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* Department of Biology, McMaster University, Hamilton, Ontario L8S 4K1, Canada,
Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138,
Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853 and
Department of Biology, University of Winnipeg, Winnipeg, Manitoba R3B 2E9, Canada
3 Corresponding author: Department of Biology, McMaster University, 1280 Main St. West, Hamilton, ON L8S 4KI, Canada.
E-mail: singh{at}mcmaster.ca
| ABSTRACT |
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Despite the importance of these conclusions, their generality remains questionable, as previous studies examined sequence divergence within a limited set of genes in a small number of species. Such studies reported that genes expressed in the testis and genes encoding seminal fluid proteins include many that evolve rapidly (BEGUN et al. 2000, 2006; SWANSON et al. 2001; HOLLOWAY and BEGUN 2004; KERN et al. 2004; ZHANG et al. 2004; BEGUN and LINDFORS 2005; MUELLER et al. 2005; WAGSTAFF and BEGUN 2005a; SCHULLY and HELLBERG 2006). Many female reproductive proteins have also been shown to evolve faster than non-sex-specific proteins (CIVETTA and SINGH 1995; JANSA et al. 2003; SWANSON et al. 2004; JAGADEESHAN and SINGH 2005). Certain genes encoding seminal fluid and testis proteins in D. melanogaster appear to have evolved so rapidly that they lack detectable orthologs in other Drosophila species (SWANSON et al. 2001; MUELLER et al. 2005; BEGUN et al. 2006; LEVINE et al. 2006).
The sequencing, assembly, and subsequent annotation of the 12 Drosophila genomes (ADAMS et al. 2000; RICHARDS et al. 2005; DROSOPHILA 12 GENOMES CONSORTIUM 2007) have provided an important new tool for answering evolutionary questions. For example, we stand to learn how sexual systems have changed over time and what genes characterize male and female specialization. Moreover, profiling genetic divergence within the context of gene evolutionary history and function will help elucidate which, among the vast number of rapidly evolving reproductive genes, show adaptive evolution. Several rapidly evolving genes are expressed in more than one tissue (JAGADEESHAN and SINGH 2005) and it is known that there are differences in the evolutionary rates of tissue-specific and shared genes (KHAITOVICH et al. 2005). Therefore, it would be interesting to know how specificity, with respect to tissue expression and/or function, influences the rates of evolution of such genes.
In this study, we take advantage of the fully sequenced genomes of 12 Drosophila species (DROSOPHILA 12 GENOMES CONSORTIUM 2007) and of a larger, more comprehensive functional set of gene annotations (including genes that were recently identified through microarray and proteomic approaches) than previously analyzed. Using aligned orthologs from these species, we investigate the nature of divergence of the following categories of SRR genes among 12 species from the genus Drosophila, including 6 species of the melanogaster group (Table 1):
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| MATERIALS AND METHODS |
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venky/AAA/freeze_20061030/protein_coding_gene/GLEANR/alignment/).
Genes encoding seminal fluid proteins or expressed in the female reproductive tract:
For genes encoding proteins present in the seminal fluid, we focused on a stringently selected set of 68 SFP genes (supplemental Table 1 at http://www.genetics.org/supplemental/), the majority of which encode proteins with a predicted secretion signal sequence, and all of which show male-biased expression with enrichment either in accessory glands (MONSMA and WOLFNER 1988; WOLFNER et al. 1997; SWANSON et al. 2001; HOLLOWAY and BEGUN 2004; MUELLER et al. 2005; WALKER et al. 2006; CHINTAPALLI et al. 2007) or in the ejaculatory duct or bulb (Est-6: LUDWIG et al. 1993; Andropin: SAMAKOVLIS et al. 1991; Gld: CAVENER et al. 1986; PEB-ME: LUNG and WOLFNER 2001; Dup99B: SAUDAN et al. 2002). Evolutionary rates of 25 of these 68 seminal protein genes were estimated using the six fully sequenced genomes of the melanogaster species group; orthologs of the other 43 genes either were not identified in one or more species or have undergone gene duplication and were therefore not included. In addition to analyses on this stringently selected set of SFP genes, we examined evolutionary rates for an independent set of 43 potential SFP genes found to have accessory-gland-enriched expression in microarray experiments (supplemental Table 1; CHINTAPALLI et al. 2007; RAVI RAM and WOLFNER 2007). These are considered "potential Acps" because their accessory-gland enrichment has not been verified by other means. Of these 43 loci, 18 were detectable in all six species and hence were included among the genes analyzed with PAML.
