Literature DB >> 24813448

A short RNA stem-loop is necessary and sufficient for repression of gene expression during early logarithmic phase in trypanosomes.

Sandra M Fernández-Moya1, Mark Carrington2, Antonio M Estévez3.   

Abstract

We have compared the transcriptomes of cultured procyclic Trypanosoma brucei cells in early and late logarithmic phases and found that ∼200 mRNAs were differentially regulated. In late log phase cells, the most upregulated mRNA encoded the nucleobase transporter NT8. The 3' untranslated region (UTR) of NT8 contains a short stem-loop cis-element that is necessary for the regulation of NT8 expression in response to external purine levels. When placed in the 3'-UTR of an unregulated transcript, the cis-element is sufficient to confer regulation in response to purines. To our knowledge, this is the first example of a discrete RNA element that can autonomously regulate gene expression in trypanosomes in response to an external factor and reveals an unprecedented purine-dependent signaling pathway that controls gene expression in eukaryotes.
© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2014        PMID: 24813448      PMCID: PMC4066783          DOI: 10.1093/nar/gku358

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


INTRODUCTION

Coordinating expression of functionally-related genes in response to environmental signals is essential for a cell. Recent genome-wide studies have shown that the global regulation of gene expression depends largely on post-transcriptional events (1). Key players in post-transcriptional regulation are trans-acting factors such as ribonucleic acid (RNA)-binding proteins, non-coding RNAs and metabolites and cis-acting elements, which are regulatory sequences usually found within the untranslated regions (UTRs) of messenger RNAs (mRNAs). The interaction between trans- and cis-acting factors results in the coordinated regulation of subsets of mRNAs encoding functionally-related proteins, which are known as post-transcriptional operons or regulons (1). Post-transcriptional regulation is of unusual importance in trypanosomatids. The best characterized members of this group of protozoans are parasites that cause severe diseases in humans and cattle, such as Trypanosoma brucei, Trypanosoma cruzi and Leishmania ssp. (2). They exhibit complex life cycles alternating between insects and mammals, and therefore regulate their gene expression programs in order to adapt to the changes in temperature, pH, nutrients and defenses they find within one or the other host (3). Evidence so far indicates that there is no selective regulation of transcription of protein coding genes by RNA polymerase II. Instead, trypanosomatids rely mainly on mRNA processing, turnover, translation and localization to remodel the proteome during the life cycle (4–6). This is thought to be achieved through the orchestrated interaction of RNA-binding proteins and cis-acting RNA elements, and indeed several lines of evidence strongly support a model in which RNA operons operate in these organisms (4,7). In spite of the dependence on post-transcriptional mechanisms, very few RNA-binding proteins have been characterized in detail in trypanosomatids, and in even fewer instances precisely defined cis-acting elements have been unequivocally identified as being necessary and sufficient to confer regulation (5,8). These include a 26-mer stem–loop within T. brucei EP1 procyclin that causes RNA instability in the bloodstream form (9), a 25-nt glycerol-responsive element in the T. brucei GPEET procyclin that controls expression by glucose and during development in the insect vector (10), a 50-nt AU-rich region within mucin genes in T. cruzi that affects mRNA degradation and translation (11) and a 34-nt element that represses expression in proliferative T. brucei slender bloodstream forms and activates it in quiescent stumpy bloodstream parasites (12). These cis-elements have been shown to be necessary but none has been shown to be functionally sufficient when placed in a different mRNA context. In Leishmania major, a retroposon-derived sequence of ∼600 nt located within the 3′-UTR of many transcripts, named SIDER2, has been shown to promote mRNA instability when placed downstream of a reporter gene (13,14). A 79-nt signature was shown to be essential for mRNA degradation (15), but whether these 79 nt are sufficient independently is not known at present. In Leishmania mexicana, a 10-nt element termed paraflagellar rod (PFR) regulatory element (PRE) was found to destabilize a PFR chimeric transcript containing a heterologous 3-UTR transcribed from an episome (16). However, since sequences corresponding to both the 5′-UTR and the open-reading frame of the PFR gene were still present in the episomal expression construct, it is still unknown whether the PRE could promote regulation when placed in a different genetic context. Lastly, an octamer sequence was identified in Crithidia fasciculata that could confer periodic accumulation on a heterologous transcript, but only when multiple copies of the element were inserted within the 5′-UTR of a reporter gene (17). In a search to identify novel cis- and trans-acting factors that regulate gene expression in T. brucei, we compared the transcriptome of procyclic T. brucei cells in early and late logarithmic phases using high-throughput sequencing (RNAseq). The most upregulated transcript in late log phase encodes the purine transporter NT8. We have identified a short RNA element within the 3′-UTR of NT8 that is necessary for purine-dependent repression of expression in early log phase, and found that it is also sufficient to confer regulated expression when placed in a different genetic context.

