Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Mechanisms of Intron Loss and Gain in the Fission Yeast Schizosaccharomyces

  • Tao Zhu,

    Affiliation MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing, China

  • Deng-Ke Niu

    dengkeniu@hotmail.com

    Affiliation MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing, China

Mechanisms of Intron Loss and Gain in the Fission Yeast Schizosaccharomyces

  • Tao Zhu, 
  • Deng-Ke Niu
PLOS
x

Abstract

The fission yeast, Schizosaccharomyces pombe, is an important model species with a low intron density. Previous studies showed extensive intron losses during its evolution. To test the models of intron loss and gain in fission yeasts, we conducted a comparative genomic analysis in four Schizosaccharomyces species. Both intronization and de-intronization were observed, although both were at a low frequency. A de-intronization event was caused by a degenerative mutation in the branch site. Four cases of imprecise intron losses were identified, indicating that genomic deletion is not a negligible mechanism of intron loss. Most intron losses were precise deletions of introns, and were significantly biased to the 3′ sides of genes. Adjacent introns tended to be lost simultaneously. These observations indicated that the main force shaping the exon-intron structures of fission yeasts was precise intron losses mediated by reverse transcriptase. We found two cases of intron gains caused by tandem genomic duplication, but failed to identify the mechanisms for the majority of the intron gain events observed. In addition, we found that intron-lost and intron-gained genes had certain similar features, such as similar Gene Ontology categories and expression levels.

Introduction

Spliceosomal intron densities vary greatly among different organisms [1][4]. Although losses and gains of introns in evolution have been confirmed by numerous studies, their mechanisms have not been fully revealed [5][12].

Three models of intron loss have been proposed: the reverse transcription (RT) model, the genomic deletion model, and the model of non-homologous end joining (NHEJ) repair of double strand breaks [7][9]. In recent years, many attempts have been made to test these models by phylogenetic analysis of the presence and absence of introns among orthologous genes. Among the three models, the RT model has been widely tested. It was initially proposed to explain the 5′-biased distribution of the limited number of introns in the budding yeast Saccharomyces cerevisiae [13]. In this model, the 3′ side of a mature mRNA is more successfully reverse-transcribed because of the occasional dissociation of reverse transcriptase from template mRNAs. Recombination of the partial cDNA products with genomic DNA causes exact loss of an intron or introns from the gene. Its first prediction is that introns are preferentially lost from the 3′ sides of genes. This pattern has been observed in Dictyostelium discoideum, Schizosaccharomyces pombe, Mycosphaerella, Cryptococcus, Caenorhabditis elegans, Anopheles, and mammals [14][19], but not in Fusarium graminearum, Magnaporthe grisea or rice [20], [21]. In Neurospora crassa and Aspergillus, the biased position of intron loss has been observed in a comparative analysis among distantly related species [18], but not in analyses of closely related species [20], [22]. In both Arabidopsis and Drosophila, conflicting results have been reported [10], [23][26]. A modified version of the RT model is that reverse transcription is primed by the polyA tail itself and, therefore, the preferential loss of which introns depends on the specific secondary structure of the mRNA molecules [27], [28]. It could explain the intron losses that were not biased to the 3′ sides of genes. However, this modified version has not received further support [10], [22]. The second prediction of the RT model is that adjacent introns tend to be lost simultaneously. This prediction has been confirmed in Cryptococcus, Fusarium, Aspergillus, Drosophila and mammals [10], [15], [16], [19], [22], but not in Caenorhabditis, Plasmodium or Arabidopsis [23], [29], [30]. In addition, homologous recombination between cDNA and genomic DNA would produce an exact intron loss. By contrast, in the genomic deletion model, introns are lost individually and often imprecisely by unequal exchange of alleles. In most previous studies, especially those focused on distantly related species, filtration of unreliable alignments artificially excluded all possible cases of imprecise intron loss. Up to now, only a few cases of imprecise intron loss have been detected in pufferfish, Drosophila, and Muridae [10], [31], [32]. Recently, it was proposed that introns could be lost either precisely or imprecisely during the NHEJ repair of double strand DNA breaks [9]. By analyzing the frequency of micro-homology between splice sites of lost introns, researchers observed evidence for the NHEJ model in Arabidopsis [23], but not in Drosophila [10]. This micro-homology would degrade gradually during evolution; therefore, this signal could only be detected in closely related organisms.

