Functional and evolutionary analysis of alternatively spliced genes is consistent with an early eukaryotic origin of alternative splicing
© Irimia et al; licensee BioMed Central Ltd. 2007
Received: 20 December 2006
Accepted: 04 October 2007
Published: 04 October 2007
Alternative splicing has been reported in various eukaryotic groups including plants, apicomplexans, diatoms, amoebae, animals and fungi. However, whether widespread alternative splicing has evolved independently in the different eukaryotic groups or was inherited from their last common ancestor, and may therefore predate multicellularity, is still unknown. To better understand the origin and evolution of alternative splicing and its usage in diverse organisms, we studied alternative splicing in 12 eukaryotic species, comparing rates of alternative splicing across genes of different functional classes, cellular locations, intron/exon structures and evolutionary origins.
For each species, we find that genes from most functional categories are alternatively spliced. Ancient genes (shared between animals, fungi and plants) show high levels of alternative splicing. Genes with products expressed in the nucleus or plasma membrane are generally more alternatively spliced while those expressed in extracellular location show less alternative splicing. We find a clear correspondence between incidence of alternative splicing and intron number per gene both within and between genomes. In general, we find several similarities in patterns of alternative splicing across these diverse eukaryotes.
Along with previous studies indicating intron-rich genes with weak intron boundary consensus and complex spliceosomes in ancestral organisms, our results suggest that at least a simple form of alternative splicing may already have been present in the unicellular ancestor of plants, fungi and animals. A role for alternative splicing in the evolution of multicellularity then would largely have arisen by co-opting the preexisting process.
Alternative splicing (AS) of transcripts is common in diverse eukaryotic lineages. By this mechanism, a variety of transcripts and proteins are produced from a single gene, contributing to increased transcriptome and proteome diversity. AS has been reported in a wide range of eukaryotic groups including plants, apicomplexans, diatoms, amoebae, animals and fungi [1–5]. However, it is unclear and hard to assess whether this process has arisen independently in the different lineages (as suggested by some authors, e.g. ) or whether it was already present in their last common ancestor. The spliceosome, the machinery responsible for the splicing of introns in eukaryotic genes, is ancestral to all extant eukaryotic groups with the last common ancestor possessing a complex machinery, similar to that found in most modern organisms . In addition, we recently argued that eukaryotic ancestors had weak 5' splice site boundary consensus sequences , a characteristic that is linked to the presence of AS in modern organisms . These ancestral traits thus allow for the possibility that AS arose early in eukaryotic evolution.
How can we begin to address this issue? If AS arose independently in different lineages, we might expect that different classes of genes would show varying levels of AS in separate lineages, reflecting differential evolutionary histories. In particular, genes with regulatory functions, such as transcription factors [9, 10] or signal transducers , exhibit high levels of alternative splicing in mammals, consistent with a central role for AS in generating the complexity of mammalian ontology , while basic enzymatic functions show less splice variation . By the same reasoning, if AS arose along with the rise of organismal complexity in different multicellular lineages, genes central to this complexity would likely have high AS frequencies, while conserved ancient eukaryotic gene functions might have lower AS frequencies.
Notably, the finding of significant AS in the intron-rich pathogenic unicellular fungus Cryptococcus neoformans  demonstrates that widespread AS is not restricted to multicellular or highly-differentiated organisms. Indeed, from an evolutionary viewpoint, it is not likely that AS would evolve "in order for" multicellularity to develop; rather, it is possible that AS already existed (in at least a simple form) and was then later co-opted for multicellular development.
Intron/exon structure may be an important determinant for evolution of AS. Genes with more introns have more opportunities for AS. This would be consistent with vertebrates' higher intron numbers and AS frequencies . However, recent results have shown that vertebrate intron number is not particularly high by historical metazoan standards [13–17], and that early eukaryotic ancestors likely harbored relatively high intron numbers [15, 18–22].
We studied patterns of AS in 12 well-annotated genomes from plants, fungi and animals. We compared frequencies of AS of genes of different classes according to their gene structure, evolutionary origins, phylogenetic distribution and functionality. Our major findings include: (i) ancient genes (conserved in both plants and animals/fungi) are equally likely to have known AS as 'newer' genes; (ii) ancient functions are carried by genes that show relatively high levels of AS; (iii) genes found across all lineages (suggesting that they are essential for eukaryotic life) are no more likely to show AS than are genes that have been lost in one or more lineages; and (iv) there is a strong relationship between intron number and the existence of known AS across genes. We interpret our results to support the notion that a potentially widespread AS may have been present at least as early as the unicellular ancestor of animals, fungi and plants.
