Protein functional links in Trypanosoma brucei, identified by gene fusion analysis
© Dimitriadis et al; licensee BioMed Central Ltd. 2011
Received: 11 January 2011
Accepted: 5 July 2011
Published: 5 July 2011
Domain or gene fusion analysis is a bioinformatics method for detecting gene fusions in one organism by comparing its genome to that of other organisms. The occurrence of gene fusions suggests that the two original genes that participated in the fusion are functionally linked, i.e. their gene products interact either as part of a multi-subunit protein complex, or in a metabolic pathway. Gene fusion analysis has been used to identify protein functional links in prokaryotes as well as in eukaryotic model organisms, such as yeast and Drosophila.
In this study we have extended this approach to include a number of recently sequenced protists, four of which are pathogenic, to identify fusion linked proteins in Trypanosoma brucei, the causative agent of African sleeping sickness. We have also examined the evolution of the gene fusion events identified, to determine whether they can be attributed to fusion or fission, by looking at the conservation of the fused genes and of the individual component genes across the major eukaryotic and prokaryotic lineages. We find relatively limited occurrence of gene fusions/fissions within the protist lineages examined. Our results point to two trypanosome-specific gene fissions, which have recently been experimentally confirmed, one fusion involving proteins involved in the same metabolic pathway, as well as two novel putative functional links between fusion-linked protein pairs.
This is the first study of protein functional links in T. brucei identified by gene fusion analysis. We have used strict thresholds and only discuss results which are highly likely to be genuine and which either have already been or can be experimentally verified. We discuss the possible impact of the identification of these novel putative protein-protein interactions, to the development of new trypanosome therapeutic drugs.
Proteins exert their diverse functions usually through interactions with other molecules, and indeed often through interactions with other proteins. Protein-protein interactions are currently the focus of intensive study, as they allow functional characterisation of proteins and help interpret the role of uncharacterised gene products in organisms with fully sequenced genomes. Apart from direct biochemical analysis to detect protein-protein interactions, an in silico approach is sometimes used to predict protein-protein interactions. This fusion analysis (also known as "Rosetta stone" method) takes advantage of the study of genomic structures and sequence similarity to detect putative interacting protein pairs, which, importantly might not have been suspected based on current biochemical knowledge. Briefly, if a pair of non-homologous proteins which are found in different genomic regions in organism A, are found fused into a single ORF in organism B, this suggests that the two independent proteins in organism A may interact. These protein-protein interactions may be transient or more long-lived, either within a metabolic pathway, or as part of a multi-subunit protein complex.
Fusion analysis has been used to identify putative protein-protein interactions in completely sequenced genomes of various prokaryotes, and eukaryotes [1–13]. Here we have applied gene fusion analysis to a number of recently sequenced protists, and in particular tried to infer interacting protein pairs in the pathogenic parasite Trypanosoma brucei. Trypanosome brucei, a flagellated parasitic protist, is responsible for African trypanosomiasis, a neglected disease known as sleeping sickness in humans. The protozoan uses the tsetse fly as an insect vector, and the sickness is fatal if untreated. All the available treatment drugs are generally unsatisfactory, due to dangerous side effects, high cost of production, and difficulty in distribution . Protein-protein interaction analysis can thus provide clues into new protein functions and new potential drug targets. Importantly, T. brucei is amenable to genetic manipulation for verification of the results presented here.
List of organisms used in this study.
Late potato blight
(1) Giardia intestinalis, another flagellated parasite in the excavate group, is a common pathogen infecting not only humans, but also dogs, birds and cats. This single-celled organism is responsible for giardiasis, an infection of the small intestine which causes diarrhea and which may be fatal for people with a compromised immune system .
(2) Candida albicans is a diploid fungus, residing in the human mouth and gastrointestinal tract. Under normal conditions, the microorganism does not affect humans. However, under certain circumstances, the overgrowth of C. albicans results in candidiasis, also known as "thrush", which occurs in the blood and genital track and mainly affects people with a compromised immune system .
(3) Entamoeba histolytica is an amoeba that infects mammals, such as dogs and cats along with human beings. Entamoeba infection leads to amoebic dysentery and liver abscess, including fulminating dysentery, bloody diarrhea, weight loss, fatigue, abdominal pain, and amoeboma .
(4) Phytophthora infestans, an oomycete that affects agricultural crops, is responsible for the late blight potato disease, also known as potato blight. The organism can also infect tomatoes .
Three model organisms were also used in this study:
(5) Dictyostelium discoideum, an amoeba with an asexual life cycle, is a natural host for many bacteria, some digested and some not, which lead to the death of the host after their proliferation. It might constitute a role model organism, to identify how macrophage defends itself against intruders [19, 20].
