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. 2021 Oct 21;19(10):e3001434. doi: 10.1371/journal.pbio.3001434

The Plasmodium NOT1-G paralogue is an essential regulator of sexual stage maturation and parasite transmission

Kevin J Hart 1, B Joanne Power 1,#, Kelly T Rios 1,#, Aswathy Sebastian 2, Scott E Lindner 1,*
Editor: Michael Duffy3
PMCID: PMC8562791  PMID: 34673764

Abstract

Productive transmission of malaria parasites hinges upon the execution of key transcriptional and posttranscriptional regulatory events. While much is now known about how specific transcription factors activate or repress sexual commitment programs, far less is known about the production of a preferred mRNA homeostasis following commitment and through the host-to-vector transmission event. Here, we show that in Plasmodium parasites, the NOT1 scaffold protein of the CAF1/CCR4/Not complex is duplicated, and one paralogue is dedicated for essential transmission functions. Moreover, this NOT1-G paralogue is central to the sex-specific functions previously associated with its interacting partners, as deletion of not1-g in Plasmodium yoelii leads to a comparable or complete arrest phenotype for both male and female parasites. We show that, consistent with its role in other eukaryotes, PyNOT1-G localizes to cytosolic puncta throughout much of the Plasmodium life cycle. PyNOT1-G is essential to both the complete maturation of male gametes and to the continued development of the fertilized zygote originating from female parasites. Comparative transcriptomics of wild-type and pynot1-g parasites shows that loss of PyNOT1-G leads to transcript dysregulation preceding and during gametocytogenesis and shows that PyNOT1-G acts to preserve mRNAs that are critical to sexual and early mosquito stage development. Finally, we demonstrate that the tristetraprolin (TTP)-binding domain, which acts as the typical organization platform for RNA decay (TTP) and RNA preservation (ELAV/HuR) factors is dispensable for PyNOT1-G’s essential blood stage functions but impacts host-to-vector transmission. Together, we conclude that a NOT1-G paralogue in Plasmodium fulfills the complex transmission requirements of both male and female parasites.


Malaria parasites face two bottlenecks in their life cycle: their two transmission events. This study shows that Plasmodium has taken the unorthodox approach of duplicating the gene for the NOT1 RNA regulatory scaffold protein, allowing it to dedicate one paralog to functions that are essential for transmission from mammalian hosts to the mosquito vector.

Introduction

Malaria is still one of the great global health problems of the world today, with nearly 2 million new reported infections and 400,000 fatalities occurring annually [1]. Transmission of the Plasmodium parasites that cause malaria occurs through the bite of a female anopheline mosquito, which transmit liver-infectious sporozoites to initiate a new infection of a mammalian host. Completion of the clinically silent liver stage of development results in the release of membrane-enclosed bundles called merosomes into the blood stream, which are filled with red blood cell–infectious merozoites that can be released upon passage through microcapillaries [2,3]. Merozoites initiate the asexual blood stage of development, thus initiating a rapid expansion of parasite numbers in the host. However, these asexual blood stage parasites cannot be productively transmitted back to the mosquito. For this, a fraction of blood stage parasites will commit to a sexual developmental program to produce male and female gametocytes, which is dependent upon the ApiAP2-G-specific transcription factor [46] and is also affected by ApiAP2-G2, which is thought to act as a transcriptional repressor of off-stage transcription [79]. In addition, several other protein- and epigenetic-based regulators are central to the commitment to sexual stage development (reviewed in [10,11]).

In contrast, less is known about the effects upon RNA metabolism and translational control during and following the commitment step of Plasmodium, which presumably would be regulated by RNA-binding proteins and their binding partners [12]. What is clear is that Plasmodium has evolved and adapted common eukaryotic mechanisms for translational repression to promote the efficiency of its transmission, which has been observed in Plasmodium falciparum, Plasmodium berghei, Plasmodium yoelii, and Plasmodium vivax (reviewed in [13]). Among the proteins implicated in Plasmodium’s translational control of specific mRNAs in female gametocytes are the following: DOZI (orthologue of an mRNA-decapping activator human DDX6/yeast Dhh1), CITH (orthologue of Lsm14A), PUF family proteins (PUF1 and PUF2), and ALBA family proteins (ALBA1-4) [1420]. In addition, the CAF1 and CCR4-1 deadenylase members of the CAF1/CCR4/NOT complex also appear to play an important role in male gametocyte development and in host-to-vector transmission by counterintuitively helping to preserve mRNAs, although the mechanism by which this occurs (e.g., stabilization) remains to be demonstrated [21].

In model eukaryotes and human cells, the CAF1/CCR4/NOT complex is best known for its role as the major mRNA deadenylation complex of eukaryotes, but it touches upon many aspects of RNA metabolism from the birth to death of mRNAs, as well as translational repression of specific transcripts (reviewed in [22]). The structure of the complex was solved from Schizosaccharomyces pombe, which confirmed the modular nature of this complex with effector proteins being recruited to a central NOT1 scaffold [23]. Together with higher-resolution structures of different interaction modules and interacting proteins from several eukaryotes (NOT1 with DDX6, the NOT Module (NOT1-NOT2-NOT5), NOT1 C-terminal domain-NOT4, NOT1 with CAF40, CAF1, CCR4; reviewed in [24]), we have a reasonably good understanding of the overall composition and architecture of this complex. Moreover, the functions of this complex are well known as well. The decay of mRNAs first typically involves the shortening of the poly(A) tail by CAF1/CCR4/NOT and/or Pan2/Pan3 (although Pan2/Pan3 have not been identified in Apicomplexa). This is then followed by the removal of the m7G 5′ cap by DCP1/DCP2, which can be activated by a DDX6 protein [25,26]. Finally, the now unprotected mRNA is degraded by 5′ to 3′ and 3′ to 5′ exonucleases.

In these processes, NOT1 acts as a central nexus for the overall functions of its complex. Because NOT1 acts as an essential scaffold and yet lacks enzymatic activity of its own, recruitment of the appropriate effector proteins and their regulators is critical for the function of this complex. In addition to the proteins noted above, embryonic lethal abnormal vision (ELAV) family proteins and tristetraprolin (TTP) are recruited and act as antagonistic, mutually exclusive modulators to functionally toggle the complex’s activity between transcript preservation versus transcript degradation [27]. ELAV family proteins (which include HuR and CELF proteins) and TTPs (which are C3H1 zinc finger proteins and include ZFP36, TIS11) are RNA-binding proteins that bind with AU-rich elements in eukaryotes [28]. In addition to its roles in RNA metabolism, recently, it was shown that the CAF1/CCR4/NOT complex acts to monitor for low translational efficiency. In this work, NOT5 was found to associate with ribosomes attempting to translate suboptimal codons by binding the ribosomal E-site in its posttranslocation state [29]. Those authors proposed that the association of CAF1/CCR4/NOT and Dhh1 (the orthologue of DDX6, DOZI) with these ribosomes prompts cotranslational decay of these mRNAs with an abundance of suboptimal codons via deadenylation and decapping. As the localization of Dhh1 and orthologues to cytosolic processing bodies is associated with its activity, it is notable that the association of NOT1 with Dhh1 acts to inhibit the assembly of processing bodies in yeast [30]. Taken together, as NOT1 itself lacks any enzymatic activities, it brings together protein effectors that can degrade or preserve mRNAs and can selectively target mRNAs that are not optimally coded for translation. Due to key differences between Plasmodium and other eukaryotes, such as its extreme AU-rich transcriptome, it is not certain if the same activities are used in the same ways in Plasmodium parasites.

Previous work that aimed to determine whether Plasmodium uses the CAF1/CCR4/NOT complex similarly was first focused on the P. falciparum CAF1 deadenylase, which was identified through the piggyBac transposon screen [31]. While initially thought to be dispensable, further experiments demonstrated that only the conserved N-terminal CAF domain was essential and remained expressed with the piggyBac insertion [21]. We have recently shown that both the specialty CCR4-1 deadenylase and the generalist CAF1 deadenylase are critical for RNA metabolism in gametocytes and affect the synchronicity of male gametocytogenesis and transmission to mosquitoes [21]. In this work, we experimentally identified that the CCR4-1 deadenylase interacts with canonical members of the CAF1/CCR4/NOT complex (NOT2, NOT4, NOT5, CAF40), including both deadenylases (CCR4-1, CAF1), as well as the Plasmodium orthologue of DDX6 (DOZI), CITH, an ELAV family protein (CELF2/Bruno/HoBo), and more. Moreover, we also identified ribosomal proteins, suggesting that a physical link between CAF1/CCR4/NOT via NOT5 could be present in Plasmodium as has been seen for model eukaryotes [29]. Through label-free quantification, we also identified a highly abundant, but uncharacterized protein annotated simply as “NOT Family Protein.”

Here, we demonstrate that in contrast to other sequenced eukaryotes, Plasmodium and 2 related parasites have duplicated the not1 gene, and Plasmodium has dedicated one of the paralogues for essential transmission-related functions. We have reannotated these paralogues as NOT1 and NOT1-G according to their phenotypes and functions. We show that NOT1-G is responsible first for a slight dampening of the production of gametocytes and yet then promotes the maturation and fertility of those gametocytes that do commit. PyNOT1-G affects both sexes, as it is essential for the production of male gametes and the continued development of fertilized female gametes in early mosquito stage development. Because the CAF1/CCR4/NOT complex associates with members of the DOZI/CITH/ALBA complex in P. yoelii, these phenotypes indicate that PyNOT1-G is a central and essential organizer of gametocyte development.

Results

Parasites of the Aconoidasida class have duplicated the not1 gene

Control of mRNA metabolism is a central feature of eukaryotic gene regulation. The CAF1/CCR4/NOT complex plays many central roles in these processes from the birth to the death of mRNAs, with its best appreciated role being in the decay of the poly(A) tail of mRNAs. Previously, we and others have demonstrated the importance of the CAF1 and CCR4-1 deadenylases of this complex to the sexual development of both rodent-infectious and human-infectious malaria parasites (P. yoelii and P. falciparum, respectively) [21,31]. In our previous efforts to experimentally determine the composition of the CAF1/CCR4/NOT complex in Plasmodium through mass spectrometry–based proteomics, we identified a protein annotated only as “NOT Family Protein” (PY17X_1027900) that was found to be associated with CCR4-1 [21]. Bioinformatic analyses using PlasmoDB and BLASTp identified that the protein encoded by PY17X_1027900 mostly closely matched eukaryotic NOT1 proteins but lacked a bioinformatically predictable TTP-binding domain that is present in the gene currently annotated as NOT1 (PY17X_0945600) (Fig 1) [32,33]. Because no other sequenced eukaryotes to date have an annotated duplication of not1, we used bioinformatic sequence comparisons to explore this further. We concluded that these 2 not1 genes were paralogues due to the high degree of sequence conservation in specific domains at both the DNA and protein levels (DNA: CAF1-binding domain 72% identity, NOT4-binding domain 66% identity; Protein: CAF1-binding domain 41% identical/63% positive, CAF40-binding domain 33%/57%, NOT4-binding domain 48%/62%, NOT1 domain 50%/73%). Moreover, these genes are highly conserved, syntenic, and only present across Plasmodium species and 2 other species of the Aconoidasida class (Genera: Theileria, Babesia) but not in other apicomplexans, model eukaryotes, or humans. Together, this provides evidence that these are paralogues of NOT1 that arose from a gene duplication in the common evolutionary ancestor [34]. As these parasites share some common traits for their transmission strategies between mammals and insects that are not shared with other apicomplexans, we hypothesized that this NOT1 paralogue may have evolved for specialized functions during parasite transmission.

Fig 1. NOT1 is duplicated in the Aconoidasida class of apicomplexans.

Fig 1

Shown here are examples of NOT1 proteins from the Aconoidasida class of apicomplexans with a representative model eukaryote NOT1 protein from Saccharomyces cerevisiae. Protein and domain sizes are drawn to scale. Bioinformatically predicted domains were identified through BlastP searches and amino acid alignments. TTP, tristetraprolin.

