritional metabolism, xenobiotics/drug metabolism, and immune-related pathways. Population-level transcriptome data showed that nearly 46% of CNV genes were differentially expressed across populations and also mainly consisted of metabolic and immune-related genes, which implied the role of CNVs in environmental adaptation of Macaca. Several CNVs overlapping drug metabolism genes were verified with genomic quantitative polymerase chain reaction, suggesting that these macaques may have different drug metabolism features. The CNV-dense regions, including 15 first reported here, represent unstable genomic segments in macaques where biological innovation may evolve. Twelve gains and 40 losses specific to the Barbary macaque contain genes with essential roles in energy homeostasis and immunity defense, inferring the genetic basis of its unique distribution in North Africa. Our study not only elucidated the genetic diversity across Macaca species from the perspective of structural variation but also provided suggestive evidence for the role of CNVs in adaptation and genome evolution. Additionally, our findings provide new insights into the application of diverse macaques to drug study.
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Affiliation(s)
- Jing Li
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Zhenxin Fan
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Feichen Shen
- Department of Human Genetics, Medical School, University of Michigan
| | | | - Yang Song
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Jinchuan Xing
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway
| | - Bisong Yue
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Jeffrey M Kidd
- Department of Human Genetics, Medical School, University of Michigan
| | - Jing Li
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
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13
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Bai H, He Y, Ding Y, Chu Q, Lian L, Heifetz EM, Yang N, Cheng HH, Zhang H, Chen J, Song J. Genome-wide characterization of copy number variations in the host genome in genetic resistance to Marek's disease using next generation sequencing. BMC Genet 2020; 21:77. [PMID: 32677890 PMCID: PMC7364486 DOI: 10.1186/s12863-020-00884-w] [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: 07/29/2019] [Accepted: 07/05/2020] [Indexed: 11/13/2022] Open
Abstract
Background Marek’s disease (MD) is a highly neoplastic disease primarily affecting chickens, and remains as a chronic infectious disease that threatens the poultry industry. Copy number variation (CNV) has been examined in many species and is recognized as a major source of genetic variation that directly contributes to phenotypic variation such as resistance to infectious diseases. Two highly inbred chicken lines, 63 (MD-resistant) and 72 (MD-susceptible), as well as their F1 generation and six recombinant congenic strains (RCSs) with varied susceptibility to MD, are considered as ideal models to identify the complex mechanisms of genetic and molecular resistance to MD. Results In the present study, to unravel the potential genetic mechanisms underlying resistance to MD, we performed a genome-wide CNV detection using next generation sequencing on the inbred chicken lines with the assistance of CNVnator. As a result, a total of 1649 CNV regions (CNVRs) were successfully identified after merging all the nine datasets, of which 90 CNVRs were overlapped across all the chicken lines. Within these shared regions, 1360 harbored genes were identified. In addition, 55 and 44 CNVRs with 62 and 57 harbored genes were specifically identified in line 63 and 72, respectively. Bioinformatics analysis showed that the nearby genes were significantly enriched in 36 GO terms and 6 KEGG pathways including JAK/STAT signaling pathway. Ten CNVRs (nine deletions and one duplication) involved in 10 disease-related genes were selected for validation by using quantitative real-time PCR (qPCR), all of which were successfully confirmed. Finally, qPCR was also used to validate two deletion events in line 72 that were definitely normal in line 63. One high-confidence gene, IRF2 was identified as the most promising candidate gene underlying resistance and susceptibility to MD in view of its function and overlaps with data from previous study. Conclusions Our findings provide valuable insights for understanding the genetic mechanism of resistance to MD and the identified gene and pathway could be considered as the subject of further functional characterization.
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Affiliation(s)
- Hao Bai
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou, 225009, China.,Department of Animal & Avian Sciences, University of Maryland, College Park, MD, 20742, USA.,Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Yanghua He
- Department of Animal & Avian Sciences, University of Maryland, College Park, MD, 20742, USA.,Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, HI, 96822, USA
| | - Yi Ding
- Department of Animal & Avian Sciences, University of Maryland, College Park, MD, 20742, USA
| | - Qin Chu
- Department of Animal & Avian Sciences, University of Maryland, College Park, MD, 20742, USA.,Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Ling Lian
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Eliyahu M Heifetz
- Faculty of Health Sciences, Jerusalem College of Technology, 9116001, Jerusalem, Israel
| | - Ning Yang
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Hans H Cheng
- USDA, Agricultural Research Service, Avian Disease and Oncology Laboratory, East Lansing, MI, 48823, USA
| | - Huanmin Zhang
- USDA, Agricultural Research Service, Avian Disease and Oncology Laboratory, East Lansing, MI, 48823, USA
| | - Jilan Chen
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Jiuzhou Song
- Department of Animal & Avian Sciences, University of Maryland, College Park, MD, 20742, USA.
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14
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Xu Z, Wang X, Zhang Z, An Q, Wen Y, Wang D, Liu X, Li Z, Lyu S, Li L, Wang E, Ru B, Xu Z, Huang Y. Copy number variation of CADM2 gene revealed its association with growth traits across Chinese Capra hircus (goat) populations. Gene 2020; 741:144519. [PMID: 32126252 DOI: 10.1016/j.gene.2020.144519] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/26/2020] [Accepted: 02/28/2020] [Indexed: 12/15/2022]
Abstract
Copy number variations (CNVs) are the wide structural variations ranging from 50 bp to several Mb at genome which can affect gene expression and further impacting growth and development traits of livestock. Comparing with single nucleotide polymorphisms (SNPs), CNVs can better explain the genetic and phenotypic diversity, are increasingly important in biological research. As a member of immunoglobulin super-family, cell adhesion molecule 2 (CADM2) plays a vital role in cancer development and metabolic regulation. Here, we tested the CNV of CADM2 gene in 443 goats across five breeds (Guizhou white goat, GZW; Guizhou black goat, GZB; Africa Nubian goat, AN; Boer goat × Huai goat, BH; Boer goat, BG) and detected its association with phenotypic traits. Subsequently, we analyzed the CADM2 gene expression level in different tissues of NB goats (n = 3, Nubian × Black) and the transcriptional expression in lung is much higher than others. The results showed that the CNV of CADM2 has a significant association with withers height and body length in GZB goat (P < 0.01), in which individuals with type of deletion were superior to those with duplication or normal type in term of body hight and body length (P < 0.01). In summary, this study confirmed the association between CNV of CADM2 gene and growth traits, and our research data indicated the CADM2-CNV may considered as a prospective candidate for the molecular marker-assisted selection breeding of goat growth traits, which conducived to accelerating the genetic amelioration in Chinese goats.
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Affiliation(s)
- Zijie Xu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China.
| | - Xianwei Wang
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Zijing Zhang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002, People's Republic of China
| | - Qingming An
- College of Agriculture and Forestry Engineering, Tongren University, Tongren, Guizhou 554300, People's Republic of China
| | - Yifan Wen
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China
| | - Dahui Wang
- College of Agriculture and Forestry Engineering, Tongren University, Tongren, Guizhou 554300, People's Republic of China
| | - Xian Liu
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Zhiming Li
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Shijie Lyu
- College of Agriculture and Forestry Engineering, Tongren University, Tongren, Guizhou 554300, People's Republic of China
| | - Lijuan Li
- Guizhou University of Engineering Science, Institute of Bijie Test Area, Bijie, Guizhou 551700, People's Republic of China
| | - Eryao Wang
- College of Agriculture and Forestry Engineering, Tongren University, Tongren, Guizhou 554300, People's Republic of China
| | - Baorui Ru
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Zejun Xu
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan 450008, People's Republic of China
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, People's Republic of China.
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15
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Yang P, Zhang Z, Xu J, Qu K, Lyv S, Wang X, Cai C, Li Z, Wang E, Xie J, Ru B, Xu Z, Lei C, Chen H, Huang B, Huang Y. The Association of the Copy Number Variation of the MLLT10 Gene with Growth Traits of Chinese Cattle. Animals (Basel) 2020; 10:ani10020250. [PMID: 32033330 PMCID: PMC7070264 DOI: 10.3390/ani10020250] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 01/10/2020] [Accepted: 02/01/2020] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Copy number variation is a common genetic polymorphism, mainly represented by submicroscopic levels of deletion and duplication, caused by rearrangement of the genome. It is well-known that the copy number variation of a gene is associated with growth traits of livestock. In this study, we detected the correlation between the copy number variation of the the MLLT10 gene and the growth traits of Chinese yellow cattle. We found that the copy number variation of the MLLT10 gene has a significant influence on hip width, rump length, hucklebone width, and cannon bone circumference of some Chinese yellow cattle breeds. The results provide preliminary suggestions for Chinese yellow cattle breeding and new insights about the future of copy number variation (CNV) as a new promising molecular marker in animal breeding. Abstract Copy number variation is a part of genomic structural variation and has caused widespread concern. According to the results of high-throughput screening of the MLLT10 gene, we found that the copy number variation region of the MLLT10 gene was correlated with bovine growth traits. We aimed to detect the MLLT10 gene copy number variation and provide materials for the Chinese yellow cattle breed. In this study, the SPSS software was used to analyze the correlation among the copy number type of six different cattle breeds (i.e., Qinchuan, Xianan, Jiaxian, Yanbian, Sinan, Yunling) and the corresponding growth traits. The results showed the following: In Qinchuan cattle, the copy number duplication type was greater than the deletion and normal types; in Xianan cattle, the copy number duplication and normal types were less as compared with the deletion type; and in Yunling cattle, the frequency of the duplication type was dominant among the three types of copy number variants. The correlation analysis result showed that there is a significant correlation between the copy number variation (CNV) of the MLLT10 gene and the growth traits of three cattle breeds. Furthermore, correlation analysis showed that MLLT10 CNV had positive effects on growth traits such as hip width, rump length, hucklebone width, and cannon bone circumference (p < 0.05). This study provides a basis for the molecular-assisted marker breeding of cattle and contributes to the breeding of cattle.