(6) Chlamydomonas reinhardtii, a single celled green alga is a model organism mainly used to study cell mobility, how the cells regulate their proteome to control flagellar length, and how cells respond to changes in mineral nutrition. In addition, Chlamydomonas reinhardtii attracts great interest due to its ability to photosynthetically produce molecular hydrogen [21, 22].
(7) Monosiga brevicollis, a unicellular flagellated organism, is part of the Choanoflagellates which are aquatic protists and the closest known relatives of metazoans .
The automatic analysis identified putative gene fusions in all organisms, but we discuss only those in Entamoeba, Phytophthora, Chlamydomonas and Monosiga, which passed all further verification steps. Two of the results have previously been experimentally verified.
Results and Discussion
Summary of results from the domain fusion analysis.
EMBL Bank Accession
The number of interactions identified is lower than might be expected, but it should be noted that our method is highly selective. We tested the performance of our automatic in-house software by comparing the same organisms analysed by Enright et al.  and we detected almost 90% of the events reported by Enright et al. (Additional file 1). However, only 20% of the events reported by Enright et al. conform to all our selection criteria (%coverage, similarity, etc.) although some novel events were also detected by our program which were not reported by Enright et al. (Additional file 1).
Example of fusion links in Phytophthora infestans(EEY58132)
When we examine the evolution of the fusion linked protein pair across the full range of eukaryotes and prokaryotes, the data suggest multiple independent fusion events within the archaeplastida (in diatoms, brown algae, and oomycetes Figure 1B). Only one of the two proteins of the composite is conserved in prokaryotes (Figure 1B), namely the hydroxymethylglutaryl-CoAlyase, since prokaryotes do not posses the full ubiquitylation machinery. Although divergent ESCRTIII factors have been identified recently , these are not readily detectable by BLAST. Surprisingly, only the Snf7 part is conserved in Leishmania, while the hydroxymethylglutaryl-CoAlyase enzyme seems to be missing (, see supplementary table ten). It is thought that in L. major HMGCoA is incorporated directly into sterols by the isoprenoid synthetic pathway .
Example of fusion links in Monosiga brevicolis(EDQ88211)
Example of fusion links in Entamoeba histolytica(EAL47672)
Example of fusion links in Chlamydomonas reinhardtii(EDP05938)
From the automatic analysis, we found 6 predicted fusion links between pairs of proteins in the two species. Following the more detailed analysis, only two of these, EDP05938 & EDP08267, conformed to all our selection criteria. The domain architecture of the fusion linked proteins identified in Chlamydomonas reinhardtii correspond to the domain architecture of the corresponding split proteins pair in the T. brucei proteome.
The T. brucei proteins, AAX79872 and EAN76725, are non-homologous, reside on different chromosomes, and are annotated as "putative, DNA topoisomerase IB, large subunit" and "putative, DNA topoisomerase IB, small subunit", respectively. The region of alignment between EDP05938 and AAX79872 extends for 464 amino acids, and consists of two domains: a non-conserved hydrophilic N terminus, and a DNA-binding fragment (PF02919) (Figure 4A). The region of alignment between EDP05938 and EAN76725 extends for 73 amino acids, and coincides with the C-terminal catalytic core (PF01028) (Figure 4A). In all other eukaryotes, outside the kinetoplastids, DNA topoisomerase IB exists as a single fused protein (Figure 4B), and the apparent fission in T. brucei was previously identified by sequencing and protein purification, and experimentally verified by catalytic activity characterisation of the protein pair, as well as genetic studies of essentiality of the genes encoding both subunits [34, 35]. Only the large subunit is conserved in bacteria, and neither the large nor the small subunit are found in the euryarchaeota (Figure 4B).