For female reproductive tract proteins, we analyzed two data sets of genes expressed in somatic tissues of the female reproductive tract: female reproductive tract ESTs (SWANSON et al. 2004) and genes identified in microarray and proteomic screens of the female lower reproductive tract (MACK et al. 2006). The total list of FRTP genes (supplemental Table 1 at http://www.genetics.org/supplemental/) consisted of 958 genes; of these, 679 were analyzed using PAML (DROSOPHILA 12 GENOMES CONSORTIUM 2007; A. M. LARRACUENTE, T. B. SACKTON, A. J. GREENBERG, A. WONG, N. D. SINGH, D. STURGILL, Y. ZHANG, B. OLIVER and A. G. CLARK, unpublished results). This set of genes includes many with non-tissue-specific expression, as well as a number of genes with nonreproductive functions (e.g., housekeeping genes) and as such is not strictly comparable to the SFP data set. Since proteins with extracellular or cell-surface localization are more likely to interact directly with male SFPs and sperm proteins, we divided female reproductive tract genes into those with (246/679) or without (433/679) a predicted secretion signal sequence and/or predicted transmembrane helices for some analyses. A total of 8 genes were found to be characterized in both SFP and FRTP data sets.
Genes involved in spermatogenesis and oogenesis:
A total of 417 genes involved in gametogenesis were identified on the basis of gene ontology searches via TermLink (FlyBase FB_2006_01). Of these, 102 are predicted to play a role during the development and/or maturation of sperm and are collectively referred to as spermatogenesis genes (of which 29 are included in our testis EST data set). A total of 292 are genes expected to function during the development of eggs and are collectively referred to as oogenesis genes (of which 30 are included in our ovary EST data set). Twenty-three genes are predicted to be part of both processes. Divergence data in the six D. melanogaster group species were available for a total of 73 spermatogenesis and 226 oogenesis genes among which 21 are found in both processes.
Genes expressed in testis, ovary, and/or head:
A total of 532,583 ESTs from various D. melanogaster cDNA libraries were collected and collated according to their tissue of expression (UniGene, http://www.ncbi.nlm.nih.gov/). Selecting only those sequences that map onto the 13,733 annotated genes, a total of 25,884 ESTs were from a testis library, 6442 ESTs were from an ovary library, and 21,372 ESTs were from a head library, respectively, representing 4439, 2386, and 5036 genes from each tissue (supplemental Table 1 at http://www.genetics.org/supplemental/). Genes were assigned to different categories according to their expression specificity: testis specific, ovary specific, head specific, testis related (testis and head), ovary related (ovary and head), sex tissue shared (ovary and testis), or expressed in all three organs. Using the D. melanogaster genome, a total of 2631 genes were classified as expressed in testis and/or in ovary, including 1741 testis-specific genes, 556 ovary-specific genes, and 334 genes expressed in both organs. Using only genes with orthologs in all six species of the melanogaster group, 5156 genes with tissue EST information (Table 2) were analyzed using PAML (DROSOPHILA 12 GENOMES CONSORTIUM 2007; A. M. LARRACUENTE, T. B. SACKTON, A. J. GREENBERG, A. WONG, N. D. SINGH, D. STURGILL, Y. ZHANG, B. OLIVER and A. G. CLARK, unpublished results), including 1400 head-specific genes, 297 ovary-specific genes, 1102 testis-specific genes, and 246 genes shared by testis and ovary. Note that testis- or ovary-specific genes are not all necessarily or directly involved in reproduction and sex but do specifically relate to the male or female reproductive organs. Similarly, the head-specific gene set may include genes involved in courtship behavior and other reproductive functions, but will also include other genes with no role in reproduction. Evolutionary rates between the different organ categories were compared using a Tukey HSD test.
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Orthology of sex and reproduction-related genes:
Due to lack of annotation or gene expression information for most of the genes in sequenced species other than D. melanogaster, we assigned function/expression for each gene on the basis of data available in D. melanogaster.
