Variant calling in polyploids for population and quantitative genetics

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1002/aps3.11607. This is version 2 of this Preprint.

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Authors

Alyssa Phillips

Abstract

Advancements in genome assembly and sequencing technology have made whole genome sequence (WGS) data and reference genomes accessible to study polyploid species. Compared to popular reduced-representation sequencing approaches, the genome-wide coverage and greater marker density provided by WGS data can greatly improve our understanding of polyploid species and polyploid biology. However, biological features that make polyploid species interesting also pose challenges in read mapping, variant identification, and genotype estimation. Accounting for characteristics in variant calling like allelic dosage uncertainty, homology between subgenomes, and variance in chromosome inheritance mode can reduce errors. Here, I discuss the challenges of variant calling in polyploid WGS data and discuss where potential solutions can be integrated into a standard variant calling pipeline.

DOI

https://doi.org/10.32942/X2QK7N

Subjects

Life Sciences

Keywords

polyploidy, variant calling, whole genome sequence, population genetics, quantitative genetics, mixed-ploidy, mixed-ploidy, Population genetics, quantitative genetics, variant calling

Dates

Published: 2024-03-15 11:52

Last Updated: 2024-07-23 00:58

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License

CC BY Attribution 4.0 International

Additional Metadata

Language:
English

Conflict of interest statement:
None

Data and Code Availability Statement:
Not applicable