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Nucleotide Variation and Recombination Along the Fourth Chromosome in Drosophila simulans
Wen Wang1,a,c, Kevin Thornton1,b, J. J. Emersona, and Manyuan Longa,ba Department of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637
b The Committee on Genetics, University of Chicago, Chicago, Illinois 60637
c CAS-Max Planck Junior Scientist Group, Key Laboratory of Cellular and Molecular Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, People's Republic of China
Corresponding author: Manyuan Long, University of Chicago, 1101 East 57th St., Chicago, IL 60637., mlong{at}midway.uchicago.edu (E-mail)
Communicating editor: L. HARSHMAN
| ABSTRACT |
|---|
The fourth chromosome of Drosophila melanogaster and its sister species are believed to be nonrecombining and have been a model system for testing predictions of the effects of selection on linked, neutral variation. We recently examined nucleotide variation along the chromosome of D. melanogaster and revealed that a low average level of recombination could be associated with considerably high levels of nucleotide variation. In this report, we further investigate the variation along the fourth chromosome of D. simulans. We sequenced 12 gene regions evenly distributed along the fourth chromosome for a worldwide collection of 11 isofemale lines and 5 gene regions in a local population of 10 isofemale lines from South America. In contrast to predictions for regions of very low recombination, these data reveal that the variation levels in many gene regions, including an intron region of the ci gene, vary considerably along the fourth chromosome. Nucleotide diversity ranged from 0.0010 to 0.0074 in 9 gene regions interspersed with several regions of greatly reduced variation. Tests of recombination indicate that the recombination level is not as low as previously thought, likely an order of magnitude higher than that in D. melanogaster. Finally, estimates of the recombination parameters are shown to support a crossover-plus-conversion model.
INVESTIGATION of evolutionary forces at the sequence level often relies on the understanding of the relationship between recombination and variation. Of particular interest is the effect of natural selection on levels of neutral variation at linked sites. Both background selection (![]()
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Two evolutionary genetic models have been proposed to account for the correlation. The classic model, selective sweep via the hitchhiking effect (![]()
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= 4Nµ), will be reduced. In these genetic models the effect of selection is so strong that in regions of extremely low recombination variation is severely reduced. Even though the fourth chromosome was previously thought to be virtually free of recombination, either selective sweep or background selection can reduce variation.
Genomic regions of low recombination have become a hunting ground for detection of selection, even though it is unclear that the selection is positive or negative. One such region is the small fourth chromosome of Drosophila. Although the chromosome contains
5 Mbp, only one-quarter of it in the right arm of the chromosome is euchromatic, encoding only
80 genes (![]()
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The first direct observation of nucleotide variation on the fourth chromosome was an analysis of polymorphism at the cubitus interruptus (ci) gene in D. melanogaster and simulans (![]()
= 00.0003) were observed (![]()
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The conclusion that the fourth chromosome is essentially nonrecombining was questioned in general when we analyzed the polymorphism data of Sphinx (Spx). A young gene that recently originated in the single lineage of D. melanogaster, Spx and its flanking region (![]()
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| MATERIALS AND METHODS |
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Drosophila strains:
Eleven D. simulans isofemale lines collected from different geographic areas were investigated for sequence variation (Fig 1) and have been kept in a lab for >15 years. DNA extracted from a single male of each stock served as the PCR template for amplification of all 12 regions surveyed. Ten isofemale lines of a local population from Quito, Ecuador (collected by W. Ballard in 2000) were also used in this study.