We used a reciprocal best-hit BLAST approach (using an e-value cutoff of 1e-03) to identify putative orthologs for male-biased genes (n = 1782, without SFPs), female-biased genes (n = 782, without FRTPs), and sex-biased genes (genes expressed in both testis and ovary and/or involved in both spermatogenesis and oogenesis; n = 355) (without SFP- or FRTP-encoding genes). Genes were classified according to either of two criteria: (1) the gene was associated with one of the GO terms, spermatogenesis, spermiogenesis (for male reproductive), or oogenesis (for female reproduction) or (2) when blasted against the tissue EST databases, the gene sequence had hits of at least one described EST in either testis or ovary but not in the head. A total of 9921 genes that did not fit these criteria and were not coding for SFPs or FRTPs were classified as non-SRR genes. In addition, we analyzed 68 SFP and 958 FRTP genes. Proportions of genes in the different categories (male, female, SFPs; FRTPs, and non-SRR) in D. grimshawii were compared using a
2 test as this species is the sequenced species most distant from D. melanogaster.
| RESULTS |
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A larger proportion of D. melanogaster testis, spermatogenesis genes, and seminal fluid protein-encoding genes lack detectable orthologs in other species relative to ovary and oogenesis or non-SRR genes (
2 tests in D. grimshawii: P < 0.05 in all comparisons, a Bonferroni correction was applied; Figure 1), while differences in the proportion of genes lacking detectable orthologs in D. grimshawii were not significant between ovary and oogenesis genes and non-SRR genes (
2 = 3.23, d.f. = 1, P = 0.362, a Bonferroni correction was applied; Figure 1). The percentage of SFP genes with orthologs decreases with increasing phylogenetic distance from D. melanogaster and falls below 50% in D. grimshawii (Figure 1). Since many SFP-encoding genes are small, and thus may not be detected using gene-prediction algorithms, we conducted additional tblastn searches against the genome assemblies of all 11 non-melanogaster species. At a fairly liberal BLAST cutoff of 0.1, additional best reciprocal hits were recovered for a number of SFPs in several species. In the most extreme case, an additional 11 hits (16%) were found for D. willistoni (supplemental Table 3 at http://www.genetics.org/supplemental/). Nonetheless, even if all of the additional hits indicate true orthologs, it is still the case that fewer melanogaster SFPs have detectable orthologs in each species in comparison to the other gene classes. In contrast, genes encoding FRTPs do not show such signs of decreasing orthology across divergence time as there is no difference in the rate of gain/loss of FRTP orthologs in comparison to ovary and oogenesis genes or non-SRR genes (
2 = 4.73 and 0.02, d.f. = 1, P = 0.178 and 1, respectively; a Bonferroni correction was applied; Figure 1). Although we have not performed synteny tests here, our ortholog detection rate for a test case of a subset of the SFP genes (51 SFPs between D. melanogaster and D. pseudoobscura) matches the ortholog detection rate on the basis of synteny comparisons in a whole-genome analysis (MUELLER et al. 2005). We therefore believe that different rates of gain or loss between species account for the majority of our observations, such that different species of Drosophila use different complements of SFPs and, to a lesser extent, testes-expressed genes. These data are consistent with previous studies finding novel SFPs in other Drosophila species (BEGUN and LINDFORS 2005; WAGSTAFF and BEGUN 2005a; BEGUN et al. 2006).
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Sex-tissue-expressed genes:
Using 8509 genes with identified orthologs in the six D. melanogaster subgroup species, including 5156 with EST annotations (see MATERIALS AND METHODS), we analyzed the proportions of genes under each tissue classification (supplemental Figure 1 at http://www.genetics.org/supplemental/). There is a greater proportion of head- and testis-specific genes as compared to ovary-specific genes (
2 = 84.04 and 52.76, d.f. = 1, P = 0 and 0 for the comparison with head- and testis-specific genes, respectively; a Bonferroni correction was applied).
