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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

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...
Genomics02:02

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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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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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Microbial Phylogeny01:28

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Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
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Microbial genome evolution is a highly dynamic process shaped by continual gene gain and loss across species and strains. This genomic flexibility allows microorganisms to adapt rapidly to environmental pressures and interactions with other organisms. Central to understanding this diversity is the distinction between the core and pan genomes.The core genome comprises the genes shared by all sampled strains of a species, representing essential functions needed for fundamental cellular processes.

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Updated: Jun 20, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Phylogenomics: evolution and genomics intersection.

Virendra S Gomase1, Somnath Tagore

  • 1Department of Bioinformatics, Padmashree Dr D Y Patil University, CBD Belapur, Navi Mumbai, India. virusgene1@yahoo.co.in

International Journal of Bioinformatics Research and Applications
|September 26, 2009
PubMed
Summary
This summary is machine-generated.

Phylogenomics analyzes closely related species genomes. This approach uses genome-scale data from sequencing projects to improve functional prediction accuracy by reducing sampling error.

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

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A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Functional prediction methods often rely on sequence similarity.
  • Genome sequencing projects provide large datasets for analysis.
  • Phylogenomics is an evolving field leveraging these datasets.

Purpose of the Study:

  • To describe phylogenomics as a method for analyzing related species' genomes.
  • To highlight its reliance on sequence similarity for functional prediction.
  • To explain its development from genome sequencing initiatives.

Main Methods:

  • Analysis of genomes from closely related species.
  • Identification, characterization, and quantification of sequence similarity.
  • Application of phylogenetic approaches to genome-scale data.

Main Results:

  • Phylogenomic analysis utilizes large datasets.
  • This leads to a global increase in resolution.
  • Sampling error is reduced through this approach.

Conclusions:

  • Phylogenomics offers a powerful phylogenetic approach based on genome-scale data.
  • It enhances functional prediction by leveraging sequence similarity.
  • The field has evolved significantly due to ongoing genome sequencing projects.