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Congiu M, Cesarani A, Falchi L, Macciotta NPP, Dimauro C. Combined Use of Univariate and Multivariate Approaches to Detect Selection Signatures Associated with Milk or Meat Production in Cattle. Genes (Basel) 2024; 15:1516. [PMID: 39766784 PMCID: PMC11675734 DOI: 10.3390/genes15121516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2024] [Revised: 11/19/2024] [Accepted: 11/22/2024] [Indexed: 01/11/2025] Open
Abstract
OBJECTIVES The aim of this study was to investigate the genomic structure of the cattle breeds selected for meat and milk production and to identify selection signatures between them. METHODS A total of 391 animals genotyped at 41,258 SNPs and belonging to nine breeds were considered: Angus (N = 62), Charolais (46), Hereford (31), Limousin (44), and Piedmontese (24), clustered in the Meat group, and Brown Swiss (42), Holstein (63), Jersey (49), and Montbéliarde (30), clustered in the Milk group. The population stratification was analyzed by principal component analysis (PCA), whereas selection signatures were identified by univariate (Wright fixation index, FST) and multivariate (canonical discriminant analysis, CDA) approaches. Markers with FST values larger than three standard deviations from the chromosomal mean were considered interesting. Attention was focused on markers selected by both techniques. RESULTS A total of 10 SNPs located on seven different chromosomes (7, 10, 14, 16, 17, 18, and 24) were identified. Close to these SNPs (±250 kb), 165 QTL and 51 genes were found. The QTL were grouped in 45 different terms, of which three were significant (Bonferroni correction < 0.05): milk fat content, tenderness score, and length of productive life. Moreover, genes mainly associated with milk production, immunity and environmental adaptation, and reproduction were mapped close to the common SNPs. CONCLUSIONS The results of the present study suggest that the combined use of univariate and multivariate approaches can help to better identify selection signatures due to directional selection.
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Affiliation(s)
- Michele Congiu
- Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy; (M.C.); (L.F.); (N.P.P.M.); (C.D.)
| | - Alberto Cesarani
- Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy; (M.C.); (L.F.); (N.P.P.M.); (C.D.)
- Animal and Dairy Science Department, University of Georgia, Athens, GA 30602, USA
| | - Laura Falchi
- Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy; (M.C.); (L.F.); (N.P.P.M.); (C.D.)
| | - Nicolò Pietro Paolo Macciotta
- Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy; (M.C.); (L.F.); (N.P.P.M.); (C.D.)
| | - Corrado Dimauro
- Dipartimento di Agraria, Università degli Studi di Sassari, 07100 Sassari, Italy; (M.C.); (L.F.); (N.P.P.M.); (C.D.)
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Che T, Li J, Li X, Wang Z, Zhang X, Yang W, Liu T, Wang Y, Wang K, Gao T, Shen G, Qiu W, Li Z, Zhang W. Haplotype-resolved assembly of the mule duck genome using high-fidelity sequencing technology. PLoS One 2024; 19:e0305914. [PMID: 38950038 PMCID: PMC11216606 DOI: 10.1371/journal.pone.0305914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 06/06/2024] [Indexed: 07/03/2024] Open
Abstract
Mule duck is vitally important to the production of global duck meat. Here, we present two high-quality haplotypes of a female mule duck (haplotype 1 (H1):1.28 Gb, haplotype 2 (H2): 1.40 Gb). The continuity (H1: contig N50 = 14.90 Mb, H2: contig N50 = 15.70 Mb) and completeness (BUSCO: H1 = 96.9%, H2 = 97.3%) are substantially better than those of other duck genomes. We detected the structural variations (SVs) in H1 and H2. We observed a positive correlation between autosome length and the number of SVs. Z chromosome was some deficient in deletions and insertions, but W chromosome was some excessive. A total of 1,451 genes were haplotype specific expression (HSEs). Among them, 737 specifically expressed in H1, and 714 specifically expressed in H2. We found that H1 and H2 HSEs tended to be involved in similar biological processes, such as myometrial relaxation and contraction pathways, muscle structure development and phosphorylation. Our haplotype-resolved genome assembly provides a powerful platform for future functional genomics, molecular breeding, and genome editing in mule duck.
