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Liu X, Chen W, Huang B, Wang X, Peng Y, Zhang X, Chai W, Khan MZ, Wang C. Advancements in copy number variation screening in herbivorous livestock genomes and their association with phenotypic traits. Front Vet Sci 2024; 10:1334434. [PMID: 38274664 PMCID: PMC10808162 DOI: 10.3389/fvets.2023.1334434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 12/27/2023] [Indexed: 01/27/2024] Open
Abstract
Copy number variations (CNVs) have garnered increasing attention within the realm of genetics due to their prevalence in human, animal, and plant genomes. These structural genetic variations have demonstrated associations with a broad spectrum of phenotypic diversity, economic traits, environmental adaptations, epidemics, and other essential aspects of both plants and animals. Furthermore, CNVs exhibit extensive sequence variability and encompass a wide array of genomes. The advancement and maturity of microarray and sequencing technologies have catalyzed a surge in research endeavors pertaining to CNVs. This is particularly prominent in the context of livestock breeding, where molecular markers have gained prominence as a valuable tool in comparison to traditional breeding methods. In light of these developments, a contemporary and comprehensive review of existing studies on CNVs becomes imperative. This review serves the purpose of providing a brief elucidation of the fundamental concepts underlying CNVs, their mutational mechanisms, and the diverse array of detection methods employed to identify these structural variations within genomes. Furthermore, it seeks to systematically analyze the recent advancements and findings within the field of CNV research, specifically within the genomes of herbivorous livestock species, including cattle, sheep, horses, and donkeys. The review also highlighted the role of CNVs in shaping various phenotypic traits including growth traits, reproductive traits, pigmentation and disease resistance etc., in herbivorous livestock. The main goal of this review is to furnish readers with an up-to-date compilation of knowledge regarding CNVs in herbivorous livestock genomes. By integrating the latest research findings and insights, it is anticipated that this review will not only offer pertinent information but also stimulate future investigations into the realm of CNVs in livestock. In doing so, it endeavors to contribute to the enhancement of breeding strategies, genomic selection, and the overall improvement of herbivorous livestock production and resistance to diseases.
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Affiliation(s)
| | | | | | | | | | | | | | - Muhammad Zahoor Khan
- Liaocheng Research Institute of Donkey High-Efficiency Breeding, Liaocheng University, Liaocheng, China
| | - Changfa Wang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding, Liaocheng University, Liaocheng, China
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Al-Sharif M, Marghani BH, Ateya A. DNA polymorphisms and expression profile of immune and antioxidant genes as biomarkers for reproductive disorders tolerance/susceptibility in Baladi goat. Anim Biotechnol 2023; 34:2219-2230. [PMID: 35671246 DOI: 10.1080/10495398.2022.2082975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
The objective of this study was to explore single nucleotide polymorphisms (SNPs) and gene expression of immune and antioxidant markers associated with reproductive disorders in Baladi goats. A total of one hundred adults Baladi does were allocated into two equal-sized groups: normal reproductive performance and does have a history of reproductive disorders. DNA sequencing of PRLR (304-bp), LTF (904-bp), TLR2 (420-bp), TLR4 (335-bp), CLA-DRB3.2 (285-bp), SOD3 (735-bp), CAT (1526-bp), GPX4 (782-bp), and GST (690-bp) revealed SNPs associated with reproductive disorders tolerance/susceptibility in investigated does. Nonetheless, DNA sequencing of beta defensin (483-bp), CCL5 (840-bp), and ATOX1 (374-bp) genes elicited a monomorphic pattern. Levels of PRLR, LTF, TLR2, TLR4, CLA-DRB3.2, beta defensin, and CCL5 genes were significantly up-regulated in does affect with reproductive disorders than tolerant ones; while SOD3, CAT, GPX4, GST and ATOX1 genes pattern elicited an opposite trend. The results herein confirmed the potential significance of SNPs in immune and antioxidant genes as genetic markers for reproductive disorders tolerance/susceptibility in Baladi does. The Gene expression profile of investigated genes could be also used as proxy biomarkers for the prediction of the most susceptible risk time for disease occurrence and for building up an effective management protocol.
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Affiliation(s)
- Mona Al-Sharif
- Department of Biology, College of Science, University of Jeddah, Jeddah, Saudi Arabia
| | - Basma H Marghani
- Department of Physiology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt
| | - Ahmed Ateya
- Department of Animal Husbandry and Animal Wealth Development, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt
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Xu Z, Wang X, Song X, An Q, Wang D, Zhang Z, Ding X, Yao Z, Wang E, Liu X, Ru B, Xu Z, Huang Y. Association between the copy number variation of CCSER1 gene and growth traits in Chinese Capra hircus (goat) populations. Anim Biotechnol 2023; 34:1377-1383. [PMID: 35108172 DOI: 10.1080/10495398.2022.2025818] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Recently, Coiled-coil serine-rich protein 1 (CCSER1) gene is reported to be related to economic traits in livestock, and become a hotspot. In our study, we detected CCSER1 gene CNV in 693 goats from six breeds (GZB, GZW, AN, BH, HG, TH) by quantitative real-time PCR (qPCR) and the association analysis between the types of CNV and growth traits. Then, CCSER1 gene expression pattern was discovered in seven tissues from NB goats. Our results showed that the CCSER1 gene copy numbers were distributed differently in the aforementioned six breeds. The type of CCSER1 gene CNV was significantly associated with body weight and heart girth traits in GZW goat, in which individuals with deletion type were dominant in body weight trait (P < 0.05), while the normal type individuals were more advantageous in heart girth trait (P < 0.01); and there was a significant association with heart girth in TH goat (P < 0.05), which normal type was the dominant one. The expression profile revealed that CCSER1 gene has the highest level in the lung, followed by the small intestine and heart. In conclusion, our result is dedicated to an in-depth study of the novel CCSER1 gene CNV site and to provide essential information for Chinese goats molecular selective breeding in the future.
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Affiliation(s)
- Zijie Xu
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi, People's Republic of China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Xianwei Wang
- Henan Provincial Animal Husbandry General Station, Zhengzhou, Henan, People's Republic of China
| | - Xingya Song
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi, People's Republic of China
| | - Qingming An
- College of Agriculture and Forestry Engineering, Tongren University, Tongren, Guizhou, People's Republic of China
| | - Dahui Wang
- College of Agriculture and Forestry Engineering, Tongren University, Tongren, Guizhou, People's Republic of China
| | - Zijing Zhang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, People's Republic of China
| | - Xiaoting Ding
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi, People's Republic of China
| | - Zhi Yao
- College of Animal Science and Technology, Northwest A&F University, Yangling Shaanxi, 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
| | - Xian Liu
- 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
| | - Zejun Xu
- Henan Provincial Animal Husbandry General Station, 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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Choudhury MP, Wang Z, Zhu M, Teng S, Yan J, Cao S, Yi G, Liu Y, Liao Y, Tang Z. Genome-Wide Detection of Copy Number Variations Associated with Miniature Features in Horses. Genes (Basel) 2023; 14:1934. [PMID: 37895283 PMCID: PMC10606273 DOI: 10.3390/genes14101934] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/10/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Copy number variations (CNVs) are crucial structural genomic variants affecting complex traits in humans and livestock animals. The current study was designed to conduct a comprehensive comparative copy number variation analysis among three breeds, Debao (DB), Baise (BS), and Warmblood (WB), with a specific focus on identifying genomic regions associated with miniature features in horses. Using whole-genome next-generation resequencing data, we identified 18,974 CNVs across 31 autosomes. Among the breeds, we found 4279 breed-specific CNV regions (CNVRs). Baise, Debao, and Warmblood displayed 2978, 986, and 895 distinct CNVRs, respectively, with 202 CNVRs shared across all three breeds. After removing duplicates, we obtained 1545 CNVRs from 26 horse genomes. Functional annotation reveals enrichment in biological functions, including antigen processing, cell metabolism, olfactory conduction, and nervous system development. Debao horses have 970 genes overlapping with CNVRs, possibly causing their small size and mountainous adaptations. We also found that the genes GHR, SOX9, and SOX11 may be responsible for the miniature features of the Debao horse by analyzing their overlapping CNVRs. Overall, this study offers valuable insights into the widespread presence of CNVs in the horse genome. The findings contribute to mapping horse CNVs and advance research on unique miniature traits observed in the Debao horse.
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Affiliation(s)
- Md. Panir Choudhury
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Foshan 518124, China; (M.P.C.); (G.Y.); (Y.L.)
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
- Bangladesh Livestock Research Institute, Ministry of Fisheries and Livestock, Savar, Dhaka 1341, Bangladesh
| | - Zihao Wang
- Animal Husbandry Research Institute, Guangxi Vocational University of Agriculture, Nanning 530002,China; (Z.W.); (M.Z.); (S.T.); (J.Y.); (S.C.)
| | - Min Zhu
- Animal Husbandry Research Institute, Guangxi Vocational University of Agriculture, Nanning 530002,China; (Z.W.); (M.Z.); (S.T.); (J.Y.); (S.C.)
| | - Shaohua Teng
- Animal Husbandry Research Institute, Guangxi Vocational University of Agriculture, Nanning 530002,China; (Z.W.); (M.Z.); (S.T.); (J.Y.); (S.C.)
| | - Jing Yan
- Animal Husbandry Research Institute, Guangxi Vocational University of Agriculture, Nanning 530002,China; (Z.W.); (M.Z.); (S.T.); (J.Y.); (S.C.)
| | - Shuwei Cao
- Animal Husbandry Research Institute, Guangxi Vocational University of Agriculture, Nanning 530002,China; (Z.W.); (M.Z.); (S.T.); (J.Y.); (S.C.)
| | - Guoqiang Yi
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Foshan 518124, China; (M.P.C.); (G.Y.); (Y.L.)
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Yuwen Liu
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Foshan 518124, China; (M.P.C.); (G.Y.); (Y.L.)
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Yuying Liao
- Guangxi Veterinary Research Institute, Nanning 530001, China
| | - Zhonglin Tang
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Foshan 518124, China; (M.P.C.); (G.Y.); (Y.L.)
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
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Salehian-Dehkordi H, Huang JH, Pirany N, Mehrban H, Lv XY, Sun W, Esmailizadeh A, Lv FH. Genomic Landscape of Copy Number Variations and Their Associations with Climatic Variables in the World's Sheep. Genes (Basel) 2023; 14:1256. [PMID: 37372436 PMCID: PMC10298528 DOI: 10.3390/genes14061256] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 06/06/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
Sheep show characteristics of phenotypic diversity and adaptation to diverse climatic regions. Previous studies indicated associations between copy number variations (CNVs) and climate-driven adaptive evolution in humans and other domestic animals. Here, we constructed a genomic landscape of CNVs (n = 39,145) in 47 old autochthonous populations genotyped at a set of high-density (600 K) SNPs to detect environment-driven signatures of CNVs using a multivariate regression model. We found 136 deletions and 52 duplications that were significantly (Padj. < 0.05) associated with climatic variables. These climate-mediated selective CNVs are involved in functional candidate genes for heat stress and cold climate adaptation (e.g., B3GNTL1, UBE2L3, and TRAF2), coat and wool-related traits (e.g., TMEM9, STRA6, RASGRP2, and PLA2G3), repairing damaged DNA (e.g., HTT), GTPase activity (e.g., COPG), fast metabolism (e.g., LMF2 and LPIN3), fertility and reproduction (e.g., SLC19A1 and CCDC155), growth-related traits (e.g., ADRM1 and IGFALS), and immune response (e.g., BEGAIN and RNF121) in sheep. In particular, we identified significant (Padj. < 0.05) associations between probes in deleted/duplicated CNVs and solar radiation. Enrichment analysis of the gene sets among all the CNVs revealed significant (Padj. < 0.05) enriched gene ontology terms and pathways related to functions such as nucleotide, protein complex, and GTPase activity. Additionally, we observed overlapping between the CNVs and 140 known sheep QTLs. Our findings imply that CNVs can serve as genomic markers for the selection of sheep adapted to specific climatic conditions.
