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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

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...
Gene Evolution - Fast or Slow?02:05

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?02:05

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...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Synteny and Evolution02:31

Synteny and Evolution

John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral chromosome underwent...

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Updated: Jun 25, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

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

Published on: December 7, 2021

Harnessing genomics for evolutionary insights.

Antonis Rokas1, Patrick Abbot

  • 1Department of Biological Sciences, Vanderbilt University, VU Station B 35-1634, Nashville, TN 37235, USA. antonis.rokas@vanderbilt.edu

Trends in Ecology & Evolution
|February 10, 2009
PubMed
Summary
This summary is machine-generated.

Next-generation DNA sequencing offers vast genomic data for ecology and evolutionary biology. Careful design is crucial for leveraging these powerful tools to address new scientific questions.

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Related Experiment Videos

Last Updated: Jun 25, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

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

Published on: December 7, 2021

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Area of Science:

  • Genomics
  • Ecology
  • Evolutionary Biology

Background:

  • Next-generation sequencing (NGS) technologies generate large-scale genomic data.
  • These advancements are applicable to non-model organisms.

Purpose of the Study:

  • Describe how NGS technologies have advanced ecology and evolutionary biology.
  • Highlight ecological and evolutionary questions suited for NGS.
  • Discuss the potential of NGS to transform research.

Main Methods:

  • Utilizing next-generation sequencing (NGS) for genomic data generation.
  • Applying NGS to address ecological and evolutionary questions.
  • Emphasizing experimental design and critical consideration of NGS caveats.

Main Results:

  • NGS has facilitated key advances in ecology and evolutionary biology.
  • Several outstanding research questions are now addressable with NGS.
  • The integration of NGS requires careful planning and consideration of limitations.

Conclusions:

  • NGS technologies are poised to revolutionize ecology and evolutionary biology.
  • These tools will fundamentally alter the scope of research questions.
  • Overcoming current challenges will enable widespread adoption in single-investigator research.