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Related Concept Videos

Gene Duplication and Divergence02:37

Gene Duplication and Divergence

The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are characterized.
Gene Families01:57

Gene Families

Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
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...
Genome Size and the Evolution of New Genes03:21

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.
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...

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Related Experiment Video

Updated: Jun 6, 2026

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
06:40

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

Linear-time algorithms for the multiple gene duplication problems.

Cheng-Wei Luo1, Ming-Chiang Chen, Yi-Ching Chen

  • 1Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan. b89902079@ntu.edu.tw

IEEE/ACM Transactions on Computational Biology and Bioinformatics
|November 13, 2010
PubMed
Summary
This summary is machine-generated.

This study addresses gene duplication events in evolutionary molecular biology. We developed optimal linear-time algorithms for the Episode-Clustering and Minimum Episodes problems, improving gene duplication analysis.

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Area of Science:

  • Evolutionary molecular biology
  • Phylogenetics
  • Bioinformatics

Background:

  • Identifying gene duplication events is crucial for understanding genome evolution.
  • Phylogenetic information is key to locating gene duplications and multiple duplication episodes.
  • Existing methods for multiple gene duplication problems require improvement.

Purpose of the Study:

  • To develop efficient algorithms for analyzing gene duplication events.
  • To address the Episode-Clustering (EC) and Minimum Episodes (ME) problems in gene duplication analysis.
  • To enhance the understanding of gene duplication locations and episodes within species trees.

Main Methods:

  • Developed an optimal linear-time algorithm for the Episode-Clustering problem.
  • Proposed an optimal linear-time algorithm for the Minimum Episodes problem, building upon previous work.
  • Utilized phylogenetic information as the basis for algorithmic development.

Main Results:

  • Achieved an improved solution for the Episode-Clustering problem.
  • Presented a novel, efficient algorithm for the Minimum Episodes problem.
  • Both algorithms run in optimal linear time, significantly advancing computational efficiency.

Conclusions:

  • The developed algorithms provide efficient solutions for fundamental gene duplication problems.
  • These advancements facilitate more accurate placement of gene duplication events on species trees.
  • The findings contribute to a deeper understanding of evolutionary molecular biology and genome evolution.