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Affiliation(s)
- Hosein Salehian-Dehkordi
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (H.S.-D.); (J.-H.H.)
- Department of Animal Science, Faculty of Agriculture, Shahrekord University, Shahrekord 88186-34141, Iran; (N.P.); (H.M.)
| | - Jia-Hui Huang
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (H.S.-D.); (J.-H.H.)
| | - Nasrollah Pirany
- Department of Animal Science, Faculty of Agriculture, Shahrekord University, Shahrekord 88186-34141, Iran; (N.P.); (H.M.)
| | - Hossein Mehrban
- Department of Animal Science, Faculty of Agriculture, Shahrekord University, Shahrekord 88186-34141, Iran; (N.P.); (H.M.)
| | - Xiao-Yang Lv
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (X.-Y.L.); (W.S.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
| | - Wei Sun
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (X.-Y.L.); (W.S.)
- International Joint Research Laboratory in Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou University, Yangzhou 225009, China
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman 76169-14111, Iran
| | - Feng-Hua Lv
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (H.S.-D.); (J.-H.H.)
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Iannuzzi A, Iannuzzi L, Parma P. Molecular Cytogenetics in Domestic Bovids: A Review. Animals (Basel) 2023; 13. [PMID: 36899801 DOI: 10.3390/ani13050944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
The discovery of the Robertsonian translocation (rob) involving cattle chromosomes 1 and 29 and the demonstration of its deleterious effects on fertility focused the interest of many scientific groups on using chromosome banding techniques to reveal chromosome abnormalities and verify their effects on fertility in domestic animals. At the same time, comparative banding studies among various species of domestic or wild animals were found useful for delineating chromosome evolution among species. The advent of molecular cytogenetics, particularly the use of fluorescence in situ hybridization (FISH), has allowed a deeper investigation of the chromosomes of domestic animals through: (a) the physical mapping of specific DNA sequences on chromosome regions; (b) the use of specific chromosome markers for the identification of the chromosomes or chromosome regions involved in chromosome abnormalities, especially when poor banding patterns are produced; (c) better anchoring of radiation hybrid and genetic maps to specific chromosome regions; (d) better comparisons of related and unrelated species by comparative FISH mapping and/or Zoo-FISH techniques; (e) the study of meiotic segregation, especially by sperm-FISH, in some chromosome abnormalities; (f) better demonstration of conserved or lost DNA sequences in chromosome abnormalities; (g) the use of informatic and genomic reconstructions, in addition to CGH arrays, to predict conserved or lost chromosome regions in related species; and (h) the study of some chromosome abnormalities and genomic stability using PCR applications. This review summarizes the most important applications of molecular cytogenetics in domestic bovids, with an emphasis on FISH mapping applications.
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Xu Y, Hu J, Fan W, Liu H, Zhang Y, Guo Z, Huang W, Liu X, Hou S. Genome-wide association analysis reveals 6 copy number variations associated with the number of cervical vertebrae in Pekin ducks. Front Cell Dev Biol 2022; 10:1041088. [PMID: 36438573 PMCID: PMC9685309 DOI: 10.3389/fcell.2022.1041088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 10/07/2022] [Indexed: 02/02/2024] Open
Abstract
As a critical developmental stage in vertebrates, the vertebral column formation process is under strict control; however, we observed variations in the number of cervical vertebrae in duck populations in our previous study. Here, we further explored the variations in the number of vertebrae in two duck populations: 421 Pekin duck × mallard F2 ducks and 850 Pekin ducks. Using resequencing data of 125 Pekin ducks with different numbers of cervical vertebrae and 352 Pekin duck × mallard F2 ducks with different numbers of thoracic vertebrae, we detected whole-genome copy number variations (CNVs) and implemented a genome-wide association study (GWAS) to identify the genetic variants related to the traits. The findings verified the existence of variations in the number of cervical vertebrae in duck populations. The number of cervical vertebrae in most ducks was 15, while that in a small number of the ducks was 14 or 16. The number of cervical vertebrae had a positive influence on the neck production, and one cervical vertebra addition could increase 11 g or 2 cm of duck neck. Genome-wide CNV association analysis identified six CNVs associated with the number of cervical vertebrae, and the associated CNV regions covered 15 genes which included WNT10A and WNT6. These findings improve our understanding of the variations in the number of vertebrae in ducks and lay a foundation for future duck breeding.
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Affiliation(s)
- Yaxi Xu
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shanxi, China
| | - Jian Hu
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenlei Fan
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hehe Liu
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yunsheng Zhang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhanbao Guo
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wei Huang
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaolin Liu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shanxi, China
| | - Shuisheng Hou
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Salgado Pardo JI, Delgado Bermejo JV, González Ariza A, León Jurado JM, Marín Navas C, Iglesias Pastrana C, Martínez Martínez MDA, Navas González FJ. Candidate Genes and Their Expressions Involved in the Regulation of Milk and Meat Production and Quality in Goats ( Capra hircus). Animals (Basel) 2022; 12:ani12080988. [PMID: 35454235 PMCID: PMC9026325 DOI: 10.3390/ani12080988] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 03/21/2022] [Accepted: 04/07/2022] [Indexed: 12/13/2022] Open
Abstract
Simple Summary During the present decade, highly selected caprine farming has increased in popularity due to the hardiness and adaptability inherent to goats. Recent advances in genetics have enabled the improvement in goat selection efficiency. The present review explores how genetic technologies have been applied to the goat-farming sector in the last century. The main candidate genes related to economically relevant traits are reported. The major source of income in goat farming derives from the sale of milk and meat. Consequently, yield and quality must be specially considered. Meat-related traits were evaluated considering three functional groups (weight gain, carcass quality and fat profile). Milk traits were assessed in three additional functional groups (milk production, protein and fat content). Abstract Despite their pivotal position as relevant sources for high-quality proteins in particularly hard environmental contexts, the domestic goat has not benefited from the advances made in genomics compared to other livestock species. Genetic analysis based on the study of candidate genes is considered an appropriate approach to elucidate the physiological mechanisms involved in the regulation of the expression of functional traits. This is especially relevant when such functional traits are linked to economic interest. The knowledge of candidate genes, their location on the goat genetic map and the specific phenotypic outcomes that may arise due to the regulation of their expression act as a catalyzer for the efficiency and accuracy of goat-breeding policies, which in turn translates into a greater competitiveness and sustainable profit for goats worldwide. To this aim, this review presents a chronological comprehensive analysis of caprine genetics and genomics through the evaluation of the available literature regarding the main candidate genes involved in meat and milk production and quality in the domestic goat. Additionally, this review aims to serve as a guide for future research, given that the assessment, determination and characterization of the genes associated with desirable phenotypes may provide information that may, in turn, enhance the implementation of goat-breeding programs in future and ensure their sustainability.
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Affiliation(s)
- Jose Ignacio Salgado Pardo
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14014 Córdoba, Spain; (J.I.S.P.); (J.V.D.B.); (A.G.A.); (C.M.N.); (C.I.P.); (M.d.A.M.M.)
| | - Juan Vicente Delgado Bermejo
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14014 Córdoba, Spain; (J.I.S.P.); (J.V.D.B.); (A.G.A.); (C.M.N.); (C.I.P.); (M.d.A.M.M.)
| | - Antonio González Ariza
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14014 Córdoba, Spain; (J.I.S.P.); (J.V.D.B.); (A.G.A.); (C.M.N.); (C.I.P.); (M.d.A.M.M.)
| | - José Manuel León Jurado
- Agropecuary Provincial Center of Córdoba, Provincial Council of Córdoba, 14014 Córdoba, Spain;
| | - Carmen Marín Navas
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14014 Córdoba, Spain; (J.I.S.P.); (J.V.D.B.); (A.G.A.); (C.M.N.); (C.I.P.); (M.d.A.M.M.)
| | - Carlos Iglesias Pastrana
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14014 Córdoba, Spain; (J.I.S.P.); (J.V.D.B.); (A.G.A.); (C.M.N.); (C.I.P.); (M.d.A.M.M.)
| | - María del Amparo Martínez Martínez
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14014 Córdoba, Spain; (J.I.S.P.); (J.V.D.B.); (A.G.A.); (C.M.N.); (C.I.P.); (M.d.A.M.M.)
| | - Francisco Javier Navas González
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14014 Córdoba, Spain; (J.I.S.P.); (J.V.D.B.); (A.G.A.); (C.M.N.); (C.I.P.); (M.d.A.M.M.)
- Institute of Agricultural Research and Training (IFAPA), Alameda del Obispo, 14004 Córdoba, Spain
- Correspondence: ; Tel.: +34-63-853-5046 (ext. 621262)
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10
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Wang M, Liu Y, Bi X, Ma H, Zeng G, Guo J, Guo M, Ling Y, Zhao C. Genome-Wide Detection of Copy Number Variants in Chinese Indigenous Horse Breeds and Verification of CNV-Overlapped Genes Related to Heat Adaptation of the Jinjiang Horse. Genes (Basel) 2022; 13:genes13040603. [PMID: 35456409 PMCID: PMC9033042 DOI: 10.3390/genes13040603] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 03/23/2022] [Accepted: 03/25/2022] [Indexed: 02/05/2023] Open
Abstract
In the present study, genome-wide CNVs were detected in a total of 301 samples from 10 Chinese indigenous horse breeds using the Illumina Equine SNP70 Bead Array, and the candidate genes related to adaptability to high temperature and humidity in Jinjiang horses were identified and validated. We determined a total of 577 CNVs ranging in size from 1.06 Kb to 2023.07 Kb on the 31 pairs of autosomes. By aggregating the overlapping CNVs for each breed, a total of 495 CNVRs were detected in the 10 Chinese horse breeds. As many as 211 breed-specific CNVRs were determined, of which 64 were found in the Jinjiang horse population. By removing repetitive CNV regions between breeds, a total of 239 CNVRs were identified in the Chinese indigenous horse breeds including 102 losses, 133 gains and 4 of both events (losses and gains in the same region), in which 131 CNVRs were novel and only detected in the present study compared with previous studies. The total detected CNVR length was 41.74 Mb, accounting for 1.83% of the total length of equine autosomal chromosomes. The coverage of CNVRs on each chromosome varied from 0.47% to 15.68%, with the highest coverage on ECA 12, but the highest number of CNVRs was detected on ECA1 and ECA24. A total of 229 genes overlapping with CNVRs were detected in the Jinjiang horse population, which is an indigenous horse breed unique to the southeastern coast of China exhibiting adaptability to high temperature and humidity. The functional annotation of these genes showed significant relation to cellular heat acclimation and immunity. The expression levels of the candidate genes were validated by heat shock treatment of various durations on fibroblasts of horses. The results show that the expression levels of HSPA1A were significantly increased among the different heat shock durations. The expression level of NFKBIA and SOCS4 declined from the beginning of heat shock to 2 h after heat shock and then showed a gradual increase until it reached the highest value at 6 h and 10 h of heat shock, respectively. Breed-specific CNVRs of Chinese indigenous horse breeds were revealed in the present study, and the results facilitate mapping CNVs on the whole genome and also provide valuable insights into the molecular mechanisms of adaptation to high temperature and humidity in the Jinjiang horse.
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Affiliation(s)
- Min Wang
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.W.); (Y.L.); (X.B.); (Y.L.)
