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Zhou A, Ding Y, Zhang X, Zhou Y, Liu Y, Li T, Xiao L. Whole-genome resequencing reveals new mutations in candidate genes for Beichuan-white goat prolificacya. Anim Biotechnol 2024; 35:2258166. [PMID: 37729465 DOI: 10.1080/10495398.2023.2258166] [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: 09/22/2023]
Abstract
In this study, we evaluated the copy number variation in the genomes of two groups of Beichuan-white goat populations with large differences in litter size by FST method, and identified 1739 genes and 485 missense mutations in the genes subject to positive selection. Through functional enrichment, ITGAV, LRP4, CDH23, TPRN, RYR2 and CELSR1 genes, involved in embryonic morphogenesis, were essential for litter size trait, which received intensive attention. In addition, some mutation sites of these genes have been proposed (ITGAV: c.38C > T; TPRN: c.133A > T, c.1192A > G, c.1250A > C; CELSR1: c.7640T > C), whose allele frequencies were significantly changed in the high fecundity goat group. Besides, we found that new mutations at these sites altered the hydrophilicity and 3D structure of the protein. Candidate genes related to litter size in this study and their missense mutation sites were identified. These candidate genes are helpful to understand the genetic mechanism of fecundity in Beichuan white goat, and have important significance for future goat breeding.
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Affiliation(s)
- Aimin Zhou
- Animal Husbandry Research Institute, Mianyang Academy of Agricultural Sciences, Mianyang, P. R. China
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, P. R. China
| | - Yi Ding
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, P. R. China
| | - Xiaohui Zhang
- Animal Husbandry Research Institute, Mianyang Academy of Agricultural Sciences, Mianyang, P. R. China
| | - Yugang Zhou
- Animal Husbandry Research Institute, Mianyang Academy of Agricultural Sciences, Mianyang, P. R. China
| | - Yadong Liu
- Animal Husbandry Research Institute, Mianyang Academy of Agricultural Sciences, Mianyang, P. R. China
| | - Tingjian Li
- Animal Husbandry Research Institute, Mianyang Academy of Agricultural Sciences, Mianyang, P. R. China
| | - Long Xiao
- Animal Husbandry Research Institute, Mianyang Academy of Agricultural Sciences, Mianyang, P. R. China
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2
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Anderson H, Salonen M, Toivola S, Blades M, Lyons LA, Forman OP, Hytönen MK, Lohi H. A new Finnish flavor of feline coat coloration, "salmiak," is associated with a 95-kb deletion downstream of the KIT gene. Anim Genet 2024; 55:676-680. [PMID: 38721753 DOI: 10.1111/age.13438] [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: 12/30/2023] [Revised: 04/12/2024] [Accepted: 04/12/2024] [Indexed: 07/04/2024]
Abstract
Cats with a distinctive white hair pattern of unknown molecular cause have been discovered in the Finnish domestic cat population. Based on the unique appearance of these cats, we have named this phenotype salmiak ("salty licorice"). The use of a commercially available panel test to genotype four salmiak-colored cats revealed the absence of all known variants associated with white-haired phenotypic loci: full White (W), Spotting (Ws) and the Birman white Gloves associated (wg) allele of the KIT proto-oncogene (KIT) gene. Whole-genome sequencing on two salmiak-colored cats was conducted to search for candidate causal variants in the KIT gene. Despite a lack of coding variants, visual inspection of the short read alignments revealed a large ~95 kb deletion located ~65 kb downstream of the KIT gene in the salmiak cats. Additional PCR genotyping of 180 domestic cats and three salmiak-colored cats confirmed the homozygous derived variant genotype fully concordant with the salmiak phenotype. We suggest the newly identified variant be designated as wsal for "w salmiak".
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Affiliation(s)
- Heidi Anderson
- Wisdom Panel, Mars Petcare Science & Diagnostics, Helsinki, Finland
| | - Milla Salonen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of Biology, University of Turku, Turku, Finland
| | | | - Matthew Blades
- Wisdom Panel, Mars Petcare Science & Diagnostics, Leicestershire, UK
| | - Leslie A Lyons
- Department of Veterinary Medicine & Surgery, College of Veterinary Medicine, University of Missouri, Columbia, Missouri, USA
| | - Oliver P Forman
- Wisdom Panel, Mars Petcare Science & Diagnostics, Leicestershire, UK
| | - Marjo K Hytönen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Hannes Lohi
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
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3
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Maciel SVSA, Oliveira IPP, Senes BB, Silva JAIDV, Feitosa FLB, Alves JS, Costa RB, de Camargo GMF. Genomic regions associated with coat color in Gir cattle. Genome 2024; 67:233-242. [PMID: 38579337 DOI: 10.1139/gen-2023-0115] [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: 04/07/2024]
Abstract
Indicine cattle breeds are adapted to the tropical climate, and their coat plays an important role in this process. Coat color influences thermoregulation and the adhesion of ectoparasites and may be associated with productive and reproductive traits. Furthermore, coat color is used for breed qualification, with breeders preferring certain colors. The Gir cattle is characterized by a wide variety of coat colors. Therefore, we performed genome-wide association studies to identify candidate genes for coat color in Gir cattle. Different phenotype scenarios were considered in the analyses and regions were identified on eight chromosomes. Some regions and many candidate genes are influencing coat color in the Gir cattle, which was found to be a polygenic trait. The candidate genes identified have been associated with white spotting patterns and base coat color in cattle and other species. In addition, a possible epistatic effect on coat color determination in the Gir cattle was suggested. This is the first published study that identified genomic regions and listed candidate genes associated with coat color in Gir cattle. The findings provided a better understanding of the genetic architecture of the trait in the breed and will allow to guide future fine-mapping studies for the development of genetic markers for selection.
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Hiraoka M, Urakawa Y, Kawai K, Yoshida A, Hosakawa J, Takazawa M, Inaba A, Yokota S, Hirami Y, Takahashi M, Ohara O, Kurimoto Y, Maeda A. Copy number variant detection using next-generation sequencing in EYS-associated retinitis pigmentosa. PLoS One 2024; 19:e0305812. [PMID: 38913662 PMCID: PMC11195993 DOI: 10.1371/journal.pone.0305812] [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: 03/12/2024] [Accepted: 06/05/2024] [Indexed: 06/26/2024] Open
Abstract
Retinitis pigmentosa (RP) is the most common inherited retinal dystrophy and a major cause of blindness. RP is caused by several variants of multiple genes, and genetic diagnosis by identifying these variants is important for optimizing treatment and estimating patient prognosis. Next-generation sequencing (NGS), which is currently widely used for diagnosis, is considered useful but is known to have limitations in detecting copy number variations (CNVs). In this study, we re-evaluated CNVs in EYS, the main causative gene of RP, identified via NGS using multiplex ligation-dependent probe amplification (MLPA). CNVs were identified in NGS samples of eight patients. To identify potential CNVs, MLPA was also performed on samples from 42 patients who were undiagnosed by NGS but carried one of the five major pathogenic variants reported in Japanese EYS-RP cases. All suspected CNVs based on NGS data in the eight patients were confirmed via MLPA. CNVs were found in 2 of the 42 NGS-undiagnosed RP cases. Furthermore, results showed that 121 of the 661 patients with RP had EYS as the causative gene, and 8.3% (10/121 patients with EYS-RP) had CNVs. Although NGS using the CNV calling criteria utilized in this study failed to identify CNVs in two cases, no false-positive results were detected. Collectively, these findings suggest that NGS is useful for CNV detection during clinical diagnosis of RP.
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Affiliation(s)
- Masakazu Hiraoka
- Department of Ophthalmology, Kobe City Eye Hospital, Kobe, Japan
- Department of Ophthalmology, Kawasaki Medical School, Kurashiki, Okayama, Japan
| | - Yusaku Urakawa
- Department of Ophthalmology, Kobe City Eye Hospital, Kobe, Japan
- Department of Ophthalmology, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Kanako Kawai
- Department of Ophthalmology, Kobe City Eye Hospital, Kobe, Japan
| | - Akiko Yoshida
- Department of Ophthalmology, Kobe City Eye Hospital, Kobe, Japan
| | - Junichi Hosakawa
- Department of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, Chiba, Japan
| | - Masaki Takazawa
- Department of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, Chiba, Japan
| | - Akira Inaba
- Department of Ophthalmology, Kobe City Eye Hospital, Kobe, Japan
| | - Satoshi Yokota
- Department of Ophthalmology, Kobe City Eye Hospital, Kobe, Japan
- Department of Ophthalmology, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Yasuhiko Hirami
- Department of Ophthalmology, Kobe City Eye Hospital, Kobe, Japan
- Department of Ophthalmology, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Masayo Takahashi
- Department of Ophthalmology, Kobe City Eye Hospital, Kobe, Japan
- Vision Care Inc., Kobe, Japan
- Research Organization of Science and Technology SR Center, Ritsumeikan University, Shiga, Japan
| | - Osamu Ohara
- Department of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, Chiba, Japan
| | - Yasuo Kurimoto
- Department of Ophthalmology, Kobe City Eye Hospital, Kobe, Japan
- Department of Ophthalmology, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Akiko Maeda
- Department of Ophthalmology, Kobe City Eye Hospital, Kobe, Japan
- Department of Ophthalmology, Kobe City Medical Center General Hospital, Kobe, Japan
- Research Organization of Science and Technology SR Center, Ritsumeikan University, Shiga, Japan
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Liu X, Peng Y, Zhang X, Wang X, Chen W, Kou X, Liang H, Ren W, Khan MZ, Wang C. Coloration in Equine: Overview of Candidate Genes Associated with Coat Color Phenotypes. Animals (Basel) 2024; 14:1802. [PMID: 38929421 PMCID: PMC11200706 DOI: 10.3390/ani14121802] [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: 05/09/2024] [Revised: 06/12/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
Variation in coat color among equids has attracted significant interest in genetics and breeding research. The range of colors is primarily determined by the type, concentration, and distribution of melanin pigments, with the balance between eumelanin and pheomelanin influenced by numerous genetic factors. Advances in genomic and sequencing technologies have enabled the identification of several candidate genes that influence coat color, thereby clarifying the genetic basis of these diverse phenotypes. In this review, we concisely categorize coat coloration in horses and donkeys, focusing on the biosynthesis and types of melanin involved in pigmentation. Moreover, we highlight the regulatory roles of some key candidate genes, such as MC1R, TYR, MITF, ASIP, and KIT, in coat color variation. Moreover, the review explores how coat color relates to selective breeding and specific equine diseases, offering valuable insights for developing breeding strategies that enhance both the esthetic and health aspects of equine species.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Muhammad Zahoor Khan
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 522000, China
| | - Changfa Wang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng 522000, China
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Deng TX, Ma XY, Duan A, Lu XR, Abdel-Shafy H. Genome-wide CNV analysis reveals candidate genes associated with milk production traits in water buffalo (Bubalus bubalis). J Dairy Sci 2024:S0022-0302(24)00802-6. [PMID: 38762109 DOI: 10.3168/jds.2023-24614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 03/28/2024] [Indexed: 05/20/2024]
Abstract
Buffaloes are vital contributors to the global dairy industry. Understanding the genetic basis of milk production traits in buffalo populations is essential for breeding programs and improving productivity. In this study, we conducted whole-genome resequencing on 387 buffalo genomes from 29 diverse Asian breeds, including 132 river buffaloes, 129 swamp buffaloes, and 126 crossbred buffaloes. We identified 36,548 copy number variant (CNVs) spanning 133.29 Mb of the buffalo genome, resulting in 2,100 copy number variant regions (CNVRs), with 1,993 shared CNVRs being found within the studied buffalo types. Analyzing CNVRs highlighted distinct genetic differentiation between river and swamp buffalo subspecies, verified by evolutionary tree and principal component analyses. Admixture analysis grouped buffaloes into river and swamp categories, with crossbred buffaloes displaying mixed ancestry. To identify candidate genes associated with milk production traits, we employed 3 approaches. First, we used Vst-based population differentiation, revealing 11 genes within CNVRs that exhibited significant divergence between different buffalo breeds, including genes linked to milk production traits. Second, expression quantitative loci (eQTL) analysis revealed differential expression of CNVR-driven genes (DECGs) associated with milk production traits. Notably, known milk production-related genes were among these DECGs, validating their relevance. Last, a genome-wide association study (GWAS) identified 3 CNVRs significantly linked to peak milk yield. Our study provides comprehensive genomic insights into buffalo populations and identifies candidate genes associated with milk production traits. These findings facilitate genetic breeding programs aimed at increasing milk yield and improving quality in this economically important livestock species.