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Gene regions and sequencing:
We chose 12 gene regions to survey for nucleotide variation of the worldwide samples (Fig 1), which are evenly distributed along the chromosome. We also sequenced five gene regions for variation in the Ecuador population (Fig 2). These gene regions were PCR amplified using a high-fidelity DNA polymerase (Roche Molecular Biochemicals, Indianapolis) with the extension temperature at 68°, as recommended by the manufacturer (the primers are listed in Table 1). The PCR products were cleaned with the PCR product purification kit (QIAGEN, Valencia, CA) and sequencing was accomplished on an Applied Biosystems (Foster City, CA) 377 sequencer. Alignments were manually inspected and all polymorphisms were resequenced and carefully verified to avoid artifacts. All primers and fly strains are available upon request. No heterozygous nucleotide sites were found in worldwide-collected lines. In a few lines of the local population of Quito, some heterozygous sites were found, and one of two nucleotides in such sites was randomly chosen, although used in the analysis of variation only. Recombination and linkage disequilibrium were analyzed in the worldwide-collected lines, but not in the local population because of its heterozygous sites.
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Gene order in the region between CG11153 and Pho genes:
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Evolutionary genetic analysis:
The major goal of the analysis is to test various statistical expectations on the basis of two conventional beliefs: (1) The D. simulans fourth chromosome lacks variation and (2) the D. simulans fourth chromosome, similar to the chromosome of D. melanogaster, is nonrecombining (![]()
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- Estimation of summary statistics: We first generated polymorphism data, including polymorphism created by both nucleotide substitutions and insertion-deletion (indel) changes. We then calculated the following statistics from the sequences and polymorphism data: Numbers of synonymous sites (silent sites), numbers of nonsynonymous sites (replacement sites), nucleotide diversity
(NEI 1987 ) in total sites and synonymous sites, Watterson's estimator
(WATTERSON 1975 ) in total sites and synonymous sites, number of substitutions per synonymous site (KS), and number of substitutions per nonsynonymous site (KA). These statistics were computed by using DnaSP (
ROZAS and ROZAS 1999 ).
- Statistical comparison between observed and expected values of variation: Under the assumption of neutrality, a probability distribution of polymorphism for an expected variation parameter
= 4Nµ was calculated following the recursion equation 
(
HUDSON 1990 ), where N and µ are effective population size and mutation rate per nucleotide site, respectively, and

in which l is length of DNA sequence and n is number of alleles. Two values of
were used in the calculation:
= 0.0002 for the ci gene and
= 0.0005 for the ank gene (JENSEN et al. 2002 ).
- Test of homogeneity across gene regions: We tested a null hypothesis that the variation in different regions is similar, on the basis of the evolutionary hypothesis that the fourth chromosome evolved as a single unit. This was conducted by calculating a goodness-of-fit statistic in which the observed and the expected number of segregating sites at the ith region (Si;
KREITMAN and HUDSON 1991 ),

which follows the
2 distribution with k 1 d.f. (k = number of gene regions). This statistic was shown to be insensitive to assumptions of recombination [see p. 572 of KREITMAN and HUDSON 1991 ]. In this equation, the expectation Exp(Si) and variance Var(Si) of the segregating sites in the ith gene regions are

and

where
was computed as nucleotide diversity using the total number of polymorphic sites of all k gene regions, li as the length of the ith gene region, and n as the sample size for polymorphism survey. - Tests based on the site frequency spectrum: By taking advantage of a large number of polymorphic sites [56 single-nucleotide polymorphisms (SNPs) out of 82 polymorphic sites including indels] pooled from all gene regions, we used Tajima's D (
TAJIMA 1989 ) to test the prediction that selective sweeps on the fourth chromosome reduce variation such that the polymorphism spectrum is skewed toward rare variants.
BRAVERMAN et al. 1995 and
SIMONSEN et al. 1995 showed in simulation studies that such deviation from the spectra predicted from neutrality can distinguish either directional selection or demographic effects from background selection, although both types of forces can reduce the variation in regions of low recombination.
Recombination estimation:
Given that our sequence data are from noncontinuous gene regions, we used two methods to detect recombination.
