What is the difference between a phylogenetic tree and a cladogram?

A phylogenetic tree (or phylogram) uses branch lengths to encode the amount of evolutionary change or elapsed time along each lineage, giving quantitative information about divergence. A cladogram uses uniform branch lengths and only conveys the branching pattern (topology): which taxa share a more recent common ancestor, without indicating how much evolutionary change separates them.

How do I read bootstrap values on a phylogenetic tree?

Bootstrap values are numbers from 0 to 100 placed at internal nodes of a phylogenetic tree. Each value represents the percentage of bootstrap replicates in which that particular grouping appeared. Values above 70 are commonly interpreted as moderate support, and values above 90 indicate strong support. A value of 95 at a node means that 95 out of every 100 resampled datasets produced the same grouping.

Can I create a circular phylogenetic tree with this tool?

Yes. The phylogenetic tree generator supports rectangular, circular (radial), and unrooted layouts. A circular arrangement is especially practical when displaying many taxa, since the radial format makes efficient use of available space. To use it, simply choose "Circular / Radial" as the tree layout in the generator options.

What data do I need to build a phylogenetic tree?

Phylogenetic trees can be inferred from molecular data (DNA, RNA, or protein sequences), morphological characters, or both combined. Common molecular markers include 16S rRNA for bacteria, ITS for fungi, COI for animals, and rbcL or matK for plants. The Figviz tool generates phylogenetic tree visualizations from plain-language descriptions: just describe the organisms and their known or expected relationships, and the AI handles the rest.

How is a phylogenetic tree used in epidemiology and virus tracking?

In epidemiology, phylogenetic trees constructed from pathogen genome sequences reveal transmission chains, pinpoint outbreak origins, trace geographic spread, and detect the emergence of new variants. This approach was central to the global response to COVID-19, where platforms such as Nextstrain used real-time SARS-CoV-2 phylogenies to track variant evolution and support public health decisions.

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Phylogenetic Tree Maker AI-Powered

Describe your organisms and their evolutionary relationships, and our AI will generate a professional phylogenetic tree right away. Ideal for molecular phylogenetics, taxonomy, epidemiology, and evolutionary biology.

✓Branch Lengths & Bootstrap Values✓Rectangular, Circular & Unrooted Layouts✓Molecular Phylogeny Visualization✓Publication-Ready Quality

Phylogenetic Tree Examples

Explore phylogenetic tree examples from diverse research fields or generate your own above

Mammalian Phylogenetic Tree

A detailed mammalian phylogeny covering the diversification of major orders from monotremes through to primates, with divergence time estimates shown in millions of years.

mammalsevolutiondivergence

Virus Evolution Tree

Molecular phylogeny across RNA virus families showing how lineages diverged, mutation rates differ, and cross-species transmission events occurred.

virologymolecular-phylogenyRNA-viruses

Bacterial 16S rRNA Phylogeny

16S ribosomal RNA gene phylogeny spanning major bacterial phyla, the standard molecular marker used in bacterial classification and metagenomics studies.

bacteria16S-rRNAmicrobiology

Plant Evolution Phylogeny

Evolutionary tree of land plants charting the transition from aquatic ancestors through bryophytes, ferns, and gymnosperms to flowering plants, with key adaptive traits labeled.

botanyplant-evolutionland-plants

Human Migration Phylogeny

Mitochondrial DNA haplogroup phylogeny charting human dispersal from Africa to all inhabited continents, with estimated divergence dates at major branching points.

human-geneticsmigrationhaplogroups

Protein Family Tree

Molecular phylogeny of a protein superfamily capturing sequence divergence, conserved domain architecture, and functional evolution across widely studied model organisms.

proteomicsprotein-evolutionbioinformatics

Prompt templates you can copy

Start with one of these examples, then adapt the subject, labels, data, or layout for your own use.

Mammalian Phylogenetic Tree

A detailed mammalian phylogeny covering the diversification of major orders from monotremes through to primates, with divergence time estimates shown in millions of years.

Create a phylogenetic tree showing the evolutionary relationships among major mammalian orders: Monotremata (platypus), Marsupialia (kangaroo), Xenarthra (armadillo), Afrotheria (elephant), Laurasiatheria (dog, bat, whale), Euarchontoglires (rodents, primates). Include branch lengths proportional to divergence time in millions of years ago (MYA). Label key nodes with bootstrap support values. Scientific publication style, rectangular tree layout, white background.

Virus Evolution Tree

Molecular phylogeny across RNA virus families showing how lineages diverged, mutation rates differ, and cross-species transmission events occurred.

Create a phylogenetic tree showing the evolutionary relationships among major RNA virus families: Coronaviridae (SARS-CoV-2, MERS), Orthomyxoviridae (Influenza A, B), Filoviridae (Ebola, Marburg), Flaviviridae (Dengue, Zika), and Retroviridae (HIV-1, HIV-2). Show branch lengths reflecting genetic distance, label key mutation events and host species. Rectangular tree layout, color-coded by virus family, scientific publication style, white background.

Bacterial 16S rRNA Phylogeny

16S ribosomal RNA gene phylogeny spanning major bacterial phyla, the standard molecular marker used in bacterial classification and metagenomics studies.

Create a phylogenetic tree based on 16S rRNA gene sequences showing major bacterial phyla: Proteobacteria (alpha, beta, gamma subdivisions), Firmicutes, Actinobacteria, Bacteroidetes, Cyanobacteria, Spirochaetes, and Archaea as outgroup. Include bootstrap values at key nodes, scale bar for nucleotide substitutions per site. Rectangular tree layout, branches color-coded by phylum, academic microbiology style, white background.

