Adam, Eve, and Human Population Genetics


Back in 2011, Christianity Today ran a cover article on what was fast becoming a hot-button issue for Evangelicals – the genomic science that indicates humans descend from a large population, rather than from a single couple in the relatively recent past. Since 2011 Evangelicals have become increasingly aware that modern genetic studies of humans support this conclusion; however, there remains a great deal of confusion about exactly how this genetic evidence works, and, not surprisingly, suspicion about its accuracy. In this article, we will explore several lines of genetic evidence that shed light on our species’ past in an attempt to rectify these misunderstandings.


#Defining the Issues

Part of the challenge this subject generates for Evangelicals is due to confusion over exactly what the science can and cannot say about human origins in general, or the historicity of Adam and Eve in particular. Briefly stated, genetics is well suited to addressing scientific questions such as whether humans share ancestry with other forms of life, and what our population structure looked like as we separated from our evolutionary relatives. And what we see in the genetics of our species is unremarkable for a relatively large-bodied mammal – we do indeed share common ancestry with other species, and we descend from a population that numbered in the thousands as far back as we can see. Scientifically speaking, these issues are straightforward and uncontroversial.

In addition to these scientific questions, however, Evangelicals are also strongly interested in the question of Adam and Eve’s historicity: were they a literal couple that lived about 6,000 – 10,000 years ago? Unfortunately, genomic science is not at all equipped to address this question – it simply does not have the ability to establish (or rule out, for that matter) the historicity of any particular individual in the ancient past.

For many Evangelicals (or for that matter atheists), the idea that we are the products of evolution and became human as a large population over time is on its face contradictory to the idea that Adam and Eve may have been historical individuals. The reason, of course, is not a scientific one, but rather an interpretation that the Genesis narratives preclude understanding Adam and Eve as anything other than the first humans, directly created by God without shared ancestry, who are the sole genetic progenitors of the entire human race. This is, of course, a very common evangelical interpretation of Genesis, but it is not the only one – several other options are available that attempt to respect both Scripture and science. After all, Genesis has long been noted to imply that Adam and Eve’s family is part of a larger unrelated population (for example Cain worries about being killed for his sin, leaves to build a city elsewhere, and takes a wife in the process). The fact that Genesis presents these facets of the story without comment or clarification also shows us that the narrative is concerned with more than telling the story of our genetic origins.

So, the decision to equate the historicity of Adam and Eve with the expectation that humans descend uniquely from an ancestral couple is a hermeneutical one, not a scientific one. As such, the historicity question needs to be addressed hermeneutically, not scientifically – it simply lies outside the purview of what genetics can tell us.

Evolution as a population-level phenomenon

Aside from the hermeneutical issues surrounding human evolution and population genetics (which are confusing enough for many of us), there are the scientific issues – which, for many Evangelicals, are similarly fraught with misunderstanding. One of the main misconceptions is failing to understand that evolution is a population-level phenomenon: species typically form slowly, as populations, due to the accumulation of numerous slight genetic differences that shift the average characteristics of a population over time. All that is required to start this process is to have some sort of genetic barrier between two populations – perhaps a geographic barrier to start. Once two populations of the same species are reproductively isolated, genetic changes in the one population are not shared with the other – and vice versa. Over many, many generations enough changes may accumulate in the two populations that their average characteristics are different enough such that they would no longer recognize each other as members of the same species. At this point, even if the two populations were brought into contact again, these differences (perhaps behavioral or physical) would keep the genetic barrier in place by reducing or preventing interbreeding, and thus prevent the two groups from collapsing back into one large population.