- First, we used the four-gamete method (
HUDSON and KAPLAN 1985 ) to compute the minimum number of possible recombination events, Rm. Because Rm is an increasing function of a sample's size and is well correlated with the change of
= 4Nr (r is the rate of recombination caused by crossing over), as shown in the simulation (HUDSON and KAPLAN 1985 ), we computed the Rm density as the Rm value per kilobase of sequences per chromosome and compared with the Rm density in different regions. Because the value of Rm is dependent on the sample size, we made the comparison with other samples that have similar sample sizes with comparable levels of variation. For instance,
KREITMAN 1983 sampled 11 Adh alleles; the D. melanogaster fourth chromosome variation data are from 10 chromosomes. Both data sets have similar sample sizes compared to that of the D. simulans we used in this study (11). We show that the levels of nucleotide variation in the D. simulans fourth chromosome are not as low as previously thought; hence the comparisons among the different regions and samples under study provide insight.
- In addition, we investigated estimates of the population recombination parameter
and the rate of gene conversion f (f = g/r, where g is the probability of a conversion at a nucleotide site per generation), using the composite-likelihood method of HUDSON 2001 (see also
FRISSE et al. 2001 ). The individual D. simulans fourth chromosome loci that we sequenced from the worldwide sample were assembled into a single polymorphism table for the entire chromosome. The positions of the segregating sites were estimated from the D. melanogaster fourth chromosome sequence (
ADAMS et al. 2000 ), assuming that the distances between loci are the same in the two species. We note that the inversion on this chromosome between D. melanogaster and D. simulans involves the entire euchromatic region so that the relative gene order within the chromosome is conserved (
PODEMSKI et al. 2001 ).
The three parameters of interest are:
, the product of four times the effective population size times the per-generation recombination rate per site; f, the rate of gene conversion relative to crossing over; and t, the mean tract length of a conversion event. The model of gene conversion under which parameters are estimated is that of ![]()
both without gene conversion and with gene conversion, over a range of tract lengths. In all cases, maximum composite-likelihood estimates (MCLE) were obtained by evaluating the composite likelihood of the data over a grid of parameter values, using software provided by Richard Hudson (http://home.uchicago.edu/rhudson1). We first estimated
assuming no gene conversion. Then, to estimate
and gene conversion parameters, we evaluated the composite-likelihood statistic on a grid of 500 values of
ranging from 0.0001 to 0.0011848, which is the estimate of
obtained assuming no conversion. The grid of f was 250 values in the range 0.001 to 500. For
and f, the distances between points on the grid were geometric rather than uniform to ensure coverage of low values of the two parameters. Eleven values for t were used (50 bp and 1001000 bp in increments of 100 bp).
| RESULTS |
|---|
Levels of variation:
Fig 1 lists nucleotide polymorphism in all 12 gene regions on the fourth chromosome in 11 worldwide lines, revealing unexpected levels of variation. The average levels of variation over all 12 gene regions are
= 0.0024 and
= 0.0023. These levels are significantly higher than the reported variation in ci and ank (P < 0.0001), although they still appear to be lower than the average variation in other chromosome regions (![]()
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= 00.00086 at silent sites). Table 2 lists the probabilities under a null hypothesis that the variation levels for all these regions are from the same distributions of polymorphism for
= 0.0002 (the ci gene; ![]()
= 0.0005 (ank; ![]()
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Variation in diversity levels:
While a large proportion of gene regions are more variable than previously expected, several regions show low levels of variation. An exon region of the ci gene was previously found to have little variation: Of nine alleles for a 958-bp region, there was only one polymorphic site, a singleton (![]()
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2 = 39.58, P = 4.2 x 105) show that the nucleotide variation levels in different regions are not homogenous. These analyses indicate that the chromosome does not evolve as a single unit; rather, different regions have different histories, as we found in the D. melanogaster fourth chromosome. These conclusions derived from the worldwide sample are consistent with the five genes we analyzed from the Ecuadorian population (Fig 2). Once again, the local population revealed variable and relatively high levels of variation and a high proportion of heterozygosity at a number of sites, which is a result of a higher level of variation.
