Co-infection of Aspergillus ochraceopetaliformis strain RCEF7483 by a novel chrysovirus and a known partitivirus.

An airborne microflora isolate, Aspergillus ochraceopetaliformis RCEF7483, was found to harbor seven dsRNA elements, indicating co-infection with a novel chrysovirus and a known partitivirus. Sequence analysis and RT-PCR confirmed dsRNA5-7 as components of Aspergillus ochraceous virus (AOV), a member of the Partitiviridae family. In light of its distinct host, we have designated it Aspergillus ochraceopetaliformis partitivirus 1 (AoPV1). The dsRNA segments, named dsRNA1-4, with lengths of 3706 bp, 3410 bp, 3190 bp, and 3158 bp, respectively, constitute the genome of a novel chrysovirus designated Aspergillus ochraceopetaliformis chrysovirus 1 (AoCV1). The dsRNA1-4 segments contain five open-reading frames (ORF1-5). Specifically, ORF1 encodes a putative RNA-dependent RNA polymerase (RdRp) with a length of 1112 amino acids, and ORF2 encodes a putative coat protein (CP) spanning 976 amino acids. Additionally, ORF3-5 encode hypothetical proteins (HP1, HP2, and HP3) with lengths of 108, 843, and 914 amino acids, respectively. Comparative analysis revealed the highest similarity of dsRNA1-4 with corresponding proteins in Aspergillus terreus chrysovirus 1 (AtCV1) (RdRp, 66.58%; CP, 51.02%; HP2, 61.80%; and HP3, 41.30%). Due to falling below the threshold for a new species in the Chrysoviridae, we propose that dsRNA1-4 in A. ochraceopetaliformis strain RCEF7483 constitute the novel chrysovirus AoCV1. Moreover, phylogenetic analysis using RdRp amino acid sequences placed AoCV1 within the Alphachrysovirus genus of the Chrysoviridae family, clustering with AtCV1 and other alphachrysoviruses. Our study contributes to the understanding of mycoviruses in A. ochraceopetaliformis and expands our knowledge of the diversity and evolution of chrysoviruses in fungal hosts.

Two complete 1918 influenza A/H1N1 pandemic virus genomes characterized by next-generation sequencing using RNA isolated from formalin-fixed, paraffin-embedded autopsy lung tissue samples along with evidence of secondary bacterial co-infection.

The 1918 influenza pandemic was the most devastating respiratory pandemic in modern human history, with 50-100 million deaths worldwide. Here, we characterized the complete genomes of influenza A virus (IAV) from two fatal cases during the fall wave of 1918 influenza A (H1N1) pandemic in the United States, one from Walter Reed Army Hospital in Washington, DC, and the other from Camp Jackson, SC. The two complete IAV genomes were obtained by combining Illumina deep sequencing data from both total RNA and influenza viral genome-enriched libraries along with Sanger sequencing data from PCR across the sequencing gaps. This study confirms the previously reported 1918 IAV genomes and increases the total number of available complete or near-complete influenza viral genomes of the 1918 pandemic from four to six. Sequence comparisons among them confirm that the genomes of the 1918 pandemic virus were highly conserved during the main wave of the pandemic with geographic separation in North America and Europe. Metagenomic analyses revealed bacterial co-infections in both cases. Interestingly, in the Washington, DC, case, evidence is presented of the first reported Rhodococcus-influenza virus co-infection. IMPORTANCE: This study applied modern molecular biotechnology and high-throughput sequencing to formalin-fixed, paraffin-embedded autopsy lung samples from two fatal cases during the fall wave of the 1918 influenza A (H1N1) pandemic in the United States. Complete influenza genomes were obtained from both cases, which increases the total number of available complete or near-complete influenza genomes of the 1918 pandemic virus from four to six. Sequence analysis confirms that the 1918 pandemic virus was highly conserved during the main wave of the pandemic with geographic separation in North America and Europe. Metagenomic analyses revealed bacterial co-infections in both cases, including the first reported evidence of Rhodococcus-influenza co-infection. Overall, this study offers a detailed view at the molecular level of the very limited samples from the most devastating influenza pandemic in modern human history.

Virome Data Explorer: A web resource to longitudinally explore respiratory viral infections, their interactions with other pathogens and host transcriptomic changes in over 100 people.