The T. brucei proteins, AAX79657 and EAN76651, are non-homologous, reside on different chromosomes, and are annotated as "putative, electron transfer protein and "putative, succinate dehydrogenase", respectively. The region of alignment between EDP08267 and AAX79657 extends for 115 amino acids, and consists of the N-terminal half of the multi-domain succinate dehydrogenase/fumarate reductase iron-sulfur subunit (IPR00489, Figure 5A). The region of alignment between EDP08267 and EAN76651 extends for 92 amino acids, and consists of the C-terminal half of the multi domain succinate dehydrogenase/fumarate reductase iron-sulfur subunit (Figure 5A). Indeed, one of the T. brucei proteins, AAX79657, corresponds to the first half of the "succinate dehydrogenase iron-sulfur subunit of complex II", and the other, EAN76651, to the second half. Also both proteins are similar to, for example, protein SDH2 from Schizosaccharomyces pombe (P21911) which is annotated as "Succinate dehydrogenase [ubiquinone] iron-sulfur subunit, mitochondrial", with AAX79657 aligning to the first half and EAN76651 aligning with the second half. Interestingly, this protein binds two iron-sulfur clusters, one at 34-114 aa, and one at 155-185 aa, so in T. brucei these two domains are split between the two proteins. Succinate dehydrogenase (also known as complex II) is part of the mitochondrial electron transport chain for respiration/oxidative phosphorylation, which is generally thought to be inherited from the ancestor of mitochondria, i.e. from bacteria. So, in bacteria and most eukaryotes this protein is fused, but in trypanosomes it is split into two (Figure 5B). This split is conserved in other organisms similar to T. brucei, such as T. cruzi and Leismania. Succinate dehydrogenase (EC 184.108.40.206) was originally reported as not found in the T. brucei genome publication  (supplementary table ten). However, the perplexing result identified by our fusion analysis method was recently verified experimentally in a publication which identified all the components of complex II in T. cruzi, and which reported that SDH2 is encoded by two different proteins (XP_847169, and XP_826981, which correspond to AAX79657 and EAN76651, respectively) .
Two polypeptides A and B in one organism, are likely to interact if their homologues are expressed as a single polypeptide AB in another. The in silico method used to detect such protein fusions is called domain fusion analysis and the composite polypeptide AB, is referred to as a Rosetta Stone protein, as it gives information about a functional link between domains A and B. The method was introduced by Marcotte et al.  and Enright et al , and is used to infer that two genes or proteins, which are not necessarily similar to each other, i.e. have different domain architectures, may interact, i.e. participate in the same biological pathway or be part of the same protein complex. It should be noted that the domain fusion analysis method often detects "promiscuous" or paralogous domains, which occur at a high frequency in many different protein sequences that do not share similar functions [10, 12]. In the present study, one major goal was to exhaustively check the results to remove false positives, thereby increasing the robustness of predictions made using the Rosetta Stone analysis.
We analysed the proteome of Trypanosoma brucei against seven divergent protists. The automatic analysis, based on the BLASTp algorithm with appropriate thresholds for E-value, alignment length, protein coverage, and excluding homologous sequences, produced 81 putative composites, i.e. 3-38 fusion events detected in each species (Table 2). After verification by reverse BLAST, and by looking at the functional domain architecture, we rejected 85% of the putative composites. The remaining 12 results were analysed further by checking for conservation in the closely related species Leishmania major, after which only 5 composites were considered genuine. This result can be considered very conservative compared to previous analyses which for example, analysed 30 microbial genomes and detected 16-458 fusions in each . This is most likely due to the more strict verification criteria used in the present study, including 70% protein coverage in alignments , reverse BLAST , and checking against the closely related species L. major. Indeed, the selectivity and the performance of our automatic in-house software were tested by comparing the same organisms analysed by Enright et al. . Although almost 90% of the events reported by Enright et al. were also detected by our method (Additional file 1), only 20% of these conformed to all our selection criteria (%coverage, similarity, etc.). Many are classified by our software as paralogues, or participate in multiple fusions events indicative of promiscuous domains that are found in many modular proteins. However, our software also detected a number of events not reported by Enright et al. (Additional file 1) so, although it is selective, it is also highly sensitive. Nonetheless, the lower number of detected fusion events among the species analysed may be indicative of a lower occurrence of protein fusions or fissions within protists, as opposed to prokaryotes, yeast, and metazoa; further analysis including more species would be needed to verify this. The fact that most of the results of the automatic analysis did not pass our verification criteria, indicates a very high occurrence of false positives, and highlights the need for extra verification steps, especially reverse BLAST . A 36.4% false positive rate was reported by Marcotte et al.  not including proteins annotated as "unknown". The extra verification step proposed here, checking for conservation of the fusion or fission event in a closely related species (in this case, Leishmania major for Trypanosoma brucei), is a generally applicable verification method that can be useful for other domain fusion analysis studies.