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Affiliation(s)
- Peng Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; (P.Y.); (J.X.); (C.L.); (H.C.)
| | - Zijing Zhang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou 45002, China; (Z.Z.); (S.L.); (E.W.)
| | - Jiawei Xu
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; (P.Y.); (J.X.); (C.L.); (H.C.)
| | - Kaixing Qu
- Yunnan Academy of Grassland Animal Science, Kunming 650212, China;
| | - Shijie Lyv
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou 45002, China; (Z.Z.); (S.L.); (E.W.)
| | - Xianwei Wang
- Henan Provincial Animal Husbandry General Station, Zhengzhou 450008, China; (X.W.); (Z.L.); (B.R.); (Z.X.)
| | - Cuicui Cai
- Guyuan Branch of Ningxia Academy of Agriculture and Forestry Sciences, Guyuan 756000, China; (C.C.); (J.X.)
| | - Zhiming Li
- Henan Provincial Animal Husbandry General Station, Zhengzhou 450008, China; (X.W.); (Z.L.); (B.R.); (Z.X.)
| | - Eryao Wang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou 45002, China; (Z.Z.); (S.L.); (E.W.)
| | - Jianliang Xie
- Guyuan Branch of Ningxia Academy of Agriculture and Forestry Sciences, Guyuan 756000, China; (C.C.); (J.X.)
| | - Baorui Ru
- Henan Provincial Animal Husbandry General Station, Zhengzhou 450008, China; (X.W.); (Z.L.); (B.R.); (Z.X.)
| | - Zejun Xu
- Henan Provincial Animal Husbandry General Station, Zhengzhou 450008, China; (X.W.); (Z.L.); (B.R.); (Z.X.)
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; (P.Y.); (J.X.); (C.L.); (H.C.)
| | - Hong Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; (P.Y.); (J.X.); (C.L.); (H.C.)
| | - Bizhi Huang
- Yunnan Academy of Grassland Animal Science, Kunming 650212, China;
- Correspondence: (B.H.); (Y.H.)
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China; (P.Y.); (J.X.); (C.L.); (H.C.)
- Correspondence: (B.H.); (Y.H.)
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16
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Himmelbauer J, Mészáros G, Sölkner J. Detection of Autosomal Hemizygous Regions in the Fleckvieh Population Based on SNP-chip Data and Parent Offspring Pairs. ACTA UNIVERSITATIS AGRICULTURAE ET SILVICULTURAE MENDELIANAE BRUNENSIS 2019. [DOI: 10.11118/actaun201967061447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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17
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He Y, Han B, Ding Y, Zhang H, Chang S, Zhang L, Zhao C, Yang N, Song J. Linc-GALMD1 Regulates Viral Gene Expression in the Chicken. Front Genet 2019; 10:1122. [PMID: 31798630 PMCID: PMC6868033 DOI: 10.3389/fgene.2019.01122] [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: 12/27/2018] [Accepted: 10/16/2019] [Indexed: 12/17/2022] Open
Abstract
A rapidly increasing number of reports on dysregulated long intergenic non-coding RNA (lincRNA) expression across numerous types of cancers indicates that aberrant lincRNA expression may be a major contributor to tumorigenesis. Marek’s disease (MD) is a T cell lymphoma of chickens induced by Marek’s disease virus (MDV). Although we have investigated the roles of lincRNAs in bursa tissue of MDV-infected chickens in previous studies, the molecular mechanisms of lincRNA functions in T cells remain poorly understood. In the present study, Linc-GALMD1 was identified from CD4+ T cells and MSB1 cells, and its expression was significantly downregulated in MD-resistant line of birds in response to MDV challenge. Furthermore, loss-of-function experiments indicated that linc-GALMD1 significantly affected the expression of 290 genes in trans. Through integrated analysis of differentially expressed genes (DEGs) induced by MDV and linc-GALMD1, we found that IGLL1 gene expression levels had a positive correlation with the degree of MD infection and could potentially serve as an indicator for clinical diagnosis of MD. Moreover, an interaction between MDV and linc-GALMD1 was also observed. Accordingly, chicken embryonic fibroblast cells were inoculated with MDV with and without the linc-GALMD1 knockdown, and the data showed that linc-GALMD1 could repress MDV gene expression during the course of MDV infection. These findings uncovered a role of linc-GALMD1 as a viral gene regulator and suggested a function of linc-GALMD1 contributing to tumor suppression by coordinating expression of MDV genes and tumor-related genes and regulating immune responses to MDV infection.
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Affiliation(s)
- Yanghua He
- Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
| | - Bo Han
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, United States.,National Engineering Laboratory for Animal Breeding, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yi Ding
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, United States
| | - Huanmin Zhang
- Avian Disease and Oncology Laboratory, Agricultural Research Service, USDA, East Lansing, MI, United States
| | - Shuang Chang
- Avian Disease and Oncology Laboratory, Agricultural Research Service, USDA, East Lansing, MI, United States.,College of Veterinary Medicine, Shandong Agricultural University, Tai'an, China
| | - Li Zhang
- Institute of Animal Science and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Chunfang Zhao
- National Engineering Laboratory for Animal Breeding, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jiuzhou Song
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, United States
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18
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Wang X, Cao X, Wen Y, Ma Y, Elnour IE, Huang Y, Lan X, Chaogetu B, Hu L, Chen H. Associations of ORMDL1 gene copy number variations with growth traits in four Chinese sheep breeds. Arch Anim Breed 2019; 62:571-578. [PMID: 31807669 PMCID: PMC6853131 DOI: 10.5194/aab-62-571-2019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 09/26/2019] [Indexed: 11/11/2022] Open
Abstract
Copy number variations (CNVs) are gains and losses of genomic sequence of more
than 50 bp between two individuals of a species. Also, CNV is considered to be one
of the main elements affecting the phenotypic diversity and evolutionary
adaptation of animals. ORMDL sphingolipid biosynthesis regulator 1
(ORMDL1) is a protein-coding gene associated with diseases and development. In our
study, the polymorphism of ORMDL1 gene copy numbers in four Chinese sheep breeds
(abbreviated CK, HU, STH, and LTH) was detected. In addition, we analyzed the
transcriptional expression level of ORMDL1 gene in different tissues of sheep and
examined the association of ORMDL1 CNV with growth traits. The statistical
analysis revealed that ORMDL1 CNV was remarkably correlated with body height,
heart girth, and circumference of cannon bone in HU sheep (P<0.05),
and there are significant effects on body weight, body height, body length,
chest depth, and height of hip cross in STH sheep (P<0.05). In
conclusion, our results provide a basis for the relationship between CNV of
ORMDL1 gene and sheep growth traits, suggesting that ORMDL1 CNV may be considered a promising marker for the molecular breeding of Chinese sheep.
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Affiliation(s)
- Xiaogang Wang
- Key laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xiukai Cao
- Key laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yifan Wen
- Key laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yilei Ma
- Key laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Ibrahim Elsaeid Elnour
- Key laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yongzhen Huang
- Key laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xianyong Lan
- Key laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Buren Chaogetu
- Animal Disease Control Center of Haixi Mongolian and Tibetan Autonomous Prefecture, Delingha, Qinghai 817000, China
| | - Linyong Hu
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, 810001, China
| | - Hong Chen
- Key laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
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19
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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: 10] [Impact Index Per Article: 2.0] [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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20
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Copy Number Variation of the SHE Gene in Sheep and Its Association with Economic Traits. Animals (Basel) 2019; 9:ani9080531. [PMID: 31390723 PMCID: PMC6720781 DOI: 10.3390/ani9080531] [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: 05/29/2019] [Revised: 07/27/2019] [Accepted: 07/31/2019] [Indexed: 01/22/2023] Open
Abstract
Simple Summary Src Homology 2 Domain Containing E (SHE) is a protein coding gene, and member of the SH2 domain-containing family. Sequencing revealed a 2000 bp copy number variation in the SHE gene. There is overlap between SHE copy number variation (CNV) and quantitative trait loci related to milk fat percentage and bone density. A total of 750 sheep, including Chaka sheep (CKS), Hu sheep (HS), Small Tail Han sheep (STHS) and Large Tail Han sheep (LTHS) were available to detect the CNV of the SHE gene and correlate these gene variations with economic traits. The results showed that there were more individuals with SHE copy number loss in CKS and HS than in STHS and LTHS. Association analysis showed that gain and normal copy number types performed better in body length (p < 0.05), circumference of cannon bone (p < 0.05), heart girth (p < 0.05), chest width (p < 0.05) and high at the cross (p < 0.05) in CKS, HS and STHS. Chi-square analyses found significant variation in the CNV of the SHE gene, so it varies greatly between varieties. These findings clarified the relationship between the CNV of the SHE gene and the economic traits in these four kinds of sheep, and provide a reference for sheep breeding. Abstract Copy number variation (CNV) caused by gene rearrangement is an important part of genomic structural variation. We found that the copy number variation region of the Src Homology 2 Domain Containing E (SHE) gene correlates with a quantitative trait locus of sheep related to milk fat percentage and bone density. The aim of our study was to detect the copy number variation of the SHE gene in four sheep breeds and to conduct a correlation analysis with economic traits, hoping to provide some reference for sheep breeding. In this study, we examined 750 sheep from four Chinese breeds: Chaka sheep (CKS), Hu sheep (HS), Large Tail Han sheep (LTHS) and Small Tail Han sheep (STHS). We used qPCR to evaluate the copy number of the SHE gene, and then used general linear models to analyze the associations between CNV and economic traits. The results showed that there were more individuals with SHE copy number loss in CKS and HS than in STHS and LTHS individuals. Association analyses showed that gain and normal copy number types were correlated to body length, circumference of cannon bone, heart girth, chest width and high at the cross in CKS, HS and STHS (p < 0.05), but this association was not observed for LTHS. Chi-square values (χ2) found prominent differences in CNV distribution among the studied breeds. Overall, the CNV of the SHE gene may be an important consideration for sheep molecular breeding.
