Cultural Evolution Evolution Psychology

TC paper - The psychological foundations of culture

The psychological foundations of culture

TC make the case that a full and accurate science of culture requires a recognition of the important role played by the information-processing mechanisms of the mind.

They note that historically in the social sciences, the perspective has been taken that the human mind starts off as something of a blank slate, with content being written into it by external culture. They attribute this perspective in part to the (erroneous) deduction that since infants are born apparently knowing nothing and yet grow into contentful adults, therefore all content must have come in from outside sources.

They note that in contrast, the evolved mind is full of content-rich, adaptive information-processing systems, and that the growth of humans in knowledge and abilities from infancy is the result of a complex interplay between the information available in the environment and the mechanisms of the mind. To take just one example, although we clearly get the words of our local language from our environment, we contain evolved language acquisition mechanisms that enable us to do this. They note that the explanations often given in the social sciences explaining human behaviours and faculties, such as "learning", "culture", "rationality" and "intelligence" are not really explanations at all, but rather substitutes for the required elaborations of how the mechanisms of the mind actually work.

In a wide-ranging, fascinating paper, they suggest among other things that culture, rather than being viewed as a unitary phenomenon, can be usefully subdivided into a number of different categories:

  1. "Metaculture" - the elements of our culture attributable to human universals, for example parental care, sexual attraction, the consumption of food, play, participation in coalitions and so on
  2. "Evoked culture" - alternative, domain-specific mechanisms, triggered by local circumstances, for example different food-sharing dynamics depending on the characteristics of locally-available food sources.
  3. "Epidemiological culture" - what some others may term "transmitted culture". This is the closest match to what is currently recognised in the social sciences as culture: "Observer's inferential mechanisms construct representations similar to those present in others." However, note that the focus is on the fact that it is the observer's mechanisms that are determining what internal representations they form, in contrast to the standard social science view that culture is in some way writing itself into people. An important corollary is that the "domain-specific mechanisms influence which representations spread through a population easily and which do not." People are not simply passive absorbers of an independent "culture".

They go into considerable depth on why we should expect many or most of the mechanisms of the mind to be "domain-specific", rather than "domain-general" (including the evolutionary necessity of minimizing 'combinatorial explosion' and the 'frame problem'), and they outline methodologies for discovering and describing the domain-specific mechanisms of the mind.

A long, but essential read, almost a mini-book.

Cultural Evolution Evolution Psychology

TC paper - Evolutionary psychology and conceptual integration

Evolutionary psychology and conceptual integration

T&C suggest the desirability of 'conceptual integration' - "the principle that the various disciplines within the behavioral and social sciences should make themselves mutually consistent, and consistent with what is known in the natural sciences as well". They observe that while such integration has flourished between physics, chemistry and biology, for example, there has been little integration between the natural sciences on the one hand and the social sciences on the other.

They suggest that the science of evolutionary psychology can provide a bridge. The information-processing mechanisms of the mind are created by biology, and play a large role in our social behaviour and culture. Evolutionary psychology makes explicit the part of the causal stream as a whole that connects the natural sciences to the social sciences.

Computing Evolution Psychology

Why our genes do not doom us

In the world at large (and even, it would appear, sometimes within the biological sciences) there can be a certain amount of trepidation surrounding the idea of a 'genetic tendency'. For example, if we posit a 'genetic tendency' towards aggression in human males, it seems as if we are saying something terrible. It seems even worse to posit a gene or genes 'for' aggression, even though, as Dawkins explains in The Extended Phenotype, this is exactly the same thing. A genetic basis for, a gene for, a genetic tendency towards, genetically influenced - however we phrase it, we are saying the same thing - that genes in some way contribute in the causal path.

The bogeyman of genetic tendency is at root a fear that if we have a 'gene for' X, that means that we will ineluctably do X. It can also go under the name of 'genetic determinism'. It is the idea that genes in some way control us, despite what we would like, and we (or other people) are doomed to carry out certain actions contrary to our best interests or contrary to morality or contrary to some other important social goal depending on what 'X' is.

The fear has a certain superficial credibility. After all, we all have 'genes for' hands, and we all (or almost all) end up with hands. Similarly for feet, hearts, livers, eyes, stomachs and so on. If men have a 'gene for' aggression, then surely all men end up violent?