Viral respiratory infections are an important public health concern due to their prevalence, transmissibility, and potential to cause serious disease. Disease severity is the product of several factors beyond the presence of the infectious agent, including specific host immune responses, host genetic makeup, and bacterial coinfections. To understand these interactions within natural infections, we designed a longitudinal cohort study actively surveilling respiratory viruses over the course of 19 months (2016 to 2018) in a diverse cohort in New York City. We integrated the molecular characterization of 800+ nasopharyngeal samples with clinical data from 104 participants. Transcriptomic data enabled the identification of respiratory pathogens in nasopharyngeal samples, the characterization of markers of immune response, the identification of signatures associated with symptom severity, individual viruses, and bacterial coinfections. Specific results include a rapid restoration of baseline conditions after infection, significant transcriptomic differences between symptomatic and asymptomatic infections, and qualitatively similar responses across different viruses. We created an interactive computational resource (Virome Data Explorer) to facilitate access to the data and visualization of analytical results.

Transcriptome and small RNAome profiling uncovers how a recombinant begomovirus evades RDRγ-mediated silencing of viral genes and outcompetes its parental virus in mixed infection.

Tomato yellow leaf curl virus (TYLCV, genus Begomovirus, family Geminiviridae) causes severe disease of cultivated tomatoes. Geminiviruses replicate circular single-stranded genomic DNA via rolling-circle and recombination-dependent mechanisms, frequently generating recombinants in mixed infections. Circular double-stranded intermediates of replication also serve as templates for Pol II bidirectional transcription. IS76, a recombinant derivative of TYLCV with a short sequence in the bidirectional promoter/origin-of-replication region acquired from a related begomovirus, outcompetes TYLCV in mixed infection and breaks disease resistance in tomato Ty-1 cultivars. Ty-1 encodes a γ-clade RNA-dependent RNA polymerase (RDRγ) implicated in Dicer-like (DCL)-mediated biogenesis of small interfering (si)RNAs directing gene silencing. Here, we profiled transcriptome and small RNAome of Ty-1 resistant and control susceptible plants infected with TYLCV, IS76 or their combination at early and late infection stages. We found that RDRγ boosts production rates of 21, 22 and 24 nt siRNAs from entire genomes of both viruses and modulates DCL activities in favour of 22 and 24 nt siRNAs. Compared to parental TYLCV, IS76 undergoes faster transition to the infection stage favouring rightward transcription of silencing suppressor and coat protein genes, thereby evading RDRγ activity and facilitating its DNA accumulation in both single and mixed infections. In coinfected Ty-1 plants, IS76 efficiently competes for host replication and transcription machineries, thereby impairing TYLCV replication and transcription and forcing its elimination associated with further increased siRNA production. RDRγ is constitutively overexpressed in Ty-1 plants, which correlates with begomovirus resistance, while siRNA-generating DCLs (DCL2b/d, DCL3, DCL4) and genes implicated in siRNA amplification (α-clade RDR1) and function (Argonaute2) are upregulated to similar levels in TYLCV- and IS76-infected susceptible plants. Collectively, IS76 recombination facilitates replication and promotes expression of silencing suppressor and coat proteins, which allows the recombinant virus to evade the negative impact of RDRγ-boosted production of viral siRNAs directing transcriptional and posttranscriptional silencing.

Effects of RNA silencing during antagonism between citrus exocortis viroid and citrus bark cracking viroid in Etrog citron (Citrus medica).

Citrus exocortis viroid (CEVd) and citrus bark cracking viroid (CBCVd) are two important viroids that infect citrus plants and frequently occur as mixed infections in orchards. However, the mechanism of antagonism between the two viroids in mixed infections remains unclear. The CEVd/CBCVd-citron system and small RNA sequencing (sRNA-seq) were used to study the antagonism. When CBCVd was inoculated before CEVd, the CEVd titre was significantly reduced and the symptoms were attenuated. Viroid-derived sRNAs (vd-sRNAs) from CEVd and CBCVd were predominantly 21-nucleotide (nt) and 22-nt in length and had similar 5' base biases. Homologous sequences of the two viroids in the terminal right (TR) region are rich in vd-sRNAs, and the high frequency vd-sRNAs selected from the CBCVd TR region can be used to degrade the transcripts of CEVd in vivo directly. These results suggest that RNA silencing may play an important role in the antagonism of the two viroids, thus deepening our understanding of the molecular interaction of long noncoding RNAs in woody plants.

Assessment of co-infection with BNYVV and BSCTV on resistance against Rhizomania disease in transgenic sugar beet plants.

