@inbook{43e536116a014a568819cd05855d9ea6,
title = "Identification of Novel Induced Mutations in Seed and Vegetatively Propagated Plants from Reduced Representation or Whole Genome Sequencing Data",
abstract = "Treatment of plants with chemical mutagens results primarily in the production of novel single nucleotide variants. Mutagenesis is a mostly random process and as such plants derived from mutagenesis of different seeds or in vitro material are expected to accumulate different mutations. An important step in the creation of a mutant population for forward or reverse genetics is the choice of treatment conditions (e.g., dosage) such that sufficient mutations accumulate while not adversely affecting propagation of the plant. DNA sequencing provides a quick method to evaluate the effect of different treatment conditions and their effect on the density and spectrum of accumulated mutations. Whole genome sequencing or reduced representation sequencing is carried out followed by mapping to a reference genome and production of a Variant Call Format (VCF) file. We provide here a method for generating a multi-sample VCF from mutagenized plants and describe a new tool to streamline the process of recovering unique induced mutations and determining their possible effect on gene function.",
keywords = "Chemical mutagenesis, Induced mutation, TILLING, Whole genome sequencing, ddRADseq",
author = "Till, {Bradley J.} and Jim{\'e}nez-Madrigal, {Jos{\'e} P.} and Andr{\'e}s Gatica-Arias",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2024.",
year = "2024",
doi = "10.1007/978-1-0716-3778-4_8",
language = "Ingl{\'e}s",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "123--139",
booktitle = "Methods in Molecular Biology",
}