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Goshu HA, Chu M, Xiaoyun W, Pengjia B, Zhi DX, Yan P. Genomic copy number variation of the CHKB gene alters gene expression and affects growth traits of Chinese domestic yak (Bos grunniens) breeds. Mol Genet Genomics 2019; 294:549-561. [DOI: 10.1007/s00438-018-01530-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 12/29/2018] [Indexed: 12/22/2022]
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22
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Huang T, Cheng S, Feng Y, Sheng Z, Gong Y. A copy number variation generated by complicated organization of PCDHA gene cluster is associated with egg performance traits in Xinhua E-strain. Poult Sci 2018; 97:3435-3445. [PMID: 30007306 DOI: 10.3382/ps/pey236] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 07/07/2018] [Indexed: 01/15/2023] Open
Abstract
In recent years, a mass of duplicated and deleted DNA sequences have been found in human and animal genomes following the prevalence of employing high-throughput sequencing and SNP array. However, few copy number variation (CNV) studies have been performed on egg performance traits of chicken. In this study, 17 loci reported in previous studies were selected for CNV detection in the Xinhua E-strain by using the CNVplex kit, and the detection results showed that locus14 exhibited CNV. Further association analysis indicated the copies of locus14 could be significantly associated with age at first egg (AFE; P < 0.0086) and egg number at 250 d (250EN; P < 0.036). DNA sequence amplification showed the loss of a 260-bp-long fragment in the upstream of locus14, which mainly occurred in normal or copy-gain individuals. The qPCR results showed that subjects with gain of copies could promote the total expression level of the PCDHA gene cluster in the pituitary gland of adult individuals. Additionally, PCR amplification with randomly combined primers revealed a larger number of chicken variable exons than that previously reported, indicating the complexity of the organization of the PCDHA gene cluster. Those variable exons are divergent in their distribution among the populations of Xinhua E-strain, Chahua, Tibetan, and Tulufan Game Chicken, and most individuals only possess part of variable exons. Overall, the copies of locus14 reflect the variable exon dosage effects on the total expression level of the PCDHA gene cluster, which may regulate the layer egg production by affecting the development of the neural system.
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Affiliation(s)
- Tao Huang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
| | - Shengqi Cheng
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
| | - Yanping Feng
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
| | - Zheya Sheng
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
| | - Yanzhang Gong
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei Province 430070, China
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23
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Integrating CNVs into meta-QTL identified GBP4 as positional candidate for adult cattle stature. Funct Integr Genomics 2018; 18:559-567. [PMID: 29737453 DOI: 10.1007/s10142-018-0613-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 04/21/2018] [Accepted: 04/24/2018] [Indexed: 02/03/2023]
Abstract
Copy number variation (CNV) of DNA sequences, functionally significant but yet fully ascertained, is believed to confer considerable increments in unexplained heritability of quantitative traits. Identification of phenotype-associated CNVs (paCNVs) therefore is a pressing need in CNV studies to speed up their exploitation in cattle breeding programs. Here, we provided a new avenue to achieve this goal that is to project the published CNV data onto meta-quantitative trait loci (meta-QTL) map which connects causal genes with phenotypes. Any CNVs overlapping meta-QTL therefore will be potential paCNVs. This study reported potential paCNVs in Bos taurus autosome 3 (BTA3). Notably, overview indexes and CNVs both highlighted a narrower region (BTA3 54,500,000-55,000,000 bp, named BTA3_INQTL_6) within one constructed meta-QTL. Then, we ascertained guanylate-binding protein 4 (GBP4) among the nine positional candidate genes was significantly associated with adult cattle stature, including body weight (BW, P < 0.05) and withers height (WHT, P < 0.05), fitting GBP4 CNV either with three levels or with six levels in the model. Although higher copy number downregulated the mRNA levels of GBP2 (P < 0.05) and GBP4 (P < 0.05) in 1-Mb window (54.0-55.0 Mb) in muscle and adipose, additional analyses will be needed to clarify the causality behind the ascertained association.
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24
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Bai H, Sun Y, Liu N, Liu Y, Xue F, Li Y, Xu S, Ni A, Ye J, Chen Y, Chen J. Genome-wide detection of CNVs associated with beak deformity in chickens using high-density 600K SNP arrays. Anim Genet 2018; 49:226-236. [PMID: 29642269 DOI: 10.1111/age.12652] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/07/2018] [Indexed: 11/30/2022]
Abstract
Beak deformity (crossed beaks) is found in several indigenous chicken breeds including Beijing-You studied here. Birds with deformed beaks have reduced feed intake and poor production performance. Recently, copy number variation (CNV) has been examined in many species and is recognized as a source of genetic variation, especially for disease phenotypes. In this study, to unravel the genetic mechanisms underlying beak deformity, we performed genome-wide CNV detection using Affymetrix chicken high-density 600K data on 48 deformed-beak and 48 normal birds using penncnv. As a result, two and eight CNV regions (CNVRs) covering 0.32 and 2.45 Mb respectively on autosomes were identified in deformed-beak and normal birds respectively. Further RT-qPCR studies validated nine of the 10 CNVRs. The ratios of six CNVRs were significantly different between deformed-beak and normal birds (P < 0.01). Within these six regions, three and 21 known genes were identified in deformed-beak and normal birds respectively. Bioinformatics analysis showed that these genes were enriched in six GO terms and one KEGG pathway. Five candidate genes in the CNVRs were further validated using RT-qPCR. The expression of LRIG2 (leucine rich repeats and immunoglobulin like domains 2) was lower in birds with deformed beaks (P < 0.01). Therefore, the LRIG2 gene could be considered a key factor in view of its known functions and its potential roles in beak deformity. Overall, our results will be helpful for future investigations of the genomic structural variations underlying beak deformity in chickens.
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Affiliation(s)
- H Bai
- Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Y Sun
- Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - N Liu
- Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Y Liu
- Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - F Xue
- Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Y Li
- Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - S Xu
- Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - A Ni
- Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - J Ye
- Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Y Chen
- Beijing General Station of Animal Husbandry Service, Beijing, 102200, China
| | - J Chen
- Key Laboratory of Animal Genetics Breeding and Reproduction (Poultry), Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
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Zhang GM, Zheng L, He H, Song CC, Zhang ZJ, Cao XK, Lei CZ, Lan XY, Qi XL, Chen H, Huang YZ. Associations of GBP2 gene copy number variations with growth traits and transcriptional expression in Chinese cattle. Gene 2018; 647:101-106. [PMID: 29325733 DOI: 10.1016/j.gene.2018.01.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Revised: 12/16/2017] [Accepted: 01/02/2018] [Indexed: 12/19/2022]
Abstract
Copy number variations (CNVs) recently have been recognized as another important genetic variability followed single nucleotide polymorphisms (SNPs). The guanylate binding protein 2 (GBP2) gene plays an important role in cell proliferation. This study was performed to determine the presence of GBP2 CNV (relative to Angus cattle) in 466 individuals representing six main cattle breeds from China, identify its relationship with growth, and explore the biological effects of gene expression. There were two CNV regions in the GBP2 gene, for three types, CNV1 loss type (relative to Angus cattle) was more frequent in XN than other breeds, and CNV2 loss type (relative to Angus cattle) was more frequent in XN and CDM than other breeds. Though the GBP2 gene copy number presented no correlation with the transcriptional expression of JX (P > .05), but the transcriptional expression in heart is higher than other tissues, and the copy number in muscles and fat of JX is higher than others breeds. Statistical analysis revealed that the GBP2 gene CNV1 and CNV2 were significantly associated with growth traits (P < .05). In conclusion, this research established the correlations between CNVs of GBP2 gene and growth traits in different cattle breeds, and our results suggested that the CNVs in GBP2 gene may be considered markers for the molecular breeding of Chinese beef cattle.
