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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...
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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...
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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
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Microbial Phylogeny01:28

Microbial Phylogeny

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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Updated: May 8, 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

Efficient inference of local ancestry.

James J Yang1, Jia Li, Anne Buu

  • 1Public Health Sciences, Henry Ford Health System, Detroit, Department of Psychiatry, University of Michigan, Ann Arbor and Center for Health Services Research, Henry Ford Health System, Detroit, MI, USA.

Bioinformatics (Oxford, England)
|August 21, 2013
PubMed
Summary
This summary is machine-generated.

Efficient Inference of Local Ancestry (EILA) accurately determines genetic ancestry in admixed populations. This new method shows higher accuracy and lower variation than existing tools, especially with greater ancestral distance.

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Last Updated: May 8, 2026

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Published on: February 3, 2013

Area of Science:

  • Population Genetics
  • Statistical Genomics
  • Bioinformatics

Background:

  • Admixture mapping relies on inferring local ancestry for admixed individuals.
  • Local ancestry information is crucial for identifying genetic susceptibility loci.

Purpose of the Study:

  • To develop and evaluate a novel statistical method for efficient local ancestry inference in admixed populations.
  • To compare the performance of the new method against existing tools like HAPMIX and LAMP.

Main Methods:

  • Developed Efficient Inference of Local Ancestry (EILA) using fused quantile regression and k-means clustering.
  • Conducted simulation studies using HapMap data to assess EILA's performance.
  • Evaluated computational efficiency and accuracy across varying ancestral distances and admixture times.

Main Results:

  • EILA demonstrated comparable computational efficiency to HAPMIX and LAMP.
  • Performance decreased with decreased ancestral distance and increased time since admixture.
  • EILA exhibited higher accuracy and lower variation than HAPMIX and LAMP when ancestral distance was large or moderate.
  • All methods performed poorly with closely related ancestral populations.

Conclusions:

  • EILA is a robust and accurate method for local ancestry inference.
  • The method offers advantages in accuracy and precision, particularly in scenarios with significant ancestral divergence.
  • EILA is available as a freely accessible R package.