1995CellOpen access

The topology of the kinetoplast DNA network

Junghuei Chen, Carol A. Rauch, James H. White, Paul T. Englund, Nicholas R. Cozzarelli

Open full text 179 citations

Abstract

Kinetoplast DNA (kDNA) of trypanosomatid parasites is a network of approximately 5000 catenated DNA minicircles and approximately 25 maxicircles. We developed the following strategy to deduce the topological linkage of the minicircles of the Crithidia fasciculata network. First, we used graph theory to provide precise models of possible network structures. Second, on the basis of these models, we predicted the frequencies of minicircle oligomers expected from random network breakage. Third, we determined the fragmentation pattern of kDNA networks as a function of the extent of digestion. Fourth, by comparison of the results with the predictions, we identified the model that best represents the network. We conclude that each minicircle is linked on average to three other minicircles. A honeycomb arrangement probably results, with each minicircle typically at the vertex of a hexagonal cell. This topology has implications for the assembly, structure, and function of kDNA networks.

Open-access reader

About this research paper

What this paper is about

Kinetoplast DNA (kDNA) of trypanosomatid parasites is a network of approximately 5000 catenated DNA minicircles and approximately 25 maxicircles. We developed the following strategy to deduce the topological linkage of the minicircles of the Crithidia fasciculata network. First, we used graph theory to provide precise models of possible network structures. Second, on the basis of these models, we predicted the frequencies of minicircle oligomers expected from random network breakage. Third, we determined the fragmentation pattern of kDNA networks as a function of the extent of digestion. Fourth, by comparison of the results with the predictions, we identified the model that best represents the network. We conclude that each minicircle is linked on average to three other minicircles. A honeycomb arrangement probably results, with each minicircle typically at the vertex of a hexagonal cell. This topology has implications for the assembly, structure, and function of kDNA networks.

Why it matters

OpenAlex reports 179 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Kinetoplast DNA (kDNA) of trypanosomatid parasites is a network of approximately 5000 catenated DNA minicircles and approximately 25 maxicircles. We developed the following strategy to deduce the topological linkage of the minicircles of the Crithidia fasciculata network. First, we used graph theory to provide precise models of possible network structures. Second, on the basis of these models, we predicted the frequencies of minicircle oligomers expected from random network breakage. Third, we determined the fragmentation pattern of kDNA networks as a function of the extent of digestion. Fourth, by comparison of the results with the predictions, we identified the model that best represents the network. We conclude that each minicircle is linked on average to three other minicircles. A honeycomb arrangement probably results, with each minicircle typically at the vertex of a hexagonal cell. This topology has implications for the assembly, structure, and function of kDNA networks.

Key concepts: Minicircle, Kinetoplast, Crithidia fasciculata, Biology, Circular DNA, Topology (electrical circuits), DNA, Computational biology

Related papers

Back to paper searchBrowse research topicsOriginal source
The topology of the kinetoplast DNA network — Research Paper | ScholarLens