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A Survey of Chromosomal and Nucleotide Sequence Variation in Drosophila miranda
Soojin Yia, Doris Bachtrogb, and Brian Charlesworthba Department of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637-1573
b Institute of Cell, Animal and Population Biology, University of Edinburgh, King's Buildings, Edinburgh EH9 3JT, United Kingdom
Corresponding author: Soojin Yi, University of Chicago, 1101 E. 57th St., Chicago, IL 60637., soojinyi{at}midway.uchicago.edu (E-mail)
Communicating editor: S. W. SCHAEFFER
| ABSTRACT |
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There have recently been several studies of the evolution of Y chromosome degeneration and dosage compensation using the neo-sex chromosomes of Drosophila miranda as a model system. To understand these evolutionary processes more fully, it is necessary to document the general pattern of genetic variation in this species. Here we report a survey of chromosomal variation, as well as polymorphism and divergence data, for 12 nuclear genes of D. miranda. These genes exhibit varying levels of DNA sequence polymorphism. Compared to its well-studied sibling species D. pseudoobscura, D. miranda has much less nucleotide sequence variation, and the effective population size of this species is inferred to be several-fold lower. Nevertheless, it harbors a few inversion polymorphisms, one of which involves the neo-X chromosome. There is no convincing evidence for a recent population expansion in D. miranda, in contrast to D. pseudoobscura. The pattern of population subdivision previously observed for the X-linked gene period is not seen for the other loci, suggesting that there is no general population subdivision in D. miranda. However, data on an additional region of period confirm population subdivision for this gene, suggesting that local selection is operating at or near period to promote differentiation between populations.
DROSOPHILA miranda is a sibling species of D. pseudoobscura and D. persimilis, first described by ![]()
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Since then, a series of investigations have shown that the neo-sex chromosomes of D. miranda represent a remarkable intermediate stage in the evolution of sex chromosomes. More specifically, the neo-Y chromosome of D. miranda is partially degenerate, and parts of the counterpart neo-X chromosome have evolved dosage compensation (![]()
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30-fold less than that for the neo-X (![]()
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Some authors have suggested that there is a substantial amount of genetic heterogeneity between populations of D. miranda. ![]()
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Another possible type of genetic variation in D. miranda is chromosomal variation. Both of its sibling species, D. pseudoobscura and D. persimilis, have numerous inversion polymorphisms, which are particularly abundant on chromosome 3 (![]()
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It is important to characterize the extent of genetic and chromosomal variation in D. miranda and to compare it with its sibling species. This information is essential for inferring the selective forces underlying the evolution of the neo-sex chromosomes in this species, since it provides a benchmark against which the unusual patterns of DNA sequence polymorphism and evolution on the neo-sex chromosomes (![]()
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| MATERIALS AND METHODS |
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Strains used and genomic DNA preparation for polymorphism analyses:
The strains of D. miranda that were used in ![]()
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The extracted gDNA from each strain was rehydrated in 50 µl TE buffer and then electrophoresed in 1% agarose gels for the estimation of quality and quantity. For one 25-µl PCR reaction, <20 ng of gDNA sufficed for successful amplification of the final product. Among the 12 loci newly amplified in this study, 10 are expected to be on the X chromosome of the obscura group of Drosophila (see below). Therefore, except for the 2 autosomal loci Adh and sry-
, use of a single male fly should ensure homozygosity of the sequencing templates.
Genomic DNA used for the amplification of Adh was obtained in the following way, which is similar to the method used by ![]()
, the PCR product from a single male of D. miranda was used for sequencing. If we found any potentially ambiguous sites from a single PCR product, we chose gDNA from another single male fly to repeat the process until we were certain of the homozygosity of the sequences.