Plant Evolution Phylogeny

Evolutionary tree of land plants charting the transition from aquatic ancestors through bryophytes, ferns, and gymnosperms to flowering plants, with key adaptive traits labeled.

Create a phylogenetic tree showing the evolution of land plants: Charophyta (green algae outgroup), Bryophyta (mosses), Marchantiophyta (liverworts), Anthocerotophyta (hornworts), Lycopodiopsida (club mosses), Polypodiopsida (ferns), Cycadopsida (cycads), Ginkgoopsida (ginkgo), Pinopsida (conifers), and Magnoliopsida (flowering plants: monocots and eudicots). Label key evolutionary innovations: cuticle, stomata, vascular tissue, seeds, flowers. Branch lengths proportional to divergence time. Academic botanical illustration style, white background.

What is a Phylogenetic Tree?

A phylogenetic tree is a branching diagram that encodes the evolutionary history of biological entities such as species, genes, or proteins. Every internal node represents a hypothesized ancestral lineage, while the tips (terminal nodes or leaves) correspond to the taxa under study. Branch lengths may convey evolutionary time (chronograms), genetic distance (phylograms), or remain non-quantitative (cladograms). As the foundational framework of evolutionary biology, phylogenetic trees express a visual hypothesis of how organisms descended from shared ancestors. They are inferred from morphological characters, molecular sequence data (DNA, RNA, or protein), or a combination of both evidence types.

Types of Phylogenetic Trees

Rooted trees: contain a single root node representing the most recent common ancestor of all included taxa; the direction of evolution proceeds from root outward to tips

Unrooted trees: display taxon relationships without indicating the ancestral root or evolutionary direction; commonly produced by neighbor-joining and maximum likelihood methods

Cladograms: use uniform branch lengths that carry no quantitative meaning; only the topology (branching arrangement) matters for identifying shared derived characters

Phylograms: scale branch lengths proportionally to the degree of evolutionary change, such as nucleotide substitutions per site

Chronograms: scale branch lengths proportionally to elapsed time, with all tips aligned to the present; time-calibrated using fossil records or molecular clock estimates

Circular (radial) trees: display a rooted tree in a ring layout to fit large numbers of taxa into limited space; widely used in metagenomics and comparative genomics

How to Read a Phylogenetic Tree

Interpreting a phylogenetic tree correctly means focusing on the branching pattern rather than the left-to-right order of taxa at the tips. Two taxa are most closely related when they share a more recent common ancestor that excludes all other taxa. Rotating branches around any node does not alter the evolutionary relationships encoded by the topology. Bootstrap values (ranging from 0 to 100) or posterior probabilities placed at internal nodes indicate the statistical confidence that a given grouping is genuine; higher numbers reflect stronger support. In a phylogram, branch lengths represent the quantity of evolutionary change along each lineage, and a scale bar indicates the unit of measurement such as substitutions per nucleotide site. Outgroups are taxa that sit outside the focal group of interest; they anchor the root and establish the direction in which evolution proceeded.

Molecular Phylogenetics Methods

Sequence alignment: the starting point, in which homologous DNA, RNA, or protein sequences are aligned to reveal conserved and variable positions; tools such as MUSCLE, MAFFT, and ClustalW are widely used

Distance-based methods: compute pairwise evolutionary distances between sequences and group taxa accordingly; neighbor-joining (NJ) is fast and well-suited for exploratory analyses

Maximum parsimony: identifies the tree topology requiring the smallest number of evolutionary changes to account for the observed sequence variation; works best when taxa are closely related

Maximum likelihood (ML): calculates the probability of observing the sequence data given a tree topology and a substitution model; statistically rigorous but computationally demanding (RAxML, IQ-TREE)

Bayesian inference: uses Markov chain Monte Carlo (MCMC) sampling to estimate posterior probability distributions over tree topologies given the data and a prior model (MrBayes, BEAST)

Bootstrap analysis: resamples alignment columns with replacement and rebuilds the tree each time; the fraction of replicates supporting a given node is the bootstrap value; values above 70 to 80 percent are generally treated as well-supported

Applications in Biological Research

Taxonomy and systematics: classifying organisms and refining nomenclature based on shared ancestry rather than superficial physical similarity

Epidemiology and public health: reconstructing pathogen transmission chains, identifying zoonotic spillover events, and monitoring viral variant emergence in real time

Conservation biology: pinpointing evolutionarily distinct and globally endangered (EDGE) species so that conservation resources can be directed toward preserving maximum phylogenetic diversity

Drug discovery and functional genomics: inferring gene and protein function through phylogenetic orthology relationships, guiding the prioritization of drug targets across species

Biogeography and paleontology: inferring ancestral geographic distributions and integrating fossil calibration points to assign ages to key evolutionary events

Metagenomics and microbiome research: classifying microbial communities using 16S and 18S rRNA phylogenies and illuminating the ecological structure of complex microbial assemblages

Frequently asked questions

Figviz provides a free AI-powered phylogenetic tree generator that produces publication-quality evolutionary trees in seconds. Simply describe the taxa and their relationships, choose a layout and visual style, and the AI assembles a professional diagram ready for research papers, theses, and presentations. No software installation or programming knowledge is needed.

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