This tempting line of reasoning contains a critical flaw. While genes for hands build hands, genes for aggression do not build violence, whatever that could mean, rather they build an aggression mechanism. Any time we have genes 'for' a behaviour, that necessarily means that the genes build a mechanism for producing that behaviour. Possessing a mechanism for a behaviour does not tell us much about how much if at all we should expect to see that behaviour. Let's consider why.

Let's suppose that we have a subroutine for punching people. I'm going to go ahead and write some pseudo-code:

function punch(thePersonToPunch){

Wow! How deterministic! If you call function 'punch' with an input of who to punch, it just punches them!

But while a mechanism for aggression must call something like the 'punch' function, that can't be the whole of the aggression mechanism. There's nothing in this code to say when it runs. It surely can't run constantly, or the poor human would just spend all its time and energy punching people and we know that doesn't happen. So the mechanism might look a bit more like this:

function aggressionMechanism(context){
if (context.containsThreat()){

This makes a bit more sense. We can run the aggressionMechanism constantly, and it will only output a punch if it detects that its environment contains a threat. We can say that the aggression mechanism outputs violence conditionally, in other words only under certain conditions.

Of course we can make the mechanism a bit more sensitive:

function aggressionMechanism(context){
    threatLevel = context.getThreatLevel();
    if (threatLevel < 10){
    else if (threatLevel < 20){
    else if (threatLevel < 30){
    else {

Now our mechanism is somewhat sensitive to the level of the threat. If it's only a mild threat, it ignores it. Slightly bigger threats gain a hard stare or a puffing of the chest. Finally, it is only very large threats that get a punch.

Hopefully we're already starting to feel somewhat safer. An 'aggression mechanism' does not need to mean constant mayhem and indeed no gene that generated constant mayhem would be likely to make it into the next generation.

But a 'gene for' a mechanism does not necessarily mean that the code of the mechanism is completely determined by the genes. We can imagine an aggression mechanism that is sensitive to the way that other people have historically treated the person who possesses the mechanism. Let's say that after a year of being treated nicely, the owner of the above mechanism now has a mechanism that looks like:

function aggressionMechanism(context){
    threatLevel = context.getThreatLevel();
    if (threatLevel < 20){ // Was 10 before
    else if (threatLevel < 40){ // Was 20 before
    else if (threatLevel < 60){ // Was 30 before
    else {

For this hypothetical example, the structure of the mechanism has stayed the same, but the thresholds have changed. It takes a lot more for this individual to get riled up now. There's no reason a neural mechanism should not change like this. Just because something is a 'mechanism' does not mean it is completely unchangeable. Much encoding of mechanisms in the brain is done with synapse strengths and those are highly flexible.

So a 'genetically determined' aggression mechanism can nevertheless be highly conditional, firing rarely if at all, and it can be highly sensitive to environmental input, meaning that it can be configured by external input.

But we can go further. When you're considering a complex system (like a human brain), it's always a mistake to consider one component in isolation. It's important to consider the interactions between all components if we're going to understand the behaviour of the whole.

Let's make a crude model of human behavioural output. At any given moment we can decide to do any of a great number of behaviours - singing, dancing, talking, walking, running, jumping and so on. We can imagine some kind of central authority that decides which of the many possible available actions to execute. We could suppose something like:

function centralExecutive(){
    options = new List;
    /* And our aggression mechanism */

    actionToExecute = getHighestScoring(options);

In this toy central executive, lots of different mechanisms are polled, each one 'recommending' an action. I imagine you've experienced something similar. In the mid-afternoon, you might ask yourself, "What do I feel like doing this evening?", and you might be aware of several different options, that we can suppose come from different parts of your brain. One part says "I quite fancy some Indian food." Another part says "I should really go to the gym". Another part says "I'm tired, I just want to go home." Maybe another part says, "I'd like to meet up with some friends."

We can suppose that we have something roughly like the central executive function running all day every day. At every moment, our brain is trying to figure out what is the best thing to be doing right now, and then executing its choice.

We can also suppose that the different parts of the brain must make their recommendations in some kind of common currency, otherwise how is the executive to choose between them? We experience this subjectively as how much we 'feel like' or 'want to' do something. Generally the thing we 'want to do' the most wins. But these feelings of wanting must somehow be in the same currency or we could not compare them.