Polytene chromosome preparation and inversion analyses:
Larvae were reared at 18° in low-density banana medium cultures (![]()
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To identify polymorphic inversions, one line (MSH 38; see ![]()
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Primers, PCR amplification, and sequencing for polymorphism analyses:
We report new DNA sequence polymorphism data at 12 loci from D. miranda. We chose 10 genes that were expected to be located on the left arm of the X chromosome (XL), which corresponds to the ancestral X chromosome of the genus Drosophila (Muller's element A; ![]()
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). The Adh region sequenced includes the intergenic region between Adh and Adh-related (Adhr) loci and also the first exon and intron of the Adhr locus. We treat these two loci as a single unit throughout the analyses, because they are amplified as a single consecutive segment. The structure of each locus and the positions of the sequenced regions are depicted in Fig 1.
PCR primers were designed for each gene using conserved sequences inferred from the alignments of available orthologous sequences (Table 1). All sequenced regions except for Est-5 include coding regions. Usually one 25-µl PCR reaction was enough to provide templates for the subsequent sequencing reactions. For 7 of the 10 X-linked genes (excluding Est-5, run, and swa loci), the same male genomic DNA was used to generate the polymorphism data. We used Taq polymerase from Roche Molecular and Biochemicals (Indianapolis) for PCR and the BIG Dye-termination cycle sequencing kit from Perkin Elmer (Foster City, CA) for sequencing reactions. All sequences were run on an ABI 377 sequencer for both strands, using overlapping internal primers when necessary. All sequences are stored under GenBank accession nos. AY238758, AY238879.
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Localization of gene probes to D. miranda chromosomes:
PCR products from genomic DNA were extracted from 1% agarose gel using the QIAquick gel extraction kit (QIAGEN, Chatsworth, CA) and then labeled with Biotin High Prime (Roche Molecular Biochemicals) for use as a probe. Salivary glands from third instar larvae were dissected and hybridized with each probe. The hybridization procedure largely followed the protocol of ![]()
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Polymorphism and divergence data analyses:
DNA sequences were aligned using the Clustal option in the MegAlign program (part of the DNA STAR package). The highly variable region from the 3' region of the sisA gene was manually aligned using the interface of the SeqEd program, minimizing the number of insertion/deletions. Further editing was performed as appropriate for various analyses. For most of the within-population variation studies, the SITES program (![]()
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| RESULTS |
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Locations of genes surveyed in this study:
The chromosomal locations of the 12 genes whose polymorphism pattern have been reported here are shown in Fig 2. All genes were found on the chromosomes expected from the conserved chromosome arm homologies within the genus Drosophila (Table 9.4, p. 307 of ![]()
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also follows the expected chromosomal homologies (chromosome 2, homologous to 3R of D. melanogaster).
The chromosomal assignments all correspond to those in the closely related species, D. pseudoobscura (![]()
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Polymorphic inversions:
Table 2 shows the lines for which inversion loops were detected in crosses with MSH38 (see MATERIALS AND METHODS). A total of four inversions were detected, on chromosome arms XR, X2, and 2, respectively; no inversions were found on XL or chromosome 4 (Fig 2). The large inversion 2-2 was found only in association with the included inversion 2-1. Further examination of the lines themselves showed that MSH38 is segregating for inversion XR-1; out of six female larvae examined, four were heterozygous for this inversion. In good preparations, it was possible to identify the inversions XR-1, X2-1, and 2-2 in homo- or hemizygotes, using the orders of certain landmarks (prominent banding patterns and puffs). No lines other than MSH38 showed any signs of the presence of XR-1, so that it is apparently a low-frequency inversion. All six MSH38 female larvae examined for X2-1 were found to be homozygous for the standard arrangement. Similar examinations of the other strains suggests that this inversion is probably fixed in the seven lines that had been found to contain it in the test crosses with MSH38 (Table 2). This indicates that it has a frequency of
50% in the D. miranda population. Inversion 2-1 was found to segregate in the cross of line 0101.3 with MSH38, but all five larvae examined from 0101.7 (from both the testcross and the line itself) carried the inversion. It is interesting to note that ![]()
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Summary of data on DNA sequence polymorphisms, divergence, and functional constraints:
The loci surveyed in this study showed a wide range of levels of genetic diversity at the DNA sequence level (Table 3; see supplementary material at http://www.genetics.org/supplemental/ for full details of haplotypes). Both indel variants and single nucleotide polymorphisms (SNPs) were present. There are a total of 23 indel variants from seven loci, all from introns or untranscribed regions. Five loci, elav, Gapdh2, sesB, sry-
, and swa, did not show any indels. The 3' noncoding region of sisA had a region that was highly variable for complex indel variants. This corresponds to the position 10911157 of the alignment. At the run locus, all the indel variants occurred in a region surrounding a core indel of 12 nucleotides. Note that the indels are determined using the most parsimonious alignments, so that the real numbers may slightly differ from our estimates.