Intron/exon structure and AS frequency
Age of alternatively spliced genes
Figure 2B shows the percentage of genes in each group with known alternative splicing for each species. AS was found in all groups. LSE genes showed the lowest frequency of AS in each species (significantly lower than the whole set of genes in fly, worm and Arabidopsis, p < 0.0001 by Fisher exact tests), and AF and A genes showing the highest frequency. Interestingly, the most ancient group (PAF) showed relatively high levels of AS (significantly higher than the whole set of genes in worms and Arabidopsis, p < 0.0001 by Fisher exact test, and not significantly different to this set in humans and flies), indicating no constraints against evolution of AS in ancient eukaryotic genes. In particular, we identified 36 KOGs whose genes are highly alternatively spliced in all four species, which could reflect that these gene functions have been alternatively spliced in the plant/amimal ancestor (see Additional file 1).
Gene dispensability and alternative splicing
Thus, genes encoding basic and highly conserved cellular functions are no less likely to be alternatively spliced than are other genes (for instance those involved in multicellularity or other complex functions).
Cellular location of alternatively spliced genes
Functional profile of alternatively spliced genes
Functional profiling of alternatively spliced genes thus shows that most genes encoding most cellular functions exhibit AS. Some functions seem to be especially amenable to AS, perhaps due to these gene functions being particularly improved by the production of multiple products. AS is particularly prevalent in genes associated with regulation and signaling, consistent with previous observations [9, 11]. Interestingly, the overrepresentation of AS in genes with regulatory functions previously observed in mammals is observed across lineages.
Patterns of genome-wide AS usage are similar in different eukaryotic lineages
We studied patterns of genome-wide AS in 12 eukaryotic genomes. Our major findings include:
1) a correspondence between intron number and frequency of known AS, both within and between species;
2) evidence that ancient genes show relatively high levels of known AS.
3) no evidence for elevated AS in recently evolved genes – in fact, the most recently evolved genes are less likely to have known AS;
4) no clear evidence for elevated AS in classes of genes thought to be important in the rise of multicellularity;
5) a variety of similarities in the patterns of AS across diverse species, which could reflect patterns inherited from a putative AS-rich plant-animal ancestor.
Alternatively spliced genes in animals, plants and fungi have several common features. In all studied species, AS is widely found across genes with different functions, although those associated with regulation (i.e. protein kinase activity or RNA binding) show consistently higher AS levels. Also, the species studied showed similar patterns of AS usage in genes of different evolutionary age. Finally, intron number per gene was related with AS frequency in a similar manner in all species.
The simplest hypothesis to explain these similarities is that AS is homologous in these groups, inherited from their common ancestor, and that AS patterns in the common ancestor might have been similar. However, caution is necessary in interpreting this result. Given the high rates of gains and losses of AS events, the alternative hypothesis of convergent evolution of AS patterns in the different lineages, although less parsimonious, cannot be excluded.
Ancient genes and functions show relatively high levels of AS
Also consistent with a relatively early origin of AS is our finding that recently evolved gene families (LSE) showed the lowest frequency of AS in all species (Figure 2B). Many of these genes are likely associated with newly evolved and complex lineage-specific traits in plants and animals. On the other hand, ancient gene families (PAF), which were already present in the ancestor, are highly alternatively spliced in modern organisms (Figure 2B) and a wide range of fundamental ancient functions are currently performed in eukaryotic cells by alternatively spliced genes (Figures 5 and 6), indicating no constraints for ancient genes to be alternatively spliced. Finally, gene functions that show consistently higher (e.g. RNA binding and protein kinase activity) or lower (e.g. mono-oxygenase activity) levels of AS across eukaryotes could have also had similar relative levels in the common ancestor.
Alternatively splicing and proteomic networks
We found no clear relationship between incidence of AS and gene dispensability (Figure 3). Indispensable genes tend to have large numbers of interaction partners, occupying central positions in proteomic networks, while dispensable genes usually occupy external positions in the interacting networks . These results thus suggest that AS may be integrated across all levels of eukaryotic proteomic networks.
Intron-rich gene structures is the main requirement for AS
We show that intron/exon number correlates strongly with the frequency of AS within and between genomes (Figure 1). In accordance, most intron-reduced genomes, such as those of most microsporidia and ascomycetes, show no AS  and other relatively reduced genomes, such as amoebas  or apicomplexans  do not exhibit high frequencies of AS. Interestingly, LSE genes, found to have significantly lower levels of AS, show lower average intron numbers than the other groups.
