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Recuerda M, Campagna L. How structural variants shape avian phenotypes: Lessons from model systems. Mol Ecol 2024; 33:e17364. [PMID: 38651830 DOI: 10.1111/mec.17364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 04/04/2024] [Accepted: 04/09/2024] [Indexed: 04/25/2024]
Abstract
Despite receiving significant recent attention, the relevance of structural variation (SV) in driving phenotypic diversity remains understudied, although recent advances in long-read sequencing, bioinformatics and pangenomic approaches have enhanced SV detection. We review the role of SVs in shaping phenotypes in avian model systems, and identify some general patterns in SV type, length and their associated traits. We found that most of the avian SVs so far identified are short indels in chickens, which are frequently associated with changes in body weight and plumage colouration. Overall, we found that relatively short SVs are more frequently detected, likely due to a combination of their prevalence compared to large SVs, and a detection bias, stemming primarily from the widespread use of short-read sequencing and associated analytical methods. SVs most commonly involve non-coding regions, especially introns, and when patterns of inheritance were reported, SVs associated primarily with dominant discrete traits. We summarise several examples of phenotypic convergence across different species, mediated by different SVs in the same or different genes and different types of changes in the same gene that can lead to various phenotypes. Complex rearrangements and supergenes, which can simultaneously affect and link several genes, tend to have pleiotropic phenotypic effects. Additionally, SVs commonly co-occur with single-nucleotide polymorphisms, highlighting the need to consider all types of genetic changes to understand the basis of phenotypic traits. We end by summarising expectations for when long-read technologies become commonly implemented in non-model birds, likely leading to an increase in SV discovery and characterisation. The growing interest in this subject suggests an increase in our understanding of the phenotypic effects of SVs in upcoming years.
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Affiliation(s)
- María Recuerda
- Fuller Evolutionary Biology Program, Cornell Lab of Ornithology, Ithaca, New York, USA
| | - Leonardo Campagna
- Fuller Evolutionary Biology Program, Cornell Lab of Ornithology, Ithaca, New York, USA
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA
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2
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Wang R, Lu Y, Qi J, Xi Y, Shen Z, Twumasi G, Bai L, Hu J, Wang J, Li L, Liu H. Genome-wide association analysis explores the genetic loci of amino acid content in duck's breast muscle. BMC Genomics 2024; 25:486. [PMID: 38755558 PMCID: PMC11097541 DOI: 10.1186/s12864-024-10287-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 04/05/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Amino acids are the basic components of protein and an important index to evaluate meat quality. With the rapid development of genomics, candidate regions and genes affecting amino acid content in livestock and poultry have been gradually revealed. Hence, genome-wide association study (GWAS) can be used to screen candidate loci associated with amino acid content in duck meat. RESULT In the current study, the content of 16 amino acids was detected in 358 duck breast muscles. The proportion of Glu to the total amino acid content was relatively high, and the proportion was 0.14. However, the proportion of Met content was relatively low, at just 0.03. By comparative analysis, significant differences were found between males and females in 3 amino acids, including Ser, Met, and Phe. In addition, 12 SNPs were significantly correlated with Pro content by GWAS analysis, and these SNPs were annotated by 7 protein-coding genes; 8 significant SNPs were associated with Tyr content, and these SNPs were annotated by 6 protein-coding genes. At the same time, linkage disequilibrium (LD) analysis was performed on these regions with significant signals. The results showed that three SNPs in the 55-56 Mbp region of chromosome 3 were highly correlated with the leader SNP (chr3:55526954) that affected Pro content (r2 > 0.6). Similarly, LD analysis showed that there were three SNPs in the 21.2-21.6 Mbp region of chromosome 13, which were highly correlated with leader SNP (chr13:21421661) (r2 > 0.6). Moreover, Through functional enrichment analysis of all candidate genes. The results of GO enrichment analysis showed that several significant GO items were associated with amino acid transport function, including amino acid transmembrane transport and glutamine transport. The results further indicate that these candidate genes are closely associated with amino acid transport. Among them, key candidate genes include SLC38A1. For KEGG enrichment analysis, CACNA2D3 and CACNA1D genes were covered by significant pathways. CONCLUSION In this study, GWAS analysis found a total of 28 significant SNPs affecting amino acid content. Through gene annotation, a total of 20 candidate genes were screened. In addition, Through LD analysis and enrichment analysis, we considered that SERAC1, CACNA2D3 and SLC38A1 genes are important candidate genes affecting amino acid content in duck breast muscle.