Plasmodium’s NOT1 paralogues localize to cytosolic puncta

Due to the central roles that the CAF1/CCR4/NOT complex plays in RNA metabolism in eukaryotes, this complex is typically found in the nucleus and/or in cytosolic puncta associated with complexes in the spectrum between stress granules and processing bodies (P-bodies) [22,35]. Representative members of this complex (CAF1, CCR4-1) in Plasmodium also have this expression and localization profile and are found predominantly in cytosolic puncta and associate with proteins that are commonly associated with these granules [21]. To determine if the 2 paralogues of NOT1 are used at different points in the Plasmodium life cycle, we used conventional reverse genetics approaches to append a C-terminal GFP tag to each NOT1 paralogue in P. yoelii (S2 Fig) and assessed their expression and localization (Figs 2 and S2). Both NOT1 paralogues were expressed and localized at the same times in the life cycle, and the expression pattern for PyNOT1 and PyNOT1-G is cytosolic and at least partially punctate. This is consistent with the localization of other members of the CAF1/CCR4/NOT complex in Plasmodium, model eukaryotes, and human cells [21,22]. Of note, the NOT1 paralogues were expressed in both asexual and sexual blood stage parasites with a nonuniform, cytosolic distribution with some puncta visible. Both paralogous proteins were expressed in mosquito stage parasites, with localization shifting from a cytosolic diffuse pattern in oocysts, to a more nucleus-proximal pattern in oocyst sporozoites, and, finally, to a more apical pattern in salivary gland sporozoites. No expression of either protein was observed in mid- or late-liver stage parasites. Together, these expression and staining patterns match what is commonly seen for members of the CAF1/CCR4/NOT complex in other eukaryotes, as well as what we observed previously in P. yoelii with 2 other members of this complex: CAF1 and CCR4-1 [21]. Coupled with proteomic data showing their association with CCR4-1, this strongly indicates that these NOT1 paralogues are resident members of the CAF1/CCR4/NOT complex in P. yoelii.

Fig 2. PyNOT1 and PyNOT1-G have similar expression patterns and localize to cytosolic puncta.

Fig 2

Representative IFA images of (A) PyNOT1::GFP and (B) PyNOT1-G::GFP blood stage parasites show localization patterns typical for the CAF1/CCR4/NOT complex in eukaryotes. All samples were stained with DAPI and mouse anti-GFP to image PyNOT1::GFP or PyNOT1-G::GFP. Asexual blood stage parasites were counterstained with anti-PyACP and DAPI to identify ring, trophozoite, and schizont stages. Gametocytes were counterstained with anti-alpha tubulin (male) or anti-PyCITH (female). Scale bar is 5 μm. DIC, differential interference contrast; IFA, immunofluorescence assay.

PyNOT1 (PY17X_1027900) is critical for asexual blood stage growth in P. yoelii

NOT1 is essential and acts as a central scaffold to nucleate several RNA-centric functions in eukaryotes [22]. The CAF1/CCR4/NOT complex is most well known for its role in mRNA deadenylation but also contributes to transcriptional initiation and elongation, translational repression, mRNA export, and nucleus-based quality control activities. To determine if either Plasmodium NOT1 paralogue bore a greater functional semblance to canonical NOT1 proteins in eukaryotes or had dedicated functions in Plasmodium, we used conventional reverse genetics approaches to delete the coding sequence of each paralogue, which was confirmed by genotyping PCR (S3 Fig).

In agreement with the critical/essential role of NOT1 to eukaryotic RNA metabolism, our attempts to delete py17x_1027900 were largely unsuccessful. However, in 1 of 2 technical duplicates of 6 independent transfection attempts, we were able to obtain a 100% transgenic population with an extremely slow growth phenotype. It was only possible to produce this parasite line because the population was entirely transgenic, as the presence of even a small number of wild-type parasites with de novo resistance to pyrimethamine would likely have rapidly outgrown these transgenic parasites in the mouse. These data align with results from both PlasmoGEM (P. berghei) and piggyBac (P. falciparum) genetic screens that noted the importance of this gene to asexual blood stage growth [3638]. Due to the severe asexual blood stage defect, which closely aligned with observations of NOT1-related phenotypes in other eukaryotes, we propose that this “NOT Family Protein” is truly the NOT1 protein of Plasmodium parasites. Finally, it is notable that in contrast to other eukaryotes, PyNOT1 can be deleted and indicates that it is not strictly essential.

PyNOT1-G (PY17X_0945600) dampens sexual stage commitment but is essential for sexual maturation

In stark contrast, the paralogous gene currently annotated as NOT1 (py17x_0945600) was readily deleted, and multiple independent clones were obtained by limited dilution cloning (S3B Fig). This was unexpected given the essential role of NOT1 in all other eukaryotes and lends further credence to the assignment of the first paralogue described above as the true NOT1 protein of Plasmodium parasites. The ability to disrupt this gene was corroborated by the piggyBac screen in P. falciparum, which identified that transposon insertions in this gene could still produce viable parasites [36].

In order to determine if py17x_0945600 plays a specialized role in Plasmodium growth, development, or transmission, mice were infected with 10,000 Py17XNL wild-type parasites or clonal py17x_0945600-null parasites, and the progression of the asexual blood stage infection was monitored by daily Giemsa-stained thin blood smears in technical and biological triplicate. No significant asexual blood stage growth defects were observed for py17x_0945600-null parasites until late in the blood stage infection (day 10). At this point, there was a small but statistically significant decrease in peak parasitemia with a concomitant earlier time to parasite clearance (Fig 3A).

Fig 3. PyNOT1-G is essential to the formation of male gametes.

Fig 3

(A) The blood stage growth of Py17XNL wild-type parasites and 2 independent clones of pynot1-g parasites was compared over the entire course of infection in biological triplicate, with each replicate done in technical triplicate. Maximal parasitemia of pynot1-g parasites was lower and resulted in slightly faster clearance by the mouse. (B) The number of gametocytes produced by Py17XNL WT-GFP parasites and 2 independent clones of pynot1-g parasites was measured by flow cytometry using the presence of GFP fluorescence in biological duplicate, with each replicate done in technical triplicate. Average values for each biological replicate, their median, and range are provided. Statistical comparisons used an unpaired t test with Welch correction. (C) Male gametogenesis was measured by DIC microscopy to count the number of exflagellation centers (“centers of movement”) per microscopic field using a 10× eyepiece and 40× objective lens. The same mice and time points were used as in panel A and were assessed in biological triplicate, with each replicate done in technical triplicate. A cross symbol (A, C) indicates that a single mouse infected with Py17XNL wild-type parasites was euthanized on day 15 due to parasitemia more than 10% as required by our approved vertebrate animal protocols. Error bars indicate the standard deviation. Underlying data are provided in S1 Data. DIC, differential interference contrast.

One explanation for this defect could be due to an overcommitment to gametocytogenesis in the absence of this gene product, as committed male and female parasites are differentiated cells and cannot contribute to increasing the total parasitemia further. Moreover, this asexual blood stage growth defect became pronounced approximately when gametocyte numbers begin to be abundant in the P. yoelii 17XNL strain (approximately 1% parasitemia). To assess this, we compared the total gametocytemia of Py17XNL WT-GFP parasites and py17x_0945600-null parasites following treatment with a 2-day course of sulfadiazine to selectively kill asexual blood stage parasites and to leave gametocytes in circulation. By a flow cytometric assay to count GFP-expressing parasites, we observed a slight increase in gametocytogenesis (27% to 35% increase, unpaired t test with Welch correction, p = 0.04) in py17x_0945600-null parasites compared to wild-type parasites (Fig 3B and S2 File). The increase in gametocytemia paired with the decrease in asexual blood stage parasitemia may indicate that PY17X_0945600’s role in wild-type parasites is to slightly dampen commitment to gametocytogenesis. To assess this effect upon gametocytes further, the same mice that were used to assess the asexual blood stage growth kinetics were also monitored for the presence of male gametes through observation of exflagellation centers (“centers of movement”) (Fig 3C). We observed no exflagellating male gametes throughout the entire course of blood stage infection, indicating that PY17X_0945600 is essential for either gametocyte maturation and/or gametogenesis. Taken together, we have reannotated PY17X_0945600 as PyNOT1-G due to its dual and opposed functions to perhaps dampen gametocyte commitment and yet act in an essential manner to drive male gametocyte maturation.

PyNOT1-G is essential to zygote development

While these data indicate the PyNOT1-G is essential for the complete maturation of male parasites, these experiments did not directly study the impact of PyNOT1-G on female gametocytes or upon host-to-vector transmission. To address these questions, we conducted a genetic cross experiment with Py17XNL wild-type parasites that do not express a fluorescent protein and pynot1-g parasites that express GFPmut2 from a constitutive promoter integrated in the pynot1-g locus. If either male or female pynot1-g parasites were viable for transmission either by self-fertilization or by crossing with wild-type parasites, GFP-expressing oocysts would be evident in the mosquito (Fig 4A). In contrast, if only wild-type male and female parasites were fertile, only nonfluorescent oocysts would be observed. In 3 independent transmission experiments, donor mice infected with either Py17XNL wild-type parasites or pynot1-g parasites were used to produce parasites for IV transfer of (1) 10,000 wild-type parasites; (2) 5,000 wild-type parasites + 5,000 pynot1-g parasites; or (3) 10,000 pynot1-g parasites into experimental mice. Parasitemia increased to 1% with the same timing in all mice and exflagellating male gametes were observed in mice infected with wild-type parasites or a combination of wild-type and pynot1-g parasites but were not seen with infections with pynot1-g parasites. Mice were anesthetized and mosquitoes were allowed to blood feed for 1 period of 15 minutes. Seven days post-blood meal, midguts were removed and oocysts were counted and scored by differential interference contrast (DIC) and fluorescence microscopy. No oocysts were detected in mosquitoes that fed upon mice infected with pynot1-g parasites, which is consistent with the absence of exflagellating male pynot1-g gametes (Fig 3C). However, in mosquitoes that fed upon wild-type parasites or a mixture of wild-type and pynot1-g parasites, only nonfluorescent oocysts were detected, thus indicating that both male and female pynot1-g parasites are unable to productively transmit to mosquitoes. Additionally, the effect upon both sexes of pynot1-g parasites was further corroborated by the presence of approximately half of the number of oocysts in mosquitoes that fed upon the mixture of wild-type and pynot1-g parasites as compared to those that fed upon only wild-type parasites. This indicates that PyNOT1-G is an essential driver of maturation for both male and female Plasmodium parasites.

Fig 4. PyNOT1-G is essential to the development of zygotes resulting from female gametocytes.

Fig 4

(A) A genetic cross experiment with Py17XNL wild-type parasites (colorless) and pynot1-g (GFP+) transgenic parasites was conducted to assess effects upon parasite transmission. Mice were infected with a total of 10,000 mixed blood stage parasites consisting of only wild-type parasites, an equal mixture of wild-type and transgenic parasites, or only transgenic parasites. Mosquito transmission occurred on the day where peak exflagellation was observed for mice infected with only wild-type parasites, and colorless and GFP+ oocysts were counted 7 days post-blood meal by fluorescence and DIC microscopy. An illustration of the experimental readout/interpretation (top) and the results (bottom) are provided. Experiments were conducted in biological triplicate, with error bars denoting SEM. (B) A genetic cross experiment with Py17XNL WT-mScarlet, WT-GFP, and pynot1-g (GFP+) transgenic parasites was conducted using in vitro ookinete culture conditions. Equal volumes of infected blood at comparable parasitemias were mixed as indicated and were scored by live fluorescence microscopy for the presence/absence of mScarlet and GFP signals. Representative images of the WT-mScarlet x WT-GFP genetic cross are provided to show zygote, retort, and ookinete stages (top). Results of all tested genetic crosses are provided (bottom) from experiments conducted in biological duplicate. Parasites resulting from the WT-mScarlet x pynot1-g (GFP+) cross could not develop beyond the zygote stage. Scale bars are 5 μm (zygote, retort) or 10 μm (ookinete). Underlying data are provided in S1 Data. DIC, differential interference contrast.

As these defects in pynot1-g parasites parasite transmission could result from a block in early mosquito stage development of female parasites, we used an in vitro genetic cross approach to determine if either sex of pynot1-g parasites could produce zygotes or ookinetes. As controls, we used PyWT-mScarlet (Py1115) and PyWT-GFP (Py489) transgenic lines. As anticipated, we found that wild-type parasites could readily self-cross (GFP+/mScarlet−, GFP−/mScarlet+) and cross (GFP+/mScarlet+) to yield zygotes, retorts, and ookinetes (Fig 4B). In contrast, experiments that crossed PyWT-mScarlet with GFP-expressing pynot1-g parasites could not yield pynot1-g self-crossed zygotes but could yield crossed (GFP+/mScarlet+) zygotes that failed to develop further (Fig 4B). This female-specific phenotype matches that seen previously for pbdozi and pbcith parasites and indicates that PyNOT1-G may play an important role in preparing the female gametocyte for further development [19,20].

