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Show Brief Communications A Pleistocene Population X-plosion? STEPHEN WOODING l AND ALAN ROGERS l In two recent papers, Kaessmann et al. presented DNA sequence data from the X chromosome (Xq13.3) of 30 chimpanzees and 69 humans (Kaessmann et al. 1999a; Kaessmann et al. 1999b). These data bear on two longstanding questions involving late Pleistocene demographic history: (1) whether the long-term demography of humans is characterized by explosive population growth, and (2) whether chimps show population growth coinciding temporally with growth in humans. Some genetic loci, such as mitochondrial DNA sequences (Rogers 1995), autosomal microsatellites (Kimmel et al. 1998), and microsatellites on the Y chromosome (Pritchard et al. 1999), have been taken as support for an explosion in human population size; other data have not (Harris and Hey 1999). However, most of the data showing no evidence of a population increase have been gathered from nuclear sequences of functional importance, making them vulnerable to the effects of natural selection (Kaessmann et al. 1999b). Xq13.3 provides the first substantial noncoding nuclear genetic sequence data useful for the evaluation of historical demography. The additional chimp data are pertinent to discussions of whether human demographic expansion was caused by generalized historical events affecting many species, such as global climate changes, or by human-specific factors, such as technological innovations. In their analysis of Xq13.3 diversity in humans, Kaessmann et al. found that a test of Tajima' s D (Tajima 1989), which compares the total number of variable nucleotide positions in a sample of sequences with the mean pairwise difference, fails to reject the hypothesis of constant population size. However, two lines of evidence suggest that the data are consistent with a population expansion. First, the application of Fu' s Fs test (Fu 1997), which compares the relative abundance of alleles at different frequencies in a sample and is more I Department of Anthropology, University of Utah, 270 South 1400 East, Salt Lake City, UT 84 11 2- 0060. Human Biology, August 2000, v. 72, no. 4, pp. 693-695. Copyright © 2000 Wayne State University Press, Detroit, Michigan 48201- 1309 694 / WOODING AND ROGERS 1.0 0.0 -Y...LL.y....---,c:....::JL.:l..f:...=...;=-!:f'-==-==-=---- 1 5 10 15 20 Number of Occurrences Figure 1. Frequency spectrum of mutations in human Xq 13.3 sequences. Dashed line represents theoretical expectation under the hypothesis of no growth. sensitive to population growth than D, yields a value of -7.570, rejecting the hypothesis of demographic stationarity at the 5% significance level. The negative value of F, indicates that more low-frequency variants are observed than are expected-a deviation reflected in a graphical comparison of observed data to theoretical expectations under constant size (Figure 1). Second, the application of Rogers' method for estimating historical demographic parameters, which analyzes the distribution of pairwise nucleotide differences among sampled sequences, yields Do = 0.646, and i = 2.423 (Rogers 1995). Under a two-epoch "sudden change" model of population history, which makes the simple assumption that a population changed instantaneously from an ancient population size to the modern one, 00 = 2NoJi provides an estimate of ancient population size No (measured as the number of X chromosomes), and i = 2Jit provides an estimate of the length of time t (measured in generations) that has passed since the size change occurred (Rogers 1995), No and t can be obtained by letting Ji equal the product of the nucleotide substitution rate (per site per year), the number of nucleotides in the sequence, and the number of years per generation. Under the nucleotide substitution rate of 10-9 per site per year proposed by Kaessmann et a\. (l999a), a sequence length of 10,000 nucleotides, and a 20-year generation time, eo, and i point to a rise in human populations from an initial effective size of around 1600 X chromosomes (roughly 1000 people), approximately 120,000 years before present. The confidence interval around both of these estimates is likely to be broad. A Pleistocene Population X-plosion? / 695 Xq13.3 sequences in chimps are more ambiguous: Fs = -6.637 for all chimps together, and - 3.67l for West African chimps alone, failing marginally to reject stationarity. Neither constant size nor growth can be excluded. In summary, Xq13.3 data from chimps are complex and ambiguous, but they do not appear to show evidence of a major Pleistocene expansion. However, Fs rejects the hypothesis that human population size has been constant, and eo and i are in general agreement with earlier findings of popUlation growth based on autosomal microsatellites, microsatellites on the Y chromosome, and mitochondrial DNA (Kimmel et al. 1998; Pritchard et al. 1999; Rogers 1995). Xq13.3 sequences can be added to the list of loci supporting a late Pleistocene population explosion in humans. Received 25 April 2000; revision received 24 May 2000. Literature Cited Fu, Y.-X. 1997. Statistical tests of neutrality of mutations against popul ation growth, hitchhiking and background selection . Genetics 147:915- 925 . Harri s, E.E., and J. Hey. 1999. Human demography in the Pleistocene: Do mitochondri al and nuclear genes te ll the same story? Eva!' Anthro. 8:81-86. Kaessmann, H., V. Wiebe, and S. paabo. 1999a. Extensive nuclear DNA sequence di vers ity among chimpanzees. Science 286: 1159- 11 62. Kaessmann, H. , F. HeiBig, A. von Haeseler et aJ. 1999b. DNA sequence vari ation in a noncoding region of low recombination on the human X chromosome. Nature Genetics 22:78-8 1. Kimmel, M., R. Chakraborty, J.P. King et al. 1998. Signatures of population expansion in microsatellite repeat data. Genetics 148: 192 1- 1930. Pritchard, J.K., M.T. Seielstad, A. Perez-Lezaun et al. 1999. Population growth of human Y chromosomes: A study of Y chromosome microsatelli tes . Mol. Bio!. Eva!. 16:179 1- 1798. Rogers, A.R. 1995. Genetic evidence for a Pleistocene popUlation explosion. Evolution 49:608- 615. Tajima, F. 1989. Stati stical method for testing the neutral mutation hypothesis by DNA pol ymorphism. Genetics 123:585-595. |