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Affiliation(s)
- Ting-Xian Deng
- Guangxi Provincial Key Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning 530001, China.
| | - Xiao-Ya Ma
- Guangxi Provincial Key Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning 530001, China
| | - Anqin Duan
- Guangxi Provincial Key Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning 530001, China
| | - Xing-Rong Lu
- Guangxi Provincial Key Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning 530001, China
| | - Hamdy Abdel-Shafy
- Department of Animal Production, Faculty of Agriculture, Cairo University, 12613, Giza, Egypt
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Wu J, Wu T, Xie X, Niu Q, Zhao Z, Zhu B, Chen Y, Zhang L, Gao X, Niu X, Gao H, Li J, Xu L. Genetic Association Analysis of Copy Number Variations for Meat Quality in Beef Cattle. Foods 2023; 12:3986. [PMID: 37959106 PMCID: PMC10647706 DOI: 10.3390/foods12213986] [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: 09/17/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023] Open
Abstract
Meat quality is an economically important trait for global food production. Copy number variations (CNVs) have been previously implicated in elucidating the genetic basis of complex traits. In this article, we detected a total of 112,198 CNVs and 10,102 CNV regions (CNVRs) based on the Bovine HD SNP array. Next, we performed a CNV-based genome-wide association analysis (GWAS) of six meat quality traits and identified 12 significant CNV segments corresponding to eight candidate genes, including PCDH15, CSMD3, etc. Using region-based association analysis, we further identified six CNV segments relevant to meat quality in beef cattle. Among these, TRIM77 and TRIM64 within CNVR4 on BTA29 were detected as candidate genes for backfat thickness (BFT). Notably, we identified a 34 kb duplication for meat color (MC) which was supported by read-depth signals, and this duplication was embedded within the keratin gene family including KRT4, KRT78, and KRT79. Our findings will help to dissect the genetic architecture of meat quality traits from the aspects of CNVs, and subsequently improve the selection process in breeding programs.
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Affiliation(s)
- Jiayuan Wu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
| | - Tianyi Wu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
| | - Xueyuan Xie
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Jinzhong 030801, China
| | - Qunhao Niu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
| | - Zhida Zhao
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
| | - Bo Zhu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
| | - Yan Chen
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
| | - Lupei Zhang
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
| | - Xue Gao
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
| | - Xiaoyan Niu
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Jinzhong 030801, China
| | - Huijiang Gao
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
| | - Junya Li
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
| | - Lingyang Xu
- State Key Laboratory of Animal Biotech Breeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (B.Z.); (L.Z.); (J.L.)
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Ayalew W, Wu X, Tarekegn GM, Sisay Tessema T, Naboulsi R, Van Damme R, Bongcam-Rudloff E, Edea Z, Enquahone S, Yan P. Whole-Genome Resequencing Reveals Selection Signatures of Abigar Cattle for Local Adaptation. Animals (Basel) 2023; 13:3269. [PMID: 37893993 PMCID: PMC10603685 DOI: 10.3390/ani13203269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/02/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
Over time, indigenous cattle breeds have developed disease resistance, heat tolerance, and adaptability to harsh environments. Deciphering the genetic mechanisms underlying adaptive traits is crucial for their improvement and sustainable utilization. For the first time, we performed whole-genome sequencing to unveil the genomic diversity, population structure, and selection signatures of Abigar cattle living in a tropical environment. The population structure analysis revealed that Abigar cattle exhibit high nucleotide diversity and heterozygosity, with low runs of homozygosity and linkage disequilibrium, suggesting a genetic landscape less constrained by inbreeding and enriched by diversity. Using nucleotide diversity (Pi) and population differentiation (FST) selection scan methods, we identified 83 shared genes that are likely associated with tropical adaption. The functional annotation analysis revealed that some of these genes are potentially linked to heat tolerance (HOXC13, DNAJC18, and RXFP2), immune response (IRAK3, MZB1, and STING1), and oxidative stress response (SLC23A1). Given the wider spreading impacts of climate change on cattle production, understanding the genetic mechanisms of adaptation of local breeds becomes crucial to better respond to climate and environmental changes. In this context, our finding establishes a foundation for further research into the mechanisms underpinning cattle adaptation to tropical environments.
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Affiliation(s)
- Wondossen Ayalew
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Key Laboratory of Yak Breeding Engineering, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China;
- Institute of Biotechnology, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia; (G.M.T.); (T.S.T.)
| | - Xiaoyun Wu
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Key Laboratory of Yak Breeding Engineering, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China;
| | - Getinet Mekuriaw Tarekegn
- Institute of Biotechnology, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia; (G.M.T.); (T.S.T.)
- Scotland’s Rural College (SRUC), Roslin Institute Building, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Tesfaye Sisay Tessema
- Institute of Biotechnology, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia; (G.M.T.); (T.S.T.)
| | - Rakan Naboulsi
- Childhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska Institute, Tomtebodavägen 18A, 17177 Stockholm, Sweden
| | - Renaud Van Damme
- Department of Animal Breeding and Genetics, Bioinformatics Section, Swedish University of Agricultural Sciences, P.O. Box 7023, S-750 07 Uppsala, Sweden; (R.V.D.); (E.B.-R.)
| | - Erik Bongcam-Rudloff
- Department of Animal Breeding and Genetics, Bioinformatics Section, Swedish University of Agricultural Sciences, P.O. Box 7023, S-750 07 Uppsala, Sweden; (R.V.D.); (E.B.-R.)
| | - Zewdu Edea
- Ethiopian Bio and Emerging Technology Institute, Addis Ababa P.O. Box 5954, Ethiopia;
| | - Solomon Enquahone
- Institute of Biotechnology, Addis Ababa University, Addis Ababa P.O. Box 1176, Ethiopia; (G.M.T.); (T.S.T.)
| | - Ping Yan
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Key Laboratory of Yak Breeding Engineering, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China;
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Bionda A, Lopreiato V, Amato A, Cortellari M, Cavallo C, Chiofalo V, Crepaldi P, Liotta L. Phenotypic and Genomic Characterization of the Comune di Sicilia Goat: Towards the Conservation of an Endangered Local Breed. Animals (Basel) 2023; 13:3207. [PMID: 37893931 PMCID: PMC10603724 DOI: 10.3390/ani13203207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/28/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
The Comune di Sicilia, a local goat breed from Sicily (Italy), is currently undergoing recognition as a distinct breed. This study aims to characterize the population both phenotypically and genomically to advance its recognition process. A total of 78 subjects from two locations were enrolled, and their phenotypic data, including qualitative traits and morphometric measurements of adult animals, were recorded and statistically analyzed. The goats were genotyped using the Illumina 50 k Goat SNPchip, comparing them with 473 goats from 15 Italian breeds. Population structure, phylogenetic relationships, admixture, and genomic inbreeding were analyzed. Additionally, subjects with different morphological traits were compared using FST and runs of homozygosity, leading to the identification of potential candidate genes associated with anotia and wattle presence in goats. The Comune di Sicilia breed exhibited distinctive genomic and phenotypic features, setting it apart from other breeds in the same region. However, moderate variability, possibly influenced by selection practices, was also observed. To ensure the breed's preservation and prevent excessive inbreeding, a comprehensive approach considering both morphology and genomic background is recommended. This study contributes valuable insights into the genetic peculiarities of the Comune di Sicilia goat, supporting its recognition as a unique and valuable breed.
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Affiliation(s)
- Arianna Bionda
- Dipartimento di Scienze Agrarie e Ambientali—Produzione, Territorio, Agroenergia, University of Milan, Via Celoria 2, 20133 Milan, Italy; (A.B.); (P.C.)
| | - Vincenzo Lopreiato
- Dipartimento di Scienze Veterinarie, University of Messina, Viale Palatucci 13, 98168 Messina, Italy; (V.L.); (A.A.); (C.C.); (V.C.); (L.L.)
| | - Annalisa Amato
- Dipartimento di Scienze Veterinarie, University of Messina, Viale Palatucci 13, 98168 Messina, Italy; (V.L.); (A.A.); (C.C.); (V.C.); (L.L.)
| | - Matteo Cortellari
- Dipartimento di Scienze Agrarie e Ambientali—Produzione, Territorio, Agroenergia, University of Milan, Via Celoria 2, 20133 Milan, Italy; (A.B.); (P.C.)
| | - Carmelo Cavallo
- Dipartimento di Scienze Veterinarie, University of Messina, Viale Palatucci 13, 98168 Messina, Italy; (V.L.); (A.A.); (C.C.); (V.C.); (L.L.)
| | - Vincenzo Chiofalo
- Dipartimento di Scienze Veterinarie, University of Messina, Viale Palatucci 13, 98168 Messina, Italy; (V.L.); (A.A.); (C.C.); (V.C.); (L.L.)
| | - Paola Crepaldi
- Dipartimento di Scienze Agrarie e Ambientali—Produzione, Territorio, Agroenergia, University of Milan, Via Celoria 2, 20133 Milan, Italy; (A.B.); (P.C.)
| | - Luigi Liotta
- Dipartimento di Scienze Veterinarie, University of Messina, Viale Palatucci 13, 98168 Messina, Italy; (V.L.); (A.A.); (C.C.); (V.C.); (L.L.)