If, on the other hand, one is used to thinking that species form when they are founded by a pair that has undergone a marked genetic change compared to their source population, one is more likely to think that it would have been possible for humans to get their start in such fashion. These sorts of misunderstandings are common, and Evangelicals are not immune to them. For example, even among Christians who accept that we share ancestry with other life, people frequently ask what was “the mutation” that “made us human”? Sometimes, people wonder how such a dramatic mutation could have occurred in two individuals at the same time to provide a male and female member of the same (brand new!) species – and speculate that God must have directed it to occur to form Adam and Eve. Their understanding of human speciation is that it was sudden, involved only one couple, and required dramatic genetic change. In reality, speciation is almost always precisely the opposite: it’s slow, takes place in a population, and requires the accumulation of many discrete genetic differences, none of which are particularly dramatic. Next, we’ll begin to explore how a population can accumulate genetic changes, and perhaps shift its average characteristics over time – beginning with how genetic diversity arises in the first place.

#A Primer on Population Genetics

Evolution as gradual change at the population level

One of the most common misunderstandings about evolution is failing to appreciate that evolution happens to populations, not individuals. But, you might interject, populations are made up of individuals – so how does that work? The answer is that yes, genetic variation enters a population through mutations in individuals – but that only when such variation accumulates within a population and shifts its average characteristics do we observe its effects.

Perhaps an analogy will help here, that of language change over time. Languages are like populations – they have a large number of individuals who speak it. While each individual has their own particular quirks (favorite phrases, word preferences, and perhaps even chronic spelling mistakes) any one person cannot, on the whole, cause significant change to their language within their lifetimes. Additionally, any person who does change radically from their language group will effectively be placing themselves outside it – if their changes are large enough to hinder their intelligibility to others. So, language evolution is not an individual affair. Yet languages do change over time, and individuals do contribute to that change. Someone might invent a new word that catches on, for example. Others might be part of the “catching on” – hearing a new word, or new phrase, and repeating it to others. Over time (perhaps generations) a language will slowly adopt new words, new spellings, and new rules of grammar (such as split infinitives in English – to boldly split what no man has split before). Yet, such adoptions are gradual. They enter the language as rarities, slowly become more common, and eventually become the “normal” way of doing things (much to the chagrin of English teachers). Thankfully, such changes typically take longer than one generation, sparing those of us who cringe at the novelties of our day.

Just as a language has many speakers, a species has many members. They must be genetically compatible – i.e. speak the same language – but they are not all genetically identical – they have their own particular variation within an acceptable range to be in the group. In other words, though populations are a unit (they interbreed) they have genetic variation.

In the terminology of genetics we can understand this in terms of genes and alleles. While all members of the population have the same genes, they do not all have exactly the same version of any given gene. Different versions of a gene are called alleles, and they arise through mutations – that is, copying errors when chromosomes are replicated. For humans, we may have up to two different alleles for any gene – the allele we inherit from our mother, and the allele we inherit from our father. If we have two different alleles, we are said to be heterozygous for that particular gene. If we have two identical alleles for a gene, we are homozygous for that gene. While any individual can have up to only two alleles, populations as a whole can have hundreds or even thousands of alleles.

In any given generation, the vast majority of the alleles present in a population were inherited from the previous generation – just like a language group learning from their parents, and picking up the language as a whole. Each generation also can contribute its own novelty to the population in the form of new alleles arising through mutation – just like teenagers coming up with new words or phrases. These new alleles are rare of course – they are only held by one individual at the beginning. Over many, many generations, however, such new alleles can become more common within a population if they are passed down, progressively, to more and more offspring. In time, the new allele might become the most common one within a population. Many generations later, it might be the only allele present for that gene in the entire population. Combined with the actions of other new alleles of many other genes, over time the average characteristics of the population can change. While it’s challenging to imagine this for genes and alleles, it’s simple to illustrate with language – for example, the change we see in the linguistic trajectory towards present-day English in a verse from John’s gospel: John 1:29, West Saxon Gospels, c. 990.