Our and others' previous work has shown that the plant-animal ancestor was at least moderately intron-rich (with at least as many introns as modern Caenorhabditis species), and that lower modern densities in some lineages reflect widespread intron loss [15, 19, 21, 23, 28–30]. Taken with present results, there are two important potential implications. First, retention of ancestral intron densities was likely an important condition for modern AS. Thus, if in fact AS played an important role in the emergence of organismal complexity [31, 32], differential retention of ancestral introns would have profound consequences for morphological evolution across lineages.
Second, intron-rich ancestors are likely to have had significant AS. All thoroughly studied intron-rich genomes show relatively high frequencies of AS, suggesting both that a complex gene structure favors AS and that AS could have an important role in most non-reduced genomes, with high numbers of introns per gene. As we mention above, this is especially interesting in light of accumulating evidence that the last common ancestor of plants and opisthokonts was at least moderately intron rich [15, 18–22] (with an estimated intron density between ~3.5  and ~7.0  introns per gene) and that it had weak consensus 5' splice site boundaries . Among modern eukaryotes, both high intron number and weak 5'ss are characteristic of diverse species with widespread alternative splicing . Therefore, these studies together strongly suggest the presence of AS in plant-animal ancestor
Intron numbers, spliceosomal errors, functionality and origin of AS
It is important to note that our present results do not address the functionality of alternative splice variants (and thus of AS) either in early eukaryotes or in modern organisms, a topic currently under debate [33, 34]. Alternative transcripts produced from the same gene might: (i) encode different functions, (ii) reflect nonfunctional (but common) variants or (iii) represent rare spliceosomal errors, which will all appear in EST databases and thus in EST-based AS annotations. It seems likely that all three cases contribute to modern transcriptome variability. If in fact our argument is correct (that early eukaryotes already utilized extensive AS), it would be interesting to know how levels of AS functionality have changed through time. Increased requirements on proteome and regulatory flexibility could have driven an increase in functional AS. In tandem, refinements in the spliceosomal machinery could have increased splicing fidelity through eukaryotic evolution, disproportionately decreasing nonfunctional AS variants.
Interestingly, the evolutionary origin of functional AS is likely related to mis-splicing (splicing errors). AS might have evolved from mis-splicing as the early eukaryotic cells evolved to use and benefit from multiple splicing outputs. Therefore, the widespread production of multiple splice forms could be a main requirement for the origin of functional AS. Thus, our results along with the likely existence of weak splice sites in early eukaryotes  do not prove that early eukaryotes had functional AS, but they strongly suggest that the last plant-animal ancestor had at least such additional splice variants available for potential participation and recruitment in biological processes.
AS in unicellular organisms and the origin of multicellularity
A striking potential implication of our results is that AS already existed in the plant-animal ancestor, a rather ancient and "primitive" unicellular eukaryote. As seen in some modern unicellular organisms (e.g. Cryptococcus), AS could have played an extensive role in the biology and evolution of these ancestral unicellular eukaryotes.
In this case, AS would have predated multicellularity and could perhaps have been recruited to allow the rise of multicellular complexity. This would resemble other biological processes, like apoptosis, whose origin precedes the rise of multicellular organisms, although the co-option of this ability was crucial for the advent of multicellularity .
Reliability of AS databases to answer evolutionary questions
Though we restricted our analysis to well-annotated genomes from long- and deeply-studied species with wide cDNA/EST coverage , it is likely that many alternative transcripts are not represented in current annotations, introducing the possibility of sampling biases. For instance, some gene types have been more thoroughly studied, and therefore may show higher proportions of annotated AS. However, such differences are unlikely to explain our central conclusions, since they are largely based on shared similarities, not differences (similar incidence of alternative splicing in old and new genes, dispensable and indispensable genes, genes of different functional classes), and clear associations across large numbers of genes. Indeed, EST coverage in C. elegans does not correlate with fractions of predicted alternatively spliced genes across different GO categories or gene ages, suggesting that the observed patterns are not due to EST sampling (Additional file 5).
Another potential problem associated with EST based annotation is the source of these data, especially in the case of humans. Many human EST libraries derive from cancerous or abnormal cell lineages, thought to contain aberrant, disease related alternative splice variants . If these variants are more frequent among some groups of genes, this could introduce a bias in our results. However, our results for functional ontologies are based on data from a variety of species and the patterns presented here are consistent among all the species despite this potential source of noise in human databases.
We used genome annotation databases for this analysis because they are constructed using very similar approaches and so they might be more suitable for comparing these species. Supporting the quality of the studies databases, we found in the thorough analysis of the C. elegans Wormbase dataset that the vast majority of alternatively spliced isoforms included are well supported by experimental evidence, and only very few cases represent annotation mistakes.