Compared with intron loss, the possible mechanisms underlying intron gain are much more diverse. At least six mechanisms have been proposed for intron gain: intron transposition, transposon insertion, group II intron insertion, tandem genomic duplication, intron transfer and NHEJ-mediated intron gain events [11], [33]. The NHEJ-mediated intron gain, which is similar to the NHEJ model of intron loss, has been frequently observed in Daphnia and Aspergillus [22], [34]. The intron transposition model suggests that an intron is reverse-spliced into a different position of its own mRNA or another mRNA. Subsequently, recombination of the cDNA reverse-transcribed from the mRNA with genomic DNA would create a new intron [33]. Therefore, the newly gained intron would have high sequence similarity with an intron in the same gene or an unrelated gene. Evidence for this model has been found in Oikopleura and Mycosphaerella [14], [35]. Insertions of transposable elements containing splicing signals may create new introns. The test of this model requires similarity between gained introns and transposons. A few such cases have been found in Drosophila and Arabidopsis [10], [23]. In Cladosporium and Dothistroma, introner-like elements (ILEs) were found to contribute to new introns [36], [37]. However, further study is required to show whether the ILEs were inserted similarly to transposons or via reverse splicing. New introns may also arise among tandem genomic repeats containing cryptic splice sites. This tandem genomic duplication model has also gained some support [19], [38]. Finally, introns may be transferred between paralogs or genes with highly similar segments by gene conversion. A few cases of intron gain by this model have been observed in Chironomus, Aspergillus and Mycosphaerella [14], [22], [39]. Studies on intron gain were extensively reviewed in [11].

A broad definition of intron loss and gain could include de-intronization and intronization, which are conversions of intron sequences to exon sequences, and vice versa, by mutations [40][42]. Intronization and/or de-intronization events have been found in Cryptococcus, Fusarium, Caenorhabditis, mammals and Populus [15], [40], [41], [43], [44]. However, detection of intronization/de-intronization events depends heavily on the quality of gene annotation. Caution must still be taken when relevant transcriptome data are limited [22].

The fission yeast, Schizosaccharomyces pombe, has a low intron density [2], [45]. Its high quality gene annotations and high coverage of transcriptomes make it a good candidate for the study of intron evolution. Previous studies indicated that it has experienced extensive intron losses during evolution [17], [18], [46],[47]. However, all the studies were comparisons of S. pombe with distantly related organisms, such as vertebrates and plants. Most of the evolutionary traces of intron loss and gain could not be retained over such a long evolutionary history. For this reason, we compared four closely related species; Schizosaccharomyces cryophilus, Schizosaccharomyces octosporus, S. pombe and Schizosaccharomyces japonicus with six outgroup fungus species (Figure 1). Certain novel findings obtained in Schizosaccharomyces enriched our understanding of the mechanisms of intron evolution.

thumbnail
Figure 1. Phylogenetic relationship of the fission yeasts and six outgroup fungal species.

The tree was constructed from a study on comparative genomics of fission yeasts [47] and the NCBI Taxonomy database (http://www.ncbi.nlm.nih.gov/taxonomy). It is not scaled according to phylogenetic distances.

https://doi.org/10.1371/journal.pone.0061683.g001

Materials and Methods

Genomes and Gene Annotations

We downloaded the genome sequences and gene annotations of four fission yeast species (S. cryophilus, S. octosporus, S. pombe and S. japonicus) from the Broad Institute (http://www.broadinstitute.org/science/data, September 08, 2012). Data for Saitoella complicata, Aspergillus niger, Nectria haematococca, Sporobolomyces roseus, Cryptococcus neoformans and Phycomyces blakesleeanus were obtained from JGI (http://genome.jgi.doe.gov/, September 08, 2012). Saitoella complicata was selected because it is closely related to the Schizosaccharomyces genus and the other five outgroup species were selected because of their relative abundance of introns. The phylogenetic relationship between the Schizosaccharomyces species and the outgroup species is shown in Figure 1.

Genes with obvious annotation errors, such as those having coding sequences with non-multiples of three nucleotides or those conflicting with their protein sequences, were discarded. If a gene had multiple transcript isoforms, the longest mRNA was retained for analysis. As alternative splicing events in fungi are rare compared with plants and animals [47], [48], this selection, even if inaccurate, would not affect our final results significantly.

Detection of Orthologs

First, the best reciprocal BLAST was used to search for orthologous protein-coding genes across the four Schizosaccharomyces taxa, with thresholds of E<10−10 and identity ≥0.25. Then, all the possible orthologs were imported into OrthoCluster 2.0 [49] to generate synteny blocks among the four organisms. The minimum orthologous gene number and the maximum mismatched gene number in each block were set to 3. Only orthologous gene pairs that were located in synteny blocks were retained to avoid retrogenes or processed pseudogenes being mistaken as true orthologs. In total, 2,963 1∶1∶1∶1 orthologous genes were found, among which 2,108 intron-containing groups were used for further analysis.

Identification of Unique Intron Positions

Each group of orthologous proteins was aligned using MUSCLE 3.8 [50] and intron positions were mapped onto the alignments. Position candidates for intron loss and gain were filtered using the following criteria: a) Adjacent intron positions in different taxa that were less than five amino acids in distance were excluded as they might represent intron sliding events; b) Introns near large gaps (longer than five amino acids), which might represent possible intronization or de-intronization events, were manually checked and analyzed separately (Figure 2); c) If the identity of 15 amino acids neighboring an intron position on each side was less than 0.30, the first quartile of all orthologous protein sequence identities, it was discarded because of poor alignment. This resulted in 1,775 conserved intron positions (Table S1) and 808 unique intron positions.

thumbnail
Figure 2. Detection of intronization and de-intronization.