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Visser C, Snyman MA. Incorporating new technologies in breeding plans for South African goats in harsh environments. Anim Front 2023; 13:53-59. [PMID: 37841757 PMCID: PMC10575310 DOI: 10.1093/af/vfad040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023] Open
Affiliation(s)
- Carina Visser
- Department of Animal Science, University of Pretoria, P/Bag X28, Pretoria, 0028, South Africa
| | - Margaretha A Snyman
- Grootfontein Agricultural Development Institute, P/Bag X529, Middelburg, EC, 5900, South Africa
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Saif R, Mahmood T, Zia S, Henkel J, Ejaz A. Genomic selection pressure discovery using site-frequency spectrum and reduced local variability statistics in Pakistani Dera-Din-Panah goat. Trop Anim Health Prod 2023; 55:331. [PMID: 37750990 DOI: 10.1007/s11250-023-03758-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 09/12/2023] [Indexed: 09/27/2023]
Abstract
BACKGROUND Population geneticists have long sought to comprehend various selection traces accumulated in the goat genome due to natural or human driven artificial selection through breeding practices, which led the wild animals to domestication, so understanding evolutionary process may helpful to utilize the full genetic potential of goat genome. METHODS AND RESULTS As a step forward to pinpoint the selection signals in Pakistani Dera-Din-Panah (DDP) goat, whole-genome pooled sequencing (n = 12) was performed, and 618,236,192 clean paired-end reads were mapped against ARS1 reference goat assembly. Five different selection signature statistics were applied using four site-frequency spectrum (SFS) methods (Tajima's D ([Formula: see text]), Fay and Wu's H ([Formula: see text]), Zeng's E ([Formula: see text]), [Formula: see text]) and one reduced local variability approach named pooled heterozygosity ([Formula: see text]). The under-selection regions were annotated with significant threshold values of [Formula: see text]≥4.7, [Formula: see text]≥6, [Formula: see text]≥2.5, Pool-HMM ≥ 12, and [Formula: see text]≥5 that resulted in accumulative 364 candidate gene hits. The highest genomic selection signals were observed on Chr. 4, 6, 10, 12, 15, 16, 18, 20, and 27 and harbor ADAMTS6, CWC27, RELN, MYCBP2, FGF14, STIM1, CFAP74, GNB1, CALML6, TMEM52, FAM149A, NADK, MMP23B, OPN3, FH, MFHAS1, KLKB1, RRM1, KMO, SPEF2, F11, KIT, KMO, ERI1, ATP8B4, and RHOG genes. Next, the validation of our captured genomic hits was also performed by more than one applied statistics which harbor meat production, immunity, and reproduction associated genes to strengthen our hypothesis of under-selection traits in this Pakistani goat breed. Furthermore, common candidate genes captured by more than one statistical method were subjected to gene ontology and KEGG pathway analysis to get insights of particular biological processes associated with this goat breed. CONCLUSION Current perception of genomic architecture of DDP goat provides a better understanding to improve its genetic potential and other economically important traits of medium to large body size, milk, and fiber production by updating the genomic insight driven breeding strategies to boost the livestock and agriculture-based economy of the country.
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Affiliation(s)
- Rashid Saif
- Department of Biotechnology, Qarshi University, Lahore, Pakistan.
- Decode Genomics, Punjab University Employees Housing Scheme, Lahore, Pakistan.
| | - Tania Mahmood
- Decode Genomics, Punjab University Employees Housing Scheme, Lahore, Pakistan
| | - Saeeda Zia
- Department of Sciences and Humanities, National University of Computer and Emerging Sciences, Lahore, Pakistan
| | - Jan Henkel
- MGZ-Medical Genetics Center, Munich, Germany
| | - Aniqa Ejaz
- Decode Genomics, Punjab University Employees Housing Scheme, Lahore, Pakistan
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12
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Sallam AM, Reyer H, Wimmers K, Bertolini F, Aboul-Naga A, Braz CU, Rabee AE. Genome-wide landscape of runs of homozygosity and differentiation across Egyptian goat breeds. BMC Genomics 2023; 24:573. [PMID: 37752425 PMCID: PMC10521497 DOI: 10.1186/s12864-023-09679-6] [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: 02/28/2023] [Accepted: 09/15/2023] [Indexed: 09/28/2023] Open
Abstract
Understanding the genomic features of livestock is essential for successful breeding programs and conservation. This information is scarce for local goat breeds in Egypt. In the current study, genomic regions with selection signatures were identified as well as runs of homozygosity (ROH), genomic inbreeding coefficients (FROH) and fixation index (FST) were detected in Egyptian Nubian, Damascus, Barki and Boer goat breeds. A total of 46,268 SNP markers and 337 animals were available for the genomic analyses. On average, 145.44, 42.02, 87.90 and 126.95 ROHs were detected per individual in the autosomal genome of the respective breeds. The mean accumulative ROH lengths ranged from 46.5 Mb in Damascus to 360 Mb in Egyptian Nubian. The short ROH segments (< 2 Mb) were most frequent in all breeds, while the longest ROH segments (> 16 Mb) were exclusively found in the Egyptian Nubian. The highest average FROH was observed in Egyptian Nubian (~ 0.12) followed by Boer (~ 0.11), while the lowest FROH was found in Damascus (~ 0.05) and Barki breed (~ 0.03). The estimated mean FST was 0.14 (Egyptian Nubian and Boer), 0.077 (Egyptian Nubian and Barki), 0.075 (Egyptian Nubian and Damascus), 0.071 (Barki and Boer), 0.064 (Damascus and Boer), and 0.015 (Damascus and Barki), for each pair of breeds. Interestingly, multiple SNPs that accounted for high FST values were observed on chromosome 6 in regions harboring ALPK1 and KCNIP4. Genomic regions overlapping both FST and ROH harbor genes related to immunity (IL4R, PHF23, GABARAP, GPS2, and CD68), reproduction (SPATA2L, TNFSF12, TMEM95, and RNF17), embryonic development (TCF25 and SOX15) and adaptation (MC1R, KDR, and KIT), suggesting potential genetic adaptations to local environmental conditions. Our results contribute to the understanding of the genetic architecture of different goat breeds and may provide valuable information for effective preservation and breeding programs of local goat breeds in Egypt.
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Affiliation(s)
- Ahmed M Sallam
- Animal and Poultry Breeding Department, Desert Research Center, Cairo, Egypt.
| | - Henry Reyer
- Research Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany
| | - Klaus Wimmers
- Research Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany
- Faculty of Agricultural and Environmental Sciences, University of Rostock, Justus-von-Liebig-Weg 6b, 18059, Rostock, Germany
| | - Francesca Bertolini
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - Adel Aboul-Naga
- Animal Production Research Institute, Agricultural Research Center, Dokki, Cairo, Egypt
| | - Camila U Braz
- Animal and Poultry Nutrition Department, Desert Research Center, Cairo, Egypt
| | - Alaa Emara Rabee
- Department of Animal Sciences, University of Illinois Urbana-Champaign, 1207 Gregory Dr, Urbana, 61801, USA
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13
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Wang Q, Song X, Bi Y, Zhu H, Wu X, Guo Z, Liu M, Pan C. Detection distribution of CNVs of SNX29 in three goat breeds and their associations with growth traits. Front Vet Sci 2023; 10:1132833. [PMID: 37706075 PMCID: PMC10495836 DOI: 10.3389/fvets.2023.1132833] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 07/17/2023] [Indexed: 09/15/2023] Open
Abstract
As a member of the SNX family, the goat sorting nexin 29 (SNX29) is initially identified as a myogenesis gene. Therefore, this study aimed to examine the polymorphism in the SNX29 gene and its association with growth traits. In this study, we used an online platform to predict the structures of the SNX29 protein and used quantitative real-time PCR to detect potential copy number variation (CNV) in Shaanbei white cashmere (SBWC) goats (n = 541), Guizhou black (GB) goats (n = 48), and Nubian (NB) goats (n = 39). The results showed that goat SNX29 protein belonged to non-secretory protein. Then, five CNVs were detected, and their association with growth traits was analyzed. In SBWC goats, CNV1, CNV3, CNV4, and CNV5 were associated with chest width and body length (P < 0.05). Among them, the CNV1 individuals with gain and loss genotypes were superior to those individuals with a median genotype, but CNV4 and CNV5 of individuals with the median genotype were superior to those with the loss and gain genotypes. In addition, individuals with the gain genotype had superior growth traits in CNV3. In brief, this study suggests that the CNV of SNX29 can be used as a molecular marker in goat breeding.
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Affiliation(s)
- Qian Wang
- College of Animal Science and Technology, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, Northwest A&F University, Yangling, Shaanxi, China
| | - Xiaoyue Song
- Shaanxi Provincial Engineering and Technology Research Center of Cashmere Goats, Yulin University, Yulin, Shaanxi, China
- Life Science Research Center, Yulin University, Yulin, Shaanxi, China
| | - Yi Bi
- College of Animal Science and Technology, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, Northwest A&F University, Yangling, Shaanxi, China
| | - Haijing Zhu
- Shaanxi Provincial Engineering and Technology Research Center of Cashmere Goats, Yulin University, Yulin, Shaanxi, China
- Life Science Research Center, Yulin University, Yulin, Shaanxi, China
| | - Xianfeng Wu
- Institute of Animal Husbandry and Veterinary, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian, China
| | - Zhengang Guo
- Animal Husbandry and Veterinary Science Institute of Bijie City, Bijie, Guizhou, China
| | - Mei Liu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China
| | - Chuanying Pan
- College of Animal Science and Technology, Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, Northwest A&F University, Yangling, Shaanxi, China
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14
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Arenas-Báez P, Torres-Hernández G, Castillo-Hernández G, Hernández-Rodríguez M, Sánchez-Gutiérrez RA, Vargas-López S, González-Maldonado J, Domínguez-Martínez PA, Granados-Rivera LD, Maldonado-Jáquez JA. Coat Color in Local Goats: Influence on Environmental Adaptation and Productivity, and Use as a Selection Criterion. BIOLOGY 2023; 12:929. [PMID: 37508360 PMCID: PMC10376610 DOI: 10.3390/biology12070929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/16/2023] [Accepted: 06/27/2023] [Indexed: 07/30/2023]
Abstract
This paper aims to review, systematically synthesize, and analyze fragmented information about the importance of coat color in local goats and its relationship with productivity and other important traits. Topics on current research on color expression are addressed, the relationship that has as a mechanism of environmental adaptation, its relationship with the production of meat, milk, and derivates, and the economic value of this characteristic. The use of this attribute as a tool to establish selection criteria in breeding programs based on results reported in the scientific literature is significant, particularly for low-income production systems, where the implementation of classic genetic improvement schemes is limited due to the lack of productive information, which is distinctive of extensive marginal or low scaled production systems around the world.
