Related Experiment Video
Updated: Jun 12, 2026
08:57
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
Evaluating nested clade phylogeographic analysis under models of restricted gene flow
Mahesh Panchal1, Mark A Beaumont
1School of Biological Sciences, University of Reading, Whiteknights, PO Box 228, Reading RG6 6AJ, UK. panchal@evolbio.mpg.de
Systematic Biology
|June 16, 2010
Summary
Nested clade phylogeographic analysis (NCPA) often produces misleading results, with high false-positive rates in population genetics studies. Multilocus NCPA reduces errors but doesn't improve accuracy, suggesting the method needs rigorous simulation-based testing.
Area of Science:
- Population genetics
- Phylogeography
- Computational biology
Background:
- Nested clade phylogeographic analysis (NCPA) is a common method for inferring demographic history.
- Previous studies indicated NCPA's susceptibility to false positives, particularly under random mating.
- This study investigates NCPA's reliability under restricted gene flow scenarios.
Purpose of the Study:
- To evaluate the performance of single-locus and multilocus NCPA under various models of restricted gene flow.
- To assess the accuracy and false-positive rates of NCPA in spatially structured populations.
- To introduce and test a new program, ANeCA-ML, for multilocus NCPA.
Main Methods:
- Simulated population genetic data under three gene flow models: stepping stone, island, and stepping stone with long-distance dispersal.
- Implemented multilocus NCPA using the ANeCA-ML program.
- Compared results from single-locus and multilocus NCPA with standard population genetics tests (AMOVA, Fu's Fs, Mantel test).
Main Results:
- Single-locus NCPA exhibited high false-positive rates across all tested models, exceeding 76% and reaching over 99% in the island model.
- Multilocus NCPA reduced false positives compared to single-locus analysis but remained high in certain scenarios (e.g., 54% for the island model).
- While multilocus NCPA decreased sensitivity, it did not enhance the overall accuracy of inferences.
Conclusions:
- The NCPA method, in its current form, is unreliable for inferring demographic history under restricted gene flow.
- Inferences drawn from NCPA can be misleading, necessitating caution in its application.
- Researchers should conduct objective, simulation-based testing before employing NCPA in their studies.
Related Concept Videos
02:54Evolutionary 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...
02:05Gene 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...
In contrast, regions which code...
02:05Gene 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...
In contrast, regions which code...
02:39Gene Flow
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
01:28Microbial 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,...
01:09Mutation, Gene Flow, and Genetic Drift
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).Mechanisms of Genetic VariationThe original sources of genetic variation are mutations,...