So let's suppose that there is a threat in the environment. It's a threat at level 70, so even our most recent, milder aggression mechanism is triggered. But to incorporate this new element of the central executive, we need to change our aggression mechanism slightly.

function aggressionMechanism(context){
    threatLevel = context.getThreatLevel();
    if (threatLevel < 20){
    else if (threatLevel < 40){
    else if (threatLevel < 60){
    else {

The difference to the previous mechanism is that now, the mechanism only recommends courses of action to the central executive, rather than taking those actions itself.

So even though the threat level is now at 70, the aggression mechanism just says to the central mechanism "Hey, I'm strongly recommending that we punch this threat."

But crucially, the central executive has a chance to evaluate this course of action before executing it. Perhaps it runs it by the 'future simulator' function, asking it "Hey future simulator, what would happen if I punch the threat?" The future simulator might calculate the likely results and say, "Well, I think you would damage the threat but it's likely you'd end up in jail and that would be very bad."

So the central executive weighs up the pros and cons and decides against the violence, despite the aggression mechanism strongly recommending it.

Hopefully now we're feeling a lot safer.

The fact is that we can have a 'gene for' a behaviour, and that gene can 100% reliably (or close to it) build a mechanism for producing that behaviour, just as genes build hands, and yet that behaviour only be produced under very rare or specific circumstances if at all.

The existence of a mechanism does not mean it's going to produce the product it was designed to produce. I've lived in my flat for 5 years and I've never once used the central heating mechanism.

Of course we know that people aren't aggressive all the time or even most of the time, and we know that it only happens under tightly circumscribed circumstances. The point of this article is to illustrate how this is perfectly compatible with a genetic tendency towards or even genes for (it's the same thing!) aggression. The same goes for genes for any other behaviour we may care to consider.

Evolution Psychology

TC paper - On the universality of human nature and the uniqueness of the individual: The role of genetics and adaptation.

On the universality of human nature and the uniqueness of the individual: The role of genetics and adaptation.

All Tooby and Cosmides publications

T&C make the case that there is likely to be a universal human nature, with "a species-typical collection of complex psychological adaptations," despite the considerable genetic variation in the human population.

Their reasoning is that any complex adaptation requires many genes, and genes get shuffled so thoroughly in a population that there is no way a complex adaptation could reliably appear, unless the different alleles produce only superficial differences between people, and the broad functions built by the genes are universal.

Computing Consciousness Evolution Psychology

Is the human brain a computer?

Sometimes people object when I describe the human brain as a computer. The most common objections are things like:

  • Computers are made by humans whereas brains are biological
  • Computers are made out of silicon and our brains are made of cells
  • Computers have addressable memory whereas our brains have neural networks
  • Computers don't have emotions whereas we do
  • Computers are mechanical whereas we have flexibility and free will

Some of the disagreement is simply arguing over definitions. If someone is using the word 'computer' to refer solely to devices made out of silicon designed by humans then of course they're not going to agree that human brains are computers. So let me short circuit some of the disagreement by making the following stipulative definition of 'computer':

A computer is a device that transforms input into useful output.

If we substitute in my definition, we can rephrase the question in the title of this post as "Is the human brain a device that transforms input into useful output?"

Using this definition, there doesn't seem to be much room for disagreement. The human brain takes input from the senses, and from internally stored information (for example memories), and transforms that input into useful behaviours.

If it really is fair to see the human brain as a computer, that suggests that we should be able to use much of the content of computer science to characterise and analyse the workings of the brain. We might expect to find some or all of the following concepts usefully applicable:

  • Variables
  • Subroutines
  • Data encoding
  • Memory storage and retrieval
  • Lookup tables
  • Ranking and sorting (eg in action prioritization subroutines)
  • Daemon processes (processes with their own largely separate cause and effect chains)
  • Concurrency
  • Testing
  • Bugs and debugging
  • Caching
  • Mechanisms optimised for speed or low resource usage or for accuracy
  • Subsystems

and many others.

