Science
What Evolution Can and Cannot Explain About Complexity
The standard hard cases for evolution are not unsolved mysteries so much as well-studied tests, and they mostly strengthen the theory rather than weaken it.

In summary
Comparative anatomy, genetics, laboratory evolution and protein reconstruction all show that complex biological systems can arise through cumulative change, co-option and selection. The serious debates now concern rates, constraints and the origins of evolvability, not whether complexity requires a designer.
The vertebrate eye is no longer the flagship objection
Charles Darwin admitted that the eye gave him a “cold shudder”. The usual version of the objection still has force on first hearing: what use is half an eye? A retina, lens, iris, cornea, neural wiring and visual cortex seem to depend on one another so tightly that the whole apparatus looks irreducible. Creationist writing has dined out on that intuition for decades, though the scientific problem was always narrower. The real question is whether there are viable intermediates, each conferring some advantage, and whether known developmental systems can produce them.
There is a second confusion in the popular argument. “The eye” is treated as a single object, when animal eyes are a menagerie. Cup eyes, pinhole eyes, compound eyes and camera eyes are built from related but not identical genetic toolkits. The nautilus, famously, manages image formation with a pinhole eye and no lens at all. Vertebrate eyes are therefore not a mountain climbed in one leap. They sit within a spectrum of optical organs that differ in complexity and performance.
the challenge
The challenge is not merely to imagine a sequence from light-sensitive cells to a camera eye. It is to show that each small change improves performance enough for natural selection to retain it, while embryonic development can still make the structure. Critics often point to the vertebrate retina, where nerves pass in front of photoreceptors, creating a blind spot, as evidence that the eye is too awkward to have been engineered stepwise. That point cuts the other way. Historical compromise is exactly what evolution predicts.
what the data show
A classic paper by Dan-Eric Nilsson and Susanne Pelger in 1994 modelled a plausible route from a flat patch of photoreceptive cells to a camera-type eye. Allowing only modest changes in curvature, aperture and refractive properties, each improving spatial resolution by about 1 per cent, they estimated that a functional eye could evolve in fewer than 400,000 generations. The number is rough and dependent on assumptions, but the point was never the exact total. It showed that no absurd timescale is required.
Developmental genetics strengthened the case. The Pax6 gene, studied in fruit flies, mice and other animals, helps organise eye development across very distant lineages. That does not mean all eyes evolved once in their current form. It means old regulatory circuits were repeatedly redeployed. Comparative anatomy tells the same story of tinkering. The mammalian middle ear, often taught for its own sake, is also a textbook case of exaptation: bones that once formed part of the jaw joint in synapsid ancestors were co-opted into hearing. Complex organs are often assembled by moving old parts into new jobs. Eyes are no exception, drawing on pre-existing light-sensitive molecules, epithelial tissues and neural circuits.
The bacterial flagellum looks engineered because evolution reuses parts
The bacterial flagellum became a cause célèbre after Michael Behe presented it as “irreducibly complex”: a rotary motor whose dozens of proteins would be useless if any one essential part were missing. At a glance it is a seductive example. There is a rotor, a stator, a drive shaft, rings and a propeller. The language of mechanical engineering almost invites the wrong conclusion.
Yet the force of the objection depends on freezing the present-day flagellum and asking whether it can work if dismantled. Evolution does not work by dismantling modern systems. It works by modifying earlier ones, often with fewer components and different functions. The relevant question is whether homologous parts exist elsewhere in bacteria and whether plausible precursor systems performed useful jobs before becoming a motor.
the challenge
The challenge here is historical reconstruction. Bacteria do not leave a generous fossil record of soft molecular machines, and the proteins involved evolve quickly. That makes it harder than with bones or shells to trace exact lineages. Sceptics then leap from “hard to reconstruct in detail” to “cannot have evolved”. Those are not the same claim.
what the data show
Comparative genomics and structural biology have steadily eroded the claim of irreducibility. Several core flagellar proteins are homologous to components of the type III secretion system, a needle-like apparatus used by some bacteria to inject proteins into host cells. The evolutionary relationship is complicated, and researchers disagree about which system came first in particular lineages, but the broader point stands: these are members of a family of secretion and motility structures built from related parts. There is no isolated miracle machine sitting outside biology.