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Affiliation(s)
- Gui-Min Zhang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Li Zheng
- Henan University of Animal Husbandry and Economy, Zhengzhou, Henan 450046, PR China
| | - Hua He
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China; College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, PR China
| | - Cheng-Chuang Song
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Zi-Jing Zhang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002, PR China
| | - Xiu-Kai Cao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Chu-Zhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Xian-Yong Lan
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Xing-Lei Qi
- Bureau of Animal Husbandry of Biyang County, Biyang, Henan 463700, PR China
| | - Hong Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China
| | - Yong-Zhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China.
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26
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Antunes de Lemos MV, Berton MP, Ferreira de Camargo GM, Peripolli E, de Oliveira Silva RM, Ferreira Olivieri B, Cesar AS, Pereira ASC, de Albuquerque LG, de Oliveira HN, Tonhati H, Baldi F. Copy number variation regions in Nellore cattle: Evidences of environment adaptation. Livest Sci 2018. [DOI: 10.1016/j.livsci.2017.11.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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27
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Yang L, Xu L, Zhu B, Niu H, Zhang W, Miao J, Shi X, Zhang M, Chen Y, Zhang L, Gao X, Gao H, Li L, Liu GE, Li J. Genome-wide analysis reveals differential selection involved with copy number variation in diverse Chinese Cattle. Sci Rep 2017; 7:14299. [PMID: 29085051 PMCID: PMC5662686 DOI: 10.1038/s41598-017-14768-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 10/12/2017] [Indexed: 12/20/2022] Open
Abstract
Copy number variations (CNVs) are defined as deletions, insertions, and duplications between two individuals of a species. To investigate the diversity and population-genetic properties of CNVs and their diverse selection patterns, we performed a genome-wide CNV analysis using high density SNP array in Chinese native cattle. In this study, we detected a total of 13,225 CNV events and 3,356 CNV regions (CNVRs), overlapping with 1,522 annotated genes. Among them, approximately 71.43 Mb of novel CNVRs were detected in the Chinese cattle population for the first time, representing the unique genomic resources in cattle. A new V i statistic was proposed to estimate the region-specific divergence in CNVR for each group based on unbiased estimates of pairwise V ST . We obtained 12 and 62 candidate CNVRs at the top 1% and top 5% of genome-wide V i value thresholds for each of four groups (North, Northwest, Southwest and South). Moreover, we identified many lineage-differentiated CNV genes across four groups, which were associated with several important molecular functions and biological processes, including metabolic process, response to stimulus, immune system, and others. Our findings provide some insights into understanding lineage-differentiated CNVs under divergent selection in the Chinese native cattle.
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Affiliation(s)
- Liu Yang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Lingyang Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
| | - Bo Zhu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Hong Niu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Wengang Zhang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Jian Miao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.,College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
| | - Xinping Shi
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.,College of Animal Science and Technology, Agricultural University of Hebei, Baoding, Hebei, 071001, China
| | - Ming Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - Yan Chen
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Lupei Zhang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Xue Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Huijiang Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Li Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China
| | - George E Liu
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, Maryland, 20705, USA
| | - Junya Li
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
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Prunier J, Caron S, Lamothe M, Blais S, Bousquet J, Isabel N, MacKay J. Gene copy number variations in adaptive evolution: The genomic distribution of gene copy number variations revealed by genetic mapping and their adaptive role in an undomesticated species, white spruce (Picea glauca). Mol Ecol 2017; 26:5989-6001. [PMID: 28833771 DOI: 10.1111/mec.14337] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 07/26/2017] [Accepted: 08/05/2017] [Indexed: 01/09/2023]
Abstract
Gene copy number variation (CNV) has been associated with phenotypic variability in animals and plants, but a genomewide understanding of their impacts on phenotypes is largely restricted to human and agricultural systems. As such, CNVs have rarely been considered in investigations of the genomic architecture of adaptation in wild species. Here, we report on the genetic mapping of gene CNVs in white spruce, which lacks a contiguous assembly of its large genome (~20 Gb), and their relationships with adaptive phenotypic variation. We detected 3,911 gene CNVs including de novo structural variations using comparative genome hybridization on arrays (aCGH) in a large progeny set. We inferred the heterozygosity at CNV loci within parents by comparing haploid and diploid tissues and genetically mapped 82 gene CNVs. Our analysis showed that CNVs were distributed over 10 linkage groups and identified four CNV hotspots that we predict to occur in other species of the Pinaceae. Significant relationships were found between 29 of the gene CNVs and adaptive traits based on regression analyses with timings of bud set and bud flush, and height growth, suggesting a role for CNVs in climate adaptation. The importance of CNVs in adaptive evolution of white spruce was also indicated by functional gene annotations and the clustering of 31% of the mapped adaptive gene CNVs in CNV hotspots. Taken together, these results illustrate the feasibility of studying CNVs in undomesticated species and represent a major step towards a better understanding of the roles of CNVs in adaptive evolution.
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Affiliation(s)
- Julien Prunier
- Institute for System and Integrative Biology (IBIS), Université Laval, Québec, QC, Canada.,Centre for Forest Research, Université Laval, Québec, QC, Canada
| | - Sébastien Caron
- Institute for System and Integrative Biology (IBIS), Université Laval, Québec, QC, Canada.,Centre for Forest Research, Université Laval, Québec, QC, Canada
| | - Manuel Lamothe
- Laurentian Forest Centre, Canadian Forest Service, Natural Resources Canada, Quebec, QC, Canada.,Canada Research Chair in Forest Genomics, Université Laval, Quebec, QC, Canada
| | - Sylvie Blais
- Institute for System and Integrative Biology (IBIS), Université Laval, Québec, QC, Canada.,Centre for Forest Research, Université Laval, Québec, QC, Canada.,Canada Research Chair in Forest Genomics, Université Laval, Quebec, QC, Canada
| | - Jean Bousquet
- Institute for System and Integrative Biology (IBIS), Université Laval, Québec, QC, Canada.,Centre for Forest Research, Université Laval, Québec, QC, Canada.,Canada Research Chair in Forest Genomics, Université Laval, Quebec, QC, Canada
| | - Nathalie Isabel
- Laurentian Forest Centre, Canadian Forest Service, Natural Resources Canada, Quebec, QC, Canada.,Canada Research Chair in Forest Genomics, Université Laval, Quebec, QC, Canada
| | - John MacKay
- Centre for Forest Research, Université Laval, Québec, QC, Canada.,Canada Research Chair in Forest Genomics, Université Laval, Quebec, QC, Canada.,Department of Plant Sciences, University of Oxford, Oxford, UK
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Long intergenic non-coding RNA GALMD3 in chicken Marek's disease. Sci Rep 2017; 7:10294. [PMID: 28860661 PMCID: PMC5579197 DOI: 10.1038/s41598-017-10900-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 08/16/2017] [Indexed: 12/18/2022] Open
Abstract
Long intergenic non-coding RNAs (lincRNAs) are transcribed from non-coding DNA sequences. Studies have revealed that aberrant expressions of lincRNAs are associated with various types of cancers and neurological disorders. Marek's disease (MD) is a highly contagious T-cell lymphoid neoplasia of chicken induced by Marek's disease virus (MDV). In this study, we first identified and validated linc-GALMD3 highly expressed in MDV-infected CD4+ T cells by RNA-Seq and qRT-PCR. By RNA-Seq analysis in MDCC-MSB1 cells after loss of function of linc-GALMD3 by shRNA, we found that linc-GALMD3 could positively cis-regulate its downstream gga-miR-223 gene expression. In contrast, it could trans-regulate the 748 differentially expressed genes (FDR < 0.01) that were mainly enriched into mitochondrial structure and cell cycle processes using GO analysis. Of these, the most significantly expressed gene EPYC might cause iris lesion in MD. The other eight genes, NDUFA4, NDUFB6, NDUFV1, NDUFS8, SDHB, UQCRC1, UQCRC2, and COX7A2, actively participated in oxidative phosphorylation in mitochondrial dysfunction and cell death. Most importantly, we found that the MDV replication was repressed when linc-GALMD3 was knocked down in CEF cells. Our results suggested that linc-GALMD3 might be a critical regulator in chicken MD and could be used as a candidate-promising mark for MD prevention, diagnosis, and treatment.
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Gorla E, Cozzi MC, Román-Ponce SI, Ruiz López FJ, Vega-Murillo VE, Cerolini S, Bagnato A, Strillacci MG. Genomic variability in Mexican chicken population using copy number variants. BMC Genet 2017; 18:61. [PMID: 28673234 PMCID: PMC5496433 DOI: 10.1186/s12863-017-0524-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 06/12/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Copy number variations are genome polymorphism that influence phenotypic variation and are an important source of genetic variation in populations. The aim of this study was to investigate genetic variability in the Mexican Creole chicken population using CNVs. RESULTS The Hidden Markov Model of the PennCNV software detected a total of 1924 CNVs in the genome of the 256 samples processed with Axiom® Genome-Wide Chicken Genotyping Array (Affymetrix). The mapped CNVs comprised 1538 gains and 386 losses, resulting at population level in 1216 CNV regions (CNVRs), of which 959 gains, 226 losses and 31 complex (i.e. containing both losses and gains). The CNVRs covered a total of 47 Mb of the whole genome sequence length, corresponding to 5.12% of the chicken galGal4 autosome assembly. CONCLUSIONS This study allowed a deep insight into the structural variation in the genome of unselected Mexican chicken population, which up to now has not been genetically characterized. The genomic study disclosed that the population, even if presenting extreme morphological variation, cannot be organized in differentiated genetic subpopulations. Finally this study provides a chicken CNV map based on the 600 K SNP chip array jointly with a genome-wide gene copy number estimates in a native unselected for more than 500 years chicken population.