Sugar beet is an economically important crop and one of the major sources of sucrose around the world. Beet necrotic yellow vein virus (BNYVV) and Beet severe curly top virus (BSCTV) are two widespread viruses in sugar beet that cause severe damage to its performance. Previously, we have successfully produced resistance to BNYVV based on RNA silencing in sugar beet by introducing constructs carrying the viral coat-protein-encoding DNA sequence, CP21, in sense and anti-sense orientations. Yet, the RNA silencing-mediated resistance to a specific virus could be affected by other ones as a part of synergistic interactions. In this study, we assayed the specificity of the induced resistance against BNYVV in two sets of transgenic events, S3 and S6 carrying 5'-UTR with or without CP21-coding sequences, respectively. These events were subjected to viral challenges with either BNYVV, an Iranian isolate of BSCTV (BSCTV-Ir) or both. All the plants inoculated with just BSCTV-Ir displayed curly-leaf symptoms. However, partial resistance was evident in S3 events as shown by mild symptoms and reduced PCR amplification of the BSCTV-Ir coat protein encoding sequence. Based on the presented data, resistance to BNYVV was stable in almost all the transgenic plants co-infected with BSCTV-Ir, except for one event, S3-229. In general, it seems that the co-infection does not affect the resistance to BNYVV in transgenic plants. These findings demonstrated that the introduced RNA silencing-mediated resistance against BNYVV in transgenic sugar beets is specific and is not suppressed after co-infection with a heterologous virus.

Severity of Schistosoma haematobium co-infection with malaria in school-children is potentially modulated by host CD14 gene variants.

OBJECTIVE: Schistosomiasis remains a chronic disease of global importance, especially in many rural areas of the world where co-infection with Plasmodium falciparum is common. It is critical to decipher the role of single or co-infected disease scenarios on immune system regulation in such individuals and how such co-infections can either ameliorate or complicate immune response and the consequent disease outcome. First, 10 ml of urine samples, collected between 10:00 am and 2:00 pm, was filtered for diagnosis of schistosomiasis, while egg count, indicative of disease severity, was determined by microscopy. Furthermore, genomic DNA samples extracted from dried blood spots collected on filter paper from one hundred and forty-four Schistosoma haematobium-infected school-children was tested for P. falciparum parasite positivity by an allele-specific nested-PCR analysis of merozoite surface protein (msp)-1 and -2 genes and a real-time PCR assay. In addition, among P. falciparum parasite-positive individuals, we carried out a Taqman SNP genotyping assay to extrapolate the effect of host CD14 (-159 C/T; rs2569190) genetic variants on schistosome egg count. RESULTS: Of the 144 individuals recruited, P. falciparum parasite positivity with msp-1 gene were 34%, 43% and 55% for MAD20, RO33 and K1 alleles respectively. Of the co-infected individuals, CD14 genetic variants ranged from 18.8% vs 21.5%, 33.3% vs 44.4%, 9.7% vs 11.8% for single versus schistosome co-infection for the wild type (CC), heterozygous (CT) and mutant (TT) variants respectively. Though the mean egg count for co-infected individuals with CD14 wild type (33.7 eggs per 10 ml of urine) and heterozygote variants (37.5 eggs per 10 ml of urine) were lower than that of schistosome infection alone (52.48 and 48.08 eggs/10 ml of urine respectively), it lacked statistical significance (p-value 0.12 and 0.29), possibly reflecting the benefit of the CD14 activation in schistosome plus malaria co-infection and not schistosome infection alone. In addition, the lower mean egg count in co-infected individuals reveal the benefit of downstream Th1 immune response mitigated by CD14 innate activation that is absent in schistosome infection alone.

MicroRNA signature from extracellular vesicles of HCV/HIV co-infected individuals differs from HCV mono-infected.

Hepatitis C virus (HCV) coinfection with human immunodeficiency virus (HIV) has a detrimental impact on disease progression. Increasing evidence points to extracellular vesicles (EVs) as important players of the host-viral cross-talk. The microRNAs (miRNAs), as essential components of EVs cargo, are key regulators of normal cellular processes and also promote viral replication, viral pathogenesis, and disease progression. We aimed to characterize the plasma-derived EVs miRNA signature of chronic HCV infected and HIV coinfected patients to unravel the molecular mechanisms of coinfection. EVs were purified and characterized from 50 plasma samples (21 HCV mono- and 29 HCV/HIV co-infected). EV-derived small RNAs were isolated and analyzed by massive sequencing. Known and de novo miRNAs were identified with miRDeep2. Significant differentially expressed (SDE) miRNA identification was performed with generalized linear models and their putative dysregulated biological pathways were evaluated. Study groups were similar for most clinical and epidemiological characteristics. No differences were observed in EVs size or concentration between groups. Therefore, HCV/HIV co-infection condition did not affect the concentration or size of EVs but produced a disturbance in plasma-derived EVs miRNA cargo. Thus, a total of 149 miRNAs were identified (143 known and 6 de novo) leading to 37 SDE miRNAs of which 15 were upregulated and 22 downregulated in HCV/HIV co-infected patients. SDE miRNAs regulate genes involved in inflammation, fibrosis, and cancer, modulating different biological pathways related to HCV and HIV pathogenesis. These findings may help to develop new generation biomarkers and treatment strategies, in addition to elucidate the mechanisms underlying virus-host interaction. KEY MESSAGES: HCV and HCV/HIV displayed similar plasma-EV size and concentration. EVs- derived miRNA profile was characterized by NGS. 37 SDE miRNAs between HCV and HCV/HIV were observed. SDE miRNAs regulate genes involved in inflammation, fibrosis and cancer.

Evaluation of an inducible knockout system in insect cells based on co-infection and CRISPR/Cas9.

Due to comparably high product titers and low production costs, the baculovirus/insect cell expression system is considered a versatile production platform in the biopharmaceutical industry. Its excellence in producing complex multimeric protein assemblies, including virus-like particles (VLPs), which are considered promising vaccine candidates to counter emerging viral threats, made the system even more attractive. However, the co-formation of budded baculovirus during VLP production poses a severe challenge to downstream processing. In order to reduce the amount of budded baculovirus in the expression supernatant we developed an inducible knockout system based on CRISPR/Cas9 and co-infection with two baculoviral vectors: one bringing along the Cas9 nuclease and the other one having incorporated the sequence for sgRNA expression. With our set-up high titer viruses can be generated separately, as only when both viruses infect cells simultaneously a knockout can occur. When budding essential genes gp64 and vp80 were targeted for knockout, we measured a reduction in baculovirus titer by over 90%. However, as a consequence, we also determined lower overall eYFP fluorescence intensity showing reduced recombinant protein production, indicating that further improvements in engineering as well as purification are required in order to ultimately minimize costs and timeframes for vaccine production utilizing the baculovirus/insect cell expression system.

Mixed infections with new emerging viruses associated with jujube mosaic disease.

BACKGROUND: Jujube is an economically important fruit tree and native to China. Viral disease is a new threat to jujube production, and several new viruses have been identified infecting jujube plants. During our field survey, jujube mosaic disease was widely distributed in Beijing, but the associated causal agents are still unknown. METHODS: Small RNA deep sequencing was conducted to identify the candidate viruses associated with jujube mosaic. Further complete genome sequences of the viruses were cloned, and the genomic characterization of each virus was analyzed. The field distribution of these viruses was further explored with PCR/RT-PCR detection of field samples. RESULTS: Mixed infection of four viruses was identified in a plant sample with the symptom of mosaic and leaf twisting, including the previously reported jujube yellow mottle-associated virus (JYMaV), persimmon ampelovirus (PAmpV), a new badnavirus tentatively named jujube-associated badnavirus (JaBV), and a new secovirus tentatively named jujube-associated secovirus (JaSV). PAmpV-jujube was 14,093 nt in length with seven putative open reading frames (ORFs) and shared highest (79.4%) nucleotide (nt) sequence identity with PAmpV PBs3. Recombination analysis showed that PAmpV-jujube was a recombinant originating from plum bark necrosis stem pitting-associated virus isolates nanjing (KC590347) and bark (EF546442). JaBV was 6449 bp in length with conserved genomic organization typical of badnaviruses. The conserved RT and RNAse H region shared highest 67.6% nt sequence identity with jujube mosaic-associated virus, which was below the 80% nt sequence identity value used as the species demarcation threshold in Badnavirus. The genome of JaSV composed of two RNA molecules of 5878 and 3337 nts in length, excluding the polyA tails. Each genome segment contained one large ORF that shared homology and phylogenetic identity with members of the family Secoviridae. Field survey showed JYMaV and JaBV were widely distributed in jujube trees in Beijing. CONCLUSION: Two new viruses were identified from jujube plants, and mixed infections of JYMaV and JaBV were common in jujube in Beijing.

Genetic complementation fosters evolvability in complex fitness landscapes.

