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population sinks

  • Local adaptation in population sinks

    Sat, 2009-03-21 22:43 -- John Hawks

    Different populations of humans live at markedly different densities. Human populations historically have had very different growth rates. Although Pleistocene humans did not live in cities, the archaeological record suggests that they also had a huge variety of densities and growth rates in different places. Some populations were relative sources, generating an excess of people who migrated outward to other places. Other populations were sinks, with populations unable to maintain their numbers without immigration from elsewhere.

    Today, Europe is a population sink. The fertility rate of indigenous Europeans is below replacement in nearly every European country. Demographic projections indicate that the population will shrink in the coming century, except to the extent it is supported by immigration from outside of Europe. The evolutionary effect of a population sink is to reduce the genetic differentiation between the sink and source population.

    A population sink may have other, longer-term evolutionary effects. Europe in the Pleistocene was periodically a challenging place for humans to live. The people who remained there and elsewhere across the temperate zone of Central and Western Eurasia were the Neandertals. I have often wondered whether Neandertal evolution was influenced by negative population growth and immigration from larger human populations to the south, such as the populations of Africa or South Asia.

    The Neandertals appear to have been cold-adapted, and other aspects of their anatomy may have been adaptive to the temperate Eurasian ecology. Local adaptation suggests that Neandertal genes were not constantly swamped by immigration from elsewhere. But does that preclude a strong effect of migration on other genes? And is it possible that changes in the ecology of Europe during the last glacial may have intensified the population sink, drawing a higher fraction of migration from outside of Europe?

    To try to answer these questions, we need to examine some population genetics. Holt and Gomulkiewicz (1997) addressed the problem of local adaptation in sink populations.

    The standard interpretation of adaptive evolution in a local population coupled by dispersal to other populations emphasizes the relative strength of opposing forces: natural selection, favoring locally fitter genes, and gene flow, reducing the frequency of locally favored genes. For a wide range of models ... one can compare the impacts of these two forces using a rule of thumb: for a given selective advantage of a locally favored allele, there is some rate of gene flow below which that allele will spread when rare. Hence, the greatest scope for local adaptation should occur at low to zero rates of gene flow.

    Now suppose the local population is a "sink" population, that is, one that would go extinct deterministically without recurrent immigration (Smida and Ellner 1984; Pulliam 1988; Holt 1993). If we apply the prior rule of thumb to such a population, it leads to an absurd conclusion. While zero immigration provides the widest scope for local adaptation, a sink population without immigration goes extinct. And there is, of course, little scope for evolution in extinct populations (564).

    The authors propose that this paradox may be resolved by an appeal to absolute fitness instead of relative fitness, and population numbers instead of gene frequencies.

    That is music to my ears, since I think the dynamics of population size have been very important to human evolution. Maybe the evolution of the European Neandertals was determined by the demographic effects of new alleles, in opposition to the effects of immigration. Genetic evidence from Neandertals and later Europeans might test that hypothesis, at least applied to the Neandertals of the last glaciation.

    Holt and Gomulkiewicz showed with very simple mathematics that the condition for a rare locally adaptive gene to increase in a sink population is that the absolute fitness of the gene be greater than one -- called "unity" by the mathematically-minded. What that means is that carriers of the gene must increase in absolute numbers within the sink population. If they don't then the gene will not invade the population.

    When I read this, I thought there must be some oversight or mistake. Why couldn't an allele be superior to the wild-type, and therefore increase in relative frequency, even if its absolute fitness were less than unity?

    The answer is twofold. First, the sink population is shrinking. The fixation probability of a selected mutation is 2(s + r) in a population of changing size. That's a bonus of population growth (as we illustrated in 2007) but it's a deficit in a shrinking population, where r is a negative number. If s is bigger than r, then the new mutation will have a chance of beating genetic drift -- and that condition means that the absolute fitness of s will be greater than unity.

    Second, the wild-type allele is constantly refreshed by immigration from outside the sink. It can't drop down to zero, even though it tends to decline locally. The mutant allele can't be introduced from outside. Its fate will be extinction.

    Now since a sink population by definition declines in numbers without immigration, this seems to be a paradox. If the fitness of the gene were a constant, then local adaptation would be possible only if the gene causes the population not to be a sink anymore. From the discussion:

    The second implication is that local adaptation (fitness maximization) only occurs if mutants arise that can permit the population to persist without immigration. In other words, adaptive evolution in a sink habitat is essentially synonymous with niche evolution (570).

