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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...

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Detalles Bibliográficos
Autores principales: Pan, Zhiliang, Zhang, Jinpeng, Bai, Shengjun, Li, Zhiting, Tong, Chunfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
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
Descripción
Sumario: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).