Facile mutant identification via a single parental backcross method and application of whole genome sequencing based mapping pipelines

被引:21
作者
Allen, Robert S. [1 ,2 ,3 ]
Nakasugi, Kenlee [1 ]
Doran, Rachel L. [1 ]
Millar, Anthony A. [3 ]
Waterhouse, Peter M. [1 ,2 ]
机构
[1] Univ Sydney, Sch Mol Biosci, Sydney, NSW 2006, Australia
[2] Univ Sydney, Sch Biol Sci, Sydney, NSW 2006, Australia
[3] Australian Natl Univ, Res Sch Biol, Plant Sci Div, Canberra, ACT 0200, Australia
基金
澳大利亚研究理事会;
关键词
Arabidopsis; mutant-mapping; NextGen-Sequencing; parental-backcross; EMS; mutant-screen; ARABIDOPSIS-THALIANA; MUTATION IDENTIFICATION; GENES; POPULATIONS; DISCOVERY; FRAMEWORK; ALIGNMENT;
D O I
10.3389/fpls.2013.00362
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Forward genetic screens have identified numerous genes involved in development and metabolism, and remain a cornerstone of biological research. However, to locate a causal mutation, the practice of crossing to a polymorphic background to generate a mapping population can be problematic if the mutant phenotype is difficult to recognize in the hybrid F2 progeny, or dependent on parental specific traits. Here in a screen for leaf hyponasty mutants, we have performed a single backcross of an Ethane Methyl Sulphonate (EMS) generated hyponastic mutant to its parent. Whole genome deep sequencing of a bulked homozygous F2 population and analysis via the Next Generation EMS mutation mapping pipeline (NGM) unambiguously determined the causal mutation to be a single nucleotide polymorphisim (SNP) residing in HASTY, a previously characterized gene involved in microRNA biogenesis. We have evaluated the feasibility of this backcross approach using three additional SNP mapping pipelines; SHOREmap, the GATK pipeline, and the samtools pipeline. Although there was variance in the identification of EMS SNPs, all returned the same outcome in clearly identifying the causal mutation in HASTY The simplicity of performing a single parental backcross and genome sequencing a small pool of segregating mutants has great promise for identifying mutations that may be difficult to map using conventional approaches.
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页数:8
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