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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.
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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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Related Experiment Video

Updated: Jun 27, 2026

Rapid and Efficient Zebrafish Genotyping Using PCR with High-resolution Melt Analysis

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Published on: February 5, 2014

FastMap: fast eQTL mapping in homozygous populations.

Daniel M Gatti¹, Andrey A Shabalin, Tieu-Chong Lam

¹Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, USA.

Bioinformatics (Oxford, England)

|December 19, 2008

Summary

FastMap is a new method for efficient gene expression Quantitative Trait Locus (eQTL) mapping in homozygous populations. It uses a novel tree structure to speed up analysis, enabling significance testing for large datasets.

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Area of Science:

Genetics
Bioinformatics
Computational Biology

Background:

Gene expression Quantitative Trait Locus (eQTL) mapping identifies genomic regions regulating gene expression.
High-density genotype and gene expression data enable eQTL mapping in homozygous populations.
Existing eQTL mapping software struggles with large datasets (10^5 transcripts, 10^5-10^6 markers).

Purpose of the Study:

To develop a fast and efficient eQTL mapping method for large-scale homozygous populations.
To address the scalability limitations of current eQTL mapping software.

Main Methods:

Proposed FastMap, a novel method for eQTL mapping in homozygous populations with binary allele calls.
Developed a Hamming distance-based tree structure for single nucleotide polymorphisms (SNPs).
The tree structure optimizes calculations by leveraging parent SNP associations, enabling single marker and m-SNP window haplotype association mapping.

Main Results:

FastMap significantly improves the efficiency of eQTL mapping for large datasets.
The method exploits SNP structure to minimize arithmetic operations.
Enables permutation-based significance testing for robust association analysis.

Conclusions:

FastMap offers a scalable solution for eQTL mapping in homozygous populations.
The developed tree-based approach enhances computational efficiency.
FastMap facilitates more comprehensive genetic analyses with large-scale genomic and transcriptomic data.