    That seems like a trap -- a source-sink metapopulation with local adaptations couldn't exist. But the logic assumes that the locally adaptive allele has the same fitness effect when it is common as when it is rare. That need not be the case: for example, a locally adaptive allele might have high fitness when the local population is scarce, but lower fitness when it becomes common. In that case, the locally adaptive allele might come to an equilibrium frequency where the sink population is still propped up by immigration. But the "sink" in that scenario would only be so with reference to excess migration from the source. If immigration were stopped, the "sink" would shrink to a lower population size but not to extinction.

    The authors covered this point by considering density-dependence:

    Making fitnesses density dependent provides one means by which the rate of immigration can directly influence the chances for local adaptation, via its effect on absolute fitness. All else being equal, with density dependence, higher rates of immigration will usually lead to higher local densities and lower fitnesses (Holt 1983). When an allele is rare, it will still be true that equation (10) approximately describes the initial dynamics of a diploid locus, but the heterozygote fitness may be depressed below unity by density-dependent reductions in fitness. Because of density dependence, some locally favored alleles may be able to invade at low immigration rates but be excluded at high rates. This suggests that immigration may indeed in some circumstances hamper local adaptation, although the actual mechanism is ecological rather than genetic. Moreover, a necessary criterion for an allele to increase when rare is still that its absolute fitness at low densities must exceed 1, regardless of density dependence (570).

    There is also the possibility of temporal fluctuations in the sink population, so that it is self-sustaining at some times but sustained only by immigration at others. This is the most probably scenario for Europe, and I will consider it further in a second post, which draws on some additional theoretical work for support.

    Finally, Holt and Gomukiewicz made an interesting observation. An allele must have an absolute fitness greater than unity to invade a sink population. The fact that population is a sink means that the wild-type allele has an absolute fitness less than unity. So for local adaptation to occur, the difference in absolute fitnesses of the two alleles must exceed the deficit of reproduction in the sink. This leads to the following:

    This observation suggests that mutants of small effect on individual fitness typically cannot invade a sink habitat. Only mutants of sufficiently large positive effect on absolute fitness can increase when rare. Part of the conventional wisdom of evolutionary biology has long been that adaptive evolution largely rests on the accumulation of genetic changes, each of small effect. The above models clearly highlight one circumstance, namely, sink populations maintained by immigration, where this mode of adaptive evolution is precluded (570).

    Put these things together, and what do they add up to?

    1. Local adaptation in marginal environments, like Pleistocene Europe, should be strongly mutation-limited. Only the new mutations with the strongest effect on fitness will be able to invade the population. These are intrinsically rare.

    2. Local adaptation will depend strongly on the periods in which the local population is growing and large. These may be when the local climate is most similar to the center of the species' range -- in our case, subtropical Africa. But when the ecology is most similar to the source population, the selection pressure for change is the weakest.

    3. Thus, local adaptation should be strongest for features of the environment that continued to constrain growth even during when the regional climate was mild. For example, Neandertal body form may not be an adaptation to cold per se, as much as it is an adaptation to winter, which continued even during interglacials.

    4. Holt and Gomulkiewicz's model assumes that the selected allele is a new mutation in the sink population. But it may be more likely that migration of low-frequency alleles from the source population may introduce adaptive alleles. Such alleles would be most likely to succeed if they were reintroduced multiple times. Hence, polymorphisms that actually occurred at appreciable frequencies in the source (to be introduced many times) would be most likely to contribute to local adaptations in the sink. To the extent that morphology reflects such alleles, we might find many of the features of Pleistocene Europeans in other Pleistocene populations at low frequencies.

    What does this theoretical perspective tell us? Part or possibly all of the European population may have remained a sink, even over the evolutionary timescale, even while developing local adaptations. That's a hypothesis, and it remains to figure out what kind of observations would test it.

    The scenario predicts two things:

    a. Locally adaptive alleles must not have been near fixation. If they were, the population was not a sink.

    b. Ecological changes that reduced the absolute fitness of locally adapted alleles would have increased the importance of immigration. For example, glacial maxima might actually reduce the distinctiveness of the European population by making the persistence of local adaptations less likely.

    If we don't observe these effects, it would argue that the Neandertals had successfully established niche differentiation, with an evolutionary trajectory independent of other human populations.

    UPDATE (2009-03-22):

    I should also point to the longer paper by Gomulkiewicz and colleagues (1999), which covers the same theoretical ground in more detail. The earlier paper is a lot easier to get the general argument, which is based on a very simple algebraic formulation. But the longer paper covers more cases.

    In particular, they examine what happens to a sink population after an adaptive allele is introduced, if then migration from the source is removed. Since the criterion for selection to succeed on the adaptive allele is that its absolute fitness is greater than unity (when rare), they find the expected: the sink population stabilizes at a persistent, though smaller, size.