Flagella themselves are not uniform. Some bacteria use simpler motility systems than the textbook model from Salmonella. Different lineages have added, lost and rearranged components. That modular variation matters because it shows that the system is evolvable. Parts can be co-opted, duplicated or dispensed with while preserving function. Selection can then refine performance. This is the same general logic seen again and again in evolution: scaffolding first, optimisation later.
Blood clotting is intricate, not unbuildable
The vertebrate blood-clotting cascade has served as another standard exhibit for irreducible complexity. Introductory diagrams look daunting for good reason. There are zymogens, cofactors, feedback loops and branching pathways, with Roman numerals scattered across the page like military units. If any system seems too baroque for gradual evolution, this appears a promising candidate.
But the first thing to say is that the textbook cascade is not universal. Mammals, birds, fish and jawless vertebrates differ in which factors they possess and how they deploy them. Invertebrates clot blood or haemolymph by quite different means. A system that exists in multiple workable versions is poor evidence for an all-or-nothing origin.
the challenge
Here the challenge is to explain both complexity and robustness. Clot too little and an animal bleeds to death. Clot too much and vessels block. Critics argue that such balance requires all the parts to be present from the start. That argument confuses present optimisation with ancestral necessity. Early systems need only be better than uncontrolled bleeding, not as fine-tuned as a human trauma ward would prefer.
what the data show
Comparative genomics shows that much of the vertebrate cascade expanded through gene duplication and divergence. Related serine proteases were copied, modified and recruited into a chain of activations. Ancestral protein reconstruction has made that process unusually concrete. Joe Thornton and colleagues, working on steroid hormone receptors and other systems, reconstructed ancient proteins to show how new molecular specificities evolve through a combination of permissive and function-switching mutations. The clotting field has drawn on the same logic: present-day specificity can be traced back to more promiscuous ancestors that later specialised after duplication.
Jawless vertebrates such as lampreys and hagfish are especially instructive because they lack several clotting factors familiar from jawed vertebrates, yet they still haemostase. That observation alone punctures the claim that the mammalian cascade is irreducibly complex. Evolution can elaborate a simpler system into a more layered one when ecological demands change, body size increases or injuries become more severe.
The same historical pattern that reshaped the mammalian middle ear is visible here at the molecular level. Old components acquire new jobs. Exaptation is not a rare trick but a routine mechanism. A protein used in digestion, immunity or extracellular remodelling can be copied and shifted into haemostasis if the chemistry is close enough for selection to begin refining it.
New genes arrive by more routes than mutation sceptics allow
The complaint that evolution cannot explain complexity often comes down, at bottom, to incredulity about novelty. Small changes might tweak beaks or coat colour, critics say, but where do genuinely new genes come from? If all mutations merely damage existing information, complexity should decay rather than accumulate.
That framing misdescribes genomes. They are not neat libraries in which every alteration is a typo. They are dynamic records full of duplication, deletion, transposition, recombination and occasional borrowing. Evolutionary innovation depends heavily on those sources of redundancy and rearrangement.
the challenge
The challenge is twofold. First, to show that new coding or regulatory elements really arise rather than merely being discovered after the fact. Second, to explain how they avoid being neutral junk long enough to matter. De novo genes, in particular, once seemed implausible because a random stretch of DNA was assumed unlikely to become a useful protein.
what the data show
Gene duplication is the most established route. A copied gene can preserve the original function in one copy while the other accumulates changes, sometimes partitioning tasks, sometimes acquiring a new role entirely. Whole-genome duplications in the ancestry of vertebrates probably supplied abundant raw material for innovation, although the exact number and timing of those events remain debated.
De novo gene birth is now documented in several lineages, from yeast to flies to mammals. Most such genes are short and many will be transient, but some gain expression, function and selective value. New genes also arise by exon shuffling, retroposition and the domestication of transposable elements. The placenta offers a famous example: syncytin genes in mammals were derived from ancient viral envelope genes and recruited for cell fusion. There is nothing mystical about this. Genomes are opportunists.
