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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...

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.

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.

Gene Evolution - Fast or Slow?

Gene Evolution - Fast or Slow?

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.
In contrast, regions which code...

Gene Evolution - Fast or Slow?

Gene Evolution - Fast or Slow?

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.
In contrast, regions which code...

Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Updated: May 24, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Scalable computing for evolutionary genomics.

Pjotr Prins¹, Dominique Belhachemi, Steffen Möller

¹Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands. pjotr.prins@wur.nl

Methods in Molecular Biology (Clifton, N.J.)

|March 9, 2012

Summary

This summary is machine-generated.

Scaling evolutionary biology genomic analyses is now feasible using BioNode, a virtual machine (VM) cluster. This approach simplifies parallel computing for researchers, enabling faster analysis of complex datasets on existing hardware or in the cloud.

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Area of Science:

Evolutionary Biology
Bioinformatics
Computational Biology

Background:

Genomic data analysis in evolutionary biology is computationally intensive, often exceeding single desktop capabilities.
Traditional parallel programming is complex and requires specialized software design.
Legacy software and existing hardware pose challenges for scaling computational tasks.

Purpose of the Study:

To present a simplified method for scaling computational analyses in evolutionary biology.
To introduce BioNode, a virtual machine (VM) image, as a solution for creating virtual computer clusters.
To enable researchers to easily parallelize bioinformatics software for large-scale genomic data analysis.

Main Methods:

Utilized PC virtualization to create a virtual machine (VM) environment (BioNode) for deploying operating systems and software.
Deployed BioNode on networked PCs and cloud platforms to form a virtual computer cluster.
Integrated over 200 bioinformatics and statistical software packages within the BioNode VM image, including configuration scripts for parallelization.

Main Results:

BioNode effectively creates a functional computing cluster and pipeline with minimal setup.
Researchers can scale computations from their desktop using available hardware or cloud resources.
The BioNode VM image supports deployment on various operating systems (Windows, OSX, Linux) and cloud environments.

Conclusions:

BioNode offers a practical and accessible solution for parallelizing computationally intensive bioinformatics analyses in evolutionary biology.
This approach democratizes high-performance computing for researchers lacking access to dedicated clusters.
BioNode facilitates the creation and deployment of free and open-source VM images for scientific computing.