Anothir day Joon say Jhesu comynge to hym, and he seide, Lo! the lomb of God; lo! he that doith awei the synnes of the world. (Wycliffe Bible, 1395)

The nexte daye Iohn sawe Iesus commyge vnto him and sayde: beholde the lambe of God which taketh awaye the synne of the worlde. (Tyndale New Testament, 1525)

The next day Iohn seeth Iesus coming vnto him, and saith, Behold the Lambe of God, which taketh away the sinne of the world. (KJV, 1611)

The next day John seeth Jesus coming unto him, and saith, Behold the Lamb of God, which taketh away the sin of the world. (KJV, Cambridge Edition)

The next day John saw Jesus coming toward him and said, “Look, the Lamb of God, who takes away the sin of the world!” (NIV, 2011)

Note well that these “forms”, as we see them here, themselves have many gradations between them, of course. These selections are useful for our illustrative purposes, however. Note that the overall shift to the “modern” text is the cumulative result of many individual changes. To return to our analogy, if every word is a gene, we see shifts in alleles over time as follows:

cwæð → seide → sayde → saith → said
synne → synnes → synne → sinne → sin
to hym cumende → comynge to hym → commyge vnto him → coming vnto him → coming unto him

Though the changes in each word contribute to the overall transformation, each word has only a relatively minor effect on its own. Yet the combined actions of changes in many words, over time, can change West Saxon to modern English. There are not, however, large jumps at any point along the way – each generation of speakers could easily understand their parents and their children – but over time, the shifts are large enough that West Saxon and present-day English are not even close to being the same language.

Next, we’ll consider how changes in alleles can lead to new species – much like change over time can lead to new languages.

#Good Butter and Good Cheese – Language, Populations and Speciation

Previously, we drew an extended analogy between genetic change within a population over time, and change within a language over time. While no analogy is perfect, this one is remarkably good – and it will continue to be useful as we now turn to discussing how new species form.

Flags of Friesland and England

Some languages retain remarkable similarities, more than could be mere coincidence.  The language, West Frisian, comes from Friesland, a province of the Netherlands, and  is one of the most closely-related modern languages to English. A well-known sentence will serve as an illustration: it is pronounced essentially the same in both Frisian and English:

Butter, bread, and green cheese is good English and good Frise.

Bûter, brea, en griene tsiis is goed Ingelsk en goed Frysk.

There is a good reason for these striking similarities – English and West Frisian are modern descendants of an ancient language – they share a common ancestral population of speakers. As we have seen, languages change over time. In the case of English and West Frisian, the original population, which spoke a language ancestral to both modern-day English and modern-day West Frisian, was divided: some remained on the European continent, and others travelled to what is present-day England. Once separated, each sub-group – which at the point of separation spoke the same language – went on to acquire differences over time that were independent of each other. In due time, the changes that accumulated in both groups rendered them mutually unintelligible to each other: they had become separate languages. The precise point at which they became “different languages” of course is impossible to pin down, since there was no such precise point when it occurred. Both groups changed their language over time incrementally, as a process on a gradient.

Species form through a process much like language development. Should two populations of the same species become separated, they too can accumulate genetic changes that shift their average characteristics over time – changes that are not shared and averaged across the two groups due to their genetic isolation. In many cases, geographic isolation acts as the first genetic barrier – much like the ancestors of the English parting ways with their continental cousins. Once separated, should enough genetic changes accrue between the two populations, eventually they will not recognize each other as members of the same species – which would be analogous to my experience as a modern English speaker in present-day Friesland.

Species, like languages “begin” as populations – and “begin” isn’t the right word

Our language analogy also helps to counter some common misconceptions about how species form. People who hear about modern humans descending from a large population wonder how on earth those people suddenly appeared on the scene without ancestors. Of course, they didn’t suddenly appear – they too have a population that gave rise to them, and so on – stretching back to our shared ancestral populations with other apes and beyond. As far as anyone can tell, the genetic data in fact rules out a single couple for at least half a million years. At 500,000 years ago, our ancestors were not even modern Homo sapiens. A straightforward interpretation of the genetics data is that our ancestors were part of a population in the thousands as far back as we can see.