MATERIALS AND METHODS

Trypanosome culture

T. brucei Lister 427 procyclic cells were grown at 27ºC in SDM-79 medium (18) containing 10% fetal bovine serum. Purine-deprived SDM-79 was supplemented with 10% dialyzed fetal bovine serum (Invitrogen). When used, guanosine was added at a concentration of 100 μM. Transgenic trypanosomes were obtained following standard procedures (19).

RNA and transcriptome analysis

Total RNA was extracted using peqGOLD Trifast (peqlab). Northern hybridizations, mRNA degradation experiments and quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) were done as previously described (20,21). Complementary deoxyribonucleic acid libraries for high-throughput sequencing were obtained from two biological replicates using the Illumina mRNA-seq kit according to manufacturer's instructions. Libraries were sequenced on an Illumina platform at EASIH (Eastern Sequencing and Informatics Hub, Cambridge, UK) and the reads of 36 nucleotides in length were aligned to the T. brucei TREU 927 genome v4 using Bowtie (22,23). Manipulation and processing of the aligned tags were done using SAMtools (24). Aligned sequence tags were visualized using Artemis (25). The number of hits per open reading frame (ORF) was determined using HT-Seq software (http://www-huber.embl.de/users/anders/HTSeq/doc/index.html). The number of reads mapping to each feature in each condition was compared to early log samples using the EdgeR package (26). Gene Ontology (GO) assignments were done using GOStat (27). RNA secondary structure predictions were obtained using RNAfold (http://rna.tbi.univie.ac.at/cgi-bin/RNAfold.cgi).

Luciferase constructs and assays

Luciferase expression constructs were derived from pGR108 (20) (Supplementary Figure S1A). To obtain the NT8 3′-UTR, a fragment spanning the complete intergenic region between genes Tb917.11.3620 and Tb917.11.3630 was amplified by PCR (Supplementary Figure S1A). Intact and deleted versions of the NT8 3′UTR were cloned as BamH I-Hpa I fragments into pGR108 digested in the same way. NT8 5′UTR was cloned as a blunt-Hind III fragment into pGR108 digested with Sma I and Hind III. Plasmids were digested with Not I and stably integrated in the tubulin locus by electroporation as described (20). A list of the plasmids used in this work is shown in Supplementary Figure S1B). For luciferase assays, 2–4×107 cells were washed in phosphate-buffered saline and frozen at −80ºC until use. Cell pellets were thawed, resuspended in lysis buffer (100-mM potassium phosphate, pH 7.8, 2 mM-dithiothreitol (DTT), 0.1% Triton X-100, 10% glycerol) at a concentration of 0.1 ml per 1×107 cells, vortexed briefly, incubated 5 min on ice and centrifuged at 16 000g for 10 min at 4ºC. Ten to twenty microliters were used per assay using Promega's Luciferase Assay System in a Berthold FB 12 luminometer according to manufacturer's instructions. Protein concentration was determined using Bradford reagent (BioRad).

RESULTS

Transcriptome analysis of procyclic trypanosomes in early and late logarithmic phases

To analyze how the transcriptome of procyclic trypanosomes is remodeled during the growth cycle in culture, we prepared RNA samples from early and late logarithmic phase cells (Figure 1A) and compared them using deep sequencing. There were ∼200 transcripts with at least 2-fold altered abundance in late logarithmic phase, of which 80 were upregulated and 117 downregulated. A list of the top (>2.5-fold) regulated transcripts with known or predicted functions is shown in Figure 1B. The complete list of all regulated transcripts, including hypothetical proteins, can be found in Supplementary Table S1.
Figure 1.

The transcriptome of procyclic T. brucei is remodeled during the growth curve. (A) Typical growth curve of procyclic T. brucei cells. RNA samples were obtained from cells in early and late logarithmic phases, and subjected to high-throughput sequencing. (B) List of mRNAs whose abundance is altered at least ± 2.5-fold (log2 = ±1.3) in late log phase. Transcripts encoding hypothetical proteins are not shown. A complete list can be found in Supplementary Table S1. (C) Gene Ontology (GO) analysis of mRNAs upregulated in late log phase. Only significantly enriched categories (P < 0.01) are shown.

