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Related Concept Videos

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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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A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Distance methods for phylogenetic prediction.

David W Mount

    CSH Protocols
    |March 2, 2011
    PubMed
    Summary
    This summary is machine-generated.

    Phylogenetic analysis uses distance methods to infer evolutionary relationships from multiple sequence alignments (msa). Genetic distance, calculated as the fraction of sequence changes, identifies closely related "neighbor" sequences for tree construction.

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Evolutionary Biology

    Background:

    • Phylogenetic analysis reconstructs evolutionary histories of biological sequences.
    • Multiple sequence alignment (msa) is a foundational step in phylogenetic analysis.
    • Distance methods offer one approach to inferring phylogenetic trees from msas.

    Purpose of the Study:

    • To explain the principles of distance-based phylogenetic analysis.
    • To define genetic distance and its relation to sequence identity.
    • To illustrate how genetic distances identify neighboring sequences for tree building.

    Main Methods:

    • Calculation of genetic distance based on pairwise sequence comparisons within an msa.
    • Consideration of gaps and use of scoring/substitution matrices in distance calculations.
    • Identification of 'neighbor' sequence pairs with minimal genetic distances.

    Main Results:

    • Genetic distance quantifies evolutionary divergence between sequences.
    • Sequence identity represents the proportion of conserved positions.
    • Neighboring sequences, identified by small genetic distances, share common ancestry nodes on phylogenetic trees.

    Conclusions:

    • Distance methods provide a straightforward approach to phylogenetic inference.
    • Understanding genetic distance is crucial for interpreting evolutionary relationships from msas.
    • The concept of neighboring sequences simplifies the construction of phylogenetic trees.