Despite these findings, it is a common misperception to think that species, should one go back far enough, started off with one ancestral breeding pair “becoming different”. Hopefully our language analogy is useful here. It is of course not reasonable to expect that English or West Frisian got its start when two individuals began speaking a new language. The lineage that led to either modern language did so as a population of speakers – and each generation within both lineages was perfectly intelligible to their parents and their offspring. In the same way, species form as populations shift their average characteristics over time – but always remaining the “same species” as their parents and their offspring. So, to speak of a language or a species “beginning” is to hit up against the limits of language. Neither “begins” in some sort of discontinuous sense – they become, over time, in continuity with what came before.

So, one of the reasons for the common expectation that humans had a discontinuous beginning with a single ancestral couple has nothing to do with Genesis or Judeo-Christian theology (many non-theists also have this same expectation). We are used to thinking in discontinuous terms – species should have a defined beginning – and we are used to thinking that species therefore begin with a radical change to a single ancestral pair. For evangelical Christians, these incorrect assumptions about how species get their start fit hand in glove with the common view that since species require a discontinuous start, only God can miraculously provide it through an event of special creation. Once one understands how species form as populations over time, however, one is then prepared to investigate the question of how large our population was as we became human.

The question is not, then “when did our species begin?”, since that question is like asking when “English” began. What genetics can address, however, is how many individuals were in our ancestral population as it separated from other species and became a distinct lineage. There are a number of genetic approaches that allow for such estimates. The most straightforward interpretation of the data is that our ancestral population numbered in the thousands for at least the last 500,000 years. Since the earliest-known anatomically modern humans are present in the fossil record at 200,000 years ago, this minimum population size spans the time during which we biologically “became human” as a population.  For a recent detailed description, see What Genetics Say About Adam and Eve by Steve Schaffner.

Next, we’ll examine a larger data set to see if the hypothesis of shared ancestry remains supported, and begin to explore how shared ancestry can inform us about our population dynamics as we became human.

#Common Ancestry, Nested Hierarchies, and Parsimony

Previously, we introduced the concept of mutations that are shared between species as one line of evidence for common ancestry. In the example we examined, we saw how the deletion of the same DNA letter was present in three primate species: humans, chimpanzees, and orangutans. If indeed these three species share a common ancestral population, then this pattern is easily explained – the mutation occurred in their shared ancestral population, became more common within that population over time, eventually became the only version of that gene in the population, and then was subsequently inherited by the branching populations that went on to become present-day humans, chimpanzees and orangutans. The alternative hypothesis, that humans, chimpanzees, and orangutans do not share a common ancestral population, requires that this precise mutation occurred three times in three separate populations, and replaced the functional version of the gene three times over in those three populations. While such a possibility is rare, for a single gene such a series of improbable events might occur three times independently. In the absence of any other data, a geneticist would rightly hesitate somewhat; though highly suggestive of shared ancestry, such a data set would be too small to draw a firm conclusion.

Of course, in this era of genome sequencing, we now have complete DNA sequences for humans and other great apes to compare to one another. One finding that may be a surprise to non-biologists is that genomes change much, much more slowly than languages do. As we have seen, a mere 1600 years is enough to bring about modern English and Frisian from a common ancestral language – languages that, for all their similarities, are mutually unintelligible to each other despite a relatively recent separation. The human and chimpanzee genomes, on the other hand, are nearly identical to each other. If you restrict the comparison to the small fraction of the genome that contains gene sequences, the two species are over 99% identical to each other. If you expand the analysis to include all sequences (even ones that do not appear to have a sequence-specific function, or repetitive DNA that seems to accumulate in genomes over time), the number hardly shifts, dropping to about 95% identical. To put that in perspective, the human and chimpanzee genomes are more identical to each other than many alternative readings of certain passages in the New Testament, as minor as many of those differences are. And just as no one doubts that two New Testament fragments 95% identical to each other are in fact related through a process of (imperfect) copying, so too it is a significant stretch to argue that the human genome is not related to the chimpanzee genome, given such a high level of shared identity between them. On the whole, our genome and the chimpanzee genome have the features one would predict for slightly modified descendants of a common ancestral genome.