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Affiliation(s)
- Tiandong Che
- College of Life Science, Inner Mongolia Agricultural University, Hohhot, China
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | - Jing Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xiaobo Li
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | - Zhongsi Wang
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | - Xuemei Zhang
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | - Weifei Yang
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | - Tao Liu
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | - Yan Wang
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | - Kaiqian Wang
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | - Tian Gao
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | | | - Wanling Qiu
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | - Zhimin Li
- Annoroad Gene Technology Co., Ltd, Beijing, China
| | - Wenguang Zhang
- College of Life Science, Inner Mongolia Agricultural University, Hohhot, China
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Niu Y, Fan X, Yang Y, Li J, Lian J, Wang L, Zhang Y, Tang Y, Tang Z. Haplotype-resolved assembly of a pig genome using single-sperm sequencing. Commun Biol 2024; 7:738. [PMID: 38890535 PMCID: PMC11189477 DOI: 10.1038/s42003-024-06397-x] [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: 10/07/2023] [Accepted: 05/29/2024] [Indexed: 06/20/2024] Open
Abstract
Single gamete cell sequencing together with long-read sequencing can reliably produce chromosome-level phased genomes. In this study, we employed PacBio HiFi and Hi-C sequencing on a male Landrace pig, coupled with single-sperm sequencing of its 102 sperm cells. A haplotype assembly method was developed based on long-read sequencing and sperm-phased markers. The chromosome-level phased assembly showed higher phasing accuracy than methods that rely only on HiFi reads. The use of single-sperm sequencing data enabled the construction of a genetic map, successfully mapping the sperm motility trait to a specific region on chromosome 1 (105.40-110.70 Mb). Furthermore, with the assistance of Y chromosome-bearing sperm data, 26.16 Mb Y chromosome sequences were assembled. We report a reliable approach for assembling chromosome-level phased genomes and reveal the potential of sperm population in basic biology research and sperm phenotype research.
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Affiliation(s)
- Yongchao Niu
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agriculture Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Xinhao Fan
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agriculture Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- GuangXi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yalan Yang
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agriculture Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Jiang Li
- Biozeron Shenzhen, Inc., Shenzhen, China
| | | | - Liu Wang
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan, China
| | - Yongjin Zhang
- GuangXi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China
| | - Yijie Tang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agriculture Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zhonglin Tang
- Kunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan, China.
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agriculture Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
- GuangXi Engineering Centre for Resource Development of Bama Xiang Pig, Bama, China.
- Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
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Miao J, Wei X, Cao C, Sun J, Xu Y, Zhang Z, Wang Q, Pan Y, Wang Z. Pig pangenome graph reveals functional features of non-reference sequences. J Anim Sci Biotechnol 2024; 15:32. [PMID: 38389084 PMCID: PMC10882747 DOI: 10.1186/s40104-023-00984-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/22/2023] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND The reliance on a solitary linear reference genome has imposed a significant constraint on our comprehensive understanding of genetic variation in animals. This constraint is particularly pronounced for non-reference sequences (NRSs), which have not been extensively studied. RESULTS In this study, we constructed a pig pangenome graph using 21 pig assemblies and identified 23,831 NRSs with a total length of 105 Mb. Our findings revealed that NRSs were more prevalent in breeds exhibiting greater genetic divergence from the reference genome. Furthermore, we observed that NRSs were rarely found within coding sequences, while NRS insertions were enriched in immune-related Gene Ontology terms. Notably, our investigation also unveiled a close association between novel genes and the immune capacity of pigs. We observed substantial differences in terms of frequencies of NRSs between Eastern and Western pigs, and the heat-resistant pigs exhibited a substantial number of NRS insertions in an 11.6 Mb interval on chromosome X. Additionally, we discovered a 665 bp insertion in the fourth intron of the TNFRSF19 gene that may be associated with the ability of heat tolerance in Southern Chinese pigs. CONCLUSIONS Our findings demonstrate the potential of a graph genome approach to reveal important functional features of NRSs in pig populations.
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Affiliation(s)
- Jian Miao
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Xingyu Wei
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Caiyun Cao
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Jiabao Sun
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Yuejin Xu
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Zhe Zhang
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Qishan Wang
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China
- Yazhou Bay Science and Technology City, Hainan Institute of Zhejiang University, Yazhou District, Building 11, Yongyou Industrial Park, Sanya, 572025, Hainan, China
| | - Yuchun Pan
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
- Yazhou Bay Science and Technology City, Hainan Institute of Zhejiang University, Yazhou District, Building 11, Yongyou Industrial Park, Sanya, 572025, Hainan, China.