Lenski’s E. coli lines again matter because they show novelty emerging under observation. The citrate-using trait was not a brand-new gene, but a regulatory innovation that created a new ecological opportunity. That is often how complexity starts: not with a miracle protein, but with a changed context in which existing parts interact differently. Over longer periods, selection and drift can then stabilise and elaborate those interactions into pathways that later look inevitable.
The argument now is about mechanisms within evolution
Taken one by one, the stock hard cases are no longer very hard in the old sense. The eye has plausible intermediates and deep developmental homologies. The flagellum has relatives, modules and an intelligible history of co-option. Clotting cascades vary across animals and bear the signatures of duplication and specialisation. New genes arise by several routes, some observed directly, others reconstructed from comparative data.
There is still plenty to argue about. Biologists dispute how often adaptation dominates over drift, how developmental systems bias the production of variation, and whether some forms of organisation are attractors in evolutionary space. Those are live scientific disagreements. They exist because the central fact of common descent with modification has generated a research programme, not because that programme is collapsing.
The fairest answer to the title is therefore slightly awkward. Evolution explains an enormous amount of biological complexity, and no rival account has matched its explanatory power or evidential support. Whether it can explain every detail is not a yes-or-no philosophical prize. It is a practical research agenda, carried forward case by case, with the hardest examples now mostly serving as evidence for the theory that was once supposed to fail on them.
Key takeaways
- The strongest historical objections to evolution now function mainly as test cases that comparative biology, genetics and laboratory experiments handle surprisingly well.
- Complex systems commonly evolve through co-option, duplication and exaptation; the mammalian middle ear is a clear anatomical example of old parts reassigned to new tasks.
- Nilsson and Pelger’s eye model, Lenski’s LTEE and ancestral protein reconstruction all show that cumulative small changes can generate striking novelty without invoking design.
- Open questions about evolvability, developmental constraint and mutational bias are genuine research frontiers inside evolutionary biology, not evidence against it.
Frequently asked questions
Does the vertebrate eye still count as a serious problem for evolution?
As a historical challenge, yes; as a current objection, not really. Comparative anatomy shows many intermediate eye types in living animals, and the 1994 Nilsson and Pelger model showed that gradual improvements in optical performance can accumulate on plausible timescales. The harder modern questions concern developmental constraints and why certain eye designs evolve repeatedly.
What is wrong with the idea of ‘irreducible complexity’?
It treats a modern system as if evolution had to build that exact version in one go. In practice, evolution modifies earlier systems with different functions, often by co-opting parts from elsewhere. When researchers compare genes and proteins across species, supposedly irreducible systems such as the flagellum or clotting cascade usually turn out to have simpler relatives and reusable components.
Did Lenski’s long-term evolution experiment create a new species or just minor changes?
The experiment is not chiefly important because it produced a new species label. Its significance is that it records, over more than 75,000 generations, how novel functions can arise through ordinary mutations, historical contingency and selection. The evolution of aerobic citrate use is the clearest example of a genuinely new ecological capability emerging step by step.
Can completely new genes really evolve from non-coding DNA?
Yes, though not every candidate survives scrutiny and many new genes are small or short-lived. Comparative genomics now supports de novo gene birth in several groups, alongside better-known mechanisms such as duplication, exon shuffling and retroposition. The point is not that every random sequence becomes useful, but that genomes generate more raw material than earlier models assumed.
Are there any real scientific gaps left in explaining complexity?
Several. Researchers still debate how developmental systems bias the kinds of variation that appear, how often complex traits are driven by selection rather than drift, and what makes some lineages more innovative than others. Those are substantial questions, but they are questions about the dynamics of evolution, not about whether evolution happened.
Keep reading on Novapedia
- How did life begin on Earth?
for the separate question of how heredity and metabolism arose before Darwinian evolution took over
- How do scientists know something is true?
for the evidential standards behind simulations, comparative genomics and laboratory evolution
- What makes a scientific study reliable?
for assessing why some claimed challenges to evolution fail basic tests of robustness
Further reading
Authoritative external sources for readers who want the primary material.
- Understanding Evolution — University of California Museum of Paleontology
- The Royal Society on evolution — The Royal Society
- Understanding Evolution — University of California Museum of Paleontology
- How to Build a Bacterial Flagellum — Proceedings of the National Academy of Sciences
- Blood Clotting and Evolution — Nature