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We observed more than five times as many SNPs as indels. In three cases two or three adjacent SNPs were in complete linkage disequilibrium (two cases at the run locus, one at the per-new locus: see supplementary material at http://www.genetics.org/supplemental/). The mutation events that created these clusters of SNPs are unlikely to be independent events. This is inconsistent with the infinite sites model (![]()
Summary statistics on SNPs at each locus are presented in Table 3, together with the estimated numbers of nucleotide substitutions per site from D. pseudoobscura for silent sites (KS). Previous data from the per locus (![]()
2 test shows highly significant variation in KS among loci (
2 = 36.4, P < 0.0003). The variance in observed KS values is 1.75 x 10-4,
1.78 times that expected purely on the basis of sampling variation with a constant underlying KS.
We observed reasonable correlations between nucleotide site diversities and the presumed functional roles of the corresponding region. For example, the 3' noncoding region of Adh is a short intergenic region between the Adh and the Adhr locus (see Fig 1), which may include several motifs related to the expression of both Adh and Adhr (![]()
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= 0.07%) than the 3' region (
= 0.76%). When compared with the homolog from D. pseudoobscura, the 5' region was much more conserved than the 3' region, indicating either that the two regions have very different mutation rates or that the 5' region is under strong selective constraint in both D. pseudoobscura and D. miranda. The 5' region of the sisA gene surveyed in this study encodes two putative numerator sequences for the X chromosome/autosome counting mechanism (![]()
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The most polymorphic locus was run, with a value of silent site pairwise diversity (
) of 1.52%, more than twice as much as the next most variable locus, sisA. This is mainly due to its very polymorphic intron, which harbored 14 polymorphic sites within 261 bp. The pattern of SNPs within the introns of the run locus shows tight associations between many closely linked variants (see supplementary material at http://www.genetics.org/supplemental/), although the level of recombination estimated from the SNPs is fairly large (Table 4). Fu's F-statistic (![]()
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Patterns of SNP variation, neutrality tests, and the effect of recombination:
Using several different methods, we tested whether the observed patterns of SNP variation and divergence from all loci are compatible with the simple neutral model. First, we performed the HKA test (![]()
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When all the loci in Table 3 (excluding per-ori and per-new) were considered, the sum of the deviations was 17.03 (d.f. = 10, P < 0.03). The largest deviation came from the lower-than-expected number of segregating sites for the swa locus (1 observed and 5.56 expected) and to a lesser degree the higher-than-expected divergence (15.04 observed and 11.65 expected). When we excluded the swa locus from the multilocus HKA test, the sum of the deviations decreased to 12.96 and was not significant (d.f. = 9, P < 0.09). This strongly suggests that the observed deviation from the neutral model was caused mostly by the low polymorphism relative to divergence of the swa locus. The same conclusion was reached using a likelihood-ratio alternative to the HKA test (S. WRIGHT and B. CHARLESWORTH, unpublished results).