Finally, it should be noted that the current results concern only presence/absence of AS, rather than number of alternative transcripts. Since alternatively spliced genes may produce from 2 to hundreds of isoforms, the effects on the transcriptome output will be quite different across genes, and further studies should address this important issue. Instead, we have concentrated on known AS presence/absence in a gene, which is likely to be less sensitive to differences in EST sampling. Similarly, different positions of the AS events in each gene may produce very different outputs with different effects on the organism's fitness. Our analysis does not take differences in function between splice variants into account. However, these considerations are unlikely to affect our conclusions about AS in early eukaryotes.
To verify our hypotheses on the emergence of AS, further studies of conservation of AS mechanisms (i.e. use of splicing regulators), splicing boundaries, and expression patterns will be necessary. Characterization of levels and patterns of AS in diverse additional eukaryotes, particularly unicellular intron-rich species, will also be important. Species of apicomplexans  and diatoms  have already been shown to have AS. EST and genome sequencing projects will provide data to assess whether AS was an ancestral feature of eukaryotic organisms, playing another important role in the complex RNA processing of early eukaryotes [7, 38].
We find similar patterns of genome-wide AS usage in different eukaryotic lineages. We show that ancient genes and functions (present in the common ancestor of plants and opisthokonts) have high levels of AS in modern organisms indicating no bias against AS of these genes. These genes were also likely intron-rich in the common ancestor [15, 18–22], which we find to be the main requirement for AS. Since the spliceosomal machinery is widely conserved throughout eukaryotes [7, 38], our results favor the hypothesis that some form of AS appeared relatively early in eukaryotic evolution, at least in the unicellular common ancestor of plants, animals and fungi (around 1300 million years ago [39, 40], quite early in the evolution of extant eukaryotes ). This implies AS appeared before the rise of multicellular organisms, and could therefore have an important role in the biology of ancient unicellular organisms.
Datasets and resources
GenBank genome annotations were downloaded from NCBI webpage  or Ensembl database  for six metazoa: human (Homo sapiens (NCBI 36 Ensembl 38.36)), mouse (Mus musculus (NCBIm35 Ensembl 38.35)), chicken (Gallus gallus (WASHUC1 Ensembl 38.1n)), zebra fish (Danio rerio (Zv5 Ensembl 38.35e)), fruitfly (Drosophila melanogaster (FlyBase release 4.1)), worm (Caenorhabditis elegans (WS150 Wormbase 38.150a)); four fungi: Cryptococcus neoformans B3501-A (NC_006670, NC_006679–NC_006687, NC006691–NC006694), Schizosaccharomyces pombe 972h (AL672256-8.1), Saccharomyces cerevisiae YJM789 (AAFW00000000.1), and Encephalitozoon cuniculi GB-M1 (AL391737.1, AL590442-50.1); one plant: Arabidopsis thaliana (NC_003070.5, NC_003071.3, NC_003074.4, NC_003075.3, NC_003076.4, based on TAIR genome annotations); and one apicomplexan: Plasmodium falciparum HB3 (AANS00000000.1).
Quality of the databases
For many species, there are currently various genomic databases available having information on AS. In each such case, we used the richest and most up-to-date database, containing the largest number of described alternatively spliced isoforms. Each of the databases was constructed by automatic predictions of gene structures, generally combining different software, and then confirmed by mapping ESTs and cDNAs onto genomic sequences and usually manually curated. Described alternatively spliced isoforms are based on alignments of ESTs and cDNAs onto these gene models. For each genome, some subsets of genes are manually annotated and thoroughly studied. Detailed explanations of the methods using in deriving these databases are available from the primary references [3, 44–46] and from the Ensembl, TAIR and NCBI web pages.
To better understand these genome annotations we further explored one of them, the Wormbase annotation of C. elegans. We studied each gene that was annotated to be alternatively spliced. We found that 97.8% of the isoforms had one or more kinds of experimental support (RNA, ORF sequence tags (OSTs) and/or ESTs), described as "confirmed by cDNA(s)" or "partially confirmed by cDNA(s)", thus only ~2.2% of isoforms are predictions. In addition, for each case we aligned the different isoforms against the genomic sequence. In only 2.4% of cases, we found that slight errors, generally one or two base indels, were responsible for the annotation of alternative splicing.
To test the effects of sampling biases we analyzed the coverage of ESTs per Kb for each gene and for each category of gene. For each gene we counted the number of matching ESTs per gene available in Wormbase and divided it by the length of the longest transcript. Importantly, no correlation was found between EST coverage and percentage of genes that were alternatively spliced for any of the GO classifications (cellular location, molecular function, or biological process), or for age of gene (Additional file 4).