Both intronization and de-intronization are characterized by introns neighboring large gaps while the surrounding coding regions remain well aligned. These two can be distinguished by the presence or absence of the introns in other outgroup species (A). The conserved surrounding coding regions are marked in yellow and the exonized or intronized regions are marked in red. Introns are represented as stars. The protein alignments show a case of intronization in S. pombe (B) and a case of de-intronization in S. cryophilus (C). Intron phases are marked as 0, 1, 2 or ∼ (absence of an intron). Species names abbreviations: S. cryophilus (Scry), S. octosporus (Soct), S. pombe (Spom), and S. japonicus (Sjap).

https://doi.org/10.1371/journal.pone.0061683.g002

Six outgroup fungus species were used to distinguish intron losses and intron gains among the unique intron positions. First, the outgroup orthologous proteins were identified and aligned with the intron-containing Schizosaccharomyces proteins using the same method mentioned above. Second, for each candidate intron position, the presence and absence of introns in each species were marked as 0 (lacks an intron), 1 (has an intron) or ? (no orthologous regions). This data list was imported into the Dollop (Dollo and Polymorphism Parsimony) program in the PHYLIP 3.6 [51] package to detect intron loss and gain events that happened in the taxa and nodes within the Schizosaccharomyces group. Finally, considering the limitation of Dollop (Text S1) and the empirically low occurrence of intron gains, we identified an intron gain event only when the identification was supported by ≥4 outgroup branches.

Certification of Target Intron Positions Using Transcriptome Data

In order to exclude the possibility that the unique intron positions, including intron losses/gains and intronizations/de-intronizations, were gene structure annotation artifacts instead of real intron changes, it is necessary to use transcriptome data to identify related gene structures. The RNAseq/Inchworm/PASA assembly sequences of the four fission yeast species were downloaded from the Broad Institute (http://www.broadinstitute.org/annotation/genome/schizosaccharomyces_group/MultiDownloads.html, October 02, 2012). The transcripts were mapped onto the corresponding genomic sequences using BLAT 34 [52]. A target intron position supported by ≥1 RNA assembly was regarded as a transcript-certified intron position. If a target position lacked related transcripts, we searched the related gene in the Feature Search page of Broad Institute (http://www.broadinstitute.org/annotation/genome/schizosaccharomyces_group/FeatureSearch.html) to get additional transcripts that are only available on the webpages.

Results and Discussion

Among the 2,108 intron-containing orthologs across the four Schizosaccharomyces species, we found 1,775 conserved intron positions and 808 unique intron positions. By consulting the orthologous genes in the six outgroup fungal species, we identified 677 putative cases of intron loss and 62 putative cases of intron gain (Tables S2S3), as well as 156 putative cases of intronization and de-intronization.

Intronization and De-intronization Are Rare in Fission Yeasts

Intronization or de-intronization events are characterized by unique introns neighboring large gaps of exons where the other exon parts remain well aligned (Figure 2). In this study, 156 putative cases of intronization and de-intronization events were detected. When transcriptome data were not available, changes of splicing signals might be used as evidence of intronization and de-intronization. Among the 156 possible cases, we found that changes of splicing signals occurred in 63 cases. By contrast, only two cases were supported by transcriptome data: one case of intronization and one case of de-intronization (Table 1, Figure 3). Surprisingly, changes in splicing signals were observed in the intronization case, but not in the de-intronization case. In addition to these two cases, there were 12 putative cases of intronization/de-intronization that were neither supported nor disproved by transcriptome data. Most of the cases, even those having changes of splicing signals, were disproved by transcriptome data (Table 1). A conclusion can be drawn here is that the identification of intronization and de-intronization depends heavily on the accuracy of genome annotation. The putative intronizations and de-intronizations in some previous studies, such as those in Aspergillus [22], are likely to be mostly annotation errors.

thumbnail
Figure 3. Intronization and de-intronization events in fission yeasts.

A) Intronization occurred in the SPBC29A10.02 gene of S. pombe. The intronized region is marked by underlining and variations in splice sites are marked in gray. Alignment of gene SPBC29A10.02 with its related EST is shown below. B) De-intronization occurred in the SPOG_00055 gene of S. cryophilus. Alignment of SPOG_00055 with its orthologs shows a de-intronization event, with the exonized region marked by underlining. Alignment of gene SPOG_00055 with its related EST is shown below. C) The consensus sequence (YTRAY) of branch sites in fission yeasts. Branch site sequences were detected using ICAT [53] and consensus sequences were generated using Weblogo [54]. D) The degraded branch sites of SPOG_00055 compared with its orthologous intron regions. The branch sites predicted by ICAT are marked by underlining and the consensus regions in the branch sites are in bold. Mutations are marked in gray. The introns are shown in lower case while exonic sequences are presented in upper case. Species name abbreviations: S. cryophilus (Scry), S. octosporus (Soct), S. pombe (Spom), and S. japonicus (Sjap).

https://doi.org/10.1371/journal.pone.0061683.g003

thumbnail
Table 1. Number of putative intronization and de-intronization events in fission yeasts.

https://doi.org/10.1371/journal.pone.0061683.t001

Mutations in Splice Sites and Branch Sites Lead to Intronization and De-intronization

In gene SPBC29A10.02 of S. pombe, an intronization event occurred by the conversion of a coding segment into a new intron. At the two ends of this segment, two point mutations (C to G and A to G) created the two splicing sites (Figure 3A).