The nose knows (or at least it once did)

Having the complete genome sequences for a variety of great apes makes looking for additional shared mutations a trivial exercise, and it is no exaggeration to say that there are thousands of examples that could be used. One study examining shared mutations in great apes focused on a class of genes used for the sense of smell, known as olfactory receptor genes. The proteins encoded by these genes are present on the cells of the nasal epithelium—the surface of our noses—where they bind to molecules in the air. This binding sends nerve impulses to our brains, which, in specific combinations, we perceive as smells. Primates, as it turns out, have lost a number of genes in this category—and as we saw for the GULO enzyme, we share identical mutations in some of these genes with other primates. For example, in the data set from this study, twelve identical mutations were found to be shared between primates in a particular pattern (shown in red in the diagram below).

Three of these mutations are shared between humans and chimpanzees only; a further three are shared between humans, chimpanzees and gorillas; and a further six identical mutations are shared between humans, chimpanzees, gorillas and orangutans. This pattern is readily explained by the following: the common ancestral population of all four species has six mutations that occurred prior to the lineage leading to orangutans branched off; three more that occurred before the lineage leading to gorillas branched off; and another three that occurred before the lineages leading to humans and chimpanzees separated. In this model, there are no repeated identical mutation events in separate lineages—every mutation happens only once. Note also what we do notobserve—shared mutations that are not part of this pattern. While the researchers found other mutated olfactory genes, none of these mutations were shared, but rather present in only one species. Put another way, in this data set if we see a mutation shared between humans and gorillas, we see those exact mutations in chimpanzees without fail. Likewise, if we see a mutation shared between humans and orangutans, we see those exact mutations in gorillas and chimpanzees, again without fail. The shared mutations make a precise pattern that is exactly the pattern we expect if indeed these species share common ancestral populations that progressively divided into four lineages—a pattern known as a nested hierarchy.

Consider the alternative hypothesis for this data set—that humans, chimpanzees, gorillas, and orangutans do not share common ancestral populations. In order to explain the above data, we would have to postulate a long list of improbable events:

  • Six identical mutations occur independently in all four species, and each mutation replaces the functional version of the gene in each species.
  • Three identical mutations occur independently in gorillas, chimpanzees, and humans, but not in orangutans. Each mutation replaces the functional version of the gene in the three affected species.
  • Three identical mutations occur independently in chimpanzees and humans, but not in gorillas or orangutans. Each mutation replaces the functional version of the gene in both species.

As you can see, the alternative explanation requires numerous, identical mutation events in unrelated species that just happen to match one specific pattern out of thousands of possible patterns – the one pattern predicted by shared ancestry. And once you consider the thousands of shared mutations that conform to this pattern across the great apes, it becomes apparent just how strong the evidence for common ancestry is, and how strained the alternatives are. In scientific terms, common ancestry is a much simpler explanation, requiring far fewer events, and producing the observed pattern as a consequence of the mechanism rather than by chance. In other words, common ancestry is a vastly more satisfactory explanation for what we observe in nature than the alternative hypothesis that humans do not share ancestors with other apes.

As an aside, a third hypothesis is that the pattern of shared mutations is in fact the result of common design, rather than common descent. This is a common question. This hypothesis, however, is even more strained than postulating independent mutation events. In this case, we would have to postulate that, for reasons unknown to us, a designer placed these sequences into these four species with their mutations already in place, and thus not able to function as olfactory receptors. Additionally, the sequences were placed in precisely the pattern that common ancestry would produce. (Alternatively, the designer may have placed functional sequences into these four species but then chose to inactivate them in a specific pattern consistent with common ancestry). While such a possibility cannot be absolutely ruled out, it is very much an ad hoc explanation. After all, we know what these genes are for (contributing to the sense of smell), and we know from the mutations that they carry that they cannot perform that function. Similarly, we know that the GULO enzyme is for making vitamin C, and we know that it is non-functional in primates. The idea that God placed these mutations (and thousands of other examples) into these species in a pattern matching what common ancestry would produce – when in fact common ancestry is false – is something that is theologically problematic.

