Cargando…
A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids
BACKGROUND: Genotyping-by-sequencing (GBS) has been used broadly in genetic studies for several species, especially those with agricultural importance. However, its use is still limited in autopolyploid species because genotype calling software generally fails to properly distinguish heterozygous cl...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211426/ https://www.ncbi.nlm.nih.gov/pubmed/30382832 http://dx.doi.org/10.1186/s12859-018-2433-6 |
_version_ | 1783367329509277696 |
---|---|
author | Pereira, Guilherme S. Garcia, Antonio Augusto F. Margarido, Gabriel R. A. |
author_facet | Pereira, Guilherme S. Garcia, Antonio Augusto F. Margarido, Gabriel R. A. |
author_sort | Pereira, Guilherme S. |
collection | PubMed |
description | BACKGROUND: Genotyping-by-sequencing (GBS) has been used broadly in genetic studies for several species, especially those with agricultural importance. However, its use is still limited in autopolyploid species because genotype calling software generally fails to properly distinguish heterozygous classes based on allele dosage. RESULTS: VCF2SM is a Python script that integrates sequencing depth information of polymorphisms in variant call format (VCF) files and SuperMASSA software for quantitative genotype calling. VCFs can be obtained from any variant discovery software that outputs exact allele sequencing depth, such as a modified version of the Tassel-GBS pipeline provided here. VCF2SM was successfully applied in analyzing GBS data from diverse panels (alfalfa and potato) and full-sib mapping populations (alfalfa and switchgrass) of polyploid species. CONCLUSIONS: We demonstrate that our approach can help plant geneticists working with autopolyploid species to advance their studies by distinguishing allele dosage from GBS data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2433-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6211426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62114262018-11-08 A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids Pereira, Guilherme S. Garcia, Antonio Augusto F. Margarido, Gabriel R. A. BMC Bioinformatics Software BACKGROUND: Genotyping-by-sequencing (GBS) has been used broadly in genetic studies for several species, especially those with agricultural importance. However, its use is still limited in autopolyploid species because genotype calling software generally fails to properly distinguish heterozygous classes based on allele dosage. RESULTS: VCF2SM is a Python script that integrates sequencing depth information of polymorphisms in variant call format (VCF) files and SuperMASSA software for quantitative genotype calling. VCFs can be obtained from any variant discovery software that outputs exact allele sequencing depth, such as a modified version of the Tassel-GBS pipeline provided here. VCF2SM was successfully applied in analyzing GBS data from diverse panels (alfalfa and potato) and full-sib mapping populations (alfalfa and switchgrass) of polyploid species. CONCLUSIONS: We demonstrate that our approach can help plant geneticists working with autopolyploid species to advance their studies by distinguishing allele dosage from GBS data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2433-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-01 /pmc/articles/PMC6211426/ /pubmed/30382832 http://dx.doi.org/10.1186/s12859-018-2433-6 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Pereira, Guilherme S. Garcia, Antonio Augusto F. Margarido, Gabriel R. A. A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids |
title | A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids |
title_full | A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids |
title_fullStr | A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids |
title_full_unstemmed | A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids |
title_short | A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids |
title_sort | fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211426/ https://www.ncbi.nlm.nih.gov/pubmed/30382832 http://dx.doi.org/10.1186/s12859-018-2433-6 |
work_keys_str_mv | AT pereiraguilhermes afullyautomatedpipelineforquantitativegenotypecallingfromnextgenerationsequencingdatainautopolyploids AT garciaantonioaugustof afullyautomatedpipelineforquantitativegenotypecallingfromnextgenerationsequencingdatainautopolyploids AT margaridogabrielra afullyautomatedpipelineforquantitativegenotypecallingfromnextgenerationsequencingdatainautopolyploids AT pereiraguilhermes fullyautomatedpipelineforquantitativegenotypecallingfromnextgenerationsequencingdatainautopolyploids AT garciaantonioaugustof fullyautomatedpipelineforquantitativegenotypecallingfromnextgenerationsequencingdatainautopolyploids AT margaridogabrielra fullyautomatedpipelineforquantitativegenotypecallingfromnextgenerationsequencingdatainautopolyploids |