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Affiliation(s)
- E. Gorla
- Department of Veterinary Medicine, Universitá degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
| | - M. C. Cozzi
- Department of Veterinary Medicine, Universitá degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
| | - S. I. Román-Ponce
- Centro Nacional de Investigación en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales, Agricola y Pecuarias (INIFAP), Km.1 Carretera a Colón, Auchitlán, 76280 Querétaro, CP Mexico
| | - F. J. Ruiz López
- Centro Nacional de Investigación en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales, Agricola y Pecuarias (INIFAP), Km.1 Carretera a Colón, Auchitlán, 76280 Querétaro, CP Mexico
| | - V. E. Vega-Murillo
- Centro Nacional de Investigación en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales, Agricola y Pecuarias (INIFAP), Melchor Ocampo # 234 Desp. 313, Col. Centro Veracruz, C.P. 91700 Veracruz, Mexico
| | - S. Cerolini
- Department of Veterinary Medicine, Universitá degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
| | - A. Bagnato
- Department of Veterinary Medicine, Universitá degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
| | - M. G. Strillacci
- Department of Veterinary Medicine, Universitá degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
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31
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Association study and expression analysis of CYP4A11 gene copy number variation in Chinese cattle. Sci Rep 2017; 7:46599. [PMID: 28492277 PMCID: PMC5425913 DOI: 10.1038/srep46599] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 03/22/2017] [Indexed: 11/09/2022] Open
Abstract
The identification of copy number variations (CNVs) allow us to explore genomic polymorphisms. In recent years, significant progress in understanding CNVs has been made in studies of human and animals, however, association and expression studies of CNVs are still in the early stage. It was previously reported that the Cytochrome P-450 4A11 (CYP4A11) gene is located within a copy number variable region (CNVR) that encompasses quantitative trait loci (QTLs) for economic traits like meat quality and milk production. So, this study was performed to determine the presence of CYP4A11 CNV in six distinct cattle breeds, identify its relationship with growth, and explore the biological effects of gene expression. For three CYP4A11 CNV types, Normal was more frequent than Gain or Loss. Association analysis revealed a positive effect of CYP4A11 copy number on growth traits (P < 0.05). One-way analysis of variance (ANOVA) analysis revealed that more CYP4A11 copies increased the gene expression level. Moreover, overexpression of CYP4A11 in vitro revealed its effect on lipid deposit. The data provide evidence for the functional role of CYP4A11 CNV and provide the basis for future applications in cattle breeding.
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Characterization of Copy Number Variation's Potential Role in Marek's Disease. Int J Mol Sci 2017; 18:ijms18051020. [PMID: 28486430 PMCID: PMC5454933 DOI: 10.3390/ijms18051020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 04/22/2017] [Accepted: 05/04/2017] [Indexed: 02/07/2023] Open
Abstract
Marek’s Disease (MD) is a highly contagious pathogenic and oncogenic disease primarily affecting chickens. Chicken Lines 63 and 72, as well as their recombinant congenic strains (RCS) with varied susceptibility to MD, are ideal models to study the complex mechanisms of genetic resistance to MD. In this study, we investigated copy number variation (CNV) in these inbred chicken lines using the Affymetrix Axiom HD 600 K SNP genotyping array. We detected 393 CNV segments across all ten chicken lines, of which 12 CNVs were specifically identified in Line 72. We then assessed genetic structure based on CNV and observed markedly different patterns. Finally, we validated two deletion events in Line 72 and correlated them with genes expression using qPCR and RNA-seq, respectively. Our combined results indicated that these two CNV deletions were likely to contribute to MD susceptibility.
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Chen L, Chamberlain AJ, Reich CM, Daetwyler HD, Hayes BJ. Detection and validation of structural variations in bovine whole-genome sequence data. Genet Sel Evol 2017; 49:13. [PMID: 28122487 PMCID: PMC5267451 DOI: 10.1186/s12711-017-0286-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 01/09/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Several examples of structural variation (SV) affecting phenotypic traits have been reported in cattle. Currently the identification of SV from whole-genome sequence data (WGS) suffers from a high false positive rate. Our aim was to construct a high quality set of SV calls in cattle using WGS data. First, we tested two SV detection programs, Breakdancer and Pindel, and the overlap of these methods, on simulated sequence data to determine their precision and sensitivity. We then identified population SV from WGS of 252 Holstein and 64 Jersey bulls based on the overlapping calls from the two programs. In addition, we validated an overlapped SV set in 28 twice-sequenced Holstein individuals, and in another two validated sets (one for each breed) that were transmitted from sire to son. We also tested whether highly conserved gene sets across eukaryotes and recently expanded gene families in bovine were depleted and enriched, respectively, for SV. RESULTS In empirical WGS data, 17,518 SV covering 27.36 Mb were found in the Holstein population and 4285 SV covering 8.74 Mb in the Jersey population, of which 4.62 Mb of SV overlapped between Holsteins and Jerseys. A total of 11,534 candidate SV covering 5.64 Mb were validated in the 28 twice-sequenced individuals, while 3.49 and 0.67 Mb of SV were validated from Holstein and Jersey sire-son transmission, respectively. Only eight of 237 core eukaryotic genes had at least a 50-bp overlap with an SV from our validated sets, suggesting that conserved genes are depleted for SV (p < 0.05). In addition, we observed that recently expanded gene families were significantly more associated with SV than other genes. Long interspersed nuclear elements-1 were enriched for deletions when compared to the rest of the genome (p = 0.0035). CONCLUSIONS We reported SV from 252 Holstein and 64 Jersey individuals. A considerable proportion of Jersey population SV (53.5%) were also found in Holstein. In contrast, about 76.90% sire-son transmission validated SV were present in Jerseys and Holsteins. The enrichment of SV in expanding gene families suggests that SV can be a source of genetic variation for evolution.
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Affiliation(s)
- Long Chen
- AgriBio, Centre for AgriBioscience, Biosciences Research, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, Australia. .,School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia.
| | - Amanda J Chamberlain
- AgriBio, Centre for AgriBioscience, Biosciences Research, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, Australia
| | - Coralie M Reich
- AgriBio, Centre for AgriBioscience, Biosciences Research, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, Australia
| | - Hans D Daetwyler
- AgriBio, Centre for AgriBioscience, Biosciences Research, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, Australia.,School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
| | - Ben J Hayes
- AgriBio, Centre for AgriBioscience, Biosciences Research, Department of Economic Development, Jobs, Transport and Resources, Bundoora, VIC, Australia.,School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
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Duplication of chicken defensin7 gene generated by gene conversion and homologous recombination. Proc Natl Acad Sci U S A 2016; 113:13815-13820. [PMID: 27849592 DOI: 10.1073/pnas.1616948113] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Defensins constitute an evolutionary conserved family of cationic antimicrobial peptides that play a key role in host innate immune responses to infection. Defensin genes generally reside in complex genomic regions that are prone to structural variation, and defensin genes exhibit extensive copy number variation in humans and in other species. Copy number variation of defensin genes was examined in inbred lines of Leghorn and Fayoumi chickens, and a duplication of defensin7 was discovered in the Fayoumi breed. Analysis of junction sequences confirmed the occurrence of a simple tandem duplication of defensin7 with sequence identity at the junction, suggesting nonallelic homologous recombination between defensin7 and defensin6 The duplication event generated two chimeric promoters that are best explained by gene conversion followed by homologous recombination. Expression of defensin7 was not elevated in animals with two genes despite both genes being transcribed in the tissues examined. Computational prediction of promoter regions revealed the presence of several putative transcription factor binding sites generated by the duplication event. These data provide insight into the evolution and possible function of large gene families and specifically, the defensins.
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Jin S, Zhu F, Wang Y, Yi G, Li J, Lian L, Zheng J, Xu G, Jiao R, Gong Y, Hou Z, Yang N. Deletion of Indian hedgehog gene causes dominant semi-lethal Creeper trait in chicken. Sci Rep 2016; 6:30172. [PMID: 27439785 PMCID: PMC4954956 DOI: 10.1038/srep30172] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 06/28/2016] [Indexed: 11/30/2022] Open
Abstract
The Creeper trait, a classical monogenic phenotype of chicken, is controlled by a dominant semi-lethal gene. This trait has been widely cited in the genetics and molecular biology textbooks for illustrating autosomal dominant semi-lethal inheritance over decades. However, the genetic basis of the Creeper trait remains unknown. Here we have utilized ultra-deep sequencing and extensive analysis for targeting causative mutation controlling the Creeper trait. Our results indicated that the deletion of Indian hedgehog (IHH) gene was only found in the whole-genome sequencing data of lethal embryos and Creeper chickens. Large scale segregation analysis demonstrated that the deletion of IHH was fully linked with early embryonic death and the Creeper trait. Expression analysis showed a much lower expression of IHH in Creeper than wild-type chickens. We therefore suggest the deletion of IHH to be the causative mutation for the Creeper trait in chicken. Our findings unravel the genetic basis of the longstanding Creeper phenotype mystery in chicken as the same gene also underlies bone dysplasia in human and mouse, and thus highlight the significance of IHH in animal development and human haploinsufficiency disorders.