Common ancestry, then, is by far and away the most parsimonious explanation for the data we see. It’s possible to view common descent as God’s ordained mechanism for bringing about new species. In this sense, descent is the design.

Variation, populations, and speciation

What then, does this have to do with the central question of this series? The first consideration is that if humans indeed are the product of evolution and share ancestors with other species, we would expect that the process was mediated through populations, since evolution is a population-level phenomenon. Beyond this, however, is a way to use related species to estimate population size during the speciation process. In the above examples, each mutation completely replaced the functional version of the gene in the population before the lineages separated. In some cases, however, we would expect lineages to separate with genetic variation present for a given gene – i.e. with two or more alleles present in the population when it is separated into two lineages. Once we have a clear picture of how species are related to each other, we can search for genes that happened to have two or more variants during a speciation event, and use such genes to estimate population sizes for the resulting species – a topic we will explore next.

#You Say To-may-to, I Say To-mah-to

Throughout this article, we have discussed how evolution is a population-level phenomenon, where average characteristics shift incrementally over time. As we have seen, new DNA variants that arise from mutation events are the physical basis for this process. These mutations occur in one individual and then may spread to become more common in a population – perhaps even completely replacing all other variants of that sequence within a population. Just as a language may slowly change to a new spelling of a word, so too a population may shift from one DNA variant to another over time.

In this process, however, populations may maintain two (or more) variants for a long period of time. Again, language change over time is a useful analogy here. If we consider modern English as an example, there exist some variant spellings that are currently seen as “correct” within their local setting. Where an American would use forms such as “harbor” or “neighbor”, those from the United Kingdom, Canadians and others would use slightly different spellings: “harbour” and “neighbour”. For modern English as a whole, then, we maintain some acceptable variation in spelling for certain words – we have not yet universally “decided” on one correct spelling for these words, and perhaps we never will.

If we were to compare British English, American English, and Canadian English as a whole, Canadian and American English are more similar to each other, because they (in general) share a more recent common population of speakers than either does with British English (due mostly to more extensive mixing between Americans and Canadians since the Americas were colonized). This can easily be demonstrated– Canadians and Americans consistently use words and phrases that are more alike than either is to British English. As any American or Canadian home mechanic will tell you, reading a British automotive repair manual can be an exercise in confusion. Whereas Canadians and Americans use the same terminology, our cousins across the Atlantic use different terms for many car parts:

Other examples are easily found: no one in Canada says “aluminium” as British speakers do, opting rather for the American form “aluminum”. A favorite (favourite?) example comes from N.T. Wright: if you hear someone say “I’m mad about my flat” it makes all the difference in the world if they are North American or British. For those of us in North America, it means we’re upset about a tire puncture – for Brits, it means one is enthusiastic about one’s living arrangements. American and Canadian English consistently group together, since they are closer relatives to each other than either is to British English. In biological terms, Canadians and Americans share a more recent common ancestral population.

Yet, as any Canadian knows, despite our near-complete affinity with American English, there are few spellings that buck the overall trend. The –our vs. –or forms are a good example:

In this case, we see closer affinity between Canadian and British English – even though, on the whole, Canadian and American English are closer relatives. How is this possible? The answer is straightforward – although most of Canadian and American English shares a more recent common source than either does with British English,some Canadian words share a more recent common source with British words.

In the case of the “-or” vs. “-our” spellings, these were acceptably variable in the United Kingdom prior to the colonization of North America: while both forms were used, it seems that the “-or” versions were less common. When English speakers colonized North America, they brought both forms along for the ride. Examples of “-our” spellings can be found in early American texts. For example, honour makes an appearance in an early draft of the Declaration of Independence, though the final form has honor. In general, in the United States, the “-our” forms were lost, and in Canada, the “-or” forms were lost. We can represent these events on a phylogeny leading to the present-day forms, as if these languages were species, and the words within them were DNA variation:

As we can see, this process resulted in Canadian and British English matching more closely to the exclusion of American English for these specific word spellings, even though, as a whole, American and Canadian English are closer relatives. The reason for the pattern is simple – not every variant spelling from the original ancestral population (pre-colonization Britain) sorted down to every descendant population.