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Affiliation(s)
- Pablo Arenas-Báez
- Unidad Regional Universitaria de Zonas Áridas, Universidad Autónoma Chapingo, Bermejillo, Durango 35230, Mexico
| | | | - Gabriela Castillo-Hernández
- Colegio de Postgraduados, Campus Montecillo, Montecillo, Texcoco 56264, Mexico
- Facultad de Estudios Superiores Cuautitlán, Universidad Nacional Autónoma de México, Cuautitlán Izcalli 54714, Mexico
| | | | - Ricardo Alonso Sánchez-Gutiérrez
- Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias, Campo Experimental Zacatecas, Calera, Zacatecas 98500, Mexico
| | | | - Juan González-Maldonado
- Instituto de Ciencias Agrícolas, Universidad Autónoma de Baja California, Mexicali 21750, Mexico
| | - Pablo Alfredo Domínguez-Martínez
- Colegio de Postgraduados, Campus Montecillo, Montecillo, Texcoco 56264, Mexico
- Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Campo Experimental Valle del Guadiana, Durango 34170, Mexico
| | - Lorenzo Danilo Granados-Rivera
- Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Campo Experimental Genera Terán, General Terán 67400, Mexico
| | - Jorge Alonso Maldonado-Jáquez
- Colegio de Postgraduados, Campus Montecillo, Montecillo, Texcoco 56264, Mexico
- Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Campo Experimental La Laguna, Matamoros 27440, Mexico
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15
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Galbraith JD, Hayward A. The influence of transposable elements on animal colouration. Trends Genet 2023:S0168-9525(23)00091-4. [PMID: 37183153 DOI: 10.1016/j.tig.2023.04.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 04/17/2023] [Accepted: 04/19/2023] [Indexed: 05/16/2023]
Abstract
Transposable elements (TEs) are mobile genetic sequences present within host genomes. TEs can contribute to the evolution of host traits, since transposition is mutagenic and TEs often contain host regulatory and protein coding sequences. We review cases where TEs influence animal colouration, reporting major patterns and outstanding questions. TE-induced colouration phenotypes typically arise via introduction of novel regulatory sequences and splice sites, affecting pigment cell development or pigment synthesis. We discuss if particular TE types may be more frequently involved in the evolution of colour variation in animals, given that examples involving long terminal repeat (LTR) elements appear to dominate. Currently, examples of TE-induced colouration phenotypes in animals mainly concern model and domesticated insect and mammal species. However, several influential recent examples, coupled with increases in genome sequencing, suggest cases reported from wild species will increase considerably.
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Affiliation(s)
- James D Galbraith
- Faculty of Environment, Science and Economy, University of Exeter, Cornwall TR10 9FE, UK.
| | - Alexander Hayward
- Faculty of Environment, Science and Economy, University of Exeter, Cornwall TR10 9FE, UK.
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16
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Zhang F, Wang C, Xu H, Xia X, Luo X, Li K, Han J, Lei C, Chen N, Yue X. Genomic analysis reveals a KIT-related chromosomal translocation associated with the white coat phenotype in yak. J Anim Breed Genet 2023; 140:330-342. [PMID: 36789788 DOI: 10.1111/jbg.12761] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 01/25/2023] [Indexed: 02/16/2023]
Abstract
White coat pigmentation is a striking phenotype of many domesticated species and has various genetic controls. The Tianzhu White yak, an indigenous breed with a complete white coat, has fascinated Tibetans for centuries. However, the genetic basis of this trait remains unknown. Here, we conducted population genomics analysis and genome-wide association study based on the whole-genome sequencing data of 38 white and 59 non-white-coated yak. The results revealed the presence of KIT-linked Cs alleles characterized by the translocations between chromosomes 6 and 29 in all-white yak. Furthermore, structural variations showed additional duplications of the Cs alleles in white yak compared with colour-sidedness cattle. Interestingly, the Cs alleles associated with the white coat phenotype in yak were found to have introgressed from taurine cattle. Our findings unveil the shared genetic control of the white coat phenotype and its evolution in closely related bovine species.
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Affiliation(s)
- Fengwei Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Chong Wang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Haiyue Xu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Xiaoting Xia
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xiaoyu Luo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Kaihui Li
- Extending Station for Animal Husbandry and Veterinary Technology of Tianzhu Tibetan Autonomous County, Tianzhu, China
| | - Jianlin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Ningbo Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xiangpeng Yue
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
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17
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Ghildiyal K, Panigrahi M, Kumar H, Rajawat D, Nayak SS, Lei C, Bhushan B, Dutt T. Selection signatures for fiber production in commercial species: A review. Anim Genet 2023; 54:3-23. [PMID: 36352515 DOI: 10.1111/age.13272] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 10/11/2022] [Accepted: 10/11/2022] [Indexed: 11/11/2022]
Abstract
Natural fibers derived from diverse animal species have gained increased attention in recent years due to their favorable environmental effects, long-term sustainability benefits, and remarkable physical and mechanical properties that make them valuable raw materials used for textile and non-textile production. Domestication and selective breeding for the economically significant fiber traits play an imperative role in shaping the genomes and, thus, positively impact the overall productivity of the various fiber-producing species. These selection pressures leave unique footprints on the genome due to alteration in the allelic frequencies at specific loci, characterizing selective sweeps. Recent advances in genomics have enabled the discovery of selection signatures across the genome using a variety of methods. The increased demand for 'green products' manufactured from natural fibers necessitates a detailed investigation of the genomes of the various fiber-producing plant and animal species to identify the candidate genes associated with important fiber attributes such as fiber diameter/fineness, color, length, and strength, among others. The objective of this review is to present a comprehensive overview of the concept of selection signature and selective sweeps, discuss the main methods used for its detection, and address the selection signature studies conducted so far in the diverse fiber-producing animal species.
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Affiliation(s)
- Kanika Ghildiyal
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, India
| | - Manjit Panigrahi
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, India
| | - Harshit Kumar
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, India
| | - Divya Rajawat
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, India
| | | | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Bharat Bhushan
- Division of Animal Genetics, Indian Veterinary Research Institute, Bareilly, India
| | - Triveni Dutt
- Livestock Production and Management Section, Indian Veterinary Research Institute, Bareilly, India
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18
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Nguyen TV, Vander Jagt CJ, Wang J, Daetwyler HD, Xiang R, Goddard ME, Nguyen LT, Ross EM, Hayes BJ, Chamberlain AJ, MacLeod IM. In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants. Genet Sel Evol 2023; 55:9. [PMID: 36721111 PMCID: PMC9887926 DOI: 10.1186/s12711-023-00783-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 01/23/2023] [Indexed: 02/02/2023] Open
Abstract
Studies have demonstrated that structural variants (SV) play a substantial role in the evolution of species and have an impact on Mendelian traits in the genome. However, unlike small variants (< 50 bp), it has been challenging to accurately identify and genotype SV at the population scale using short-read sequencing. Long-read sequencing technologies are becoming competitively priced and can address several of the disadvantages of short-read sequencing for the discovery and genotyping of SV. In livestock species, analysis of SV at the population scale still faces challenges due to the lack of resources, high costs, technological barriers, and computational limitations. In this review, we summarize recent progress in the characterization of SV in the major livestock species, the obstacles that still need to be overcome, as well as the future directions in this growing field. It seems timely that research communities pool resources to build global population-scale long-read sequencing consortiums for the major livestock species for which the application of genomic tools has become cost-effective.
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Affiliation(s)
- Tuan V. Nguyen
- grid.452283.a0000 0004 0407 2669Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia
| | - Christy J. Vander Jagt
- grid.452283.a0000 0004 0407 2669Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia
| | - Jianghui Wang
- grid.452283.a0000 0004 0407 2669Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia
| | - Hans D. Daetwyler
- grid.452283.a0000 0004 0407 2669Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia ,grid.1018.80000 0001 2342 0938School of Applied Systems Biology, La Trobe University, Bundoora, VIC 3083 Australia
| | - Ruidong Xiang
- grid.452283.a0000 0004 0407 2669Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia ,grid.1008.90000 0001 2179 088XFaculty of Veterinary & Agricultural Science, The University of Melbourne, Parkville, VIC 3052 Australia
| | - Michael E. Goddard
- grid.452283.a0000 0004 0407 2669Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia ,grid.1008.90000 0001 2179 088XFaculty of Veterinary & Agricultural Science, The University of Melbourne, Parkville, VIC 3052 Australia
| | - Loan T. Nguyen
- grid.1003.20000 0000 9320 7537Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD 4072 Australia
| | - Elizabeth M. Ross
- grid.1003.20000 0000 9320 7537Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD 4072 Australia
| | - Ben J. Hayes
- grid.1003.20000 0000 9320 7537Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD 4072 Australia
| | - Amanda J. Chamberlain
- grid.452283.a0000 0004 0407 2669Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia ,grid.1018.80000 0001 2342 0938School of Applied Systems Biology, La Trobe University, Bundoora, VIC 3083 Australia
| | - Iona M. MacLeod
- grid.452283.a0000 0004 0407 2669Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC 3083 Australia
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19
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Whole-Genome Sequencing Reveals the Genomic Characteristics and Selection Signatures of Hainan Black Goat. Genes (Basel) 2022; 13:genes13091539. [PMID: 36140707 PMCID: PMC9498695 DOI: 10.3390/genes13091539] [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: 07/24/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 11/16/2022] Open
Abstract
Goats have become one of the most adaptive and important livestock species distributed in developing countries in recent years. The Hainan Black goat is a native goat breed of the Hainan region that is generally well-liked by the local population and is thus raised in large numbers. However, the genomic diversity and selective signals of the Hainan Black goat have not been clearly elucidated yet. Therefore, in this study, we performed whole-genome resequencing of 16 Hainan Black goats and compared the results with those of 71 goats of 6 other breeds from different geographic regions. Principal component analysis (PCA) and phylogenetic analysis identified seven lineages for all goats. Hainan Black goats showed the most similarity with Leizhou goats and the least similarity with Boer goats. Selective sweep analysis identified candidate genes associated with various functions, including immune resistance to disease (TNFAIP2 (TNF alpha induced protein 2) and EXOC3L4 (exocyst complex component 3 like 4)), melanin biosynthetic process (CDH15 (cadherin 15), ASIP (agouti signaling protein), and PARD3 (par-3 family cell polarity regulator)), and light sensitivity (CNGB3 (cyclic nucleotide gated channel subunit beta 3) and CNBD1 (cyclic nucleotide binding domain containing 1)), underlying strong selection signatures in Hainan Black goats. The melanin biosynthetic process, circadian entrainment, regulation of cyclic adenosine 3,5-monophosphate (cAMP)-mediated signaling, and the Rap-1 signaling pathway were significantly enriched in Hainan Black and Alashan Cashmere goats. This result may be important for understanding each trait. Selection signature analysis revealed candidate single nucleotide polymorphisms (SNPs) and genes correlated with the traits of Hainan Black goats. Collectively, our results provide valuable insights into the genetic basis of specific traits correlated with the Hainan island climate, artificial selection in certain local goat breeds, and the importance of protecting breed resources.
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20
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Voß K, Blaj I, Tetens JL, Thaller G, Becker D. Roan coat color in livestock. Anim Genet 2022; 53:549-556. [PMID: 35811453 DOI: 10.1111/age.13240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 06/20/2022] [Accepted: 06/22/2022] [Indexed: 11/27/2022]
Abstract
Since domestication, a wide variety of phenotypes including coat color variation has developed in livestock. This variation is mostly based on selective breeding. During the beginning of selective breeding, potential negative consequences did not become immediately evident due to low frequencies of homozygous animals and have been occasionally neglected. However, numerous studies of coat color genetics have been carried out over more than a century and, meanwhile, pleiotropic effects for several coat color genes, including disorders of even lethal impact, were described. Similar coat color phenotypes can often be found across species, caused either by conserved genes or by different genes. Even in the same species, more than one gene could cause the same or similar coat color phenotype. The roan coat color in livestock species is characterized by a mixture of white and colored hair in cattle, pig, sheep, goat, alpaca, and horse. So far, the genetic background of this phenotype is not fully understood, but KIT and its ligand KITLG (MGF) are major candidate genes in livestock species. For some of these species, pleiotropic effects such as subfertility in homozygous roan cattle or homozygous embryonic lethality in certain horse breeds have been described. This review aims to point out the similarities and differences of the roan phenotype across the following livestock species: cattle, pig, sheep, goat, alpaca, and horse; and provides the current state of knowledge on genetic background and pleiotropic effects.