- Equine Center, China Agricultural University, Beijing 100193, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, Beijing 100193, China
- National Engineering Laboratory for Animal Breeding, Beijing 100193, China
- Beijing Key Laboratory for Genetic Improvement of Livestock and Poultry, Beijing 100193, China
| | - Yu Liu
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.W.); (Y.L.); (X.B.); (Y.L.)
- Equine Center, China Agricultural University, Beijing 100193, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, Beijing 100193, China
- National Engineering Laboratory for Animal Breeding, Beijing 100193, China
- Beijing Key Laboratory for Genetic Improvement of Livestock and Poultry, Beijing 100193, China
| | - Xiaokun Bi
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.W.); (Y.L.); (X.B.); (Y.L.)
- Equine Center, China Agricultural University, Beijing 100193, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, Beijing 100193, China
- National Engineering Laboratory for Animal Breeding, Beijing 100193, China
- Beijing Key Laboratory for Genetic Improvement of Livestock and Poultry, Beijing 100193, China
| | - Hongying Ma
- Shaanxi Key Laboratory for Animal Conservation, Shaanxi Institute of Zoology, Xi’an 710032, China;
| | - Guorong Zeng
- Jinjiang Animal Husbandry and Veterinary Station, Quanzhou 362200, China; (G.Z.); (J.G.); (M.G.)
| | - Jintu Guo
- Jinjiang Animal Husbandry and Veterinary Station, Quanzhou 362200, China; (G.Z.); (J.G.); (M.G.)
| | - Minghao Guo
- Jinjiang Animal Husbandry and Veterinary Station, Quanzhou 362200, China; (G.Z.); (J.G.); (M.G.)
| | - Yao Ling
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.W.); (Y.L.); (X.B.); (Y.L.)
| | - Chunjiang Zhao
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (M.W.); (Y.L.); (X.B.); (Y.L.)
- Equine Center, China Agricultural University, Beijing 100193, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, Beijing 100193, China
- National Engineering Laboratory for Animal Breeding, Beijing 100193, China
- Beijing Key Laboratory for Genetic Improvement of Livestock and Poultry, Beijing 100193, China
- Correspondence:
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11
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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12
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Prunier J, Carrier A, Gilbert I, Poisson W, Albert V, Taillon J, Bourret V, Côté SD, Droit A, Robert C. CNVs with adaptive potential in Rangifer tarandus: genome architecture and new annotated assembly. Life Sci Alliance 2021; 5:5/3/e202101207. [PMID: 34911809 PMCID: PMC8711850 DOI: 10.26508/lsa.202101207] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 11/29/2021] [Accepted: 11/29/2021] [Indexed: 01/13/2023] Open
Abstract
Rangifer tarandus has experienced recent drastic population size reductions throughout its circumpolar distribution and preserving the species implies genetic diversity conservation. To facilitate genomic studies of the species populations, we improved the genome assembly by combining long read and linked read and obtained a new highly accurate and contiguous genome assembly made of 13,994 scaffolds (L90 = 131 scaffolds). Using de novo transcriptome assembly of RNA-sequencing reads and similarity with annotated human gene sequences, 17,394 robust gene models were identified. As copy number variations (CNVs) likely play a role in adaptation, we additionally investigated these variations among 20 genomes representing three caribou ecotypes (migratory, boreal and mountain). A total of 1,698 large CNVs (length > 1 kb) showing a genome distribution including hotspots were identified. 43 large CNVs were particularly distinctive of the migratory and sedentary ecotypes and included genes annotated for functions likely related to the expected adaptations. This work includes the first publicly available annotation of the caribou genome and the first assembly allowing genome architecture analyses, including the likely adaptive CNVs reported here.
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Affiliation(s)
- Julien Prunier
- Département de Médecine Moléculaire, Faculté de Médecine, Université Laval, Quebec City, Canada
| | - Alexandra Carrier
- Département des sciences animales, Faculté des Sciences de l'Agriculture et de l'Alimentation, Université Laval, Quebec City, Canada
| | - Isabelle Gilbert
- Département des sciences animales, Faculté des Sciences de l'Agriculture et de l'Alimentation, Université Laval, Quebec City, Canada
| | - William Poisson
- Département des sciences animales, Faculté des Sciences de l'Agriculture et de l'Alimentation, Université Laval, Quebec City, Canada
| | - Vicky Albert
- Ministère des Forêts, de la Faune et des Parcs du Québec, Quebec City, Canada
| | - Joëlle Taillon
- Ministère des Forêts, de la Faune et des Parcs du Québec, Quebec City, Canada
| | - Vincent Bourret
- Ministère des Forêts, de la Faune et des Parcs du Québec, Quebec City, Canada
| | - Steeve D Côté
- Caribou Ungava, département de biologie, Faculté des Sciences et de Génie, Université Laval, Quebec City, Canada
| | - Arnaud Droit
- Département de Médecine Moléculaire, Faculté de Médecine, Université Laval, Quebec City, Canada
| | - Claude Robert
- Département des sciences animales, Faculté des Sciences de l'Agriculture et de l'Alimentation, Université Laval, Quebec City, Canada
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13
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Wang Z, Guo Y, Liu S, Meng Q. Genome-Wide Assessment Characteristics of Genes Overlapping Copy Number Variation Regions in Duroc Purebred Population. Front Genet 2021; 12:753748. [PMID: 34721540 PMCID: PMC8552909 DOI: 10.3389/fgene.2021.753748] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 09/23/2021] [Indexed: 11/13/2022] Open
Abstract
Copy number variations (CNVs) are important structural variations that can cause significant phenotypic diversity. Reliable CNVs mapping can be achieved by identification of CNVs from different genetic backgrounds. Investigations on the characteristics of overlapping between CNV regions (CNVRs) and protein-coding genes (CNV genes) or miRNAs (CNV-miRNAs) can reveal the potential mechanisms of their regulation. In this study, we used 50 K SNP arrays to detect CNVs in Duroc purebred pig. A total number of 211 CNVRs were detected with a total length of 118.48 Mb, accounting for 5.23% of the autosomal genome sequence. Of these CNVRs, 32 were gains, 175 losses, and four contained both types (loss and gain within the same region). The CNVRs we detected were non-randomly distributed in the swine genome and were significantly enriched in the segmental duplication and gene density region. Additionally, these CNVRs were overlapping with 1,096 protein-coding genes (CNV-genes), and 39 miRNAs (CNV-miRNAs), respectively. The CNV-genes were enriched in terms of dosage-sensitive gene list. The expression of the CNV genes was significantly higher than that of the non-CNV genes in the adult Duroc prostate. Of all detected CNV genes, 22.99% genes were tissue-specific (TSI > 0.9). Strong negative selection had been underway in the CNV-genes as the ones that were located entirely within the loss CNVRs appeared to be evolving rapidly as determined by the median dN plus dS values. Non-CNV genes tended to be miRNA target than CNV-genes. Furthermore, CNV-miRNAs tended to target more genes compared to non-CNV-miRNAs, and a combination of two CNV-miRNAs preferentially synergistically regulated the same target genes. We also focused our efforts on examining CNV genes and CNV-miRNAs functions, which were also involved in the lipid metabolism, including DGAT1, DGAT2, MOGAT2, miR143, miR335, and miRLET7. Further molecular experiments and independent large studies are needed to confirm our findings.
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Affiliation(s)
- Zhipeng Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Yuanyuan Guo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Shengwei Liu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Bioinformatics Center, Northeast Agricultural University, Harbin, China
| | - Qingli Meng
- Beijing Breeding Swine Center, Beijing, China
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14
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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] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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15
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Chebii VJ, Mpolya EA, Muchadeyi FC, Domelevo Entfellner JB. Genomics of Adaptations in Ungulates. Animals (Basel) 2021; 11:1617. [PMID: 34072591 PMCID: PMC8230064 DOI: 10.3390/ani11061617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 05/22/2021] [Accepted: 05/23/2021] [Indexed: 11/16/2022] Open
Abstract
Ungulates are a group of hoofed animals that have long interacted with humans as essential sources of food, labor, clothing, and transportation. These consist of domesticated, feral, and wild species raised in a wide range of habitats and biomes. Given the diverse and extreme environments inhabited by ungulates, unique adaptive traits are fundamental for fitness. The documentation of genes that underlie their genomic signatures of selection is crucial in this regard. The increasing availability of advanced sequencing technologies has seen the rapid growth of ungulate genomic resources, which offers an exceptional opportunity to understand their adaptive evolution. Here, we summarize the current knowledge on evolutionary genetic signatures underlying the adaptations of ungulates to different habitats.
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Affiliation(s)
- Vivien J. Chebii
- School of Life Science and Bioengineering, Nelson Mandela Africa Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania;
- Biosciences Eastern and Central Africa, International Livestock Research Institute (BecA-ILRI) Hub, P.O. Box 30709, Nairobi 00100, Kenya;
| | - Emmanuel A. Mpolya
- School of Life Science and Bioengineering, Nelson Mandela Africa Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania;
| | - Farai C. Muchadeyi
- Agricultural Research Council Biotechnology Platform (ARC-BTP), Private Bag X5, Onderstepoort 0110, South Africa;
| | - Jean-Baka Domelevo Entfellner
- Biosciences Eastern and Central Africa, International Livestock Research Institute (BecA-ILRI) Hub, P.O. Box 30709, Nairobi 00100, Kenya;
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16
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Nandolo W, Mészáros G, Wurzinger M, Banda LJ, Gondwe TN, Mulindwa HA, Nakimbugwe HN, Clark EL, Woodward-Greene MJ, Liu M, Liu GE, Van Tassell CP, Rosen BD, Sölkner J. Detection of copy number variants in African goats using whole genome sequence data. BMC Genomics 2021; 22:398. [PMID: 34051743 PMCID: PMC8164248 DOI: 10.1186/s12864-021-07703-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 05/11/2021] [Indexed: 12/21/2022] Open
Abstract
Background Copy number variations (CNV) are a significant source of variation in the genome and are therefore essential to the understanding of genetic characterization. The aim of this study was to develop a fine-scaled copy number variation map for African goats. We used sequence data from multiple breeds and from multiple African countries. Results A total of 253,553 CNV (244,876 deletions and 8677 duplications) were identified, corresponding to an overall average of 1393 CNV per animal. The mean CNV length was 3.3 kb, with a median of 1.3 kb. There was substantial differentiation between the populations for some CNV, suggestive of the effect of population-specific selective pressures. A total of 6231 global CNV regions (CNVR) were found across all animals, representing 59.2 Mb (2.4%) of the goat genome. About 1.6% of the CNVR were present in all 34 breeds and 28.7% were present in all 5 geographical areas across Africa, where animals had been sampled. The CNVR had genes that were highly enriched in important biological functions, molecular functions, and cellular components including retrograde endocannabinoid signaling, glutamatergic synapse and circadian entrainment. Conclusions This study presents the first fine CNV map of African goat based on WGS data and adds to the growing body of knowledge on the genetic characterization of goats. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07703-1.
