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Malaria inflicts the highest rate of morbidity and mortality among the vector-borne diseases. The dramatic bottleneck of parasite numbers that occurs in the gut of the obligatory mosquito vector provides a promising target for novel control strategies. Using single-cell transcriptomics, we analyzed Plasmodium falciparum development in the mosquito gut, from unfertilized female gametes through the first 20 hours post blood feeding, including the zygote and ookinete stages. This study revealed the temporal gene expression of the ApiAP2 family of transcription factors, and of parasite stress genes in response to the harsh environment of the mosquito midgut. Further, employing structural protein prediction analyses we found several upregulated genes predicted to encode intrinsically disordered proteins (IDPs), a category of proteins known for their importance in regulation of transcription, translation and protein-protein interactions. IDPs are known for their antigenic properties and may serve as suitable targets for antibody or peptide-based transmission suppression strategies. In total, this study uncovers the P. falciparum transcriptome from early-to-late parasite development in the mosquito midgut, inside its natural vector, which provides an important resource for future malaria transmission-blocking initiatives. This repository contains original data such as raw sequencing data (fastq files), count matrices, metadata files, images parameters, GO term files, etc.isolated time points of P.falciparum single parasite from mosquito midgut experiments usingmicro-manipulation performed in this study.These folders contain input data for the R markdown script, which can be found in this GitHub repository:Github link. The filescontains all data necessary to reproduce the results of the study and raw_seq_filesis a directory for all of the fastq files and their metadata. processed_datafiles.zip have the expression matrix reads counts and metadata toreproduce the data of this study can also be found in the same GitHub repository (https://github.com/ANKARKLEVLAB/Single-cell-P.falciparum-midgut). for data interactive Visualizationplease go toScRNA-seq data Visualization Experiment design:Plasmodium falciparum NF54 gametocyte producing cell line were committed to sexual stages (gametocytes) and pooled to 1% gametocytaemia and 50% hematocrit. Gametocyte were membrane fed to Anopheles gambiae adult mosquito and dissected at time points; 2, 4, 8, 12 and 20 hours post infection, parasites were then isolated using Micro-maniupulation based on Anti-Pfs25 antibody conjugated to Alexa-488 flour and Hoechststain. cDNA library were prepared using SMART-seq2 and illumina sequenced. ScRNA-seq data were then analyzed using various computational tools, including Seurat toolkit and Slingshot for Pseudotime analyses. directories structure: Processed_datafiles.zip: metadata.txt (cell IDs + clusters + Time points + Pseudotime modules) zygote_raw_expressionmatrix.txt (columns = cell Ids , rows = gene accession number) img_data.txt ( imaging data ,The fluorescence intensity + Volume) metadata_NFFG.txt ( cell IDs + clusters + Time points including unfertilized female gametes) metadata_without_NFFG.txt (cell IDs + clusters + Pseudotime modules without unfertilized female gametes) raw seq data files and metadata batch_1.zip(RNA-seq fastq files linked to metadata_batch_1.csv) batch_2.zip(RNA-seq fastq files linked to metadata_batch_2.csv) raw_seq_metadata.zip folder RNA-seq metadata files information sheet: Sc_Pfalciparum_midgut_stages_Mohammed et al.xlsx (information about the study and experimental design)&nbsp

MicroRNAs are gene regulatory molecules that play important roles in numerous biological processes including human health. The function of a given microRNA is defined by its selection of target transcripts, yet current state-of-the-art experimental methods to identify microRNA targets are laborious and require millions of cells. We have overcome these limitations by fusing the microRNA effector protein Argonaute2 to the RNA editing domain of ADAR2, allowing for the first time the detection of microRNA targets transcriptome-wide in single cells. Our agoTRIBE method reports functional microRNA targets which are additionally supported by evolutionary sequence conservation. As a proof-of-principle, we study microRNA interactions in single cells, and find substantial differential targeting across the cell cycle. Lastly, agoTRIBE additionally provides transcriptome-wide measurements of RNA abundance and will allow the deconvolution of microRNA targeting in complex samples such as tissues at the single-cell level.