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Affiliation(s)
- Katharina Voß
- Institute of Animal Breeding and Husbandry, University of Kiel, Kiel, Germany
| | - Iulia Blaj
- Institute of Animal Breeding and Husbandry, University of Kiel, Kiel, Germany
| | - Julia L Tetens
- Institute of Animal Breeding and Husbandry, University of Kiel, Kiel, Germany
| | - Georg Thaller
- Institute of Animal Breeding and Husbandry, University of Kiel, Kiel, Germany
| | - Doreen Becker
- Institute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
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21
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Zhang X, Chen N, Chen H, Lei C, Sun T. Comparative analyses of copy number variations between swamp and river buffalo. Gene X 2022; 830:146509. [PMID: 35460806 DOI: 10.1016/j.gene.2022.146509] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 04/08/2022] [Accepted: 04/14/2022] [Indexed: 11/30/2022] Open
Abstract
Domestic buffalo is an important livestock in the tropical and sub-tropical region, including two types: swamp and river buffalo. The swamp buffalo is mainly used as draft animal, while the river buffalo is raised for milk production. In this study, based on the new high-quality buffalo reference genome UOA_WB_1, we firstly investigated the copy number variants in buffalo using whole-genome Illumina sequencing. A total of 3,734 CNV regions (CNVRs) were detected in 106 buffalo population with a total length of 23,429,066 bp, corresponding to ∼ 0.88% of the water buffalo genome (UOA_WB_1). Our results revealed a clear population differentiation in CNV between swamp and river buffalo. In addition, a total of 667 highly differentiated CNVRs (covering 886 genes) were detected between river and swamp buffalo population. We detected a set of CNVR-overlapping genes associated with exercise, immunity, nerve, and milk trait which exhibited different copy numbers between swamp and river buffalo population. This study provides valuable genome variation resources for buffalo and would contribute to understanding the genetic differences between swamp and river buffalo.
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Affiliation(s)
- Xianfu Zhang
- Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A & F University, Hangzhou, Zhejiang 311300, China.
| | - Ningbo 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
| | - 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
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Ting Sun
- College of Life Sciences, Shaanxi Normal University, Xi'an 710062, China.
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22
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Guo J, Sun X, Mao A, Liu H, Zhan S, Li L, Zhong T, Wang L, Cao J, Liu GE, Zhang H. A 13.42-kb tandem duplication at the ASIP locus is strongly associated with the depigmentation phenotype of non-classic Swiss markings in goats. BMC Genomics 2022; 23:437. [PMID: 35698044 PMCID: PMC9190080 DOI: 10.1186/s12864-022-08672-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/27/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The pigmentation phenotype diversity is rich in domestic goats, and identification of the genetic loci affecting coat color in goats has long been of interest. Via the detections of selection signatures, a duplication upstream ASIP was previously reported to be a variant affecting the Swiss markings depigmentation phenotype in goats. RESULTS We conducted a genome-wide association study using whole-genome sequencing (WGS) data to identify the genetic loci and causal variants affecting the pigmentation phenotype in 65 Jintang black (JT) goats (i.e., 48 solid black vs. 17 non-classic Swiss markings). Although a single association peak harboring the ASIP gene at 52,619,845-72,176,538 bp on chromosome 13 was obtained using a linear mixed model approach, all the SNPs and indels in this region were excluded as causal variants for the pigmentation phenotype. We then found that all 17 individuals with non-classic Swiss markings carried a 13,420-bp duplication (CHI13:63,129,198-63,142,617 bp) nearly 101 kb upstream of ASIP, and this variant was strongly associated (P = 1.48 × 10- 12) with the coat color in the 65 JT goats. The copy numbers obtained from the WGS data also showed that the duplication was present in all 53 goats from three European breeds with Swiss markings and absent in 45 of 51 non-Swiss markings goats from four other breeds and 21 Bezoars, which was further validated in 314 samples from seven populations based on PCR amplification. The copy numbers of the duplication vary in different goat breeds with Swiss markings, indicating a threshold effect instead of a dose-response effect at the molecular level. Furthermore, breakpoint flanking repeat analysis revealed that the duplication was likely to be a result of the Bov-B-mediated nonallelic homologous recombination. CONCLUSION We confirmed that a genomic region harboring the ASIP gene is a major locus affecting the coat color phenotype of Swiss markings in goats. Although the molecular genetic mechanisms remain unsolved, the 13,420-bp duplication upstream of ASIP is a necessary but not sufficient condition for this phenotype in goats. Moreover, the variations in the copy number of the duplication across different goat breeds do not lead to phenotypic heterogeneity.
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Affiliation(s)
- Jiazhong Guo
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xueliang Sun
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Ayi Mao
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Haifeng Liu
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Siyuan Zhan
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Li Li
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Tao Zhong
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Linjie Wang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jiaxue Cao
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - George E Liu
- Animal Genomics and Improvement Laboratory, BARC, Agricultural Research Service, USDA, Beltsville, MD, 20705, USA.
| | - Hongping Zhang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
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23
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Genome-Wide Selective Analysis of Boer Goat to Investigate the Dynamic Heredity Evolution under Different Stages. Animals (Basel) 2022; 12:ani12111356. [PMID: 35681821 PMCID: PMC9204547 DOI: 10.3390/ani12111356] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/07/2022] [Accepted: 05/23/2022] [Indexed: 12/16/2022] Open
Abstract
Boer goats, as kemp in meat-type goats, are selected and bred from African indigenous goats under a long period of artificial selection. Their advantages in multiple economic traits, particularly their plump growth, have attracted worldwide attention. The current study displayed the genome-wide selection signature analyses of South African indigenous goat (AF), African Boer (BH), and Australian Boer (AS) to investigate the hereditary basis of artificial selection in different stages. Four methods (principal component analysis, nucleotide diversity, linkage disequilibrium decay, and neighbor-joining tree) implied the genomic diversity changes with different artificial selection intensities in Boer goats. In addition, the θπ, FST, and XP-CLR methods were used to search for the candidate signatures of positive selection in Boer goats. Consequently, 339 (BH vs. AF) and 295 (AS vs. BH) candidate genes were obtained from SNP data. Especially, 10 genes (e.g., BMPR1B, DNER, ITGAL, and KIT) under selection in both groups were identified. Functional annotation analysis revealed that these genes are potentially responsible for reproduction, metabolism, growth, and development. This study used genome-wide sequencing data to identify inheritance by artificial selection. The results of the current study are valuable for future molecular-assisted breeding and genetic improvement of goats.
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24
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Salek Ardestani S, Zandi MB, Vahedi SM, Mahboudi H, Mahboudi F, Meskoob A. Detection of common copy number of variation underlying selection pressure in Middle Eastern horse breeds using whole-genome sequence data. J Hered 2022; 113:421-430. [PMID: 35605262 DOI: 10.1093/jhered/esac027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 05/21/2022] [Indexed: 11/14/2022] Open
Abstract
Dareshouri, Arabian, and Akhal-Teke are three Middle Eastern horse breeds that have been selected for endurance and adaptation to harsh climates. Deciphering the genetic characteristics of these horses by tracing selection footprints and copy number of variations will be helpful in improving our understanding of equine breeds' development and adaptation. For this purpose, we sequenced the whole-genome of four Dareshouri horses using Illumina Hiseq panels and compared them with publicly available whole-genome sequences of Arabian (n=3) and Akhal-Teke (n=3) horses . Three tests of FLK, hapFLK, and pooled heterozygosity were applied using a sliding window (window size=100kb, step size=50kb) approach to detect putative selection signals. Copy number variation analysis was applied to investigate copy number of variants (CNVs), and the results were used to suggest selection signatures involving CNVs. Whole-genome sequencing demonstrated 8,837,950 single nucleotide polymorphisms (SNPs) in autosomal chromosomes. We suggested 58 genes and three quantitative trait loci (QTLs), including some related to horse gait, insect bite hypersensitivity, and withers height, based on selective signals detected by adjusted p-value of Mahalanobis distance based on the rank-based P-values (Md-rank-P) method. We proposed 12 genomic regions under selection pressure involving CNVs which were previously reported to be associated with metabolism energy (SLC5A8), champagne dilution in horses (SLC36A1), and synthesis of polyunsaturated fatty acids (FAT2). Only 10 Middle Eastern horses were tested in this study; therefore, the conclusions are speculative. Our findings are useful to better understanding the evolution and adaptation of Middle Eastern horse breeds.
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Affiliation(s)
- Siavash Salek Ardestani
- Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | | | - Seyed Milad Vahedi
- Department of Animal Science and Aquaculture, Dalhousie University, Truro, Canada
| | - Hossein Mahboudi
- Department of Biotechnology, School of Pharmacy, Alborz University of Medical Sciences, Karaj, Iran
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25
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Waineina RW, Okeno TO, Ilatsia ED, Ngeno K. Selection Signature Analyses Revealed Genes Associated With Adaptation, Production, and Reproduction in Selected Goat Breeds in Kenya. Front Genet 2022; 13:858923. [PMID: 35528543 PMCID: PMC9068939 DOI: 10.3389/fgene.2022.858923] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 03/22/2022] [Indexed: 11/13/2022] Open
Abstract
Artificial and natural selection in livestock is expected to leave unique footprints on their genomes. Goat breeds in Kenya have evolved for survival, breeding, and production in various harsh ecological areas, and their genomes are likely to have acquired unique alleles for adaptation to such diverse production environments and other traits of economic importance. To investigate signals of selection for some selected goat breeds in Kenya, Alpine (n = 29), Galla (n = 12), Saanen (n = 24), and Toggenburg (n = 31) were considered. A total of 53,347 single-nucleotide polymorphisms (SNPs) generated using the Illumina GoatSNP50 BeadChip were analyzed. After quality control, 47,663 autosomal single-nucleotide polymorphisms remained for downstream analyses. Several complementary approaches were applied for the following analyses: integrated Haplotype Score (iHS), cross-population-extended haplotype homozygosity (XP-EHH), hapFLK, and FLK. A total of 404 top genomic regions were identified across all the four breeds, based on the four complementary analyses. Out of the 16 identified putative selection signature regions by the intersection of multiple-selective signal analyses, most of the putative regions were found to overlap significantly with the iHS and XP-EHH analyses on chromosomes 3, 4, 10, 15, 22, and 26. These regions were enriched with some genes involved in pathways associated directly or indirectly with environmental adaptation regulating immune responses (e.g., HYAL1 and HYAL3), milk production (e.g., LEPR and PDE4B), and adaptability (e.g., MST1 and PCK). The results revealed few intersect between breeds in genomic selection signature regions. In general, this did not present the typical classic selection signatures as predicted due to the complex nature of the traits. The results support that some various selection pressures (e.g., environmental challenges, artificial selection, and genome admixture challenges) have molded the genome of goat breeds in Kenya. Therefore, the research provides new knowledge on the conservation and utilization of these goat genetic resources in Kenya. In-depth research is needed to detect precise genes connected with adaptation and production in goat breeds in Kenya.
