z-logo
open-access-imgOpen Access
Exploring the Mutational Robustness of Nucleic Acids by Searching Genotype Neighborhoods in Sequence Space
Author(s) -
Qingtong Zhou,
Xianbao Sun,
Xiaole Xia,
Fan Zhou,
Zhaofeng Luo,
Suwen Zhao,
Eugene I. Shakhnovich,
Haojun Liang
Publication year - 2017
Publication title -
the journal of physical chemistry letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.563
H-Index - 203
ISSN - 1948-7185
DOI - 10.1021/acs.jpclett.6b02769
Subject(s) - nucleic acid , robustness (evolution) , aptamer , in silico , systematic evolution of ligands by exponential enrichment , biology , computational biology , genetics , fitness landscape , genotype , dna , gene , rna , population , medicine , environmental health
To assess the mutational robustness of nucleic acids, many genome- and protein-level studies have been performed, where nucleic acids are treated as genetic information carriers and transferrers. However, the molecular mechanisms through which mutations alter the structural, dynamic, and functional properties of nucleic acids are poorly understood. Here we performed a SELEX in silico study to investigate the fitness distribution of the l-Arm-binding aptamer genotype neighborhoods. Two novel functional genotype neighborhoods were isolated and experimentally verified to have comparable fitness as the wild-type. The experimental aptamer fitness landscape suggests the mutational robustness is strongly influenced by the local base environment and ligand-binding mode, whereas bases distant from the binding pocket provide potential evolutionary pathways to approach the global fitness maximum. Our work provides an example of successful application of SELEX in silico to optimize an aptamer and demonstrates the strong sensitivity of mutational robustness to the site of genetic variation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom