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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...
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...
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...
Genetics of Speciation02:16

Genetics of Speciation

Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
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...

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

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Published on: February 3, 2023

Genetical genomics for evolutionary studies.

Pjotr Prins1, Geert Smant, Ritsert C Jansen

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

Methods in Molecular Biology (Clifton, N.J.)
|March 9, 2012
PubMed
Summary
This summary is machine-generated.

Genetical genomics integrates high-throughput data with genetic analysis for evolutionary studies. This approach maps quantitative trait loci (QTL) to understand complex traits and host-pathogen interactions.

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Area of Science:

  • Genomics
  • Evolutionary Biology
  • Computational Biology

Background:

  • Genetical genomics merges high-throughput genomic data with genetic analysis for evolutionary studies.
  • High-throughput technologies enable the study of genetic variation underlying quantitative phenotypes (xQTL).
  • Analyzing vast, multidimensional datasets requires advanced statistical tools.

Purpose of the Study:

  • To discuss the application of genetical genomics in evolutionary studies.
  • To explore the use of evolutionary priors in expression QTL (eQTL) experiments for host-pathogen interactions.
  • To provide an example of experimental design, platform choice, and analysis methods.

Main Methods:

  • Combining high-throughput molecular technologies with quantitative trait loci (QTL) mapping in segregating populations.
  • Utilizing statistical methods to associate phenotypical variation with genomic locations.
  • Introducing evolutionary priors (e.g., gene families under positive selection) into eQTL experiments.

Main Results:

  • Mapping the gene expression landscape and tentative eQTL networks.
  • Elucidating host-pathogen protein-protein interactions through eQTL analysis.
  • Matching resulting eQTLs to identify putative interacting genes and regulators.

Conclusions:

  • Genetical genomics provides a framework for dissecting complex evolutionary traits.
  • The integration of evolutionary priors can enhance the interpretation of QTL data.
  • eQTL networks can help distinguish trait causality and identify interacting gene networks.