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Affiliation(s)
- Wilson Nandolo
- University of Natural Resources and Life Sciences, Vienna, Austria.,Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi
| | - Gábor Mészáros
- University of Natural Resources and Life Sciences, Vienna, Austria
| | - Maria Wurzinger
- University of Natural Resources and Life Sciences, Vienna, Austria
| | - Liveness J Banda
- Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi
| | - Timothy N Gondwe
- Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi
| | | | | | - Emily L Clark
- The Roslin Institute, University of Edinburgh, Edinburgh, Scotland, UK
| | - M Jennifer Woodward-Greene
- Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.,National Agricultural Library, USDA-ARS, Beltsville, MD, USA
| | - Mei Liu
- Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA
| | | | - George E Liu
- Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA
| | | | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
| | - Johann Sölkner
- University of Natural Resources and Life Sciences, Vienna, Austria
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17
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Guo J, Zhong J, Liu GE, Yang L, Li L, Chen G, Song T, Zhang H. Identification and population genetic analyses of copy number variations in six domestic goat breeds and Bezoar ibexes using next-generation sequencing. BMC Genomics 2020; 21:840. [PMID: 33246410 DOI: 10.1186/s12864-020-07267-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 11/23/2020] [Indexed: 11/27/2022] Open
Abstract
Background Copy number variations (CNVs) are a major form of genetic variations and are involved in animal domestication and genetic adaptation to local environments. We investigated CNVs in the domestic goat (Capra hircus) using Illumina short-read sequencing data, by comparing our lab data for 38 goats from three Chinese breeds (Chengdu Brown, Jintang Black, and Tibetan Cashmere) to public data for 26 individuals from three other breeds (two Moroccan and one Chinese) and 21samples from Bezoar ibexes. Results We obtained a total of 2394 CNV regions (CNVRs) by merging 208,649 high-confidence CNVs, which spanned ~ 267 Mb of total length and accounted for 10.80% of the goat autosomal genome. Functional analyses showed that 2322 genes overlapping with the CNVRs were significantly enriched in 57 functional GO terms and KEGG pathways, most related to the nervous system, metabolic process, and reproduction system. Clustering patterns of all 85 samples generated separately from duplications and deletions were generally consistent with the results from SNPs, agreeing with the geographical origins of these goats. Based on genome-wide FST at each CNV locus, some genes overlapping with the highly divergent CNVs between domestic and wild goats were mainly enriched for several immunity-related pathways, whereas the genes overlapping with the highly differentiated CNVs between highland and lowland goats were mainly related to vitamin and lipid metabolism. Remarkably, a 507-bp deletion at ~ 14 kb downstream of FGF5 on chromosome 6 showed highly divergent (FST = 0.973) between the highland and lowland goats. Together with an enhancer activity of this sequence shown previously, the function of this duplication in regulating fiber growth deserved to be further investigated in detail. Conclusion We generated a comprehensive map of CNVs in goats. Many genetically differentiated CNVs among various goat populations might be associated with the population characteristics of domestic goat breeds. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-020-07267-6.
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Zonaed Siddiki AMAM, Miah G, Islam MS, Kumkum M, Rumi MH, Baten A, Hossain MA. Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits. Int J Genomics 2020; 2020:5940205. [PMID: 32904540 DOI: 10.1155/2020/5940205] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 06/30/2020] [Accepted: 07/24/2020] [Indexed: 11/25/2022] Open
Abstract
Goat plays a crucial role in human livelihoods, being a major source of meat, milk, fiber, and hides, particularly under adverse climatic conditions. The goat genomics related to the candidate gene approach is now being used to recognize molecular mechanisms that have different expressions of growth, reproductive, milk, wool, and disease resistance. The appropriate literature on this topic has been reviewed in this article. Several genetic characterization attempts of different goats have reported the existence of genotypic and morphological variations between different goat populations. As a result, different whole-genome sequences along with annotated gene sequences, gene function, and other genomic information of different goats are available in different databases. The main objective of this review is to search the genes associated with economic traits in goats. More than 271 candidate genes have been discovered in goats. Candidate genes influence the physiological pathway, metabolism, and expression of phenotypes. These genes have different functions on economically important traits. Some genes have pleiotropic effect for expression of phenotypic traits. Hence, recognizing candidate genes and their mutations that cause variations in gene expression and phenotype of an economic trait can help breeders look for genetic markers for specific economic traits. The availability of reference whole-genome assembly of goats, annotated genes, and transcriptomics makes comparative genomics a useful tool for systemic genetic upgradation. Identification and characterization of trait-associated sequence variations and gene will provide powerful means to give positive influences for future goat breeding program.
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19
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Guan D, Martínez A, Castelló A, Landi V, Luigi-Sierra MG, Fernández-Álvarez J, Cabrera B, Delgado JV, Such X, Jordana J, Amills M. A genome-wide analysis of copy number variation in Murciano-Granadina goats. Genet Sel Evol 2020; 52:44. [PMID: 32770942 PMCID: PMC7414533 DOI: 10.1186/s12711-020-00564-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 07/28/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND In this work, our aim was to generate a map of the copy number variations (CNV) segregating in a population of Murciano-Granadina goats, the most important dairy breed in Spain, and to ascertain the main biological functions of the genes that map to copy number variable regions. RESULTS Using a dataset that comprised 1036 Murciano-Granadina goats genotyped with the Goat SNP50 BeadChip, we were able to detect 4617 and 7750 autosomal CNV with the PennCNV and QuantiSNP software, respectively. By applying the EnsembleCNV algorithm, these CNV were assembled into 1461 CNV regions (CNVR), of which 486 (33.3% of the total CNVR count) were consistently called by PennCNV and QuantiSNP and used in subsequent analyses. In this set of 486 CNVR, we identified 78 gain, 353 loss and 55 gain/loss events. The total length of all the CNVR (95.69 Mb) represented 3.9% of the goat autosomal genome (2466.19 Mb), whereas their size ranged from 2.0 kb to 11.1 Mb, with an average size of 196.89 kb. Functional annotation of the genes that overlapped with the CNVR revealed an enrichment of pathways related with olfactory transduction (fold-enrichment = 2.33, q-value = 1.61 × 10-10), ABC transporters (fold-enrichment = 5.27, q-value = 4.27 × 10-04) and bile secretion (fold-enrichment = 3.90, q-value = 5.70 × 10-03). CONCLUSIONS A previous study reported that the average number of CNVR per goat breed was ~ 20 (978 CNVR/50 breeds), which is much smaller than the number we found here (486 CNVR). We attribute this difference to the fact that the previous study included multiple caprine breeds that were represented by small to moderate numbers of individuals. Given the low frequencies of CNV (in our study, the average frequency of CNV is 1.44%), such a design would probably underestimate the levels of the diversity of CNV at the within-breed level. We also observed that functions related with sensory perception, metabolism and embryo development are overrepresented in the set of genes that overlapped with CNV, and that these loci often belong to large multigene families with tens, hundreds or thousands of paralogous members, a feature that could favor the occurrence of duplications or deletions by non-allelic homologous recombination.
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Affiliation(s)
- Dailu Guan
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Amparo Martínez
- Departamento de Genética, Universidad de Córdoba, 14071, Córdoba, Spain
| | - Anna Castelló
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.,Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Vincenzo Landi
- Departamento de Genética, Universidad de Córdoba, 14071, Córdoba, Spain.,Department of Veterinary Medicine, University of Bari "Aldo Moro", SP. 62 per Casamassima km. 3, 70010, Valenzano, BA, Italy
| | - María Gracia Luigi-Sierra
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Javier Fernández-Álvarez
- Asociación Nacional de Criadores de Caprino de Raza Murciano-Granadina (CAPRIGRAN), 18340, Granada, Spain
| | - Betlem Cabrera
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.,Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | | | - Xavier Such
- Group of Research in Ruminants (G2R), Department of Animal and Food Science, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain
| | - Jordi Jordana
- Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Marcel Amills
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain. .,Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
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20
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Di Gerlando R, Mastrangelo S, Moscarelli A, Tolone M, Sutera AM, Portolano B, Sardina MT. Genomic Structural Diversity in Local Goats: Analysis of Copy-Number Variations. Animals (Basel) 2020; 10:E1040. [PMID: 32560248 DOI: 10.3390/ani10061040] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 06/05/2020] [Accepted: 06/12/2020] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Copy-number variations (CNVs) are one of the widely dispersed forms of structural variations in mammalian genomes and are known to be present in genomic regions that regulate important physiological functions. In this study, CNV detection was performed starting from genotypic data of 120 individuals, belonging to four Sicilian dairy goat breeds, genotyped with the Illumina GoatSNP50 BeadChip array. Using PennCNV software, a total of 702 CNVs were identified in 107 individuals. These were merged in 75 CNV regions (CNVRs), i.e., regions containing CNVs overlapped by at least 1 base pair. Functional annotation of the CNVRs allowed the identification of 139 genes/loci within the most frequent CNVRs, which are involved in local adaptation, mild behaviour, immune response, reproduction, and olfactory receptors. This study provides insights into the genomic variations within these Italian goat breeds and should be of value for future studies to identify the relationships between this type of genetic variation and phenotypic traits. Abstract Copy-number variations (CNVs) are one of the widely dispersed forms of structural variations in mammalian genomes, and are present as deletions, insertions, or duplications. Only few studies have been conducted in goats on CNVs derived from SNP array data, and many local breeds still remain uncharacterized, e.g., the Sicilian goat dairy breeds. In this study, CNV detection was performed, starting from the genotypic data of 120 individuals, belonging to four local breeds (Argentata dell’Etna, Derivata di Siria, Girgentana, and Messinese), genotyped with the Illumina GoatSNP50 BeadChip array. Overall, 702 CNVs were identified in 107 individuals using PennCNV software based on the hidden Markov model algorithm. These were merged in 75 CNV regions (CNVRs), i.e., regions containing CNVs overlapped by at least 1 base pair, while 85 CNVs remained unique. The part of the genome covered by CNV events was 35.21 Mb (1.2% of the goat genome length). Functional annotation of the CNVRs allowed the identification of 139 genes/loci within the most frequent CNVRs that are involved in local adaptations, such as coat colour (ADAMTS20 and EDNRA), mild behaviour (NR3C2), immune response (EXOC3L4 and TNFAIP2), reproduction (GBP1 and GBP6), and olfactory receptors (OR7E24). This study provides insights into the genomic variations for these Sicilian dairy goat breeds and should be of value for future studies to identify the relationships between this type of genetic variation and phenotypic traits.
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21
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Wang Z, Guo J, Guo Y, Yang Y, Teng T, Yu Q, Wang T, Zhou M, Zhu Q, Wang W, Zhang Q, Yang H. Genome-Wide Detection of CNVs and Association With Body Weight in Sheep Based on 600K SNP Arrays. Front Genet 2020; 11:558. [PMID: 32582291 PMCID: PMC7297042 DOI: 10.3389/fgene.2020.00558] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 05/07/2020] [Indexed: 01/30/2023] Open
Abstract
Copy number variations (CNVs) are important genomic structural variations and can give rise to significant phenotypic diversity. Herein, we used high-density 600K SNP arrays to detect CNVs in two synthetic lines of sheep (DS and SHH) and in Hu sheep (a local Chinese breed). A total of 919 CNV regions (CNVRs) were detected with a total length of 48.17 Mb, accounting for 1.96% of the sheep genome. These CNVRs consisted of 730 gains, 102 losses, and 87 complex CNVRs. These CNVRs were significantly enriched in the segmental duplication (SD) region. A CNVR-based cluster analysis of the three breeds revealed that the DS and SHH breeds share a close genetic relationship. Functional analysis revealed that some genes in these CNVRs were also significantly enriched in the olfactory transduction pathway (oas04740), including members of the OR gene family such as OR6C76, OR4Q2, and OR4K14. Using association analyses and previous gene annotations, we determined that a subset of identified genes was likely to be associated with body weight, including FOXF2, MAPK12, MAP3K11, STRBP, and C14orf132. Together, these results offer valuable information that will guide future efforts to explore the genetic basis for body weight in sheep.