Of the five results analysed in detail, two have previously been independently identified and experimentally verified in T. brucei, namely the two fusion events identified in Chlamydomonas resulting in a split topoisomerase IB, and a split succinate dehydrogenase in T. brucei [34–36]. These provide direct experimental confirmation that the fusion-linked proteins are indeed part of the same complex and interact, confirming that the in silico analysis is finding functionally relevant pairs of genes. Both cases appear to result from a unique fission event in the kinetoplastida. The reason for this is unknown (it may be related to the notoriously unique nature of the trypanosome mitochondria, also known as kinetoplasts), but the fact that these heterodimeric proteins are unique to the kinetoplastids, marks them as potential drug targets for new therapeutic strategies [34, 36]. Analysis of the topoisomerase IB homologues across prokaryotes and eukaryotes, favors a single fission event in trypanosomatids; an alternative scenario proposed by Bodley et al. , that the situation in trypanosomes represents the persistence of discrete proteins, and that the trypanosomes provide a missing link between a hypothesized ancient independent catalytic domain and the contemporary fused composites, is not supported by our analysis.
The fusion event identified in Monosiga, resulting in a combined "glutamine hydrolysing (not ammonia-dependent) carbamoyl phosphate synthase" (EC 220.127.116.11) and "aspartate carbamoyltransferase" (EC 18.104.22.168), appears to be common among fungi, metazoa and some bacteria, and concerns enzymes that participate in subsequent steps of the pyrimidine biosynthesis pathway. Heterotrimeric versions also exist in the bacteria, archaea, and archaeplastida, suggesting multiple independent fusion events between these domains. This is in agreement with previous domain fusion analyses that have identified many composites consisting of pairs of functionally linked proteins that participate in the same metabolic pathway [1, 5, 7, 8].
Two of the results reported here are truly novel. One is the fusion in Entamoeba of a TBC GTPase activating domain with an N-terminal Ankyrin domain. This suggests that the two interact, and some support for this is lent by a recent study of GTPase activating proteins, that reported that TBC proteins do not directly interact with Rab proteins, but require another protein-interaction domain, confirmed by truncation mutant analysis for the case of a C-terminal Ankyrin domain . Therefore, although the particular fusion is unique to the amoebozoa, further studies are needed to identify putative extra binding partners that mediate Rab and TBC protein interactions, and our results provide a testable starting point for such studies. As Rab activity is crucial to many cellular processes in trypanosomes , disruption of such interactions could provide a further therapeutic drug target. The other novel result is the fusion in Phytophthora of a hydroxymethylglutaryl-CoAlyase with a SNF7 domain protein. This fusion, which is also shared by diatoms and brown algae, may suggest a role for ubiquitylation or the ESCRT system in the sorting of hydroxymethylglutaryl-CoAlyase. Again, this is a testable hypothesis.
The functional links identified through domain fusion analysis in this study agree with the general principles for gene fusion and fission events established by previous studies. For example, gene fissions are relatively rare events compared to fusions , and in this case two lineage-specific fissions were identified in trypanosomes (Figure 4B, 5B), both of which have already been experimentally verified. The other gene fusions identified, are either lineage-specific (e.g. Figure 3B) or have occurred multiple times or been transferred by horizontal gene transfer (e.g. Figure 1B, 2B). Horizontal gene transfer has played an important role in the evolution of fused proteins . Within the eubacterial and archaeal groups, often only domains of one component protein within a fusion-linked pair were identified, when the other is eukaryote-specific. Finally, as has been reported previously, the genes participating in fusions are not confined to a specific category or genomic position. The advantages of gene fission are that separate domains may permit the subunits to function independently, perhaps in conjunction with other partners, as well as the possibility of exchanging or replacing domains. The advantages of gene fusion are that protein-protein interactions are enhanced by proximity and do not need to rely on diffusion. The low number of fusion-linked gene pairs identified here may indicate a lower occurrence of this evolutionary mechanism within parasitic protozoa, but more data would be needed to reach a firm conclusion on this.
Proteome sequence retrieval
In the present study we compared seven protists, representing all eukaryotic lineages (Table 1), against the kinetoplastid protozoan Trypanosoma brucei TREU927. As our primary interest was the analysis of the proteome sequences, we chose organisms with completely sequenced and annotated genomes. Based on these criteria, we chose the following species: Unikonts-Candida albicans, Monosiga brevicollis, Dictyostelium discoideum, Entamoeba histolytica; Plantae-Chlamydomonas reinhardtii; Stramenopiles-Phytopthora infestans; Excavates-Giardia intestinalis. The complete proteomes of these parasites were retrieved form the NCBI genetic sequence databases and UniProt Knowledgebase [40, 41].
Identification of possible fusion links
The software algorithm was developed to exclude any homologues which are 85% identical over the whole sequence length. Hence, a protein with a similarity value of 85% or higher to a larger protein of the sameorganism, was deleted from the proteome. On average, this removed about 7% of each proteome.
A fusion-linked protein was taken into consideration only if each component had a minimum DOMAIN length of 70 amino acids, along with a minimum of 27% identity with the composite protein, based on the BLAST alignment per domain.
