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Copyright © 2008 by The National Academy of Sciences of the USA Evolution Preferential subfunctionalization of slow-evolving genes after allopolyploidization in Xenopus laevis Smurfit Institute of Genetics, Trinity College, Dublin 2, Ireland *To whom correspondence should be addressed. E-mail: khwolfe/at/tcd.ie Edited by Wen-Hsiung Li, University of Chicago, Chicago, IL, and approved April 11, 2008 Author contributions: M.S. and K.H.W. designed research; M.S. performed research; M.S. analyzed data; and M.S. and K.H.W. wrote the paper. Received September 13, 2007. This article has been cited by other articles in PMC.Abstract As paleopolyploid genomes evolve, the expression profiles of retained gene pairs are expected to diverge. To examine this divergence process on a large scale in a vertebrate system, we compare Xenopus laevis, which has retained ≈40% of loci in duplicate after a recent whole-genome duplication (WGD), with its unduplicated relative Silurana (Xenopus) tropicalis. This comparison of ingroup pairs to an outgroup allows the direction of change in expression profiles to be inferred for a set of 1,300 X. laevis pairs, relative to their single orthologs in S. tropicalis, across 11 tissues. We identify 68 pairs in which X. laevis is inferred to have undergone a significant reduction of expression in at least two tissues since WGD. Of these pairs, one-third show evidence of subfunctionalization, with decreases in the expression levels of different gene copies in two different tissues. Surprisingly, we find that genes with slow rates of evolution are particularly prone to subfunctionalization, even when the tendency for highly expressed genes to evolve slowly is controlled for. We interpret this result to be an effect of allopolyploidization. We then compare the outcomes of this WGD with an independent one that happened in the teleost fish lineage. We find that if a gene pair was retained in duplicate in X. laevis, the orthologous pair is more likely to have been retained in duplicate in zebrafish, suggesting that similar factors, among them subfunctionalization, determined which gene pairs survived in duplicate after the two WGDs. Keywords: rate of evolution, Silurana tropicalis, whole-genome duplication Polyploidy, also termed whole-genome duplication (WGD) is a frequent phenomenon in eukaryotes (1). A WGD is followed by extensive and rapid genome restructuring involving many gene losses, so that only one of the two gene copies remains in most genomes that underwent ancient polyploidization [for example, fish and yeast (2, 3)]. Alterations in function are expected among genes retained in duplicate. In some cases, one copy may acquire a new function (neofunctionalization), while the other keeps the ancestral function. The models of Lynch and Force (4, 5) also propose the existence of subfunctionalization, in which each copy retains a subset of the functions of the ancestral gene. Sub and neofunctionalization models make different predictions about the rate and symmetry of sequence evolution in the duplicates. Asymmetry in evolutionary rates between the protein sequences of the two copies is often interpreted as a footprint of neofunctionalization, especially if it is associated with evidence of positive selection in the accelerated copy (6). Several studies of paleopolyploid genomes have shown that rate asymmetry between the two copies can be widespread. For example, asymmetry was seen in 6% of retained gene pairs in Xenopus laevis and in 25–36% of pairs in teleost fishes (6–8). Relatively few examples of subfunctionalization of duplicated genes have been demonstrated so far, the best-known being those of fish mitf (9), sox9 (10), synapsin (11), POMC (12), mbx (13), and the plant gene RPL32-SODcp (14). A few studies have attempted to detect subfunctionalization on a larger scale after WGD. Aury et al. (15) used successive rounds of WGD in Paramecium to test Force et al.'s (5) prediction that subfunctionalized gene pairs should be resistant to reduplication. Their results suggest that subfunctionalization has occurred, but only rarely, in Paramecium genes. Other studies of subfunctionalization after WGD have focused on complementary amino acid substitution in protein pairs (6) and on the differential loss of regulatory regions between duplicated copies of developmental genes (16). The most powerful method currently available to study the divergence of function between duplicated genes on a large scale is the analysis of their transcription profiles. Many studies have shown expression divergence between WGD-duplicates (17–22). However, a major obstacle encountered in all these studies is that they could not differentiate between sub and neofunctionalization because the pattern of expression before duplication was unknown. This obstacle was overcome recently for gene pairs that were formed by WGD in Saccharomyces cerevisiae by comparing their pattern of expression to Candida albicans, an outgroup whose genome was not duplicated and therefore can be used to approximate