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Affiliation(s)
- Zhipeng Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
| | - Jing Guo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
| | - Yuanyuan Guo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
| | - Yonglin Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, China
| | - Teng Teng
- Institute of Animal Nutrition, Northeast Agricultural University, Harbin, China
| | - Qian Yu
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, China
| | - Tao Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
| | - Meng Zhou
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
| | - Qiusi Zhu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
| | - Wenwen Wang
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, China
| | - Qin Zhang
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, Shandong Agricultural University, Tai'an, China
| | - Hua Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, China
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22
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Bovo S, Ribani A, Muñoz M, Alves E, Araujo JP, Bozzi R, Charneca R, Di Palma F, Etherington G, Fernandez AI, García F, García-Casco J, Karolyi D, Gallo M, Gvozdanović K, Martins JM, Mercat MJ, Núñez Y, Quintanilla R, Radović Č, Razmaite V, Riquet J, Savić R, Schiavo G, Škrlep M, Usai G, Utzeri VJ, Zimmer C, Ovilo C, Fontanesi L. Genome-wide detection of copy number variants in European autochthonous and commercial pig breeds by whole-genome sequencing of DNA pools identified breed-characterising copy number states. Anim Genet 2020; 51:541-556. [PMID: 32510676 DOI: 10.1111/age.12954] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/30/2020] [Indexed: 02/06/2023]
Abstract
In this study, we identified copy number variants (CNVs) in 19 European autochthonous pig breeds and in two commercial breeds (Italian Large White and Italian Duroc) that represent important genetic resources for this species. The genome of 725 pigs was sequenced using a breed-specific DNA pooling approach (30-35 animals per pool) obtaining an average depth per pool of 42×. This approach maximised CNV discovery as well as the related copy number states characterising, on average, the analysed breeds. By mining more than 17.5 billion reads, we identified a total of 9592 CNVs (~683 CNVs per breed) and 3710 CNV regions (CNVRs; 1.15% of the reference pig genome), with an average of 77 CNVRs per breed that were considered as private. A few CNVRs were analysed in more detail, together with other information derived from sequencing data. For example, the CNVR encompassing the KIT gene was associated with coat colour phenotypes in the analysed breeds, confirming the role of the multiple copies in determining breed-specific coat colours. The CNVR covering the MSRB3 gene was associated with ear size in most breeds. The CNVRs affecting the ELOVL6 and ZNF622 genes were private features observed in the Lithuanian Indigenous Wattle and in the Turopolje pig breeds respectively. Overall, the genome variability unravelled here can explain part of the genetic diversity among breeds and might contribute to explain their origin, history and adaptation to a variety of production systems.
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Affiliation(s)
- S Bovo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, Bologna, 40127, Italy
| | - A Ribani
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, Bologna, 40127, Italy
| | - M Muñoz
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - E Alves
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - J P Araujo
- Centro de Investigação de Montanha, Instituto Politécnico de Viana do Castelo, Escola Superior Agrária, Refóios do Lima, Ponte de Lima, 4990-706, Portugal
| | - R Bozzi
- DAGRI - Animal Science Section, Università di Firenze, Via delle Cascine 5, Firenze, 50144, Italy
| | - R Charneca
- MED - Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Pólo da Mitra, Apartado 94, Évora, 7006-554, Portugal
| | - F Di Palma
- Earlham Institute, Norwich Research Park, Colney Lane, Norwich, NR47UZ, UK
| | - G Etherington
- Earlham Institute, Norwich Research Park, Colney Lane, Norwich, NR47UZ, UK
| | - A I Fernandez
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - F García
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - J García-Casco
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - D Karolyi
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska c. 25, Zagreb, 10000, Croatia
| | - M Gallo
- Associazione Nazionale Allevatori Suini, Via Nizza 53, Roma, 00198, Italy
| | - K Gvozdanović
- Faculty of Agrobiotechnical Sciences Osijek, University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia
| | - J M Martins
- MED - Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Pólo da Mitra, Apartado 94, Évora, 7006-554, Portugal
| | - M J Mercat
- IFIP Institut Du Porc, La Motte au Vicomte, BP 35104, Le Rheu Cedex, 35651, France
| | - Y Núñez
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - R Quintanilla
- Programa de Genética y Mejora Animal, IRTA, Torre Marimon, Caldes de Montbui, Barcelona, 08140, Spain
| | - Č Radović
- Department of Pig Breeding and Genetics, Institute for Animal Husbandry, Belgrade-Zemun, 11080, Serbia
| | - V Razmaite
- Animal Science Institute, Lithuanian University of Health Sciences, R. Žebenkos 12, Baisogala, 82317, Lithuania
| | - J Riquet
- GenPhySE, INRA, Université de Toulouse, Chemin de Borde-Rouge 24, Auzeville Tolosane, Castanet Tolosan, 31326, France
| | - R Savić
- Faculty of Agriculture, University of Belgrade, Nemanjina 6, Belgrade-Zemun, 11080, Serbia
| | - G Schiavo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, Bologna, 40127, Italy
| | - M Škrlep
- Kmetijski Inštitut Slovenije, Hacquetova 17, Ljubljana, SI-1000, Slovenia
| | - G Usai
- AGRIS SARDEGNA, Loc. Bonassai, Sassari, 07100, Italy
| | - V J Utzeri
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, Bologna, 40127, Italy
| | - C Zimmer
- Bäuerliche Erzeugergemeinschaft Schwäbisch Hall, Haller Str. 20, Wolpertshausen, 74549, Germany
| | - C Ovilo
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - L Fontanesi
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, Bologna, 40127, Italy
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Liu M, Woodward-greene J, Kang X, Pan MG, Rosen B, Van Tassell CP, Chen H, Liu GE. Genome-wide CNV analysis revealed variants associated with growth traits in African indigenous goats. Genomics 2020; 112:1477-80. [DOI: 10.1016/j.ygeno.2019.08.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 07/22/2019] [Accepted: 08/21/2019] [Indexed: 11/24/2022]
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Kommadath A, Grant JR, Krivushin K, Butty AM, Baes CF, Carthy TR, Berry DP, Stothard P. A large interactive visual database of copy number variants discovered in taurine cattle. Gigascience 2020; 8:5523204. [PMID: 31241156 PMCID: PMC6593363 DOI: 10.1093/gigascience/giz073] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 02/27/2019] [Accepted: 05/28/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Copy number variants (CNVs) contribute to genetic diversity and phenotypic variation. We aimed to discover CNVs in taurine cattle using a large collection of whole-genome sequences and to provide an interactive database of the identified CNV regions (CNVRs) that includes visualizations of sequence read alignments, CNV boundaries, and genome annotations. RESULTS CNVs were identified in each of 4 whole-genome sequencing datasets, which together represent >500 bulls from 17 breeds, using a popular multi-sample read-depth-based algorithm, cn.MOPS. Quality control and CNVR construction, performed dataset-wise to avoid batch effects, resulted in 26,223 CNVRs covering 107.75 unique Mb (4.05%) of the bovine genome. Hierarchical clustering of samples by CNVR genotypes indicated clear separation by breeds. An interactive HTML database was created that allows data filtering options, provides graphical and tabular data summaries including Hardy-Weinberg equilibrium tests on genotype proportions, and displays genes and quantitative trait loci at each CNVR. Notably, the database provides sequence read alignments at each CNVR genotype and the boundaries of constituent CNVs in individual samples. Besides numerous novel discoveries, we corroborated the genotypes reported for a CNVR at the KIT locus known to be associated with the piebald coat colour phenotype in Hereford and some Simmental cattle. CONCLUSIONS We present a large comprehensive collection of taurine cattle CNVs in a novel interactive visual database that displays CNV boundaries, read depths, and genome features for individual CNVRs, thus providing users with a powerful means to explore and scrutinize CNVRs of interest more thoroughly.
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Affiliation(s)
- Arun Kommadath
- Department of Agricultural, Food and Nutritional Science (AFNS), University of Alberta, Edmonton, AB, Canada.,Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Lacombe, Alberta, Canada
| | - Jason R Grant
- Department of Agricultural, Food and Nutritional Science (AFNS), University of Alberta, Edmonton, AB, Canada
| | - Kirill Krivushin
- Department of Agricultural, Food and Nutritional Science (AFNS), University of Alberta, Edmonton, AB, Canada
| | - Adrien M Butty
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
| | - Christine F Baes
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada.,Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Tara R Carthy
- Teagasc, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, Ireland
| | - Donagh P Berry
- Teagasc, Animal & Grassland Research and Innovation Centre, Moorepark, Fermoy, Ireland
| | - Paul Stothard
- Department of Agricultural, Food and Nutritional Science (AFNS), University of Alberta, Edmonton, AB, Canada
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Emam M, Livernois A, Paibomesai M, Atalla H, Mallard B. Genetic and Epigenetic Regulation of Immune Response and Resistance to Infectious Diseases in Domestic Ruminants. Vet Clin North Am Food Anim Pract 2019; 35:405-29. [PMID: 31590895 DOI: 10.1016/j.cvfa.2019.07.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Infectious diseases are the outcome of complex interactions between the host, pathogen, and environment. After exposure to a pathogen, the host immune system uses various mechanisms to remove the pathogen. However, environmental factors and characteristics of pathogens can compromise the host immune responses and subsequently alter the outcome of infection. In this article, genetic and epigenetic factors that shape the individual variation in mounting protective responses are reviewed. Different approaches that have been used by researchers to investigate the genetic regulation of immunity in ruminants and various sources of genetic information are discussed.
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Keel BN, Nonneman DJ, Lindholm-Perry AK, Oliver WT, Rohrer GA. A Survey of Copy Number Variation in the Porcine Genome Detected From Whole-Genome Sequence. Front Genet 2019; 10:737. [PMID: 31475038 PMCID: PMC6707380 DOI: 10.3389/fgene.2019.00737] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Accepted: 07/12/2019] [Indexed: 12/11/2022] Open
Abstract
Copy number variations (CNVs) are gains and losses of large regions of genomic sequence between individuals of a species. Although CNVs have been associated with various phenotypic traits in humans and other species, the extent to which CNVs impact phenotypic variation remains unclear. In swine, as well as many other species, relatively little is understood about the frequency of CNV in the genome, sizes, locations, and other chromosomal properties. In this work, we identified and characterized CNV by utilizing whole-genome sequence from 240 members of an intensely phenotyped experimental swine herd at the U.S. Meat Animal Research Center (USMARC). These animals included all 24 of the purebred founding boars (12 Duroc and 12 Landrace), 48 of the founding Yorkshire-Landrace composite sows, 109 composite animals from generations 4 through 9, 29 composite animals from generation 15, and 30 purebred industry boars (15 Landrace and 15 Yorkshire) used as sires in generations 10 through 15. Using a combination of split reads, paired-end mapping, and read depth approaches, we identified a total of 3,538 copy number variable regions (CNVRs), including 1,820 novel CNVRs not reported in previous studies. The CNVRs covered 0.94% of the porcine genome and overlapped 1,401 genes. Gene ontology analysis identified that CNV-overlapped genes were enriched for functions related to organism development. Additionally, CNVRs overlapped with many known quantitative trait loci (QTL). In particular, analysis of QTL previously identified in the USMARC herd showed that CNVRs were most overlapped with reproductive traits, such as age of puberty and ovulation rate, and CNVRs were significantly enriched for reproductive QTL.