First, we looked at whether there was a relationship between tissue(s) of expression (testis, ovary, and head) and sequence divergence using the assumption of a single nonsynonymous substitution per nonsynomous site over synonymous substitution per synonymous site ratio (
) per gene (PAML, model M0; YANG and NIELSEN 2002). As previously reported in other organisms (TORGERSON et al. 2002; KHAITOVICH et al. 2005), we found a significant relationship between tissue(s) of expression and patterns of sequence evolution. Tissue-specific genes (testis, ovary, and head specific) showed a higher average number of nonsynonymous substitutions per nonsynonymous site (dN) and
across lineages relative to genes expressed in two or three tissues (Tukey HSD test, P < 0.001). Genes shared between two tissues are evolving faster than genes expressed in all three tissues (Figure 2A; Tukey HSD test, P < 0.001). In addition, among genes shared by two tissues, testis-related genes (i.e., testis and head) are evolving faster (higher average dN) than ovary-related genes (i.e., ovary and head) (Figure 2A; Tukey-HSD test, P < 0.001). Testis-specific genes are evolving far more rapidly than ovary- and head-specific genes as well as shared genes by both dN and
(Figure 2A; Tukey HSD test, P < 0.01 in all comparisons). Testis-specific genes are overrepresented among the top 10% most rapidly evolving genes (by virtue of
rank order) relative to the observed proportions among the 5156 genes with information on tissue expression (Figure 2B;
2 = 76.78, d.f.= 1, P = 0; a Bonferroni correction was applied). In contrast, head-specific genes expressed in both ovary and head, as well as genes common to all three tissues, are significantly underrepresented in the top 10% (Figure 2B;
2 = 11.41, 11.22, and 29.17; d.f. = 1; P = 5.11 x 10–3, 5.66 x 10–3, and 0 for head-specific genes, genes expressed in both ovary and head, and genes expressed in the three tissues, respectively; a Bonferroni correction was applied). These results reflect earlier reports of the molecular dimorphism between male and female transcriptomes at the divergence level (see ANDREWS et al. 2000). These results also indicate that breadth of tissue expression and rates of molecular evolution are tightly linked to each other and that testis genes, regardless of their breadth of expression, are evolving faster than genes expressed in head and/or ovary.
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for 25 SFP encoding loci examined in the melanogaster species group is significantly higher (0.169; 95% C.I.: 0.116–0.221) than the median for non-SFP genes (0.087; 95% C.I.: 0.086–0.089; P = 0.0004, Wilcoxon rank-sum test). Among the 10% most rapidly evolving genes, SFP genes are significantly overrepresented compared to the total data set (Figure 2B;
2 = 19.83; d.f. = 1; P = 8.5 x 10–6).
In contrast to the above results, genes expressed in the female reproductive tract, excluding the ovary, show a lower rate of protein evolution than do genes expressed in male reproductive tissues or in nonreproductive tissues. The median
for female reproductive tract genes across the melanogaster species group is 0.061 (95% C.I: 0.056–0.065) vs. 0.090 for the rest of the genome (0.088–0.092; P < 0.0001, Wilcoxon rank-sum test). Limiting the analysis to FRTP genes predicted to encode secreted or transmembrane proteins (which are more likely to interact with proteins transferred from the male) results in a slightly higher median
(0.069, 0.061–0.076); however, this is still significantly lower than the genomewide average (P < 0.001). Similarly, FRTP genes are underrepresented among the 10% most rapidly evolving genes (Figure 2B;
2 = 26.55; d.f. = 1; P = 3.0 x 10–7).
Our data also show that genes involved in spermatogenesis have experienced faster rates of evolution relative to genes involved in oogenesis (Figure 2A) due to a significantly greater relative proportion of nonsynonymous substitutions (Wilcoxon rank-sum test, P = 0.037). Spermatogenesis genes are overrepresented among the 10% most rapidly evolving genes (Figure 2B;
2 = 5.08; d.f. = 1; P = 0.024), while oogenesis genes are not (Figure 2B;
2 = 3.03; d.f. = 1; P = 0.081).
Lineage-specific effects:
Testis-specific genes show significantly higher dN relative to ovary- or head-specific genes (Figure 2C; Tukey HSD test, P < 0.05) in all the lineages analyzed (D. melanogaster, D. simulans, D. sechellia, D. yakuba, D. erecta, and D. ananassae). It is also noteworthy that in older lineages (yakuba clade and D. ananassae), testis-specific genes also show a greater average rate of synonymous substitutions (dS, Figure 2C; Tukey HSD test, P < 0.05).
Using a free-ratio model allowing
to vary in the different branches of the phylogeny (YANG and NIELSEN 2002) and a 5% false discovery rate (FDR), we tested if the estimated
for each branch was significantly higher than those estimated for the other branches. We observed a greater proportion of testis-specific genes with greater
in the internal branch leading the melanogaster clade relative to head-specific genes in the same branch (Figure 3A;
2 = 5.78, d.f. = 1, P = 0.016) as well as ovary-specific genes when compared to head-specific genes (Figure 3A,
2 = 14.61, d.f. = 1, P = 1.32 x 10–4). Furthermore, the same proportions of testis- and ovary-specific genes are observed on this branch (
2 = 3.57, d.f.= 1, P = 0.059). However, in the branch leading to D. yakuba and D. erecta, we observed no significant differences in the proportions of testis- or ovary-specific genes with greater
when compared to head-specific genes (
2 = 0 and 0.56; d.f. = 1; P = 1 and 0.45, respectively).
