sciencebriefs
13:00in productionCh. 1 · Random mutation or induced response/ 13:00 · ceiling 15 min
Genetics · Evolution

Luria–Delbrück experiment

In 1943 two scientists asked whether bacteria become resistant to a virus because the virus causes it or because a random mutation was already there waiting, and settled the question just by counting how unevenly resistant colonies turned up across separate culture tubes.

Salvador Luria and Max Delbrück set out in 1943 to determine whether bacterial resistance to a virus arose from mutations that occurred randomly before exposure, or was instead induced by exposure itself. They grew separate small cultures of E. coli, exposed equal samples from each to the bacteriophage T1, and counted resistant colonies on each plate. If exposure induced resistance, every plate should show a similar, modest number of survivors; instead, the counts varied wildly, with some plates showing large jackpots of resistant colonies and others almost none, a pattern of variance far exceeding the mean that Delbrück matched to a probability distribution built for exactly this scenario. The result showed that resistance-conferring mutations happen randomly during ordinary bacterial growth, independent of the virus, extending the logic of Darwinian selection down to bacteria. Luria and Delbrück later shared the 1969 Nobel Prize in Physiology or Medicine, credited to their broader work on virus genetics rather than this experiment specifically.

Chapters & takeaways6
  1. 0:08
    Random mutation or induced response

    The experiment was designed to distinguish two competing explanations for bacterial resistance.

  2. 2:10
    Bacteria, a virus, and separate tubes

    Independent cultures were exposed to the same virus and their survivors counted.

  3. 4:20
    A spread too wide for chance alone

    Resistant-colony counts varied far more than a uniform response could explain.

  4. 6:30
    Delbrück does the math

    A matching probability distribution gave the pattern precise statistical backing.

  5. 8:40
    Bacteria obey Darwin too

    The result extended natural selection's logic down to single-celled organisms.

  6. 10:50
    A Nobel, decades later, for something broader

    Recognition came in 1969, credited to related but different later work.

Worth your time?

Yes. Study the whole thing.

4.5/ 5
What works
  • the logic connecting the two hypotheses to two clearly different statistical predictions is unusually clean
  • the mismatch with a uniform-response distribution was large and unambiguous
  • Delbrück's matching probability distribution has held up as the standard account of the pattern
What does not
  • the experiment settled a mechanism question without explaining what a mutation is at the molecular level
  • the result concerned this specific case of virus resistance, not a claim covering every trait in every organism
Study it if
  • anyone who likes a genuinely elegant statistical argument in biology
  • readers curious whether evolution by natural selection applies to bacteria
  • people interested in how a simple counting exercise can settle a contested mechanism
Skip it if
  • readers wanting the molecular biology of what a mutation actually is
  • anyone looking for the full scope of Luria and Delbrück's Nobel-winning virus research
The written brief3 min read

Random mutation or induced response

In 1943, Salvador Luria and Max Delbrück set out to resolve a specific, contested question about bacteria: when a bacterial population becomes resistant to a virus, does that resistance come from a mutation that occurred randomly at some point before the bacteria ever met the virus, or does contact with the virus itself somehow induce the resistance directly in cells it touches? The two possibilities corresponded to genuinely different pictures of how evolution works, one in which selection acts on variation that already existed beforehand, and one in which the environment produces the adaptation it then rewards, and nothing about bacteria at the time made it obvious which picture applied to them.

Bacteria, a virus, and separate tubes

Their method relied on counting rather than any new instrument. They grew a number of separate, independent cultures of Escherichia coli, starting each from a small number of cells and letting it grow for a period, then plated equal volumes from each culture onto agar containing the bacteriophage T1, a virus that kills susceptible bacteria on contact. If exposure to the virus were what caused resistance, every plate should show a similar, fairly modest number of resistant colonies, since each culture had received the same exposure to the same virus at the same time. If instead resistance arose from mutations occurring randomly during each culture’s earlier, ordinary growth, then the timing of those chance mutations would matter enormously to the final count.

A spread too wide for chance alone

The results matched the second picture. The number of resistant colonies varied wildly from plate to plate, with some showing large jackpots of survivors and others almost none, a pattern of variance far exceeding what a uniform, virus-induced response would produce, which should have followed a distribution with variance close to its mean. That kind of unevenness makes sense only if an early mutation in one culture’s history had time to multiply into a large resistant population before plating, while a culture where the same mutation happened to arise late, or not at all, would show few or no resistant colonies. Delbrück worked out a probability distribution, since named for both researchers, that matched this pattern of wide fluctuation mathematically, turning a striking but qualitative impression into a precise, checkable statistical claim.

Delbrück does the math

What the experiment settled was specifically the mechanism question: mutations conferring resistance to the virus arise randomly during ordinary bacterial growth, independent of the virus, and exposure to the virus afterward only reveals which cells already happened to carry that mutation rather than causing it. It did not, on its own, explain what a mutation actually is at the molecular level, a question that later genetics would take up separately, and its direct evidence concerned this one case, bacteriophage resistance in a particular bacterium, rather than a sweeping claim covering every trait in every organism. The strength of the result lies in how cleanly it distinguished two specific, competing predictions, not in how far its scope extended beyond that comparison.

Bacteria obey Darwin too

The finding mattered well past this one virus and this one bacterium because it settled a genuinely open question about whether the basic logic of Darwinian evolution, selection acting on variation that already existed before the environment intervened, held for single-celled organisms as much as for plants and animals. Bacteria reproduce far faster than the organisms Darwin had studied and live in intimate, continuous contact with whatever might be killing them, and it had not been obvious in advance that the same evolutionary rules would apply. The fluctuation test showed that they did, extending natural selection’s reach down to the simplest organisms being studied and helping lay the statistical groundwork for the emerging field of bacterial genetics.

A Nobel, decades later, for something broader

Luria and Delbrück, together with Alfred Hershey, went on to share the 1969 Nobel Prize in Physiology or Medicine, though the prize citation recognised their broader body of work on the replication and genetic structure of viruses rather than the fluctuation test specifically, a reminder that a result can shape how an entire field thinks well before, or even separately from, the achievement that eventually wins it formal recognition. This is worth an hour for how a small, countable difference, resistant colonies bunched heavily on a few plates and nearly absent on others, was enough on its own to settle a real dispute about how evolution operates at the smallest biological scale available at the time.

Same field · Genetics4 of 57
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