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Affiliation(s)
- Rui Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Yinjuan Lu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Jingjing Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Yang Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Zhenyang Shen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Grace Twumasi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Lili Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Jiwei Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Jiwen Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Liang Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China
| | - Hehe Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, Sichuan, P.R. China.
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, Wenjiang District, 611130, Chengdu, Sichuan, P.R. China.
- National Key Laboratory for Swine and Poultry Breeding, Chengdu, P.R. China.
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3
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Singh VK, Singh S, Nandhini PB, Bhatia AK, Dixit SP, Ganguly I. Comparative genomic diversity analysis of copy number variations (CNV) in indicine and taurine cattle thriving in Europe and Indian subcontinent. Anim Biotechnol 2023; 34:3483-3494. [PMID: 36592947 DOI: 10.1080/10495398.2022.2162910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Copy number variations (CNVs) include deletions, duplications, and insertions that are larger than 50 bp in size causing structural variation responsible for diversity, adaptation, and breed development. Indian cattle breeds are highly diverse from the taurine breeds. The pattern of CNVRs in 191 animals belonging to 39 cattle breeds (four Indicine and 35 Taurine) was studied based on Illumina 777K BovineHD chip data. The Indicine breeds revealed 2590 CNVs and 335 copy number variation regions (CNVRs) in autosomes. Out of the identified CNVs, 50 were found to be novel. Structure analysis revealed admixed nature of Siri. Neighbor joining tree from CNVR data showed that hot (Kankrej and Hallikar) and cold (Ladakhi and Siri) adapted cattle breeds clustered separately. CNVR of Indian and European breeds revealed that Balkan and Italian breeds of Podolian group are admixed with Indian cattle breeds corroborating indicine introgression (6.1-13.5%). CNVRs spanning the regions of olfactory receptors and immune system genes were identified. AMOVA revealed 9% variation among populations which is 2% greater than SNP based studies showing higher inclusion of variation by CNVR. Detailed analysis of CNVs/CNVRs in Indian cattle adapted to hot and cold climate, and their diversity among worldwide cattle is presented in this study.
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Affiliation(s)
- V K Singh
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, India
| | - S Singh
- Animal Genetics Division, ICAR-National Bureau of Animal Genetic Resources, Karnal, India
| | - P B Nandhini
- Animal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal, India
| | - A K Bhatia
- Animal Genetic Resources Division, ICAR-National Bureau of Animal Genetic Resources, Karnal, India
| | - S P Dixit
- Animal Genetics Division, ICAR-National Bureau of Animal Genetic Resources, Karnal, India
| | - I Ganguly
- Animal Genetics Division, ICAR-National Bureau of Animal Genetic Resources, Karnal, India
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4
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Copy Number Variation of the SOX6 Gene and Its Associations with Growth Traits in Ashidan Yak. Animals (Basel) 2022; 12:ani12223074. [PMID: 36428302 PMCID: PMC9686495 DOI: 10.3390/ani12223074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/04/2022] [Accepted: 11/07/2022] [Indexed: 11/09/2022] Open
Abstract
Copy number variation (CNV) is a fundamental type of structural variation of the genome affecting the economic traits of livestock. The SOX6 gene (sex-determining region Y-box 6), as a transcription factor, has multiple functions with regard to sex determination, embryonic growth, the nervous system development, as well as bone, and various organ formation. This study employed quantitative real-time fluorescence quota PCR (qPCR) for detecting the SOX6-CNV of the 311 Ashidan yaks and analyzed the correlation of the SOX6-CNV with four phenotypes (including body weight, withers height, body length, and chest girth) of the yaks aged 6, 12, 18, and 30 months using ANOVA and multiple comparisons. Furthermore, the SOX6 gene expression was identified in seven different tissues of the yaks. The experiment results demonstrated the expression of SOX6 in each tissue, and the kidney and muscle tissue were found to have higher relative expression levels. Based on the processing by IBM SPSS software, SOX6-CNV was significantly correlated with the chest girth of the 6-months old yaks (p < 0.05) and 30-months yaks (p < 0.05), and withers height of 6 months yaks (p < 0.05) and 18-months yaks (p < 0.05), as well as the normal type of CNV, was chosen for yak breeding. In conclusion, SOX6 might be prominently involved in promoting growth and development of yaks, suggesting that the SOX6 gene can be used in breeding yaks by molecular marker-assisted selection (MAS). The study also offered some important insights into the references and clues for the genetic breeding of yaks.