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Affiliation(s)
- Brittney N Keel
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE, United States
| | - Dan J Nonneman
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE, United States
| | | | - William T Oliver
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE, United States
| | - Gary A Rohrer
- USDA, ARS, U.S. Meat Animal Research Center, Clay Center, NE, United States
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Jiang R, Cheng J, Cao XK, Ma YL, Chaogetu B, Huang YZ, Lan XY, Lei CZ, Hu LY, Chen H. Copy Number Variation of the SHE Gene in Sheep and Its Association with Economic Traits. Animals (Basel) 2019; 9:E531. [PMID: 31390723 DOI: 10.3390/ani9080531] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [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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Zhang RQ, Wang JJ, Zhang T, Zhai HL, Shen W. Copy-number variation in goat genome sequence: A comparative analysis of the different litter size trait groups. Gene 2019; 696:40-46. [DOI: 10.1016/j.gene.2019.02.027] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 01/17/2019] [Accepted: 02/01/2019] [Indexed: 02/04/2023]
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Di Gerlando R, Sutera AM, Mastrangelo S, Tolone M, Portolano B, Sottile G, Bagnato A, Strillacci MG, Sardina MT. Genome-wide association study between CNVs and milk production traits in Valle del Belice sheep. PLoS One 2019; 14:e0215204. [PMID: 31013280 PMCID: PMC6478285 DOI: 10.1371/journal.pone.0215204] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 03/28/2019] [Indexed: 11/19/2022] Open
Abstract
Copy number variation (CNV) is a major source of genomic structural variation. The aim of this study was to detect genomic CNV regions (CNVR) in Valle del Belice dairy sheep population and to identify those affecting milk production traits. The GO analysis identified possible candidate genes and pathways related to the selected traits. We identified CNVs in 416 individuals genotyped using the Illumina OvineSNP50 BeadChip array. The CNV association using a correlation-trend test model was examined with the Golden Helix SVS 8.7.0 tool. Significant CNVs were detected when their adjusted p-value was <0.01 after false discovery rate (FDR) correction. We identified 7,208 CNVs, which gave 365 CNVRs after aggregating overlapping CNVs. Thirty-one CNVRs were significantly associated with one or more traits included in the analysis. All CNVRs, except those on OAR19, overlapped with quantitative trait loci (QTL), even if they were not directly related to the traits of interest. A total of 222 genes were annotated within the significantly associated CNVRs, most of which played important roles in biological processes related to milk production and health-related traits. Identification of the genes in the CNVRs associated with the studied traits will provide the basis for further investigation of their role in the metabolic pathways related to milk production and health traits.
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Affiliation(s)
- Rosalia Di Gerlando
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
| | - Anna Maria Sutera
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
| | - Salvatore Mastrangelo
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
| | - Marco Tolone
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
| | - Baldassare Portolano
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
| | - Gianluca Sottile
- Università degli Studi di Palermo, Dipartimento di Scienze Economiche, Aziendali e Statistiche, Italy
| | - Alessandro Bagnato
- Università degli Studi di Milano, Dipartimento di Medicina Veterinaria, Italy
| | | | - Maria Teresa Sardina
- Università degli Studi di Palermo, Dipartimento di Scienze Agrarie, Alimentari e Forestali, Italy
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Manjunath S, Saxena S, Mishra B, Santra L, Sahu AR, Wani SA, Tiwari AK, Mishra BP, Singh RK, Janga SC, Kumar GR. Early transcriptome profile of goat peripheral blood mononuclear cells (PBMCs) infected with peste des petits ruminant's vaccine virus (Sungri/96) revealed induction of antiviral response in an interferon independent manner. Res Vet Sci 2019; 124:166-177. [PMID: 30903969 DOI: 10.1016/j.rvsc.2019.03.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Revised: 03/13/2019] [Accepted: 03/13/2019] [Indexed: 02/06/2023]
Abstract
Sungri/96 vaccine strain is considered the most potent vaccine providing long-term immunity against peste des petits ruminants (PPR) in India. Previous studies in our laboratory highlighted induction of robust antiviral response in an interferon independent manner at 48 h and 120 h post infection (p.i.). However, immune response at the earliest time point 6 h p.i. (time taken to complete one PPRV life cycle), in PBMCs infected with Sungri/96 vaccine virus has not been investigated. This study was taken up to understand the global gene expression profiling of goat PBMCs after Sungri/96 PPRV vaccine strain infection at 6 h post infection (p.i.). A total of 1926 differentially expressed genes (DEGs) were identified with 616 - upregulated and 1310 - downregulated. TLR7/TLR3, IRF7/IRF1, ISG20, IFIT1/IFIT2, IFITM3, IL27 and TREX1 were identified as key immune sensors and antiviral candidate genes. Interestingly, type I interferons (IFNα/β) were not differentially expressed at this time point as well. TREX1, an exonuclease which inhibits type I interferons at the early stage of virus infection was found to be highly upregulated. IL27, an important antiviral host immune factor was significantly upregulated. ISG20, an antiviral interferon induced gene with exonuclease activity specific to ssRNA viruses was highly expressed. Functional profiling of DEGs showed significant enrichment of immune system processes with 233 genes indicating initiation of immune defense response in host cells. Protein interaction network showed important innate immune molecules in the immune network with high connectivity. The study highlights important immune and antiviral genes at the earliest time point.
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Affiliation(s)
- Siddappa Manjunath
- Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, India; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 5021 Health Information and Translational Sciences (HITS), 410 West 10th Street, Indianapolis, IN, 46202, USA
| | - Shikha Saxena
- Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, India
| | - Bina Mishra
- Division of Biological Products, Indian Veterinary Research Institute, Izatnagar 243122, India
| | - Lakshman Santra
- Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, India
| | - Amit Ranjan Sahu
- Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, India
| | - Sajad Ahmed Wani
- Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, India
| | - Ashok Kumar Tiwari
- Division of Biological Standardization, Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh 243122, India
| | - Bishnu Prasad Mishra
- Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, India
| | - Raj Kumar Singh
- Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar 243122, India
| | - Sarath Chandra Janga
- School of Informatics and Computing, Indiana University Purdue University, 719 Indiana Ave Ste 319, Walker Plaza Building, Indianapolis, IN 46202, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 5021 Health Information and Translational Sciences (HITS), 410 West 10th Street, Indianapolis, IN, 46202, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Medical Research and Library Building, 975 West Walnut Street, Indianapolis, IN 46202, USA.
| | - Gandham Ravi Kumar
- National Institute of Animal Biotechnology, Gachibowli, Hyderabad 500032, India.
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Liu S, Kang X, Catacchio CR, Liu M, Fang L, Schroeder SG, Li W, Rosen BD, Iamartino D, Iannuzzi L, Sonstegard TS, Van Tassell CP, Ventura M, Low WY, Williams JL, Bickhart DM, Liu GE. Computational detection and experimental validation of segmental duplications and associated copy number variations in water buffalo ( Bubalus bubalis ). Funct Integr Genomics 2019; 19:409-419. [PMID: 30734132 DOI: 10.1007/s10142-019-00657-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 12/13/2018] [Accepted: 01/09/2019] [Indexed: 01/25/2023]
Abstract
Duplicated sequences are an important source of gene evolution and structural variation within mammalian genomes. Using a read depth approach based on next-generation sequencing, we performed a genome-wide analysis of segmental duplications (SDs) and associated copy number variations (CNVs) in the water buffalo (Bubalus bubalis). By aligning short reads of Olimpia (the reference water buffalo) to the UMD3.1 cattle genome, we identified 1,038 segmental duplications comprising 44.6 Mb (equivalent to ~1.73% of the cattle genome) of the autosomal and X chromosomal sequence in the buffalo genome. We experimentally validated 70.3% (71/101) of these duplications using fluorescent in situ hybridization. We also detected a total of 1,344 CNV regions across 14 additional water buffaloes, amounting to 59.8 Mb of variable sequence or the equivalent of 2.2% of the cattle genome. The CNV regions overlap 1,245 genes that are significantly enriched for specific biological functions including immune response, oxygen transport, sensory system and signal transduction. Additionally, we performed array Comparative Genomic Hybridization (aCGH) experiments using the 14 water buffaloes as test samples and Olimpia as the reference. Using a linear regression model, a high Pearson correlation (r = 0.781) was observed between the log2 ratios between copy number estimates and the log2 ratios of aCGH probes. We further designed Quantitative PCR assays to confirm CNV regions within or near annotated genes and found 74.2% agreement with our CNV predictions. These results confirm sub-chromosome-scale structural rearrangements present in the cattle and water buffalo. The information on genome variation that will be of value for evolutionary and phenotypic studies, and may be useful for selective breeding of both species.
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Affiliation(s)
- Shuli Liu
- USDA-ARS, Animal Genomics and Improvement Laboratory, Beltsville, Maryland, 20705, USA
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Xiaolong Kang
- USDA-ARS, Animal Genomics and Improvement Laboratory, Beltsville, Maryland, 20705, USA
- College of Agriculture, Ningxia University, Yinchuan, 750021, China
| | | | - Mei Liu
- USDA-ARS, Animal Genomics and Improvement Laboratory, Beltsville, Maryland, 20705, USA
- College of Animal Science and Technology, Shaanxi Key Laboratory of Agricultural Molecular Biology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Lingzhao Fang
- USDA-ARS, Animal Genomics and Improvement Laboratory, Beltsville, Maryland, 20705, USA
- Department of Animal and Avian Sciences, University of Maryland, College Park, Maryland, 20742, USA
| | - Steven G Schroeder
- USDA-ARS, Animal Genomics and Improvement Laboratory, Beltsville, Maryland, 20705, USA
| | - Wenli Li
- The Cell Wall Utilization and Biology Laboratory, US Dairy Forage Research Center, USDA, ARS, Madison, WI 53706, USA
| | - Benjamin D Rosen
- USDA-ARS, Animal Genomics and Improvement Laboratory, Beltsville, Maryland, 20705, USA
| | - Daniela Iamartino
- AIA-LGS, Associazione Italiana Allevatori - Laboratorio Genetica e Servizi, Via Bergamo 292, 26100 (CR), Cremona, Italy
- Parco Tecnologico Padano, Via Einstein, Polo Universitario, 26900, Lodi, Italy
| | - Leopoldo Iannuzzi
- Laboratory of Animal Cytogenetics and Gene Mapping, Nationa Research Council (CNR), ISPAAM, Via Argine 1085, 80147, Naples, Italy
| | | | - Curtis P Van Tassell
- USDA-ARS, Animal Genomics and Improvement Laboratory, Beltsville, Maryland, 20705, USA
| | - Mario Ventura
- Department of Biology, University of Bari, 70126, Bari, Italy
| | - Wai Yee Low
- Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - John L Williams
- Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - Derek M Bickhart
- The Cell Wall Utilization and Biology Laboratory, US Dairy Forage Research Center, USDA, ARS, Madison, WI 53706, USA.
| | - George E Liu
- USDA-ARS, Animal Genomics and Improvement Laboratory, Beltsville, Maryland, 20705, USA.
