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InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data
PREMISE: Although several software packages are available for genotyping insertion/deletion (indel) polymorphisms in genomes using next‐generation sequencing data, simultaneously calling indel genotypes across many individuals for use in genetic mapping remains challenging. METHODS AND RESULTS: We p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742820/ https://www.ncbi.nlm.nih.gov/pubmed/36518944 http://dx.doi.org/10.1002/aps3.11499 |
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author | Pan, Zhiliang Zhang, Jinpeng Bai, Shengjun Li, Zhiting Tong, Chunfa |
author_facet | Pan, Zhiliang Zhang, Jinpeng Bai, Shengjun Li, Zhiting Tong, Chunfa |
author_sort | Pan, Zhiliang |
collection | PubMed |
description | PREMISE: Although several software packages are available for genotyping insertion/deletion (indel) polymorphisms in genomes using next‐generation sequencing data, simultaneously calling indel genotypes across many individuals for use in genetic mapping remains challenging. METHODS AND RESULTS: We present an integrated pipeline, InDelGT, for the extraction of indel genotypes from a segregating population such as backcross or F(2) lines, or from an F(1) cross between outbred species. The InDelGT algorithm is implemented in three steps: generating an indel catalog, calling indel genotypes, and analyzing indel segregation. We demonstrated the use of the pipeline with an example data set from an F(1) hybrid population of Populus and successfully constructed the two parental genetic linkage maps. CONCLUSIONS: InDelGT is a practical tool that can quickly genotype a large number of indel markers within a population following Mendelian segregation. The InDelGT pipeline is freely available on GitHub (https://github.com/tongchf/InDelGT). |
format | Online Article Text |
id | pubmed-9742820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97428202022-12-13 InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data Pan, Zhiliang Zhang, Jinpeng Bai, Shengjun Li, Zhiting Tong, Chunfa Appl Plant Sci Software Note PREMISE: Although several software packages are available for genotyping insertion/deletion (indel) polymorphisms in genomes using next‐generation sequencing data, simultaneously calling indel genotypes across many individuals for use in genetic mapping remains challenging. METHODS AND RESULTS: We present an integrated pipeline, InDelGT, for the extraction of indel genotypes from a segregating population such as backcross or F(2) lines, or from an F(1) cross between outbred species. The InDelGT algorithm is implemented in three steps: generating an indel catalog, calling indel genotypes, and analyzing indel segregation. We demonstrated the use of the pipeline with an example data set from an F(1) hybrid population of Populus and successfully constructed the two parental genetic linkage maps. CONCLUSIONS: InDelGT is a practical tool that can quickly genotype a large number of indel markers within a population following Mendelian segregation. The InDelGT pipeline is freely available on GitHub (https://github.com/tongchf/InDelGT). John Wiley and Sons Inc. 2022-10-27 /pmc/articles/PMC9742820/ /pubmed/36518944 http://dx.doi.org/10.1002/aps3.11499 Text en © 2022 The Authors. Applications in Plant Sciences published by Wiley Periodicals LLC on behalf of Botanical Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Software Note Pan, Zhiliang Zhang, Jinpeng Bai, Shengjun Li, Zhiting Tong, Chunfa InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data |
title | InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data |
title_full | InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data |
title_fullStr | InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data |
title_full_unstemmed | InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data |
title_short | InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data |
title_sort | indelgt: an integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next‐generation sequencing data |
topic | Software Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742820/ https://www.ncbi.nlm.nih.gov/pubmed/36518944 http://dx.doi.org/10.1002/aps3.11499 |
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