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in these lineages, although this elevation of
appears to be slightly more prevalent among SFP genes. The genomewide elevation in
that we observed may have arisen if the common ancestor of D. yakuba and D. erecta had a smaller effective size (Ne), such that nearly neutral amino acid polymorphisms were fixed by drift at a higher rate than in other lineages with larger Ne. We emphasize, however, that this hypothesis is purely speculative for the time being. In a branch model, whereby
is allowed to vary in one or more prespecified lineage(s), 7/25 SFP genes (28%) show evidence for an elevated
in the D. erecta/D. yakuba clade at a 5% FDR, although this is not significantly different from a genomewide trend toward an acceleration in this clade [non-SFP or FRTP genes: 1432/7795 (18%); P = 0.20, Fisher's exact test]. By comparison, at most two SFP genes show similar evidence for elevated
on any other branch. In addition to analyses of this stringently selected set of SFP genes, we examined evolutionary rates of an independent set of 43 potential SFP genes (CHINTAPALLI et al. 2007; RAVI RAM and WOLFNER 2007). Using data available for the 18 that are found in all six species, we found results consistent with those for the 68 stringently selected genes above: a high fraction show evidence of accelerated divergence along the yakuba/erecta (4/18 at a 5% FDR) lineage. Female reproductive tract genes show a lower proportion of genes with accelerated evolution in the yakuba/erecta clade than do non-SFP and non-FRTP genes (Fisher's exact test: P = 0.03; Figure 3C); 101 of 671 FRTP genes (15%) show evidence for such an acceleration.
We found significant heterogeneity in the proportions of genes with elevated
along branches for genes of oogenesis (
2 = 63.59, d.f. = 7, P = 0) as well as for genes involved in spermatogenesis (
2 = 30.18, d.f. = 7, P = 8.8 x 10–5) (Figure 3D). However, when applying a Bonferroni correction, only spermatogenesis genes show heterogeneity in the proportion of genes with elevated
along branches (spermatogenesis:
2 = 33.3, d.f.= 7, P = 2.33 x 10–5; oogenesis:
2 = 11.9, d.f. = 7, P = 0.1039). We also found a greater proportion of spermatogenesis genes with higher
in the branch ancestral to the melanogaster clade (D. melanogaster, D. simulans, and D. sechellia) (Figure 3D). This indicates a significant acceleration of
for spermatogenesis genes along the branch ancestral to the melanogaster clade relative to the rest of the genome. We also observed a greater proportion of nonsynonymous changes in spermatogenesis genes due to accelerated evolution in deeper branches of the phylogeny but not along the D. simulans and D. sechellia branches (Figure 4). A comparison of P-values obtained from tests of selection along the branch ancestral to the melanogaster clade shows that genes involved in spermatogenesis have a significantly lower average P than all other nonspermatogenesis genes in the genome (randomization test: P = 0.0053; P = 0.73 when using only genes with
higher in the foreground branch than in the background branches). This result indicates a significant acceleration of
for spermatogenesis genes along the branch ancestral to the melanogaster clade relative to the rest of the genome.