The transcriptome of procyclic T. brucei is remodeled during the growth curve. (A) Typical growth curve of procyclic T. brucei cells. RNA samples were obtained from cells in early and late logarithmic phases, and subjected to high-throughput sequencing. (B) List of mRNAs whose abundance is altered at least ± 2.5-fold (log2 = ±1.3) in late log phase. Transcripts encoding hypothetical proteins are not shown. A complete list can be found in Supplementary Table S1. (C) Gene Ontology (GO) analysis of mRNAs upregulated in late log phase. Only significantly enriched categories (P < 0.01) are shown. GO was used to categorize regulated transcripts according to their biological process, cellular component and molecular function. Significantly enriched GO terms (P < 0.01) for upregulated transcripts are shown in Figure 1C. There was a significant enrichment for transcripts encoding motor proteins such as microtubule components and dynein complexes. On the other hand, there was no significant enrichment for any GO category in the downregulated mRNA set. However, many RNA-polymerase I transcripts (i.e. procyclic-associated genes and ribosomal RNAs) decreased in abundance in late logarithmic phase, a phenomenon also described in yeast cells entering stationary phase (28,29).

mRNA half-life is regulated during the growth cycle

To assess whether the observed changes in mRNA abundance were due to alterations in RNA degradation rates, we measured the half-life of three transcripts, two upregulated in late log phase, NT8 (Tb11.02.1105) and ZC3H12 (Tb927.5.1570) (Figure 1B), and one transcript downregulated in late log phase, Tb927.10.1560 (Supplementary Table S1). As shown in Figure 2, the half-lives of both upregulated transcripts increased, whereas it decreased in the case of the downregulated mRNA. These results indicate that the changes in mRNA steady-state levels result from different half-lives in early and late log phase cells.
Figure 2.

mRNA turnover is regulated during the growth curve. Half-lives of two transcripts upregulated in late log phase (NT8 and Z3CH12) and one downregulated in late log phase (Tb927.10.1560) were measured as previously described (20) from data obtained from at least three independent experiments. Representative northern blots are shown in each case. The signal recognition particle 7SL RNA was used for normalization.

mRNA turnover is regulated during the growth curve. Half-lives of two transcripts upregulated in late log phase (NT8 and Z3CH12) and one downregulated in late log phase (Tb927.10.1560) were measured as previously described (20) from data obtained from at least three independent experiments. Representative northern blots are shown in each case. The signal recognition particle 7SL RNA was used for normalization.

External purine concentration regulates mRNA abundance

The most upregulated mRNA in late log phase was NT8 (Figure 1B) that encodes a permease that transports different purines with high affinity (30,31). We wondered whether the addition of purines in late log phase could reverse the increased abundance of NT8 mRNA. Indeed, when guanosine was added to late log cultures, the abundance of NT8 decreased to levels close to those observed in early log phase (Figure 3A): NT8 levels increased 9.1 ± 1.7-fold (n = 3) when entering in late log phase and decreased back 8.5 ± 1.3-fold upon addition of the nucleoside. A similar effect was observed when another purine, hypoxanthine, but not a pyrimidine, thymidine, was used (data not shown). Moreover, the mRNA Tb927.10.1560, which is downregulated 1.8 ± 0.5-fold in late log phase, increased in abundance 2.4 ± 0.4-fold when purines were added to the culture (Figure 3A). Remarkably, the response to guanosine was very fast. NT8 mRNA levels were reduced 2.4 ± 0.6-fold 15 min after addition of guanosine to the medium (Figure 3B). The addition of additional guanosine to early log cultures prevented the accumulation of NT8 later on in late log phase (Figure 3B, leftmost lane). NT8 was apparently the only purine transporter regulated during the growth cycle (Supplementary Table S1). We checked the expression of a different purine transporter, NT10 (32), and found that its expression was not altered during the growth curve (data not shown). The effect of purine addition to late log cultures was analyzed in more detail using RNAseq transcriptome analysis. There were 138 transcripts with at least 2-fold altered abundance in guanosine-supplemented medium, of which 95 were upregulated and 43 downregulated. A list of the most regulated (>2.5-fold) transcripts with known or predicted functions is shown in Figure 4A. The complete list of regulated transcripts, including hypothetical proteins, can be found in Supplementary Table S2. GO analysis (Figure 4B) showed that RNA-binding proteins, especially helicases, were significantly upregulated in guanosine-supplemented medium. RNA-polymerase I-derived transcripts also increased in abundance in the presence of guanosine. On the other hand, transcripts encoding enzymes involved in carbohydrate metabolism and flagellar motility were significantly enriched in the downregulated set.
Figure 3.

