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We have successfully applied a SNP- and WGS-based cloning strategy for mutant identification in C.elegans.
As pointed out before [9], the combined SNP/WGS strategy that we describe here for C. elegans, can of course be applied for mutant identification in many other model system species in which positional cloning has traditionally been tedious.
In our specific example of mutant identification in the C. elegans genome, the experimental system allows narrowing down the region of interest to a fraction of the genome by traditional mapping and the system allows the following-up of dozens of variants by various experimental strategies (including sequencing multiple alleles, rescue analysis, RNAi analysis etc.; [1]).
In order to accelerate mutant identification in our flax EMS population, we are currently developing an approach based on high throughput sequencing using NGS.
WGS has been applied to mutant identification in C. elegans and shown to be suitable for detecting a variety of DNA lesions (Chu et al. 2012; Flibotte et al. 2010; Hillier et al. 2008; Hobert 2010; Sarin et al. 2008; Shen et al. 2008), although methods to reliably identify small insertion/deletions (indels) and duplications are still being refined (Smith 2011).
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In addition, this technology may be applicable to genetic screens, including genome-wide RNAi or feeding-defective mutant identification.
Moreover, it reduces the costs of mutant identification, since it employs a single whole-genome sequencing run for both mutant mapping as well as mutant identification.
Additional file 8: Table S5 Primers used in real-time PCR and mutants identification.
Gene expression resources in soybean have been described [ 20] and utilized to deepen our understanding and knowledge of relevant biological processes including somatic embryogenesis [ 21], response to pathogen challenge [ 22], elevated carbon atmospheric conditions [ 23], and gene identification in mutant lines [ 24].
Thus, it is not surprising that RNAi HTS was applied to uncover mutant gene function or therapeutic target identification in neoplastic phenotypes in the earliest studies.
One of the key factors for success in essential gene identification in bacteria is the generation of mutants.
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