    Also, they show that the immigration rate determines the long-term survival of selected alleles in the sink population. That's not unexpected either, but they give a clear statement of it in the discussion:

    Density regulation has a number of potentially important effects on local adaptation in a black-hole sink. First, density dependence causes local fitnesses in the sink to depend on the immigration rate. In the absence of a locally favored allele and given stable dynamics, increasing immigration increases the equilibrium sink size. This demographic effect in turn depresses local absolute fitness, including the fitness of individuals that carry the favored allele. It is through this ecological effect that immigration impedes local adaptation rather than because migration swamps out local adaptation, as is assumed in standard treatments (294).

    The authors manage to induce chaotic dynamics on the size of the sink population with relatively simple assumptions concerning density dependence. In the end, that has minor effects on the frequency of a selected allele in that population, but has very large effects on the population size. These dynamics are determined by the way that immigration depends on the current size of the sink population.

    They find that density dependence also can determine the success of a locally adaptive allele:

    A second way that sufficiently strong density regulation can hamper the spread of locally favored alleles is by generating non-equilibrium population dynamics. When a novel allele is introduced into a fluctuating sink population, the criterion for its spread depends on a geometric-mean absolute fitness. Geometric-mean fitness strongly reflects low fitnesses and thereby places additional restrictions on the absolute fitnesses necessary for a locally favored allele to invade (Holt and Gomulkiewicz, 1997a). A similar criterion would likely apply if fluctuations in population size were driven by stochastic environmental variation in population growth rates rather than by deterministic
    density dependence (294).

    Variable fitness is a complicated topic examined by Kimura in a number of papers. It's interesting that density dependence can by itself induce the same kind of variation in the effect of selection as stochastic variation in the environment. If you're thinking about Neandertals in terms of a distinction between the influence of climatic change and interaction with other populations, there may be no difference between these forces with respect to population dynamics.

    References:

    Gomulkiewicz R, Holt RD, Barfield M. 1999. The effects of density dependence and immigration on local adaptation and niche evolution in a black-hole sink environment. Theor Pop Biol 55:283-296.

    Holt RD, Gomulkiewicz R. 1997. How does immigration influence local adaptation? A reexamination of a familiar paradigm. Am Naturalist 149:563-572.

  • Live fat die young, bearwise

    Wed, 2008-10-01 09:35 -- John Hawks

    This story describes research on the longevity and maturation of wild bears who have invaded urban habitat in Nevada:

    It turns out that urban black bears are much heavier and more likely to die violent deaths than their wilder peers, the study found. Oh, and if female, they're more likely to get pregnant at a younger age.

    The research is describing cities and suburbs as "population sinks" for bears. The idea is that the urban habitat is drawing in bears (to eat garbage) who would otherwise live in marginal wild areas. Since those marginal wild areas are themselves probably population sinks -- and the urban bears are reproducing younger -- it's not obvious that this is a net loss to the bears. But the behavioral and physiological consequences of the human diet -- fatter bears who reproduce younger -- and the interaction with the high death rate (from being hit by cars) is fascinating.

  • Sample sizes and the "Neandertal haplogroup"

    Tue, 2008-08-26 11:47 -- John Hawks

    I have an excellent e-mail question about last week’s Neandertal mtDNA paper, which has provoked a lot of commentary.

    I just skimmed over your comments on the recent paper and I have a couple questions. First, how many Neanderthals did they receive mitochondrial DNA from? I think I read somewhere that it was fewer than ten.

    Second if that is true, what the hell does it mean? I wouldn’t try and predict anything based on even fifty humans from that long ago much less 8 or 9 in genetic terms. I don’t think that anyone else would either unless they are grandstanding. You can’t prove a negative so they really can’t say that no modern humans have any Neanderthal DNA. Did they study Neanderthals from Asia? I just think they don’t have a good enough sample and until we can resequence a Neanderthal nucleus and bring the little tyke to term and wait for him or her to marry then wait for those kids to have kids will we really be sure we’ve got the goods.

    Krause et al. (2007) list 15 Neandertal partial mtDNA sequences. Ten of these at that time presented relatively long portions, including the central Asian Okladnikov and Teshik Tash specimens, Mezmaiskaya, Feldhofer 1 and 2, Vindija 75 and 80, Scladina, Monte Lessini, and El Sidrón 1252. The same paper lists five additional specimens for which only a very short sequence had been recovered (just enough to diagnose as part of the Neandertal clade), including Vindija 77, El Sidrón 441, Engis 2, Rochers de Villeneuve, and La Chapelle-aux-Saints.

