The role of imperfections in biological systems Jan 2013 Regulatory Genomics Lecturer: Prof. Yitzhak Pilpel.

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The role of imperfections in biological systems Jan 2013 Regulatory Genomics Lecturer: Prof. Yitzhak Pilpel

What types of imperfections are there? Mutations Transcription / translation errors (of what type) Nois expression More?...

What could be the potential benefits of imperfections?

How can we measure … Rate of transcription errors Rate of translation errors? Nois

Functionally useful imperfections in transcription

What is hysteresis? Hysteresis is the dependence of a system not only on its current environment but also on its past environment. WT MT L H H L

The effect of error prone RNA pol II

“Look ahead” phenotypic error: a potential means to obtain paired mutations Challenge for the system: reward the organism (fitness wise) for even the first mutation. Solution: the allele will spread due to sporadic phenotypic mutations The idea of this paper is as brilliant as it is pretty obvious... in retrospect. A novel solution is offered to the old enigma of the evolution of complex features in proteins that require two or more mutations (emergence of a disulphide bond is a straightforward example). Whitehead et al. propose that selection for such traits could be facilitated by phenotypic mutations (errors of transcription and, especially, translation). Due to phenotypic mutations, rare variants of proteins will emerge that are "preadapted" to accommodate the second, beneficial mutation, yielding the complex, adaptive trait, even if transiently. Simply put, for the case of a disulfide bond, one cysteine appears as a result of a phenotypic mutation and the other one due to a genotypic mutation. The result will be that, for a while, the cell will have in its possession the protein molecule with a disulfide bond. Thus, "pre-adaptation" owing to phenotypic mutation would promote fixation of the second mutation which will be beneficial even without the first one – if the selective advantage of the complex trait is high enough (the ultimate situation that helps understanding is that this trait is essential for survival). The actual fixation of the complex trait, then, requires only one (the first) mutation and is thus greatly facilitated. Mathematical modeling described in the paper shows that, if the selective advantage of the complex trait, i.e., the selection coefficient for the second mutation, is high enough, this look-ahead effect becomes realistic under the experimentally determined mistranslation rates. Obviously, the realization of the look-ahead effect will depend on a variety of factors including the overall translation fidelity, the local context of the codon involved, the stability of the protein etc. This allows a number of rather straightforward experimental tests of the model. From my perspective, this is a genuinely important work that introduces a new and potentially major mechanism of evolution and, in a sense, overturns the old adage of evolution having no foresight. It seems like, even if nonspecifically and unwittingly, some foresight might be involved. At a more general conceptual level, this work is important in that it puts together, within a single conceptual framework, the evolutionary effects of genotypic and phenotypic mutations. There is much more to investigate here! I would like to mention a rather general biological implication. It seems obvious enough that, under conditions of stress (e.g., amino acid starvation, heat shock etc), when translation fidelity drops, the look-ahead effect will be enhanced. Thus, this could be a general and crucial mechanism of adaptation during evolution.

Bacterial persistence

A single cell investigation reveals the basis of persistence Balaban et al. Science 2004

A stochastic switch maintains persistent cells in the population

The broader relevance in persistence In response to antibiotics In response to viral attack In cancer cells responding to a chemo- therapy In the natural environmental warfare among (microbial) species A major medical concer

Can we use the notion to identify cells that would escape chemo-therapy?

Bimodal expression of key proteins predict survival upon drug treatment

Apply the same notion to explain incomplete penetrance

Incomplete penetrance What is it? Why is it important/interesting? What could be the underling cause/basis for it? How could knowing the basis be useful?

Pre-mutation diversity in a paralog determines mutational fate Post-mutation: response Pre-mutation: “anticipation”

A theoretical model predicts how backup filters noise Kafri Pilpel PNAS 2006

A chaperon (Hsp90): acts as a “Capacitor” of mutations