the ancestral expression state (23). Here, we apply a similar approach to search for evidence of gene subfunctionalization after WGD in a vertebrate system. We compare the expression profiles of gene pairs preserved in duplicate after WGD in X. laevis to the expression profiles of orthologous genes in the unduplicated clawed frog S. tropicalis (sometimes also called X. tropicalis). The WGD that has been proposed for X. laevis has not yet been validated by a complete genome sequence, but it is estimated to have occurred 21–54.6 Mya (6, 24, 25) and it is likely to have been an allopolyploidization because interspecies crosses in Xenopus often produce fertile polyploid offspring and phylogenetic studies have shown that other polyploid clawed frogs are ancient allopolyploids (24, 26, 27). We used the extensive expressed sequence tag (EST) and cDNA sequence resources available for these species (20, 21, 25) to detect genes present in one copy in S. tropicalis and in two copies in X. laevis. We inferred the pattern of expression in these triplets and detected events of subfunctionalization. We then tested whether the subfunctionalized genes are a random subset of the genome. Results Construction of the Dataset. We clustered Xenopus expressed sequences (ESTs and full-length cDNAs) that are publicly available (558,503 sequences for X. laevis and 1,046,555 for S. tropicalis). We chose very stringent clustering parameters to avoid merging sequences expressed by paralogous genes [see Methods, supporting information (SI) Methods, and Fig. S1]. Using phylogenetic analysis, we built a dataset of 1,300 triplets, composed of one gene in S. tropicalis and its two coorthologs in X. laevis, whose duplication was most probably due to WGD. An early study based on a very small dataset proposed that 77% of genes were retained in duplicate in X. laevis (28). By using highly expressed genes to minimize errors associated with EST sampling, we estimate that ≈32–47% of genes were retained in double-copy in X. laevis after WGD (SI Methods and Figs. S2 and S3). Our figure is similar to Hellsten et al.'s (21) estimate of ≈25–50% retention. Gene loss has been less extensive after the relatively recent WGD in X. laevis than after the teleost-specific WGD, which is 10 times older (29, 30): In Tetraodon nigroviridis for instance, only 15% of genes were retained in duplicate (7). We estimated the gene expression profiles of each triplet based on the tissue from which the ESTs were extracted. More precisely, we obtained for each gene in each triplet a measure of its level of expression in each of 11 tissues that had been used for library construction in both species (see Methods for a list). We measured the conservation of these expression patterns between the two X. laevis copies since WGD by a Spearman correlation coefficient. We find that the majority of duplicate pairs do not show much divergence in expression since WGD (median correlation rho = 0.64; Fig. S4), a result similar to that of Chain et al. (22). Detection of Changes in Expression Profile: Subfunctionalization and Asymmetric Changes. We used parsimony to estimate the pattern of evolution of expression in each triplet. The principle of our analysis is shown in Fig. 1
We implemented another method to identify subfunctionalization between the two X. laevis copies. We constructed for each triplet the pattern Xlsum by merging the patterns of expression of the two X. laevis copies (summing the number of ESTs per million for each tissue). Subfunctionalizations are cases where each of the copies in X. laevis has retained part of the ancestral function; therefore, the Spearman correlation of the patterns of expression between S. tropicalis and Xlsum should be higher than both of the correlations between S. tropicalis and the individual X. laevis genes. This pattern was found in 11% of the triplets (144 triplets). Cases of subfunctionalization, therefore, represent only a small proportion (1.2–11%) of the WGD-duplicates considered here; however, we have seen that most pairs have not diverged in expression since the WGD (Fig. S4). We tested whether, among the minority of genes that do show significant changes in expression in our dataset, the pattern of changes frequently corresponds to a subfunctionalization pattern. We searched in particular for two patterns of expression profile change, which we refer to as subfunctionalization and asymmetric change (Fig. 1 Relationship Between Rate of Sequence Evolution and Pattern of Expression Divergence. We examined whether the rate of evolution of a gene influences the evolution of its expression patterns after WGD. Because duplication tends to increase the rate of nonsynonymous sequence evolution [for instance, in Xenopus (21)], we instead measured this rate (dN) between two species whose genomes have not been duplicated: S. tropicalis and human. This dN value should be indicative of the gene's evolutionary rate before WGD. We find that genes that became subfunctionalized were more slowly evolving before WGD than the genes with no particular pattern of expression evolution (median dN values 0.154 and 0.214 respectively; P = 0.018 with two repetitions is significant at a 3.6% level; Fig. 2