    We do not know that every Neandertal belonged to the same mtDNA clade as those 15 sequences. Some of them may have looked different, possibly including the new clade otherwise present in later Upper Paleolithic and living people. But based on the 15 sequences we have, we can say that a large fraction of Neandertals must have carried the “Neandertal haplogroup.” Exactly how large a fraction depends on what we are willing to believe about contamination, preservation, and the randomness of our sample.

    Now, let’s consider the question: Can we predict anything about Neandertal evolution and relationships based on this small, possibly unrepresentative sample of mtDNA?

    The answer is that it doesn’t matter very much whether we have 5 sequences or 500. If 15 out of 15 specimens from different sites across Europe preserve a single mtDNA haplogroup, we can’t say it was universal, but we can say it was common. If 40 out of 50, or 400 out of 500 specimens had the same haplogroup, that would increase the precision, but not change the basic fact: Neandertals had at least one common haplogroup that is now so rare it has never been found in a sample of 100,000 or more people. We deserve some explanation.

    The possible explanations are:

    1. Random genetic drift
    2. Accelerated genetic drift due to demographic turnover
    3. Population extinction and replacement
    4. Natural selection


    Drift

    Random genetic drift is fairly easy to refute, although it might not appear so at first. In favor of drift: There were few Neandertals, and the population size of the succeeding Upper Paleolithic, up through the Last Glacial Maximum, was also small—the best estimates are on the order of 2000 people for Western Europe and 5000 for continental Europe to the Urals (Bocquet-Appel et al.2005). There would have been perhaps twice or more that number across the entire Neandertal range. The effective population size represented by this population would have been smaller; perhaps 3000–5000 for Neandertals and Aurignacian-era people, only half, or around 2000, females. Genetic drift in this small mtDNA population would have been much stronger than for autosomal genes, and very much stronger than in most recent human populations.

    But when we plug these numbers into a model of random genetic drift, it starts to appear very unlikely that drift alone could explain the observations. Let’s assume (falsely) that our Neandertal genetic samples all dated to 40,000 years ago, and the female effective size was 2000 individuals between then and 15,000 years ago, and that the population of Neandertal country were a random mating pool. Following these assumptions, on averageall the mtDNA genomes at 15,000 years ago would descend from only 4 or 5 ancestral copies in the population 40,000 years ago. If these five ancestral copies were, by chance, a different haplogroup from the 15 copies we’ve already found, then drift could explain the data.

    However, this still doesn’t appear very likely. So far, every one of the Neandertals shares a single haplogroup. The frequency of this haplogroup was apparently very high, making it very unlikely that all five ancestral copies would have belonged to some other haplogroups of which we have never found any trace.

    Notice that this argument does not depend very much on the number of Neandertal mtDNA sequences that we have found. The fact that there are 15 helps to constrain the frequency of the haplogroup within the population 40,000 years ago, in our model. That frequency is unlikely to be less than around 85%, assuming random sampling. But suppose there were only five. We would still know that the Neandertal haplogroup was very common in its population, even if we thought it was only 50%. It would still be unlikely to draw four or five ancestral copies and have all of them be some other haplogroup that we haven’t found.

    This gives us a considerable confidence margin against drift. We need it. After all, the Neandertals were not randomly sampled at a single time, and it is possible that some of them actually carried a human-like mtDNA sequence, which we now falsely interpret as contamination. But even with these shadows hanging over us, it would still be unlikely that none of the ancestors of today’s mtDNA variation were like the Neandertal haplogroup.

    Also, the population was not a random-mating pool. When we add geographic structure to the story, which tends to reduce the importance of genetic drift, we find that the possibility that drift alone is almost zero, and it remains very unlikely that a single migration of modern humans interbreeding with Neandertals under random drift could explain the observations, either (Currat and Excoffier2004).

    Extinction

    It is at this point that most geneticists turn to the hypothesis of complete Neandertal extinction. They have a point. Genetic drift apparently cannot explain what we have observed, In their point of view, if genetic drift alone cannot explain the Neandertal mtDNA disappearance, then the only other random process at hand is extinction.

    I think that hypothesis is false. It does not account for morphological similarities between Neandertals and later people, genetic evidence that suggests a strong ancient population structure with introgression, or with the apparent behavioral continuity in the Upper Paleolithic.

    Happily, I don’t have a commitment to random processes. Instead, I think that the mtDNA evolution of Europe was driven by nonrandom processes of demographic turnover and selection.

    Demographic turnover

    Here we come to an important point. No one believes that later Europeans evolved from earlier Neandertals by a random process of genetic drift. Yet that is precisely the hypothesis that most studies have set up to refute. Without question it is valuable to set up boundary conditions under the hypothesis of random genetic drift. But the time has come to investigate more interesting models.