Extensive transcriptomic dysregulation in pynot1-g schizonts and gametocytes

As the CAF1/CCR4/NOT complex can contribute toward both mRNA preservation and mRNA decay activities in Plasmodium and other eukaryotes [21,22], we used total comparative RNA-seq (WT versus pynot1-g parasites) to assess differences in transcript abundances in both mixed male and female gametocyte populations and asexual blood stage schizonts depleted of rings, trophozoites, and gametocytes through a subtractive magnetic approach. A variance-stabilizing transformation (VST) of the sample raw counts was used to generate a principal component analysis (PCA) plot of these data, which shows good within-group clustering and separation of different sample types (Fig 5A). A heatmap of the expression of 50 selected transcripts for gametocytes and schizonts illustrates this clustering and changes in gene expression as well (Fig 5B). MA plots and Volcano plots of gametocytes (Fig 5C and 5E) and schizonts (Fig 5D and 5F) show differential expression of specific transcripts in both stages that is dependent upon PyNOT1-G.

Fig 5. Extensive dysregulation of mRNAs in pynot1-g schizonts and gametocytes.

Fig 5

Comparative RNA-seq of wild-type or pynot1-g transgenic parasites was conducted using mixed male and female gametocytes or schizonts that were enriched through a subtractive magnetic depletion approach. (A) VST-transformed raw counts were used as input values to generate a PCA plot to demonstrate sample clustering. (B) Heatmaps of the expression of 50 selected transcripts for gametocytes (left) and schizonts (right) further illustrate clustering and the effect of deleting pynot1-g. (C and D) MA plots generated from the estimated shrunken log2 fold changes are shown for gametocytes (C) and schizonts (D), with data points shaded in red indicating p < 0.05 (comparing pynot1-g/WT). Data points that do not meet this threshold are denoted as open triangles (oriented up or down). (E and F) Plotted are the −log10 FDR vs the log2 fold change values for differentially expressed transcripts as per DEseq2, with transcripts shaded based upon their fold change values (comparing pynot1-g/WT). Similar gametocyte- and early mosquito stage-enriched transcripts were significantly lower in abundance in both stages. (G and H) CirGO plots of GO terms for gametocytes (left) and schizonts (right) are provided that highlight key biological processes that are impacted by PyNOT1-G. FDR, false discovery rate; GO, gene ontology; PCA, principal component analysis; VST, variance-stabilizing transformation.

First, we further examined the effect of PyNOT1-G in gametocytogenesis through these comparative RNA-seq data of Py17XNL wild-type and pynot1-g gametocytes (y5C and 5E and S1 Table). In addition to the use of DEseq2, we have also imposed a transcript integrity number (TIN) metric to help identify and remove reads due to run-in transcription [39,40]. We observed that pynot1-g gametocytes had lower abundances of 427 transcripts (threshold of ≤ log2 −2.5, false discovery rate (FDR) < 0.05), including a substantial number of gametocyte-enriched (p25, p28, 3 apiap2 transcripts, imc-related transcripts, ccp family transcripts, cpw-wpc family transcripts, migs, and actin II) and early mosquito stage (ctrp, warp, psop family transcripts, and perforins) transcripts [4,41]. Notably, the transcript abundance of the NOT1 paralogue (pynot1) was not affected, whereas pyapiap2-g, the master regulator of commitment to gametocytogenesis, was down log2 −1.2 (2.3-fold reduction) in pynot1-g parasites. Enriched gene ontology (GO) terms include cellular component terms related to the cytoskeleton, microtubules/actin, and molecular function terms related to binding to the cytoskeleton (S1 Table). CirGO plots of the GO terms (biological processes) associated with the differentially expressed transcripts illustrate this further, with several specific terms present that are related to these same processes, structures, and features for both gametocytes and asexual blood stage schizonts (Fig 5G and 5H). In contrast, few transcripts had increases in abundance (threshold of ≥ log2 2.5, FDR < 0.05), but those that were more abundant are from off-stage genes related to invasive stages and/or sporozoites. Further expansion of the threshold (≥ log2 2.0, FDR < 0.05) then included many more off-stage, apical organelle gene products (MSP family, RON family, RhopH family, RAP family, SERA family, MAEBL, TREP).

This transcriptional dysregulation is catastrophic for male gametocytes, as they are unable to complete gametogenesis. However, despite this substantial dysregulation of transcript abundances, it is remarkable that female gametocytes are still permissive to form female gametes, which can be fertilized by competent wild-type male gametes. However, because developmental arrest occurs at the zygote stage, this indicates that the RNA homeostasis promoted by the PyNOT1-G complex is essential for further development, as was seen for studies of PbDOZI and PbCITH [19,20]. In agreement with this, we compared differentially expressed transcripts from pynot1-g and pbdozi and/or pbcith parasites and found that 98 of the 115 transcripts that are ≤ log2 −1 (p < 0.05) in pbdozi and/or pbcith are also reduced in abundance ≤ log2 −2.5 in pynot1-g parasites. By matching the reporting thresholds to ≤ log2 −1 (p < 0.05), nearly all (105/115) of the transcripts that are lower in abundance in pbdozi and/or pbcith parasites are also in lower abundance in pynot1-g parasites. This highly similar effect may be attributable to these proteins working in concert, as DOZI and CITH are known to interact with the CAF1/CCR4/NOT complex in Plasmodium and other eukaryotes [21,22]. Additionally, many of the same transcripts that are similarly dysregulated in the pyalba4 line are also dysregulated in pynot1-g parasites (265 of 438 transcripts are ≤ log2 −1 (p < 0.05) in both lines) [14]. Finally, 81 transcripts are similarly dysregulated across all 4 transgenic parasite lines (pbdozi, pbcith, pynot1-g, and pyalba4) and include p25, lccl family, IMC-related, ap2-o, warp, and psop family gene products (S2 Table). These results also have extensive overlap with PbDOZI-associated transcripts identified by RIP-chip (409 of 1,046 transcripts) [16].

However, as we also determined that PyNOT1-G has an impact on the peak and clearance of asexual blood stage growth, we also assessed changes in transcript abundance in asexual blood stage schizonts that can already be in the process of commitment. As blood stage infections of P. berghei and P. yoelii often contain a significant number of gametocytes (10% of total parasites), we developed a magnet-based subtractive separation approach to remove trophozoites, schizonts, and gametocytes from the sample through 4 serial passes over magnetized columns. Flow cytometric analyses demonstrated that gametocytes consisted of <1% of the remaining parasites and that additional passes through the magnetized columns provided no additional enrichment. The remaining ring stage parasites were cultured ex vivo until they reached a mature schizont stage based upon Giemsa staining and then were subjected to total comparative RNA-seq.

Here, we observed similar trends in the differential abundance of mRNAs that could be directly or indirectly preserved by PyNOT1-G and its complex in schizonts (Fig 5D and 5F and S3 Table). Those 293 mRNAs that are less abundant in pynot1-g schizonts include many classic and recently defined early gametocyte transcripts [4,41]. These include many mRNAs that are translationally repressed in P. berghei and/or P. falciparum, such as p25 and p28 (49.5-fold and 74.6-fold reductions) as well as several members of the psop, lccl, and ccp/lap gene families. Moreover, other transcripts that were also dysregulated in gametocytes were similarly dysregulated in schizonts, including warp, hsp20, migs, soap, p230p, p48/45, gest, gamete egress protein (gep), male development protein 1 (mdv1), plasmepsin vIII, and actin ii. Notably, pyapiap2-g is also down log2 −2.3 (approximately 5-fold) in schizonts. Statistically significant GO terms related to these transcripts, and to processes downstream of the schizont stage, include cellular component terms related to the crystalloid, cytoskeleton, microtubules, and dynein, molecular function terms related to motor activity, and biological process terms related to meiosis, microtubules, and movement. Together, this indicates that the specific transcripts that are regulated by PyNOT1-G in gametocytes are also affected by it prior to gametocytogenesis, suggesting that the setting of a preferred RNA homeostasis for host-to-vector transmission may occur earlier than anticipated. It remains to be determined if PyNOT1-G and its complex acts to stabilize mRNAs or if it acts in some other way to preserve the abundance of specific mRNAs. Importantly, these multifaceted roles of PyNOT1-G in RNA metabolism match and exceed the roles seen with CCR4-1 (one of the deadenylases of this complex) and the DOZI/CITH/ALBA4 that can associate with it [14,1921].

The tristetraprolin-binding domain of PyNOT1-G is dispensable for its essential roles in blood stage parasites but is important for transmission

The diverse functions of the CAF1/CCR4/NOT complex rely upon the associations of diverse regulators with the NOT1 scaffold to direct its activities to specific mRNAs. One such pair of antagonizing RNA-binding regulators, ELAVs (Hu family of proteins (HuR)) and TTP (C3H1 RNA-binding zinc finger proteins), bind to the same TTP-binding domain on NOT1 proteins and functionally toggle this complex between transcript preservation and transcript degradation, respectively [28]. While ELAV-like/HuR proteins can be bioinformatically predicted and have been found associated with the CAF1/CCR4/NOT and DOZI/CITH/ALBA regulatory complexes (CELF1, CELF2/Bruno/HoBo), a Plasmodium TTP orthologue cannot similarly be predicted with confidence [14,21,42]. The only bioinformatically discernable difference between the 2 NOT1 paralogues was the presence of a conserved TTP-binding domain (AA7-164) on NOT1-G, which is strongly conserved across Plasmodium species (e.g., 100% identical in P. berghei ANKA, 73% identical/88% similar in P. falciparum NF54, 80% identical/92% similar in P. vivax), but that cannot be detected on PyNOT1 or its orthologues in other Plasmodium species (Fig 1).

To this end, we used 2 complementary approaches to examine the importance of this putative TTP-binding domain to the function of PyNOT1-G. First, we created a transgenic parasite line using the strong, constitutive pbeef1a promoter to overexpress the TTP-binding domain (AA1-199) of PyNOT1-G fused to GFPmut2 (TTPbd::GFP) from a safe harbor locus (pyp230p) (S4A Fig). Expression boundaries for this protein variant were chosen based upon the use of domain predictions along with the presence of an enriched region of asparagine residues in P. yoelii that is even more pronounced in P. falciparum, as these regions are often found between functional domains in Plasmodium proteins. We hypothesized that overexpression of TTPbd::GFP would act dominant negatively by binding and sequestering proteins that need to interact with PyNOT1-G to be effective. Expression of TTPbd::GFP was observed by western blotting of the immunoprecipitated protein versus control WT-GFP parasites (S4B Fig). Despite this, we did not observe any statistically significant defects in asexual blood stage growth or the ability of these parasites to produce exflagellating male gametes (Fig 6A and 6B). Moreover, in stark contrast to pynot1-g parasites, the TTPbd::GFP-overexpressing parasites were competent for transmission to mosquitoes (S4 Table). This indicates that overexpression of PyNOT1-G’s TTP-binding domain does not act dominant negatively, perhaps because it could be insufficient to sponge away the relevant factors and/or because this domain and its interacting partners may not be essential to PyNOT1-G’s functions in gametocytes.

Fig 6. The putative TTP-binding domain is dispensable for all essential blood stage functions of PyNOT1-G.

Fig 6

Clonal transgenic parasites overexpressing the predicted TTP-binding domain fused to GFP (TTPbd::GFP) from the safe harbor p230p genomic locus were compared to Py17XNL WT-GFP parasites for (A) asexual blood stage growth and (B) male gametogenesis. Clonal transgenic parasites expressing a variant of PyNOT1-G where the N-terminal TTPbd has been replaced with GFP were compared to Py17XNL WT-GFP parasites for (C) asexual blood stage growth and (D) male gametogenesis. A cross symbol (A, B) indicates that a single mouse infected with TTPbd::GFP Clone 2 parasites was euthanized on day 15 due to parasitemia more than 10% as required by our approved vertebrate animal protocols. Error bars indicate the standard deviation. Underlying data are provided in S1 Data. TTP, tristetraprolin.

Second, we created a transgenic parasite lacking the TTP-binding domain of PyNOT1-G by replacing those sequences with GFPmut2 (ΔTTPbd). Clonal lines were isolated and compared to Py17XNL WT-GFP parasites (S4C Fig). As with the TTPbd::GFP overexpression line, no statistically significant defect in asexual blood stage growth or in the numbers of exflagellating male gametes was detected (Fig 6C and 6D). However, statistically significant effects upon the prevalence of mosquito infection were observed (multiple unpaired t test, no assumptions regarding standard deviation, p = 0.006763 (WT versus Clone 1), p = 0.030700 (WT versus Clone 2)) but not for the number of oocysts per infected mosquito (Table 1). This indicates that the TTP-binding domain of PyNOT1-G, and by interference proteins that require it to interact with PyNOT1-G, are ultimately dispensable for PyNOT1-G’s functions in male gametocytogenesis and/or gametogenesis and female parasite development beyond the zygote stage, but yet it appears to play a significant role in host-to-vector transmission. In contrast, the remaining portions of PyNOT1-G are essential for these functions and thus may provide additional interaction points for these regulatory proteins.

Table 1. Deletion of the TTP-binding domain of PyNOT1-G is important but dispensable for parasite transmission.

WT-GFP (Py0489) ΔTTPbd Clone 1 (Py1299) ΔTTPbd Clone 2 (Py1299)
Prevalence of Infection 91.7%/77.4%/59.5% 2.9%/8.8%/24.7% 3.2%/31.8%/42.6%
Average Oocysts/Infected Mosquito 15.9/42.8/10.7 3.0/7.0/11.9 5.0/39.5/21.8

TTP, tristetraprolin.

Discussion

Here, we describe the unique duplication and adaptation of a NOT1 paralogue for the transmission requirements of malaria parasites. Due to the high degree of DNA identity and amino acid similarity/identity, these genes likely arose due to a duplication event. It is notable that the same domain organization of 2 NOT1 paralogues is also present in the closely related apicomplexans Babesia and Theileria, while this duplication is not evident in Toxoplasma or other apicomplexans that have evolved other transmission strategies (Fig 1). To our knowledge, this duplication of NOT1 is unique to the Aconoidisida class. This duplication of NOT1 has been noted in preliminary findings in P. falciparum asexual blood stage parasites presented in a recent preprint [43]. In that work, the transgenic P. falciparum parasites (and presumably the parental parasites used to generate them) could not generate gametocytes, and, thus, those studies were focused on discerning differences in their functions within the asexual blood stage. Here, we also observe effects upon asexual blood stage growth, which were extreme when pynot1 is deleted but which were more muted when pynot1-g is deleted. In contrast, here, we show that the major essential roles of PyNOT1-G are in the development of male and female gametocytes/gametes and the continuing development of the fertilized zygote in early mosquito stage.

Consistent with their domain architecture and protein interactions, we found that PyNOT1 and PyNOT1-G localize to cytosolic puncta reminiscent of regulatory mRNP granules that are observed in many eukaryotes including Plasmodium. We and others have also observed this localization for CAF1, CCR4-1, ALBA4, DOZI, and CITH, which also interact with one another in specific contexts and life cycle stages [14,19,21]. Through extensive reverse genetic attempts, we were only able to isolate a completely transgenic parasite population where py17x_1027900 (pynot1) was deleted, as the presence of any wild-type parasites would likely outcompete it rapidly. We now propose the reannotation of this gene as the canonical NOT1 as it matches the hallmarks of NOT1 from other eukaryotes, including an extremely slow growth phenotype when its gene is deleted [22]. It is interesting that pynot1 could be deleted at all given its central and essential role in the activities of the CAF1/CCR4/NOT complex in model eukaryotes. This suggests that the organizing functions provided by the PyNOT1 scaffold can presumably be achieved by subcomplexes, or by proteins that can act in a functionally redundant manner, perhaps by PyNOT1-G, although this remains to be experimentally determined.

Here, we have focused on the NOT1 paralogue that does not behave like any other eukaryotic NOT1, which we have termed PyNOT1-G due to its essential roles in Plasmodium gametocytes and gametes. The timing of a slight asexual blood stage growth defect in pynot1-g correlates with the typical onset of a wave of commitment to gametocytogenesis and thus may correlate with the 27% to 35% increase in gametocyte numbers observed (Fig 3B). Furthermore, changes in transcript abundance in asexual blood stage schizonts depleted of gametocytes indicated that several mRNAs relevant to early gametocytogenesis are preserved by PyNOT1-G quite early on, and include transcripts for male development gene 1 (mdv1), actin ii, p25, p28, gest, and several others. The ApiAP2-G specific transcription factor, which acts as a master regulator of commitment to gametocytogenesis was also dysregulated at the transcript level. However, we observed that pyapiap2-g mRNA levels were lower in both schizonts and gametocytes, which is discordant with the expectation that fewer gametocytes would form. Instead, we observed that gametocyte levels were slightly elevated (Figs 3B and 5). This would indicate that pyapiap2-g mRNA levels alone are not responsible for how extensively parasites commit to sexual development and that other factors contribute to this as well. Finally, we have intentionally used the general descriptor “preserve” when describing PyNOT1-G’s effect upon transcript abundance, as it remains to be demonstrated for any Plasmodium protein implicated in translational repression or related complexes that a stabilizing effect is produced, although we hypothesize that this would be the case.

Transcriptomics of gametocytes also reflect that males are severely affected and is consistent with their inability to complete gametogenesis to produce exflagellating gametes. Many of the transcripts that are dysregulated in schizonts are also dysregulated in gametocytes and in some cases to an even greater extent. In considering female-enriched transcripts, there is a high overlap in the specific mRNAs that are dysregulated by a deletion of pynot1-g, pyalba4, pbdozi, or pbcith (S2 Table), and a common phenotype in female parasites when pynot1-g, pbdozi, or pbcith is deleted. This indicates that this level of female-enriched transcript dysregulation is permissive to allow gametogenesis and fertilization by a competent male, but it appears to prevent further development of the zygote. This aligns with the classic model of the maternal-to-zygotic transition, where premade mRNAs are produced, stored, and translationally repressed/silenced until fertilization occurs [44].

Here, we find that PyNOT1-G primarily acts to promote male gametocytogenesis and/or gametogenesis as evidenced by the complete absence of male gametes and a transcriptomic profile that reflects severe dysregulation of male-enriched mRNAs (Fig 5). Unsurprisingly, male pynot1-g parasites are also unable to transmit to mosquitoes (Fig 4A). Moreover, the inability of female parasites to produce viable zygotes that can develop into ookinetes in vitro (Fig 4B) or oocysts in vivo (Fig 4A) matches the phenotypes previously observed for deletions of pbdozi and pbcith. Together, it is clear that PyNOT1-G acts upon both sexes and matches or exceeds the phenotypes observed previously for the deletion of genes for its key interaction partners.

Our previous work demonstrated that both PyNOT1 and PyNOT1-G are capable of binding with the PyCCR4-1 deadenylase [21]. As NOT1 acts as a scaffold onto which other factors assemble, it is anticipated that NOT1 and NOT1-G are mutually exclusive members of discrete complexes, although this remains to be formally and robustly demonstrated. What is clear is that canonical CAF1/CCR4/NOT proteins, as well as possible ELAV/HuR and TTP candidates, all associate with this complex. As the functions of NOT1 in other eukaryotes can be toggled based upon the antagonistic association of ELAVs/HuRs or TTPs, our finding that this predicted TTP-binding domain is not important for NOT1-G functions in gametocyte biology is possibly surprising. One explanation for why Plasmodium may have evolved away from the use of this toggle in this rare NOT1 paralogue could be due to its extreme AT-rich genome and resulting AU-rich transcriptome. As ELAV/HuR and TTP typically bind with AU-rich elements on target mRNAs, this strategy would not provide much regulatory specificity in Plasmodium. Thus, different or additional parameters may be employed to ensure that on-target regulation occurs. Consistent with this hypothesis, we identified other zinc finger proteins associated with this complex, including one (PY17X_0417500) with a triple C3H1 ZnF configuration with predicted roles in mRNA decay. It will therefore be interesting to determine if and how these effector proteins associate with PyNOT1-G independently of the TTP-binding domain and to determine how these proteins can regulate only selected mRNAs given how frequently AU-rich mRNA sequences can be found in Plasmodium.

In order to synthesize our current understanding of how Plasmodium blood stage proteins implicated in translational repression (or with complexes known to be translationally repressive) may interact, we have reanalyzed published datasets to propose a composite network based upon formaldehyde crosslinking IP/MS datasets for PbDOZI::GFP, PbCITH::GFP, and PyALBA4::GFP from gametocytes and PyCCR4-1::GFP from schizonts [14,19,21] (Fig 7 and S5 Table). We also attempted to provide reciprocal proteomics data using PyNOT1-G as the bait (e.g., immunoprecipitation +/− chemical crosslinking, BioID, TurboID), but because these experiments did not provide additional insights using only highly stringent statistical cutoffs, we have not included them in this model. Moreover, it is notable that the phenotypes for pynot1-g transgenic parasites are identical to those for pbdozi/pbcith (female gametocytes can activate into gametes and be fertilized but cannot develop further) and more extreme than those for pyccr4-1 or the truncation of pycaf1 (complete arrest versus partial defects in either male gametocyte development or gametogenesis). Taken together with proteomic evidence, and consistent with the general role of NOT1 in model eukaryotes and humans, we propose that PyNOT1-G has been evolved to act as a central organizing nexus for these regulatory activities for both sexes of parasites, whereas DOZI/CITH and CCR4-1/CAF1 have sex-specific roles. Additionally, preliminary results from a preprint indicate that the P. falciparum NOT1 and NOT1-G orthologues are mutually exclusive in their respective complexes [43]. This would be expected, as the classic role of NOT1 in eukaryotes is to act as a scaffold upon which effector proteins can be recruited. Moreover, if this hypothesis holds true, another possible mechanism by which PyNOT1-G could function would be to act as a decoy by sufficiently sponging effector proteins away from PyNOT1. However, because the localization and approximate expression levels of PyNOT1 and PyNOT1-G are effectively equal, a stronger interaction between PyNOT1-G and these proteins would be required. Because crosslinking was used in proteomic studies of proteins known to associate with this complex, this permits the detection of direct, short-distance, and long-distance interactions. However, future studies with proximity proteomics approaches could define the spatial and temporal parameters of this complex. Hints as to how these granules may be organized and regulated in Plasmodium are perhaps being found in work with yeast. First, a recent study indicated that members of the CCR4/NOT complex are present in processing bodies but were found at lower concentrations and were more dynamic [45]. Additionally, 2 other studies indicated that the partitioning of Dhh1, the ortholog of DOZI, is adversely affected by the association with NOT1 and positively affected by association with Pat1 [30,46]. Because no bioinformatically predictable ortholog of Pat1 is present in any Plasmodium species, identifying and understanding the regulators of granule assembly and disassembly will require further experimentation.

Fig 7. A proposed composite interaction network of NOT1-G.

Fig 7

Crosslinking IP datasets for PbDOZI and PbCITH (orange lines), PyCCR4-1 (green lines), and PyALBA4 (light blue lines) were used to propose a composite interaction network with PyNOT1-G. The placement of some proteins is based upon known direct interactions from the literature (e.g., NOT1-G, CAF1, CCR4, CAF40, NOT4, NOT2, NOT5, PABP1, CELF2, DOZI, eIF4F (eIF4E, eIF4A, eIF4G)), as are the placements of the 5′ m7G cap next to the cap-binding protein eIF4E and the poly(A) tail with PABP1. Deletion phenotypes for pynot1-g match or exceed those of pbdozi, pyccr4–1, and the pycaf1 truncation and lead to a complete arrest in male parasite development and in development of female parasites beyond the zygote stage. TTP, tristetraprolin.

Overall, we conclude that Plasmodium and closely related parasites have duplicated NOT1 to allow for the dedication of one paralogue for a gametocyte/gamete-specific role in host-to-vector transmission. However, key aspects of how PyNOT1-G toggles between its dual natures remain unanswered. As there is an overrepresentation of AU-rich sequences in the Plasmodium transcriptome, the role of ELAV/HuR and TTP RNA-binding proteins that typically bind these AU-rich sequences may be diminished. Accordingly, the TTP-binding domain that typically enables their recruitment to the CAF1/CCR4/NOT complex in model eukaryotes and human cells is dispensable for PyNOT1-G’s critical functions. Therefore, it is plausible that Plasmodium has adopted an alternate strategy by adapting the functions of canonical binding partners or through the recruitment of additional Plasmodium-specific proteins to this unique, transmission-adapted NOT1 paralogue.

Materials and methods

Ethics statement

All animal care strictly followed the Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC) guidelines and was approved by the Pennsylvania State University Institutional Animal Care and Use Committee (IACUC# PRAMS201342678). All procedures involving vertebrate animals were conducted in strict accordance with the recommendations in the Guide for Care and Use of Laboratory Animals of the National Institutes of Health with approved Office for Laboratory Animal Welfare (OLAW) assurance.

Experimental animals

Six-to-eight-week-old female Swiss Webster (SW) mice from Envigo were used for all experiments in this work. Anopheles stephensi mosquitoes were reared at 24 C and 70% humidity and were fed with 0.05% w/v PABA-supplemented 10% w/v sugar water.

Production and confirmation of Plasmodium yoelii transgenic parasites

Transgenic P. yoelii 17XNL strain parasites were produced through conventional reverse genetics approaches using 2 homology arms that are specific to the targeted gene [47,48]. Homology arms were PCR amplified from wild-type genomic DNA, were combined into a single PCR amplicon by SOE PCR, were inserted into pCR-Blunt for sequencing, and were finally inserted into a pDEF plasmid for use in P. yoelii parasites. Plasmids used for gene deletion were based upon pSL0444, which replaces the gene sequences with a GFPmut2 expression cassette, a HsDHFR expression cassette, and the plasmid backbone. Plasmids used for appending a C-terminal GFPmut2 tag to a protein were based upon pSL0442, which inserts a the coding sequence for GFPmut2 with the P. berghei DHFR 3′ UTR, a HsDHFR expression cassette, and the plasmid backbone into that genomic locus. The PyWT-GFP transgenic line (Py0489) has been described previously [14], and the PyWT-mScarlet line (Py1115) was created in an identical manner but substitutes mScarlet coding sequences for those of GFPmut2. Overexpression of the TTP-binding domain of PyNOT1-G was achieved by inserting these coding sequences (AA1-199) upstream of the GFPmut2 sequences of Py0489. The deletion of the TTP-binding domain of PyNOT1-G was achieved by substitution of these coding sequences with those of GFPmut2 in an N-terminal tag format. Primers used to create all amplicons are provided in S6 Table, and complete plasmid sequences used to create PyWT-GFP, PyWT-mScarlet, pynot1, pynot1-g, pynot1::gfp, pynot1-g::gfp, overexpressor of the TTP-binding domain, and the deletion of the TTP-binding domain are provided in S1 File.

Schizonts used for transfections were produced via ex vivo cultures and were purified by an Accudenz discontinuous gradient as previously described [49]. Purified parasites enriched in schizonts were transfected with 10 μg linearized plasmid using an Amaxa Nucleofector 2b device using either Lonza T-Cell Solution with Program U-033 or with cytomix using Program T-016. Transgenic parasites were selected by pyrimethamine drug cycling in a parental and a transfer mouse. In some cases, parasites were enriched by FACS and/or cloned by limited dilution approaches. The genotype of parasites was determined by PCR across both homology arms for the targeted genomic locus.

Production and Accudenz purification of P. yoelii schizonts and gametocytes

Schizonts that were depleted of rings, trophozoites, and gametocytes were produced through a subtractive magnetic approach. Blood was collected from mice at approximately 1% to 2% parasitemia into RPMI1640 media and was passed over a magnetic column (Miltenyi Biotec, LS Columns) to capture late trophozoites, schizonts, and gametocytes by virtue of the magnetic hemozoin present in them. In contrast, rings and early trophozoites flowed through the column and were collected into fresh media. This depletion process was repeated a total of 4 times, after which no further depletion of gametocytes in the flow through was observed. Parasites were then subjected to ex vivo culture for 12 to 14 hours until mature schizonts were visible by Giemsa-stained thin blood smears.

Gametocytes were produced by treatment of the mice at 1% parasitemia with 10 mg/L sulfadiazine (VWR, Cat# AAA12370-30) in their drinking water for 2 days before exsanguination. The blood was placed in 30 mL of prewarmed RPMI1640 with 20% v/v FBS to prevent activation of gametocytes and was purified using an Accudenz gradient as previously described [14].

Live fluorescence and IFA-based microscopy

PyNOT1 and PyNOT1-G expression in blood stages, oocyst sporozoites, salivary gland sporozoites, and liver stages was investigated by an indirect immunofluorescence assay (IFA), and expression in day 7 oocysts was observed by live fluorescence microscopy. All samples for IFA were prepared as previously described [47]. Parasites were stained with the following primary antibodies: rabbit anti-GFP (1:1,000, Invitrogen, Cat# A11122; 1:1,000, Pocono Rabbit Farm & Laboratory, Custom polyclonal antibody), rabbit anti-PyACP (1:1,000, Pocono Rabbit Farm & Laboratory, Custom polyclonal antibody), mouse anti-GFP (1:1,000, DSHB, Clone 4C9), rabbit anti-HsDDX6 that cross-reacts with DOZI (1:1,000, gift from Joe Reese, Custom PAb), mouse anti-alpha-tubulin (Clone B-5-1-2) (1:1,000, Sigma, Cat# T5168), and mouse anti-PyCSP (1:1,000, Clone 2F6 [50]). Secondary antibodies used for all stages were Alexa Fluor conjugated (AF488, AF594) and specific to rabbit or mouse (1:1,000, Invitrogen, Cat# A11001, A11005, A11008, A11012). 4′,6-diamidino-2-phenylindole (DAPI) was used to stain nucleic acids following washing away unbound secondary antibodies, and samples were covered with VectaShield anti-fade reagent (Vector Laboratories, VWR, Cat# 101098–048) and a coverslip, then sealed with nail polish before visualization. Fluorescence and DIC images were taken using a Zeiss fluorescence/phase contrast microscope (Zeiss Axioscope A1 with 8-bit AxioCam ICc1 camera) using a 40X or 100X oil objective and processed by Zen imaging software.

RNA-seq sample production, data analysis, and interpretation

RNA from P. yoelii asexual blood stage schizonts or gametocytes was prepared using the Qiagen RNeasy kit with 2 sequential DNaseI on-column digests, with quality control analysis by BioAnalyzer. Samples were used to create barcoded libraries (Illumina TruSeq Stranded mRNA Library) and were sequenced on an Illumina HiSeq 2500 to yield 100 nt long single end reads for each of 3 biological replicates per sample type. These data were mapped to the P. yoelii reference genome (P. yoelii 17X strain, plasmodb.org v50) using hisat2 (version 2.1.0) [51] specifying—rna-strandness R and—max-intronlen 5000 parameters. Coverage files were generated and the mapped data were visualized and manually inspected in Integrative Genomics Viewer (IGV) as a quality control check [52]. Reads that mapped to annotated genes (PlasmoDB.org v50) were counted using featureCounts (version 2.0.0) [53] and specified–s 2 –t exon–g gene_id parameters. The raw read counts were normalized with DESeq2 (version 1.26.0) [54], which was also used to determine the differentially expressed genes between the sample types. The TIN [40] for each gene was calculated and used to further filter out the differentially expressed genes that do not have coverage evenness across the entire length of the gene as described before [39]. Briefly, TIN was calculated from the transcriptome as built from the annotation files and pseudobam files as generated using Kallisto (version 0.46.1, parameters used: specifying—rf-stranded—single -l 150 -s 20 -b 10) [55]. The samtools depth command was used to determine read depth at each position in the transcript, and TIN was calculated as previously described [55]. Custom python scripts are provided as S3 File. For genes with multiple transcripts, the maximum of the transcript TINs was considered as the integrity value for the gene. Differentially expressed genes with FDR <0.05 were flagged for inspection if the read count is >20 in either of the conditions, but TIN is <40 in both conditions. TIN-log2-fold change was calculated, and the flagged genes were resolved and included in the differential expression set if the absolute value of TIN log2-FC is < = 1.5. For genes with read count >20 and TIN <40, transcript overlap from neighboring genes were checked using a custom python script (S3 File) and were flagged if an overlap was detected. A MakeFile describing the complete bioinformatics workflow (including all steps noted above) and other scripts used are also provided in S3 File. GO terms (cellular components, molecular functions, and biological processes) were retrieved from PlasmoDB.org (v51). GO terms for the differentially expressed transcripts were summarized using REVIGO and were plotted using CirGO, with GO terms that are single clusters labeled as null [56,57]. RNA-seq data reported here are available through the GEO depository (Accession #GSE136674). To generate a heatmap of 50 representative transcripts affected by the deletion of pynot1-g, DESeq2 normalized counts were converted to a z-score to denote value deviation from the mean. Positive values (red) and negative values (green) denote an increase or decrease in abundance in pynot1-g parasites, respectively. A PCA plot was generated with the plotPCA function available in DESeq2 package, using VST with transformed raw counts as the input. To generate MA plots, shrunken log2 fold changes were estimated using adaptive shrinkage estimator from the ashr package [58]. These were then visualized with plotMA function in DESeq2 package. Points are colored red if the adjusted p-value is less than 0.05. Data points that fall out of these limits are plotted as open triangles pointing either up or down.

Measurement of asexual growth kinetics and male gametocyte activation

Cryopreserved blood infected with either P. yoelii wild-type (Py17XNL strain) or transgenic parasites was injected intraperitoneally into SW starter mice, and parasitemia was allowed to increase to 1%. This blood was extracted via cardiac puncture and diluted in RPMI to 1,000 parasites per 100 μl. Intravenously (IV), 100 μl was injected into 3 mice for each of 3 biological replicates for each parasite line. Parasitemia was measured daily by Giemsa-stained thin blood smears, and male gametocyte activation was monitored daily by counting exflagellation centers (“centers of movement”) via wet mount of a drop of blood incubated at room temperature for 8 minutes as previously described (21).

Measurement of differences in gametocytemia by flow cytometry

Comparisons of gametocyte numbers were made using flow cytometry. Briefly, 3 experimental mice were infected with 1,000 PyWT-GFP or pynot1-g (GFP+) parasites by IV injection as described above. The parasitemia was monitored daily, and upon reaching 1% parasitemia, the mice were treated with sulfadiazine for 2 days to selectively kill asexual blood stage parasites. Blood was collected by cardiac puncture, and the fraction of GFP+ cells were counted on a Beckman Coulter Astrios Moflo EQ (Brea, CA) in tube mode using uninfected blood and P. yoelii 17XNL wild-type parasite-infected blood as negative controls. All data were analyzed by FlowJo (v10.6.1).

Mosquito transmission

SW mice were infected with P. yoelii wild-type or transgenic parasites by IP or IV injection as previously described [21]. Mice were screened daily for parasitemia and the presence of male gametocyte activation (centers of movement). On the time points indicated, the mice were anesthetized by IP injection of a ketamine/xylazine cocktail and were exposed to mosquitoes for 15 minutes with their positions adjusted every 5 minutes to allow for more even feeding. Mosquito transmission was assessed by dissection of a minimum of 50 midguts on day 7 post-blood meal, which were analyzed for the prevalence of infection and oocyst numbers by DIC and fluorescence microscopy.

Genetic crosses

WT (colorless) versus pynot1-g (GFP+) genetic cross

Blood from mice infected with either Py17XNL wild-type parasites or pynot1-g transgenic parasites was serially diluted to 5,000 infected red blood cells per 50 μl and was used to infect groups of 3 experimental mice with either 10,000 wild-type parasites, 5,000 wild-type parasites and 5,000 pynot1-g transgenic parasites, or 10,000 pynot1-g transgenic parasites in biological triplicate. Parasitemia and male gametocyte activation were monitored daily, and mice were fed to mosquitoes as above on the day indicated. Midguts were analyzed on day 7 post-blood meal on a fluorescence microscope as above, and numbers of oocysts and their fluorescence were recorded (green or colorless).

PyWT-mScarlet, PyWT-GFP, pynot1-g (GFP+)

Blood from mice infected with either Py17XNL wild-type parasites expressing mScarlet (PyWT-mScarlet, Py1115) or GFPmut2 (PyWT-GFP, Py489) or pynot1-g transgenic parasites was collected by cardiac puncture and combined for in vitro ookinete cultures as previously described [59,60]. Briefly, blood was collected on the peak day of exflagellation for Py489 and/or Py1115 (as male pynot1-g transgenic parasites do not complete gametogenesis and do not exflagellate) when the parasitemia was each of the mice was comparable. Blood from each infected mouse was added to 30 ml iRPMI (RPMI with HEPES and L- glutamine; no FBS), and infected red blood cells were enriched by an Accudenz gradient as described above. The parasitized cells were collected from the interface and resuspended in iRPMI. For genetic cross experiments, equal volumes of resuspended parasites at comparable parasitemia were either added alone or in combination with another parasite line to 10 ml in vitro ookinete media (RPMI with HEPES and L-glutamine, 20% FBS (Corning, Prod No. 35-011-CV, Lot No. 35011126), 0.05% w/v hypoxanthine, 100 μM xanthurenic acid (pH 8.2)) and were allowed to develop at room temperature for 24 hours. Parasites were assessed by live fluorescence microscopy for mScarlet and/or GFPmut2 expression as described above.

Statistical analyses

Statistical tests for RNA-seq analyses and comparisons were provided by DEseq2 [54]. The statistical test assessments of GO terms (odds ratio, p-value, Benjamini, Bonferroni) were provided by PlasmoDB.org (v51). All other statistical tests were conducted with GraphPad Prism (v9) with the specific test(s) used noted where applied.

Supporting information

S1 Fig. Genotyping PCR of PyNOT1::GFP and PyNOT1-G::GFP transgenic parasites.

Genomic DNA from transgenic parasites was compared to that of Py17XNL wild-type parasites or no template controls by genotyping PCR. A schematic of the wild-type and designed transgenic loci are provided below each gel image. Primers used are identified in S6 Table for assessing (A) PyNOT1::GFP and (B) PyNOT1-G::GFP parasites. (A) The PSU 1 kb MW ladder [61] or the NEB 1 kb+ MW ladder (B) flanks all experimental lanes. MW, molecular weight.

(PDF)

S2 Fig. PyNOT1 and PyNOT1-G have similar expression patterns throughout mosquito stage development.

The expression of PyNOT1::GFP and PyNOT1-G::GFP in mosquito stage were assessed by live fluorescence (day 7 oocysts) or by IFA (day 10 oocyst sporozoites, day 14 salivary gland sporozoites). Sporozoites were counterstained with anti-PyCSP and DAPI. Scale bar is 20 μm (oocyst) or 10 μm (sporozoites). DIC, differential interference contrast; IFA, immunofluorescence assay.

(PDF)

S3 Fig. Genotyping PCR of pynot1 and pynot1-g transgenic parasites.

Genomic DNA from (A) pynot1or (B) pynot1-g transgenic parasites was compared to that of Py17XNL wild-type parasites or no template controls by genotyping PCR. A schematic of the wild-type and designed transgenic loci are provided below each gel image. Primers used are identified in S6 Table. (A) The NEB 1 kb+ MW ladder (B) flanks all experimental lanes. MW, molecular weight.

(PDF)

S4 Fig. Genotyping PCR and western blotting of TTPbd::GFP overexpression parasites and ΔTTPbd transgenic parasites.

(A, C) Genomic DNA from transgenic parasites was compared to that of Py17XNL wild-type parasites or no template controls by genotyping PCR. A schematic of the wild-type and designed transgenic loci are provided below each gel image. (B) Western blotting of TTPbd::GFP vs Py17XNL WT-GFP parasite lysate enriched by immunoprecipitation with anti-GFP is shown (I = Input, FT = Flow Through, E = Elution). Primers used are identified in S6 Table for assessing (A) PyNOT1-G TTPbd::GFP at the p230p genomic locus and (B) PyNOT1-G::GFP parasites. (A) The PSU 1 kb MW ladder [61] or the NEB 1 kb+ MW ladder (C) flanks all experimental lanes. MW, molecular weight; TTP, tristetraprolin.

(PDF)

S1 Table. Processed RNA-seq data for gametocyte samples comparing Py17XNL wild-type parasites and pynot1-g transgenic parasites as conducted in biological triplicate.

(XLSX)

S2 Table. Overlapping genes that are similarly dysregulated in pynot1-g, pyalba4, pbdozi, and pbcith transgenic parasites.

(XLSX)

S3 Table. Processed RNA-seq data for asexual blood stage schizont samples comparing Py17XNL wild-type parasites and pynot1-g transgenic parasites as conducted in biological triplicate.

(XLSX)

S4 Table. Transmission data for Py17XNL WT-GFP parasites (Py489) and PyNOT1-G TTPbd::GFP overexpression parasites (Py1125).

(XLSX)

S5 Table. Comparisons of immunoprecipitation/mass spectrometry–based proteomic datasets for PyCCR4-1, PyALBA4, and PbDOZI/PbCITH (related to Fig 7).

(XLSX)

S6 Table. Oligonucleotides used in this study.

(XLSX)

S1 File. Complete sequences for plasmids used in this study.

(DOCX)

S2 File. Flow cytometry panels obtained during the measurement of gametocytemia of PyWT-GFP and pynot1-g transgenic parasites (related to Fig 3B).

(PDF)

S3 File. A Makefile log of complete RNA-seq bioinformatics workflow, along with all custom R and python scripts used in this work.

(ZIP)

S1 Data. The raw data for Figs 3A, 3B, 3C, 4A, 6A, 6B, 6C, and 6D, and S4 Table are provided.

(XLSX)

S1 Raw Images. The raw gel image files for gel-based data presented in this publication are provided.

(TIF)

Acknowledgments

We acknowledge Andy Waters for helpful discussions in the depletion of gametocytes from mixed blood stage parasites, and Katarzyna Modrzynska for advice on the optimization of in vitro ookinete cultures. We are grateful to Sarah Neering and Brian Dawson for assistance with flow cytometry data collection and analysis, as well as to the Penn State Genomics and Flow Cytometry Facilities operated by the Huck Institutes of the Life Sciences, University Park, Pennsylvania. We acknowledge and appreciate the critical guidance from Istvan Albert on the processing and analysis of RNA-seq datasets. Finally, we thank members of the Lindner and Llinás laboratories for critical discussions and evaluations of this manuscript.

Abbreviations

DIC

differential interference contrast

ELAV

embryonic lethal abnormal vision

FDR

false discovery rate

GO

gene ontology

IFA

immunofluorescence assay

IV

intravenous(ly

PCA

principal component analysis

SW

Swiss Webster

TIN

transcript integrity number

TTP

tristetraprolin

VST

variance-stabilizing transformation

Data Availability

RNA-seq data reported here is available through the GEO depository (Accession #GSE136674). All other relevant data are within the paper and its Supporting Information files.

Funding Statement

This work was supported by an NIAID R01AI123341 to SEL. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.World Health Organization. World Malaria Report 2020. Available from: https://www.who.int/publications/i/item/9789240015791.
  • 2.Lindner SE, Miller JL, Kappe SH. Malaria parasite pre-erythrocytic infection: preparation meets opportunity. Cell Microbiol. 2012;14(3):316–24. doi: 10.1111/j.1462-5822.2011.01734.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Sturm A, Amino R, van de Sand C, Regen T, Retzlaff S, Rennenberg A, et al. Manipulation of host hepatocytes by the malaria parasite for delivery into liver sinusoids. Science. 2006;313(5791):1287–90. doi: 10.1126/science.1129720 [DOI] [PubMed] [Google Scholar]
  • 4.Josling GA, Russell TJ, Venezia J, Orchard L, van Biljon R, Painter HJ, et al. Dissecting the role of PfAP2-G in malaria gametocytogenesis. Nat Commun. 2020;11(1):1503. doi: 10.1038/s41467-020-15026-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Kafsack BF, Rovira-Graells N, Clark TG, Bancells C, Crowley VM, Campino SG, et al. A transcriptional switch underlies commitment to sexual development in malaria parasites. Nature. 2014;507(7491):248–52. doi: 10.1038/nature12920 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Sinha A, Hughes KR, Modrzynska KK, Otto TD, Pfander C, Dickens NJ, et al. A cascade of DNA-binding proteins for sexual commitment and development in Plasmodium. Nature. 2014;507(7491):253–7. doi: 10.1038/nature12970 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Singh S, Santos JM, Orchard LM, Yamada N, van Biljon R, Painter HJ, et al. The PfAP2-G2 transcription factor is a critical regulator of gametocyte maturation. Mol Microbiol. 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Modrzynska K, Pfander C, Chappell L, Yu L, Suarez C, Dundas K, et al. A Knockout Screen of ApiAP2 Genes Reveals Networks of Interacting Transcriptional Regulators Controlling the Plasmodium Life Cycle. Cell Host Microbe. 2017;21(1):11–22. doi: 10.1016/j.chom.2016.12.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yuda M, Iwanaga S, Kaneko I, Kato T. Global transcriptional repression: An initial and essential step for Plasmodium sexual development. Proc Natl Acad Sci U S A. 2015;112(41):12824–9. doi: 10.1073/pnas.1504389112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Josling GA, Williamson KC, Llinas M. Regulation of Sexual Commitment and Gametocytogenesis in Malaria Parasites. Annu Rev Microbiol. 2018;72:501–19. doi: 10.1146/annurev-micro-090817-062712 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Rea E, Le Roch KG, Tewari R. Sex in Plasmodium falciparum: Silence Play between GDV1 and HP1. Trends Parasitol. 2018;34(6):450–2. doi: 10.1016/j.pt.2018.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Reddy BP, Shrestha S, Hart KJ, Liang X, Kemirembe K, Cui L, et al. A bioinformatic survey of RNA-binding proteins in Plasmodium. BMC Genomics. 2015;16:890. doi: 10.1186/s12864-015-2092-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Rios KT, Lindner SE. Protein-RNA interactions important for Plasmodium transmission. PLoS Pathog. 2019;15(12):e1008095. doi: 10.1371/journal.ppat.1008095 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Munoz EE, Hart KJ, Walker MP, Kennedy MF, Shipley MM, Lindner SE. ALBA4 modulates its stage-specific interactions and specific mRNA fates during Plasmodium yoelii growth and transmission. Mol Microbiol. 2017;106(2):266–84. doi: 10.1111/mmi.13762 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Shrestha S, Li X, Ning G, Miao J, Cui L. The RNA-binding protein Puf1 functions in the maintenance of gametocytes in Plasmodium falciparum. J Cell Sci. 2016;129(16):3144–52. doi: 10.1242/jcs.186908 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Guerreiro A, Deligianni E, Santos JM, Silva PA, Louis C, Pain A, et al. Genome-wide RIP-Chip analysis of translational repressor-bound mRNAs in the Plasmodium gametocyte. Genome Biol. 2014;15(11):493. doi: 10.1186/s13059-014-0493-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Miao J, Fan Q, Parker D, Li X, Li J, Cui L. Puf mediates translation repression of transmission-blocking vaccine candidates in malaria parasites. PLoS Pathog. 2013;9(4):e1003268. doi: 10.1371/journal.ppat.1003268 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Miao J, Li J, Fan Q, Li X, Li X, Cui L. The Puf-family RNA-binding protein PfPuf2 regulates sexual development and sex differentiation in the malaria parasite Plasmodium falciparum. J Cell Sci. 2010;123(Pt 7):1039–49. doi: 10.1242/jcs.059824 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Mair GR, Lasonder E, Garver LS, Franke-Fayard BM, Carret CK, Wiegant JC, et al. Universal features of post-transcriptional gene regulation are critical for Plasmodium zygote development. PLoS Pathog. 2010;6(2):e1000767. doi: 10.1371/journal.ppat.1000767 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Mair GR, Braks JA, Garver LS, Wiegant JC, Hall N, Dirks RW, et al. Regulation of sexual development of Plasmodium by translational repression. Science. 2006;313(5787):667–9. doi: 10.1126/science.1125129 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hart KJ, Oberstaller J, Walker MP, Minns AM, Kennedy MF, Padykula I, et al. Plasmodium male gametocyte development and transmission are critically regulated by the two putative deadenylases of the CAF1/CCR4/NOT complex. PLoS Pathog. 2019;15(1):e1007164. doi: 10.1371/journal.ppat.1007164 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Collart MA. The Ccr4-Not complex is a key regulator of eukaryotic gene expression. Wiley Interdiscip Rev RNA. 2016;7(4):438–54. doi: 10.1002/wrna.1332 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ukleja M, Cuellar J, Siwaszek A, Kasprzak JM, Czarnocki-Cieciura M, Bujnicki JM, et al. The architecture of the Schizosaccharomyces pombe CCR4-NOT complex. Nat Commun. 2016;7:10433. doi: 10.1038/ncomms10433 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Collart MA, Panasenko OO. The Ccr4-Not Complex: Architecture and Structural Insights. Subcell Biochem. 2017;83:349–79. doi: 10.1007/978-3-319-46503-6_13 [DOI] [PubMed] [Google Scholar]
  • 25.Radhakrishnan A, Chen YH, Martin S, Alhusaini N, Green R, Coller J. The DEAD-Box Protein Dhh1p Couples mRNA Decay and Translation by Monitoring Codon Optimality. Cell. 2016;167(1):122–32.e9. doi: 10.1016/j.cell.2016.08.053 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Parker R. RNA degradation in Saccharomyces cerevisae. Genetics. 2012;191(3):671–702. doi: 10.1534/genetics.111.137265 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Lai WS, Stumpo DJ, Wells ML, Gruzdev A, Hicks SN, Nicholson CO, et al. Importance of the Conserved Carboxyl-Terminal CNOT1 Binding Domain to Tristetraprolin Activity In Vivo. Mol Cell Biol. 2019;39(13). doi: 10.1128/MCB.00029-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Mukherjee N, Jacobs NC, Hafner M, Kennington EA, Nusbaum JD, Tuschl T, et al. Global target mRNA specification and regulation by the RNA-binding protein ZFP36. Genome Biol. 2014;15(1):R12. doi: 10.1186/gb-2014-15-1-r12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Buschauer R, Matsuo Y, Sugiyama T, Chen YH, Alhusaini N, Sweet T, et al. The Ccr4-Not complex monitors the translating ribosome for codon optimality. Science. 2020;368(6488). doi: 10.1126/science.aay6912 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Mugler CF, Hondele M, Heinrich S, Sachdev R, Vallotton P, Koek AY, et al. ATPase activity of the DEAD-box protein Dhh1 controls processing body formation. elife. 2016;5. doi: 10.7554/eLife.18746 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Balu B, Maher SP, Pance A, Chauhan C, Naumov AV, Andrews RM, et al. CCR4-associated factor 1 coordinates the expression of Plasmodium falciparum egress and invasion proteins. Eukaryot Cell. 2011;10(9):1257–63. doi: 10.1128/EC.05099-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Sayers EW, Beck J, Bolton EE, Bourexis D, Brister JR, Canese K, et al. Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 2021;49(D1):D10–D7. doi: 10.1093/nar/gkaa892 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Warrenfeltz S, Basenko EY, Crouch K, Harb OS, Kissinger JC, Roos DS, et al. EuPathDB: The Eukaryotic Pathogen Genomics Database Resource. Methods Mol Biol. 1757;2018:69–113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Koonin EV. Orthologs, paralogs, and evolutionary genomics. Annu Rev Genet. 2005;39:309–38. doi: 10.1146/annurev.genet.39.073003.114725 [DOI] [PubMed] [Google Scholar]
  • 35.Kedersha N, Stoecklin G, Ayodele M, Yacono P, Lykke-Andersen J, Fritzler MJ, et al. Stress granules and processing bodies are dynamically linked sites of mRNP remodeling. J Cell Biol. 2005;169(6):871–84. doi: 10.1083/jcb.200502088 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Zhang M, Wang C, Otto TD, Oberstaller J, Liao X, Adapa SR, et al. Uncovering the essential genes of the human malaria parasite Plasmodium falciparum by saturation mutagenesis. Science. 2018;360(6388). doi: 10.1126/science.aap7847 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Bushell E, Gomes AR, Sanderson T, Anar B, Girling G, Herd C, et al. Functional Profiling of a Plasmodium Genome Reveals an Abundance of Essential Genes. Cell. 2017;170(2):260–72.e8. doi: 10.1016/j.cell.2017.06.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Schwach F, Bushell E, Gomes AR, Anar B, Girling G, Herd C, et al. PlasmoGEM, a database supporting a community resource for large-scale experimental genetics in malaria parasites. Nucleic Acids Res. 2015;43(Database issue):D1176–82. doi: 10.1093/nar/gku1143 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Lindner SE, Swearingen KE, Shears MJ, Walker MP, Vrana EN, Hart KJ, et al. Transcriptomics and proteomics reveal two waves of translational repression during the maturation of malaria parasite sporozoites. Nat Commun. 2019;10(1):4964. doi: 10.1038/s41467-019-12936-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Wang L, Nie J, Sicotte H, Li Y, Eckel-Passow JE, Dasari S, et al. Measure transcript integrity using RNA-seq data. BMC Bioinformatics. 2016;17:58. doi: 10.1186/s12859-016-0922-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Kent RS, Modrzynska KK, Cameron R, Philip N, Billker O, Waters AP. Inducible developmental reprogramming redefines commitment to sexual development in the malaria parasite Plasmodium berghei. Nat Microbiol. 2018;3(11):1206–13. doi: 10.1038/s41564-018-0223-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Vembar SS, Macpherson CR, Sismeiro O, Coppee JY, Scherf A. The PfAlba1 RNA-binding protein is an important regulator of translational timing in Plasmodium falciparum blood stages. Genome Biol. 2015;16:212. doi: 10.1186/s13059-015-0771-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Liu Y, Rai R, Zhu L, Zhang C, Rocamora F, Featherstone M, et al. Antagonistic roles of NOT1 paralogues in the timing of gene expression in Plasmodium falciparum. bioRxiv. 2020:2020.02.12.945477. [Google Scholar]
  • 44.Schulz KN, Harrison MM. Mechanisms regulating zygotic genome activation. Nat Rev Genet. 2019;20(4):221–34. doi: 10.1038/s41576-018-0087-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Xing W, Muhlrad D, Parker R, Rosen MK. A quantitative inventory of yeast P body proteins reveals principles of composition and specificity. elife. 2020;9. doi: 10.7554/eLife.56525 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Sachdev R, Hondele M, Linsenmeier M, Vallotton P, Mugler CF, Arosio P, et al. Pat1 promotes processing body assembly by enhancing the phase separation of the DEAD-box ATPase Dhh1 and RNA. elife. 2019;8. doi: 10.7554/eLife.41415 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Bowman LM, Finger LE, Hart KJ, Lindner SE. Definition of constitutive and stage-enriched promoters in the rodent malaria parasite. Plasmodium yoelii Malar J. 2020;19(1):424. doi: 10.1186/s12936-020-03498-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Jongco AM, Ting LM, Thathy V, Mota MM, Kim K. Improved transfection and new selectable markers for the rodent malaria parasite Plasmodium yoelii. Mol Biochem Parasitol. 2006;146(2):242–50. doi: 10.1016/j.molbiopara.2006.01.001 [DOI] [PubMed] [Google Scholar]
  • 49.Lindner SE, Mikolajczak SA, Vaughan AM, Moon W, Joyce BR, Sullivan WJ Jr, et al. Perturbations of Plasmodium Puf2 expression and RNA-seq of Puf2-deficient sporozoites reveal a critical role in maintaining RNA homeostasis and parasite transmissibility. Cell Microbiol. 2013;15(7):1266–83. doi: 10.1111/cmi.12116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Lindner SE, Swearingen KE, Harupa A, Vaughan AM, Sinnis P, Moritz RL, et al. Total and putative surface proteomics of malaria parasite salivary gland sporozoites. Mol Cell Proteomics. 2013;12(5):1127–43. doi: 10.1074/mcp.M112.024505 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nat Methods. 2015;12(4):357–60. doi: 10.1038/nmeth.3317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Robinson JT, Thorvaldsdottir H, Winckler W, Guttman M, Lander ES, Getz G, et al. Integrative genomics viewer. Nat Biotechnol. 2011;29(1):24–6. doi: 10.1038/nbt.1754 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014;30(7):923–30. doi: 10.1093/bioinformatics/btt656 [DOI] [PubMed] [Google Scholar]
  • 54.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550. doi: 10.1186/s13059-014-0550-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Bray NL, Pimentel H, Melsted P, Pachter L. Near-optimal probabilistic RNA-seq quantification. Nat Biotechnol. 2016;34(5):525–7. doi: 10.1038/nbt.3519 [DOI] [PubMed] [Google Scholar]
  • 56.Kuznetsova I, Lugmayr A, Siira SJ, Rackham O, Filipovska A. CirGO: an alternative circular way of visualising gene ontology terms. BMC Bioinformatics. 2019;20(1):84. doi: 10.1186/s12859-019-2671-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Supek F, Bosnjak M, Skunca N, Smuc T. REVIGO summarizes and visualizes long lists of gene ontology terms. PLoS ONE. 2011;6(7):e21800. doi: 10.1371/journal.pone.0021800 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Stephens M. False discovery rates: a new deal. Biostatistics. 2017;18(2):275–94. doi: 10.1093/biostatistics/kxw041 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Moon RW, Taylor CJ, Bex C, Schepers R, Goulding D, Janse CJ, et al. A cyclic GMP signalling module that regulates gliding motility in a malaria parasite. PLoS Pathog. 2009;5(9):e1000599. doi: 10.1371/journal.ppat.1000599 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Janse CJ, Mons B, Rouwenhorst RJ, Van der Klooster PF, Overdulve JP, Van der Kaay HJ. In vitro formation of ookinetes and functional maturity of Plasmodium berghei gametocytes. Parasitology. 1985;91(Pt 1):19–29. doi: 10.1017/s0031182000056481 [DOI] [PubMed] [Google Scholar]
  • 61.Henrici RC, Pecen TJ, Johnston JL, Tan S. The pPSU Plasmids for Generating DNA Molecular Weight Markers. Sci Rep. 2017;7(1):2438. doi: 10.1038/s41598-017-02693-1 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Paula Jauregui, PhD

16 Aug 2021

Dear Dr. Lindner,

Thank you for submitting your manuscript entitled "The Plasmodium NOT1-G Paralogue Acts as an Essential Nexus for Sexual Stage Maturation and Parasite Transmission" for consideration as a Research Article by PLOS Biology.

Your manuscript has now been evaluated by the PLOS Biology editorial staff, as well as by an academic editor with relevant expertise, and I am writing to let you know that we would like to send your submission back to the original reviewers.

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Kind regards,

Paula

---

Paula Jauregui, PhD

Associate Editor

PLOS Biology

pjaureguionieva@plos.org

Decision Letter 1

Paula Jauregui, PhD

3 Sep 2021

Dear Dr. Lindner,

Thank you very much for submitting a revised version of your manuscript "The Plasmodium NOT1-G Paralogue Acts as an Essential Nexus for Sexual Stage Maturation and Parasite Transmission" for consideration as a Research Article at PLOS Biology. This revised version of your manuscript has been evaluated by the PLOS Biology editors, the Academic Editor and the original reviewers.

The reviewers, mainly reviewer #3, still have some issues that need to be addressed. You would need to do the bioinformatic analyses requested by the reviewer, and prove that your alpha tubulin staining pattern is unique to male gametocytes. The Academic Editor has The Academic Editor has kindly provided some guidance as to how you should address the remaining comments from reviewer #3. You can find those comments at the end of this letter.

In light of the reviews (below), we will not be able to accept the current version of the manuscript, but we would welcome re-submission of a much-revised version that takes into account the reviewers' comments. We cannot make any decision about publication until we have seen the revised manuscript and your response to the reviewers' comments. Your revised manuscript is also likely to be sent for further evaluation by the reviewers.

We expect to receive your revised manuscript within 3 months.

Please email us (plosbiology@plos.org) if you have any questions or concerns, or would like to request an extension. At this stage, your manuscript remains formally under active consideration at our journal; please notify us by email if you do not intend to submit a revision so that we may end consideration of the manuscript at PLOS Biology.

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Thank you again for your submission to our journal. We hope that our editorial process has been constructive thus far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

Paula

---

Paula Jauregui, PhD

Associate Editor

PLOS Biology

pjaureguionieva@plos.org

*****************************************************

REVIEWS:

Reviewer #2: Sebastian Baumgarten. Plasmodium RNA biology.

Reviewer #3: Molecular parasitology.

Reviewer #2: The authors have addressed all my previous comments and I am very much looking forward to seeing this work published.

Two minor comments: Please add the datapoints to the bar graph in Figure 4A and make sure that the quality of the figures is ok (which could also be the manuscript review system)

Reviewer #3: This new version has been significantly improved compared with the previous one.

I however think that:

- including discussions in the result section is a way to over interpret the results;

- the visual representation of the transcriptomic results is mainly showing the number of regulated genes but not highlighting the biology behind the dots;

- the authors over-interpret the localization of Not1-G and do not reach the limit of fluorescence microscopy, as stated in their response. At this resolution and in the absence of co-localisation, many proteins unrelated to the CAF1/CCR4/NOT complex will show a similar localization pattern. Importantly, the authors would have to demonstrate that the apparent nuclear localization of alpha-tubulin in male gametocytes is linked to non-confocal imaging. This is, at least, not the case in our hands.

COMMENTS FROM THE ACCADEMIC EDITOR:

The reviewer is not satisfied with the visual presentation of the rnaseq data. GO analysis is covered in the text and the full dataset is available in the supplementary tables but the reviewer requested a figure for the GO, something like CirGO would be very easy to make and would reduce complexity and clarify how specific to the described genes and genesets the dysregulation is, ie whether there were lots of other GO categories also dysregulated. I am a little surprised at the authors' response because the GO analysis seems to nicely support their hypotheses. I support the reviewer here as readers should be able to assess how valid the conclusions re GO enrichment were without consulting supplementary tables. I don’t think that including a simple CirGO or similar plot would overwhelm fig 5 which is currently carrying 2 essentially redundant panels that use orthologous approaches to demonstrate reproducibility of the replicates. These are the PCA plot and correlation heatmap of the replicates. The reviewer initially asked for heatmaps of expression of the genes discussed in the text, not the heatmap of the correlation between replicates provided by the authors. Although it is nice to include evidence of the reproducibility of the rnaseq. I would suggest moving the pca or the correlation heatmap to the supplement and adding the heatmap of gene expression that was requested by the reviewer as well as a visual representation of the disregulated GOs.

The RNASeq data in Fig 5 is also lacking a clear labelling of the bland altman/MA plots in fig 5 c and d, these are not labelled adequately nor explained in the legend, log fold change of what? Presumably its KD/wildtype but this needs to be explained in the legend or figure. Similarly the volcano plots in 5 e and d are not explained, again I presume its KO/wildtype but this needs to be explained in the legend or the figure.

The RNAseq is described in lines 253 – 268 but the authors describe fold change but not p values or FDR, this is provided in the supplementary tables but they should explicitly state the threshold for significance for the fold changes they describe in the text.

The reviewer is unconvinced by the fluorescence microscopy of not-1. I share their reservations about the cytoplasmic pattern being indicative of an association with caf1 and ccr4 but I agree with the authors that the staining is partially punctate. I suggest they moderate their interpretation to state that the staining pattern of not-1 is cytoplasmic and partially punctate consistent with other cytoplasmic proteins including the previously observed patterns of ccr4 and caf1. As the authors themselves note the co-IP data is what shows an interaction between not1 and the ccr4 complex components, the imaging is not very informative and doesn’t need to be over-interpreted.

It’s unclear to me whether the reviewer is concerned that the alpha tubulin staining is non-specific and therefore the parasite may not be a male gametocyte, or whether they are concerned that the quality of the fluorescence microscopy is inadequate because of the depth of field captured. The former then this is a genuine concern that should be addressed by staining more cells with anti alpha tubulin and showing that only male gametocytes are stained, preferably also staining with an additional male gam specific antibody. Failing that presumably the authors have some negative control asexual parasites they stained at the same that they could show. If it is the latter concern then I think it is a technical issue that doesn’t really affect the interpretation of the data, ie the not 1 stain is clearly outside the nucleus so the parasite has not1 outside the nucleus.

Decision Letter 2

Paula Jauregui, PhD

22 Sep 2021

Dear Dr Lindner,

I am writing on behalf of my colleague Paula Jauregui, who is currently on annual leave.

Thank you for submitting your revised Research Article entitled "The Plasmodium NOT1-G Paralogue Acts as an Essential Nexus for Sexual Stage Maturation and Parasite Transmission" for publication in PLOS Biology. We have discussed your new version and your response to reviewers with the Academic Editor, and I am pleased to tell you that we will probably accept this manuscript for publication, provided you satisfactorily address the following points:

1) Title:

We would like to recommend a title that would be more accessible to the broad readership of PLOS Biology:

"The Plasmodium NOT1-G paralogue is an essential regulator of sexual stage maturation and parasite transmission."

or

"The Plasmodium NOT1-G paralogue regulates RNAs that are essential for sexual stage maturation and parasite transmission"

2) Intentional design:

You should modify throughout the manuscript all references to intentional design. For example, in the abstract you write, “Here we show that Plasmodium parasites have taken the unique approach to duplicate the NOT1 scaffold protein of the CAF1/CCR4/Not complex in order to dedicate one paralogue for essential transmission functions.” and “Together, we conclude that Plasmodium has created and adapted a NOT1-G paralogue to fulfill the complex transmission requirements of both male and female parasites.” We suggest the following, “Here we show that in Plasmodium parasites the NOT1 scaffold protein of the CAF1/CCR4/Not complex is duplicated and one paralogue is dedicated for essential transmission functions.” and “Together, we conclude that a NOT1-G paralogue in Plasmodium fulfills the complex transmission requirements of both male and female parasites.”

3) Data:

You may be aware of the PLOS Data Policy, which requires that all data be made available without restriction: http://journals.plos.org/plosbiology/s/data-availability. For more information, please also see this editorial: http://dx.doi.org/10.1371/journal.pbio.1001797

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Please note that per journal policy, we do not allow the mention of "data not shown", "personal communication", "manuscript in preparation" or other references to data that is not publicly available or contained within this manuscript. Please either remove mention of these data or provide figures presenting the results and the data underlying the figure(s).

As you address these items, please take this last chance to review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the cover letter that accompanies your revised manuscript.

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*Published Peer Review History*

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*Early Version*

Please note that an uncorrected proof of your manuscript will be published online ahead of the final version, unless you opted out when submitting your manuscript. If, for any reason, you do not want an earlier version of your manuscript published online, uncheck the box. Should you, your institution's press office or the journal office choose to press release your paper, you will automatically be opted out of early publication. We ask that you notify us as soon as possible if you or your institution is planning to press release the article.

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Please do not hesitate to contact me should you have any questions.

Sincerely,

Gabriel Gasque on behalf of

Paula Jauregui, PhD,

Editor,

pjaureguionieva@plos.org,

PLOS Biology

Decision Letter 3

Paula Jauregui, PhD

4 Oct 2021

Dear Dr. Lindner,

On behalf of my colleagues and the Academic Editor, Michael Duffy, I am pleased to say that we can in principle offer to publish your Research Article "The Plasmodium NOT1-G paralogue is an essential regulator of sexual stage maturation and parasite transmission" in PLOS Biology, provided you address any remaining formatting and reporting issues. These will be detailed in an email that will follow this letter and that you will usually receive within 2-3 business days, during which time no action is required from you. Please note that we will not be able to formally accept your manuscript and schedule it for publication until you have made the required changes.

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PRESS

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Thank you again for choosing PLOS Biology for publication and supporting Open Access publishing. We look forward to publishing your study. 

Sincerely, 

Paula

---

Paula Jauregui, PhD 

Associate Editor 

PLOS Biology

pjaureguionieva@plos.org

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Genotyping PCR of PyNOT1::GFP and PyNOT1-G::GFP transgenic parasites.

    Genomic DNA from transgenic parasites was compared to that of Py17XNL wild-type parasites or no template controls by genotyping PCR. A schematic of the wild-type and designed transgenic loci are provided below each gel image. Primers used are identified in S6 Table for assessing (A) PyNOT1::GFP and (B) PyNOT1-G::GFP parasites. (A) The PSU 1 kb MW ladder [61] or the NEB 1 kb+ MW ladder (B) flanks all experimental lanes. MW, molecular weight.

    (PDF)

    S2 Fig. PyNOT1 and PyNOT1-G have similar expression patterns throughout mosquito stage development.

    The expression of PyNOT1::GFP and PyNOT1-G::GFP in mosquito stage were assessed by live fluorescence (day 7 oocysts) or by IFA (day 10 oocyst sporozoites, day 14 salivary gland sporozoites). Sporozoites were counterstained with anti-PyCSP and DAPI. Scale bar is 20 μm (oocyst) or 10 μm (sporozoites). DIC, differential interference contrast; IFA, immunofluorescence assay.

    (PDF)

    S3 Fig. Genotyping PCR of pynot1 and pynot1-g transgenic parasites.

    Genomic DNA from (A) pynot1or (B) pynot1-g transgenic parasites was compared to that of Py17XNL wild-type parasites or no template controls by genotyping PCR. A schematic of the wild-type and designed transgenic loci are provided below each gel image. Primers used are identified in S6 Table. (A) The NEB 1 kb+ MW ladder (B) flanks all experimental lanes. MW, molecular weight.

    (PDF)

    S4 Fig. Genotyping PCR and western blotting of TTPbd::GFP overexpression parasites and ΔTTPbd transgenic parasites.

    (A, C) Genomic DNA from transgenic parasites was compared to that of Py17XNL wild-type parasites or no template controls by genotyping PCR. A schematic of the wild-type and designed transgenic loci are provided below each gel image. (B) Western blotting of TTPbd::GFP vs Py17XNL WT-GFP parasite lysate enriched by immunoprecipitation with anti-GFP is shown (I = Input, FT = Flow Through, E = Elution). Primers used are identified in S6 Table for assessing (A) PyNOT1-G TTPbd::GFP at the p230p genomic locus and (B) PyNOT1-G::GFP parasites. (A) The PSU 1 kb MW ladder [61] or the NEB 1 kb+ MW ladder (C) flanks all experimental lanes. MW, molecular weight; TTP, tristetraprolin.

    (PDF)

    S1 Table. Processed RNA-seq data for gametocyte samples comparing Py17XNL wild-type parasites and pynot1-g transgenic parasites as conducted in biological triplicate.

    (XLSX)

    S2 Table. Overlapping genes that are similarly dysregulated in pynot1-g, pyalba4, pbdozi, and pbcith transgenic parasites.

    (XLSX)

    S3 Table. Processed RNA-seq data for asexual blood stage schizont samples comparing Py17XNL wild-type parasites and pynot1-g transgenic parasites as conducted in biological triplicate.

    (XLSX)

    S4 Table. Transmission data for Py17XNL WT-GFP parasites (Py489) and PyNOT1-G TTPbd::GFP overexpression parasites (Py1125).

    (XLSX)

    S5 Table. Comparisons of immunoprecipitation/mass spectrometry–based proteomic datasets for PyCCR4-1, PyALBA4, and PbDOZI/PbCITH (related to Fig 7).

    (XLSX)

    S6 Table. Oligonucleotides used in this study.

    (XLSX)

    S1 File. Complete sequences for plasmids used in this study.

    (DOCX)

    S2 File. Flow cytometry panels obtained during the measurement of gametocytemia of PyWT-GFP and pynot1-g transgenic parasites (related to Fig 3B).

    (PDF)

    S3 File. A Makefile log of complete RNA-seq bioinformatics workflow, along with all custom R and python scripts used in this work.

    (ZIP)

    S1 Data. The raw data for Figs 3A, 3B, 3C, 4A, 6A, 6B, 6C, and 6D, and S4 Table are provided.

    (XLSX)

    S1 Raw Images. The raw gel image files for gel-based data presented in this publication are provided.

    (TIF)

    Attachment

    Submitted filename: 117463_1_rebuttal_2134174_qwprhw.docx

    Attachment

    Submitted filename: 117463_1_rebuttal_2134174_qwprhw.docx

    Attachment

    Submitted filename: Hart et al PLOS Biology Response to Reviewers (rev2).docx

    Attachment

    Submitted filename: Hart et al PLOS Biology Response to Reviewers (rev2).docx

    Data Availability Statement

    RNA-seq data reported here is available through the GEO depository (Accession #GSE136674). All other relevant data are within the paper and its Supporting Information files.


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