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Wang H, Chai Z, Hu D, Ji Q, Xin J, Zhang C, Zhong J. A global analysis of CNVs in diverse yak populations using whole-genome resequencing. BMC Genomics 2019; 20:61. [PMID: 30658572 PMCID: PMC6339343 DOI: 10.1186/s12864-019-5451-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 01/11/2019] [Indexed: 12/01/2022] Open
Abstract
Background Genomic structural variation represents a source for genetic and phenotypic variation, which may be subject to selection during the environmental adaptation and population differentiation. Here, we described a genome-wide analysis of copy number variations (CNVs) in 16 populations of yak based on genome resequencing data and CNV-based cluster analyses of these populations. Results In total, we identified 51,461 CNV events and defined 3174 copy number variation regions (CNVRs) that covered 163.8 Mb (6.2%) of yak genome with more “loss” events than both “gain” and “both” events, and we confirmed 31 CNVRs in 36 selected yaks using quantitative PCR. Of the total 163.8 Mb CNVR coverage, a 10.8 Mb region of high-confidence CNVRs directly overlapped with the 52.9 Mb of segmental duplications, and we confirmed their uneven distributions across chromosomes. Furthermore, functional annotation indicated that the CNVR-harbored genes have a considerable variety of molecular functions, including immune response, glucose metabolism, and sensory perception. Notably, some of the identified CNVR-harbored genes associated with adaptation to hypoxia (e.g., DCC, MRPS28, GSTCD, MOGAT2, DEXI, CIITA, and SMYD1). Additionally, cluster analysis, based on either individuals or populations, showed that the CNV clustering was divided into two origins, indicating that some yak CNVs are likely to arisen independently in different populations and contribute to population difference. Conclusions Collectively, the results of the present study advanced our understanding of CNV as an important type of genomic structural variation in yak, and provide a useful genomic resource to facilitate further research on yak evolution and breeding. Electronic supplementary material The online version of this article (10.1186/s12864-019-5451-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hui Wang
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, 610000, People's Republic of China
| | - Zhixin Chai
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, 610000, People's Republic of China
| | - Dan Hu
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, 610000, People's Republic of China
| | - Qiumei Ji
- State Key Laboratory of Barley and Yak Germplasm Resources and Genetic Improvement, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850000, People's Republic of China
| | - Jinwei Xin
- State Key Laboratory of Barley and Yak Germplasm Resources and Genetic Improvement, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850000, People's Republic of China
| | - Chengfu Zhang
- State Key Laboratory of Barley and Yak Germplasm Resources and Genetic Improvement, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850000, People's Republic of China
| | - Jincheng Zhong
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, 610000, People's Republic of China.
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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] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 12/29/2018] [Indexed: 12/22/2022]
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Goshu HA, Chu M, Wu X, Pengjia B, Ding XZ, Yan P. Association study and expression analysis of GPC1 gene copy number variation in Chinese Datong yak ( Bos grunniens) breed. Italian Journal of Animal Science 2019. [DOI: 10.1080/1828051x.2019.1586456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Habtamu Abera Goshu
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Science, Lanzhou, Gansu, China
- Animal Science Department, Oromia Agricultural Research Institute, Bako Agricultural Research Center, Bako, Ethiopia
| | - Min Chu
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Science, Lanzhou, Gansu, China
| | - Xiaoyun Wu
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Science, Lanzhou, Gansu, China
| | - Bao Pengjia
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Science, Lanzhou, Gansu, China
| | - Xue Zhi Ding
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Science, Lanzhou, Gansu, China
| | - Ping Yan
- Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Science, Lanzhou, Gansu, China
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Di Gerlando R, Sardina MT, Tolone M, Sutera AM, Mastrangelo S, Portolano B. Genome-wide detection of copy-number variations in local cattle breeds. Anim Prod Sci 2019. [DOI: 10.1071/an17603] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The aim of the present study was to identify copy-number variations (CNVs) in Cinisara (CIN) and Modicana (MOD) cattle breeds on the basis of signal intensity (logR ratio) and B allele frequency of each marker, using Illumina’s BovineSNP50K Genotyping BeadChip. The CNVs were detected with the PennCNV and SVS 8.7.0 software and were aggregated into CNV regions (CNVRs). PennCNV identified 487 CNVs in CIN that aggregated into 86 CNVRs, and 424 CNVs in MOD that aggregated into 81 CNVRs. SVS identified a total of 207 CNVs in CIN that aggregated into 39 CNVRs, and 181 CNVs in MOD that aggregated into 41 CNVRs. The CNVRs identified with the two softwares contained 29 common CNVRs in CIN and 17 common CNVRs in MOD. Only a small number of CNVRs identified in the present study have been identified elsewhere, probably because of the limitations of the array used. In total, 178 and 208 genes were found within the CNVRs of CIN and MOD respectively. Gene Ontology and KEGG pathway analyses showed that several of these genes are involved in milk production, reproduction and behaviour, the immune response, and resistance/susceptibility to infectious diseases. Our results have provided significant information for the construction of more-complete CNV maps of the bovine genome and offer an important resource for the investigation of genomic changes and traits of interest in the CIN and MOD cattle breeds. Our results will also be valuable for future studies and constitute a preliminary report of the CNV distribution resources in local cattle genomes.
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Zhang B, Chang L, Lan X, Asif N, Guan F, Fu D, Li B, Yan C, Zhang H, Zhang X, Huang Y, Chen H, Yu J, Li S. Genome-wide definition of selective sweeps reveals molecular evidence of trait-driven domestication among elite goat (Capra species) breeds for the production of dairy, cashmere, and meat. Gigascience 2018; 7:5079660. [PMID: 30165633 PMCID: PMC6287099 DOI: 10.1093/gigascience/giy105] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 08/17/2018] [Indexed: 02/07/2023] Open
Abstract
Background The domestication of wild goats and subsequent intensive trait-driven crossing, inbreeding, and selection have led to dramatic phenotypic purification and intermediate breeds for the high-quality production of dairy, cashmere wool, and meat. Genomic resequencing provides a powerful means for the direct identification of trait-associated sequence variations that underlie molecular mechanisms of domestication. Results Here, we report our effort to define such variations based on data from domestic goat breeds (Capra aegagrus hircus; five each) selected for dairy, cashmere, and meat production in reference to their wild ancestors, the Sindh ibex (Capra aegagrus blythi; two) and the Markhor (Capra falconeri; two). Using ∼24 million high-quality single nucleotide polymorphisms (SNPs), ∼1.9 million insertions/deletions, and 2,317 copy number variations, we define SNP-desert-associated genes (SAGs), domestic-associated genes (DAGs), and trait-associated genes (TAGs) and attempt to associate them with quantitative trait loci (QTL), domestication, and agronomic traits. A greater majority of SAGs shared by all domestic breeds are classified into Gene Ontology categories of metabolism and cell cycle. DAGs, together with some SAGs, are most relevant to behavior, immunity, and trait specificity. Whereas, TAGs such as growth differentiation factor 5 and fibroblast growth factor 5 for bone and hair growth, respectively, appear to be directly involved in growth regulation. Conclusions When investigating the divergence of Capra populations, the sequence variations and candidate function-associated genes we have identified provide valuable molecular markers for trait-driven genetic mapping and breeding.
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Affiliation(s)
- Bao Zhang
- College of Medicine & Forensic, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Liao Chang
- College of Medicine & Forensic, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Xianyong Lan
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, People's Republic of China
| | - Nadeem Asif
- Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan
| | - Fanglin Guan
- College of Medicine & Forensic, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Dongke Fu
- College of Medicine & Forensic, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Bo Li
- College of Medicine & Forensic, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Chunxia Yan
- College of Medicine & Forensic, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Hongbo Zhang
- College of Medicine & Forensic, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Xiaoyan Zhang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, People's Republic of China
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, People's Republic of China
| | - Hong Chen
- College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, 712100, People's Republic of China
| | - Jun Yu
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, University of Chinese Academy of Sciences, Beijing, 100101, People's Republic of China
| | - Shengbin Li
- College of Medicine & Forensic, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
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Drobik-Czwarno W, Wolc A, Fulton JE, Dekkers JCM. Detection of copy number variations in brown and white layers based on genotyping panels with different densities. Genet Sel Evol 2018; 50:54. [PMID: 30400769 PMCID: PMC6219011 DOI: 10.1186/s12711-018-0428-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 10/23/2018] [Indexed: 11/13/2022] Open
Abstract
Background Copy number variations (CNV) are an important source of genetic variation that has gained increasing attention over the last couple of years. In this study, we performed CNV detection and functional analysis for 18,719 individuals from four pure lines and one commercial cross of layer chickens. Samples were genotyped on four single nucleotide polymorphism (SNP) genotyping platforms, i.e. the Illumina 42K, Affymetrix 600K, and two different customized Affymetrix 50K chips. CNV recovered from the Affymetrix chips were identified by using the Axiom® CNV Summary Tools and PennCNV software and those from the Illumina chip were identified by using the cnvPartition in the Genome Studio software. Results The mean number of CNV per individual varied from 0.50 to 4.87 according to line or cross and size of the SNP genotyping set. The length of the detected CNV across all datasets ranged from 1.2 kb to 3.2 Mb. The number of duplications exceeded the number of deletions for most lines. Between the lines, there were considerable differences in the number of detected CNV and their distribution. Most of the detected CNV had a low frequency, but 19 CNV were identified with a frequency higher than 5% in birds that were genotyped on the 600K panel, with the most common CNV being detected in 734 birds from three lines. Conclusions Commonly used SNP genotyping platforms can be used to detect segregating CNV in chicken layer lines. The sample sizes for this study enabled a detailed characterization of the CNV landscape within commercially relevant lines. The size of the SNP panel used affected detection efficiency, with more CNV detected per individual on the higher density 600K panel. In spite of the high level of inter-individual diversity and a large number of CNV observed within individuals, we were able to detect 19 frequent CNV, of which, 57.9% overlapped with annotated genes and 89% overlapped with known quantitative trait loci. Electronic supplementary material The online version of this article (10.1186/s12711-018-0428-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Wioleta Drobik-Czwarno
- Department of Animal Science, Iowa State University, 806 Stange Road, 239E Kildee Hall, Ames, IA, 50010, USA. .,Department of Animal Genetics and Breeding, Faculty of Animal Science, Warsaw University of Life Sciences, Ciszewskiego 8, 02-786, Warsaw, Poland.
| | - Anna Wolc
- Department of Animal Science, Iowa State University, 806 Stange Road, 239E Kildee Hall, Ames, IA, 50010, USA.,Hy-Line International, 2583 240th Street, Dallas Center, IA, 50063, USA
| | - Janet E Fulton
- Hy-Line International, 2583 240th Street, Dallas Center, IA, 50063, USA
| | - Jack C M Dekkers
- Department of Animal Science, Iowa State University, 806 Stange Road, 239E Kildee Hall, Ames, IA, 50010, USA
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Liu M, Zhou Y, Rosen BD, Van Tassell CP, Stella A, Tosser-Klopp G, Rupp R, Palhière I, Colli L, Sayre B, Crepaldi P, Fang L, Mészáros G, Chen H, Liu GE; ADAPTmap Consortium. Diversity of copy number variation in the worldwide goat population. Heredity (Edinb) 2019; 122:636-46. [PMID: 30401973 DOI: 10.1038/s41437-018-0150-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 09/09/2018] [Accepted: 09/18/2018] [Indexed: 11/08/2022] Open
Abstract
Goats (Capra hircus) are an important farm animal species. Copy number variation (CNV) represents a major source of genomic structural variation. We investigated the diversity of CNV distribution in goats using CaprineSNP50 genotyping data generated by the ADAPTmap Project. We identified 6286 putative CNVs in 1023 samples from 50 goat breeds using PennCNV. These CNVs were merged into 978 CNV regions, spanning ~262 Mb of total length and corresponding to ~8.96% of the goat genome. We then divided the samples into six subgroups per geographic distribution and constructed a comparative CNV map. Our results revealed a population differentiation in CNV across different geographical areas, including Western Asia, Eastern Mediterranean, Alpine & Northern Europe, Madagascar, Northwestern Africa, and Southeastern Africa groups. The results of a cluster heatmap analysis based on the CNV count per individual across different groups was generally consistent with the one generated from the SNP data, likely reflecting the population history of different goat breeds. We sought to determine the gene content of these CNV events and found several important CNV-overlapping genes (e.g. EDNRA, ADAMTS20, ASIP, KDM5B, ADAM8, DGAT1, CHRNB1, CLCN7, and EXOSC4), which are involved in local adaptations such as coat color, muscle development, metabolic processes, osteopetrosis, and embryonic development. Therefore, this research generated an extensive CNV map in the worldwide population of goat, which offers novel insight into the goat genome and its functional annotation.