Computing Consciousness Evolution Psychology

List of Axioms

When discussing a topic as broad as human behaviour, it helps to make any philosophical/scientific assumptions explicit so that any reader can see if he or she has some fundamental difference of position to that of the author. I therefore give the following list of assumptions as axioms, which I take for granted elsewhere on the site (justifications/discussions are in the links [coming soon]):

  1. The universe is deterministic. If precisely the same starting conditions are set up twice, precisely the same result will occur each time. Every process can therefore be described as mechanical, including consciousness.
  2. Natural selection is the only known process in the universe capable of building complex adaptations.
  3. "The ultimate goal that the mind was designed to attain is maximizing the number of copies of the genes that created it." (Steven Pinker)
  4. It's legitimate to hypothesize about function in plain language or any computer language, even though functions are actually implemented in neurons, synapses etc in the brain. Functional hypotheses are at a layer of abstraction above implementation and can therefore be implementation-agnostic.
Computing Consciousness Evolution Psychology

Relevant Quotations

"We are survival machines — robot vehicles blindly programmed to preserve the selfish molecules known as genes." - Richard Dawkins - The Selfish Gene

"I am not apologizing for using the language of robotics. I would use it again without hesitation." - Richard Dawkins - The Extended Phenotype

"The ultimate goal that the mind was designed to attain is maximizing the number of copies of the genes that created it." - Steven Pinker - How The Mind Works

"Talk is cheap. Show me the code." - Linus Torvalds, creator of Linux operating system

"Those who study species from an adaptationist perspective adopt the stance of an engineer. In discussing sonar in bats, e.g., Dawkins proceeds as follows: "...I shall begin by posing a problem that the living machine faces, then I shall consider possible solutions to the problem that a sensible engineer might consider; I shall finally come to the solution that nature has actually adopted" (1986, pp. 21-22). Engineers figure out what problems they want to solve, and then design machines that are capable of solving these problems in an efficient manner. Evolutionary biologists figure out what adaptive problems a given species encountered during its evolutionary history, and then ask themselves, "What would a machine capable of solving these problems well under ancestral conditions look like?" Against this background, they empirically explore the design features of the evolved machines that, taken together, comprise an organism. Definitions of adaptive problems do not, of course, uniquely specify the design of the mechanisms that solve them. Because there are often multiple ways of achieving any solution, empirical studies are needed to decide "which nature has actually adopted". But the more precisely one can define an adaptive information-processing problem -- the "goal" of processing -- the more clearly one can see what a mechanism capable of producing that solution would have to look like. This research strategy has dominated the study of vision, for example, so that it is now commonplace to think of the visual system as a collection of functionally integrated computational devices, each specialized for solving a different problem in scene analysis -- judging depth, detecting motion, analyzing shape from shading, and so on." - Leda Cosmides & John Tooby - Evolutionary Psychology: A Primer

"In the distant future I see open fields for far more important researches. Psychology will be based on a new foundation, that of the necessary acquirement of each mental power and capacity by gradation. Light will be thrown on the origin of man and his history." - Charles Darwin - On the Origin of Species

"The human mind consists of a set of evolved information-processing mechanisms … produced by natural selection over evolutionary time." John Tooby and Leda Cosmides in The Adapted Mind

"Information and computation reside in patterns of data and in relations of logic that are independent of the physical medium that carries them." Steven Pinker - How The Mind Works

"The brain’s special status comes from a special thing the brain does, which makes us see, think, feel, choose, and act. That special thing is information processing, or computation." Steven Pinker - How The Mind Works

"I have a friend who's an artist, and he sometimes takes a view which I don't agree with. He'll hold up a flower and say, "Look how beautiful it is," and I'll agree. But then he'll say, "I, as an artist, can see how beautiful a flower is. But you, as a scientist, take it all apart and it becomes dull." I think he's kind of nutty. ... There are all kinds of interesting questions that come from a knowledge of science, which only adds to the excitement and mystery and awe of a flower. It only adds. I don't understand how it subtracts." - Richard Feynman

"You are a computer, built by selection, and melted or disordered by entropy." John Tooby

Consciousness Evolution Psychology

Relevant Books/Papers/Videos etc

About Evolution

Richard Dawkins - The Blind Watchmaker

Richard Dawkins - The Selfish Gene

Richard Dawkins - The Extended Phenotype (especially first three chapters)

About Psychology

Robert Kurzban - Why Everyone (Else) Is a Hypocrite: Evolution and the Modular Mind

Joseph Henrich - The Secret of Our Success: How Culture is Driving Human Evolution, Domesticating Our Species, and Making Us Smarter

Steven Pinker - The Blank Slate

Steven Pinker - How The Mind Works

John Tooby/Leda Cosmides - All academic papers free

About Consciousness

David J. Chalmers - The Character of Consciousness

Annaka Harris - Conscious: A Brief Guide to the Fundamental Mystery of the Mind


The History of Evolutionary Science

Before 1600

c. 520 BC – Alcmaeon of Croton distinguished veins from arteries and discovered the optic nerve.

