Abstract

BackgroundOver the past decades site-directed mutagenesis (SDM) has become an indispensable tool for biological structure-function studies. In principle, SDM uses modified primer pairs in a PCR reaction to introduce a mutation in a cDNA insert. DpnI digestion of the reaction mixture is used to eliminate template copies before amplification in E. coli; however, this process is inefficient resulting in un-mutated clones which can only be distinguished from mutant clones by sequencing.ResultsWe have developed a program – ‘SDM-Assist’ which creates SDM primers adding a specific identifier: through additional silent mutations a restriction site is included or a previous one removed which allows for highly efficient identification of ‘mutated clones’ by a simple restriction digest.ConclusionsThe direct identification of SDM clones will save time and money for researchers. SDM-Assist also scores the primers based on factors such as Tm, GC content and secondary structure allowing for simplified selection of optimal primer pairs.

Highlights

  • Over the past decades site-directed mutagenesis (SDM) has become an indispensable tool for biological structure-function studies

  • We have developed a standalone program that designs and evaluates SDM primers within seconds

  • Primer design is based on an optimised strategy using partially overlapping primer pairs which increases the likelihood of primer-template annealing over primer self-annealing, significantly enhancing the outcome of the SDM [11,12,13]

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Summary

Conclusions

There is an abundance of primer design software available some of which even allow the design of SDM primers. To our knowledge, SDM-Assist is the first standalone primer software that features the inclusion of a “silent” restriction site and a scoring algorithm for output primers. The software is compatible for both major operating systems Windows (XP and higher) and MacOS (10.6 and higher); primers are evaluated, scored and provided alongside their physical parameters in an output Excel or text-based file.

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