Extracellular purine levels regulate mRNA abundance. (A) A culture in late log phase was split in two subcultures, and 100-μM guanosine was added to one of them. RNA samples were obtained after 2-h or 4-h incubation at 27ºC, and the abundance of NT8 and Tb927.10.1560 was analyzed by northern blot using specific probes. The signal recognition particle 7SL RNA was used for normalization. (B) NT8 levels were also determined at shorter incubation times after the addition of guanosine. The addition of 100-μM guanosine to early log cultures prevented the accumulation of NT8 later on in late log phase (leftmost lane).

Figure 4.

Effect of guanosine addition on the transcriptome of late log procyclic trypanosomes. (A) A list of mRNAs whose abundance is altered at least ± 2.5-fold (log2 = ±1.3) upon addition of guanosine to late log cells. Transcripts encoding hypothetical proteins are not shown. A complete list can be found in Supplementary Table S2. (B) Gene Ontology (GO) analysis of regulated mRNAs. Only significantly enriched categories (P < 0.01) are shown.

Extracellular purine levels regulate mRNA abundance. (A) A culture in late log phase was split in two subcultures, and 100-μM guanosine was added to one of them. RNA samples were obtained after 2-h or 4-h incubation at 27ºC, and the abundance of NT8 and Tb927.10.1560 was analyzed by northern blot using specific probes. The signal recognition particle 7SL RNA was used for normalization. (B) NT8 levels were also determined at shorter incubation times after the addition of guanosine. The addition of 100-μM guanosine to early log cultures prevented the accumulation of NT8 later on in late log phase (leftmost lane). Effect of guanosine addition on the transcriptome of late log procyclic trypanosomes. (A) A list of mRNAs whose abundance is altered at least ± 2.5-fold (log2 = ±1.3) upon addition of guanosine to late log cells. Transcripts encoding hypothetical proteins are not shown. A complete list can be found in Supplementary Table S2. (B) Gene Ontology (GO) analysis of regulated mRNAs. Only significantly enriched categories (P < 0.01) are shown.

The 3′-UTR of NT8 confers regulation during the growth cycle

Most regulatory RNA elements affecting mRNA half-life and translation have been detected in the 3′-UTR in trypanosomatid genes (5). To identify cis-acting elements responsible for the observed regulation along the growth curve, we tested the 5′-UTR and/or the 3′-UTR of NT8 mRNA into a luciferase reporter transgene that was integrated to form stable cell lines. As a control, we used a cell line transfected with plasmid pGR108, which expressed luciferase under the control of the EP1 procyclin 5′-UTR and the actin 3′-UTR [(20), Supplementary Figure S1]. In this cell line, neither luciferase mRNA nor activity was differentially regulated during the growth curve (Figure 5). In all experiments described in this work, luciferase mRNA and activity levels in reporter transgenes were normalized to those of actin 3′-UTR in early log phase set at 100%. When the NT8 3′-UTR was fused to luciferase, a 5-fold decrease in transcript levels was observed in early log phase as compared with the control cell line. Moreover, luciferase mRNA levels increased 4-fold during late log phase and decreased again 2 h upon addition of guanosine to the culture medium (Figure 5A). Replacement of the EP1 5′-UTR with the NT8 5′-UTR did not have any apparent effect on mRNA abundance (Figure 5A). At the protein level, the presence of NT8 3′-UTR caused an ∼50-fold reduction of luciferase activity during early log phase; the activity increased 9-fold upon entering in late log phase (Figure 5B). When luciferase was expressed under the control of both the 5′- and 3′-UTRs of NT8, protein levels were 4- to 5-fold higher than those detected when using the 3′-UTR alone in both growth phases (Figure 5B). This suggested that the 5′-UTR of NT8 enhances translation. Indeed, when luciferase was expressed under the control of the NT8 5′-UTR alone, an ∼3-fold increase in luciferase activity was observed (Figure 5B), suggesting that the 5′-UTR of NT8 contains RNA elements that stimulate translation regardless of the growth phase. The results also show that the 3′-UTR of NT8 contains regulatory RNA elements that confer both repression of gene expression during early log phase and responsiveness to purine levels in the medium. With this experimental design, we could not assess the effect of purines on luciferase activity, since there was no enough time for the protein to be turned over after the addition of guanosine (data not shown). This was probably due to the stability of luciferase in procyclic cells (33). Nevertheless, luciferase activity could be indeed modulated by purine levels (see below).
Figure 5.