For evolutionary analyses we used the Eukaryotic Clusters of Orthologous Groups (KOGs), which includes putative ortholog sets for seven species: Homo sapiens, Caenorhabditis elegans, Drosophila melanogaster, Arabidopsis thaliana, Saccharomyces cerevisae, Schizosaccharomyces pombe and Encephalitozoon cuniculi. This database is suitable for the study of protein functions from an evolutionary perspective, addressing issues such as origin of gene functions or their dispensability during eukaryotic evolution . Data were downloaded from the corresponding NCBI webpage  and linked to current genome annotation databases. Data was carefully filtered for repetitions resulting from database linking and from the updating of annotations of the genes included in the KOG database.
Gene Ontology analyses
Gene Ontology annotations for cellular location (C), molecular function (F) and biological process (P) for genes from H. sapiens, M. musculus, C. elegans, D. melanogaster, C. neoformans and A. thaliana were obtained from Gene Ontology Consortium website . This database was linked to Ensembl or NCBI gene ID's, using UniProt ID's , if necessary. Data was carefully filtered to avoid redundancies due to database linking. We analyzed in H. sapiens a total of 18589 entries in 458 C-GO categories, 36653 entries in 2063 F-GO categories and 29162 in 1867 P-GO categories; in M. musculus, 19002 entries in 450 C-GO categories, 33461 entries in 1898 F-GO categories and 24793 in 2119 P-GO categories; in D. melanogaster, 5811 entries in 411 C-GO categories, 11916 in 1571 F-GO categories and 20307 in 1657 P-GO categories; in C. elegans, 7151 entries in 174 C-GO categories, 21627 in 837 F-GO categories and 9579 in 562 P-GO categories; in C. neoformans 4578 entries in 279 C-GO categories, 3298 in 969 F-GO categories and 5564 in 884 P-GO categories; in A. thaliana, 26592 entries in 281 C-GO categories, 34959 in 1255 F-GO categories and 27845 in 1210 P-GO categories.
Percentages of alternatively spliced genes were calculated for each category under study. The correspondent 95% confidence interval (CI) was calculated for each percentage using the standard formula: , where a is the fraction of alternatively spliced genes in a given group and N the total number of genes in that group.
To assess statistical under/overrepresentation of AS in each studied category, we used Fisher exact tests (assuming the one-sided probability for similarity of samples). For each of the three blocks of GO terms presented in Figures 4, 5 and 6 (cellular location, molecular function and biologcial process, respectively), we corrected for multiple testing using full Bonferroni correction.
Analysis of alternative isoforms
Gene, intron and exon information was extracted from their annotation using a PERL script "Intron_finder.pl" as previously described . For each gene, custom PERL scripts assessed intron number and alternative splicing (i.e. the position or length of any alignable intron or internal exon is different in at least two different isoforms). AS events in P. falciparum were extracted from .
MI was supported by Fundación Caixa Galicia, SWR by the Allan Wilson Centre of Molecular Ecology and Evolution and JLR by a Carlsberg Foundation Grant (21-00-0680). We thank Irene Sicilia and Ignacio Maeso for helpful comments and discussions during the preparation of this manuscript, Klaus Schliep for helping with the statistical analyses and Tim White and Michael Woodhams for their help in programming.