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2 = 1.68, d.f. = 2, P = 0.432). When branch-site models were included, relatively similar proportions of genes in testis (16.61% at a 5% FDR), ovary (13.35%), and head (16.14%) showed evidence of positive selection (
2 = 1.77, d.f. = 2, P = 0.413; supplemental Tables 4–6 at http://www.genetics.org/supplemental/). Among testes-specific genes demonstrating positive selection, there are 3 genes involved in meiosis (comr, mei-P26, sunz) and 16 genes involved in transcription. Likewise, among genes expressed in the ovary, genes involved in meiosis are also found to be evolving under positive selection (pan, rec, shtd) as well as ovo, which demonstrates evidence of positive selection in the yakuba–erecta lineage. Among genes expressed specifically in the head showing evidence for positive selection, we found some genes involved in behavior (learning, courtship, olfactory, or locomotor) such as Galpha49B, PKa-R1, Sh, slo, sol, or to. Furthermore, 21 genes are also described to be involved in the formation of the nervous system or in its activity (neurotransmitters, neuropeptides). According to gene ontologies (FB_2006_01), several genes expressed in the ovary, testis, or head are also involved in the defense response (ced-6, CG10359, CG31146, CG9631, Dcr-2, Dredd, Egfr, ics, r2d2). Of the 25 SFP genes examined in the melanogaster species group, 4 showed evidence of positive selection at a 5% FDR (Table 3, "M8vsM7" in the "Model" column) under the assumption that evolutionary rates are the same in all branches (the M8 vs. M7 model comparison). The proportion of SFPs showing evidence for positive selection in this analysis (16%) is higher than the genomewide (non-SFP or FRTP) average of 5.98%, although not statistically significant (P = 0.06, one-tailed Fisher's exact test). At a less stringent 10% FDR, 6 of 25 SFP genes show evidence of positive selection, which is significantly more than expected, given the genomewide average (P = 0.04, one-tailed Fisher's exact test). We note that the non-SFP group also includes other classes of genes likely to have experienced high levels of positive selection, e.g., immunity genes. The four SFP genes inferred to be under positive selection in this analysis include two predicted regulators of proteolysis (CG4847, a predicted cysteine protease, and CG32203, a predicted protease inhibitor), as well as a predicted protein disulfide isomerase (Pdi). The fourth gene, Acp32CD, has no known function. Physiological or behavioral functions have not been assigned to any of these genes.
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both across lineages and at different codons (YANG and NIELSEN 2002), demonstrate evidence for a burst of positive selection in the yakuba–erecta lineage among SFPs. In tests where the internal branch or branches leading to D. erecta and D. yakuba, as well as the terminal branches ending in these species, are allowed to evolve independently of other lineages, 9 of 25 (36%) SFP genes show evidence for positive selection on a subset of codons in this lineage, while
7% of non-SFP or FRTP genes show similar patterns at a cutoff of P < 0.05 (P = 0.027, two-tailed Fisher's exact test) (Table 3, "BS (yak/ere)" in the "Model" column). Using a randomization test, we observed that SFP genes tend to have significantly smaller P-values from the yakuba/erecta branch-sites analysis than do FRTP genes (P < 2.2 x 10–16) or genes not expressed in reproductive tracts or seminal fluids (P = 0.001). Thus, positive selection appears to drive accelerated amino acid evolution along these branches. Given the hypothesis that sexual selection underlies positive selection on some SFP genes, it is tempting to postulate that differences in postcopulatory events along the erecta and/or yakuba lineages may account for the lineage-specific patterns that we observed. Interestingly, the yakuba lineage (D. yakuba and D. erecta) differs from the melanogaster lineage (D. melanogaster, D. simulans, D. sechellia) also with respect to the male reproductive morphology involved in genital coupling (JAGADEESHAN and SINGH 2006). We find no differences in the proportion of genes that have undergone positive selection between genes expressed in the female reproductive tract and non-SRR genes. Female reproductive tract genes (6.26%) show evidence for positive selection in a subset of codons across the entire melanogaster species group (M8 vs. M7, at a 5% FDR), which does not differ from the nonfemale reproductive tract average of 5.98% (P = 0.74, two-tailed Fisher's exact test). The 42 FRTP genes inferred to have experienced positive selection encompass a broad range of predicted functions; of particular note are several predicted proteases (CG10824, CG11861, CG3074, CG7415).
Comparisons of the M8 vs. M7 site and the branch-site models in PAML provide evidence for positive selection for a variety of genes involved in gametogenesis (Table 4). While genes involved in oogenesis show lower rates of evolution than spermatogenesis genes (Figure 4), many show evidence of positive selection (supplemental Table 7 at http://www.genetics.org/supplemental/). Similarly, tests of selection using DNA sequence polymorphism in D. melanogaster and divergence to D. simulans have found that female-biased genes do not show the same consistent signal of positive selection that is observed for male-biased genes (PROSCHEL et al. 2006). Of 16 genes involved in gametogenesis showing evidence of positive selection, 5 of them are involved in spermatid individualization or differentiation (poe, Fmr1, didum, Dredd, Nc) and 2 are involved in the early steps of meiosis (can, comr). Furthermore, according to gene ontology annotation, 16 of 47 oogenesis genes showing evidence of positive selection (supplemental Table 7) are involved in egg-shell formation among which we observed three chorion proteins (Cp15, Cp16, Cp18) and one vitelline membrane protein (Vm32E) that were previously reported to be rapidly evolving and for which interaction with sperm or environment have been suggested to be driving the observed rapid evolution (JAGADEESHAN and SINGH 2007).