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Affiliation(s)
- Ruth W Waineina
- Department of Animal Sciences, Animal Breeding and Genomics Group, Egerton University, Egerton, Kenya.,Dairy Research Institute, Kenya Agricultural and Livestock Organization, Naivasha, Kenya
| | - Tobias O Okeno
- Department of Animal Sciences, Animal Breeding and Genomics Group, Egerton University, Egerton, Kenya
| | - Evans D Ilatsia
- Dairy Research Institute, Kenya Agricultural and Livestock Organization, Naivasha, Kenya
| | - Kiplangat Ngeno
- Department of Animal Sciences, Animal Breeding and Genomics Group, Egerton University, Egerton, Kenya
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26
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Pakpahan S, Widayanti R, Artama WT. Selection signatures and formation of the Samosir goat breed through the cultures of the Batak Toba Tribe in Samosir Island, Indonesia. Vet World 2022; 15:1044-1050. [PMID: 35698517 PMCID: PMC9178575 DOI: 10.14202/vetworld.2022.1044-1050] [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: 12/29/2021] [Accepted: 03/11/2022] [Indexed: 11/16/2022] Open
Abstract
Background and Aim: The Samosir goat has a high cultural value and is a source of germplasm in Indonesia. This study aimed to reveal the history and selection signatures of the Samosir goat. Materials and Methods: A total of 25 goats were divided into seven subpopulations of Indonesian goat breeds. Deoxyribonucleic acid (DNA) from blood samples was isolated with the use of the gSYNC™ DNA Mini Kit (Geneaid, Taipei, Taiwan). Cytb gene amplification was performed by the polymerase chain reaction (PCR) method, and the PCR products were sequenced. A phylogenetic tree was constructed by the neighbor-joining method using MEGA 11 software. A questionnaire was used to collect information related to the history and breeding practices of the Samosir goat on Samosir Island. Results: Samosir goats are divided into four groups based on their coat color: Completely white, white with brown spots, white with black spots, and white with brown and black spots. The body form of the Samosir goat is similar to that of the Kacang goat. The space below a traditional Toba Batak house is used as a goat pen. The genetic difference between the Samosir goat and the Kacang goat based on the Cytb gene was approximately 0.1%. Conclusion: Phylogenetic analysis between Samosir goats and other indigenous Indonesian goats revealed that Samosir goats form a single clade, with a very close genetic distance from other local goats, such as the Kacang goat. The Toba Batak culture on Samosir Island has significantly influenced the selection and formation of the Samosir goat breed.
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Affiliation(s)
- Suhendra Pakpahan
- Museum Zoologicum Bogoriense, Research Center for Applied Zoology, National Research and Innovation Agency (BRIN), Cibinong, West Java, Indonesia
| | - Rini Widayanti
- Department of Biochemistry and Molecular Biology, Faculty of Veterinary Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Wayan T. Artama
- Department of Biochemistry and Molecular Biology, Faculty of Veterinary Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
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27
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28
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Graber JK, Signer-Hasler H, Burren A, Drögemüller C. Evaluation of truncating variants in the LCORL gene in relation to body size of goats from Switzerland. Anim Genet 2022; 53:237-239. [PMID: 35118693 PMCID: PMC9305788 DOI: 10.1111/age.13177] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 01/18/2022] [Indexed: 02/05/2023]
Affiliation(s)
| | - Heidi Signer-Hasler
- School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, Zollikofen, Switzerland
| | - Alexander Burren
- School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, Zollikofen, Switzerland
| | - Cord Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
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29
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Signer-Hasler H, Henkel J, Bangerter E, Bulut Z, Drögemüller C, Leeb T, Flury C. Runs of homozygosity in Swiss goats reveal genetic changes associated with domestication and modern selection. Genet Sel Evol 2022; 54:6. [PMID: 35073837 PMCID: PMC8785455 DOI: 10.1186/s12711-022-00695-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 01/06/2022] [Indexed: 11/16/2022] Open
Abstract
Background The domestication of goat (Capra hircus) started 11,000 years ago in the fertile crescent. Breed formation in the nineteenth century, establishment of herd books, and selection for specific traits resulted in 10 modern goat breeds in Switzerland. We analyzed whole-genome sequencing (WGS) data from 217 modern goats and nine wild Bezoar goats (Capra aegagrus). After quality control, 27,728,288 biallelic single nucleotide variants (SNVs) were used for the identification of runs of homozygosity (ROH) and the detection of ROH islands. Results Across the 226 caprine genomes from 11 populations, we detected 344 ROH islands that harbor 1220 annotated genes. We compared the ROH islands between the modern breeds and the Bezoar goats. As a proof of principle, we confirmed a signature of selection, which contains the ASIP gene that controls several breed-specific coat color patterns. In two other ROH islands, we identified two missense variants, STC1:p.Lys139Arg and TSHR:p.Ala239Thr, which might represent causative functional variants for domestication signatures. Conclusions We have shown that the information from ROH islands using WGS data is suitable for the analysis of signatures of selection and allowed the detection of protein coding variants that may have conferred beneficial phenotypes during goat domestication. We hypothesize that the TSHR:p.Ala239Thr variant may have played a role in changing the seasonality of reproduction in modern domesticated goats. The exact functional significance of the STC1:p.Lys139Arg variant remains unclear and requires further investigation. Nonetheless, STC1 might represent a new domestication gene affecting relevant traits such as body size and/or milk yield in goats. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-022-00695-w.
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Affiliation(s)
- Heidi Signer-Hasler
- School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, 3052, Zollikofen, Switzerland.
| | - Jan Henkel
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Erika Bangerter
- Swiss Goat Breeding Association SZZV, Schützenstrasse 10, 3052, Zollikofen, Switzerland
| | - Zafer Bulut
- Department of Biochemistry, Faculty of Veterinary Medicine, Selcuk University, Konya, Turkey
| | | | - Cord Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001, Bern, Switzerland
| | - Christine Flury
- School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, 3052, Zollikofen, Switzerland
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30
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Guo S, Wu X, Pei J, Wang X, Bao P, Xiong L, Chu M, Liang C, Yan P, Guo X. Genome-wide CNV analysis reveals variants associated with high-altitude adaptation and meat traits in Qaidam cattle. ELECTRON J BIOTECHN 2021. [DOI: 10.1016/j.ejbt.2021.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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31
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Detection of whole genome selection signatures of Pakistani Teddy goat. Mol Biol Rep 2021; 48:7273-7280. [PMID: 34609690 DOI: 10.1007/s11033-021-06726-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 09/27/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Natural and artificial selection tend to cause variability that contributes to shape the genome of livestock in a way that differentiates them among the animal kingdom. The particular aim here is to identify positive selection signatures with whole genome pooled-sequence data of Pakistani Teddy goat. METHODS AND RESULTS Paired-end alignment of 635,357,043 reads of Teddy goat with (ARS1) reference genome assembly was carried out. Pooled-Heterozygosity (Hp) and Tajima's D (TD) are applied for validation and getting better hits of selection signals, while pairwise FST statistics is conducted on Teddy vs. Bezoar (wild goat ancestor) for genomic differentiation, moreover annotation of regions under positive selection was also performed. Hp score with - ZHp > 5 detected six windows having highest hits on Chr. 29, 9, 25, 15 and 14 that harbor HRASLS5, LACE1 and AXIN1 genes which are candidate for embryonic development, lactation and body height. Secondly, - ZTD value of > 3.3 showed 4 windows with very strong hits on Chr.5 & 9 which harbor STIM1 and ADM genes related to body mass and weight. Lastly, - ZFST < - 5 generated four strong signals on Chr.5 & 12 harbor LOC102183233 gene. Other significant selection signatures encompass genes associated with wool production, prolificacy and coat colors traits in this breed. CONCLUSIONS In brief, this study identified the genes under selection in Pakistani Teddy goat that will be helpful to refining the marker-assisted breeding policies and converging required production traits within and across other goat breeds and to explore full genetic potential of this valued species of livestock.
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Gupta PK. GWAS for genetics of complex quantitative traits: Genome to pangenome and SNPs to SVs and k-mers. Bioessays 2021; 43:e2100109. [PMID: 34486143 DOI: 10.1002/bies.202100109] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 08/21/2021] [Accepted: 08/23/2021] [Indexed: 12/22/2022]
Abstract
The development of improved methods for genome-wide association studies (GWAS) for genetics of quantitative traits has been an active area of research during the last 25 years. This activity initially started with the use of mixed linear model (MLM), which was variously modified. During the last decade, however, with the availability of high throughput next generation sequencing (NGS) technology, development and use of pangenomes and novel markers including structural variations (SVs) and k-mers for GWAS has taken over as a new thrust area of research. Pangenomes and SVs are now available in humans, livestock, and a number of plant species, so that these resources along with k-mers are being used in GWAS for exploring additional genetic variation that was hitherto not available for analysis. These developments have resulted in significant improvement in GWAS methodology for detection of marker-trait associations (MTAs) that are relevant to human healthcare and crop improvement.
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Affiliation(s)
- Pushpendra K Gupta
- Department of Genetics and Plant Breeding, Ch. Charan Singh University Meerut, Meerut, Uttar Pradesh, India
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33
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Henkel J, Dubacher A, Bangerter E, Herren U, Ammann P, Drögemüller C, Flury C, Leeb T. Introgression of ASIP and TYRP1 Alleles Explains Coat Color Variation in Valais Goats. J Hered 2021; 112:452-457. [PMID: 34050662 DOI: 10.1093/jhered/esab024] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 04/21/2021] [Indexed: 11/13/2022] Open
Abstract
The Valais Blackneck goat is a Swiss goat breed with a characteristic coat color phenotype. Before the revision of the breed standard in 1938, 4 different color varieties of Valais goats were known. Besides Blackneck animals resembling the modern breed standard, the brown and white Copperneck goat, the white Capra Sempione, and the greyish Grüenochte comprised the historic Valais goats. The brown pigmentation of Copperneck goats had previously been traced back to an introgression of a mutant TYRP1 allele from Toggenburg goats. In the present study, we identified additional introgression events of distinct ASIP alleles causing the remaining 2 rare coat color patterns within the Valais Blackneck goat breed. We identified the introgression of the AWt allele from Appenzell or Saanen goats in white Capra Sempione goats. Similarly, introgression of the Apc allele from Peacock goats resulted in the greyish Grüenochte phenotype. These results demonstrate past hybridization events between breeds that are separated today. A perfect genotype-phenotype association in 393 Valais goats supported the causality of the genotyped variants for the different coat color phenotypes. Our study gives insights into the introgression of functionally relevant copy number variant (CNV) alleles controlling pigmentation between goat breeds with strikingly different coat color patterns.
