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Related Concept Videos

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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Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...
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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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Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire...

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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

A Python-based automated pipeline for phylogenetic tree construction, visualization, and comparative statistical

Bhavika Gambhava1, Janvi Patel1, Niyati Buch1

  • 1Department of Computer Engineering, Dharmsinh Desai University, Nadiad, Gujarat, India.

Biology Open
|July 9, 2026
PubMed
Summary

This study introduces a Python pipeline for phylogenetic analysis, integrating multiple sequence alignment and tree reconstruction methods. The findings show that combining MAFFT alignment with Maximum Likelihood tree construction yields statistically robust evolutionary trees.

Keywords:
Approximately Unbiased testAutomated pipelineMaximum Likelihood inferenceMultiple Sequence AlignmentPhylogeneticsReproducibilityRobinson-Foulds distance

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Phylogenetic analysis is crucial for understanding evolutionary relationships and species divergence using biological sequence data.
  • Traditional phylogenetic workflows involve multiple software tools and heterogeneous processes.
  • Key steps include sequence alignment, model selection, tree construction, and statistical validation.

Purpose of the Study:

  • To develop a unified, Python-based pipeline for comprehensive phylogenetic analysis.
  • To integrate popular sequence alignment and tree reconstruction algorithms into a single framework.
  • To provide tools for tree visualization and statistical validation of phylogenetic results.

Main Methods:

  • Developed a Python pipeline integrating Multiple Alignment using Fast Fourier Transform (MAFFT), Multiple Sequence Comparison by Log-Expectation (MUSCLE), and ClustalW for sequence alignment.
  • Incorporated Neighbor-Joining (NJ), Unweighted Pair Group Method with Arithmetic Mean (UPGMA), Maximum Likelihood (ML), and Maximum Parsimony (MP) for tree reconstruction.
  • Implemented tree visualization and comparative assessment using topological distance measures like Robinson-Foulds (RF) and statistical tests such as Approximately Unbiased (AU), Kishino-Hasegawa (KH), and Shimodaira-Hasegawa (SH).

Main Results:

  • The pipeline successfully integrates diverse phylogenetic analysis tools into a cohesive framework.
  • Analysis of datasets indicated that using MAFFT for alignment combined with Maximum Likelihood for tree reconstruction generated trees with high statistical support.
  • The implemented statistical tests (RF, AU, KH, SH) confirmed the robustness of the generated phylogenetic trees.

Conclusions:

  • The proposed Python pipeline offers a unified and efficient approach to complex phylogenetic analyses.
  • The combination of MAFFT alignment and Maximum Likelihood tree reconstruction is recommended for generating statistically supported phylogenetic trees.
  • This integrated system facilitates a more streamlined and robust understanding of evolutionary relationships from sequence data.