This effect is called incomplete lineage sorting, and it works in exactly the same way in biological populations as it does in linguistic ones. Instead of variant spellings, DNA variants present within an ancestral population may not sort completely down to every descendant species due to losses along the way:

Here, as before, we see that the variants present in Species 1 and 3 match more closely than either does with Species 2, even though Species 1 and 2 share a more recent common ancestral population. In order to find such DNA variants that buck the overall relatedness trend, we need to be confident that we have determined the true pattern of relatedness for the species we are examining. In practice, this is not difficult – we simply look at the overall pattern of relatedness between species at the DNA level. Species 1 and 2 in the diagram above will share DNA similarities to the exclusion of Species 3 most of the time in a nested hierarchy. The overall pattern will be consistent, but a few variants will produce a pattern that does not match the species pattern – a pattern said to be discordant with the pattern of overall species relatedness. As we have seen with languages, these discordant variants are useful for investigating the features of the populations that gave rise to them. Look again at the species diagram above. The fact that we see incomplete lineage sorting for DNA variants “A” and “a” tells us (1) that both variants were present in the common ancestral population of all three species, and (2) that both variants were present in the common ancestral population of Species 1 and 2. Knowing that these populations had these variants present within them allows us to estimate their level of DNA variation generally, which in turn allows us to estimate their population size.

Next, we will apply this technique to the genomes of humans, chimpanzees, and gorillas – and discuss how it sheds light on the population size of our lineage as we separated from other great apes on the long road to becoming human.

#Coalescence, Incomplete Lineage Sorting, and Great Ape Ancestral Population Sizes

In the last post in this series, we introduced the concept of incomplete lineage sorting using the distribution of words with alternative spellings in Canadian English, American English, and British English. As we saw, the variation in spelling words with “-our” and “-or” was present in the common ancestral population of all three groups. Despite sharing a more recent common ancestral population with Americans in general, Canadians use the “-our”spellings along with their British cousins in contrast to the American “-or” versions:

This type of pattern, as we noted, is also found in the DNA of related organisms that separate from each other over a relatively short timescale (in this context, within a few million years). Since the lineages leading to humans and other great apes went their separate ways within the last few million years, we expect that this pattern should apply to a portion of the human genome. While we should match our closest relative (chimpanzee) most often, we also expect that the human genome will match the gorilla genome more closely for some of our DNA sequences:

The reason that we expect to match with chimpanzees most often is straightforward: we shared a common ancestral population with them for a longer period than we did with gorillas, which branched off earlier. We do, however, expect to match with gorillas a portion of the time – just as Canadians and Brits match on occasion despite Canadians sharing a longer common history with Americans. And as we saw for alternative spellings, adiscordant DNA pattern – one that bucks the overall trend – lets us know that the DNA variants in question were both present in the common ancestral population of all three species (in this case, humans, chimpanzees, and gorillas) as well as in the common ancestral population of the two most closely-related species (in this case, humans and chimpanzees).

One difference between words and DNA sequences is that while an individual might be inconsistent with their spelling – such as a Canadian using American forms when writing for a predominantly American audience – it is not possible for an organism to be inconsistent with the DNA variants they possess. Humans, like all other mammals, have two copies of their DNA sequences – one they inherit from their mothers, the other from their fathers. As such, if we can measure how much DNA variation a population had, we can estimate its population size. More importantly in this case, if we can measure the proportion of DNA sequences in the discordant pattern for three species, we can use that information to infer the ancestral population size of the two more closely related species.

Coalescent theory 101

Note: unfortunately, there is no easy way to explain how this is done without delving a bit into the theory and math behind it. If this gets too complicated, feel free to skip this section and scroll down to the “doing the math” section below.