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Affiliation(s)
- Sihua Jin
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Feng Zhu
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Yanyun Wang
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Guoqiang Yi
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Junying Li
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Ling Lian
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Jiangxia Zheng
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Guiyun Xu
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Rengang Jiao
- Rural Energy Management Station of Guizhou Province, Guiyang, 550001, China
| | - Yu Gong
- Livestock Genetic Resources Management Station of Guizhou Province, Guiyang, 550001, China
| | - Zhuocheng Hou
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China Agricultural University, Beijing 100193, China
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, China Agricultural University, Beijing 100193, China
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36
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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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37
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da Silva JM, Giachetto PF, da Silva LO, Cintra LC, Paiva SR, Yamagishi MEB, Caetano AR. Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits. BMC Genomics 2016; 17:454. [PMID: 27297173 PMCID: PMC4907077 DOI: 10.1186/s12864-016-2752-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2016] [Accepted: 05/19/2016] [Indexed: 11/10/2022] Open
Abstract
Background Copy number variations (CNVs) have been shown to account for substantial portions of observed genomic variation and have been associated with qualitative and quantitative traits and the onset of disease in a number of species. Information from high-resolution studies to detect, characterize and estimate population-specific variant frequencies will facilitate the incorporation of CNVs in genomic studies to identify genes affecting traits of importance. Results Genome-wide CNVs were detected in high-density single nucleotide polymorphism (SNP) genotyping data from 1,717 Nelore (Bos indicus) cattle, and in NGS data from eight key ancestral bulls. A total of 68,007 and 12,786 distinct CNVs were observed, respectively. Cross-comparisons of results obtained for the eight resequenced animals revealed that 92 % of the CNVs were observed in both datasets, while 62 % of all detected CNVs were observed to overlap with previously validated cattle copy number variant regions (CNVRs). Observed CNVs were used for obtaining breed-specific CNV frequencies and identification of CNVRs, which were subsequently used for gene annotation. A total of 688 of the detected CNVRs were observed to overlap with 286 non-redundant QTLs associated with important production traits in cattle. All of 34 CNVs previously reported to be associated with milk production traits in Holsteins were also observed in Nelore cattle. Comparisons of estimated frequencies of these CNVs in the two breeds revealed 14, 13, 6 and 14 regions in high (>20 %), low (<20 %) and divergent (NEL > HOL, NEL < HOL) frequencies, respectively. Conclusions Obtained results significantly enriched the bovine CNV map and enabled the identification of variants that are potentially associated with traits under selection in Nelore cattle, particularly in genome regions harboring QTLs affecting production traits. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-2752-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Joaquim Manoel da Silva
- Faculdade de Ciências Agrárias, Biológicas e Sociais Aplicadas, Universidade do Estado de Mato Grosso (UNEMAT), Av. Prof Dr. Renato Figueiro Varella, CEP 78.690-000, Nova Xavantina, Mato Grosso, Brazil.,Programa de Pós-Graduação em Genética e Biologia Molecular-Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Poliana Fernanda Giachetto
- Embrapa Informática Agropecuária - Laboratório Multiusuário de Bioinformática (LMB), Campinas, São Paulo, Brazil
| | | | - Leandro Carrijo Cintra
- Embrapa Informática Agropecuária - Laboratório Multiusuário de Bioinformática (LMB), Campinas, São Paulo, Brazil
| | - Samuel Rezende Paiva
- Embrapa - Secretaria de Relações Internacionais, Brasília, Distrito Federal, Brazil.,Embrapa Recursos Genéticos e Biotecnologia, Brasília, Distrito Federal, Brazil.,CNPq Fellow, ᅟ, ᅟ
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Rao YS, Li J, Zhang R, Lin XR, Xu JG, Xie L, Xu ZQ, Wang L, Gan JK, Xie XJ, He J, Zhang XQ. Copy number variation identification and analysis of the chicken genome using a 60K SNP BeadChip. Poult Sci 2016; 95:1750-6. [PMID: 27118864 DOI: 10.3382/ps/pew136] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/16/2016] [Indexed: 12/24/2022] Open
Abstract
Copy number variation (CNV) is an important source of genetic variation in organisms and a main factor that affects phenotypic variation. A comprehensive study of chicken CNV can provide valuable information on genetic diversity and facilitate future analyses of associations between CNV and economically important traits in chickens. In the present study, an F2 full-sib chicken population (554 individuals), established from a cross between Xinghua and White Recessive Rock chickens, was used to explore CNV in the chicken genome. Genotyping was performed using a chicken 60K SNP BeadChip. A total of 1,875 CNV were detected with the PennCNV algorithm, and the average number of CNV was 3.42 per individual. The CNV were distributed across 383 independent CNV regions (CNVR) and covered 41 megabases (3.97%) of the chicken genome. Seven CNVR in 108 individuals were validated by quantitative real-time PCR, and 81 of these individuals (75%) also were detected with the PennCNV algorithm. In total, 274 CNVR (71.54%) identified in the current study were previously reported. Of these, 147 (38.38%) were reported in at least 2 studies. Additionally, 109 of the CNVR (28.46%) discovered here are novel. A total of 709 genes within or overlapping with the CNVR was retrieved. Out of the 2,742 quantitative trait loci (QTL) collected in the chicken QTL database, 43 QTL had confidence intervals overlapping with the CNVR, and 32 CNVR encompassed one or more functional genes. The functional genes located in the CNVR are likely to be the QTG that are associated with underlying economic traits. This study considerably expands our insight into the structural variation in the genome of chickens and provides an important resource for genomic variation, especially for genomic structural variation related to economic traits in chickens.
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Affiliation(s)
- Y S Rao
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Biological Technology, Nanchang Normal University, Nanchang 330029, Jiangxi, China
| | - J Li
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
| | - R Zhang
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
| | - X R Lin
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
| | - J G Xu
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China Department of Biological Technology, Nanchang Normal University, Nanchang 330029, Jiangxi, China
| | - L Xie
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China
| | - Z Q Xu
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
| | - L Wang
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
| | - J K Gan
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
| | - X J Xie
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
| | - J He
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
| | - X Q Zhang
- Guangdong Provincial Key Laboratory of Agro-animal Genomics and Molecular Breeding, Guangzhou 510642, Guangdong, China Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
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Reed KM, Mendoza KM, Settlage RE. Targeted capture enrichment and sequencing identifies extensive nucleotide variation in the turkey MHC-B. Immunogenetics 2016; 68:219-29. [DOI: 10.1007/s00251-015-0893-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Accepted: 12/16/2015] [Indexed: 02/08/2023]
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40
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Shi T, Xu Y, Yang M, Huang Y, Lan X, Lei C, Qi X, Yang X, Chen H. Copy number variations atLEPRgene locus associated with gene expression and phenotypic traits in Chinese cattle. Anim Sci J 2015; 87:336-43. [DOI: 10.1111/asj.12531] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2015] [Revised: 07/11/2015] [Accepted: 07/29/2015] [Indexed: 11/30/2022]
Affiliation(s)
- Tao Shi
- College of Animal Science and Technology, Shaanxi Key Laboratory of Molecular Biology for Agriculture; Northwest A&F University; Yangling China
| | - Yao Xu
- College of Animal Science and Technology, Shaanxi Key Laboratory of Molecular Biology for Agriculture; Northwest A&F University; Yangling China
| | - Mingjuan Yang
- College of Animal Science and Technology, Shaanxi Key Laboratory of Molecular Biology for Agriculture; Northwest A&F University; Yangling China
| | - Yongzhen Huang
- College of Animal Science and Technology, Shaanxi Key Laboratory of Molecular Biology for Agriculture; Northwest A&F University; Yangling China
| | - Xianyong Lan
- College of Animal Science and Technology, Shaanxi Key Laboratory of Molecular Biology for Agriculture; Northwest A&F University; Yangling China
| | - Chuzhao Lei
- College of Animal Science and Technology, Shaanxi Key Laboratory of Molecular Biology for Agriculture; Northwest A&F University; Yangling China
| | - Xinglei Qi
- Biyang Bureau of Animal Husbandry of Biyang County; Biyang Henan China
| | - Xiaoming Yang
- Institute of Animal Husbandry and Veterinary; Shanxi Academy of Agricultural Sciences; Taiyuan Shanxi China
| | - Hong Chen
- College of Animal Science and Technology, Shaanxi Key Laboratory of Molecular Biology for Agriculture; Northwest A&F University; Yangling China
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Yan Y, Yang N, Cheng HH, Song J, Qu L. Genome-wide identification of copy number variations between two chicken lines that differ in genetic resistance to Marek's disease. BMC Genomics 2015; 16:843. [PMID: 26492869 PMCID: PMC4619206 DOI: 10.1186/s12864-015-2080-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 10/13/2015] [Indexed: 11/10/2022] Open
Abstract
Background Copy number variation (CNV) is a major source of genome polymorphism that directly contributes to phenotypic variation such as resistance to infectious diseases. Lines 63 and 72 are two highly inbred experimental chicken lines that differ greatly in susceptibility to Marek’s disease (MD), and have been used extensively in efforts to identify the genetic and molecular basis for genetic resistance to MD. Using next generation sequencing, we present a genome-wide assessment of CNVs that are potentially associated with genetic resistance to MD. Methods Three chickens randomly selected from each line were sequenced to an average depth of 20×. Two popular software, CNVnator and Pindel, were used to call genomic CNVs separately. The results were combined to obtain a union set of genomic CNVs in the two chicken lines. Results A total of 5,680 CNV regions (CNVRs) were identified after merging the two datasets, of which 1,546 and 1,866 were specific to the MD resistant or susceptible line, respectively. Over half of the line-specific CNVRs were shared by 2 or more chickens, reflecting the reduced diversity in both inbred lines. The CNVRs fixed in the susceptible lines were significantly enriched in genes involved in MAPK signaling pathway. We also found 67 CNVRs overlapping with 62 genes previously shown to be strong candidates of the underlying genes responsible for the susceptibility to MD. Conclusions Our findings provide new insights into the genetic architecture of the two chicken lines and additional evidence that MAPK signaling pathway may play an important role in host response to MD virus infection. The rich source of line-specific CNVs is valuable for future disease-related association studies in the two chicken lines. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-2080-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yiyuan Yan
- Department of Animal Genetics and Breeding, College of Animal Science, China Agricultural University, Beijing, 100193, China.