In the case of de-intronization, the fourth intron of gene SPBC29A10.14 was conserved among S. octosporus, S. pombe, and S. japonicus. However, the orthologous sequence of the intron had changed into an exonic segment in S. cryophilus (Figure 3B). No mutations were detected in 5′ or 3′ splice sites. Using the ICAT program and Weblogo 3.3 [53], [54], we identified the consensus sequence (YTRAY) of intron branch sites in Schizosaccharomyces species (Figure 3C). Furthermore, we found an A to T mutation in the branch site of gene SPOG_00055 in S. cryophilus (Figure 3D). This point mutation probably caused the de-intronization by inactivating the branch site.

Multiple signals are required for efficient splicing [55]; therefore, conversion of an exonic segment into an intron requires multiple constructive mutations. The point mutations we observed in gene SPBC29A10.02 merely represent the end steps. By contrast, mutations in any of the essential signals of splicing (e.g., the 5′ and 3′ splicing signals, the branch sites, and the exonic splicing enhancers) could produce alternative products [55] or even cause de-intronization. Unless cryptic splicing signals are very common, de-intronization is expected to have a higher frequency than intronization. However, de-intronization introduces an insertion and possibly premature stop codons into mRNA, which might be deleterious and be selected against. Therefore, the observed frequency of de-intronization should be much lower than the actual frequency. Previous studies observed a higher frequency of intronization than de-intronization [40], [41].

Most Intron Loss and Gain Positions Were Supported by Transcriptome Data

The identification of intron loss or gain events were initially based on the gene structure annotations of the four fission yeast species. However, some of these annotations might be erroneous, which could be seen from the fact that most putative intronization or de-intronization events were annotation errors. For intron losses and gains, gene annotation errors could also lead to false-positive results. If an exonic segment was mis-annotated as an intron in orthologous genes, a simple deletion of it would lead to a false-positive case of intron loss. Similarly, a simple insertion of exonic sequence mis-annotated as an intron would lead to a false-positive case of intron gain. Therefore, the transcriptome data were also required to support the target intron loss or gain events.

In our datasets, we found that most intron loss and gain positions were supported by transcriptome data (Tables S2S3). In only three out of the 677 putative cases of intron loss, the extant orthologous introns were lacking related transcriptome data. Therefore we are not sure whether they are really introns. Among the intron-absent genes, 14 were not covered by any transcripts. These genes might be inactivated after losing their introns or be uncovered simply because of low-coverage transcriptomes. For accuracy, we excluded these 17 cases and thus retained 660 cases of intron loss in the further analyses (Table 2). On the other hand, all 62 putative cases of intron gain were found to be successfully spliced out from pre-mRNAs (Table 2). In contrast with intronization or de-intronization events, most of the intron loss and gain events were supported by transcriptomes.

thumbnail
Table 2. The number and rate of intron loss and gain in fission yeasts.

https://doi.org/10.1371/journal.pone.0061683.t002

Based on the divergence time between taxa and the number of considered introns in each species and nodes, the rate of intron loss was calculated (Table 2). We found that the variation of intron densities within the Schizosaccharomyces group was negatively correlated with the intron loss rates (Figure S1). It seems that intron loss was the main force that shaped the gene structures in fission yeasts.

Evidence for the Genomic Deletion Model of Intron Loss

Although the genomic deletion model of intron loss is widely cited [7], [8], very few supporting cases have been revealed [10], [31], [32]. In our dataset of intron loss, most cases are exact losses of entire introns. Fortunately, we detected four cases of imprecise intron deletions (Figure 4). In the first case, gene SJAG_01807 lost an intron together with 3 nt of the downstream exon (Figure 4A). In the second case, loss of an intron from gene SPBC17A3.05c was also accompanied by loss of 3 nt from the downstream exon. Meanwhile, we found that one of its orthologous genes, SJAG_01160, also lost the same intron, but this was a precise loss (Figure 4B). In the third case, an imprecise intron loss occurred in gene SJAG_05247 when 6 nt of the intron were left on the downstream exon (Figure 4C). In the last case, the orthologous gene pair SPOG_00241 and SOCG_04299 both lost an intron at the same position, but left 3 nt of the intron on the upstream exon (Figure 4D). We hypothesize that this represents one intron loss event that occurred in the common ancestor of S. cryophilus and S. octosporus.

thumbnail
Figure 4. Cases of imprecise intron deletion in fission yeasts.