We automatically excluded all results with an E-value higher than the threshold of 10-3, as not statistically significant.
Two proteins were considered to be fusion-linked only if each of them aligned with a minimum PROTEIN coverage of 70% to the same reference sequence (based on the protein annotation of the target organism).
Determining the significance of the predicted fusion results
The open reading frame of a putative fused protein in each target organism was split between the two BLAST hits, and we checked whether the two component parts returned the original two reference proteins of Trypanosoma brucei TREU927 as their best BLAST hits (reverse BLAST ).
To exclude misleading annotations, we looked for fusion links between Trypanosoma brucei TREU927 and Leishmania major, another parasitic kinetoplastid. Both organisms have similar genomes and their proteomes feature a high percentage similarity . To examine whether the putative T. brucei fusion-linked proteins are homologous to each other, we repeated the BLASTp procedure using the Leishmania major proteome as target. If the T. brucei proteins matched the same protein in L. major they were considered homologous and excluded from further analysis.
We identified the domain architecture of the composite form of the fusion-linked proteins in the target organisms and checked for orthologous domains in their component (split) proteins.
Based on these three quality controls, the results were categorised into three groups:
One group consists of composite proteins that have likely undergone fusion events, since (a) the split protein pair consists of two non-homologous proteins, and (b) the annotated interactions between the domains of the composite protein give a functionality equivalent to that of the domains of the split protein pair.
Another group consists of proteins with domains of poorly characterised function, such as "unknown" or "general function"; fusion analysis can be used to predict the function of an unknown protein if it is fusion-linked to a partner of known function.
The third group contains results where the split protein pair in Trypanosome brucei consists of homologous proteins. The links between homologous multi-domain proteins were not analysed further.
Examination of the evolution of fusion links
The tree of life is an ever-evolving depiction of life's common ancestry. We used a tree of life, previously designed by the Smithsonian Institution ( with permission), that has been used to illustrate the evolutionary relationship of humans to other common eukaryotes, as well as to the eubacteria and archaea. The tree was adapted to map our results for the identification of fusion and fission events. Thus, for each putative fusion linked protein pair identified, we examined whether these predicted proteins most likely occurred through protein fusion or fission. To calculate fusion or fission results we used the sequence pairs identified in T. brucei as fusion-linked (see above) and searched for homologues against all the available sequences in the NCBI database of all organism family groups shown in the tree. Within each organism family group, we selected the BLAST hit with the highest identity value and the lowest E-value threshold, as a single representative orthologue. The generated results were classified into 5 classes, based on whether the T. brucei fusion linked protein pair retrieved:
a single protein composed of two regions corresponding to the T. brucei proteins (fused)
two proteins, each one corresponding to one of the T. brucei proteins (heterodimeric)
three proteins, one corresponding to one of the T. brucei proteins, and the other two corresponding to the second T. brucei protein (heterotrimeric)
a single protein corresponding to only one of the T. brucei proteins (i.e. one part of the composite was not found, for example, in Figure 4B, bacteria retain only the DNA topoisomerase IB large subunit)
proteins with low sequence identity (data not available/not found). This may be because the whole proteome of each family group within the tree of life might not be complete or available through the NCBI or UniProt databases.
In addition, we attempted to elucidate the biological function and the metabolic pathways of the fusion linked proteins. We were able to claim that the evolutionary scenario of fused and fission domain architecture is valid, only in cases where the characteristics or the function of the fusion and fission events were similar to those of the reference protein.
The authors wish to thank Dimos Tsagrasoulis for developing the fusion analysis software used here, and Stelios Arhondakis and Antigone Dimas for helpful discussions on the manuscript. We also acknowledge Institutional funds to cover the publication fee.
