2017
DOI: 10.1007/978-1-4939-7249-4_20
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Rapid Gene Isolation Using MutChromSeq

Abstract: MutChromSeq is an approach for isolation of genes and DNA sequences controlling gene expression in plants with complex and polyploid genomes. It involves a lossless complexity reduction by flow cytometric chromosome sorting and shotgun sequencing DNA from isolated chromosomes. Comparison of sequences from wild-type parental chromosome with chromosomes from multiple independently derived mutants identifies causative mutations in a single candidate gene or a noncoding sequence. MutChromSeq does not rely on recom… Show more

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Cited by 15 publications
(16 citation statements)
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“…to biotic and abiotic stresses is only possible through identifying variants at the molecular level that define their genetic control. Chromosome sorting and sequencing of wild type and multiple independent mutants, referred to as MutChromSeq, provides a lossless complexity reduction method suitable for the cloning of any gene of interest (Sánchez-Martín et al, 2016;Steuernagel et al, 2017). In this study, we used this approach to clone the leaf rust resistance gene, Rph1, from cultivated barley.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…to biotic and abiotic stresses is only possible through identifying variants at the molecular level that define their genetic control. Chromosome sorting and sequencing of wild type and multiple independent mutants, referred to as MutChromSeq, provides a lossless complexity reduction method suitable for the cloning of any gene of interest (Sánchez-Martín et al, 2016;Steuernagel et al, 2017). In this study, we used this approach to clone the leaf rust resistance gene, Rph1, from cultivated barley.…”
Section: Discussionmentioning
confidence: 99%
“…The very strength of NLR exome capture in providing a stringent complexity reduction is also its weakness by excluding, perforce (1) NLRs with significant sequence divergence to the source sequences used in bait design, (2) NLRs with exotic integrated domains (Sarris et al, 2016), and (3) R genes not conforming to the canonical structure of an NLR (Fu et al, 2009;Krattinger et al, 2009;Moore et al, 2015). This bias can be overcome by chromosome flow sorting, where only a prior knowledge of the chromosome on which the gene resides is required (Giorgi et al, 2013;Steuernagel et al, 2017). Sánchez-Martín and colleagues flowsorted and sequenced wheat chromosome 5D from six Pm2 mutants and the parental wild type.…”
mentioning
confidence: 99%
“…To avoid these complications, the MutChromSeq (Mutant Chromosome Sequencing) approach was proposed by Sanchez-Martin et al [ 22 ] for rapid gene isolation in barley and wheat. MutChromSeq is a chromosome flow sorting and sequencing based powerful, sequence-unbiased and reference-free forward genetics approach for genome complexity reduction and induced causal mutations identification without having positional fine mapping [ 163 ]. It has been effectively applied to reclone the Eceriferum-q gene (resistant to wax covered leaf sheath); Rph1 (leaf rust resistance gene) in barley [ 130 ] and clone the Pm2 gene (Powdery mildew resistance) in wheat [ 22 ].…”
Section: Ngs Based Forward Genetics For Identification and Mappingmentioning
confidence: 99%
“…It does not depend on recombination or fine-mapping for gene cloning and causal mutation identification. This approach may be performed in any crop species where, the mutagenesis is feasible; the target gene is associated with a phenotype and the chromosomal location of target gene is known [ 22 , 163 ]. Chromosomal sequence comparison of multiple independently derived mutants and their wild parents confirms the identification of causal mutations in a single candidate gene or a non-coding sequence.…”
Section: Ngs Based Forward Genetics For Identification and Mappingmentioning
confidence: 99%
“…172Both portions were dried to constant weight by heating in an oven at 65 °C for 3 days. 173The chromosome sequencing data was analysed using the MutChromSeq pipeline according 178toSteuernagel et al (2017). The raw data were trimmed using sickle 179 (https://github.com/najoshi/sickle) with default parameters.…”
mentioning
confidence: 99%