This preferential subfunctionalization of slowly evolving genes was unexpected. It is not a bias because of differences in mutation rate or in the age of the duplicates, because the levels of synonymous substitution are not significantly different among the three categories of genes (Fig. 2
We then asked whether the triplets of genes with subfunctionalization or asymmetric patterns of expression evolution have a particular rate of evolution after WGD. We computed the nonsynonymous divergence between the two paralogous copies in X. laevis and compared the mean values among groups with different patterns of expression evolution (Fig. 2 Convergent Outcomes of Two Independent WGDs in Teleost Fish and X. laevis. We have seen that subfunctionalized genes in X. laevis are distinctive because they were slowly evolving before WGD. Therefore, it is possible that some genes are more prone to subfunctionalization than others. To test this hypothesis, we compared the outcomes of two WGDs that occurred independently in vertebrates: one in X. laevis and one at the base of teleost fish lineage. First, we tested the null hypothesis that the two WGDs should have independent results in terms of double-copy retentions. In other words, whether a gene pair was or was not retained in duplicate in X. laevis should have no bearing on whether or not its orthologous pair was retained in fish. Because the genome of zebrafish has been completely sequenced, we can assess with certainty whether a gene pair was retained in two copies in this species after its WGD, whereas this is not feasible in X. laevis. We identified reliable orthologs in zebrafish for half of our triplets (529 genes; Fig. 4
What is the reason for this convergence? It has been shown that highly expressed genes are overretained after WGD (15, 36). If expression level differences are responsible for the nonindependence of the two WGDs, we would expect that highly expressed genes should have higher frequencies of retention in duplicate than weakly expressed genes, after both WGDs. We divided our dataset of Xenopus-fish orthologs into two classes depending on their expression level in S. tropicalis (low or high; Fig. 4 We can ask whether these highly expressed genes have been retained for the same reason after the two WGDs. By definition, subfunctionalized genes are expressed in several tissues and they are also highly expressed (Fig. 2 Discussion In their pioneering study of 17 duplicated genes in X. laevis, Hughes and Hughes (28) already noticed that in four cases the two copies were expressed in different tissues or at different developmental times, and this trend was confirmed recently in larger datasets (20, 21). We detect relatively little subfunctionalization in our dataset (1.2–11% of the WGD-duplicates considered). This may be because most pairs have not diverged in expression since the WGD and subfunctionalization actually only happened in a small percentage of pairs. Alternatively, our ability to detect subfunctionalization is perhaps limited. If we had complete information about transcription in every tissue, we could more accurately detect significant expression divergence between gene pairs in some particular tissues and hence obtain a reliable estimate of the fraction of genes undergoing subfunctionalization. The frequency of subfunctionalization we estimate here is a lower limit, because we examined a limited number of tissues, but we cannot propose an upper bound for this figure. Even though we were not able to estimate the frequency of subfunctionalization, we could still examine the characteristics of genes that became subfunctionalized. We find that some genes are predisposed to subfunctionalization. Genes that underwent subfunctionalization in X. laevis tend to be slowly evolving in other species, and conversely genes with an asymmetric pattern of expression evolution in X. laevis tend to evolve faster than expected in these outgroups. These results are only of medium statistical significance, partly because the limited size of the datasets weakens the power of the tests, and partly because of the necessity to correct for multiple testing. Nonetheless, we observed that the rate of sequence evolution influences the retention of some genes after WGD, and we propose a model to explain our observations. Genes retained in duplicate after WGD are more likely to belong to gene families with slow rates of sequence evolution (7, 37, 38) or high expression levels (15, 36). Slow sequence evolution is correlated with a high level (or wide breadth) of expression in both yeast and vertebrates (33, 39), and both observations may be due to the same phenomenon. Davis and Petrov (37) were unable to find an obvious explanation for their discovery that slowly evolving genes are preferentially retained in duplicate, but they suggested that the bias may be an indirect correlation due to a third variable that is responsible for the retention and is correlated with the other