Publication:

Mechanisms of fast and stringent search in homologous pairing of double-stranded DNA

Loading...
Thumbnail Image

Open/View Files

Date

2017

Journal Title

Journal ISSN

Volume Title

Publisher

Public Library of Science
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Bitran, Amir, Wei-Yin Chiang, Erel Levine, and Mara Prentiss. 2017. “Mechanisms of fast and stringent search in homologous pairing of double-stranded DNA.” PLoS Computational Biology 13 (3): e1005421. doi:10.1371/journal.pcbi.1005421. http://dx.doi.org/10.1371/journal.pcbi.1005421.

Abstract

Self-organization in the cell relies on the rapid and specific binding of molecules to their cognate targets. Correct bindings must be stable enough to promote the desired function even in the crowded and fluctuating cellular environment. In systems with many nearly matched targets, rapid and stringent formation of stable products is challenging. Mechanisms that overcome this challenge have been previously proposed, including separating the process into multiple stages; however, how particular in vivo systems overcome the challenge remains unclear. Here we consider a kinetic system, inspired by homology dependent pairing between double stranded DNA in bacteria. By considering a simplified tractable model, we identify different homology testing stages that naturally occur in the system. In particular, we first model dsDNA molecules as short rigid rods containing periodically spaced binding sites. The interaction begins when the centers of two rods collide at a random angle. For most collision angles, the interaction energy is weak because only a few binding sites near the collision point contribute significantly to the binding energy. We show that most incorrect pairings are rapidly rejected at this stage. In rare cases, the two rods enter a second stage by rotating into parallel alignment. While rotation increases the stability of matched and nearly matched pairings, subsequent rotational fluctuations reduce kinetic trapping. Finally, in vivo chromosome are much longer than the persistence length of dsDNA, so we extended the model to include multiple parallel collisions between long dsDNA molecules, and find that those additional interactions can greatly accelerate the searching.

Description

Research Data

Keywords

Biology and life sciences, Biochemistry, Proteins, DNA-binding proteins, Biology and Life Sciences, Microbiology, Bacteriology, Bacterial Genetics, Bacterial Genomics, Genetics, Microbial Genetics, Genomics, Microbial Genomics, Database and Informatics Methods, Bioinformatics, Sequence Analysis, Sequence Alignment, Computational Biology, Genomics Statistics, Database Searching, Sequence Similarity Searching, Protein Interactions, Cell Biology, Chromosome Biology, Chromosomes, Physical Sciences, Physics, Thermodynamics, Free Energy

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories