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Nucleic Acids Res. Jan 2010; 38(2): 608–617.
Published online Oct 28, 2009. doi:  10.1093/nar/gkp895
PMCID: PMC2811010

A global view of the nonprotein-coding transcriptome in Plasmodium falciparum

Abstract

Nonprotein-coding RNAs (npcRNAs) represent an important class of regulatory molecules that act in many cellular pathways. Here, we describe the experimental identification and validation of the small npcRNA transcriptome of the human malaria parasite Plasmodium falciparum. We identified 630 novel npcRNA candidates. Based on sequence and structural motifs, 43 of them belong to the C/D and H/ACA-box subclasses of small nucleolar RNAs (snoRNAs) and small Cajal body-specific RNAs (scaRNAs). We further observed the exonization of a functional H/ACA snoRNA gene, which might contribute to the regulation of ribosomal protein L7a gene expression. Some of the small npcRNA candidates are from telomeric and subtelomeric repetitive regions, suggesting their potential involvement in maintaining telomeric integrity and subtelomeric gene silencing. We also detected 328 cis-encoded antisense npcRNAs (asRNAs) complementary to P. falciparum protein-coding genes of a wide range of biochemical pathways, including determinants of virulence and pathology. All cis-encoded asRNA genes tested exhibit lifecycle-specific expression profiles. For all but one of the respective sense–antisense pairs, we deduced concordant patterns of expression. Our findings have important implications for a better understanding of gene regulatory mechanisms in P. falciparum, revealing an extended and sophisticated npcRNA network that may control the expression of housekeeping genes and virulence factors.

INTRODUCTION

Malaria is a devastating, life-threatening parasitic disease causing an estimated 515 million clinical cases and 1.0 million deaths annually (1). More than half of the world’s human population lives in areas where malaria is endemic. The protozoan parasite Plasmodium falciparum is the etiological agent of the most virulent form of malaria in humans. Plasmodium falciparum has acquired resistance to many antimalarial drugs and the mosquito vectors have developed resistance to available insecticides.

The P. falciparum genome was recently sequenced (2), and consists of 23 Mb distributed over 14 chromosomes with sizes ranging from 0.643 to 3.29 Mb. In addition to the nuclear genome, P. falciparum contains a 5.9 kb mitochondrial and a 35 kb apicoplast genome. Approximately 5300 protein-coding genes have been identified. The (A + T) content ranges from 80.6% to ~90% in introns and intergenic regions.

Genomes typically encode two different types of RNA molecules: messenger RNAs (mRNAs) and various classes of nonprotein-coding RNAs (npcRNAs). The mRNAs provide templates for protein synthesis, whereas the npcRNAs do not code for proteins but rather perform various regulatory functions exerted by the RNA itself or in complexes with proteins (RNPs). npcRNAs participate in the regulation of diverse biochemical pathways, including chromosome modification, transcription and translation, splicing, developmental timing, cell differentiation, proliferation, apoptosis and organ development [for reviews see (3–7)].

Although the small npcRNA transcriptome has been experimentally identified and successfully verified in several model organisms, very few systematic attempts to uncover the diversity and functions of small npcRNAs in pathogenic organisms have been undertaken to date. Recently, and based mainly on comparative genomics, Chakrabarti et al. (8) detected a number of structural RNAs, e.g. telomerase RNA, 35 small nucleolar RNAs (snoRNAs), spliceosomal small nuclear RNAs (snRNAs), MRP RNA and RNase P RNA, in Plasmodium. In addition, the authors described six new npcRNAs, as of yet, unknown functions. Similarly, Mourier et al. (9) performed computational screens in intronic and intergenic regions of P. falciparum to identify conserved RNA secondary structures between distantly related Plasmodium species, yielding a set of 604 putative npcRNAs; 33 of which they verified experimentally. Notably, 29 RNAs from this dataset overlapped with those of the aforementioned set of Chakrabarti et al. (8). Li et al. (10) reported centromeric expression of small npcRNA candidates (75 and 175 nt) in P. falciparum. Their data suggested bidirectional promoter activities within the centromers of the parasite. This subclass of npcRNA candidates is localized within the nucleus and appears to associate with the centromeric chromatin (10). Taken together, these observations support the hypothesis that these npcRNAs function in the coordinated organizational assembly of chromatin. Interestingly and consistent with the absence of genes encoding argonaute and dicer proteins (11), so far there were no bona fide miRNAs experimentally verified in Plasmodium. However, there might be different and evolutionarily distinct classes of small npcRNAs that compensate for this apparent lack of RNA interference machinery.

Despite the aforementioned studies, the total number of small npcRNAs in the P. falciparum genome, their importance and the variety of functions they serve are still largely unknown. This is partly due to the inherent computational limitations of the algorithms used for RNA predictions. Here we report the experimental identification and analysis of the global small npcRNA transcriptome in P. falciparum and provide its functional annotation. Our data point to the potential regulation of P. falciparum gene expression and virulence by small stable npcRNAs. Conceptual similarities to the RNome of Saccharomyces cerevisiae are discussed. Moreover, given the broad mechanistic spectrum within which npcRNAs act and the low degree of host parasite conservation, small npcRNAs might be considered as potential drug targets.

MATERIALS AND METHODS

cDNA library construction

Total RNA extracted from all human erythrocyte stages of P. falciparum 3D7 strain was size fractionated (10–60 nt and 60–500 nt) on an 8% (w/v) denaturing polyacrylamide gel (7 M urea, 1× TBE buffer). Passive elution was performed in 0.3 M NaOAc (pH 5.3) overnight at 4°C. Subsequently, 5 µg of size-fractionated RNA was treated with tobacco acid pyrophosphatase (Epicenter) for 1 h at 37°C and C-tailed with poly-A polymerase (Invitrogen) for 2 h at 37°C (12). A 5′-DNA SalI adapter (5′-CAACGCGTCGACTACGTGAGATTTGAGGTTC-3′) was then ligated to the 5′-end of the RNA using T4 RNA ligase (Fermentas) at 4°C overnight. First-strand cDNA synthesis was performed using the Transcriptor Reverse Transcriptase (Roche) and a NotI DNA oligonucleotide (5′-GACTAGTTCTAGATCGCGAGCGGCCGCCCGGGGGGGGGGGGGGG-3′), followed by single-stranded PCR reactions using the SalI oligonucleotide. The PCR product was then double digested with SalI (Roche) and NotI (Roche) restriction endonucleases, ligated (T4 DNA ligase, Roche) into the pSPORT1 vector (Invitrogen) and then transformed into Escherichia coli Top10 (Invitrogen) electrocompetent cells.

Northern blot analysis

Plasmodium falciparum total RNA was separated on 8% polyacrylamide/7 M urea gels and electrotransferred to positively charged nylon membranes (Ambion BrightStar-Plus membranes). After UV cross-linking, the membranes were hybridized with npcRNA-specific 32P-end-labeled oligonucleotide probes (Supplementary Table S12) overnight at temperatures ranging from 46°C to 58°C in 1 M sodium phosphate pH 6.2, 7% sodium dodecyl sulfate (SDS). After hybridization, the membranes were washed twice with 0.2 M sodium phosphate, 1% (w/v) SDS buffer for 10 min at 58°C and exposed to MS film (Kodak) at −80°C overnight.

Real-time PCR analyses

Plasmodium falciparum total RNA (500 ng input), isolated from different intra-erythrocyte stages of the parasite, was DNase treated (Roche) and reverse transcribed using Transcriptor Reverse Transcriptase (Roche) and a gene-specific primer (MWG) at 55°C for 1 h (Supplementary Table S12). Real-time PCR with 1:100 diluted cDNAs was performed using the LightCycler 480 (Roche) and SYBR Green I Master (Roche) in 12.5 µl reaction volume (at least in triplicates) under the following cycling conditions: 95°C, 5 min, followed by 45 cycles of 95°C, 20 s; 53°C, 40 s; and 68°C, 50 s. For relative quantification, the seryl-tRNA synthetase (s-tRNA syn) housekeeping gene was used as reference control. The integrities of the obtained products were verified by gel electrophoresis on either 8% polyacrylamide (in 1× TBE buffer) or 2% agarose (in 1× TAE buffer) gels. In addition, a melting curve analysis was carried out for each reaction. The calculations of average Cp values and SDs for each candidate were performed using the Roche LightCycler 480 software. Ratios were calculated as Cp s-tRNA syn/Cp candidate.

Computational analysis

Annotation of the npcRNA candidates

The 5′-adapter and C-tail sequences were removed from cDNAs using UNIX scripts. cDNAs longer than 17 bp were processed further. The sequences were assembled into contigs using the Seqman program of the Lasergene software package. The assembly parameters were set to a 10 bp minimum overlap with sequence similarity of ≥90%. The resulting contigs were also manually inspected. The genomic coordinates of all npcRNA candidates were computed by WU-BLAST stand-alone searches (http://blast.wustl.edu/) against the latest P. falciparum genome project release (2007), accessed via the Malaria Genome Browser (http://areslab.ucsc.edu/data_downloads/). For npcRNA candidates that matched multiple locations, the longest matches with the highest identity percentages were selected (allowing for many but identical matches). Only matches with a minimum identity of 95% were analyzed further. Regions of overlapping transcription between an npcRNA candidate and any known or predicted gene were identified using AWK-based UNIX scripts. The genomic coordinates and respective orientations of all transcripts (or predicted genes) were downloaded via the Malaria Table Browser site (http://areslab.ucsc.edu/cgi-bin/hgTables?command=start). Each result was manually validated using web-based BLAST or BLAT genomic browsers (http://blast.ncbi.nlm.nih.gov/Blast.cgi and http://areslab.ucsc.edu/cgi-bin/hgBlat?command=start). A custom track for the Malaria genome browser (http://areslab.ucsc.edu/cgi-bin/hgCustom?hgsid=13740) containing all novel npcRNA candidates is provided as Supplementary file. For additional methods, see ‘Materials and Methods’ in Supplementary Data.

RESULTS AND DISCUSSION

Construction and analysis of P. falciparum cDNA libraries

Two specialized small size cDNA libraries were generated from size-fractionated total RNA from the P. falciparum clone 3D7 (see Results and Discussion in Supplementary Data). A total of 25 000 cDNA clones were selected at random, sequenced and subsequently analyzed, resulting in 3588 distinct contigs. A majority of the cDNA sequences analyzed could be assigned to known npcRNAs and represented various structural RNA molecules of the P. falciparum transcriptome. Among them, we detected fragments of rRNAs (48%), tRNAs (5%) and the U spliceosomal snRNAs (4%). Apart from known nuclear npcRNAs, we also identified known rRNA fragments encoded by the P. falciparum mitochondrion (see below and also Results and Discussion in Supplementary Data) (13,14) and the plastid-like, circular 35 kb structure. On the other hand, 630 distinct cDNA contigs that matched either the nuclear or mitochondrial genomes of P. falciparum could not be assigned to any known npcRNA or known protein-coding gene, and are, therefore, likely to represent novel members of the small npcRNA transcriptome (Figure 1; Supplementary Tables S1–11; Results and Discussion in Supplementary Data).

Figure 1.
Categories and numbers of identified novel npcRNA candidates. Categories: snoRNA, small nucleolar RNA; scaRNA, small Cajal body-specific RNA; asRNA, cis-encoded antisense npcRNA to ORFs of protein coding genes; mtRNA, mitochondrial npcRNA; raRNA, repeat-associated ...

Novel P. falciparum snoRNAs and small Cajal body-specific RNAs

In eukaryotes, snoRNAs and small Cajal body-specific RNAs (scaRNAs) are divided into two subclasses, the C/D-box sno/scaRNAs and the H/ACA-box sno/scaRNAs, with some of the scaRNAs harboring both boxes. C/D-box sno/scaRNAs target 2′-O-methylation of riboses, while H/ACA-box sno/scaRNAs guide the conversion of uridine into pseudouridine within ribosomal RNA (rRNA) and snRNA targets [for review see (15)]. Here we report 43 npcRNAs that belonged to the C/D and H/ACA-box subclasses of sno/scaRNAs. Among them, we identified 15 novel sno/scaRNAs that escaped previous computational screens (8) (Supplementary Tables S1 and S2; Supplementary Figures S1 and S2). For the majority of the computationally predicted sno/scaRNA candidates, we could determine precise 5′- and 3′-ends (Supplementary Table S1). Most of the novel P. falciparum snoRNAs have functional homologues within the human and yeast RNomes and may target corresponding regions in the 18S and 28S rRNAs (25S rRNA in yeast), respectively (16,17) (Supplementary Table S2; Supplementary Figures S1 and S2). The observed conservation of the novel P. falciparum snoRNAs may be an indication of the functional importance of the corresponding rRNA modifications. However, it is also possible that some of the P. falciparum snoRNA candidates perform species-specific functions (see Results and Discussion in Supplementary Data).

Exonization of a P. falciparum snoRNA

Approximately one-third of the P. falciparum snoRNA genes are situated in introns, the remainders are intergenic (Supplementary Table S1; Supplementary Results and Discussion). Two of the snoRNAs, snoRNA-27 H/ACA-box and snoRNA-28 C/D-box npcRNAs (8) are located within the 3′-untranslated region (UTR) intron of the ribosomal protein gene L7a (Figure 2A; Supplementary Results and Discussion). Interestingly, following reverse transcription polymerase chain reaction (RT-PCR), cloning and sequencing, we observed alternative splicing events within the 3′-UTR of the L7a mRNA that resulted in the exonization of the 3′-portion of snoRNA-27. Structural analysis of the exonized snoRNA-27 domain revealed a K-turn motif-like structure (Figure 2B and E). Both the alternative splice site and the K-turn motif are evolutionarily conserved among all Plasmodium species examined, pointing toward the functional significance of the exonized snoRNA domain as an integral part of the 3′-UTR (Figure 2B and E). Our preliminary data indicated an interaction between the exonized portion of the snoRNA-27 npcRNA and the L7a protein (data not shown), suggesting a possible autogenous regulatory mechanism of gene expression. Alternatively, the identified RNA structural motif within the 3′-UTR of the L7a mRNA may be specifically recognized by K-turn-binding proteins, which, in turn, may influence mRNA transport and/or stability (18). To the best of our knowledge, this is the first report of the exonization of a snoRNA gene that contributes functional parts to a 3′-UTR. In silico screens of other eukaryotic genomes identified additional examples of potential exonizations of snoRNA genes into UTRs of various mRNAs (C.A.Raabe et al., unpublished data); thus pointing toward a mechanism of general relevance.

Figure 2.
Exonization of the P. falciparum snoRNA-27 H/ACA-box npcRNA. (A) Schematic representation of the ribosomal protein L7a gene. Guide element with predicted 2D structure of snoRNA-27 npcRNA is outlined in red; complementarities within 28S rRNAs target sites ...

Telomere- and subtelomere-associated small npcRNA candidates

Based on structural conservation, recent computational, genome-wide screens recovered 33 novel intergenic npcRNA candidates (9); sequence and structural analyses indicate that the vast majority of them belong to the class of the above discussed snoRNA candidates and many among them were also reported by Chakrabarti et al. (8). Our experimental approach uncovered 205 potentially novel npcRNA candidates that are supposedly transcribed within intergenic regions (excluding snoRNAs) (Supplementary Tables S3, S4a, S4b and S5). Half of them contain sequence repeats and are derived from telomeric, subtelomeric or internal satellite-like regions (Supplementary Tables S3, S4a and S4b). Thus, 71 of 205 intergenic npcRNA candidates identified originated from chromosome terminal regions.

The ends of all 14 P. falciparum chromosomes share a common and conserved organization; the telomere repeat units (GGGTTTA) and the nonprotein-coding subtelomeric domain of 15–30 kb are followed by members of the var, rif and stevor multigene families, which encode determinants of virulence and pathology, such as the var-encoded immuno-variant adhesin PfEMP1 (see below) (2,19). The subtelomeric domains consist of six different telomere-associated repetitive elements (TAREs 1–6) (20). TAREs 1–5 are located toward the telomeres, whereas TARE-6, originally known as rep20, is situated upstream of the multigene family clusters. We identified one npcRNA candidate associated with the telomeres and 70 candidates associated with the six TAREs. The telomere-associated repeat npcRNA-6209 resembles the recently described eukaryal telomeric-repeat containing RNAs (Figure 3A and B; Supplementary Table S3) (21–23) and contains the characteristic UU/CAGGG P. falciparum telomere repeat unit (Figure 3A and B). Northern hybridizations suggested that npcRNA-6209 is processed from longer precursors that are transcribed toward the chromosomal ends (Figure 3A and B). Telomeric npcRNAs are thought to function in maintaining telomere integrity (22,23). The 70 subtelomere associated repeat npcRNA candidates identified are derived from the P. falciparum TARE 1–6 regions, and are transcribed from both strands (Figure 3A and C; Supplementary Table S3).

Figure 3.
Plasmodium falciparum telomere-associated repeat and subtelomere-associated repeat npcRNA candidates. (A) Schematic representation of P. falciparum chromosomal ends. Red oval depicts telomere, blue bars indicate the TAREs 1–6 regions. Green arrows ...

Although the functions of the identified subtelomere-associated repeat npcRNA remain elusive, it is tempting to propose, based on their origin and the striking similarities to the RNA-based machinery of S. cerevisiae [i.e. homologs of S. cerevisiae Sir2 or Rrp6 proteins, etc.; (24)], that they are involved in an RNA-mediated regulatory network associated with transcriptional repression and gene silencing through RNA-induced histone deacetylation. Plasmodium falciparum, like S. cerevisiae, lacks all key components of the siRNA machinery (11). However, it is plausible that alternative npcRNA-driven mechanisms have evolved to substitute for the missing siRNA regulatory functions. In S. cerevisiae, parts of the npcRNA transcriptome are associated with transcriptional repression and gene silencing through RNA-induced histone deacetylation (25). Plasmodium falciparum possesses histone deacetylases, and previous studies showed that a functional knock-out of the histone deacetylase PfSir2 disrupted monoallelic expression of the var gene family (26). PfSir2 is a telomere-binding protein that spreads from telomeres along the subtelomeric domain into the cluster of virulence factors, thereby forming a chromosomal gradient of heterochromatin structure and histone hypoacetylation, which contribute to gene silencing and allelic exclusion (27,28).

Alternatively, the subtelomere-associated repeat npcRNA may form DNA/RNA duplexes that, as shown in other systems, are highly recombinogenic (29) and which, in turn, may contribute to the high degree of ectopic recombination displayed by P. falciparum chromosome ends. Ectopic recombination involves the virulence gene clusters and is thought to generate genetic and, in turn, antigenic diversity among virulence factors (30,31). The 20 npcRNA candidates flanking the subtelomeric virulence gene clusters on the side facing the centromere (Supplementary Table S4a) and eight npcRNAs located within these gene clusters (Supplementary Table S4b) may also be involved in the regulatory network that controls expression and diversity of the virulence gene families.

Naturally occurring small antisense npcRNA transcriptome

A growing number of examples illustrate a widespread occurrence of antisense transcription in all kingdoms of life (32–36). A given sense–antisense (SAS) pair might consist of any set and combination of overlapping protein-coding or npcRNAs that are transcribed on opposite strands of overlapping genomic regions. Examples of mammalian wide conserved SAS pairs have been observed, arguing for their functional significance. The processes involving antisense transcription are diverse and the subject of abundant debate (32–34,37).

Various reports point toward an enhanced degree of cis-encoded antisense transcription in P. falciparum (38–40). Here we describe for the first time the pervasive small stable antisense transcriptome in P. falciparum. In our cDNA library, we detected a total of 328 antisense npcRNA (asRNA) candidates that are transcribed complementarily to well-established protein-coding sequence (CDS)-containing genes (Supplementary Tables S6–9; Supplementary Results and Discussion).

The P. falciparum cis-encoded asRNA transcriptome covers genes encoding a broad spectrum of proteins involved in a wide variety of biochemical pathways (Supplementary Tables S7–9; Figure 4A and C). For example, there are transcriptional (PF10_0269) and translational regulators (PFF1500c and PFE0350c) as well as proteins involved in metabolic pathways (PFC0725c) of the parasite (Figure 4A). To gain insights into the functional significance of members of the reported small stable antisense transcriptome, we investigated the developmental expression profiles of a number of selected SAS pairs throughout the intra-erythrocytic stages of the parasite’s lifecycle using real-time PCR (Figure 4B; Supplementary Figure S3). Most SAS pairs exhibited positively co-regulated expression profiles during intra-erythrocytic development (Figure 4B; Supplementary Figure S3). The only exception was the SAS pair asRNA-6967 and PF10_0224 mRNA that displayed an inversely correlated expression profile (Figure 4B). Thus, the selected asRNAs candidates are apparently subjected to tight regulation during intra-erythrocytic development, suggesting that P. falciparum possesses a sophisticated mechanism to control the expression of its small asRNA transcriptome.

Figure 4.
Expression analysis and schematic representation of examples from the cis-encoded asRNA transcriptome in P. falciparum. (A–D) asRNA candidates to protein-coding genes of different biochemical pathways. ORFs of protein-coding genes are drawn as ...

In addition, we detected stable antisense transcripts to various virulence-associated genes (Figure 4C and D; Supplementary Tables S7–9). Of particular interest are the small asRNA candidates complementary to open reading frames (ORFs) of the multigene families var and rif, the main determinants of the parasite’s virulence (Figure 4C and D; Supplementary Tables S7 and S8). We detected 73 small cis-encoded asRNA candidates potentially transcribed from 137 loci complementary to the ORFs of var genes. We also detected 31 rif gene-associated asRNA candidates that might be generated from as many as 71 loci (Supplementary Results and Discussion).

The var gene superfamily encodes immunovariant adhesins, collectively termed Plasmodium falciparum erythrozyte membrane protein1 (PfEMP1), which mediate a broad range of cytoadhesive interactions that eventually lead to the sequestration of infected erythrocytes in the deep vasculature. This pathological property is responsible for much of the disease associated with falciparum malaria (41). Genomic analysis has so far identified a pool of about 60 different var genes per haploid genome (2). Irrespective of the specific upstream region (upsA-E) and the actual promoter sequence associated with a particular member, all var genes follow the rule of monoallelic expression, thereby providing a mechanism to escape the host’s immune defense (42–44). Important questions regarding which genetic elements and epigenetic processes connect single var gene family members to control the transcription of all alleles collectively remain to be solved. We identified small stable asRNAs to all var subgroups (except for the upsE subtype). Moreover, we distinguished two main subtypes of the var asRNA candidates. The first comprises 56 asRNA candidates, each expressed in antisense orientation to the ORF of a single specific var gene. The second comprises 17 asRNA candidates that are each complementary to more than one var gene (i.e. probably a consequence of the aforementioned extensive degree of segmental duplication). An example is asRNA-6707, which may be derived from 20 different var gene loci (Supplementary Table S7). Interestingly, we also observed 41 var genes associated with more than one small asRNA candidate. In summary, we report asRNA candidates to almost all members of the var mRNAs.

Recent reports consider the var antisense RNAs as leaky by-products of var gene expression resulting from the open chromatin structure generated by active sense gene transcription (45). However, Northern blot hybridizations indicated that var antisense transcription results in distinct small stable asRNAs (Figure 4D and data not shown). Interestingly, for various P. falciparum protein-coding genes, there are many detectable ESTs, suggesting that, due to active transcription, open chromatin structures should be assumed. However, for many of those genes we failed to detect small asRNA candidates (data not shown). These observations suggest that active sense gene transcription is not a precondition or an imperative for small stable var asRNA expression. Interestingly, Giardia lamblia, the most common human intestinal parasite, expresses 190 variant-specific surface protein (VSP)-coding genes in response to the host’s immune reaction. Similar to the P. falciparum var genes, expression of VSP genes is strictly regulated and only one VSP is present on the surface of each parasite at any particular time (46). Recently, small cis-encoded antisense RNAs corresponding to the silenced VSP genes were detected, suggesting the involvement of an RNA interference pathway in antigenic variation (47). Although P. falciparum lacks components of the siRNA-based machinery, the similarity in the cis-encoded antisense transcriptome to genes responsible for the severe progression of infection leads one to propose that alternative npcRNA-driven mechanisms have evolved to substitute for the missing siRNA regulatory functions.

How these small asRNAs act is still largely unknown. Analysis of human antisense transcription revealed a number of evolutionarily conserved and functionally significant SAS gene pairs that tend to be co-regulated (48), and, as shown in other systems, antisense transcripts exert their regulatory functions through various means. Antisense transcripts can stall RNA polymerases (49). RNA–RNA duplex formation can further interfere with translation and can facilitate and regulate alternative splicing events (50). There is also evidence suggesting that RNA–RNA duplexes are retained within the nucleus (51). Moreover, recent reports demonstrated positively co-regulated expression of SAS pairs at the levels of both transcription and translation (52). Given that asRNAs can only exert their regulatory functions when their target RNAs are simultaneously present within the cell, the co-expression of SAS pairs in P. falciparum (which is also seen in other systems) fulfills a prerequisite necessary for their biological function (Figure 4B; Supplementary Figure S3). However, in case of the P. falciparum PF6967 gene, the negatively correlated expression of the sense gene and that of the asRNA candidate might represent the first example of transcriptional interference observed between a sense CDS-encoding gene and a small asRNA candidate in P. falciparum (Figure 4B). Certainly, further studies are needed to unravel mechanistic details concerning this antisense transcriptome; however, the results presented here draw a complex picture of the small stable asRNAs in the parasite. The number of asRNAs involved in such a broad range of biochemical pathways suggests a fundamental regulatory network that may compensate in part for the absence of defined transcriptional control elements within the A/T-rich genome of P. falciparum.

