Unknown

Dataset Information

0

Fitness landscape for nucleosome positioning.


ABSTRACT: Histone-DNA complexes, so-called nucleosomes, are the building blocks of DNA packaging in eukaryotic cells. The histone-binding affinity of a local DNA segment depends on its elastic properties and determines its accessibility within the nucleus, which plays an important role in the regulation of gene expression. Here, we derive a fitness landscape for intergenic DNA segments in yeast as a function of two molecular phenotypes: their elasticity-dependent histone affinity and their coverage with transcription factor binding sites. This landscape reveals substantial selection against nucleosome formation over a wide range of both phenotypes. We use it as the core component of a quantitative evolutionary model for intergenic DNA segments. This model consistently predicts the observed diversity of histone affinities within wild Saccharomyces paradoxus populations, as well as the affinity divergence between neighboring Saccharomyces species. Our analysis establishes histone binding and transcription factor binding as two separable modes of sequence evolution, each of which is a direct target of natural selection.

SUBMITTER: Weghorn D 

PROVIDER: S-EPMC3704022 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Fitness landscape for nucleosome positioning.

Weghorn Donate D   Lässig Michael M  

Proceedings of the National Academy of Sciences of the United States of America 20130619 27


Histone-DNA complexes, so-called nucleosomes, are the building blocks of DNA packaging in eukaryotic cells. The histone-binding affinity of a local DNA segment depends on its elastic properties and determines its accessibility within the nucleus, which plays an important role in the regulation of gene expression. Here, we derive a fitness landscape for intergenic DNA segments in yeast as a function of two molecular phenotypes: their elasticity-dependent histone affinity and their coverage with t  ...[more]

Similar Datasets

| S-EPMC540003 | biostudies-literature
| S-EPMC2623244 | biostudies-literature
| S-EPMC3000044 | biostudies-literature
| S-EPMC2556261 | biostudies-literature
| S-EPMC2964354 | biostudies-literature
| S-EPMC2880596 | biostudies-literature
| S-EPMC2799728 | biostudies-literature
| S-EPMC1698900 | biostudies-other
| S-EPMC6765203 | biostudies-literature