The 3′-UTR of NT8 confers regulation to a luciferase reporter gene. Stable cell lines were generated that expressed luciferase under the control of NT8 5′- and/or 3′-UTRs. A cell line expressing luciferase fused to procyclin EP1 5′-UTR and actin 3′-UTR was used as a control. Luciferase mRNA (A) or activity (B) levels were normalized to those of the control cell line in early log phase, which were set at 100%. Transcript levels were determined by quantitative RT-PCR. The actual values of relative luciferase activity are indicated above each bar for convenience.

Identification of regulatory elements within the NT8 3′-UTR

To identify RNA regulatory sequences in the 3′-UTR of NT8, we performed serial deletions of the 3′-UTR and fused them to a luciferase reporter gene (Figure 6A). Deletion of the first 203 nt did not have any apparent effect on luciferase activity (deletion Δ1, Figure 6B). However, when the first 365 nt were removed, repression during early log phase was lost (deletion Δ2). Further deletions in the 3′-UTR (deletions Δ3 and Δ4) did not have additional effects on expression in comparison with those observed in deletion Δ2 (Figure 6B). These results suggested that there is a regulatory element located between nucleotides 204 and 365 in the 3′-UTR of NT8. Secondary RNA structure predictions using RNAfold (Supplementary Figure S2A) revealed a 60-nt stem–loop structure with very high base-pairing probabilities, which is shown in detail in Figure 6C. Removal of just these 60 nt did not apparently alter the secondary structure of the 3′-UTR (Supplementary Figure S2B) and had virtually the same effect as deletions Δ2 to Δ4 (Figure 6B). This suggests that the short stem–loop structure is responsible for most of the observed repression of gene expression during early log phase. There are three genes encoding NT8 arranged in a tandem array in the T. brucei genome (Supplementary Figure S1), and all are predicted to contain the stem–loop within their 3′-UTRs (data not shown).
Figure 6.

Identification of RNA regulatory elements within the 3′-UTR of NT8. (A) Serial deletions of the NT8 3′-UTR were generated starting from the 5′ end and fused to a luciferase gene with an EP1 5′-UTR. (B) Luciferase activity was normalized to that of a cell line expressing the reporter under the control of EP1 5′-UTR and actin 3-UTR (dashed line). (C) Predicted secondary structure of the regulatory stem–loop identified in deletion Δ2. RNAfold plots corresponding to the entire 3′-UTR can be seen in Supplementary Figure S2.

The 3′-UTR of NT8 confers regulation to a luciferase reporter gene. Stable cell lines were generated that expressed luciferase under the control of NT8 5′- and/or 3′-UTRs. A cell line expressing luciferase fused to procyclin EP1 5′-UTR and actin 3′-UTR was used as a control. Luciferase mRNA (A) or activity (B) levels were normalized to those of the control cell line in early log phase, which were set at 100%. Transcript levels were determined by quantitative RT-PCR. The actual values of relative luciferase activity are indicated above each bar for convenience. Identification of RNA regulatory elements within the 3′-UTR of NT8. (A) Serial deletions of the NT8 3′-UTR were generated starting from the 5′ end and fused to a luciferase gene with an EP1 5′-UTR. (B) Luciferase activity was normalized to that of a cell line expressing the reporter under the control of EP1 5′-UTR and actin 3-UTR (dashed line). (C) Predicted secondary structure of the regulatory stem–loop identified in deletion Δ2. RNAfold plots corresponding to the entire 3′-UTR can be seen in Supplementary Figure S2.