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Gong J, Cheng T, Wu Y, Yang X, Feng Q, Mita K. Genome-wide patterns of copy number variations in Spodoptera litura. Genomics 2018; 111:1231-1238. [PMID: 30114452 DOI: 10.1016/j.ygeno.2018.08.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 07/26/2018] [Accepted: 08/04/2018] [Indexed: 01/06/2023]
Abstract
Spodoptera litura is a polyphagous pest and can feed on more than 100 species of plants, causing great damage to agricultural production. The SNP results showed that there were gene exchanges between different regions. To explore the variations of larger segments in S. litura genome, we used genome resequencing samples from 14 regions of China, India, and Japan to study the copy number variations (CNVs). We identified 3976 CNV events and 1581 unique copy number variation regions (CNVRs) occupying the 108.5 Mb genome of S. litura. A total of 5527 genes that overlapped with CNVRs were detected. Selection signal analysis identified 19 shared CNVRs and 105 group-specific CNVRs, whose related genes were involved in various biological processes in S. litura. We constructed the first CNVs map in S. litura genome, and our findings will be valuable for understanding the genomic variations and population differences of S. litura.
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Affiliation(s)
- Jiao Gong
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400716, China
| | - Tingcai Cheng
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400716, China; Chongqing Engineering and Technology Research Center for Novel Silk Materials, Southwest University, 2, Tiansheng Road, Beibei, Chongqing 400715, China.
| | - Yuqian Wu
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400716, China
| | - Xi Yang
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400716, China
| | - Qili Feng
- Guangzhou Key Laboratory of Insect Development Regulation and Application Research, South China Normal University, Guangzhou 510631, China
| | - Kazuei Mita
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing 400716, China
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Bhanuprakash V, Chhotaray S, Pruthviraj DR, Rawat C, Karthikeyan A, Panigrahi M. Copy number variation in livestock: A mini review. Vet World 2018; 11:535-541. [PMID: 29805222 PMCID: PMC5960796 DOI: 10.14202/vetworld.2018.535-541] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Accepted: 03/31/2018] [Indexed: 01/22/2023] Open
Abstract
Copy number variation (CNV) is a phenomenon in which sections of the genome, ranging from one kilo base pair (Kb) to several million base pairs (Mb), are repeated and the number of repeats vary between the individuals in a population. It is an important source of genetic variation in an individual which is now being utilized rather than single nucleotide polymorphisms (SNPs), as it covers the more genomic region. CNVs alter the gene expression and change the phenotype of an individual due to deletion and duplication of genes in the copy number variation regions (CNVRs). Earlier, researchers extensively utilized SNPs as the main source of genetic variation. But now, the focus is on identification of CNVs associated with complex traits. With the recent advances and reduction in the cost of sequencing, arrays are developed for genotyping which cover the maximum number of SNPs at a time that can be used for detection of CNVRs and underlying quantitative trait loci (QTL) for the complex traits to accelerate genetic improvement. CNV studies are also being carried out to understand the evolutionary mechanism in the domestication of livestock and their adaptation to the different environmental conditions. The main aim of the study is to review the available data on CNV and its role in genetic variation among the livestock.
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Affiliation(s)
- V Bhanuprakash
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
| | - Supriya Chhotaray
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
| | - D R Pruthviraj
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
| | - Chandrakanta Rawat
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
| | - A Karthikeyan
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
| | - Manjit Panigrahi
- Division of Animal Genetics, ICAR - Indian Veterinary Research Institute, Izatnagar, Bareilly - 243122, Uttar Pradesh, India
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Karimi K, Esmailizadeh A, Wu DD, Gondro C. Mapping of genome-wide copy number variations in the Iranian indigenous cattle using a dense SNP data set. Anim Prod Sci 2018. [DOI: 10.1071/an16384] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The objective of this study was to present the first map of the copy number variations (CNVs) in Iranian indigenous cattle based on a high-density single nucleotide polymorphism (SNP) dataset. A total of 90 individuals were genotyped using the Illumina BovineHD BeadChip containing 777 962 SNPs. The QuantiSNP algorithm was used to perform a genome-wide CNV detection across autosomal genome. After merging the overlapping CNV, a total of 221 CNV regions were identified encompassing 36.4 Mb or 1.44% of the bovine autosomal genome. The length of the CNV regions ranged from 3.5 to 2252.8 Kb with an average of 163.8 Kb. These regions included 147 loss (66.52%) and 74 gain (33.48%) events containing a total of 637 annotated Ensembl genes. Gene ontology analysis revealed that most of genes in the CNV regions were involved in environmental responses, disease susceptibility and immune system functions. Furthermore, 543 of these genes corresponded to the human orthologous genes, which involved in a wide range of biological functions. Altogether, 73% of the 221 CNV regions overlapped either completely or partially with those previously reported in other cattle studies. Moreover, novel CNV regions involved several quantitative trait loci (QTL)-related to adaptative traits of Iranian indigenous cattle. These results provided a basis to conduct future studies on association between CNV regions and phenotypic variations in the Iranian indigenous cattle.
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Abstract
Differences between genomes can be due to single nucleotide variants (SNPs), translocations, inversions and copy number variants (CNVs, gain or loss of DNA). The latter can range from sub-microscopic events to complete chromosomal aneuploidies. Small CNVs are often benign but those larger than 250 kb are strongly associated with morbid consequences such as developmental disorders and cancer. Detecting CNVs within and between populations is essential to better understand the plasticity of our genome and to elucidate its possible contribution to disease or phenotypic traits.While the link between SNPs and disease susceptibility has been well studied, to date there are still very few published CNV genome-wide association studies; probably owing to the fact that CNV analysis remains a slightly more complex task than SNP analysis (both in term of bioinformatics workflow and uncertainty in the CNV calling leading to high false positive rates and unknown false negative rates). This chapter aims at explaining computational methods for the analysis of CNVs, ranging from study design, data processing and quality control, up to genome-wide association study with clinical traits.
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Affiliation(s)
- Aurélien Macé
- Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland.,Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Zoltán Kutalik
- Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Abstract
Copy number variations (CNVs) are important large-scale variants. They are widespread in the genome and may contribute to phenotypic variation. Detection and characterization of CNVs can provide new insights into the genetic basis of important traits. Here, we perform whole-genome short read sequence analysis to identify CNVs in two indigenous and commercial chicken breeds to evaluate the impact of the identified CNVs on breed-specific traits. After filtration, a total of 12 955 CNVs spanning (on average) about 9.42% of the chicken genome were found that made up 5467 CNV regions (CNVRs). Chicken quantitative trait loci (QTL) datasets and Ensembl gene annotations were used as resources for the estimation of potential phenotypic effects of our CNVRs on breed-specific traits. In total, 34% of our detected CNVRs were also detected in earlier CNV studies. These CNVRs partly overlap several previously reported QTL and gene ontology terms associated with some important traits, including shank length QTL in Creeper-specific CNVRs and body weight and egg production characteristics, as well as muscle and body organ growth, in the Arian commercial breed. Our findings provide new insights into the genomic structure of the chicken genome for an improved understanding of the potential roles of CNVRs in differentiating between breeds or lines.
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Affiliation(s)
- Saeed S Sohrabi
- a Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, PB 76169-133, Kerman, Iran.,b Young Researchers Society, Shahid Bahonar University of Kerman, PB 76169-133, Kerman, Iran
| | - Mohammadreza Mohammadabadi
- a Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, PB 76169-133, Kerman, Iran
| | - Dong-Dong Wu
- c State Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,d Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Ali Esmailizadeh
- a Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, PB 76169-133, Kerman, Iran.,c State Key Laboratory of Genetic Resources and Evolution & Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
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Abstract
In this study, we report evidence of a novel duplication of Melanocortin receptor 1 (Mc1r) in the cavefish genome. This locus was discovered following the observation of excessive allelic diversity in a ∼820 bp fragment of Mc1r amplified via degenerate PCR from a natural population of Astyanax aeneus fish from Guerrero, Mexico. The cavefish genome reveals the presence of two closely related Mc1r open reading frames separated by a 1.46 kb intergenic region. One open reading frame corresponds to the previously reported Mc1r receptor, and the other open reading frame (duplicate copy) is 975 bp in length, encoding a receptor of 325 amino acids. Sequence similarity analyses position both copies in the syntenic region of the single Mc1r locus in 16 representative craniate genomes spanning bony fish (including Astyanax) to mammals, suggesting we discovered tandem duplicates of this important gene. The two Mc1r copies share ∼89% sequence similarity and, within Astyanax, are more similar to one another compared to other melanocortin family members. Future studies will inform the precise functional significance of the duplicated Mc1r locus and if this novel copy number variant may have adaptive significance for the Astyanax lineage.
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Affiliation(s)
- Joshua B Gross
- a Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA
| | - James Weagley
- b Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN 55108, USA
| | - Bethany A Stahl
- a Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Li Ma
- a Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Luis Espinasa
- c School of Science, Marist College, Poughkeepsie, NY 12601, USA
| | - Suzanne E McGaugh
- b Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN 55108, USA
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Yang M, Lv J, Zhang L, Li M, Zhou Y, Lan X, Lei C, Chen H. Association study and expression analysis of CYP4A11 gene copy number variation in Chinese cattle. Sci Rep 2017; 7:46599. [PMID: 28492277 DOI: 10.1038/srep46599] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [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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Gao Y, Jiang J, Yang S, Hou Y, Liu GE, Zhang S, Zhang Q, Sun D. CNV discovery for milk composition traits in dairy cattle using whole genome resequencing. BMC Genomics 2017; 18:265. [PMID: 28356085 PMCID: PMC5371188 DOI: 10.1186/s12864-017-3636-3] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2016] [Accepted: 03/17/2017] [Indexed: 01/08/2023] Open
Abstract
Background Copy number variations (CNVs) are important and widely distributed in the genome. CNV detection opens a new avenue for exploring genes associated with complex traits in humans, animals and plants. Herein, we present a genome-wide assessment of CNVs that are potentially associated with milk composition traits in dairy cattle. Results In this study, CNVs were detected based on whole genome re-sequencing data of eight Holstein bulls from four half- and/or full-sib families, with extremely high and low estimated breeding values (EBVs) of milk protein percentage and fat percentage. The range of coverage depth per individual was 8.2–11.9×. Using CNVnator, we identified a total of 14,821 CNVs, including 5025 duplications and 9796 deletions. Among them, 487 differential CNV regions (CNVRs) comprising ~8.23 Mb of the cattle genome were observed between the high and low groups. Annotation of these differential CNVRs were performed based on the cattle genome reference assembly (UMD3.1) and totally 235 functional genes were found within the CNVRs. By Gene Ontology and KEGG pathway analyses, we found that genes were significantly enriched for specific biological functions related to protein and lipid metabolism, insulin/IGF pathway-protein kinase B signaling cascade, prolactin signaling pathway and AMPK signaling pathways. These genes included INS, IGF2, FOXO3, TH, SCD5, GALNT18, GALNT16, ART3, SNCA and WNT7A, implying their potential association with milk protein and fat traits. In addition, 95 CNVRs were overlapped with 75 known QTLs that are associated with milk protein and fat traits of dairy cattle (Cattle QTLdb). Conclusions In conclusion, based on NGS of 8 Holstein bulls with extremely high and low EBVs for milk PP and FP, we identified a total of 14,821 CNVs, 487 differential CNVRs between groups, and 10 genes, which were suggested as promising candidate genes for milk protein and fat traits. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3636-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yahui Gao
- Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Jianping Jiang
- Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Shaohua Yang
- Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Yali Hou
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, Md, 20705, USA
| | - Shengli Zhang
- Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Qin Zhang
- Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China
| | - Dongxiao Sun
- Key Laboratory of Animal Genetics and Breeding of Ministry of Agriculture, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
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