The ability of natural selection to optimize traits depends on the topology of the genotype-fitness map (fitness landscape). Epistatic interactions produce rugged fitness landscapes, where adaptation is constrained by the presence of low-fitness intermediates. Here, we used simulations to explore how evolvability in rugged fitness landscapes is influenced by genetic complementation, a process whereby different sequence variants mutually compensate for their deleterious mutations. We designed our model inspired by viral populations, in which genetic variants are known to interact frequently through coinfection. Our simulations indicate that genetic complementation enables a more efficient exploration of rugged fitness landscapes. Although this benefit may be undermined by genetic parasites, its overall effect on evolvability remains positive in populations that exhibit strong relatedness between interacting sequences. Similar processes could operate in contexts other than viral coinfection, such as in the evolution of ploidy.

PBMCs gene expression signature of advanced cirrhosis with high risk for clinically significant portal hypertension in HIV/HCV coinfected patients: A cross-control study.

BACKGROUND: Patients with advanced cirrhosis are at high risk of developing clinically significant portal hypertension (CSPH). We analyzed the gene expression profile of peripheral blood mononuclear cells (PBMCs) from HIV/HCV coinfected patients to identify a gene expression signature of advanced cirrhosis with high risk for CSPH. METHODS: We conducted a cross-sectional study on 68 patients. Liver stiffness measurement (LSM) was used to stratify patients into < 12.5 kPa (no cirrhosis, n = 19), 12.5 - 24.9 kPa (cirrhosis, n = 20), and ≥ 25 kPa (advanced cirrhosis with high risk for CSPH, n = 29). Besides, we further evaluated LSM < 25 kPa (n = 39) vs. ≥ 25 kPa (n = 29). Total RNA was extracted from PBMCs, and poly(A) RNA sequencing was performed. Two significant differentially expressed (SDE) transcripts were validated by quantitative PCR in a different cohort (n = 46). RESULTS: We found 60 SDE transcripts between patients with LSM < 12.5 kPa and ≥ 25 kPa. Partial least squares discriminant analysis showed that those 60 SDE transcripts collectively discriminated LSM ≥ 25 kPa, with an area under the receiver operating characteristic curve (AUROC) of 0.84. Eight genes had an AUROC ≥ 0.75 for LSM ≥ 25 kPa: five were positively associated with LSM values (SCAMP1, ABHD17B, GPR146, GTF2A1, and TMEM64), while three were inversely associated (ZFHX2-AS1, MDK, and STAG3L2). We validated the two SDE transcripts with the highest discrimination capacity in a different cohort, finding significant differences between < 25 kPa and ≥ 25 kPa (MDK (p = 0.006) and STAG3L2 (p = 0.021)). CONCLUSIONS: A gene expression signature of 60 transcripts was associated with advanced cirrhosis with high risk for CSPH in HIV/HCV coinfected patients.

Mixed Infection of Blackcurrant with a Novel Cytorhabdovirus and Black Currant-Associated Nucleorhabdovirus.

A virome screen was performed on a new breeding line, KB1, of blackcurrant. Rhabdovirus-like particles were observed by electron microscopy in ultrathin sections of flower stalks, and the complete genome sequence of a novel virus, provisionally named blackcurrant rhabdovirus 2 (BCRV2), was determined and verified using high-throughput sequencing. The genomic organization of BCRV2 was characteristic of cytorhabdoviruses (family Rhabdoviridae) and included seven genes: 3 ́- N-P´-P-P3-M-G-L -5 ́. BLASTP analysis revealed that the putative L protein had the highest amino acid sequence identity (75 %) with strawberry virus 2. BCRV2 was detected in Cryptomyzusgaleopsidis, but efficient transmission by this aphid was not confirmed. Of note, we observed coinfection of the KB1 line with blackcurrant-associated rhabdovirus (BCaRV) by RT-PCR. This is likely the first evidence of the presence of a cyto- and a nucleorhabdovirus in a single host.

Essential Fitness Repertoire of Staphylococcus aureus during Co-infection with Acinetobacter baumannii In Vivo.

