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Bioengineered Bugs
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Bioengineered Bugs
Article . 2010 . Peer-reviewed
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The monoclonal myth

Authors: Thomas C, Scanlon; Heather L, Jewell; Elizabeth C, Gray; Karl E, Griswold;

The monoclonal myth

Abstract

Most researchers confidently assume that transformation of recombinant plasmid libraries into microbial hosts followed by outgrowth of isolated colonies results in a "one cell-one mutant gene-one protein variant" paradigm. Indeed, this assumption is supported by the overwhelming majority of published studies employing bacterial expression hosts. In stark contrast, we recently reported on Saccharomyces cerevisiae libraries containing unexpectedly high frequencies of cells harboring heterogeneous mixtures of plasmids, so called Multiple Vector Transformants (MVT). Intriguingly, we observed that yeast MVT persist as a significant proportion of populations for multiple generations. MVT can lead to misidentification of isolated mutants loss of functionally enhanced clones, and unwitting propagation of false positives derived from contaminating control sequences. Such experimental complications can have devastating outcomes in the context of protein engineering by combinatorial library screening. Herein, we demonstrate that the phenomenon of MVT is not restricted to vectors bearing the CEN/ARSH origin of replication, but may be an even greater concern when using high copy 2 µm plasmids. To mitigate the risks associated with MVT, we have developed an optimized sequencing procedure that facilitates rapid and reliable identification of MVT among clones of interest. In our experience, MVT and their associated risks can be virtually eliminated by employing extended liquid outgrowths of transformed populations and archiving sequence-verified, monoclonal, mutant genes from cell-templated PCR amplicons.

Related Organizations
Keywords

Transformation, Genetic, Genetic Vectors, Saccharomyces cerevisiae, Gene Library, Plasmids

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
bronze