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Nunes JDRDS, Liu S, Pértille F, Perazza CA, Villela PMS, de Almeida-Val VMF, Hilsdorf AWS, Liu Z, Coutinho LL. Large-scale SNP discovery and construction of a high-density genetic map of Colossoma macropomum through genotyping-by-sequencing. Sci Rep 2017; 7:46112. [PMID: 28387238 PMCID: PMC5384230 DOI: 10.1038/srep46112] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 03/06/2017] [Indexed: 11/11/2022] Open
Abstract
Colossoma macropomum, or tambaqui, is the largest native Characiform species found in the Amazon and Orinoco river basins, yet few resources for genetic studies and the genetic improvement of tambaqui exist. In this study, we identified a large number of single-nucleotide polymorphisms (SNPs) for tambaqui and constructed a high-resolution genetic linkage map from a full-sib family of 124 individuals and their parents using the genotyping by sequencing method. In all, 68,584 SNPs were initially identified using minimum minor allele frequency (MAF) of 5%. Filtering parameters were used to select high-quality markers for linkage analysis. We selected 7,734 SNPs for linkage mapping, resulting in 27 linkage groups with a minimum logarithm of odds (LOD) of 8 and maximum recombination fraction of 0.35. The final genetic map contains 7,192 successfully mapped markers that span a total of 2,811 cM, with an average marker interval of 0.39 cM. Comparative genomic analysis between tambaqui and zebrafish revealed variable levels of genomic conservation across the 27 linkage groups which allowed for functional SNP annotations. The large-scale SNP discovery obtained here, allowed us to build a high-density linkage map in tambaqui, which will be useful to enhance genetic studies that can be applied in breeding programs.
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Affiliation(s)
- José de Ribamar da Silva Nunes
- Animal Science department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil.,The Fish Molecular Genetics and Biotechnology Laboratory, Aquatic Genomics Unit, School of Fisheries, Aquaculture and Aquatic Sciences and Program of Cell and Molecular Biosciences, Auburn University, Auburn, AL, 36849, United States of America.,Nature and Culture Institute, Federal University of Amazon (UFAM), Benjamin Constant, Amazonas, Brazil
| | - Shikai Liu
- The Fish Molecular Genetics and Biotechnology Laboratory, Aquatic Genomics Unit, School of Fisheries, Aquaculture and Aquatic Sciences and Program of Cell and Molecular Biosciences, Auburn University, Auburn, AL, 36849, United States of America
| | - Fábio Pértille
- Animal Science department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | - Caio Augusto Perazza
- Unit of Biotechnology, University of Mogi das Cruzes, P.O. Box 411, 08701-970, Mogi das Cruzes, SP, Brazil
| | - Priscilla Marqui Schmidt Villela
- Animal Science department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | - Vera Maria Fonseca de Almeida-Val
- Brazilian National Institute for Research of the Amazon, Laboratory of Ecophysiology and Molecular Evolution, Manaus, Amazonas, Brazil.,University Nilton Lins, Aquaculture Graduate Program, Manaus, Amazonas, Brazil
| | | | - Zhanjiang Liu
- The Fish Molecular Genetics and Biotechnology Laboratory, Aquatic Genomics Unit, School of Fisheries, Aquaculture and Aquatic Sciences and Program of Cell and Molecular Biosciences, Auburn University, Auburn, AL, 36849, United States of America
| | - Luiz Lehmann Coutinho
- Animal Science department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
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Pértille F, Moreira GCM, Zanella R, Nunes JDRDS, Boschiero C, Rovadoscki GA, Mourão GB, Ledur MC, Coutinho LL. Genome-wide association study for performance traits in chickens using genotype by sequencing approach. Sci Rep 2017; 7:41748. [PMID: 28181508 PMCID: PMC5299454 DOI: 10.1038/srep41748] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Accepted: 12/23/2016] [Indexed: 12/11/2022] Open
Abstract
Performance traits are economically important and are targets for selection in breeding programs, especially in the poultry industry. To identify regions on the chicken genome associated with performance traits, different genomic approaches have been applied in the last years. The aim of this study was the application of CornellGBS approach (134,528 SNPs generated from a PstI restriction enzyme) on Genome-Wide Association Studies (GWAS) in an outbred F2 chicken population. We have validated 91.7% of these 134,528 SNPs after imputation of missed genotypes. Out of those, 20 SNPs were associated with feed conversion, one was associated with body weight at 35 days of age (P < 7.86E-07) and 93 were suggestively associated with a variety of performance traits (P < 1.57E-05). The majority of these SNPs (86.2%) overlapped with previously mapped QTL for the same performance traits and some of the SNPs also showed novel potential QTL regions. The results obtained in this study suggests future searches for candidate genes and QTL refinements as well as potential use of the SNPs described here in breeding programs.