Respiratory syncytial virus (RSV) causes acute lower respiratory tract infection in infants, immunocompromised individuals and the elderly. As the only current specific treatment options for RSV are monoclonal antibodies, there is a need for efficacious antiviral treatments against RSV to be developed. We have previously shown that a group of synthetic non-coding single-stranded DNA oligonucleotides with lengths of 25–40 nucleotides can inhibit RSV infection in vitro and in vivo. Based on this, herein, we investigate whether naturally occurring single-stranded small non-coding RNA (sncRNA) fragments present in the airways have antiviral effects against RSV infection. From publicly available sequencing data, we selected sncRNA fragments such as YRNAs, tRNAs and rRNAs present in human bronchoalveolar lavage fluid (BALF) from healthy individuals. We utilized a GFP-expressing RSV to show that pre-treatment with the selected sncRNA fragments inhibited RSV infection in A549 cells in vitro. Furthermore, by using a flow cytometry-based binding assay, we demonstrate that these naturally occurring sncRNAs fragments inhibit viral infection most likely by binding to the RSV entry receptor nucleolin and thereby preventing the virus from binding to host cells, either directly or via steric hindrance. This finding highlights a new function of sncRNAs and displays the possibility of using naturally occurring sncRNAs as treatments against RSV.

Accumulating behavioural data indicate that aggregation pheromones may mediate the formation and maintenance of mosquito swarms. However, chemical cues possibly luring mosquitoes to swarms have not been adequately investigated, and the likely molecular incitants of these complex reproductive behaviours remain unknown. Here we show that males of the important malaria vector species Anopheles arabiensis and An. gambiae produce and release aggregation pheromones that attract individuals to the swarm and enhance mating success. We found that males of both species released significantly higher amounts of 3-hydroxy-2-butanone (acetoin), 6-methyl-5-hepten-2-one (sulcatone), octanal, nonanal and decanal during swarming in the laboratory. Feeding males with stable-isotope-labelled glucose revealed that the males produced these five compounds. A blend composed of synthetic analogues to these swarming odours proved highly attractive to virgin males and females of both species under laboratory conditions and substantially increased mating in five African malaria vectors (An. gambiae, An. coluzzii, An. arabiensis, An. merus and An. funestus) in semi-field experiments. Our results not only narrow a conspicuous gap in understanding a vital aspect of the chemical ecology of male mosquitoes but also demonstrate fundamental roles of rhythmic and metabolic genes in the physiology and behavioural regulation of these vectors. These identified aggregation pheromones have great potential for exploitation against these highly dangerous insects. Manipulating such pheromones could increase the efficacy of malaria-vector control programmes.

Funder: International Max Planck Research School of Organismal Biology, Funder: Universities of the State of Baden-Württemberg, Animal species differ considerably in their ability to fight off infections. Finding the genetic basis of these differences is not easy, as the immune response is comprised of a complex network of proteins that interact with one another to defend the body against infection. Here, we used population- and comparative genomics to study the evolutionary forces acting on the innate immune system in natural hosts of the avian influenza virus (AIV). For this purpose, we used a combination of hybrid capture, next- generation sequencing and published genomes to examine genetic diversity, divergence, and signatures of selection in 127 innate immune genes at a micro- and macroevolutionary time scale in 26 species of waterfowl. We show across multiple immune pathways (AIV-, toll-like-, and RIG-I -like receptors signalling pathways) that genes involved genes in pathogen detection (i.e., toll-like receptors) and direct pathogen inhibition (i.e., antimicrobial peptides and interferon-stimulated genes), as well as host proteins targeted by viral antagonist proteins (i.e., mitochondrial antiviral-signaling protein, [MAVS]) are more likely to be polymorphic, genetically divergent, and under positive selection than other innate immune genes. Our results demonstrate that selective forces vary across innate immune signaling signalling pathways in waterfowl, and we present candidate genes that may contribute to differences in susceptibility and resistance to infectious diseases in wild birds, and that may be manipulated by viruses. Our findings improve our understanding of the interplay between host genetics and pathogens, and offer the opportunity for new insights into pathogenesis and potential drug targets.

