Phylogenetic Tree Maker AI-Powered
Describe the organisms and their evolutionary relationships, and our AI will generate a professional phylogenetic tree instantly. Ideal for molecular phylogenetics, taxonomy, epidemiology, and evolutionary biology.
Phylogenetic Tree Generator
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Your phylogenetic tree will appear here
Describe the organisms and relationships, then click Generate
Phylogenetic Tree Examples
Browse phylogenetic tree examples from diverse fields or generate your own above
Mammalian Phylogenetic Tree
Comprehensive mammalian phylogeny depicting the radiation of major orders from monotremes to primates, with estimated divergence times in millions of years.
Virus Evolution Tree
Molecular phylogeny of RNA virus families illustrating evolutionary relationships, mutation rates, and cross-species transmission events.
Bacterial 16S rRNA Phylogeny
16S ribosomal RNA gene phylogeny of major bacterial phyla, the standard molecular marker used for bacterial classification and metagenomics.
Plant Evolution Phylogeny
Evolutionary tree of land plants showing the progression from aquatic ancestors through bryophytes, ferns, gymnosperms, to flowering plants with key adaptations labeled.
Human Migration Phylogeny
Mitochondrial DNA haplogroup phylogeny tracing human migration patterns from Africa to all inhabited continents, with estimated dates of divergence.
Protein Family Tree
Molecular phylogeny of a protein superfamily illustrating sequence divergence, conserved domains, and functional evolution across model organisms.
What is a Phylogenetic Tree?
A phylogenetic tree is a branching diagram that represents the evolutionary relationships among biological entities — typically species, genes, or proteins. Each branching point (internal node) represents a hypothesized common ancestor, and the tips (terminal nodes or leaves) represent the taxa being compared. Branch lengths can encode evolutionary time (chronograms), genetic distance (phylograms), or carry no quantitative meaning (cladograms). Phylogenetic trees are the central framework of evolutionary biology, providing a visual hypothesis of how organisms are related through descent with modification. They are constructed using morphological characters, molecular sequence data (DNA, RNA, or protein), or a combination of both.
Types of Phylogenetic Trees
- Rooted trees — have a single ancestral node (root) representing the most recent common ancestor of all taxa; the direction of evolution flows from root to tips
- Unrooted trees — show relationships among taxa without specifying the common ancestor or direction of evolution; commonly produced by neighbor-joining and maximum likelihood methods
- Cladograms — branch lengths are uniform and carry no information; only the topology (branching pattern) matters for showing shared derived characteristics
- Phylograms — branch lengths are proportional to the amount of evolutionary change (e.g., nucleotide substitutions per site)
- Chronograms — branch lengths are proportional to time, with tips aligned to the present; calibrated using fossil records or molecular clock estimates
- Circular (radial) trees — a rooted tree drawn in a circular layout to efficiently display large numbers of taxa, commonly used in metagenomics and comparative genomics
How to Read a Phylogenetic Tree
Reading a phylogenetic tree correctly requires focusing on the pattern of branching rather than the order of taxa at the tips. Two taxa are most closely related if they share a more recent common ancestor (node) that excludes other taxa. Branch rotation around a node does not change the evolutionary relationships — only the topology matters. Bootstrap values (typically 0-100) or posterior probabilities at nodes indicate statistical support for that particular branching arrangement. Higher values mean stronger confidence that the grouping is correct. Branch lengths in phylograms represent the amount of evolutionary change; longer branches indicate more genetic divergence. A scale bar shows the unit of measurement, such as substitutions per nucleotide site. Outgroups — taxa known to be outside the group of interest — are used to root the tree and establish the direction of evolution.
Molecular Phylogenetics Methods
- Sequence alignment — the first step, aligning homologous DNA, RNA, or protein sequences to identify conserved and variable positions using tools like MUSCLE, MAFFT, or ClustalW
- Distance-based methods — calculate pairwise evolutionary distances and cluster taxa accordingly; neighbor-joining (NJ) is fast and widely used for exploratory analysis
- Maximum parsimony — finds the tree that requires the fewest evolutionary changes to explain the observed sequence data; effective for closely related taxa
- Maximum likelihood (ML) — evaluates the probability of the sequence data given a tree topology and substitution model; statistically rigorous but computationally intensive (e.g., RAxML, IQ-TREE)
- Bayesian inference — uses Markov chain Monte Carlo (MCMC) sampling to estimate posterior probabilities of tree topologies given the data and a prior model (e.g., MrBayes, BEAST)
- Bootstrap analysis — resamples alignment columns with replacement to assess the robustness of each node; values above 70-80% are generally considered well-supported
Applications in Biological Research
- Taxonomy and systematics — classifying organisms and revising taxonomic nomenclature based on evolutionary relationships rather than superficial similarity
- Epidemiology and public health — tracing the origin and spread of pathogens, identifying zoonotic spillover events, and tracking viral variant evolution in real time
- Conservation biology — identifying evolutionarily distinct and globally endangered (EDGE) species to prioritize conservation efforts and preserve maximum phylogenetic diversity
- Drug discovery and functional genomics — predicting gene and protein function through phylogenetic orthology, guiding the search for drug targets across species
- Biogeography and paleontology — reconstructing ancestral geographic ranges and integrating fossil calibration points to date evolutionary events
- Metagenomics and microbiome research — classifying microbial communities using 16S/18S rRNA phylogenies and understanding ecological community structure
Frequently Asked Questions
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