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5
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Zhang J, Nie C, Li X, Zhao X, Jia Y, Han J, Chen Y, Wang L, Lv X, Yang W, Li K, Zhang J, Ning Z, Bao H, Zhao C, Li J, Qu L. Comprehensive analysis of structural variants in chickens using PacBio sequencing. Front Genet 2022; 13:971588. [PMID: 36338955 PMCID: PMC9632285 DOI: 10.3389/fgene.2022.971588] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 09/08/2022] [Indexed: 11/13/2022] Open
Abstract
Structural variants (SVs) are one of the main sources of genetic variants and have a greater impact on phenotype evolution, disease susceptibility, and environmental adaptations than single nucleotide polymorphisms (SNPs). However, SVs remain challenging to accurately type, with several detection methods showing different limitations. Here, we explored SVs from 10 different chickens using PacBio technology and detected 49,501 high-confidence SVs. The results showed that the PacBio long-read detected more SVs than Illumina short-read technology genomes owing to some SV sites on chromosomes, which are related to chicken growth and development. During chicken domestication, some SVs beneficial to the breed or without any effect on the genomic function of the breed were retained, whereas deleterious SVs were generally eliminated. This study could facilitate the analysis of the genetic characteristics of different chickens and provide a better understanding of their phenotypic characteristics at the SV level, based on the long-read sequencing method. This study enriches our knowledge of SVs in chickens and improves our understanding of chicken genomic diversity.
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Affiliation(s)
- Jinxin Zhang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Changsheng Nie
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xinghua Li
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xiurong Zhao
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yaxiong Jia
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jianlin Han
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yu Chen
- Beijing Municipal General Station of Animal Science, Beijing, China
| | - Liang Wang
- Beijing Municipal General Station of Animal Science, Beijing, China
| | - Xueze Lv
- Beijing Municipal General Station of Animal Science, Beijing, China
| | - Weifang Yang
- Beijing Municipal General Station of Animal Science, Beijing, China
| | - Kaiyang Li
- Beijing Municipal General Station of Animal Science, Beijing, China
| | - Jianwei Zhang
- Beijing Municipal General Station of Animal Science, Beijing, China
| | - Zhonghua Ning
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Haigang Bao
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Chunjiang Zhao
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Junying Li
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lujiang Qu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
- *Correspondence: Lujiang Qu,
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6
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González Ariza A, Navas González FJ, Arando Arbulu A, León Jurado JM, Delgado Bermejo JV, Camacho Vallejo ME. Variability of Meat and Carcass Quality from Worldwide Native Chicken Breeds. Foods 2022; 11:foods11121700. [PMID: 35741898 PMCID: PMC9223061 DOI: 10.3390/foods11121700] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/02/2022] [Accepted: 06/06/2022] [Indexed: 02/01/2023] Open
Abstract
The present research aimed to determine the differential clustering patterns of carcass and meat quality traits in local chicken breeds from around the world and to develop a method to productively characterize minority bird populations. For this, a comprehensive meta-analysis of 91 research documents that dealt with the study of chicken local breeds through the last 20 years was performed. Thirty-nine traits were sorted into the following clusters: weight-related traits, histological properties, pH, color traits, water-holding capacity, texture-related traits, flavor content-related nucleotides, and gross nutrients. Multicollinearity problems reported for pH 72 h post mortem, L* meat 72 h post mortem, a* meat 72 h post mortem, sex, firmness, and chewiness, were thus discarded from further analyses (VIF < 5). Data-mining cross-validation and chi-squared automatic interaction detection (CHAID) decision tree development allowed us to detect similarities across genotypes. Easily collectable trait, such as shear force, muscle fiber diameter, carcass/pieces weight, and pH, presented high explanatory potential of breed variability. Hence, the aforementioned variables must be considered in the experimental methodology of characterization of carcass and meat from native genotypes. This research enables the characterization of local chicken populations to satisfy the needs of specific commercial niches for poultry meat consumers.