- Yatzkan E, Yarden O: The B regulatory subunit of protein phosphatase 2A is required for completion of macroconidiation and other developmental processes in Neurospora crassa. Mol Micro. 1999, 31: 197-209. 10.1046/j.1365-2958.1999.01161.x.View ArticleGoogle Scholar
- Ye D, Lee CH, Queener SF: Differential splicing of Pneumocystis carinii f. sp. carinii inosine 5'-monophosphate dehydrogenase pre-mRNA. Gene. 2001, 263: 151-158. 10.1016/S0378-1119(00)00577-1.View ArticlePubMedGoogle Scholar
- Loftus BJ, Fung E, Roncaglia P, Rowley D, Amedeo P, Bruno D, Vamathevan J, Miranda M, Anderson IJ, Fraser JA, Allen JE, Bosdet IE, Brent MR, Chiu R, Doering TL, Donlin MJ, D'Souza CA, Fox DS, Grinberg V, Fu J, Fukushima M, Haas BJ, Huang JC, Janbon G, Jones SJM, Koo HL, Krzywinski MI, Kwon-Chung JK, Lengeler KB, Maiti R, Marra MA, Marra RE, Mathewson CA, Mitchell TG, Pertea M, Riggs FR, Salzberg SL, Schein JE, Shvartsbeyn A, Shin H, Shumway M, Specht CA, Suh BB, Tenney A, Utterback TR, Wickes BL, Wortman JR, Wye NH, Kronstad JW, Lodge JK, Heitman J, Davis RW, Fraser CM, Hyman RW: The genome of the Basidiomycetous yeast and human pathogen Cryptococcus neoformans. Science. 2005, 307: 1321-1324. 10.1126/science.1103773.PubMed CentralView ArticlePubMedGoogle Scholar
- Li L, Brunk BP, Kissinger JC, Pape D, Tang K, Cole RH, Martin J, Wylie T, Dante M, Fogarty SJ, Howe DK, Liberator P, Diaz C, Anderson J, White M, Jerome ME, Johnson EA, Radke JA, Stoeckert CJ, Waterston RH, Clifton SW, Roos DS, Sibley LD: Gene discovery in the Apicomplexa as revealed by EST sequencing and assembly of a comparative gene database. Genome Res. 2003, 13: 443-454. 10.1101/gr.693203.PubMed CentralView ArticlePubMedGoogle Scholar
- Kinoshita S, Kaneko G, Lee JH, Kikuchi K, Yamada H, Hara T, Itoh Y, Watabe S: A novel heat stress-responsive gene in the marine diatom Chaetoceros compressum encoding two types of transcripts, a trypsin-like protease and its related protein, by alternative RNA splicing. Eur J Biochem. 2001, 268: 4599-4609. 10.1046/j.1432-1327.2001.02360.x.View ArticlePubMedGoogle Scholar
- Ast G: How did alternative splicing evolve?. Nat Rev Genet. 2004, 5: 773-782. 10.1038/nrg1451.View ArticlePubMedGoogle Scholar
- Collins L, Penny D: Complex spliceosomal organization ancestral to extant eukaryotes. Mol Biol Evol. 2005, 22: 1053-1066. 10.1093/molbev/msi091.View ArticlePubMedGoogle Scholar
- Irimia M, Penny D, Roy SW: Coevolution of genomic intron number and splice sites. Trends Genet. 2007, 23: 321-325. 10.1016/j.tig.2007.04.001.View ArticlePubMedGoogle Scholar
- Zavolan M, Kondo S, Schonbach C, Adachi J, Hume DA, RIKEN GER Group, GSL Members, Hayashizaki Y, Gaasterland T: Impact of alternative initiation, splicing, and termination on the diversity of the mRNA transcripts encoded by the mouse transcriptome. Genome Res. 2003, 13: 1290-1300. 10.1101/gr.1017303.PubMed CentralView ArticlePubMedGoogle Scholar
- Taneri B, Snyder B, Novoradovsky A, Gaasterland T: Alternative splicing of mouse transcription factors affects their DNA-binding domain architecture and is tissue specific. Genome Biol. 2004, 5: R75-10.1186/gb-2004-5-10-r75.PubMed CentralView ArticlePubMedGoogle Scholar
- Modrek B, Resch A, Grasso C, Lee C: Genome-wide detection of alternative splicing in expressed sequences of human genes. Nucl Acids Res. 2001, 29: 2850-2859. 10.1093/nar/29.13.2850.PubMed CentralView ArticlePubMedGoogle Scholar
- Kim H, Klein R, Majewski J, Ott J: Estimating rates of alternative splicing in mammals and invertebrates. Nat Genet. 2004, 36: 915-916. 10.1038/ng0904-915.View ArticlePubMedGoogle Scholar
- Guiliano DB, Hall N, Jones SJ, Clark LN, Corton CH, Barrell BG, Blaxter ML: Conservation of long-range synteny and microsynteny between the genomes of two distantly related nematodes. Genome Biol. 2002, 3: R57-10.1186/gb-2002-3-10-research0057.View ArticleGoogle Scholar
