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Graph based analysis for gene segment organization In a scrambled genome.

Mustafa Hajij¹, Nataša Jonoska², Denys Kukushkin²

¹Department of Computer Science, Ohio State University, Columbus, OH 43210, USA.

Journal of Theoretical Biology

|March 1, 2020

Summary

This summary is machine-generated.

This study introduces a graph-based method to analyze complex gene segment organization in genomes. Findings reveal intricate interleaving patterns in Oxytricha trifallax, with single genes containing many others.

Keywords:

Gene segment organizations Hierarchical cluster analysis (HCA)Oxytricha trifallax Point cloud from graph properties Scrambled genome

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Area of Science:

Genomics
Computational Biology
Bioinformatics

Background:

DNA recombination can lead to complex gene segment organizations.
Understanding these organizations is crucial for genome analysis, especially in organisms with highly rearranged genomes.

Purpose of the Study:

To develop a graph-based method for representing and analyzing gene segment organization.
To apply this method to the genome of Oxytricha trifallax to uncover novel organizational patterns.

Main Methods:

Representing gene segment organization using graphs, where vertices are contigs and edges represent pre-rearrangement organization.
Associating each graph with a vector of properties for analysis in a high-dimensional space.
Employing hierarchical clustering for analyzing graph structures.

Main Results:

Identified star-like graph structures in Oxytricha trifallax, indicating significant gene segment interleaving.
Observed single genes containing segments from over fifteen other genes.
Found instances where up to six genes exhibit mutual segment interleaving or overlapping.

Conclusions:

The graph-based approach effectively visualizes and analyzes complex gene segment organization.
Oxytricha trifallax exhibits extreme gene segment interleaving, challenging traditional genomic structural models.
This method provides new insights into genome evolution and rearrangement mechanisms.