Staphylococcus aureus represents a major human pathogen that is frequently involved in polymicrobial infections. However, the prevalence and role of co-infectious microbes on the pathogenesis and fitness essentiality of S. aureus in vivo remain largely unknown. In this study, we firstly performed a retrospective surveillance of 760 clinical samples and revealed a notable predominance of co-infection with S. aureus and Acinetobacter baumannii. The high-density S. aureus transposon mutant library coupled to transposon insertion sequencing (Tn-Seq) further identified a core set of genes enriched in metabolism of inorganic ions, amino acids, and carbohydrates, which are essential for infection and tissue colonization of S. aureus in the murine systemic infection model. Notably, we revealed a differential requirement of fitness factors for S. aureus in tissue-specific (liver and kidney) and infection-type-specific manner (mono- and co-infection). Co-infection with A. baumannii dramatically altered the fitness requirements of S. aureus in vivo; 49% of the mono-infection fitness genes in S. aureus strain Newman were converted to non-essential, and the functionality of ATP-binding cassette (ABC) transporters was significantly elicited during co-infection. Furthermore, the number of genes essential during co-infection (503) outnumbers the genes essential during mono-infection (362). In addition, the roles of 3 infection-type-specific genes in S. aureus during mono-infection or co-infection with A. baumannii were validated with competitive experiments in vivo. Our data indicated a high incidence and clinical relevance of S. aureus and A. baumannii co-infection, and provided novel insights into establishing antimicrobial regimens to control co-infections. IMPORTANCE Polymicrobial infections are widespread in clinical settings, which potentially correlate with increased infection severity and poor clinical outcomes. Staphylococcus aureus is a formidable human pathogen that causes a variety of diseases in polymicrobial nature. Co-infection and interaction of S. aureus have been described with limited pathogens, mainly including Pseudomonas aeruginosa, Candida albicans, and influenza A virus. Thus far, the prevalence and role of co-infectious microbes on the pathogenesis and fitness essentiality of S. aureus in vivo remain largely unknown. Understanding the polymicrobial composition and interaction, from a community and genome-wide perspective, is thus crucial to shed light on S. aureus pathogenesis strategy. Here, our findings demonstrated, for the first time, that a high incidence rate and clinical relevance of co-infection was caused by S. aureus and Acinetobacter baumannii, illustrating the importance of polymicrobial nature in investigating S. aureus pathogenesis. The infection-type-specific genes likely serve as potential therapeutic targets to control S. aureus infections, either in mono- or co-infection situation, providing novel insights into the development of antimicrobial regimens to control co-infections.

Metagenomic pipeline for identifying co-infections among distinct SARS-CoV-2 variants of concern: study cases from Alpha to Omicron.

Concomitant infection or co-infection with distinct SARS-CoV-2 genotypes has been reported as part of the epidemiological surveillance of the COVID-19 pandemic. In the context of the spread of more transmissible variants during 2021, co-infections are not only important due to the possible changes in the clinical outcome, but also the chance to generate new genotypes by recombination. However, a few approaches have developed bioinformatic pipelines to identify co-infections. Here we present a metagenomic pipeline based on the inference of multiple fragments similar to amplicon sequence variant (ASV-like) from sequencing data and a custom SARS-CoV-2 database to identify the concomitant presence of divergent SARS-CoV-2 genomes, i.e., variants of concern (VOCs). This approach was compared to another strategy based on whole-genome (metagenome) assembly. Using single or pairs of sequencing data of COVID-19 cases with distinct SARS-CoV-2 VOCs, each approach was used to predict the VOC classes (Alpha, Beta, Gamma, Delta, Omicron or non-VOC and their combinations). The performance of each pipeline was assessed using the ground-truth or expected VOC classes. Subsequently, the ASV-like pipeline was used to analyze 1021 cases of COVID-19 from Costa Rica to investigate the possible occurrence of co-infections. After the implementation of the two approaches, an accuracy of 96.2% was revealed for the ASV-like inference approach, which contrasts with the misclassification found (accuracy 46.2%) for the whole-genome assembly strategy. The custom SARS-CoV-2 database used for the ASV-like analysis can be updated according to the appearance of new VOCs to track co-infections with eventual new genotypes. In addition, the application of the ASV-like approach to all the 1021 sequenced samples from Costa Rica in the period October 12th-December 21th 2021 found that none corresponded to co-infections with VOCs. In conclusion, we developed a metagenomic pipeline based on ASV-like inference for the identification of co-infection with distinct SARS-CoV-2 VOCs, in which an outstanding accuracy was achieved. Due to the epidemiological, clinical, and molecular relevance of the concomitant infection with distinct genotypes, this work represents another piece in the process of the surveillance of the COVID-19 pandemic in Costa Rica and worldwide.

Low transcriptomic of PTPRCv1 and CD3E is an independent predictor of mortality in HIV and tuberculosis co-infected patient.