- Banyai L, Patthy L: Evidence that human genes of modular proteins have retained significantly more ancestral introns than their fly or worm orthologues. FEBS Lett. 2004, 565: 127-132. 10.1016/j.febslet.2004.03.088.View ArticlePubMedGoogle Scholar
- Roy SW, Gilbert W: Complex early genes. Proc Natl Acad Sci USA. 2005, 102: 1986-1991. 10.1073/pnas.0408355101.PubMed CentralView ArticlePubMedGoogle Scholar
- Raible F, Tessmar-Raible K, Osoegawa K, Wincker P, Jubin C, Balavoine G, Ferrier D, Benes V, de Jong P, Weissenbach J, Bork P, Arendt D: Vertebrate-type intron-rich genes in the marine annelid Platynereis dumerilii. Science. 2005, 310: 1325-1326. 10.1126/science.1119089.View ArticlePubMedGoogle Scholar
- Roy SW: Intron-rich ancestors. Trends Genet. 2006, 22: 468-471. 10.1016/j.tig.2006.07.002.View ArticlePubMedGoogle Scholar
- Csurös M: Likely scenarios of intron evolution. 2005, Springer LNCS 3678, 47-60.Google Scholar
- Rogozin IB, Sverdlov AV, Babenko VN, Koonin EV: Analysis of evolution of exon-intron structure of eukaryotic genes. Brief Bioinform. 2005, 6: 118-134. 10.1093/bib/6.2.118.View ArticlePubMedGoogle Scholar
- Nguyen HD, Yoshihama M, Kenmochi N: New maximum likelihood estimators for eukaryotic intron evolution. PLoS Comput Biol. 2005, 1: e79-10.1371/journal.pcbi.0010079.PubMed CentralView ArticlePubMedGoogle Scholar
- Yoshihama M, Nakao A, Nguyen HD, Kenmochi N: Analysis of ribosomal protein gene structures: implications for intron evolution. PLoS Genet. 2006, 2: e25-10.1371/journal.pgen.0020025.PubMed CentralView ArticlePubMedGoogle Scholar
- Roy SW, Gilbert W: Rates of intron loss and gain: implications for early eukaryotic evolution. Proc Natl Acad Sci USA. 2005, 102: 5773 -55778. 10.1073/pnas.0500383102.PubMed CentralView ArticlePubMedGoogle Scholar
- Carmel L, Wolf YI, Rogozin IB, Koonin EV: Three distinct modes of intron dynamics in the evolution of eukaryotes. Genome Res. 2007, 17: 1034-1044. 10.1101/gr.6438607.PubMed CentralView ArticlePubMedGoogle Scholar
- Tatusov R, Fedorova N, Jackson J, Jacobs A, Kiryutin B, Koonin E, Krylov D, Mazumder R, Mekhedov S, Nikolskaya A, Rao BS, Smirnov S, Sverdlov A, Vasudevan S, Wolf Y, Yin J, Natale D: The COG database: an updated version includes eukaryotes. BMC Bioinformatics. 2003, 4: 41-10.1186/1471-2105-4-41.PubMed CentralView ArticlePubMedGoogle Scholar
- Krylov DM, Wolf YI, Rogozin IB, Koonin EV: Gene loss, protein sequence divergence, gene dispensability, expression level, and interactivity are correlated in eukaryotic evolution. Genome Res. 2003, 13: 2229-2235. 10.1101/gr.1589103.PubMed CentralView ArticlePubMedGoogle Scholar
- Davis CA, Brown MPS, Singh U: Functional Characterization of Spliceosomal Introns and Identification of U2, U4, and U5 snRNAs in the Deep-Branching Eukaryote Entamoeba histolytica. Eukaryotic Cell. 2007, 6: 940-948. 10.1128/EC.00059-07.PubMed CentralView ArticlePubMedGoogle Scholar
- Singh N, Preiser P, Renia L, Balu B, Barnwell J, Blair P, Jarra W, Voza T, Landau I, Adams JH: Conservation and developmental control of alternative splicing in maebl among malaria parasites. J Mol Biol. 2004, 343: 589-599. 10.1016/j.jmb.2004.08.047.View ArticlePubMedGoogle Scholar
- Slamovits CH, Keeling PJ: A high density of ancient spliceosomal introns in oxymonad excavates. BMC Evol Biol. 2006, 6:34:Google Scholar
- Roy SW, Gilbert W: The evolution of spliceosomal introns: patterns, puzzles and progress. Nat Rev Genet. 2006, 7: 211-221.PubMedGoogle Scholar
- Sverdlov AV, Rogozin IB, Babenko VN, Koonin EV: Conservation versus parallel gains in intron evolution. Nucl Acids Res. 2005, 33: 1741 -11748. 10.1093/nar/gki316.PubMed CentralView ArticlePubMedGoogle Scholar