| | - Ning Yang
- Department of Animal Genetics and Breeding, College of Animal Science, China Agricultural University, Beijing, 100193, China.
| | - Hans H Cheng
- USDA, ARS, Avian Disease and Oncology Laboratory, East Lansing, MI, 48823, USA.
| | - Jiuzhou Song
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, 20742, USA.
| | - Lujiang Qu
- Department of Animal Genetics and Breeding, College of Animal Science, China Agricultural University, Beijing, 100193, China.
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Schmid M, Smith J, Burt DW, Aken BL, Antin PB, Archibald AL, Ashwell C, Blackshear PJ, Boschiero C, Brown CT, Burgess SC, Cheng HH, Chow W, Coble DJ, Cooksey A, Crooijmans RPMA, Damas J, Davis RVN, de Koning DJ, Delany ME, Derrien T, Desta TT, Dunn IC, Dunn M, Ellegren H, Eöry L, Erb I, Farré M, Fasold M, Fleming D, Flicek P, Fowler KE, Frésard L, Froman DP, Garceau V, Gardner PP, Gheyas AA, Griffin DK, Groenen MAM, Haaf T, Hanotte O, Hart A, Häsler J, Hedges SB, Hertel J, Howe K, Hubbard A, Hume DA, Kaiser P, Kedra D, Kemp SJ, Klopp C, Kniel KE, Kuo R, Lagarrigue S, Lamont SJ, Larkin DM, Lawal RA, Markland SM, McCarthy F, McCormack HA, McPherson MC, Motegi A, Muljo SA, Münsterberg A, Nag R, Nanda I, Neuberger M, Nitsche A, Notredame C, Noyes H, O'Connor R, O'Hare EA, Oler AJ, Ommeh SC, Pais H, Persia M, Pitel F, Preeyanon L, Prieto Barja P, Pritchett EM, Rhoads DD, Robinson CM, Romanov MN, Rothschild M, Roux PF, Schmidt CJ, Schneider AS, Schwartz MG, Searle SM, Skinner MA, Smith CA, Stadler PF, Steeves TE, Steinlein C, Sun L, Takata M, Ulitsky I, Wang Q, Wang Y, Warren WC, Wood JMD, Wragg D, Zhou H. Third Report on Chicken Genes and Chromosomes 2015. Cytogenet Genome Res 2015; 145:78-179. [PMID: 26282327 PMCID: PMC5120589 DOI: 10.1159/000430927] [Citation(s) in RCA: 65] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- Michael Schmid
- Department of Human Genetics, University of Würzburg, Würzburg, Germany
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Genome-wide analysis of copy number variations in Chinese sheep using array comparative genomic hybridization. Small Rumin Res 2015. [DOI: 10.1016/j.smallrumres.2015.04.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Yi G, Qu L, Chen S, Xu G, Yang N. Genome-wide copy number profiling using high-density SNP array in chickens. Anim Genet 2015; 46:148-57. [PMID: 25662183 DOI: 10.1111/age.12267] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/03/2014] [Indexed: 01/04/2023]
Abstract
Phenotypic diversity is a direct consequence resulting mainly from the impact of underlying genetic variation, and recent studies have shown that copy number variation (CNV) is emerging as an important contributor to both phenotypic variability and disease susceptibility. Herein, we performed a genome-wide CNV scan in 96 chickens from 12 diversified breeds, benefiting from the high-density Affymetrix 600 K SNP arrays. We identified a total of 231 autosomal CNV regions (CNVRs) encompassing 5.41 Mb of the chicken genome and corresponding to 0.59% of the autosomal sequence. The length of these CNVRs ranged from 2.6 to 586.2 kb with an average of 23.4 kb, including 130 gain, 93 loss and eight both gain and loss events. These CNVRs, especially deletions, had lower GC content and were located particularly in gene deserts. In particular, 102 CNVRs harbored 128 chicken genes, most of which were enriched in immune responses. We obtained 221 autosomal CNVRs after converting probe coordinates to Galgal3, and comparative analysis with previous studies illustrated that 153 of these CNVRs were regarded as novel events. Furthermore, qPCR assays were designed for 11 novel CNVRs, and eight (72.73%) were validated successfully. In this study, we demonstrated that the high-density 600 K SNP array can capture CNVs with higher efficiency and accuracy and highlighted the necessity of integrating multiple technologies and algorithms. Our findings provide a pioneering exploration of chicken CNVs based on a high-density SNP array, which contributes to a more comprehensive understanding of genetic variation in the chicken genome and is beneficial to unearthing potential CNVs underlying important traits of chickens.
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Affiliation(s)
- G Yi
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
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Kwak W, Song KD, Oh JD, Heo KN, Lee JH, Lee WK, Yoon SH, Kim H, Cho S, Lee HK. Uncovering genomic features and maternal origin of korean native chicken by whole genome sequencing. PLoS One 2014; 9:e114763. [PMID: 25501044 PMCID: PMC4263466 DOI: 10.1371/journal.pone.0114763] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2014] [Accepted: 11/13/2014] [Indexed: 11/18/2022] Open
Abstract
The Korean Native Chicken (KNC) is an important endemic biological resource in Korea. While numerous studies have been conducted exploring this breed, none have used next-generation sequencing to identify its specific genomic features. We sequenced five strains of KNC and identified 10.9 million SNVs and 1.3 million InDels. Through the analysis, we found that the highly variable region common to all 5 strains had genes like PCHD15, CISD1, PIK3C2A, and NUCB2 that might be related to the phenotypic traits of the chicken such as auditory sense, growth rate and egg traits. In addition, we assembled unaligned reads that could not be mapped to the reference genome. By assembling the unaligned reads, we were able to present genomic sequences characteristic to the KNC. Based on this, we also identified genes related to the olfactory receptors and antigen that are common to all 5 strains. Finally, through the reconstructed mitochondrial genome sequences, we performed phylogenomic analysis and elucidated the maternal origin of the artificially restored KNC. Our results revealed that the KNC has multiple maternal origins which are in agreement with Korea's history of chicken breed imports. The results presented here provide a valuable basis for future research on genomic features of KNC and further understanding of KNC's origin.
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Affiliation(s)
- Woori Kwak
- C & K genomics, Seoul, Republic of Korea
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Ki-Duk Song
- Genomic Informatics Center, Hankyong National University, Anseong, Republic of Korea
| | - Jae-Don Oh
- Genomic Informatics Center, Hankyong National University, Anseong, Republic of Korea
| | - Kang-Nyeong Heo
- Poultry Science Division, National Institute of Animal Science, Cheonan, Republic of Korea
| | - Jun-Heon Lee
- Department of Animal Science and Biotechnology, Chungnam National University, Daejeon, Republic of Korea
| | - Woon Kyu Lee
- Inha Research Institute for Medical Sciences, Inha University School of Medicine, Inchon, Republic of Korea
| | - Sook Hee Yoon
- Department of Agricultural Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Heebal Kim
- Department of Agricultural Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Seoae Cho
- C & K genomics, Seoul, Republic of Korea
| | - Hak-Kyo Lee
- Genomic Informatics Center, Hankyong National University, Anseong, Republic of Korea
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Global patterns of apparent copy number variation in birds revealed by cross-species comparative genomic hybridization. Chromosome Res 2014; 22:59-70. [PMID: 24570127 DOI: 10.1007/s10577-014-9405-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
There is a growing interest in copy number variation (CNV) and the recognition of its importance in phenotype, disease, adaptation and speciation. CNV data is usually ascertained by array-CGH within-species, but similar inter-species comparisons have also been made in primates, mice and domestic mammals. Here, we conducted a broad appraisal of putative cross-species CNVs in birds, 16 species in all, using the standard array-CGH approach. Using a chicken oligonucleotide microarray, we detected 790 apparent CNVs within 135 unique regions and developed a bioinformatic tool 'CNV Analyser' for analysing and visualising cross-species data sets. We successfully addressed four hypotheses as follows: (a) Cross-species CNVs (compared to chicken) are, as suggested from preliminary evidence, smaller and fewer in number than in mammals; this 'dogma' was rejected in the light of the new evidence. (b) CNVs in birds are likely to have a functional effect through an association with genes; a large proportion of detected regions (70 %) were indeed associated with genes (suggesting functional significance), however, not necessarily more so than in mammals. (c) There are more CNVs in birds with more rearranged karyotypes; this hypothesis was rejected. Indeed, Falco species contained fewer than most with relatively standard (chicken-like) karyotypes. (d) There are more CNVs per megabase on micro-chromosomes than macrochromosomes; this hypothesis was accepted. Indeed, in species with rearranged karyotypes characterised by chromosomal fusions, the fused former microchromosomes still 'behaved' as though they were their microchromosomal ancestors. Gene ontology analysis of CNVRs revealed enrichment in immune response and antigen presentation genes and five CNVRs were perfectly correlated with the unique loss of sexual dichromatism in one Galliformes species.