c. 450 BC – Sushruta wrote the Sushruta Samhita, redacted versions of which, by the third century AD, describe over 120 surgical instruments and 300 surgical procedures, classify human surgery into eight categories, and introduce cosmetic surgery.

c. 450 BC – Xenophanes examined fossils and speculated on the evolution of life.

c. 380 BC – Diocles wrote the oldest known anatomy book and was the first to use the term anatomy.

c. 350 BC – Aristotle attempted a comprehensive classification of animals. His written works include Historion Animalium, a general biology of animals, De Partibus Animalium, a comparative anatomy and physiology of animals, and De Generatione Animalium, on developmental biology.

c. 300 BC – Theophrastos (or Theophrastus) began the systematic study of botany.

c. 300 BC – Herophilos dissected the human body.

c. 50–70 AD – Historia Naturalis by Pliny the Elder (Gaius Plinius Secundus) was published in 37 volumes.

130–200 – Claudius Galen wrote numerous treatises on human anatomy.

c. 1010 – Avicenna (Abu Ali al Hussein ibn Abdallah ibn Sina) published The Canon of Medicine.

1543 – Andreas Vesalius publishes the anatomy treatise De humani corporis fabrica.


?? – Jan Baptist van Helmont performed his famous tree plant experiment in which he shows that the substance of a plant derives from water, a forerunner of the discovery of photosynthesis.

1628 – William Harvey published An Anatomical Exercise on the Motion of the Heart and Blood in Animals

1651 – William Harvey concluded that all animals, including mammals, develop from eggs, and spontaneous generation of any animal from mud or excrement was an impossibility.

1665 – Robert Hooke saw cells in cork using a microscope.

In 1661, 1664 and 1665, the blood cells were discerned by Marcello Malpighi. In 1678, the red blood corpuscles was described by Jan Swammerdam of Amsterdam, a Dutch naturalist and physician. The first complete account of the red cells was made by Anthony van Leeuwenhoek of Delft in the last quarter of the 17th century.

1668 – Francesco Redi disproved spontaneous generation by showing that fly maggots only appear on pieces of meat in jars if the jars are open to the air. Jars covered with cheesecloth contained no flies.

1672 – Marcello Malpighi published the first description of chick development, including the formation of muscle somites, circulation, and nervous system.

1676 – Anton van Leeuwenhoek observed protozoa and calls them animalcules.

1677 – Anton van Leeuwenhoek observed spermatozoa.

1683 – Anton van Leeuwenhoek observed bacteria. Leeuwenhoek's discoveries renew the question of spontaneous generation in microorganisms.


1767 – Kaspar Friedrich Wolff argued that the tissues of a developing chick form from nothing and are not simply elaborations of already-present structures in the egg.

1768 – Lazzaro Spallanzani again disproved spontaneous generation by showing that no organisms grow in a rich broth if it is first heated (to kill any organisms) and allowed to cool in a stoppered flask. He also showed that fertilization in mammals requires an egg and semen.

1771 – Joseph Priestley demonstrated that plants produce a gas that animals and flames consume. This gas was oxygen.

1798 – Thomas Malthus discussed human population growth and food production in An Essay on the Principle of Population.


1801 – Jean-Baptiste Lamarck began the detailed study of invertebrate taxonomy.

1802 – The term biology in its modern sense was propounded independently by Gottfried Reinhold Treviranus (Biologie oder Philosophie der lebenden Natur) and Lamarck (Hydrogéologie). The word was coined in 1800 by Karl Friedrich Burdach.

1809 – Lamarck proposed a modern theory of evolution based on the inheritance of acquired characteristics.

1817 – Pierre-Joseph Pelletier and Joseph Bienaimé Caventou isolated chlorophyll.

1820 – Christian Friedrich Nasse formulated Nasse's law: hemophilia occurs only in males and is passed on by unaffected females.

1824 – J. L. Prevost and J. B. Dumas showed that the sperm in semen were not parasites, as previously thought, but, instead, the agents of fertilization.

1826 – Karl von Baer showed that the eggs of mammals are in the ovaries, ending a 200-year search for the mammalian egg.

1828 – Friedrich Woehler synthesized urea; first synthesis of an organic compound from inorganic starting materials.

1836 – Theodor Schwann discovered pepsin in extracts from the stomach lining; first isolation of an animal enzyme.