The McDonald-Kreitman test (![]()
Another class of neutrality tests focuses on the frequency distribution of mutations. We will describe the results from the Tajima's D statistic (![]()
Table 4 shows the Tajima's D statistics for each locus for all types of sites combined and for silent sites alone. Est-5 had the most negatively skewed value, with 10 singletons out of 13 SNPs. In contrast, Adh had mostly high-frequency variants, giving the most positive Tajima's D. We assessed whether the observed frequency distributions of SNPs were compatible with neutral expectation by examining the distributions of the Tajima's D statistics on the null hypothesis of neutrality and equilibrium. The variance of Tajima's D decreases with increasing recombination level among the sites in the sample (![]()
, obtained by the composite likelihood method of ![]()
In Table 4, we show the 95% confidence intervals (C.I.s) of Tajima's D for the two most extreme cases, no recombination vs. free recombination. The estimated population recombination estimate per nucleotide site for each locus and its value relative to the estimate of
from the number of segregating sites,
w (![]()
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In the sibling species to D. miranda, D. pseudoobscura, and D. persimilis, most of the genes surveyed exhibit a negative Tajima's D, which has been attributed to a recent population expansion in these species (![]()
| DISCUSSION |
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Inversion polymorphism in D. miranda:
The data reported here apparently represent the first systematic survey of chromosomal polymorphism in D. miranda. However, the dearth of wild-caught strains of D. miranda has limited the scope of this survey. The pattern of inversion polymorphism is different from that of the sibling species of D. miranda, D. pseudoobscura, and D. persimilis, in which autosomal inversion polymorphisms are largely confined to the highly polymorphic chromosome 3 (![]()
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In both D. pseudoobscura and D. persimilis, chromosome arm XR shows inversion polymorphisms associated with the SR meiotic drive system; we have found only a single medium-size, proximal inversion at low frequency on this chromosome arm in D. miranda. The standard arrangement of XR in D. miranda, however, shows high homology to the standard XR arrangement in D. pseudoobscura, except for a distal inversion (![]()
In contrast to the situation for D. pseudoobscura and D. persimilis, D. miranda has inversion polymorphisms on chromosome 2. As is often found in the obscura group (![]()
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The presence of these inversion polymorphisms raises the question of what effect they might have in distorting the pattern of nucleotide sequence polymorphism at loci that are either inside the region covered by the breakpoints or sufficiently close to the breakpoints to experience suppressed recombination in heterokaryotypes (![]()
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Indeed, some effects of the X2-1 inversion on patterns of nucleotide sequence polymorphism at eve can be detected. Silent site diversity
at eve is about twice as high for individuals carrying the inverted chromosome compared to the standard arrangement (
= 1.39% vs.
= 0.68%). Of the 27 segregating sites at eve, 1 is in significant linkage disequilibrium with the inversion by Fisher's exact test, and 3 by a
2 test at the 5% significance level (none of these associations, however, remains significant after a sequential Bonferroni correction). Nevertheless, there are no fixed differences between the inverted and the standard class at eve, and the polymorphism data show evidence for recombination between the standard and the inverted chromosomes. Tests of population subdivision indicate some differentiation between the standard and inverted arrangement (significance levels were assessed using a permutation test as implemented in the DNAsp program). Hudson's Snn statistic (![]()
The effective population size of D. miranda compared to other Drosophila species:
The level of silent site diversity based upon the number of segregating sites (
w) is an unbiased estimator of 4Neµ under the infinite sites neutral model (![]()
w values, given an estimate of µ. This is of importance, since some models of the degeneration of the neo-Y chromosome are very sensitive to the value of Ne (![]()
w for silent sites for the set of X-linked genes in Table 3 is 0.51%. ![]()
, using Equation 12 of ![]()
. Using this method (which assumes the same value of
for all loci), we obtained a maximum-likelihood estimate (MLE) of
for silent sites of 0.53% for the 11 X-linked genes that we have investigated (95% C.I. 0.380.74%); this agrees closely with the other estimate.