The alignments of DNA sequences around imprecise intron deletion regions are shown. Exon sequences are shown in upper case while intron sequences are shown in lower case. Exonic sequence indels accompanying intron loss are marked in red. Internal regions in long intron sequences are marked by “//”. Species name abbreviations: S. cryophilus (Scry), S. octosporus (Soct), S. pombe (Spom), and S. japonicus (Sjap).

https://doi.org/10.1371/journal.pone.0061683.g004

None of these imprecise intron losses caused any frameshifts in the coding sequences. It is very likely a result of negative selection. Imprecise intron losses that caused frameshifts might also have occurred, but have been eliminated. In addition, some cases of imprecise intron losses that did not cause frameshifts might also have been eliminated because of indels of amino acid sequences, especially when the indels were very long. Genomic deletion may also produce exact intron loss (at a low frequency); therefore, we suggest that the genomic deletions that have actually occurred in evolution should be more frequent than the imprecise intron deletions we observed.

In addition, the frequency of genomic deletion might also been underestimated for methodological reasons. In previous studies [10], [31], [32] and the present one, imprecise intron losses all involved leaving or moving very short exon sequences. All the studies focused on intron sites in well-aligned sequence regions; therefore, deletions of large regions would definitely be filtered out and the remaining cases observed might reflect only part of the genomic deletion events that have actually occurred. For this reason, we searched all the remaining unique intron sites that were discarded because of low alignment identity. Two possible cases were found (Figure S2). Unfortunately, we could not find orthologous genes in the outgroup species, and thus failed to distinguish between intron loss and intron gain for these two cases. Further evidence is required to determine whether they represent imprecise intron losses or imprecise intron gains, an unknown phenomenon with no previous reports.

Intron Loss Events Are Mainly Caused by Reverse Transcription

Similarly to previous studies in other taxa [15], [16], [19], three predictions of the classical RT model of intron loss have been confirmed in fission yeasts. First, most cases (656 among 660) of the intron losses are precise intron deletions. Second, adjacent introns tend to be lost simultaneously. We observed 38 groups of losses of adjacent introns: six in the ancestor of S. cryophilus and S. octosporus, 17 in S. pombe, seven in the ancestor of S. cryophilus, S. octosporus and S. pombe and eight in S. japonicus. Referring to the method of Roy and Gilbert [17], we calculated the probability distribution of the loss of adjacent introns with the assumption of independent loss of each intron (Figure 5). The probabilities that exceed the number of observed lost intron pairs were low enough (0.043∼6.8×10−7) to deny the null hypothesis. Furthermore, we observed a preferential loss of introns at the 3′ side of genes. As shown in Table 3, the 3′-biased intron loss is significant in every species and node of the yeasts studied.

thumbnail
Figure 5. Adjacent introns tend to be lost together in fission yeasts.

The probability distribution of all possible numbers of adjacent lost intron pairs is shown, with the observed pattern marked by a circle. The probabilities exceeding the observed numbers of lost intron pairs were small and, therefore, adjacent introns tend to be lost together more frequently than by chance. Lost introns are categorized by A) S. pombe, B) S. japonicus, C) Ancestor of S. cryophilus, S. octosporus and S. pombe, D) Ancestor of S. cryophilus and S. octosporus.

https://doi.org/10.1371/journal.pone.0061683.g005

thumbnail
Table 3. Comparison of the relative positions between lost introns and conserved intronsa.

https://doi.org/10.1371/journal.pone.0061683.t003

Meanwhile, we also tested the NHEJ-mediated model of intron loss by surveying the micro-homology between 5′ and 3′ splice sites of lost introns [9]. The frequency of direct repeats around lost introns was not significantly higher than that around conserved introns (P>0.10 in all species and nodes). Thus, the NHEJ-mediated model was not supported by the intron losses in fission yeast.

Evidence for Tandem Genomic Duplications Leading to Intron Gain

Intron gains are generally observed at a much lower frequency than intron losses. Even for the limited number of intron gains, definite source sequences could not be found for most new introns [22], [34]. This delayed the interpretation of the mechanisms of intron gain and raised doubts concerning the reliability of the identified intron gain events [22]. Similarly, we did not find the source sequences of most of the new introns identified in this study. Among the 62 cases of intron gains, definite source sequences were revealed for only two new introns. We found that the similarity can be extended to the neighboring exons. They were both similar to nearby exons and seemed to result from tandem genomic duplications. Gene SPOG_01682 gained its intron at position 576-0 (after the 576th amino acid, phase 0) and its ortholog SOCG_00815 gained its intron at another position 612-0. Both of the introns comprised tandem repeats (Figure 6A). SPOG_01682 had a spliced EST, SCY_iw_8826, which spliced out a longer segment than the annotated intron (Figure 6B). Thus, the true in vivo situation of this intron requires further investigation. SOCG_00815 also had a spliced EST, SO_iw_16530 and it mapped with the intron correctly, although it only covered a small part of the 5′-side exon (Figure 6B). In addition, the 24-nt repeat units around these two gained introns were not totally identical (Figure 6C), which reduces the possibility of them arising through sequence assembly errors. It seemed that the proto splice sites (AGGC) in the repeat units led to the occurrence of new introns.

thumbnail
Figure 6. Intron gain caused by tandem genomic duplication in fission yeasts.