1837 – Theodor Schwann showed that heating air will prevent it from causing putrefaction.

1838 – Matthias Schleiden proposed that all plants are composed of cells.

1839 – Theodor Schwann proposed that all animal tissues are composed of cells. Schwann and Schleinden argued that cells are the elementary particles of life.

1843 – Martin Barry reported the fusion of a sperm and an egg for rabbits in a 1-page paper in the Philosophical Transactions of the Royal Society of London.

1856 – Louis Pasteur stated that microorganisms produce fermentation.

1858 – Charles R. Darwin and Alfred Wallace independently proposed a theory of biological evolution ("descent through modification") by means of natural selection. Only in later editions of his works did Darwin used the term "evolution."

1858 – Rudolf Virchow proposed that cells can only arise from pre-existing cells; "Omnis cellula e celulla," all cell from cells. The Cell Theory states that all organisms are composed of cells (Schleiden and Schwann), and cells can only come from other cells (Virchow).

1864 – Louis Pasteur disproved the spontaneous generation of cellular life.

1865 – Gregor Mendel demonstrated in pea plants that inheritance follows definite rules. The Principle of Segregation states that each organism has two genes per trait, which segregate when the organism makes eggs or sperm. The Principle of Independent Assortment states that each gene in a pair is distributed independently during the formation of eggs or sperm. Mendel's trailblazing foundation for the science of genetics went unnoticed, to his lasting disappointment.

1865 – Friedrich August Kekulé von Stradonitz realized that benzene is composed of carbon and hydrogen atoms in a hexagonal ring.

1869 – Friedrich Miescher discovered nucleic acids in the nuclei of cells.

1874 – Jacobus van 't Hoff and Joseph-Achille Le Bel advanced a three-dimensional stereochemical representation of organic molecules and propose a tetrahedral carbon atom.

1876 – Oskar Hertwig and Hermann Fol independently described (in sea urchin eggs) the entry of sperm into the egg and the subsequent fusion of the egg and sperm nuclei to form a single new nucleus.

1884 – Emil Fischer began his detailed analysis of the compositions and structures of sugars.

1892 – Hans Driesch separated the individual cells of a 2-cell sea urchin embryo and shows that each cell develops into a complete individual, thus disproving the theory of preformation and showing that each cell is "totipotent," containing all the hereditary information necessary to form an individual.

1898 – Martinus Beijerinck used filtering experiments to show that tobacco mosaic disease is caused by something smaller than a bacterium, which he names a virus.


1900 – Hugo de Vries, Carl Correns and Erich von Tschermak independently rediscovered Mendel's paper on heredity.

1902 – Walter Sutton and Theodor Boveri, independently proposed that the chromosomes carry the hereditary information.

1905 – William Bateson coined the term "genetics" to describe the study of biological inheritance.

1906 – Mikhail Tsvet discovered the chromatography technique for organic compound separation.

1907 – Ivan Pavlov demonstrated conditioned responses with salivating dogs.

1907 – Hermann Emil Fischer artificially synthesized peptide amino acid chains and thereby shows that amino acids in proteins are connected by amino group-acid group bonds.

1909 – Wilhelm Johannsen coined the word "gene."

1911 – Thomas Hunt Morgan proposed that genes are arranged in a line on the chromosomes.

1922 – Aleksandr Oparin proposed that the Earth's early atmosphere contained methane, ammonia, hydrogen, and water vapor, and that these were the raw materials for the origin of life.

1926 – James B. Sumner showed that the urease enzyme is a protein.

1928 – Otto Diels and Kurt Alder discovered the Diels-Alder cycloaddition reaction for forming ring molecules.

1928 – Alexander Fleming discovered the first antibiotic, penicillin

1929 – Phoebus Levene discovered the sugar deoxyribose in nucleic acids.

1929 – Edward Doisy and Adolf Butenandt independently discovered estrone.

1930 – John Howard Northrop showed that the pepsin enzyme is a protein.

1931 – Adolf Butenandt discovered androsterone.

1932 – Hans Adolf Krebs discovered the urea cycle.

1933 – Tadeus Reichstein artificially synthesized vitamin C; first vitamin synthesis.

1935 – Rudolf Schoenheimer used deuterium as a tracer to examine the fat storage system of rats.

1935 – Wendell Stanley crystallized the tobacco mosaic virus.

1935 – Konrad Lorenz described the imprinting behavior of young birds.