One way to think about DNA variation in populations is to think of it as time goes forward. In this case, DNA variants arise through mutation and diverge from one another within a population:

Another, equally valid way to think about it is to imagine time going backward – in this case, variant DNA sequences become the same, or coalesce as we go back in time:

The probability of any two sequences coalescing as we move back in time is the probability that they share the same ancestral sequence – that they are descended from the same original sequence. The probability that they are the descendent of any randomly-chosen ancestral sequence depends on the number of sequences present in the population – in other words, the size of the population.

Let’s return to the example we looked at before:

In this case, reading from right to left (i.e. travelling back in time) we would say that the human and gorilla variants (in yellow) we see in the present day coalesce with each other before they coalesce with the blue variant we see in chimpanzees (the yellow one having been lost). If you trace the yellow variants, they connect with each other sooner than either does with the blue variant. Because the yellow and blue variants do not coalesce with one another until we reach the (human, chimpanzee, gorilla) common ancestral population, there are several possible patterns that might result once such a population undergoes speciation into three descendent species. One possible pattern is the one in the diagram: the human and gorilla sequences coalesce first, followed by coalescence with chimpanzee (what we would call a (HG)C pattern). Another possibility, not shown, would be the gorilla and chimpanzee sequences coalescing first, followed by the human sequence (a (GC)H pattern). The final possibility, also not shown, would be the one that is usually produced – humans and chimpanzees coalesce first, followed by gorilla (the usual (HC)G pattern). Two of the three possible patterns, then, are discordant – (HG)C and (GC)H – and one is not discordant: (HC)G. So, 2/3 of the possibilities produce a discordant pattern, and 1/3 produce the “correct” pattern that matches the overall species pattern.

Notice that one requirement for a discordant pattern to result is that the two DNA variants in the most closely related species (humans and chimpanzees) cannot coalesce in the common ancestral population of those species. The probability that any two sequences will not coalesce in a population over time t is as follows:

In this equation, t = time in years that the common ancestral population in question persists, N = the population size, and g = the generation time in years. (N is multiplied by 2 because every individual carries two DNA sequences.)

From this formula, we can derive the probability that we will see a discordant pattern for any given DNA sequence in three related species. We require that the variants not coalesce, and we have shown that if they do not coalesce, 2 of the 3 outcomes are discordant. So, the probability of observing a discordant pattern is as follows:

Doing the math

With this equation in hand, we are now ready to apply it to what we actually observe in the human, chimpanzee, and gorilla genomes. Using paleontological and genetic data, the time span that humans and chimpanzees shared a common ancestral population after the gorilla lineage branched off is estimated to be 2 million years (t). Using an estimate of generation time of 20 years for all species throughout this process (a value consistent with that observed in present-day great apes) leaves us only with two factors outstanding: the population size of the (human chimpanzee) common ancestral population, and the proportion of DNA sequences we would predict to be in a discordant pattern. Prior to full-genome sequencing of gorillas that allowed for determining the latter, it was predicted, based on genetic evidence, that this population numbered around 50,000 individuals. This value, when plugged into the equation, predicts that 25% of the time we expect a discordant pattern when examining human, chimpanzee, and gorilla sequences. The actual result is about 30%, suggesting a population of about 62,000 individuals. This result adds further support to the prior evidence that the common ancestral population of humans and chimpanzees was large.

The publication of the complete orangutan genome in 2011 allowed for the same calculations to be made for the (human, chimpanzee, gorilla) ancestral population, since the orangutan lineage branches off the primate tree prior to the (human, chimpanzee, gorilla) speciation events. Once again, predictions were made based on prior population size estimates, and once again the estimates closely matched the observed values – the common ancestral population of (humans, chimpanzees, and gorillas) was of similar size to the (human, chimpanzee) common ancestral population.

Implications for human origins

While this quantitative data is not as easy to appreciate as other sorts of evidence we have examined, it nonetheless is compelling: humans, chimpanzees, and gorillas have, within their genomes, the exact pattern of incomplete lineage sorting predicted by (a) relatedness as evidenced by all other lines of genomic evidence (such as shared mutations in individual genes) and (b) large ancestral population sizes throughout the speciation process.


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