The stem–loop element represses gene expression in early log phase and confers purine-dependent regulation

To study whether the RNA element was sufficient to provide regulation in a different gene context, we modified the luciferase transgene construct to insert the stem–loop 149 nucleotides downstream the luciferase stop codon. As shown in Figure 7A, luciferase activity decreased ∼10-fold in early log phase when the regulatory element was placed into the wild-type actin 3′-UTR. In a second experiment, the stem–loop was inserted within a 3′-UTR derived from the mitochondrial malate dehydrogenase (mMDH) gene, which was not normally regulated during growth cycle (Supplementary Table S1). Cells expressing luciferase fused to wild-type mMDH 3′-UTR showed an activity close to that observed in the actin control cell line (Figure 7A). However, the insertion of the stem–loop within the 3′-UTR of mMDH resulted in a 20-fold decrease in luciferase activity in early log phase.
Figure 7.

Effect of the stem–loop element on gene expression in different gene contexts. (A) Cell lines were generated which expressed luciferase under the control of actin (ACT) or mitochondrial malate dehydrogenase (mMDH) 3′-UTRs in which the regulatory stem–loop was inserted. (B) Effect of guanosine withdrawal in early log cultures expressing luciferase under the control of 3′-UTRs containing or lacking the regulatory stem–loop. The actual values of relative luciferase activity are indicated above each bar for convenience. (C) Sequences of the short (35 mer) wild-type stem–loop and mutated versions thereof. Mutations in the stem are indicated by asterisks. Detailed sequences and structures can be seen in Supplementary Figures S3 and S4. (D) Effect of shorter and mutant stem–loop versions on luciferase expression. Luciferase activity was normalized to that of a cell line expressing the reporter under the control of EP1 5′-UTR and actin 3-UTR (dashed line).

Effect of the stem–loop element on gene expression in different gene contexts. (A) Cell lines were generated which expressed luciferase under the control of actin (ACT) or mitochondrial malate dehydrogenase (mMDH) 3′-UTRs in which the regulatory stem–loop was inserted. (B) Effect of guanosine withdrawal in early log cultures expressing luciferase under the control of 3′-UTRs containing or lacking the regulatory stem–loop. The actual values of relative luciferase activity are indicated above each bar for convenience. (C) Sequences of the short (35 mer) wild-type stem–loop and mutated versions thereof. Mutations in the stem are indicated by asterisks. Detailed sequences and structures can be seen in Supplementary Figures S3 and S4. (D) Effect of shorter and mutant stem–loop versions on luciferase expression. Luciferase activity was normalized to that of a cell line expressing the reporter under the control of EP1 5′-UTR and actin 3-UTR (dashed line). We next studied whether the stem–loop could also confer regulation in response to extracellular purine levels. We used cell lines expressing transgenes encoding luciferase fused to: (i) wild-type NT8 3′-UTR, or (ii) NT8 3′-UTR without the stem–loop, or (iii) wild-type actin 3′-UTR, or (iv) actin 3′-UTR containing the stem–loop (Figure 7B). Cells were harvested in early log phase (time 0 h), washed and resuspended in purine-depleted medium. Cultures were then split into two, guanosine was added to one but not the other and luciferase activity was measured after an incubation of 8 h. As shown in Figure 7B, luciferase expression was strongly repressed in a cell line expressing the reporter under the control of an intact NT8 3′-UTR when guanosine was present in the medium, and increased ∼40-fold when guanosine was withdrawn. However, when the stem–loop element was absent, no regulation could be observed regardless the presence or absence of guanosine. Moreover, insertion of the stem–loop within the 3′-UTR of the control actin gene rendered it responsive to guanosine, since luciferase expression was again inhibited in the presence of guanosine and enhanced in depleted medium. All these results show that the stem–loop element is both necessary and sufficient to promote repression of gene expression during early log phase in response to purine levels. We also tested whether a shorter version of the stem–loop was still able to repress luciferase activity and found that a hairpin as short as 35 nt (containing the sequence below the horizontal line in Figure 6C) had a similar effect on luciferase expression in comparison with its 60-mer counterpart (Figure 7C). In addition, we generated different mutant versions of the 35-mer stem–loop and analyzed whether they could still mediate repression in early log phase (detailed sequences and predicted structures are available in Supplementary Figures S3 and S4). A point mutation within the loop predicted to disrupt the whole stem–loop structure (Supplementary Figure S3) resulted in a loss of regulation (Figure 7D). We also reduced the loop length to 3 nt and introduced structurally non-synonymous or synonymous mutations in the stem. Regulation was lost in all cases (Figure 7D), suggesting that probably both sequence and structural features are important.