Unexpectedly high variation in the ci intron:
In contrast to the low levels of variation in the exon regions of this gene, as detected in previous work (![]()
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= 0.0087 (4 indels included). This level of variation is not significantly different from the average level of the genome (
= 0.019, P = 0.1231), in stark contrast to previous observations of exons in the same gene. The intron region is located toward centromere, whereas the exon with the low-variation region is toward the telomere. The sharp boundary between the exon and the intron reveals distinct histories of evolution in the two regions of the same gene.
Recombination and linkage equilibrium:
The four-gamete analysis (![]()
350 nucleotides in length (![]()
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Intralocus recombination events reflect rates of recombination in a given stretch of DNA better than recombination events detected between genes where only one recombination event is detectable although many additional recombination events are possible. Thus, we incorporated only six within-gene recombination events to calculate the Rm density 6/12.1 kb/11 chromosomes = 0.0451 Rm/kb/chromosome. This is 27.0% of the estimate of the moderately recombining Adh gene of D. melanogaster (0.1673 Rm/kb/chromosome; ![]()
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7, higher than that of most previously observed D. simulans genes (![]()
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We attempted to estimate the population recombination and gene conversion rates from the data, using a composite-likelihood procedure (![]()
to be 0.011848 (ln L = 5466.821254). With gene conversion, we always estimated
to be the minimum value used on the grid (
= 0.0001). Because this result suggests we did not fully explore the likelihood surface, we also evaluated the likelihood of the data for
< 0.0001 and
= 0. For values of
< 0.0001, the likelihood of the data decreases rapidly and the data are not compatible with a no-recombination model (data not shown). The effect of varying t is shown in Table 3, which suggests that the data are compatible with a range of
, conversion rates, and mean tract lengths. This is not surprising because
and f are confounded in the estimation procedure; with a fixed mean tract length, for a given set of values for
and f, another pair of values (with a higher
and lower f, or vice versa) can be found for which the probability of recombination (i.e., crossover or conversion) between two adjacent sites is identical (see Equation 1 of ![]()
are nearly an order of magnitude less than those obtained by ![]()
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We also estimated linkage disequilibrium using the correlation coefficient, r2 (![]()
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Evolutionary forces:
Our results show unexpected levels of DNA sequence polymorphism in genes on the fourth chromosome of D. simulans that were not predicted from previous reports or simple theoretical predictions. Are there any detectable forces of evolution driving the evolution of the chromosome? We considered three possible forces hypothesized in previous studies: variable neutral mutation rates, recent selective sweep, and background selection.
Divergence between D. melanogaster and D. simulans at silent sites fell well within the range of normal values for these two species (![]()
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Gene orders:
Both ![]()
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| DISCUSSION |
|---|
Variability in the D. simulans fourth chromosome:
It is clear that the D. simulans fourth chromosome is not devoid of nucleotide variation, unlike the ci locus (![]()
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Recombination:
The heterogeneity in levels of variation among different regions was shown to be highly significant. These data and analysis do not support the prevailing prediction that the entire fourth chromosome evolved as a single unit. Instead, they indicate that different gene regions have different evolutionary trajectories. To be consistent with this observation, recombination must be invoked.
The analysis of Rm revealed that the chromosome is recombining and the rate of recombination is not so low as previously assumed (![]()
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. However, the rate of recombination detected in the D. simulans fourth chromosome is too high to be explained by the level of recombination predicted from comparisons to D. melanogaster (![]()
30% higher rates of recombination in the D. simulans genome, excluding chromosome 4. Thus, the previous assumption that the fourth chromosomes in the two species are similar in the level of recombination is incorrect. Finally, the level of recombination in the D. simulans fourth chromosome is also consistent with the observed levels of variation in the fourth chromosomal genes.