two. Candidates for this third variable include the presence of many cis-regulatory regions (5, 40), of genes coding for multidomain proteins (41), and pleiotropic genes (model 3 in ref. 42). Other models predict that genes with a particular function, such as regulatory genes (43), should be retained in duplicate more often than expected after WGD. Alternatively there may be a direct relationship between the expression level (or the rate of sequence evolution) and the propensity to be retained in duplicate. Highly expressed genes may be retained in duplicate after WGD simply because they are beneficial for gene dosage (15). We discuss below that the rate of evolution seems to be directly responsible for double-copy retention in Xenopus, at least for the subset of gene pairs whose expression is divergent. We have shown that slowly evolving genes are more subject to subfunctionalization. Theoretical studies of subfunctionalization do not predict that genes becoming subfunctionalized should evolve more slowly than others before duplication (5, 40). On the contrary, subfunctionalization is supposed to be a neutral event that occurs because of neutral mutations impairing different subfunctions in the duplicates. Because we correct for expression bias (Fig. 3 These observations lead us to propose that slowly evolving genes were more easily subfunctionalized in X. laevis and therefore more easily retained long after WGD. Our model of gene evolution after WGD in X. laevis is illustrated in Fig. 5
Note that our model is also valid for an autopolyploidization or any other kind of gene duplication, if the genes can survive in duplicate long enough to attain sequence divergence. In each case the genes with slower rates of nonsynonymous substitution are expected to remain equivalent (and therefore prone to subfunctionalization) for a longer time. This hypothesis is supported by our laboratory's previous work on WGD in yeast, where we found that slow-evolving genes retained their interchangeability for a longer time period after WGD than fast-evolving genes (45, 46). If this idea is correct it can account for the preferential retention of slow-evolving genes after any kind of duplication, as seen by Davis and Petrov (37). Thus, subfunctionalization may be a force in the long-term evolution of duplicated genes, in addition to its originally postulated role (5) in their initial preservation. Methods The methods we used for stringent EST clustering, building triplets of homologous Xenopus genes, establishing orthology relationships, and estimating rates of sequence evolution are described in SI Methods. The derivation of our estimate that 32–47% of genes were retained in double-copy in X. laevis after WGD is also given in SI Methods. To estimate expression profiles of frog genes, we classified the available Xenopus EST libraries into tissues (104 libraries in X. laevis, 51 in S. tropicalis) and identified the following 11 tissues (or developmental stages) as being common between the two species: brain, embryo, heart, kidney, liver, lung, ovary, skin, spleen, tadpole, and testis. By construction, each contig in a triplet is composed of ESTs that were used to infer its pattern of expression. Zebrafish EST analysis is described in SI Methods. To detect differences in expression level between the two copies in X. laevis (denoted Xl1 and Xl2) and S. tropicalis (St) in one tissue, we used Audic and Claverie's Bayesian test (31), which takes the total number of ESTs sequenced in each tissue from each species into account. We modified the test slightly because the null expectation is that the EST count of gene St should be ≈1.3 times greater (exact value: e0.26; see SI Methods) than the individual EST counts of its orthologs Xl1 and Xl2. To detect a significant decrease in the expression of gene Xl1 in a particular tissue we tested whether, for this tissue in the two species, (i) the EST count of Xl1 × e0.26 is significantly lower than the count of St, and (ii) the EST count of Xl2 × e0.26 is not significantly lower than the count of St. Supporting Information
Acknowledgments. We thank G. Conant for help with computing of asymmetry of sequence evolution; L. Guéguen for help with FDR and tree parsing; and K. Byrne, G. Conant, B. Cusack, C. Frank, J. Gordon, N. Khaldi, J. Mower, D. Scannell, M. Webster, M. Woolfit, and two anonymous referees for helpful comments. This work was supported by Irish Research Council for Science, Engineering and Technology and the Science Foundation Ireland. Footnotes The authors declare no conflict of interest. This article is a PNAS Direct Submission. This article contains supporting information online at www.pnas.org/cgi/content/full/0708705105/DCSupplemental. References 1. Otto SP, Whitton J. Polyploid incidence and evolution. Annu Rev Genet. 2000;34:401–437. [PubMed] 2. Jaillon O, et al. Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype. Nature. 2004;431:946–957. [PubMed] 3. Scannell DR, Byrne KP, Gordon JL, Wong S, Wolfe KH. 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Annu Rev Genet. 2000; 34():401-437.