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Affiliation(s)
- Fábio Pértille
- University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | | | - Ricardo Zanella
- College of Agronomy and Veterinary Medicine, Veterinary School, University of Passo Fundo, Rio Grande do Sul, Brazil
| | | | - Clarissa Boschiero
- University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | - Gregori Alberto Rovadoscki
- University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | - Gerson Barreto Mourão
- University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | | | - Luiz Lehmann Coutinho
- University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
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Pértille F, Guerrero-Bosagna C, Silva VHD, Boschiero C, Nunes JDRDS, Ledur MC, Jensen P, Coutinho LL. High-throughput and Cost-effective Chicken Genotyping Using Next-Generation Sequencing. Sci Rep 2016; 6:26929. [PMID: 27220827 PMCID: PMC4879531 DOI: 10.1038/srep26929] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Accepted: 05/10/2016] [Indexed: 12/23/2022] Open
Abstract
Chicken genotyping is becoming common practice in conventional animal breeding improvement. Despite the power of high-throughput methods for genotyping, their high cost limits large scale use in animal breeding and selection. In the present paper we optimized the CornellGBS, an efficient and cost-effective genotyping by sequence approach developed in plants, for its application in chickens. Here we describe the successful genotyping of a large number of chickens (462) using CornellGBS approach. Genomic DNA was cleaved with the PstI enzyme, ligated to adapters with barcodes identifying individual animals, and then sequenced on Illumina platform. After filtering parameters were applied, 134,528 SNPs were identified in our experimental population of chickens. Of these SNPs, 67,096 had a minimum taxon call rate of 90% and were considered 'unique tags'. Interestingly, 20.7% of these unique tags have not been previously reported in the dbSNP. Moreover, 92.6% of these SNPs were concordant with a previous Whole Chicken-genome re-sequencing dataset used for validation purposes. The application of CornellGBS in chickens showed high performance to infer SNPs, particularly in exonic regions and microchromosomes. This approach represents a cost-effective (~US$50/sample) and powerful alternative to current genotyping methods, which has the potential to improve whole-genome selection (WGS), and genome-wide association studies (GWAS) in chicken production.
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Affiliation(s)
- Fábio Pértille
- Animal Biotechnology Laboratory, Animal Science and Pastures Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | - Carlos Guerrero-Bosagna
- IFM Biology, AVIAN Behavioural Genomics and Physiology Group, Linköping University, Linköping, Sweden
| | - Vinicius Henrique da Silva
- Animal Biotechnology Laboratory, Animal Science and Pastures Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | - Clarissa Boschiero
- Animal Biotechnology Laboratory, Animal Science and Pastures Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | - José de Ribamar da Silva Nunes
- Animal Biotechnology Laboratory, Animal Science and Pastures Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | - Mônica Corrêa Ledur
- Brazilian Agricultural Research Corporation (EMBRAPA) Swine &Poultry, Concórdia, Santa Catarina, Brazil
| | - Per Jensen
- IFM Biology, AVIAN Behavioural Genomics and Physiology Group, Linköping University, Linköping, Sweden
| | - Luiz Lehmann Coutinho
- Animal Biotechnology Laboratory, Animal Science and Pastures Department, University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
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