How, then, does the Ne of D. miranda compare to that for other Drosophila species? If we assume a constant rate of neutral mutation across the genus (although this is rather questionable), the relative values of
w for silent sites from different species indicate the corresponding relative Ne values. Table 5 summarizes the results for several Drosophila species. Clearly, the overall level of genetic variation in D. miranda is much lower than that of its sibling species D. pseudoobscura. On the basis of relative
w values, we conclude that there is a four- to sixfold reduction of Ne in D. miranda compared to D. pseudoobscura. The difficulty in collecting wild D. miranda (see Introduction) is consistent with a low population size for D. miranda. Genetic diversity is also lower in D. miranda than in D. melanogaster and D. simulans (synonymous diversity in D. pseudoobscura is similar to that of African D. simulans; Table 5). When we compared the genetic diversity of X-linked genes, for which a fair amount of data is from D. miranda, Ne seems to be approximately one-half that of non-African D. melanogaster, while it is several-fold lower than that of D. simulans. Considering that Ne for D. simulans is estimated to be in the millions (![]()
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Interestingly, Table 5 shows little difference in variability levels between X-linked and autosomal loci in both D. miranda and D. pseudobscura, as is also the case for African populations of D. simulans and D. melanogaster (![]()
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The effective population size of the neo-X chromosome and its implications for the evolution of dosage compensation:
Interestingly, the MLE of
for six neo-X-linked loci (![]()
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for X-linked loci. Microsatellite data also show very similar levels of variability on the X chromosome and the neo-X chromosome (![]()
This is particularly relevant to the fact that many loci on the neo-Y chromosome are degenerating (![]()
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w on the neo-X chromosome is not smaller, nor is the variance of
w among loci on the neo-X larger, than that on the X. This does not support multiple selective sweeps on the neo-X chromosome. Indeed, recent evidence suggests that dosage compensation in Drosophila does not evolve on a gene-by-gene basis, as previously believed, but rather involves relatively large blocks of genes (![]()
Population subdivision in D. miranda and the behavior of FST statistics:
Data from a 1480-bp region from the per locus provided the first DNA sequence variation data for D. miranda (![]()
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First, to determine whether the observed differentiation between the British Columbian population and the other Northern American populations is a pattern common to all loci, we estimated the FST statistics for the difference between these samples for all the loci with available SNP data (using the method of ![]()
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This raises the question of whether the pattern of between-population differentiation for the per locus reflects the effects of local selection at per on sites linked to the targets of selection (![]()
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The per region seems to be experiencing a considerable amount of recombination. The scaled recombination parameters for the two regions differ by threefold (Table 4) when estimated by Hudson's composite-likelihood method (![]()
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For simplicity, we used the concatenated data set to obtain an approximate estimate of the recombination parameter for the whole region, which encompasses 2888 nucleotides, excluding gaps in the alignment [note that the composite-likelihood method (![]()
To investigate the behavior of FST in relation to the per data, we first took the average FST value of 0.07 for loci excluding per (see above) and computed an estimator of Nm = 3.22 from the formula for FST for a pair of populations of size N exchanging genes at rate m (![]()
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The above results suggest that the per locus is under some form of selection, probably involving selection in different directions in the two localities (see above). Tests of neutrality such as Tajima's D, however, did not detect such selection. Given that the extent of recombination at this locus is not completely understood, this does not reject the presence of selection. One relevant piece of information is the result of the McDonald-Kreitman test (![]()
| FOOTNOTES |
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Sequence data from this article have been deposited with the EMBL/GenBank Data Libraries under the accession nos.
AY238758,
AY238879. ![]()
| ACKNOWLEDGMENTS |
|---|
We thank Molly Przeworski and Eli Stahl for providing the codes to compute the FST from a simulated data set, Stephen Wright for running the likelihood-ratio tests, and Dick Hudson for discussions. S.Y. was funded by the National Science Foundation Doctoral Dissertation Improvement grant DEB-9701098 during the course of this research. B.C. is supported by the Royal Society and D.B. by a European Molecular Biology Organization postdoctoral fellowship.
Manuscript received December 31, 2002; Accepted for publication March 5, 2003.
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