The molecular clock hypothesis states that genetic changes accumulate at a relatively constant rate over evolutionary time, allowing divergence time between species to be estimated from DNA or protein sequence differences. Clock-like evolution is expected for neutral substitutions under the neutral theory. Clock rates vary among genes and organisms, but the principle enables molecular dating of evolutionary events.
Calibrate molecular clocks using fossil dates, then use them to date divergences without fossil records. Compare clock rates among different genes and organisms.
From your study of neutral theory, you know that most molecular changes at the DNA level are selectively neutral — they neither help nor harm the organism and spread through populations by genetic drift alone. The molecular clock hypothesis builds directly on this insight: if neutral mutations accumulate at a roughly constant rate per generation, then the number of sequence differences between two species should be proportional to the time since they diverged from a common ancestor. More differences means more time has passed, just as more ticks on a clock means more elapsed time.
The logic works like this. Suppose a particular gene accumulates neutral substitutions at an average rate of one per million years. If you compare that gene between humans and mice and find 150 differences, you can estimate that the two lineages diverged roughly 75 million years ago (dividing by two because mutations accumulated independently in both lineages after splitting). To use this method, you need at least one calibration point — a divergence event with a known date, usually from the fossil record. Once calibrated, the clock can estimate divergence times for lineages that left no fossils at all, which is what makes molecular clocks so powerful for reconstructing evolutionary history.
However, the clock does not tick perfectly. Different genes evolve at different rates depending on the strength of purifying selection acting on them. Histone genes, which encode proteins critical for chromosome packaging, change extremely slowly because almost any mutation disrupts function. Fibrinopeptides, which are cleaved off during blood clotting and have little functional constraint, evolve much faster. Even within a gene, synonymous sites (which do not change the amino acid) accumulate substitutions faster than nonsynonymous sites. This means you must choose the right gene for the timescale you are dating: fast-evolving sequences for recent divergences, slow-evolving ones for ancient splits.
Rate variation across lineages is the most serious challenge to clock-based dating. Organisms with shorter generation times (like rodents) tend to accumulate mutations faster than those with longer generation times (like elephants), because most mutations arise during DNA replication in the germline. Modern methods address this with relaxed clock models that allow the rate to vary across branches of a phylogenetic tree, rather than assuming a single strict rate. These statistical models estimate both the rate variation and the divergence times simultaneously, producing confidence intervals rather than point estimates. Despite its imperfections, the molecular clock remains one of the most important tools in evolutionary biology — it is often the only way to date divergence events in groups with poor fossil records, such as bacteria, fungi, and many marine invertebrates.