A) Gained introns and surrounding exon sequences. To show each tandem repeat unit clearly, they are shown in different colors. The cryptic splice sites (AGGC) in tandem repeat units are marked in bold. B) Alignment of the intron-gained genes with their supporting ESTs. C) Alignments of the repeat sequences. They are not fully identical. The introns are shown in lower case while exonic sequences are shown in upper case.

https://doi.org/10.1371/journal.pone.0061683.g006

We also attempted to test the NHEJ model of intron gain by surveying the frequency of direct repeats near intron-exon boundaries [11], [34]. Among the newly gained introns, 29.2% have direct repeats near boundaries. Comparatively, we found that 25.1% of conserved introns also have direct repeats near their boundaries. A Pearson square test showed that the difference is not significant (P = 0.338). Therefore, the NHEJ model of intron gain was not supported in fission yeasts.

Some Genes are More Likely to Lose and Gain Introns

In our dataset, 58 genes lost multiple introns and five gained multiple introns. It seems that intron number variations are not evenly distributed among different genes, but biased to certain special ones. We tested whether intron-lost (IL) genes and intron-gained (IG) genes are clustered in certain special features. BiNGO 2.44 [56] was used to classify and characterize the analyzed genes into Gene Ontology (GO) categories, which were based on the S. pombe GO annotation from the Gene Ontology website (http://www.geneontology.org). Compared with the whole gene sets, IL genes were more likely to participate in metabolism, molecular transportation and enzyme activity regulation (Table 4). Interestingly, IG genes were also clustered in similar GO categories, although the sample size was much smaller (Table 4). We also showed that IL genes and IG genes both had significantly higher expression levels than other genes (Table S4). These results implied that intron loss and gain in fission yeast might share some similar mechanisms.

thumbnail
Table 4. Overrepresented GO categories in intron-lost and intron-gained genes.

https://doi.org/10.1371/journal.pone.0061683.t004

As discussed above, intron losses were mainly mediated by reverse transcriptase. In the current models of intron gain, only the intron transposition model shares a similar mechanism (i.e. a requirement for reverse transcription) with intron loss. However, the intron transposition model requires similarities between newly gained introns and other extant introns, which was not observed in our study. As the selective constraint is much lower for introns than for coding regions, accumulated mutations in gained intron sequences might have resulted in them being significantly divergent from the source sequences. It is also possible that some of the identified intron gains might be intron losses in other taxa, considering the high intron loss rates in fission yeasts. False-positive results of intron gains would cause the IG genes share some false-positive similarities with IL genes.

Conclusions

In fission yeasts, we found a higher frequency of intron loss than intron gain. Although a moderate number of putative intronization and de-intronization events were observed, most cases were filtered out using transcriptome data. Careful examination of the confident cases of intronization and de-intronization revealed them to be caused by mutations in splice sites and branch sites. Although at a low frequency, imprecise intron deletions were observed, supporting the genomic deletion model of intron loss. The characteristics of most intron losses are consistent with the RT model. Similar to previous studies [22], [34], the source sequences of most newly gained introns identified in this study were not found. Some of the source sequences might have been lost during evolution, or became significantly dissimilar. It is also possible that some of the intron gains might actually be intron losses in other species. In spite of this, evidence for the tandem genomic duplication model was supported by two cases of intron gains. We also found that intron loss rates are not uniform. Some genes, like those participating in metabolism, molecular transportation and enzyme activity regulation, are more likely to lose their introns.

Supporting Information

Table S1.

Conserved introns across the four fission yeast species.

https://doi.org/10.1371/journal.pone.0061683.s001

(XLS)

Table S2.

Lost introns across the four fission yeast species.

https://doi.org/10.1371/journal.pone.0061683.s002

(XLS)

Table S3.

Gained introns across the four fission yeast species.

https://doi.org/10.1371/journal.pone.0061683.s003

(XLS)

Table S4.

Intron-lost genes and intron-gained genes in fission yeasts have higher expression levels.

https://doi.org/10.1371/journal.pone.0061683.s004

(DOC)

Figure S1.

Number of extant introns and intron loss rate are negatively correlated. The intron loss rate and the number of extant introns are negatively correlated. S. cryophilus has the largest number of extant introns and has experienced the lowest intron loss rate, while S. pombe has the fewest introns and had the highest intron loss rate. Species name abbreviations: S. cryophilus (Scry), S. octosporus (Soct), S. pombe (Spom), and S. japonicus (Sjap).

https://doi.org/10.1371/journal.pone.0061683.s005

(TIF)

Figure S2.

Large indels neighboring unique intron positions in fission yeasts. The alignments of DNA sequences around unique intron regions are shown. Exon sequences are shown in upper case while intron sequences are shown in lower case. Exonic sequence indels accompanying intron loss are marked in red. Species name abbreviations: S. cryophilus (Scry), S. octosporus (Soct), S. pombe (Spom), and S. japonicus (Sjap).

https://doi.org/10.1371/journal.pone.0061683.s006

(TIF)

Text S1.

The limitation of the Dollop program.

https://doi.org/10.1371/journal.pone.0061683.s007

(DOC)

Acknowledgments

We thank the anonymous referee for the useful comments, Daniel C. Jeffares for sharing gene expression data of fission yeasts, and Wen-Hui Duan for her help in identifying new intronizations.