1937 – Dorothy Crowfoot Hodgkin discovered the three-dimensional structure of cholesterol.

1937 – Hans Adolf Krebs discovered the tricarboxylic acid cycle.

1937 – In Genetics and the Origin of Species, Theodosius Dobzhansky applies the chromosome theory and population genetics to natural populations in the first mature work of neo-Darwinism, also called the modern synthesis, a term coined by Julian Huxley.

1938 – Marjorie Courtenay-Latimer discovered a living coelacanth off the coast of southern Africa.

1940 – Donald Griffin and Robert Galambos announced their discovery of echolocation by bats.

1942 – Max Delbrück and Salvador Luria demonstrated that bacterial resistance to virus infection is caused by random mutation and not adaptive change.

1944 – Oswald Avery shows that DNA carried the hereditary information in pneumococcus bacteria.

1944 – Robert Burns Woodward and William von Eggers Doering synthesized quinine.

1945 – Dorothy Crowfoot Hodgkin discovered the three-dimensional structure of penicillin.

1948 – Erwin Chargaff showed that in DNA the number of guanine units equals the number of cytosine units and the number of adenine units equals the number of thymine units.


1951 – The research group of Robert Robinson with John Cornforth (Oxford University) publishes their synthesis of cholesterol, while Robert Woodward (Harvard University) publishes his synthesis of cortisone.

1951 – Fred Sanger, Hans Tuppy, and Ted Thompson completed their chromatographic analysis of the insulin amino acid sequence.

1952 – American developmental biologists Robert Briggs and Thomas King cloned the first vertebrate by transplanting nuclei from leopard frogs embryos into enucleated eggs. More differentiated cells were the less able they are to direct development in the enucleated egg.

1952 – Alfred Hershey and Martha Chase showed that DNA is the genetic material in bacteriophage viruses.

1952 – Rosalind Franklin concluded that DNA is a double helix with a diameter of 2 nm and the sugar-phosphate backbones on the outside of the helix, based on x ray diffraction studies. She suspected the two sugar-phosphate backbones have a peculiar relationship to each other.

1953 – After examining Franklin's unpublished data, James D. Watson and Francis Crick published a double-helix structure for DNA, with one sugar-phosphate backbone running in the opposite direction to the other. They further suggested a mechanism by which the molecule can replicate itself and serve to transmit genetic information. Their paper, combined with the Hershey-Chase experiment and Chargaff's data on nucleotides, finally persuaded biologists that DNA is the genetic material, not protein.

1953 – Stanley Miller showed that amino acids can be formed when simulated lightning is passed through vessels containing water, methane, ammonia, and hydrogen

1954 – Dorothy Crowfoot Hodgkin discovered the three-dimensional structure of vitamin B12.

1955 – Marianne Grunberg-Manago and Severo Ochoa discovered the first nucleic-acid-synthesizing enzyme (polynucleotide phosphorylase), which links nucleotides together into polynucleotides.

1955 – Arthur Kornberg discovered DNA polymerase enzymes.

1958 – John Gurdon used nuclear transplantation to clone an African Clawed Frog; first cloning of a vertebrate using a nucleus from a fully differentiated adult cell.

1958 – Matthew Stanley Meselson and Franklin W. Stahl proved that DNA replication is semiconservative in the Meselson-Stahl experiment

1959 – Max Perutz comes up with a model for the structure of oxygenated hemoglobin.

1959 – Severo Ochoa and Arthur Kornberg received the Nobel Prize for their work.

1960 – John Kendrew described the structure of myoglobin, the oxygen-carrying protein in muscle.

1960 – Four separate researchers (S. Weiss, J. Hurwitz, Audrey Stevens and J. Bonner) discovered bacterial RNA polymerase, which polymerizes nucleotides under the direction of DNA.

1960 – Robert Woodward synthesized chlorophyll.

1961 – J. Heinrich Matthaei cracked the first codon of the genetic code (the codon for the amino acid phenylalanine) using Grunberg-Manago's 1955 enzyme system for making polynucleotides.

1961 – Joan Oró found that concentrated solutions of ammonium cyanide in water can produce the nucleotide adenine, a discovery that opened the way for theories on the origin of life.

1962 – Max Perutz and John Kendrew shared the Nobel prize for their work on the structure of hemoglobin and myoglobin.

