Analysis of a complete DNA–protein affinity landscape

Author:

Rowe William12,Platt Mark12,Wedge David C.12,Day Philip J.13,Kell Douglas B.12,Knowles Joshua14

Affiliation:

1. Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK

2. School of Chemistry, University of Manchester, Oxford Road, Manchester M13 9PL, UK

3. School of Translational Medicine, University of Manchester, Oxford Road, Manchester M13 9PT, UK

4. School of Computer Science, University of Manchester, Kilburn Building, Oxford Road, Manchester M13 9PL, UK

Abstract

Properties of biological fitness landscapes are of interest to a wide sector of the life sciences, from ecology to genetics to synthetic biology. For biomolecular fitness landscapes, the information we currently possess comes primarily from two sources: sparse samples obtained from directed evolution experiments; and more fine-grained but less authentic information from ‘ in silico ’ models (such as NK -landscapes). Here we present the entire protein-binding profile of all variants of a nucleic acid oligomer 10 bases in length, which we have obtained experimentally by a series of highly parallel on-chip assays. The resulting complete landscape of sequence-binding pairs, comprising more than one million binding measurements in duplicate, has been analysed statistically using a number of metrics commonly applied to synthetic landscapes. These metrics show that the landscape is rugged, with many local optima, and that this arises from a combination of experimental variation and the natural structural properties of the oligonucleotides.

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

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