Author Contributions

Conceived and designed the experiments: DKN TZ. Analyzed the data: TZ. Wrote the paper: TZ DKN.

References

  1. 1. Jeffares DC, Mourier T, Penny D (2006) The biology of intron gain and loss. Trends Genet 22: 16–22.
  2. 2. Mourier T, Jeffares DC (2003) Eukaryotic intron loss. Science 300: 1393.
  3. 3. Rogozin I, Carmel L, Csuros M, Koonin E (2012) Origin and evolution of spliceosomal introns. Biol Direct 7: 11.
  4. 4. Jeffares DC, Penkett CJ, Bahler J (2008) Rapidly regulated genes are intron poor. Trends Genet 24: 375–378.
  5. 5. Carmel L, Rogozin IB, Wolf YI, Koonin EV (2007) Patterns of intron gain and conservation in eukaryotic genes. BMC Evol Biol 7: 192.
  6. 6. Carmel L, Wolf YI, Rogozin IB, Koonin EV (2007) Three distinct modes of intron dynamics in the evolution of eukaryotes. Genome Res 17: 1034–1044.
  7. 7. Rodriguez-Trelles F, Tarro R, Ayala FJ (2006) Origins and evolution of spliceosomal introns. Annu Rev Genet 40: 47–76.
  8. 8. Roy SW, Gilbert W (2006) The evolution of spliceosomal introns: patterns, puzzles and progress. Nat Rev Genet 7: 211–221.
  9. 9. Farlow A, Meduri E, Schlotterer C (2011) DNA double-strand break repair and the evolution of intron density. Trends Genet 27: 1–6.
  10. 10. Yenerall P, Krupa B, Zhou L (2011) Mechanisms of intron gain and loss in Drosophila. BMC Evol Biol 11: 364.
  11. 11. Yenerall P, Zhou L (2012) Identifying the mechanisms of intron gain: progress and trends. Biol Direct 7: 29.
  12. 12. Belshaw R, Bensasson D (2006) The rise and falls of introns. Heredity 96: 208–213.
  13. 13. Fink GR (1987) Pseudogenes in yeast? Cell 49: 5–6.
  14. 14. Torriani Stefano FF, Stukenbrock Eva H, Brunner Patrick C, McDonald Bruce A, Croll D (2011) Evidence for extensive recent intron transposition in closely related fungi. Curr Biol 21: 2017–2022.
  15. 15. Croll D, McDonald BA (2012) Intron gains and losses in the evolution of Fusarium and Cryptococcus fungi. Genome Biol Evol 4: 1148–1161.
  16. 16. Coulombe-Huntington J, Majewski J (2007) Characterization of intron loss events in mammals. Genome Res 17: 23–32.
  17. 17. Roy SW, Gilbert W (2005) The pattern of intron loss. Proc Natl Acad Sci USA 102: 713–718.
  18. 18. Cohen NE, Shen R, Carmel L (2012) The role of reverse transcriptase in intron gain and loss mechanisms. Mol Biol Evol 29: 179–186.
  19. 19. Sharpton TJ, Neafsey DE, Galagan JE, Taylor JW (2008) Mechanisms of intron gain and loss in Cryptococcus. Genome Biol 9: R24.
  20. 20. Nielsen CB, Friedman B, Birren B, Burge CB, Galagan JE (2004) Patterns of intron gain and loss in fungi. PLoS Biol 2: e422.
  21. 21. Lin H, Zhu W, Silva J, Gu X, Buell CR (2006) Intron gain and loss in segmentally duplicated genes in rice. Genome Biol 7: R41.
  22. 22. Zhang LY, Yang YF, Niu DK (2010) Evaluation of models of the mechanisms underlying intron loss and gain in Aspergillus fungi. J Mol Evol 71: 364–373.
  23. 23. Fawcett JA, Rouzé P, Van de Peer Y (2012) Higher intron loss rate in Arabidopsis thaliana than A. lyrata is consistent with stronger selection for a smaller genome. Mol Biol Evol 29: 849–859.
  24. 24. Coulombe-Huntington J, Majewski J (2007) Intron loss and gain in Drosophila. Mol Biol Evol 24: 2842–2850.
  25. 25. Knowles DG, McLysaght A (2006) High rate of recent intron gain and loss in simultaneously duplicated Arabidopsis genes. Mol Biol Evol 23: 1548–1557.
  26. 26. Farlow A, Meduri E, Dolezal M, Hua L, Schlotterer C (2010) Nonsense-mediated decay enables intron gain in Drosophila. PLoS Genet 6: e1000819.
  27. 27. Feiber AL, Rangarajan J, Vaughn JC (2002) The evolution of single-copy Drosophila nuclear 4f-rnp genes: Spliceosomal intron losses create polymorphic alleles. J Mol Evol 55: 401–413.
  28. 28. Niu D-K, Hou W-R, Li S-W (2005) mRNA-mediated intron losses: evidence from extraordinarily large exons. Mol Biol Evol 22: 1475–1481.
  29. 29. Cho S, Jin S-W, Cohen A, Ellis RE (2004) A phylogeny of Caenorhabditis reveals frequent loss of introns during nematode evolution. Genome Res 14: 1207–1220.