The malaria parasite Plasmodium relictum is one of the most widespread species of avian malaria. As is the case in its human counterparts, bird Plasmodium undergoes a complex life cycle infecting two hosts: the arthropod vector and the vertebrate host. In this study, we examine the transcriptome of P. relictum (SGS1) during crucial timepoints within its natural vector, Culex pipiens quinquefasciatus. Differential gene-expression analyses identified genes linked to the parasites life-stages at: i) a few minutes after the blood meal is ingested, ii) during peak oocyst production phase, iii) during peak sporozoite phase and iv) during the late-stages of the infection. A large amount of genes coding for functions linked to host-immune invasion and multifunctional genes was active throughout the infection cycle. One gene associated with a conserved Plasmodium membrane protein with unknown function was upregulated throughout the parasite development in the vector, suggesting an important role in the successful completion of the sporogonic cycle. Transcript annotation further revealed novel genes, which were significantly differentially expressed during the infection in the vector as well as upregulation of reticulocyte-binding proteins, which raises the possibility of the multifunctionality of these RBPs. We establish the existence of highly stage-specific pathways being overexpressed during the infection. This first study of gene-expression of a non-human Plasmodium species in its natural vector provides a comprehensive insight into the molecular mechanisms of the common avian malaria parasite P. relictum and provides essential information on the evolutionary diversity in gene regulation of the Plasmodium’s vector stages.

Fusion proteins, comprising peptides deriving from the translation of two parental genes, are produced in cancer by chromosomal aberrations. The expressed fusion protein incorporates domains of both parental proteins. Using a methodology that treats discrete protein domains as binding sites for specific domains of interacting proteins, we have cataloged the protein interaction networks for 11 528 cancer fusions (ChiTaRS-3.1). Here, we present our novel method, chimeric protein-protein interactions (ChiPPI) that uses the domain-domain co-occurrence scores in order to identify preserved interactors of chimeric proteins. Mapping the influence of fusion proteins on cell metabolism and pathways reveals that ChiPPI networks often lose tumor suppressor proteins and gain oncoproteins. Furthermore, fusions often induce novel connections between non-interactors skewing interaction networks and signaling pathways. We compared fusion protein PPI networks in leukemia/lymphoma, sarcoma and solid tumors finding distinct enrichment patterns for each disease type. While certain pathways are enriched in all three diseases (Wnt, Notch and TGF β), there are distinct patterns for leukemia (EGFR signaling, DNA replication and CCKR signaling), for sarcoma (p53 pathway and CCKR signaling) and solid tumors (FGFR and EGFR signaling). Thus, the ChiPPI method represents a comprehensive tool for studying the anomaly of skewed cellular networks produced by fusion proteins in cancer. This work is funded by the Project Retos BFU2015- 71241-R of the Spanish Ministry of Economy, Industry and Competitiveness (MEIC), co-funded by European Re-gional Development Fund (ERDF) and by the ProjectPT13/0001/0030, Instituto de Salud Carlos III (ISCIII),Strategic Action in Health, co-funded by European Re-gional Development Fund (ERDF). The work of MFM issupported by the Israel Cancer Association (ICA) fund, the work of ST is supported by the VaTaT Postdoctoral Fel-lowship for excellent students [22351, 20027, 26912]. AV issupported by the Joint BSC-CRG-IRB Programme in Com- Downloaded from https://academic.oup.com/nar/article-abstract/45/12/7094/3854948 by Spanish National Cancer Research Center user on 04 February 2019 putational Biology. Funding for open access charge: ICA[e-cancer-diagnosis].Conflict of interest statement.None declared. Sí