| | - Zhen Wang
- College of Animal Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
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Yan C, Xie HB, Adeola AC, Fu Y, Liu X, Zhao S, Han J, Peng MS, Zhang YP. Inference of ancestral alleles in the pig reference genome. Anim Genet 2023; 54:649-651. [PMID: 37329125 DOI: 10.1111/age.13337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 06/06/2023] [Accepted: 06/06/2023] [Indexed: 06/18/2023]
Affiliation(s)
- Chen Yan
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Hai-Bing Xie
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Adeniyi C Adeola
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
| | - Yuhua Fu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan, China
| | - Xiaolei Liu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Shuhong Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Jianlin Han
- International Livestock Research Institute, Nairobi, Kenya
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Min-Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
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Wu T, Ma T, Xu T, Pan L, Zhang Y, Li Y, Ning D. The De Novo Genome Assembly of Olea europaea subsp. cuspidate, a Widely Distributed Olive Close Relative. Front Genet 2022; 13:868540. [PMID: 36092936 PMCID: PMC9454953 DOI: 10.3389/fgene.2022.868540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 05/09/2022] [Indexed: 11/13/2022] Open
Abstract
The olive complex, comprising six subspecies, is a valuable plant for global trade, human health, and food safety. However, only one subspecies (Olea europaea subsp. europaea, OE) and its wild relative (Olea europaea subsp. europaea var. sylvestris, OS) have genomic references, hindering our understanding of the evolution of this species. Using a hybrid approach by incorporating Illumina, MGI, Nanopore, and Hi-C technologies, we obtained a 1.20-Gb genome assembly for the olive subspecies, Olea europaea subsp. cuspidate (OC), with contig and scaffold N50 values of 5.33 and 50.46 Mb, respectively. A total of 43,511 protein-coding genes were predicted from the genome. Interestingly, we observed a large region (37.5 Mb) of “gene-desert” also called “LTR-hotspot” on chromosome 17. The gene origination analyses revealed a substantial outburst (19.5%) of gene transposition events in the common ancestor of olive subspecies, suggesting the importance of olive speciation in shaping the new gene evolution of OC subspecies. The divergence time between OC and the last common ancestor of OE and OS was estimated to be 4.39 Mya (95% CI: 2.58–6.23 Mya). The pathways of positively selected genes of OC are related to the metabolism of cofactors and vitamins, indicating the potential medical and economic values of OC for further research and utilization. In summary, we constructed the de novo genome assembly and protein-coding gene pool for Olea europaea subsp. cuspidate (OC) in this study, which may facilitate breeding applications of improved olive varieties from this widely distributed olive close relative.
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Affiliation(s)
| | | | | | | | | | - Yongjie Li
- *Correspondence: Yongjie Li, ; Delu Ning,
| | - Delu Ning
- *Correspondence: Yongjie Li, ; Delu Ning,
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Zheng M, Guo T, Yang B, Zhang Z, Huang L. Origin, evolution, and tissue-specific functions of the porcine repetitive element 1. Genet Sel Evol 2022; 54:54. [PMID: 35896967 PMCID: PMC9327148 DOI: 10.1186/s12711-022-00745-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 07/04/2022] [Indexed: 11/17/2022] Open
Abstract
Background The porcine repetitive element 1 (PRE1) is the most abundant short interspersed nuclear element (SINE) in the Sus scrofa genome and it has been suggested that some PRE1 can have regulatory functions. The million copies of PRE1 in the porcine genome have accumulated abundant CpG dinucleotides and unique structural variations, such as direct repeats and patterns of sequence degeneration. The aims of this study were to analyse these structural variations to trace the origin and evolutionary pattern of PRE1 and to investigate potential methylation-related functions of PRE1 based on methylation patterns of PRE1 CpG dinucleotides in different tissues. Results We investigated the evolutionary trajectory of PRE1 and found that PRE1 originated from the ancestral CHRS-S1 family through three main successive partial duplications. We found that the partial duplications and deletions of PRE1 were likely due to RNA splicing events during retrotransposition. Functionally, correlation analysis showed that the methylation levels of 103 and 261 proximal PRE1 were, respectively, negatively and positively correlated with the expression levels of neighboring genes (Spearman correlation, P < 0.01). Further epigenomic analysis revealed that, in the testis, demethylation of proximal PRE1 in the HORMAD1 and HACD3 genes had tissue-specific enhancer and promoter functions, while in the muscle, methylation of proximal PRE1 repeats in the TCEA3 gene had an enhancer function. Conclusions The characteristic sequences of PRE1 reflect unique patterns of origin and evolution and provide a structural basis for diverse regulatory functions. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-022-00745-3.
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Affiliation(s)
- Min Zheng
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
| | - Tianfu Guo
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Bin Yang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Zhiyan Zhang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
| | - Lusheng Huang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
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