    Personally, I am surprised that more complicated metapopulation dynamics have not gotten more attention as an explanation for the Neandertal mtDNA results. Population sources and sinks are a hot topic in biology, and you would think that anthropologists would have picked up on this. To my knowledge, the only time anyone has examined a population sink model was in 2001, when Milford Wolpoff and I worked with mathematician Per Enflo on such an idea for Neandertals (Enflo et al.2001). This idea deserves a fuller treatment (I think I’ll suggest it as a project for one of my classes this year!).

    In a nutshell, a population sink is a region where the average rate of reproduction is below replacement levels. This region can remain populated only if individuals migrate in from other places. The places that reproduce above replacement are called population sources. The continual migration from sources to sinks creates a genetic gradient. Individuals sampled at any given time in the population sink are overwhelmingly likely to have ancestors not in the sink but in one or more source populations.

    Europe today is a population sink. The population of the continent does not produce enough children to replace itself, and immigration from other parts of the world is high. There are several reasons to suggest that Europe may have been a population sink in prehistory as well. In Neandertal and Upper Paleolithic times, climate fluctuations created unique challenges in Europe, where caloric expenditures were high and food harder to obtain than some other regions.

    Continual migration into Europe would provide a simple explanation for why none of today’s mtDNA haplogroups derive from the European Neandertals. The mtDNA population of 15,000 years ago had a few ancestors 40,000 years ago, and none of these ancestors lived in the sink population—all came from the source population in Africa or West Asia. The Neandertal mtDNA variation would have been a short-lived phenomenon, continually being turned over from source populations. Some Neandertal genes would have survived in Europe for hundreds of thousands of years, but some would have come in with more recent migrants from the population source.

    There are points that argue against this source-sink hypothesis. The Neandertal-human divergence time for mtDNA is not very different than that estimated for the autosomal genome. If a European population sink had made genetic drift more powerful, that should have affected mtDNA more than the autosomes, so we might expect a more recent mtDNA divergence. Still, there is nor reason why the source-sink dynamic need have been constant over Neandertal evolution, and there may have been multiple sources in the Pleistocene, not only Africa and West Asia. Investigating the boundary conditions of the source-sink model and its correspondence to autosomal genetic results would be helpful.

    I should note that mtDNA is not special. Neandertals had lots of traits that are now very rare. The horizontal-oval, or “bridged” mandibular foramen is a prominent example. Out of the relatively small sample of Neandertal mandibles, half have this derived form. Fewer than one percent of recent European mandibles have this form. As for mtDNA, a once-common variant is now very rare. And as for mtDNA, we deserve some explanation. A source-sink model would appear consistent with the continued evolution of such traits during the Upper Paleolithic—a time when the extinction and replacement hypothesis predicts no change in these characters.

    Natural selection

    The other nonrandom hypothesis is natural selection, which would presumably have favored one or more modern human types while eliminating the original Neandertal haplogroup. I won’t say much about that hypothesis here, since I discussed it in my initial post about the whole-mtDNA-genome sequencing. Selection has a leg up over the other hypotheses now because it seems like there’s good evidence it happened.

    Still, selection on mtDNA alone could not explain the total pattern of observations about Neandertals. Physical traits that were once frequent in Neandertals were much less common or absent in later Europeans, and some continued to reduce in frequencies over time. To explain these changes, we must invoke either selection on other traits, or continued demographic turnover in the post-Neandertal population (probably more immigration into Europe) or both.

    So selection on mtDNA has never been a sufficient or necessary hypothesis, even if we assume that other genes carried by Neandertals still survive. But given the current evidence that suggests something distinctive about the mtDNA of recent humans, natural selection may receive renewed attention as a factor in the disappearance of the Neandertal mtDNA haplogroup.

    References


       Bocquet-Appel JP, Demars PY, Noiret L, Dobrowsky D. 2005. Estimates of Upper Palaeolithic meta-population size in Europe from archaeological data. J Archaeol Sci 32:1656–1668. doi:10.1016/j.jas.2005.05.006.

       Currat M, Excoffier L. 2004. Modern humans did not admix with Neanderthals during their range expansion into Europe. PLoS Biol 2:e421.

       Enflo P, Hawks J, Wolpoff MH. 2001. A simple reason why Neanderthal ancestry can be consistent with current DNA information. Am J Phys Anthropol 114:S62.

       Krause J, et al. 2007. Neanderthals in central Asia and Siberia. Nature 449:902–904. doi:10.1038/nature06193.

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Neandertals

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