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| DISCUSSION |
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Our analyses show that there are distinct differences in the evolutionary dynamics of SRR genes. Among the various categories of SRR genes (see Table 1), genes expressed in testis and male reproductive tract secretory tissues (that contribute to seminal fluid) show higher rates of gain in D. melanogaster or loss in other species compared to genes not expressed in sex tissues. Male tissue-specific genes evolve faster on average than female tissue-specific genes with the former also showing apparent gain/loss of orthologs. The greater proportion of male D. melanogaster reproductive genes lacking detectable orthologs in distantly related Drosophila species suggests a higher rate of gain/loss. This may be due to lineage-specific duplications or faster rates of new genes being co-opted into reproductive functions, leading to loss of orthology due to various selective pressures (TRUE and CARROLL 2002; RANZ et al. 2003; METTA et al. 2006). Alternatively, lost orthology may be a result of faster sequence divergence of male reproductive genes as previously observed between D. melanogaster and D. pseudoobscura (MUELLER et al. 2005; MUSTERS et al. 2006). Nonetheless, as argued above (see RESULTS), we believe that different rates of gene gain and loss are the most likely explanation.
The recently reported D. melanogaster sperm proteome has revealed that there has been a significant proportion of duplications among sperm protein genes (DORUS et al. 2006), which could fuel rapid evolution across species. However, in comparisons between D. melanogaster and D. simulans, DORUS et al. (2006) found that more than half of the sperm proteome genes had dN values <0.01, suggesting that selection is constraining the evolution of structurally and functionally important genes. A total of 215 of 342 genes from DORUS et al.'s (2006) study are found in our data set. Our testis-specific genes have a significantly higher
(0.116; 95% C.I.: 0.1100–0.1225) than the 215 genes coding for sperm proteins (0.0735; 95% C.I.: 0.0656–0.0816) (Wilcoxon rank-sum test, P < 0.001). We found results similar to DORUS et al. (2006) in comparisons across the six species of the melanogaster group, with SFP genes having significantly higher dN than other genes in our testis data set (Tukey HSD test, P < 0.05 in all comparisons) with the exception of genes involved in proteolysis (Tukey HSD test, P > 0.05) and genes of unknown functions (Tukey HSD test, P > 0.05). It is therefore clear that, although male SRR genes have evolved faster than other genes on average, genes with roles in specific sperm structures and functions remain constrained in their rates of evolution.
In view of previous studies showing rapid evolution of some genes expressed in ovary (CIVETTA and SINGH 1995; JAGADEESHAN and SINGH 2005) or in the female reproductive tract (SWANSON et al. 2004; PANHUIS and SWANSON 2006; LAWNICZAK and BEGUN 2007), it is surprising that the female reproductive transcriptome appears more constrained than the male reproductive transcriptome in terms of both evolutionary rates and preservation of detectable orthology across species. However, the majority of such comparative studies were performed between closely related species, and our genomewide comparison across six species shows that rates of nonsynonymous substitutions are more similar between testis–ovary and spermatogenesis–oogenesis genes along younger phylogenetic branches (D. simulans and D. sechellia). Differences between previous protein-based studies (CIVETTA and SINGH 1995) and our protein sequence comparisons of the evolutionary rate of female SRR genes (more particularly, FRTP encoding genes) also raise the interesting possibility that perhaps the previous high proportion of protein changes found in the ovary might relate to an overrepresentation of species-specific post-translational changes. This is a particularly interesting possibility in light of recent studies showing that female physiological changes occurring shortly after mating are unlikely to be the result of changes in gene expression (MCGRAW et al. 2004; MACK et al. 2006).