- Marcotte EM, Pellegrini M, Ng HL, Rice DW, Yeates TO, Eisenberg D: Detecting protein function and protein-protein interactions from genome sequences. Science. 1999, 285 (5428): 751-753. 10.1126/science.285.5428.751.View ArticlePubMedGoogle Scholar
- Enright AJ, Iliopoulos I, Kyrpides NC, Ouzounis CA: Protein interaction maps for complete genomes based on gene fusion events. Nature. 1999, 402 (6757): 86-90. 10.1038/47056.View ArticlePubMedGoogle Scholar
- Snel B, Bork P, Huynen M: Genome evolution. Gene fusion versus gene fission. Trends Genet. 2000, 16 (1): 9-11. 10.1016/S0168-9525(99)01924-1.View ArticlePubMedGoogle Scholar
- Enright AJ, Ouzounis CA: Functional associations of proteins in entire genomes by means of exhaustive detection of gene fusions. Genome Biol. 2001, 2 (9): RESEARCH0034-View ArticlePubMedPubMed CentralGoogle Scholar
- Yanai I, Derti A, DeLisi C: Genes linked by fusion events are generally of the same functional category: a systematic analysis of 30 microbial genomes. Proc Natl Acad Sci USA. 2001, 98 (14): 7940-7945. 10.1073/pnas.141236298.View ArticlePubMedPubMed CentralGoogle Scholar
- Hua S, Guo T, Gough J, Sun Z: Proteins with class alpha/beta fold have high-level participation in fusion events. J Mol Biol. 2002, 320 (4): 713-719. 10.1016/S0022-2836(02)00467-9.View ArticlePubMedGoogle Scholar
- Mellor JC, Yanai I, Clodfelter KH, Mintseris J, DeLisi C: Predictome: a database of putative functional links between proteins. Nucleic Acids Res. 2002, 30 (1): 306-309. 10.1093/nar/30.1.306.View ArticlePubMedPubMed CentralGoogle Scholar
- Yanai I, Wolf YI, Koonin EV: Evolution of gene fusions: horizontal transfer versus independent events. Genome Biol. 2002, 3 (5): research0024-View ArticlePubMedPubMed CentralGoogle Scholar
- Iliopoulos I, Enright AJ, Poullet P, Ouzounis CA: Mapping functional associations in the entire genome of Drosophila melanogaster using fusion analysis. Comp Funct Genomics. 2003, 4 (3): 337-341. 10.1002/cfg.287.View ArticlePubMedPubMed CentralGoogle Scholar
- Truong K, Ikura M: Domain fusion analysis by applying relational algebra to protein sequence and domain databases. BMC Bioinformatics. 2003, 4: 16-10.1186/1471-2105-4-16.View ArticlePubMedPubMed CentralGoogle Scholar
- Kummerfeld SK, Teichmann SA: Relative rates of gene fusion and fission in multi-domain proteins. Trends Genet. 2005, 21 (1): 25-30. 10.1016/j.tig.2004.11.007.View ArticlePubMedGoogle Scholar
- Kamburov A, Goldovsky L, Freilich S, Kapazoglou A, Kunin V, Enright AJ, Tsaftaris A, Ouzounis CA: Denoising inferred functional association networks obtained by gene fusion analysis. BMC Genomics. 2007, 8: 460-10.1186/1471-2164-8-460.View ArticlePubMedPubMed CentralGoogle Scholar
- Durrens P, Nikolski M, Sherman D: Fusion and fission of genes define a metric between fungal genomes. PLoS Comput Biol. 2008, 4 (10): e1000200-10.1371/journal.pcbi.1000200.View ArticlePubMedPubMed CentralGoogle Scholar
- Berriman M, Ghedin E, Hertz-Fowler C, Blandin G, Renauld H, Bartholomeu DC, Lennard NJ, Caler E, Hamlin NE, Haas B, Bohme U, Hannick L, Aslett MA, Shallom J, Marcello L, Hou L, Wickstead B, Alsmark UC, Arrowsmith C, Atkin RJ, Barron AJ, Bringaud F, Brooks K, Carrington M, Cherevach I, Chillingworth TJ, Churcher C, Clark LN, Corton CH, Cronin A, et al: The genome of the African trypanosome Trypanosoma brucei. Science. 2005, 309 (5733): 416-422. 10.1126/science.1112642.View ArticlePubMedGoogle Scholar
- Morrison HG, McArthur AG, Gillin FD, Aley SB, Adam RD, Olsen GJ, Best AA, Cande WZ, Chen F, Cipriano MJ, Davids BJ, Dawson SC, Elmendorf HG, Hehl AB, Holder ME, Huse SM, Kim UU, Lasek-Nesselquist E, Manning G, Nigam A, Nixon JE, Palm D, Passamaneck NE, Prabhu A, Reich CI, Reiner DS, Samuelson J, Svard SG, Sogin ML: Genomic minimalism in the early diverging intestinal parasite Giardia lamblia. Science. 2007, 317 (5846): 1921-1926. 10.1126/science.1143837.View ArticlePubMedGoogle Scholar