  30. 30. Roy SW, Hartl DL (2006) Very little intron loss/gain in Plasmodium: Intron loss/gain mutation rates and intron number. Genome Res 16: 750–756.
  31. 31. Loh Y-H, Brenner S, Venkatesh B (2008) Investigation of loss and gain of introns in the compact genomes of Pufferfishes (Fugu and Tetraodon). Mol Biol Evol 25: 526–535.
  32. 32. Zhu T, Niu DK (2013) Frequency of intron loss correlates with processed pseudogene abundance: a novel strategy to test the reverse transcriptase model of intron loss. BMC Biol 11: 23.
  33. 33. Roy SW, Irimia M (2009) Mystery of intron gain: new data and new models. Trends Genet 25: 67–73.
  34. 34. Li W, Tucker AE, Sung W, Thomas WK, Lynch M (2009) Extensive, recent intron gains in Daphnia populations. Science 326: 1260–1262.
  35. 35. Denoeud F, Henriet S, Mungpakdee S, Aury J-M, Da Silva C, et al. (2010) Plasticity of animal genome architecture unmasked by rapid evolution of a pelagic tunicate. Science 330: 1381–1385.
  36. 36. van der Burgt A, Severing E, de Wit Pierre JGM, Collemare J (2012) Birth of new spliceosomal introns in fungi by multiplication of introner-like elements. Curr Biol 22: 1260–1265.
  37. 37. Worden AZ, Lee JH, Mock T, Rouze P, Simmons MP, et al. (2009) Green evolution and dynamic adaptations revealed by genomes of the marine picoeukaryotes micromonas. Science 324: 268–272.
  38. 38. Gao X, Lynch M (2009) Ubiquitous internal gene duplication and intron creation in eukaryotes. Proc Natl Acad Sci USA 49: 20818–20823.
  39. 39. Hankeln T, Friedl H, Ebersberger I, Martin J, Schmidt ER (1997) A variable intron distribution in globin genes of Chironomus: evidence for recent intron gain. Gene 205: 151–160.
  40. 40. Irimia M, Rukov JL, Penny D, Vinther J, Garcia-Fernandez J, et al. (2008) Origin of introns by ‘intronization’ of exonic sequences. Trends Genet 24: 378–381.
  41. 41. Roy SW (2009) Intronization, de-intronization and intron sliding are rare in Cryptococcus. BMC Evol Biol 9: 192.
  42. 42. Catania F, Lynch M (2008) Where do introns come from? PLoS Biol 6: e283.
  43. 43. Zhu ZL, Zhang Y, Long MY (2009) Extensive structural renovation of retrogenes in the evolution of the Populus genome. Plant Physiol 151: 1943–1951.
  44. 44. Szczesniak MW, Ciomborowska J, Nowak W, Rogozin IB, Makalowska I (2011) Primate and rodent specific intron gains and the origin of retrogenes with splice variants. Mol Biol Evol 28: 33–37.
  45. 45. Wood V, Gwilliam R, Rajandream MA, Lyne M, Lyne R, et al. (2002) The genome sequence of Schizosaccharomyces pombe. Nature 415: 871–880.
  46. 46. Roy SW, Gilbert W (2005) Rates of intron loss and gain: Implications for early eukaryotic evolution. Proc Natl Acad Sci USA 102: 5773–5778.
  47. 47. Rhind N, Chen Z, Yassour M, Thompson DA, Haas BJ, et al. (2011) Comparative functional genomics of the fission yeasts. Science 332: 930–936.
  48. 48. Galagan JE, Henn MR, Ma LJ, Cuomo CA, Birren B (2005) Genomics of the fungal kingdom: Insights into eukaryotic biology. Genome Res 15: 1620–1631.
  49. 49. Ng M-P, Vergara I, Frech C, Chen Q, Zeng X, et al. (2009) OrthoClusterDB: an online platform for synteny blocks. BMC Bioinformatics 10: 192.
  50. 50. Edgar R (2004) MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics 5: 113.
  51. 51. Felsenstein J (1989) PHYLIP - Phylogeny Inference Package (Version 3.2). Cladistics 5: 164–166.
  52. 52. Kent WJ (2002) BLAT–the BLAST-like alignment tool. Genome Res 12: 656–664.
  53. 53. Drabenstot SD, Kupfer DM, White JD, Dyer DW, Roe BA, et al. (2003) FELINES: a utility for extracting and examining EST-defined introns and exons. Nucleic Acids Res 31: e141.
  54. 54. Crooks GE, Hon G, Chandonia JM, Brenner SE (2004) WebLogo: a sequence logo generator. Genome Res 14: 1188–1190.
  55. 55. Cartegni L, Chew SL, Krainer AR (2002) Listening to silence and understanding nonsense: exonic mutations that affect splicing. Nat Rev Genet 3: 285–298.
  56. 56. Maere S, Heymans K, Kuiper M (2005) BiNGO: a Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks. Bioinformatics 21: 3448–3449.