Small npcRNA species in mitochondria: fragmented rRNA

To date, the P. falciparum mitochondrion contains the smallest known genome of only 6 kb (14). Apart from three protein-coding genes, approximately 26 npcRNAs have been identified (53). Based on sequence and structural conservation, 20 of the identified npcRNAs previously have been reported to contribute to the formation of the mitochondrial ribosome featuring highly fragmented large rRNAs (14,53). Thus far, 12 rRNA fragments were reported to be part of the large ribosomal subunit, and eight to participate in the formation of the small ribosomal subunit (53). The actual order of the npcRNAs coding for the ribosomal fragments in the mitochondrial genome is not congruent with the arrangement within the functional ribosome. The sizes of known rRNA fragments ranged between 25 and 100 nt (54). Here, we identified 112 npcRNA candidates. Many of them are novel, whereas the remaining are identical or overlap the previously described mitochondrial npcRNAs (Supplementary Table S11; Supplementary Figures S4 and S5). For most of the known npcRNAs, we observed ragged 5′- and 3′-ends (Supplementary Figures S4 and S5; Supplementary Table S11). In addition, we report longer RNAs that span more than one mature candidate. In fact, and in agreement with previous reports on RNA processing, most of the novel mitochondrial npcRNAs harbor 3′-terminal oligo(A) tracts (Supplementary Table S11). All novel npcRNA candidates appear to be oligoadenylated and the size of the oligo(A)-tails vary between 3 and 27 nt per candidate. In contrast to previous reports, we detected substantial differences, with respect to oligo(A)-tail length, between cDNAs of the same RNA. About 12 RNA candidates completely lack an oligo(A) tract, but mainly are represented by a single cDNA clone. Furthermore, we verified two rRNA fragments that form short helices, which, based on sequence and structural conservation, were computationally predicted to participate in the formation of the active GTP center of the large subunit of rRNA (Supplementary Figure S4) (53). Moreover, 10 npcRNA candidates not evidently associated with rRNAs are transcribed from loci intermingled with large or small subunit-coding regions (Supplementary Figure S4; Supplementary Table S11). The degree of fragmentation observed for P. falciparum mitochondrial rRNAs is far higher than reported earlier (Supplementary Figures S4 and S5; Supplementary Table S11) (14). This suggests a possible combinatorial model to generate different RNA structures from a given sequence, depending on where a given fragment of RNA is processed endonucleolytically (Supplementary Figures S4 and S5; Supplementary Table S11). Following this idea, the fragmentation may theoretically compensate for the small size of the P. falciparum mitochondrial genome. In agreement with this idea, the ladder-like Northern blot results indicate that even the longer, precursor-like RNAs display a significant degree of RNA stability, maybe implying that they are also involved in the formation of ribosomal subunits, rather than representing mere precursor-like RNAs or processing intermediates (Supplementary Figures S4 and S5; Supplementary Table S11).

CONCLUSIONS

In summary, our data provide the first global experimental survey of the P. falciparum small nonprotein-coding transcriptome. Indications are that the small npcRNAs form a complex regulatory network in P. falciparum that may participate in the control of gene expression at all levels and may play a pivotal role in antigenic variation and other pathogenic and virulence mechanisms that require the finely tuned expression of various gene families.

SUPPLEMENTARY DATA

Supplementary Data are available at NAR Online.

FUNDING

Nationales Genomforschungsnetz (NGFNII-EP 0313358A and NGFNIII 01GS0808 to J.B. and T.S.R.); European Commission under the apices of the BIOMALPAR Center of Excellence (to M.L.); Scientific Advancement Grant Allocation from the Academy of Science Malaysia (SAGA: 30/INFORMM/6153005A1184 to T.H.T.); M.L. is a member of the Cellnetworks Excellence cluster. Funding for open access charge: NGFNIII 01GS0808.

Conflict of interest statement. None declared.

Supplementary Material

[Supplementary Data]

ACKNOWLEDGEMENT

We thank Marsha Bundman and Stephanie Klco-Brosius for editorial assistance.

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