The mechanisms of meiotic recombination generally include gene conversion and crossing over. ![]()
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Nevertheless, crossing over in natural populations can be hypothesized to explain a part of the detected recombination. Several observations suggest the possibility of reciprocal exchanges. One difference between crossing over and conversion is that the former can create large regions or even chromosome-wide recombination while the gene conversion usually involves a short conversion tract. The linkage relationship between the sites outside conversion tracts does not change. A nonrecombining chromosome would show chromosome-wide linkage disequilibrium. In our linkage disequilibrium analysis across the chromosome, we observed some linkage disequilibrium among distant sites and a decay of the disequilibrium among the sites of short distance (Fig 3), suggesting a role of gene conversion. However, Fig 1 reveals that some sites displaying all four gametes showed long recombination tracts. The lengths of these tracts, >100 kb, are difficult to explain as the tracts of gene conversions that are more often several hundred nucleotide long (![]()
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Evolutionary forces:
In above analyses of evolution of the fourth chromosome, the hypothesis of the neutrality that assumes variable mutation rates was excluded. The synonymous substitution rates of most gene regions (Fig 1) are from 0.0111 to 0.0178 in a normal level of between-species divergence (![]()
values for synonymous sites in the 12 gene regions are from 0.0000 to 0.0074, Fig 1). For example, the divergence levels in silent sites between D. melanogaster and D. simulans are 0.1110 in the ci-exon region and 0.0924 in an alignable region of ci intron of 277 nucleotides. However, ci exon has 0 polymorphisms in both species [in ![]()
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2 = 5.85, P = 0.0150), suggesting that the level of polymorphism in the ci-intron region is not due to an elevated mutation rate. A recent selective sweep over the whole chromosome is neither supported by the high level of variation observed in many gene regions nor supported by results of Tajima's D tests for both individual genes and the pooled chromosomal polymorphism, which are not significant. On the other hand, the possibility of background selection cannot be ruled out, as both recombination and variation are lower than the levels of the chromosome regions of normal recombination.
In the ci gene, we found that a high level of variation in introns is in sharp contrast to the low level of nucleotide polymorphism in exons. Despite the small sample size, it can be seen that the polymorphism in the intron region seems to reflect geographic origins of the isofemale lines; e.g., the three Reunion lines appear to have peculiar variations although their exons are devoid of variation. This observation questions the previous conclusion that a recent selective sweep has occurred in the ci gene (![]()
193 genes between the two species from ![]()
![]()
In this work, we revealed considerably high levels of the nucleotide variation associated with most of the genes we surveyed, suggesting that most parts of the chromosome are variable. The several low-variation regions that are scattered within the chromosome delineate the different chromosomal regions that have been governed by different evolutionary processes. Interpretation of such a level of variation with different evolutionary histories has to invoke recombination, probably crossing over. Furthermore, a level of recombination close to the Adh region of D. melanogaster was detected. The difference between D. melanogaster and D. simulans in the level of recombination is so large that the previous assumption that the chromosomes in the two Drosophila sibling species experience similar levels of recombination has to be reconsidered. Thus, our population genetic analysis demonstrates a level of recombination on the D. simulans fourth chromosome previously deemed unlikely in genetic analyses, allowing the persistence of a high level of natural variation.
| FOOTNOTES |
|---|
1 These authors contributed equally to this work. ![]()
| ACKNOWLEDGMENTS |
|---|
We thank M.-L. Wu and W. Ballard for the D. simulans strains; K. Burtis for providing the strain used in the D. melanogaster genome sequencing project; J. Locke for valuable discussion of gene orders in Drosophila; R. R. Hudson, M. Kreitman, C.-I Wu, S. Hawley, and two anonymous reviewers for stimulating discussion and suggestions; C. H. Langley and M. Kreitman for critically reading the manuscript; and D. J. Begun for sending the published polymorphism data on D. simulans. We are especially indebted to R. R. Hudson for his help in computational analysis of recombination. We thank Jeff Wall for providing recombination rate estimates for D. simulans. This work was supported by grants from the National Science Foundation (MCB9977990 and CAREER award), National Institutes of Health (R01GM065429-01A1), and David and Lucile Packard Foundation (Packard Fellowship in Science and Engineering) to M.L.
Manuscript received December 10, 2003; Accepted for publication December 23, 2003.
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