DISCUSSION

We have used high-throughput sequencing to analyze how trypanosomes remodel their transcriptome when entering in late logarithmic phase, and thus obtain valuable information that could be used to identify novel cis- and trans-acting factors involved in post-transcriptional regulation. We found that the abundance of ∼200 transcripts was altered during the growth cycle. A previous study using microarrays compared the transcriptome of trypanosomes in logarithmic phase with that of non-dividing cells in stationary phase (34). These authors identified a set of ∼900 regulated mRNAs with no obvious functional relationship. The larger number of regulated genes in their study could be explained if one takes into account the general decline in all cell growth functions that occurs in stationary phase. The most upregulated mRNA in late log phase encoded the high-affinity purine transporter NT8, not previously identified as upregulated (34). Since trypanosomes are unable to synthesize purines de novo (35), it is conceivable that they need to stimulate the transport of nucleobases when purines become scarce as cell density increases. Indeed, it has been shown that trypanosomes and Leishmania respond to purine starvation by increasing their transport capacity (36,37). Interestingly, we found that the addition of guanosine to late log cultures reversed the accumulation of NT8 mRNA and increased the abundance of an otherwise downregulated mRNA. Moreover, we showed that ∼140 transcripts were altered in abundance in guanosine-supplemented medium. Thus, purines act as an extracellular cue that controls gene expression in trypanosomes, as it has been recently reported in Leishmania (38). We identified a short RNA element within NT8 that represses the expression of this transcript during early log phase. It contains a predicted stem structure consisting of a stretch of purines paired with pyrimidines in the opposite strand and a loop sequence (Figure 6C). Similar purine-pyrimidine double-stranded structures followed by regions of unpaired nucleotides could also be detected in the 3′-UTRs of other regulated transcripts, although there seems to be no conservation at the sequence level (Supplementary Figure S5). In contrast to other cis-acting motifs described so far in trypanosomatids, the stem–loop described in this work is sufficient to confer regulated gene expression when placed in different contexts, that is, within the 3′-UTR of transcripts that are not regulated during the growth cycle. The RNA element identified in this work is able to provide regulation in a purine-dependent manner. In two species of the related trypanosomatid Leishmania, purine starvation triggers the transition toward metacyclic forms, the stage responsible for the initiation of infection in the vertebrate host (39). It is therefore conceivable that the same scenario applies to T. brucei and purine depletion triggers differentiation to mesocyclic or other developmental stages (40,41). In addition, in vitro cultures of trypanosomes in late log phase could be mimicking the environment faced by procyclic cells in the midgut of the insect vector. Thus, the results presented here could be useful to understand how trypanosomes regulate gene expression in order to survive in the different environments. How does the RNA element function? There are two possible mechanisms: either direct binding of nucleotide or viatrans-acting factors. Bacterial riboswitches are RNA regions that regulate gene expression by adopting different conformations upon binding to specific metabolites (42). There is no resemblance of the RNA element described here to bacterial purine riboswitches, which are longer in sequence and more complex in structure (43). However, a 34-mer bacterial riboswitch consisting only of a stem–loop structure and a short tail has been described which selectively binds to the nucleoside queuosine (44). Alternatively, specific RNA-binding proteins could bind to the regulatory RNA element in a purine-dependent manner in trypanosomes. For example, a signaling cascade could modify an RNA-binding protein via phosphorylation, methylation or other post-translational modification, which in turn would alter the binding capacity of the protein depending on purine levels. The actual mechanism remains to be determined. Our work has uncovered an unprecedented mechanism by which extracellular purines are able to control gene expression at the RNA level in eukaryotes, and provides an interesting venue for the discovery of novel regulatory molecules and mechanisms in the post-transcriptional world.

SUPPLEMENTARY DATA

Supplementary Data are available at NAR Online.
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Journal:  Mol Microbiol       Date:  2010-10       Impact factor: 3.501

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Authors:  Susanne Kramer
Journal:  Mol Biochem Parasitol       Date:  2011-10-13       Impact factor: 1.759

Review 4.  Posttranscriptional control and the role of RNA-binding proteins in gene regulation in trypanosomatid protozoan parasites.

Authors:  Sandra M Fernández-Moya; Antonio M Estévez
Journal:  Wiley Interdiscip Rev RNA       Date:  2010-05-06       Impact factor: 9.957

5.  Genome-wide analysis of mRNA abundance in two life-cycle stages of Trypanosoma brucei and identification of splicing and polyadenylation sites.