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Affiliation(s)
- Antonio González Ariza
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Cordoba, Spain; (A.G.A.); (A.A.A.); (J.V.D.B.)
| | - Francisco Javier Navas González
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Cordoba, Spain; (A.G.A.); (A.A.A.); (J.V.D.B.)
- Institute of Agricultural Research and Training (IFAPA), 14004 Cordoba, Spain;
- Correspondence: ; Tel.: +34-651-679-262
| | - Ander Arando Arbulu
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Cordoba, Spain; (A.G.A.); (A.A.A.); (J.V.D.B.)
| | | | - Juan Vicente Delgado Bermejo
- Department of Genetics, Faculty of Veterinary Sciences, University of Córdoba, 14071 Cordoba, Spain; (A.G.A.); (A.A.A.); (J.V.D.B.)
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7
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Wei C, Niu Y, Chen B, Qin P, Wang Y, Hou D, Li T, Li R, Wang C, Yin H, Han R, Xu H, Tian Y, Liu X, Kang X, Li Z. Genetic effect of an InDel in the promoter region of the NUDT15 and its effect on myoblast proliferation in chickens. BMC Genomics 2022; 23:138. [PMID: 35168561 PMCID: PMC8848950 DOI: 10.1186/s12864-022-08362-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 01/25/2022] [Indexed: 12/14/2022] Open
Abstract
Background Molecular breeding accelerates the speed of animal breeding. Screening molecular markers that can affect economic traits through genome-wide association studies (GWAS) can provide a theoretical basis for molecular breeding. At present, a large number of molecular markers have been screened in poultry research, but few reports on how molecular markers affect economic traits exist. It is particularly important to reveal the action mechanisms of molecular markers, which can provide more accurate information for molecular breeding. Results The aim of this study was to investigate the relationships between two indels (NUDT15-indel-2777 and NUDT15-indel-1673) in the promoter region of NUDT15 and growth and carcass traits in chickens and to explore the regulatory mechanism of NUDT15. Significant differences were found in genotype and allele frequencies among commercial broilers, commercial laying hens and dual-purpose chickens. The results of association analyses showed that these two indel loci could significantly affect growth traits, such as body weight, and carcass traits. Tissue expression profiling at E12 showed that the expression of NUDT15 was significantly higher in skeletal muscle, and time-expression profiling of leg muscle showed that the expression of NUDT15 in myoblasts was significantly higher in the E10 and E12 proliferation stages than in other stages. Promoter activity analysis showed that pro-1673-I and pro-1673-D significantly inhibited promoter activity, and the promoter activity of pro-1673-D was significantly lower than that of pro-1673-I. In addition, when NUDT15 was overexpressed or underwent interference in chicken primary myoblasts (CPMs), NUDT15 could inhibit the proliferation of CPMs. Conclusion The results suggest that the studied indels in the promoter region of NUDT15 may regulate the proliferation of CPMs by affecting NUDT15 expression, ultimately affecting the growth and carcass traits of chickens. These indel polymorphisms may be used together as molecular markers for improving economic traits in chickens. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08362-6.
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Affiliation(s)
- Chengjie Wei
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Yufang Niu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Bingjie Chen
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Panpan Qin
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Yanxing Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Dan Hou
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Tong Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Ruiting Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Chunxiu Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Huadong Yin
- Farm Animal genetic resources exploration and innovation key laboratory of sichuan province, sichuan agricultural university, Chengdu, China
| | - Ruili Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Huifen Xu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Yadong Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Xiaojun Liu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China
| | - Zhuanjian Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China. .,Henan Key laboratory for innovation and utilization of chicken germplasm resources, Zhengzhou, 450046, China.
