Last update: November 13, 2025

The Molecular Clock: From Random Mutations to Measuring Time

Principle of the Molecular Clock

The molecular clock is a revolutionary concept in evolutionary biology that allows dating speciation events by using the rate of mutation accumulation in the genome.

The term "molecular clock" refers to the ability to estimate the time elapsed since the divergence of two lineages by measuring the amount of differences accumulated in their biomolecular sequences. The principle is based on the idea that neutral substitutions accumulate at an average rate, which can be used as a chronometer.

N.B.:
A neutral substitution is a change in the DNA or protein sequence that has no effect on the survival or reproduction of the organism. These substitutions are neither favored nor eliminated by natural selection and therefore accumulate randomly over time.

In its simplest form, the relationship between divergence and time is given by \(T = \dfrac{D}{2\mu}\).

Parameters of the Molecular Clock

Molecular clock formula \(T = \dfrac{D}{2\mu}\)
Symbol	Name	Unit	Physical meaning
\(T\)	Divergence time	years (or Ma)	Time elapsed since two lineages diverged from a common ancestor; this is the measure of time that the molecular clock allows to estimate.
\(D\)	Genetic distance	substitutions/site	Average proportion of differences accumulated between two homologous sequences since their separation; reflects the number of substitutions neutralized by independent evolution in each lineage.
\(\mu\)	Mutation rate	substitutions/site/year	Frequency at which a particular base is replaced by another over a unit of time in a lineage; this is the speed of the molecular clock.

N.B.:
In evolutionary biology, a lineage refers to a set of organisms descending from one another through reproduction, forming a continuous chain over time. In the context of the molecular clock, each lineage independently accumulates substitutions, and the genetic distance \(D\) between two lineages corresponds to the sum of changes that have occurred in each since their last common ancestor.

Applications and Key Datings

The molecular clock has revolutionized our understanding of evolution by allowing precise dating of key events in the history of life, from divergences between major taxonomic groups to recent evolutionary events.

It has notably resolved long-standing debates on the chronology of evolution and provided temporal frameworks for phenomena as varied as the emergence of new species, human migrations, the origin of pandemics, and the domestication of species.

Divergence event	Estimated time	Genetic material used	Reliability
Eukaryotes - Prokaryotes	2-3 billion years	Ribosomal genes	Moderate
Origin of photosynthesis	2.5-3.2 billion years	Photosynthetic genes	Moderate
Mammals - Birds	310 million years	Conserved genes	Medium
Origin of flowering plants	300 million years	Chloroplast genes	Medium
Radiation (rapid diversification) of dinosaurs	230-250 million years	Skeletal genes	Moderate
Divergence birds - crocodilians	240-275 million years	Nuclear genes	Medium
Radiation (rapid diversification) of placental mammals	66-100 million years	Mitochondrial and nuclear DNA	Medium
Cetaceans - Hippopotamuses	50-60 million years	Nuclear genes	High
Human - Chimpanzee	6-8 million years	Nuclear and mitochondrial genome	High
Mouse - Rat	12-24 million years	Complete genome	High
Neanderthal - Modern Human divergence	550,000-765,000 years	Ancient nuclear genome	High
Domestication of the dog	15,000-40,000 years	Mitochondrial DNA	Medium
Colonization of the Americas	15,000-20,000 years	Complete human genome	High
Out of Africa migration of Homo sapiens	60,000-100,000 years	Mitochondrial DNA and Y chromosome	High
Domestication of rice	8,000-13,000 years	Chloroplast genome	High
Emergence of HIV-1	Early 20th century	Complete viral genome	High
Emergence of SARS-CoV-2	2019	Complete viral genome	High

The Molecular Clock: From Random Mutations to Measuring Time

Principle of the Molecular Clock

Parameters of the Molecular Clock

Applications and Key Datings

Key datings of evolution by genetic analysis

Limitations and Challenges

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