Mutagenesis in the lacI gene target of E. coli: improved analysis for lacI(d) and lacO mutants

大肠杆菌lacI基因靶标的诱变:lacI(d)和lacO突变体的改进分析

阅读:1

Abstract

The lacI gene of Escherichia coli has been a highly useful target for studies of mutagenesis, particularly for analysis of the specificity (spectrum) of mutations generated under a variety of conditions and in various genetic backgrounds. The gene encodes the repressor of the lac operon, and lacI-defective mutants displaying constitutive expression of the operon are readily selected. DNA sequencing of the lacI mutants has often been confined to the N-terminal region of the protein, as it presents a conveniently short target with a high density of detectably mutable sites. Mutants in this region are easily selected due to their dominance in a genetic complementation test (lacI(d) mutants). A potential complication in these studies is that constitutive expression of lac may also arise due to mutations in the lac operator (lacO mutants). Under some conditions, for example when analyzing spontaneous mutations, lacO mutants can comprise a very high fraction of the constitutive mutants due to a strong base-substitution hotspot in the lac operator. Such mutational hot spots diminish the return of the sequencing effort and do not yield significant new information. For this reason, a procedure to eliminate the lacO mutants prior to DNA sequencing is desirable. Here, we report a simple method that allows screening out of lacO mutants. This method is based on the lack of resistance of lacO mutants to kanamycin under conditions when the kan gene is expressed from a plasmid under control of the lac promoter-operator (lacPO). We show data validating the new approach with sets of known lacI(d) and lacO mutants, and further apply it to the generation of a new collection of spontaneous mutations, where lacO mutants have historically been a significant contributor.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。