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Duan X, Yu L, Luo Q, Han R. Analysis of amino acid in albumen and circular RNAs in ovaries of laying hens by chromatographic analysis and RNA-seq. J LIQ CHROMATOGR R T 2022. [DOI: 10.1080/10826076.2021.2023022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Xiaoyan Duan
- Office of Academic Affairs, Hebei North University, Zhang Jiakou, China
| | - Liu Yu
- Department of Laboratory Animal Center, Hebei North University, Zhang Jiakou, China
| | - Qiang Luo
- Life Science Research Center, Hebei North University, Zhang Jiakou, China
| | - Rui Han
- Department of Laboratory Animal Center, Hebei North University, Zhang Jiakou, China
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9
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Wang K, Hu H, Tian Y, Li J, Scheben A, Zhang C, Li Y, Wu J, Yang L, Fan X, Sun G, Li D, Zhang Y, Han R, Jiang R, Huang H, Yan F, Wang Y, Li Z, Li G, Liu X, Li W, Edwards D, Kang X. The chicken pan-genome reveals gene content variation and a promoter region deletion in IGF2BP1 affecting body size. Mol Biol Evol 2021; 38:5066-5081. [PMID: 34329477 PMCID: PMC8557422 DOI: 10.1093/molbev/msab231] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Domestication and breeding have reshaped the genomic architecture of chicken, but the retention and loss of genomic elements during these evolutionary processes remain unclear. We present the first chicken pan-genome constructed using 664 individuals, which identified an additional ∼66.5 Mb sequences that are absent from the reference genome (GRCg6a). The constructed pan-genome encoded 20,491 predicated protein-coding genes, of which higher expression level are observed in conserved genes relative to dispensable genes. Presence/absence variation (PAV) analyses demonstrated that gene PAV in chicken was shaped by selection, genetic drift, and hybridization. PAV-based GWAS identified numerous candidate mutations related to growth, carcass composition, meat quality, or physiological traits. Among them, a deletion in the promoter region of IGF2BP1 affecting chicken body size is reported, which is supported by functional studies and extra samples. This is the first time to report the causal variant of chicken body size QTL located at chromosome 27 which was repeatedly reported. Therefore, the chicken pan-genome is a useful resource for biological discovery and breeding. It improves our understanding of chicken genome diversity and provides materials to unveil the evolution history of chicken domestication.
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Affiliation(s)
- Kejun Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Haifei Hu
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Crawley, 6009 WA, Australia
| | - Yadong Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Jingyi Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, 430070 Wuhan, Hubei, China
| | - Armin Scheben
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Chenxi Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Yiyi Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Junfeng Wu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Lan Yang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Xuewei Fan
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Guirong Sun
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Donghua Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Yanhua Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Ruili Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Ruirui Jiang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Hetian Huang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Fengbin Yan
- Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Yanbin Wang
- Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Zhuanjian Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Guoxi Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Xiaojun Liu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Wenting Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - David Edwards
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Crawley, 6009 WA, Australia
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
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10
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Molecular characterization and a duplicated 31-bp indel within the LDB2 gene and its associations with production performance in chickens. Gene 2020; 761:145046. [PMID: 32781192 DOI: 10.1016/j.gene.2020.145046] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 08/01/2020] [Accepted: 08/06/2020] [Indexed: 02/06/2023]
Abstract
Many studies have shown that the LDB2 gene plays a regulatory role in retinal development and the cell cycle, but its biological role remains unclear. In this study, a 31-bp indel in the LDB2 gene was found for the first time on the basis of 2797 individuals from 10 different breeds, which led to different genotypes among individuals (II, ID and DD). Among these genotypes, DD was the most dominant. Association analysis of an F2 resource population crossed with the Gushi (GS) chicken and Anka chicken showed that the DD genotype conferred a significantly greater semi-evisceration weight (SEW, 1108.665 g ± 6.263), evisceration weight (EW, 927.455 g ± 5.424), carcass weight (CW, 1197.306 g ± 6.443), breast muscle weight (BMW, 71.05 g ± 0.574), and leg muscle weight (LMW, 100.303 g ± 0.677) than the ID genotype (SEW, 1059.079 g ± 16.86; EW, 879.459 g ± 14.446; CW, 1141.821 g ± 17.176; BMW, 67.164 g ± 1.523; and LMW, 96.163 g ± 1.823). In addition, LDB2 gene expression in different breeds was significantly higher in the breast muscles and leg muscles than in other tissues. The expression level in the breast muscle differed significantly among stages of GS chicken development, with the highest expression observed at 6 weeks. The expression levels in the pectoral muscles differed significantly among Ross 308 genotypes. In summary, we studied the relationships between a 31-bp indel in the LDB2 gene and economic traits in chickens. The indel was significantly correlated with multiple growth and carcass traits in the F2 resource population and affected the expression of the LDB2 gene in muscle tissue. In short, our study revealed that the LDB2 gene 31-bp indel can be used as a potential genetic marker for molecular breeding.
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