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Yi G, Qu L, Liu J, Yan Y, Xu G, Yang N. Genome-wide patterns of copy number variation in the diversified chicken genomes using next-generation sequencing. BMC Genomics 2014; 15:962. [PMID: 25378104 PMCID: PMC4239369 DOI: 10.1186/1471-2164-15-962] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Accepted: 10/13/2014] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Copy number variation (CNV) is important and widespread in the genome, and is a major cause of disease and phenotypic diversity. Herein, we performed a genome-wide CNV analysis in 12 diversified chicken genomes based on whole genome sequencing. RESULTS A total of 8,840 CNV regions (CNVRs) covering 98.2 Mb and representing 9.4% of the chicken genome were identified, ranging in size from 1.1 to 268.8 kb with an average of 11.1 kb. Sequencing-based predictions were confirmed at a high validation rate by two independent approaches, including array comparative genomic hybridization (aCGH) and quantitative PCR (qPCR). The Pearson's correlation coefficients between sequencing and aCGH results ranged from 0.435 to 0.755, and qPCR experiments revealed a positive validation rate of 91.71% and a false negative rate of 22.43%. In total, 2,214 (25.0%) predicted CNVRs span 2,216 (36.4%) RefSeq genes associated with specific biological functions. Besides two previously reported copy number variable genes EDN3 and PRLR, we also found some promising genes with potential in phenotypic variation. Two genes, FZD6 and LIMS1, related to disease susceptibility/resistance are covered by CNVRs. The highly duplicated SOCS2 may lead to higher bone mineral density. Entire or partial duplication of some genes like POPDC3 may have great economic importance in poultry breeding. CONCLUSIONS Our results based on extensive genetic diversity provide a more refined chicken CNV map and genome-wide gene copy number estimates, and warrant future CNV association studies for important traits in chickens.
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Affiliation(s)
| | | | | | | | | | - Ning Yang
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
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Han R, Yang P, Tian Y, Wang D, Zhang Z, Wang L, Li Z, Jiang R, Kang X. Identification and functional characterization of copy number variations in diverse chicken breeds. BMC Genomics 2014; 15:934. [PMID: 25344733 PMCID: PMC4226851 DOI: 10.1186/1471-2164-15-934] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2014] [Accepted: 10/16/2014] [Indexed: 11/23/2022] Open
Abstract
Background The detection and functional characterization of genomic structural variations are important for understanding the landscape of genetic variation in the chicken. A recently recognized aspect of genomic structural variation, called copy number variation (CNV), is gaining interest in chicken genomic studies. The aim of the present study was to investigate the pattern and functional characterization of CNVs in five characteristic chicken breeds, which will be important for future studies associating phenotype with chicken genome architecture. Results Using a commercial 385 K array-based comparative genomic hybridization (aCGH) genome array, we performed CNV discovery using 10 chicken samples from four local Chinese breeds and the French breed Houdan chicken. The female Anka broiler was used as a reference. A total of 281 copy number variation regions (CNVR) were identified, covering 12.8 Mb of polymorphic sequences or 1.07% of the entire chicken genome. The functional annotation of CNVRs indicated that these regions completely or partially overlapped with 231 genes and 1032 quantitative traits loci, suggesting these CNVs have important functions and might be promising resources for exploring differences among various breeds. In addition, we employed quantitative PCR (qPCR) to further validate several copy number variable genes, such as prolactin receptor, endothelin 3 (EDN3), suppressor of cytokine signaling 2, CD8a molecule, with important functions, and the results suggested that EDN3 might be a molecular marker for the selection of dark skin color in poultry production. Moreover, we also identified a new CNVR (chr24: 3484617–3512275), encoding the sortilin-related receptor gene, with copy number changes in only black-bone chicken. Conclusions Here, we report a genome-wide analysis of the CNVs in five chicken breeds using aCGH. The association between EDN3 and melanoblast proliferation was further confirmed using qPCR. These results provide additional information for understanding genomic variation and related phenotypic characteristics. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-934) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Xiangtao Kang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Henan Innovative Engineering Research Center of Poultry Germplasm Resources, Zhengzhou, Henan 450002, China.
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Abstract
We constructed a 400K WG tiling oligoarray for the horse and applied it for the discovery of copy number variations (CNVs) in 38 normal horses of 16 diverse breeds, and the Przewalski horse. Probes on the array represented 18,763 autosomal and X-linked genes, and intergenic, sub-telomeric and chrY sequences. We identified 258 CNV regions (CNVRs) across all autosomes, chrX and chrUn, but not in chrY. CNVs comprised 1.3% of the horse genome with chr12 being most enriched. American Miniature horses had the highest and American Quarter Horses the lowest number of CNVs in relation to Thoroughbred reference. The Przewalski horse was similar to native ponies and draft breeds. The majority of CNVRs involved genes, while 20% were located in intergenic regions. Similar to previous studies in horses and other mammals, molecular functions of CNV-associated genes were predominantly in sensory perception, immunity and reproduction. The findings were integrated with previous studies to generate a composite genome-wide dataset of 1476 CNVRs. Of these, 301 CNVRs were shared between studies, while 1174 were novel and require further validation. Integrated data revealed that to date, 41 out of over 400 breeds of the domestic horse have been analyzed for CNVs, of which 11 new breeds were added in this study. Finally, the composite CNV dataset was applied in a pilot study for the discovery of CNVs in 6 horses with XY disorders of sexual development. A homozygous deletion involving AKR1C gene cluster in chr29 in two affected horses was considered possibly causative because of the known role of AKR1C genes in testicular androgen synthesis and sexual development. While the findings improve and integrate the knowledge of CNVs in horses, they also show that for effective discovery of variants of biomedical importance, more breeds and individuals need to be analyzed using comparable methodological approaches. Genomes of individuals in a species vary in many ways, one of which is DNA copy number variation (CNV). This includes deletions, duplications, and complex rearrangements typically larger than 50 base-pairs. CNVs are part of normal genetic variation contributing to phenotypic diversity but can also be pathogenic and associated with diseases and disorders. In order to distinguish between the two, detailed knowledge about CNVs in the species of interest is needed. Here we studied the genomes of 38 normal horses of 16 diverse breeds, and identified 258 CNV regions. We integrated our findings with previously published horse CNVs and generated a composite dataset of ∼1400 CNVRs. Despite this large number, our analysis shows that CNV research in horses needs further improvement because the current data are based on 10% of horse breeds and that most CNVRs are study-specific and require validation. Finally, we analyzed CNVs in horses with disorders of sexual development and found in two male pseudo-hermaphrodites a large deletion disrupting a group of genes involved in sex hormone metabolism and sexual differentiation. The findings underline the possible role of CNVs in complex disorders such as development and reproduction.
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Zhou W, Liu R, Zhang J, Zheng M, Li P, Chang G, Wen J, Zhao G. A genome-wide detection of copy number variation using SNP genotyping arrays in Beijing-You chickens. Genetica 2014; 142:441-50. [PMID: 25214021 DOI: 10.1007/s10709-014-9788-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2013] [Accepted: 08/18/2014] [Indexed: 12/28/2022]
Abstract
Copy number variation (CNV) has been recently examined in many species and is recognized as being a source of genetic variability, especially for disease-related phenotypes. In this study, the PennCNV software, a genome-wide CNV detection system based on the 60 K SNP BeadChip was used on a total sample size of 1,310 Beijing-You chickens (a Chinese local breed). After quality control, 137 high confidence CNVRs covering 27.31 Mb of the chicken genome and corresponding to 2.61 % of the whole chicken genome. Within these regions, 131 known genes or coding sequences were involved. Q-PCR was applied to verify some of the genes related to disease development. Results showed that copy number of genes such as, phosphatidylinositol-5-phosphate 4-kinase II alpha, PHD finger protein 14, RHACD8 (a CD8α- like messenger RNA), MHC B-G, zinc finger protein, sarcosine dehydrogenase and ficolin 2 varied between individual chickens, which also supports the reliability of chip-detection of the CNVs. As one source of genomic variation, CNVs may provide new insight into the relationship between the genome and phenotypic characteristics.
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Affiliation(s)
- Wei Zhou
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
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