- Jones T, Federspiel NA, Chibana H, Dungan J, Kalman S, Magee BB, Newport G, Thorstenson YR, Agabian N, Magee PT, Davis RW, Scherer S: The diploid genome sequence of Candida albicans. Proc Natl Acad Sci USA. 2004, 101 (19): 7329-7334. 10.1073/pnas.0401648101.View ArticlePubMedPubMed CentralGoogle Scholar
- Loftus B, Anderson I, Davies R, Alsmark UC, Samuelson J, Amedeo P, Roncaglia P, Berriman M, Hirt RP, Mann BJ, Nozaki T, Suh B, Pop M, Duchene M, Ackers J, Tannich E, Leippe M, Hofer M, Bruchhaus I, Willhoeft U, Bhattacharya A, Chillingworth T, Churcher C, Hance Z, Harris B, Harris D, Jagels K, Moule S, Mungall K, Ormond D, et al: The genome of the protist parasite Entamoeba histolytica. Nature. 2005, 433 (7028): 865-868. 10.1038/nature03291.View ArticlePubMedGoogle Scholar
- Haas BJ, Kamoun S, Zody MC, Jiang RH, Handsaker RE, Cano LM, Grabherr M, Kodira CD, Raffaele S, Torto-Alalibo T, Bozkurt TO, Ah-Fong AM, Alvarado L, Anderson VL, Armstrong MR, Avrova A, Baxter L, Beynon J, Boevink PC, Bollmann SR, Bos JI, Bulone V, Cai G, Cakir C, Carrington JC, Chawner M, Conti L, Costanzo S, Ewan R, Fahlgren N, et al: Genome sequence and analysis of the Irish potato famine pathogen Phytophthora infestans. Nature. 2009, 461 (7262): 393-398. 10.1038/nature08358.View ArticlePubMedGoogle Scholar
- Eichinger L, Pachebat JA, Glockner G, Rajandream MA, Sucgang R, Berriman M, Song J, Olsen R, Szafranski K, Xu Q, Tunggal B, Kummerfeld S, Madera M, Konfortov BA, Rivero F, Bankier AT, Lehmann R, Hamlin N, Davies R, Gaudet P, Fey P, Pilcher K, Chen G, Saunders D, Sodergren E, Davis P, Kerhornou A, Nie X, Hall N, Anjard C, et al: The genome of the social amoeba Dictyostelium discoideum. Nature. 2005, 435 (7038): 43-57. 10.1038/nature03481.View ArticlePubMedPubMed CentralGoogle Scholar
- Bozzaro S, Bucci C, Steinert M: Phagocytosis and host-pathogen interactions in Dictyostelium with a look at macrophages. Int Rev Cell Mol Biol. 2008, 271: 253-300.View ArticlePubMedGoogle Scholar
- Merchant SS, Prochnik SE, Vallon O, Harris EH, Karpowicz SJ, Witman GB, Terry A, Salamov A, Fritz-Laylin LK, Marechal-Drouard L, Marshall WF, Qu LH, Nelson DR, Sanderfoot AA, Spalding MH, Kapitonov VV, Ren Q, Ferris P, Lindquist E, Shapiro H, Lucas SM, Grimwood J, Schmutz J, Cardol P, Cerutti H, Chanfreau G, Chen CL, Cognat V, Croft MT, Dent R, et al: The Chlamydomonas genome reveals the evolution of key animal and plant functions. Science. 2007, 318 (5848): 245-250. 10.1126/science.1143609.View ArticlePubMedPubMed CentralGoogle Scholar
- Melis A: Photosynthetic H2 metabolism in Chlamydomonas reinhardtii (unicellular green algae). Planta. 2007, 226 (5): 1075-1086. 10.1007/s00425-007-0609-9.View ArticlePubMedGoogle Scholar
- King N, Westbrook MJ, Young SL, Kuo A, Abedin M, Chapman J, Fairclough S, Hellsten U, Isogai Y, Letunic I, Marr M, Pincus D, Putnam N, Rokas A, Wright KJ, Zuzow R, Dirks W, Good M, Goodstein D, Lemons D, Li W, Lyons JB, Morris A, Nichols S, Richter DJ, Salamov A, Sequencing JG, Bork P, Lim WA, Manning G, et al: The genome of the choanoflagellate Monosiga brevicollis and the origin of metazoans. Nature. 2008, 451 (7180): 783-788. 10.1038/nature06617.View ArticlePubMedPubMed CentralGoogle Scholar
- Pie J, Lopez-Vinas E, Puisac B, Menao S, Pie A, Casale C, Ramos FJ, Hegardt FG, Gomez-Puertas P, Casals N: Molecular genetics of HMG-CoA lyase deficiency. Mol Genet Metab. 2007, 92 (3): 198-209. 10.1016/j.ymgme.2007.06.020.View ArticlePubMedGoogle Scholar
