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通过测序进行有效的映射以分离番茄基因组中的因果突变。

Effective Mapping by Sequencing to Isolate Causal Mutations in the Tomato Genome.

机构信息

Centro de Investigación en Biotecnología Agroalimentaria, Departamento de Biología y Geología, Universidad de Almería, Almería, Spain.

Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, Versailles, France.

出版信息

Methods Mol Biol. 2021;2264:89-103. doi: 10.1007/978-1-0716-1201-9_7.

Abstract

Forward genetic analysis remains as one of the most powerful tools for assessing gene functions, although the identification of the causal mutation responsible for a given phenotype has been a tedious and time-consuming task until recently. Advances in deep sequencing technologies have provided new approaches for the exploitation of natural and artificially induced genetic diversity, thus accelerating the discovery of novel allelic variants. In this chapter, a mapping-by-sequencing forward genetics approach is described to identify causal mutations in tomato (Solanum lycopersicum L.), a major crop species that is also a model species for plant biology and breeding.

摘要

正向遗传学分析仍然是评估基因功能的最有力工具之一,尽管直到最近,确定导致特定表型的因果突变一直是一项繁琐且耗时的任务。深度测序技术的进步为利用自然和人工诱导的遗传多样性提供了新的方法,从而加速了新等位变异的发现。本章描述了一种基于测序的作图正向遗传学方法,用于鉴定番茄(Solanum lycopersicum L.)中的因果突变,番茄是一种主要的作物物种,也是植物生物学和育种的模式物种。

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