A comprehensive assessment of immunological profiles during HIV-TB co-infection is essential to predict mortality, and facilitate the development of effective diagnostic assays, therapeutic agents, and vaccines. Expression levels of 105 immune-related genes were measured at enrolment and 6th month follow-up from 9 deceased HIV and TB coinfected patients who died between 3 and 7th months follow-up and at enrolment, 6th and 18th month from 18 survived matched controls groups for 2 years. Focused gene expression profiling was assessed from peripheral whole blood using a dual-color Reverse-Transcription Multiplex Ligation-dependent Probe Amplification assay. Eleven of the 105 selected genes were differentially expressed between deceased individuals and survivor-matched controls at baseline. At baseline, IL4δ2 was significantly more highly expressed in the deceased group than survivor matched controls, whereas CD3E, IL7R, PTPRCv1, CCL4, GNLY, BCL2, CCL5, NOD1, TLR3, and NLRP13 had significantly lower expression levels in the deceased group compared to survivor matched controls. At baseline, a non-parametric receiver operator characteristic curve was conducted to determine the prediction of mortality of single genes identified CCL5, PTPRCv1, CD3E, and IL7R with Area under the Curve of 0.86, 0.86, 0.86, and 0.85 respectively. The expression of these genes in the survived control was increased at the end of TB treatment from that at baseline, while decreased in the deceased group. The expression of PTPRCv1, CD3E, CCL5, and IL7R host genes in peripheral blood of patients with TB-HIV coinfected can potentially be used as a predictor of mortality in the Ethiopian setting. Anti-TB treatment might be less likely to restore gene expression in the level expression of the deceased group. Therefore, other new therapeutics that can restore these genes (PTPRCv1, CD3E, IL7R, and CCL5) in the deceased groups at baseline might be needed to save lives.

Analysis of host-pathogen gene association networks reveals patient-specific response to streptococcal and polymicrobial necrotising soft tissue infections.

BACKGROUND: Necrotising soft tissue infections (NSTIs) are rapidly progressing bacterial infections usually caused by either several pathogens in unison (polymicrobial infections) or Streptococcus pyogenes (mono-microbial infection). These infections are rare and are associated with high mortality rates. However, the underlying pathogenic mechanisms in this heterogeneous group remain elusive. METHODS: In this study, we built interactomes at both the population and individual levels consisting of host-pathogen interactions inferred from dual RNA-Seq gene transcriptomic profiles of the biopsies from NSTI patients. RESULTS: NSTI type-specific responses in the host were uncovered. The S. pyogenes mono-microbial subnetwork was enriched with host genes annotated with involved in cytokine production and regulation of response to stress. The polymicrobial network consisted of several significant associations between different species (S. pyogenes, Porphyromonas asaccharolytica and Escherichia coli) and host genes. The host genes associated with S. pyogenes in this subnetwork were characterised by cellular response to cytokines. We further found several virulence factors including hyaluronan synthase, Sic1, Isp, SagF, SagG, ScfAB-operon, Fba and genes upstream and downstream of EndoS along with bacterial housekeeping genes interacting with the human stress and immune response in various subnetworks between host and pathogen. CONCLUSIONS: At the population level, we found aetiology-dependent responses showing the potential modes of entry and immune evasion strategies employed by S. pyogenes, congruent with general cellular processes such as differentiation and proliferation. After stratifying the patients based on the subject-specific networks to study the patient-specific response, we observed different patient groups with different collagens, cytoskeleton and actin monomers in association with virulence factors, immunogenic proteins and housekeeping genes which we utilised to postulate differing modes of entry and immune evasion for different bacteria in relationship to the patients' phenotype.

RNAi-mediated down-regulation of fasciclin-like proteins (FoFLPs) in Fusarium oxysporum f. sp. lycopersici results in reduced pathogenicity and virulence.

Fusarium oxysporum f. sp. lycopersici (Fol) is majorly responsible for causing vascular wilt disease in tomato by blocking transpirational pull, thereby interfering and suppressing overall host immune response. This is mainly achieved by fungal invasion and colonization within the host, resulting in hyphal formation that instigates secondary infection response inside the plant. Earlier reports show the role of fasciclin-like proteins (FLPs) in cell-to-cell adhesions and signaling cascade. Moreover, deletion mutant of FLPs explained its role in development stages of Magnaporthe oryzae and Lentula edodes. Therefore, in present study, based on bioinformatic analysis, we have identified putative FoFLP genes encoding Fusarium-specific fasciclin like proteins. We have exploited the RNAi technology to analyse and understand role of these FoFLPs in virulence during wilt disease in tomato. Interestingly, the morphogenesis of fungal RNAi transformants of FoFLP1, FoFLP3, FoFLP4 and FoFLP5 showed significant reduction in spore count and spore germination frequency, thereby suggesting role of FoFLPs in conidiation. Furthermore, we have detected FoFLP1, FoFLP3, FoFLP4 and FoFLP5 specific siRNAs in the respective fungal transformants, using stem-loop RT-PCR and northern hybridization suggesting targeting of cognate FoFLPs transcripts. Moreover, the fruit invasion and plant infection assays using FoFLP fungal transformants showed late onset of disease with significant reduction in disease symptoms in the infected plants. Although the FoFLP-RNAi fungal transformants entered the host plant by penetrating root cortex, the infected plants showed minimum fungal colonization as a result of siRNA-mediated targeting of endogenously expressed FoFLPs. This further inhibited the propagation of fungal RNAi transformants within root cortex and affected its ability to cause secondary infection response, which led to reduced disease incidence and disease severity index. Altogether, our results show that FoFLPs might play an important role in conidiation and pathogenicity, and can serve as potent RNAi targets. Therefore, Host-Induced Gene Silencing (HIGS) can effectively be used to target FoFLPs in order to raise tomato transgenics resistant to Fusarium wilt.