- Zhang X, Cui J, Nilsson D, Gunasekera K, Chanfon A, Song X, Wang H, Xu Y, Ochsenreiter T: The Trypanosoma brucei MitoCarta and its regulation and splicing pattern during development. Nucleic Acids Res. 2010Google Scholar
- Leung KF, Dacks JB, Field MC: Evolution of the multivesicular body ESCRT machinery; retention across the eukaryotic lineage. Traffic. 2008, 9 (10): 1698-1716. 10.1111/j.1600-0854.2008.00797.x.View ArticlePubMedGoogle Scholar
- Samson RY, Obita T, Freund SM, Williams RL, Bell SD: A role for the ESCRT system in cell division in archaea. Science. 2008, 322 (5908): 1710-1713. 10.1126/science.1165322.View ArticlePubMedPubMed CentralGoogle Scholar
- Opperdoes FR, Coombs GH: Metabolism of Leishmania: proven and predicted. Trends Parasitol. 2007, 23 (4): 149-158. 10.1016/j.pt.2007.02.004.View ArticlePubMedGoogle Scholar
- KEGG Pathway: Pyrimidine metabolism. [http://www.genome.jp/kegg-bin/show_pathway?ec00240+22.214.171.124]
- IUBMB: Pyrimidine biosynthesis. [http://www.chem.qmul.ac.uk/iubmb/enzyme/reaction/misc/pyrimid.html]
- Bhattacharyya NP, Banerjee M, Majumder P: Huntington's disease: roles of huntingtin-interacting protein 1 (HIP-1) and its molecular partner HIPPI in the regulation of apoptosis and transcription. FEBS J. 2008, 275 (17): 4271-4279. 10.1111/j.1742-4658.2008.06563.x.View ArticlePubMedGoogle Scholar
- Li XJ, Friedman M, Li S: Interacting proteins as genetic modifiers of Huntington disease. Trends Genet. 2007, 23 (11): 531-533. 10.1016/j.tig.2007.07.007.View ArticlePubMedGoogle Scholar
- Kanno E, Ishibashi K, Kobayashi H, Matsui T, Ohbayashi N, Fukuda M: Comprehensive screening for novel rab-binding proteins by GST pull-down assay using 60 different mammalian Rabs. Traffic. 2010, 11 (4): 491-507. 10.1111/j.1600-0854.2010.01038.x.View ArticlePubMedGoogle Scholar
- Bodley AL, Chakraborty AK, Xie S, Burri C, Shapiro TA: An unusual type IB topoisomerase from African trypanosomes. Proc Natl Acad Sci USA. 2003, 100 (13): 7539-7544. 10.1073/pnas.1330762100.View ArticlePubMedPubMed CentralGoogle Scholar
- Bakshi RP, Shapiro TA: RNA interference of Trypanosoma brucei topoisomerase IB: both subunits are essential. Mol Biochem Parasitol. 2004, 136 (2): 249-255. 10.1016/j.molbiopara.2004.04.006.View ArticlePubMedGoogle Scholar
- Morales J, Mogi T, Mineki S, Takashima E, Mineki R, Hirawake H, Sakamoto K, Omura S, Kita K: Novel mitochondrial complex II isolated from Trypanosoma cruzi is composed of 12 peptides including a heterodimeric Ip subunit. J Biol Chem. 2009, 284 (11): 7255-7263.View ArticlePubMedPubMed CentralGoogle Scholar
- Suhre K, Claverie JM: FusionDB: a database for in-depth analysis of prokaryotic gene fusion events. Nucleic Acids Res. 2004, 32 (Database): D273-276.View ArticlePubMedPubMed CentralGoogle Scholar
- Marcotte EM, Pellegrini M, Thompson MJ, Yeates TO, Eisenberg D: A combined algorithm for genome-wide prediction of protein function. Nature. 1999, 402 (6757): 83-86. 10.1038/47048.View ArticlePubMedGoogle Scholar
- Field MC, Carrington M: The trypanosome flagellar pocket. Nat Rev Microbiol. 2009, 7 (11): 775-786. 10.1038/nrmicro2221.View ArticlePubMedGoogle Scholar
- NCBI. [http://www.ncbi.nlm.nih.gov]
- UniProt. [http://www.uniprot.org]
- Tsagkrasoulis D: Software development for automatic analysis of protein domain fusion events. MSc thesis. 2010, University of Athens, Department of InformaticsGoogle Scholar
- Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25 (17): 3389-3402. 10.1093/nar/25.17.3389.View ArticlePubMedPubMed CentralGoogle Scholar
- Smithsonian National Museum of Natural History, The Tree of Life. [http://www.mnh.si.edu/exhibits/darwin/treeoflife.html]
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