- Modrek B, Lee C: A genomic view of alternative splicing. Nat Genet. 2002, 30: 13-19. 10.1038/ng0102-13.View ArticlePubMedGoogle Scholar
- Kim E, Magen A, Ast G: Different levels of alternative splicing among eukaryotes. Nucl Acids Res. 2007, 35: 125–131-PubMed CentralPubMedGoogle Scholar
- Sorek R, Shamir R, Ast G: How prevalent is functional alternative splicing in the human genome?. Trends Genet. 2004, 20: 68-71. 10.1016/j.tig.2003.12.004.View ArticlePubMedGoogle Scholar
- Rukov JL, Irimia M, Mork S, Lund VK, Vinther J, Arctander P: High Qualitative and Quantitative Conservation of Alternative Splicing in Caenorhabditis elegans and Caenorhabditis briggsae. Mol Biol Evol. 2007, 24: 909-917. 10.1093/molbev/msm023.View ArticlePubMedGoogle Scholar
- Bidle KD, Falkowski PG: Cell death in plantonik, photosynthetic microorganisms. Nat Rev Micro. 2004, 2: 643-655. 10.1038/nrmicro956.View ArticleGoogle Scholar
- Collins L, Penny D: Investigating the intron recognition mechanism in eukaryotes. Mol Biol Evol. 2006, 23: 901-910. 10.1093/molbev/msj084.View ArticlePubMedGoogle Scholar
- Baranova AV, Lobashev AV, Ivanov DV, Krukovskaya LL, Yankovsky NK, Kozlov AP: In silico screening for tumour-specific expressed sequences in human genome. FEBS Lett. 2001, 508: 143-148. 10.1016/S0014-5793(01)03028-9.View ArticlePubMedGoogle Scholar
- Kurland CG, Collins LJ, Penny D: Genomics and the irreducible nature of eukaryote cells. Science. 2006, 312: 1011-1014. 10.1126/science.1121674.View ArticlePubMedGoogle Scholar
- Douzery EJP, Snell EA, Bapteste E, Delsuc F, Philippe H: The timing of eukaryotic evolution: Does a relaxed molecular clock reconcile proteins and fossils?. Proc Natl Acad Sci USA. 2004, 101: 15386-15391. 10.1073/pnas.0403984101.PubMed CentralView ArticlePubMedGoogle Scholar
- Hedges SB, Blair JE, Venturi ML, Shoe JL: A molecular timescale of eukaryote evolution and the rise of complex multicellular life. BMC Evol Biol. 2004, 4: 2-10.1186/1471-2148-4-2.PubMed CentralView ArticlePubMedGoogle Scholar
- Keeling PJ, Burger G, Durnford DG, Lang BF, Lee RW, Pearlman RE, Roger AJ, Gray MW: The tree of eukaryotes. Trends Ecol Evol. 2005, 20: 670-676. 10.1016/j.tree.2005.09.005.View ArticlePubMedGoogle Scholar
- NCBI. [http://www.ncbi.nlm.nih.gov]
- Ensembl. [http://www.ensembl.org]
- Curwen V, Eyras E, Andrews TD, Clarke L, Mongin E, Searle SMJ, Clamp M: The Ensembl Automatic Gene Annotation System. Genome Res. 2004, 14: 942-950. 10.1101/gr.1858004.PubMed CentralView ArticlePubMedGoogle Scholar
- Haas BJ, Delcher AL, Mount SM, Wortman JR, Smith RK, Hannick LI, Maiti R, Ronning CM, Rusch DB, Town CD, Salzberg SL, White O: Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies. Nucl Acids Res. 2003, 31: 5654-5666. 10.1093/nar/gkg770.PubMed CentralView ArticlePubMedGoogle Scholar
- Hild M, Beckmann B, Haas SA, Koch B, Solovyev V, Busold C, Fellenberg K, Boutros M, Vingron M, Sauer F, Hoheisel JD, Paro R: An integrated gene annotation and transcriptional profiling approach towards the full gene content of the Drosophila genome. Genome Biol. 2003, 5: R3-10.1186/gb-2003-5-1-r3.PubMed CentralView ArticlePubMedGoogle Scholar
- Koonin EV, Fedorova ND, Jackson JD, Jacobs AR, Krylov DM, Makarova KS, Mazumder R, Mekhedov SL, Nikolskaya AN, Rao BS, Rogozin IB, Smirnov S, Sorokin AV, Sverdlov AV, Vasudevan S, Wolf YI, Yin YJ, DA N: A comprehensive evolutionary classification of proteins encoded in complete eukaryotic genomes. Genome Biol. 2004, 5: R7-10.1186/gb-2004-5-2-r7.PubMed CentralView ArticlePubMedGoogle Scholar
- KOG database. [http://ftp.ncbi.nih.gov/pub/COG/KOG/]
- Gene Ontology Consortium. [http://www.geneontology.org]
- UniProt. [http://www.ebi.uniprot.org]
- Scripps Genome Centre. [http://www.sgc.ucsd.edu/autodb/browse.php?db=PfalSDB2]
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.