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Affiliation(s)
- Jan Henkel
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bremgartenstrasse 109a, 3001 Bern, Switzerland.,DermFocus, University of Bern, 3001 Bern, Switzerland
| | - Alexandra Dubacher
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bremgartenstrasse 109a, 3001 Bern, Switzerland
| | - Erika Bangerter
- Swiss Goat Breeding Association, 3052 Zollikofen, Switzerland
| | - Ursula Herren
- Swiss Goat Breeding Association, 3052 Zollikofen, Switzerland
| | | | - Cord Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bremgartenstrasse 109a, 3001 Bern, Switzerland.,DermFocus, University of Bern, 3001 Bern, Switzerland
| | - Christine Flury
- School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, 3052 Zollikofen, Switzerland
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bremgartenstrasse 109a, 3001 Bern, Switzerland.,DermFocus, University of Bern, 3001 Bern, Switzerland
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Guirao‐Rico S, González J. Benchmarking the performance of Pool-seq SNP callers using simulated and real sequencing data. Mol Ecol Resour 2021; 21:1216-1229. [PMID: 33534960 PMCID: PMC8251607 DOI: 10.1111/1755-0998.13343] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 12/21/2020] [Accepted: 01/27/2021] [Indexed: 12/13/2022]
Abstract
Population genomics is a fast-developing discipline with promising applications in a growing number of life sciences fields. Advances in sequencing technologies and bioinformatics tools allow population genomics to exploit genome-wide information to identify the molecular variants underlying traits of interest and the evolutionary forces that modulate these variants through space and time. However, the cost of genomic analyses of multiple populations is still too high to address them through individual genome sequencing. Pooling individuals for sequencing can be a more effective strategy in Single Nucleotide Polymorphism (SNP) detection and allele frequency estimation because of a higher total coverage. However, compared to individual sequencing, SNP calling from pools has the additional difficulty of distinguishing rare variants from sequencing errors, which is often avoided by establishing a minimum threshold allele frequency for the analysis. Finding an optimal balance between minimizing information loss and reducing sequencing costs is essential to ensure the success of population genomics studies. Here, we have benchmarked the performance of SNP callers for Pool-seq data, based on different approaches, under different conditions, and using computer simulations and real data. We found that SNP callers performance varied for allele frequencies up to 0.35. We also found that SNP callers based on Bayesian (SNAPE-pooled) or maximum likelihood (MAPGD) approaches outperform the two heuristic callers tested (VarScan and PoolSNP), in terms of the balance between sensitivity and FDR both in simulated and sequencing data. Our results will help inform the selection of the most appropriate SNP caller not only for large-scale population studies but also in cases where the Pool-seq strategy is the only option, such as in metagenomic or polyploid studies.
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Affiliation(s)
- Sara Guirao‐Rico
- Institute of Evolutionary BiologyCSIC‐Universitat Pompeu FabraBarcelonaSpain
| | - Josefa González
- Institute of Evolutionary BiologyCSIC‐Universitat Pompeu FabraBarcelonaSpain
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Trigo BB, Utsunomiya ATH, Fortunato AAAD, Milanesi M, Torrecilha RBP, Lamb H, Nguyen L, Ross EM, Hayes B, Padula RCM, Sussai TS, Zavarez LB, Cipriano RS, Caminhas MMT, Lopes FL, Pelle C, Leeb T, Bannasch D, Bickhart D, Smith TPL, Sonstegard TS, Garcia JF, Utsunomiya YT. Variants at the ASIP locus contribute to coat color darkening in Nellore cattle. Genet Sel Evol 2021; 53:40. [PMID: 33910501 PMCID: PMC8082809 DOI: 10.1186/s12711-021-00633-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 04/16/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Nellore cattle (Bos indicus) are well-known for their adaptation to warm and humid environments. Hair length and coat color may impact heat tolerance. The Nellore breed has been strongly selected for white coat, but bulls generally exhibit darker hair ranging from light grey to black on the head, neck, hump, and knees. Given the potential contribution of coat color variation to the adaptation of cattle populations to tropical and sub-tropical environments, our aim was to map positional and functional candidate genetic variants associated with darkness of hair coat (DHC) in Nellore bulls. RESULTS We performed a genome-wide association study (GWAS) for DHC using data from 432 Nellore bulls that were genotyped for more than 777 k single nucleotide polymorphism (SNP) markers. A single major association signal was detected in the vicinity of the agouti signaling protein gene (ASIP). The analysis of whole-genome sequence (WGS) data from 21 bulls revealed functional variants that are associated with DHC, including a structural rearrangement involving ASIP (ASIP-SV1). We further characterized this structural variant using Oxford Nanopore sequencing data from 13 Australian Brahman heifers, which share ancestry with Nellore cattle; we found that this variant originates from a 1155-bp deletion followed by an insertion of a transposable element of more than 150 bp that may impact the recruitment of ASIP non-coding exons. CONCLUSIONS Our results indicate that the variant ASIP sequence causes darker coat pigmentation on specific parts of the body, most likely through a decreased expression of ASIP and consequently an increased production of eumelanin.
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Affiliation(s)
- Beatriz B Trigo
- School of Veterinary Medicine, Araçatuba, Department of Production and Animal Health, São Paulo State University (Unesp), Araçatuba, SP, Brazil.,International Atomic Energy Agency (IAEA) Collaborating Centre On Animal Genomics and Bioinformatics, Araçatuba, SP, Brazil
| | - Adam T H Utsunomiya
- International Atomic Energy Agency (IAEA) Collaborating Centre On Animal Genomics and Bioinformatics, Araçatuba, SP, Brazil.,AgroPartners Consulting, R. Floriano Peixoto, 120-Sala 43a-Centro, Araçatuba, SP, 16010-220, Brazil
| | - Alvaro A A D Fortunato
- School of Veterinary Medicine, Araçatuba, Department of Production and Animal Health, São Paulo State University (Unesp), Araçatuba, SP, Brazil.,International Atomic Energy Agency (IAEA) Collaborating Centre On Animal Genomics and Bioinformatics, Araçatuba, SP, Brazil.,Personal-PEC, R. Sebastião Lima, 1336-Centro, Campo Grande, MS, 79004-600, Brazil
| | - Marco Milanesi
- School of Veterinary Medicine, Araçatuba, Department of Production and Animal Health, São Paulo State University (Unesp), Araçatuba, SP, Brazil.,International Atomic Energy Agency (IAEA) Collaborating Centre On Animal Genomics and Bioinformatics, Araçatuba, SP, Brazil.,AgroPartners Consulting, R. Floriano Peixoto, 120-Sala 43a-Centro, Araçatuba, SP, 16010-220, Brazil
| | - Rafaela B P Torrecilha
- International Atomic Energy Agency (IAEA) Collaborating Centre On Animal Genomics and Bioinformatics, Araçatuba, SP, Brazil.,AgroPartners Consulting, R. Floriano Peixoto, 120-Sala 43a-Centro, Araçatuba, SP, 16010-220, Brazil
| | - Harrison Lamb
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Australia
| | - Loan Nguyen
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Australia
| | - Elizabeth M Ross
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Australia
| | - Ben Hayes
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Australia
| | | | - Thayla S Sussai
- Centro Universitário Católico Salesiano, Araçatuba, SP, Brazil
| | - Ludmilla B Zavarez
- International Atomic Energy Agency (IAEA) Collaborating Centre On Animal Genomics and Bioinformatics, Araçatuba, SP, Brazil
| | | | - Maria M T Caminhas
- School of Veterinary Medicine, Araçatuba, Department of Production and Animal Health, São Paulo State University (Unesp), Araçatuba, SP, Brazil
| | - Flavia L Lopes
- School of Veterinary Medicine, Araçatuba, Department of Production and Animal Health, São Paulo State University (Unesp), Araçatuba, SP, Brazil
| | | | - Tosso Leeb
- Institute of Genetics, Vetsuisse-Faculty, University of Bern, Bremgartenstrasse 109A, 3012, Bern, Switzerland.,Dermfocus, University of Bern, Bremgartenstrasse 109A, 3012, Bern, Switzerland
| | - Danika Bannasch
- Institute of Genetics, Vetsuisse-Faculty, University of Bern, Bremgartenstrasse 109A, 3012, Bern, Switzerland.,Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA, 95616, USA
| | - Derek Bickhart
- Dairy Forage Research Center, USDA-ARS, 1925 Linden Drive, Madison, WI, 53706, USA
| | - Timothy P L Smith
- US. Meat Animal Research Center, USDA-ARS, 844 Road 313, Clay Center, NE, 68933, USA
| | | | - José F Garcia
- School of Veterinary Medicine, Araçatuba, Department of Production and Animal Health, São Paulo State University (Unesp), Araçatuba, SP, Brazil.,International Atomic Energy Agency (IAEA) Collaborating Centre On Animal Genomics and Bioinformatics, Araçatuba, SP, Brazil.,AgroPartners Consulting, R. Floriano Peixoto, 120-Sala 43a-Centro, Araçatuba, SP, 16010-220, Brazil.,School of Agriculture and Veterinarian Sciences, Jaboticabal, Department of Preventive Veterinary Medicine and Animal Reproduction, São Paulo State University (Unesp), Jaboticabal, SP, Brazil
| | - Yuri T Utsunomiya
- School of Veterinary Medicine, Araçatuba, Department of Production and Animal Health, São Paulo State University (Unesp), Araçatuba, SP, Brazil. .,International Atomic Energy Agency (IAEA) Collaborating Centre On Animal Genomics and Bioinformatics, Araçatuba, SP, Brazil. .,AgroPartners Consulting, R. Floriano Peixoto, 120-Sala 43a-Centro, Araçatuba, SP, 16010-220, Brazil.
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Guan D, Castelló A, Luigi-Sierra MG, Landi V, Delgado JV, Martínez A, Amills M. Estimating the copy number of the agouti signaling protein (ASIP) gene in goat breeds with different color patterns. Livest Sci 2021. [DOI: 10.1016/j.livsci.2021.104440] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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37
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Liang D, Zhao P, Si J, Fang L, Pairo-Castineira E, Hu X, Xu Q, Hou Y, Gong Y, Liang Z, Tian B, Mao H, Yindee M, Faruque MO, Kongvongxay S, Khamphoumee S, Liu GE, Wu DD, Barker JSF, Han J, Zhang Y. Genomic Analysis Revealed a Convergent Evolution of LINE-1 in Coat Color: A Case Study in Water Buffaloes (Bubalus bubalis). Mol Biol Evol 2021; 38:1122-1136. [PMID: 33212507 PMCID: PMC7947781 DOI: 10.1093/molbev/msaa279] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Visible pigmentation phenotypes can be used to explore the regulation of gene expression and the evolution of coat color patterns in animals. Here, we performed whole-genome and RNA sequencing and applied genome-wide association study, comparative population genomics and biological experiments to show that the 2,809-bp-long LINE-1 insertion in the ASIP (agouti signaling protein) gene is the causative mutation for the white coat phenotype in swamp buffalo (Bubalus bubalis). This LINE-1 insertion (3' truncated and containing only 5' UTR) functions as a strong proximal promoter that leads to a 10-fold increase in the transcription of ASIP in white buffalo skin. The 165 bp of 5' UTR transcribed from the LINE-1 is spliced into the first coding exon of ASIP, resulting in a chimeric transcript. The increased expression of ASIP prevents melanocyte maturation, leading to the absence of pigment in white buffalo skin and hairs. Phylogenetic analyses indicate that the white buffalo-specific ASIP allele originated from a recent genetic transposition event in swamp buffalo. Interestingly, as a similar LINE-1 insertion has been identified in the cattle ASIP gene, we discuss the convergent mechanism of coat color evolution in the Bovini tribe.