Sexual selection has been shown to drive the rapid and divergent evolution of genital morphology (EBERHARD 1985; ARNQVIST 1998; SIROT 2003; HOSKEN and STOCKLEY 2004; JAGADEESHAN and SINGH 2006), sperm morphology (SIVINSKI 1980; MILLER and PITNICK 2002; JOLY et al. 2004), seminal proteins transferred in the ejaculate (SWANSON et al. 2001; MUELLER et al. 2005), and genes coding for proteins involved directly in the process of fertilization (SWANSON and VACQUIER 2002). Two main hypotheses have been put forward to explain how interactions between the sexes could have shaped the rapid evolution of male reproductive traits and genes: cryptic female choice (EBERHARD 1996) and the sexual arms race, in which a fitness advantage for one sex appears to be harmful to the other (RICE 2000; CHIPPINDALE et al. 2001). A recently proposed theory, male sex drive (SINGH and KULATHINAL 2005), attributes the faster evolution of male traits to the reasoning that any trait enhancing male fitness will be under strong positive selection. Newly evolved genital traits (JAGADEESHAN and SINGH 2006), retroposition of male-specific genes from the X to the autosomes (BETRAN et al. 2002; LONG et al. 2003), and the evolution of seminal fluids to modify female reproductive behaviors (CHAPMAN et al. 2003) may result from selection for male reproductive fitness. However, it must be noted that the evolution of such "male-fitness enhancing" traits is exposed to the scrutiny of female choice as well as conflict. Is it possible that one of these three mechanisms might have prevailed across the genome to drive the observed faster evolution of male SRR genes relative to female SRR genes? At present, it is not possible to use our data to distinguish between the cryptic female choice, sexual arms race, and male sex drive hypotheses, as we lack functional characterization of all the genes analyzed and cannot assert that a given testis- or ovary-expressed gene does, in fact, have a reproductive function. It is very likely that female choice, sexual conflict, and male sex drive are not mutually exclusive and may operate at various stages (independently or overlapping) of reproduction (see HOSKEN and STOCKLEY 2004). Moreover, it might be misleading to evaluate fitness of males and females separately, when in reality the overall population's success depends on the interaction and co-adaptation of both sexes as separate sexes cannot maximize their fitness indefinitely (CIVETTA and SINGH 2005). One example of the inadequacy of splitting fitness by sex comes from studies of the effect of some seminal proteins on the basis of a particular physiological response (e.g., increased female fecundity), which fail to consider the cost of mating [e.g., decreased female viability and therefore conflict (CHAPMAN and DAVIES 2004)]. Therefore, although numerous authors have proposed that male/female co-evolution, driven by sexual selection, may underlie positive selection for some male reproductive genes (CORDERO 1995; EBERHARD 1996; SWANSON and VACQUIER 2002), formal tests of sexual selection will require the analyses of male and female molecular co-evolution of confirmed interacting proteins. Unfortunately, female interactors of seminal fluid and sperm proteins have not yet been identified in D. melanogaster. Several initial attempts to provide candidate interactors have focused on genes expressed in somatic (nonovarian) portions of the female reproductive tract. It is almost certain that this approach will fail to identify some interactors (e.g., those with expression in the head), but a number of interactors should be present in this set of organs (SWANSON et al. 2004; MACK et al. 2006).
Selective forces unrelated to sexual selection could also explain the rapid evolution of SRR genes and the evidence of positive selection for a subset of them. Evidence of positive selection for some genes could be the consequence of non-sexual adaptive evolution, as several genes expressed in the seminal fluid or in the female reproductive tract are thought to be involved in immune functions (SAMAKOVLIS et al. 1991; LUNG et al. 2001; PENG et al. 2005; LAWNICZAK and BEGUN 2007; MUELLER et al. 2007). Therefore, host–pathogen interactions could be the primary cause of the observed rapid evolution. Ecological adaptation can also be proposed to explain the positive selection observed in genes involved in eggshell formation as previously suggested (JAGADEESHAN and SINGH 2007). Experimental evolution studies will provide insights into which selective forces can result in the patterns of rapid evolution and positive selection that we observe in these genes.
The results that we have obtained by using a systematic genome- and genus-wide approach over a comprehensive list of annotated genes in 12 Drosophila species suggest that sexual selection may impose distinct and different evolutionary pressures on the genome relative to natural selection, thereby resulting in a dichotomy in rates and patterns of evolution of SRR and non-SRR genes. Faster evolution in a wide variety of male SRR genes (SFPs, testis specific, and spermatogenesis) relative to female- and non-SRR genes (ovary-specific, oogenesis, unbiased, and head-specific genes) indicates that the male reproductive repertoire is under distinct evolutionary pressures. Although the lack of functional information for many genes precludes us from fully explaining the vast and higher rate of male divergence, our study provides relevant information regarding the nature of divergence among reproductive-related genes. This information will be valuable in formulating and designing further detailed investigations directed at testing specific hypotheses related to sexual selection.
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2 Present address: Smithsonian Tropical Research Institute, Apartado 0842-03092, Panama, Republic of Panama. ![]()
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