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Journal:  Nucleic Acids Res       Date:  2010-04-12       Impact factor: 16.971

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Authors:  Michaela Müller; Prasad K Padmanabhan; Barbara Papadopoulou
Journal:  Mol Microbiol       Date:  2010-05-24       Impact factor: 3.501

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Authors:  Michaela Müller; Prasad K Padmanabhan; Annie Rochette; Debdutta Mukherjee; Martin Smith; Carole Dumas; Barbara Papadopoulou
Journal:  Nucleic Acids Res       Date:  2010-05-07       Impact factor: 16.971

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Authors:  Susanne Kramer; Mark Carrington
Journal:  Trends Parasitol       Date:  2010-07-06

9.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

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Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

10.  Metabolic reprogramming during purine stress in the protozoan pathogen Leishmania donovani.

Authors:  Jessica L Martin; Phillip A Yates; Radika Soysa; Joshua F Alfaro; Feng Yang; Kristin E Burnum-Johnson; Vladislav A Petyuk; Karl K Weitz; David G Camp; Richard D Smith; Phillip A Wilmarth; Larry L David; Gowthaman Ramasamy; Peter J Myler; Nicola S Carter
Journal:  PLoS Pathog       Date:  2014-02-27       Impact factor: 6.823

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  10 in total

1.  Purine-responsive expression of the Leishmania donovani NT3 purine nucleobase transporter is mediated by a conserved RNA stem-loop.

Authors:  M Haley Licon; Phillip A Yates
Journal:  J Biol Chem       Date:  2020-04-30       Impact factor: 5.157

Review 2.  Untranslated regions of mRNA and their role in regulation of gene expression in protozoan parasites.

Authors:  Shilpa J Rao; Sangeeta Chatterjee; Jayantapal K Pal
Journal:  J Biosci       Date:  2017-03       Impact factor: 1.826

Review 3.  25 years of African trypanosome research: From description to molecular dissection and new drug discovery.

Authors:  Keith R Matthews
Journal:  Mol Biochem Parasitol       Date:  2015-02-28       Impact factor: 1.759

4.  Trypanosoma brucei RRM1 is a nuclear RNA-binding protein and modulator of chromatin structure.

Authors:  Arunasalam Naguleswaran; Kapila Gunasekera; Bernd Schimanski; Manfred Heller; Andrew Hemphill; Torsten Ochsenreiter; Isabel Roditi
Journal:  MBio       Date:  2015-03-17       Impact factor: 7.867

5.  Regulation of gene expression in trypanosomatids: living with polycistronic transcription.

Authors:  Christine Clayton
Journal:  Open Biol       Date:  2019-06-05       Impact factor: 6.411

6.  An RNA-binding protein complex regulates the purine-dependent expression of a nucleobase transporter in trypanosomes.

Authors:  Miriam Rico-Jiménez; Gloria Ceballos-Pérez; Claudia Gómez-Liñán; Antonio M Estévez
Journal:  Nucleic Acids Res       Date:  2021-04-19       Impact factor: 16.971

7.  Deciphering RNA Regulatory Elements Involved in the Developmental and Environmental Gene Regulation of Trypanosoma brucei.

Authors:  Vahid H Gazestani; Reza Salavati
Journal:  PLoS One       Date:  2015-11-03       Impact factor: 3.240

8.  Codon choice directs constitutive mRNA levels in trypanosomes.

Authors:  Janaina de Freitas Nascimento; Steven Kelly; Jack Sunter; Mark Carrington
Journal:  Elife       Date:  2018-03-15       Impact factor: 8.140

9.  Genome Plasticity in Cultured Leishmania donovani: Comparison of Early and Late Passages.

Authors:  Roma Sinha; Mathu Malar C; Subhadeep Das; Sonali Das; Mohammad Shadab; Rukhsana Chowdhury; Sucheta Tripathy; Nahid Ali
Journal:  Front Microbiol       Date:  2018-07-03       Impact factor: 5.640

10.  A Trypanosoma cruzi zinc finger protein that is implicated in the control of epimastigote-specific gene expression and metacyclogenesis.

Authors:  Thais S Tavares; Fernanda L B Mügge; Viviane Grazielle-Silva; Bruna M Valente; Wanessa M Goes; Antonio E R Oliveira; Ashton T Belew; Alessandra A Guarneri; Fabiano S Pais; Najib M El-Sayed; Santuza M R Teixeira
Journal:  Parasitology       Date:  2020-11-16       Impact factor: 3.243

  10 in total

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