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Affiliation(s)
- Dong Liang
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding and Reproduction of MOAR, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Pengju Zhao
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding and Reproduction of MOAR, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jingfang Si
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding and Reproduction of MOAR, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lingzhao Fang
- Medical Research Council Human Genetics Unit at the Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Erola Pairo-Castineira
- Medical Research Council Human Genetics Unit at the Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Xiaoxiang Hu
- State Key Laboratory of AgroBiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Qing Xu
- College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, China
| | - Yali Hou
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Yu Gong
- Guizhou Domestic Animal Genetic Resources Management Station, Guiyang, China
| | - Zhengwen Liang
- Agriculture and Rural Affairs Bureau of Fenggang County, Zunyi, China
| | - Bing Tian
- Animal Disease Prevention and Control Station of Zunyi City, Zunyi, China
| | - Huaming Mao
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Marnoch Yindee
- Akkhararatchakumari Veterinary College (AVC), Walailak University, Nakorn Si Thammarat, Thailand
| | - Md Omar Faruque
- Department of Animal Breeding and Genetics, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Siton Kongvongxay
- Livestock Research Center, National Agriculture and Forestry Research Institute, Ministry of Agriculture and Forestry, Vientiane, Lao PDR
| | - Souksamlane Khamphoumee
- Livestock Research Center, National Agriculture and Forestry Research Institute, Ministry of Agriculture and Forestry, Vientiane, Lao PDR
| | - George E Liu
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD
| | - Dong-Dong Wu
- Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - James Stuart F Barker
- School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia
| | - Jianlin Han
- International Livestock Research Institute (ILRI), Nairobi, Kenya
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Yi Zhang
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding and Reproduction of MOAR, College of Animal Science and Technology, China Agricultural University, Beijing, China
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38
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Copy number variation: Characteristics, evolutionary and pathological aspects. Biomed J 2021; 44:548-559. [PMID: 34649833 PMCID: PMC8640565 DOI: 10.1016/j.bj.2021.02.003] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 02/01/2021] [Accepted: 02/05/2021] [Indexed: 12/12/2022] Open
Abstract
Copy number variants (CNVs) were the subject of extensive research in the past years. They are common features of the human genome that play an important role in evolution, contribute to population diversity, development of certain diseases, and influence host–microbiome interactions. CNVs have found application in the molecular diagnosis of many diseases and in non-invasive prenatal care, but their full potential is only emerging. CNVs are expected to have a tremendous impact on screening, diagnosis, prognosis, and monitoring of several disorders, including cancer and cardiovascular disease. Here, we comprehensively review basic definitions of the term CNV, outline mechanisms and factors involved in CNV formation, and discuss their evolutionary and pathological aspects. We suggest a need for better defined distinguishing criteria and boundaries between known types of CNVs.
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39
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Dog colour patterns explained by modular promoters of ancient canid origin. Nat Ecol Evol 2021; 5:1415-1423. [PMID: 34385618 PMCID: PMC8484016 DOI: 10.1038/s41559-021-01524-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 07/01/2021] [Indexed: 02/06/2023]
Abstract
Distinctive colour patterns in dogs are an integral component of canine diversity. Colour pattern differences are thought to have arisen from mutation and artificial selection during and after domestication from wolves but important gaps remain in understanding how these patterns evolved and are genetically controlled. In other mammals, variation at the ASIP gene controls both the temporal and spatial distribution of yellow and black pigments. Here, we identify independent regulatory modules for ventral and hair cycle ASIP expression, and we characterize their action and evolutionary origin. Structural variants define multiple alleles for each regulatory module and are combined in different ways to explain five distinctive dog colour patterns. Phylogenetic analysis reveals that the haplotype combination for one of these patterns is shared with Arctic white wolves and that its hair cycle-specific module probably originated from an extinct canid that diverged from grey wolves more than 2 million years ago. Natural selection for a lighter coat during the Pleistocene provided the genetic framework for widespread colour variation in dogs and wolves.
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40
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Pallotti S, Chandramohan B, Pediconi D, Nocelli C, La Terza A, Renieri C. Interaction between the melanocortin 1 receptor (MC1R) and agouti signalling protein genes (ASIP), and their association with black and brown coat colour phenotypes in peruvian alpaca. ITALIAN JOURNAL OF ANIMAL SCIENCE 2020. [DOI: 10.1080/1828051x.2020.1850216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Stefano Pallotti
- Scuola di Scienze del Farmaco e dei Prodotti della salute, University of Camerino, Camerino, Italy
| | | | - Dario Pediconi
- Scuola di Scienze del Farmaco e dei Prodotti della salute, University of Camerino, Camerino, Italy
| | - Cristina Nocelli
- Scuola di Scienze del Farmaco e dei Prodotti della salute, University of Camerino, Camerino, Italy
| | - Antonietta La Terza
- Scuola di Bioscienze e Medicina Veterinaria, University of Camerino, Camerino, Italy
| | - Carlo Renieri
- Scuola di Scienze del Farmaco e dei Prodotti della salute, University of Camerino, Camerino, Italy
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41
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42
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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] [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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Atypical Genotypes for Canine Agouti Signaling Protein Suggest Novel Chromosomal Rearrangement. Genes (Basel) 2020; 11:genes11070739. [PMID: 32635139 PMCID: PMC7397341 DOI: 10.3390/genes11070739] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/19/2020] [Accepted: 06/24/2020] [Indexed: 02/05/2023] Open
Abstract
Canine coat color is a readily observed phenotype of great interest to dog enthusiasts; it is also an excellent avenue to explore the mechanisms of genetics and inheritance. As such, multiple commercial testing laboratories include basic color alleles in their popular screening panels, allowing for the creation of genotyped datasets at a scale not before appreciated in canine genetic research. These vast datasets have revealed rare genotype anomalies that encourage further exploration of color and pattern inheritance. We previously reported the simultaneous presence of greater than two allele variants at the Agouti Signaling Protein (ASIP) locus in a commercial genotype cohort of 11,790 canids. Here we present additional data to characterize the occurrence of anomalous ASIP genotypes. We document the detection of combinations of three or four ASIP allele variants in 17 dog breeds and Dingoes, at within-breed frequencies of 1.32–63.34%. We analyze the potential impact on phenotype that these allele combinations present, and propose mechanisms that could account for the findings, including: gene recombination, duplication, and incorrect causal variant identification. These findings speak to the accuracy of industry-wide protocols for commercial ASIP genotyping and imply that ASIP should be analyzed via haplotype, rather than using only the existing allele hierarchy, in the future.
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44
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E GX, Zhu YB, Basang WD, Na RS, Han YG, Zeng Y. Comparative and selection sweep analysis of CNV was associated to litter size in Dazu black goats. Anim Biotechnol 2020; 32:792-797. [PMID: 32293982 DOI: 10.1080/10495398.2020.1753756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
This study aims to identify the relative Copy number variation (CNV) associated with the litter size of Dazu black goats based on the unpublished CNV analytical results of our previously published sequencing data, in which the litter-size groups were classified into extreme low- and high-yield groups. Firstly, to compare the existence of valuable CNV in Dazu black goats with different fertility levels with mixed pools. We obtained 4992 and 4888 CNVs from the HY and LY, which overlapping 1461 genes, and classified on the original CNV type. Three genes [LOC108633278, PPP1R12A, and YIPF4] were observed in the intersection between the HY deletion and the LY duplication groups. Secondly, on individuals level, we identified a novel candidate CNV (Chr1_50215501, FST = 0.148, VST = 0.347) from 214 autosomal credible CNVs to be significant with litter size in the Dazu black goat, which located in the CBLB gene. This finding indicates the CBLB gene may affect the litter size of the Dazu black goats through structural variations, and Chr1_50215501 can be an effective genetic marker for marker-assisted selection breeding, and this study was also helps understand the molecular mechanism related to the goat litter size.
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Affiliation(s)
- Guang-Xin E
- College of Animal Science and Technology, Southwest University, Chongqing, China.,State Key Laboratory of Barley and Yak Germplasm Resources and Genetic Improvement, Tibet Academy of Agricultural and Animal Husbandry Science (TAAAS), Lhasa, China
| | - Yan-Bin Zhu
- State Key Laboratory of Barley and Yak Germplasm Resources and Genetic Improvement, Tibet Academy of Agricultural and Animal Husbandry Science (TAAAS), Lhasa, China
| | - Wang-Dui Basang
- State Key Laboratory of Barley and Yak Germplasm Resources and Genetic Improvement, Tibet Academy of Agricultural and Animal Husbandry Science (TAAAS), Lhasa, China
| | - Ri-Su Na
- College of Animal Science and Technology, Southwest University, Chongqing, China
| | - Yan-Guo Han
- College of Animal Science and Technology, Southwest University, Chongqing, China
| | - Yan Zeng
- College of Animal Science and Technology, Southwest University, Chongqing, China
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45
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Saif R, Henkel J, Jagannathan V, Drögemüller C, Flury C, Leeb T. The LCORL Locus is under Selection in Large-Sized Pakistani Goat Breeds. Genes (Basel) 2020; 11:genes11020168. [PMID: 32033434 PMCID: PMC7074466 DOI: 10.3390/genes11020168] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 01/29/2020] [Accepted: 01/29/2020] [Indexed: 12/16/2022] Open
Abstract
Goat domestication and human selection for valued traits have formed diverse breeds with characteristic phenotypes. This process led to the fixation of causative genetic variants controlling breed-specific traits within regions of reduced genetic diversity-so-called "selection signatures". We previously reported an analysis of selection signatures based on pooled whole-genome sequencing data of 20 goat breeds and bezoar goats. In the present study, we reanalyzed the data and focused on a subset of eight Pakistani goat breeds (Angora, Barbari, Beetal, Dera Din Panah, Kamori, Nachi, Pahari, Teddy). We identified 749 selection signatures based on reduced heterozygosity in these breeds. A search for signatures that are shared across large-sized goat breeds revealed that five medium-to-large-sized Pakistani goat breeds had a common selection signature on chromosome 6 in a region harboring the LCORL gene, which has been shown to modulate height or body size in several mammalian species. Fine-mapping of the region confirmed that all five goat breeds with the selection signature were nearly fixed for the same haplotype in a ~191 kb region spanning positions 37,747,447-37,938,449. From the pool sequencing data, we identified a frame-shifting single base insertion into an isoform-specific exon of LCORL as a potential candidate causal variant mediating the size-increasing effect. If this preliminary result can be confirmed in independent replication studies, genotyping of this variant might be used to improve breeding programs and the selection for stature in goats.
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Affiliation(s)
- Rashid Saif
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001 Bern, Switzerland; (R.S.); (J.H.); (V.J.); (C.D.)
- Institute of Biotechnology, Gulab Devi Educational Complex, Lahore 54000, Pakistan
| | - Jan Henkel
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001 Bern, Switzerland; (R.S.); (J.H.); (V.J.); (C.D.)
| | - Vidhya Jagannathan
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001 Bern, Switzerland; (R.S.); (J.H.); (V.J.); (C.D.)
| | - Cord Drögemüller
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001 Bern, Switzerland; (R.S.); (J.H.); (V.J.); (C.D.)
| | - Christine Flury
- School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, 3052 Zollikofen, Switzerland;
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, 3001 Bern, Switzerland; (R.S.); (J.H.); (V.J.); (C.D.)
- Correspondence: ; Tel.: +41-31-631-23-26
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