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Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

Gene Duplication and Divergence

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was generated by gene duplication and divergence, indicating its critical role in evolution.
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Genome Size and the Evolution of New Genes

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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Gene Evolution - Fast or Slow?

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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Updated: Jun 23, 2026

A Yeast 2-Hybrid Screen in Batch to Compare Protein Interactions

A Yeast 2-Hybrid Screen in Batch to Compare Protein Interactions

Published on: June 6, 2018

Generalized gene adjacencies, graph bandwidth, and clusters in yeast evolution.

Qian Zhu¹, Zaky Adam, Vicky Choi

¹Department of Biochemistry, University of Ottawa, Ottawa, ON, Canada. qzhu012@uottawa.ca

IEEE/ACM Transactions on Computational Biology and Bioinformatics

|May 2, 2009

Summary

This summary is machine-generated.

We introduce a new way to define gene clusters, allowing adjustable emphasis on gene order conservation. This method helps analyze cluster characteristics and evolutionary preservation across species, using yeast genomes as a case study.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Gene order conservation is crucial for understanding genome evolution.
Quantifying gene cluster rearrangements and evolutionary stability remains challenging.

Purpose of the Study:

To present a parameterized definition of gene clusters enabling control over conserved order emphasis.
To analyze how this parameter influences cluster characteristics (number, size, rearrangement) and phylogenetic preservation.

Main Methods:

Developed a parameterized gene cluster definition related to graph bandwidth.
Employed dynamic programming to optimize the inference of ancestral gene cluster presence.
Applied the analysis to a dataset from the Yeast Gene Order Browser.

Main Results:

The parameter effectively controls the emphasis on conserved gene order within clusters.
Analysis revealed how cluster characteristics vary with the defined parameter.
Quantified the extent of gene cluster preservation across evolutionary lineages.

Conclusions:

The parameterized gene cluster definition offers a flexible tool for genomic analysis.
This approach enhances the study of genome evolution and gene order dynamics.
Findings provide insights into the stability and rearrangement of gene clusters in yeast evolution.