Complete Genome Characterization of Reticuloendotheliosis Virus Detected in Chickens with Multiple Viral Coinfections.

Reticuloendotheliosis virus (REV) is a retroviral pathogen capable of infecting several avian hosts and is associated with immunosuppression, anemia, proventriculitis, neoplasia, and runting-stunting syndrome. Its genome contains the three major genes, gag, pol, and env, and two flanking long terminal repeat (LTR) regions. Complete genome sequences of REV are limited in terms of geographical origin. The aim of this study was to characterize the complete genome of REV detected in Brazilian chickens with multiple viral coinfections and analyze the polymorphisms in the deduced amino acids sequences corresponding to its encoded proteins. We tested the presence and completeness of REV as well as other viral pathogens in samples from Brazilian poultry farms by qPCR. The complete genomes of two REV strains were sequenced by overlapping fragments through the dideoxy method. Phylogenetic analysis, pairwise identity matrix, polymorphism identification and protein modeling were performed along the entire genome. We detected REV in 65% (26/40) of the tested samples. Concomitant viral infections were detected in 82.5% (33/40) of the samples and in 90% (9/10) of the farms. Multiple infections included up to seven viruses. Phylogenetic analysis classified both Brazilian strains into REV subtype 3, and the pairwise comparison indicated that strains from the USA and fowlpox virus (FWPV)-related strains were the most identical. The subdomain p18 in gag, the reverse transcriptase/ribonuclease H in pol, and the surface (SU) in the env protein were the most polymorphic in genomic comparisons. The relevant motifs for each protein were highly conserved, with fewer polymorphisms in the fusion peptide, immunosuppression domain, and disulfide bonds on the surface (SU) and transmembrane (TM) of env. This is the first study to include complete genomes of REV in Brazil and South America detected in farms with multiple viral coinfections. Our findings suggest an involvement of REV as an immunosuppressor and active agent in the emergence and progression of multiple infectious diseases. We also found a possible etiological relationship between Brazilian strains and the USA and FWPV recombinant strains. This information highlights the need for epidemiological vigilance regarding REV in association with another pathogens.

Comparative analysis of HBV basic core promoter/pre-core gene mutations and viral quasispecies diversity in HIV/HBV co-infected and HBV mono-infected patients.

Human immunodeficiency virus (HIV)/hepatitis B virus (HBV) co-infection accelerates the progression of HBV-related liver diseases. HBV basic core promoter (BCP)/pre-core (preC) gene mutations may be one of the most important risk factors. In this study, a total of 230 patients were recruited, and 199 patients whose HBV BCP/preC gene were successfully amplified and sequenced, including 99 HIV/HBV co-infected and 100 HBV mono-infected patients. Next-generation sequencing was used for detection of BCP/preC mutations which were then compared in patients with different HBV genotypes and different HBeAg statuses, and 1% and 20% cutoff values were defined to evaluate the mutations. HBV quasispecies diversity was also compared in HIV/HBV co-infected and HBV mono-infected patients. Among the patients infected with HBV genotype C and HBeAg-negative status, the frequency of A1762T/G1764A double mutations was significantly lower in HIV/HBV co-infected patients than in HBV mono-infected patients (53.3% vs. 100.0%, P = 0.008) regardless of the 1% or 20% cutoff value level. However, A1762T/G1764A double mutations did not differ in the other groups (P >0.05). Viral quasispecies diversity was lower in HIV/HBV co-infected patients than in HBV mono-infected patients (P Keywords: human immunodeficiency virus, hepatitis B virus; mutations; viral quasispecies; next-generation sequencing.