[Annu Rev Genet. 2000]Nature. 2004 Oct 21; 431(7011):946-57.
[Nature. 2004]Nature. 2006 Mar 16; 440(7082):341-5.
[Nature. 2006]Genetics. 2000 Jan; 154(1):459-73.
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[PLoS Genet. 2006]Mol Biol Evol. 2006 Sep; 23(9):1808-16.
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[BMC Genomics. 2006]Genetics. 2002 May; 161(1):259-67.
[Genetics. 2002]Dev Dyn. 2003 Nov; 228(3):480-9.
[Dev Dyn. 2003]Genome Biol. 2006; 7(2):R13.
[Genome Biol. 2006]Plant Cell. 2004 Jul; 16(7):1679-91.
[Plant Cell. 2004]Mol Biol Evol. 2006 Feb; 23(2):469-78.
[Mol Biol Evol. 2006]Genome Res. 2006 Jun; 16(6):796-803.
[Genome Res. 2006]BMC Biol. 2007 Jul 25; 5():31.
[BMC Biol. 2007]PLoS Genet. 2006 Apr; 2(4):e56.
[PLoS Genet. 2006]Mol Biol Evol. 2005 May; 22(5):1193-207.
[Mol Biol Evol. 2005]Genetics. 2007 Jun; 176(2):1119-30.
[Genetics. 2007]Genome Res. 2006 Jun; 16(6):796-803.
[Genome Res. 2006]BMC Biol. 2007 Jul 25; 5():31.
[BMC Biol. 2007]Mol Biol Evol. 1993 Nov; 10(6):1360-9.
[Mol Biol Evol. 1993]BMC Biol. 2007 Jul 25; 5():31.
[BMC Biol. 2007]Proc Natl Acad Sci U S A. 2004 Feb 10; 101(6):1638-43.
[Proc Natl Acad Sci U S A. 2004]J Mol Evol. 2004 Aug; 59(2):190-203.
[J Mol Evol. 2004]Mol Biol Evol. 2006 Sep; 23(9):1808-16.
[Mol Biol Evol. 2006]BMC Evol Biol. 2008 Feb 8; 8():43.
[BMC Evol Biol. 2008]Genome Res. 1997 Oct; 7(10):986-95.
[Genome Res. 1997]BMC Biol. 2007 Jul 25; 5():31.
[BMC Biol. 2007]Mol Biol Evol. 2000 Jan; 17(1):68-74.
[Mol Biol Evol. 2000]Mol Biol Evol. 2004 Feb; 21(2):236-9.
[Mol Biol Evol. 2004]Genome Res. 2003 Sep; 13(9):2052-8.
[Genome Res. 2003]BMC Biol. 2007 Jul 25; 5():31.
[BMC Biol. 2007]Nature. 2006 Nov 9; 444(7116):171-8.
[Nature. 2006]Curr Opin Microbiol. 1999 Oct; 2(5):548-54.
[Curr Opin Microbiol. 1999]Mol Biol Evol. 1993 Nov; 10(6):1360-9.
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