1966 – Genetic code fully cracked through trial-and-error experimental work.[1]

1966 – Kimishige Ishizaka discovered a new type of immunoglobulin, IgE, that develops allergy and explains the mechanisms of allergy at molecular and cellular levels.

1966 – Lynn Margulis proposed the endosymbiotic theory, that the eukaryotic cell is a symbiotic union of primitive prokaryotic cells. Richard Dawkins called the theory "one of the great achievements of twentieth-century evolutionary biology."

1968 – Fred Sanger used radioactive phosphorus as a tracer to chromatographically decipher a 120 base long RNA sequence.

1969 – Dorothy Crowfoot Hodgkin deciphered the three-dimensional structure of insulin.

1970 – Hamilton Smith and Daniel Nathans discovered DNA restriction enzymes.

1970 – Howard Temin and David Baltimore independently discovered reverse transcriptase enzymes.

1972 – Albert Eschenmoser and Robert Woodward synthesized vitamin B12.

1972 – Stephen Jay Gould and Niles Eldredge proposed an idea they call "punctuated equilibrium", which states that the fossil record is an accurate depiction of the pace of evolution, with long periods of "stasis" (little change) punctuated by brief periods of rapid change and species formation (within a lineage).

1972 – Seymour Jonathan Singer and Garth L. Nicholson developed the fluid mosaic model, which deals with the make-up of the membrane of all cells.

1974 – Manfred Eigen and Manfred Sumper showed that mixtures of nucleotide monomers and RNA replicase will give rise to RNA molecules which replicate, mutate, and evolve.

1974 – Leslie Orgel showed that RNA can replicate without RNA-replicase and that zinc aids this replication.

1977 – John Corliss and ten coauthors discovered chemosynthetically based animal communities located around submarine hydrothermal vents on the Galapagos Rift.

1977 – Walter Gilbert and Allan Maxam present a rapid DNA sequencing technique which uses cloning, base destroying chemicals, and gel electrophoresis.

1977 – Frederick Sanger and Alan Coulson presented a rapid gene sequencing technique which uses dideoxynucleotides and gel electrophoresis.

1978 – Frederick Sanger presented the 5,386 base sequence for the virus PhiX174; first sequencing of an entire genome.

1982 – Stanley B. Prusiner proposed the existence of infectious proteins, or prions. His idea is widely derided in the scientific community, but he wins a Nobel Prize in 1997.

1983 – Kary Mullis invented "PCR" ( polymerase chain reaction), an automated method for rapidly copying sequences of DNA.

1984 – Alec Jeffreys devised a genetic fingerprinting method.

1985 – Harry Kroto, J.R. Heath, S.C. O'Brien, R.F. Curl, and Richard Smalley discovered the unusual stability of the buckminsterfullerene molecule and deduce its structure.

1986 – Alexander Klibanov demonstrated that enzymes can function in non-aqueous environments.

1986 – Rita Levi-Montalcini and Stanley Cohen received the Nobel Prize in Physiology or Medicine for their discovery of Nerve growth factor (NGF).


1990 – French Anderson et al. performed the first approved gene therapy on a human patient

1990 – Napoli, Lemieux and Jorgensen discovered RNA interference (1990) during experiments aimed at the color of petunias.

1990 – Wolfgang Krätschmer, Lowell Lamb, Konstantinos Fostiropoulos, and Donald Huffman discovered that Buckminsterfullerene can be separated from soot because it is soluble in benzene.

1995 – Publication of the first complete genome of a free-living organism.

1996 – Dolly the sheep was first clone of an adult mammal.

1998 – Mello and Fire publish their work on RNAi in c.elegans, for which they shared the 2006 Nobel Prize in Physiology or Medicine.

1999 – Researchers at the Institute for Human Gene Therapy at the University of Pennsylvania accidentally kill Jesse Gelsinger during a clinical trial of a gene therapy technique, leading the FDA to halt further gene therapy trials at the institute.

2001 – Publication of the first drafts of the complete human genome (see Craig Venter).

2002 – First virus produced 'from scratch', an artificial polio virus that paralyzes and kills mice.

2007 – Commercialization of Illumina Next generation Sequencing tools. This has become the most popular high-throughput sequencing system.

2012 – Use of CRISPR-Cas9 as a DNA-editing biotechnology tool.

This article uses material from the Wikipedia article Timeline of biology and organic chemistry, which is released under the Creative Commons Attribution-Share-Alike License 3.0