Identifying viral infections through metagenomic Next Generation Sequencing of undiagnosed respiratory fevers in Madagascar (2014-2019)

Identifying viral infections through metagenomic Next Generation Sequencing of undiagnosed respiratory fevers in Madagascar (2014-2019) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Identifying viral infections through metagenomic Next Generation Sequencing of undiagnosed respiratory fevers in Madagascar (2014-2019) Sophie Lockwood, Hafaliana Christian Ranaivoson, Tsiry Hasina Randriambolamanantsoa, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9086867/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Respiratory illness contributes to substantial global morbidity and mortality. In Madagascar, an island nation off the southeastern coast of the African continent, hospital-based public health surveillance for respiratory pathogens screens for common respiratory viruses. However, many cases remain undiagnosed. Methods We conducted metagenomic Next Generation Sequencing (mNGS) to identify the pathogen profile of 102 undiagnosed febrile patients who presented to public hospitals with respiratory symptoms and screened negative on a 14-virus multiplex RT-qPCR. We analyzed the diversity of the respiratory microbiome of each patient from mNGS data and identified viral infections potentially linked to undiagnosed fever. We assembled whole genome consensus sequences of viruses with sufficient read depth and coverage, characterized each phylogenetically, and identified any discrepancies with the primers used in the multiplex RT-qPCR panel. Finally, we compared all whole genome sequences against publicly available global databases in a phylogenetic analysis. Results We identified evidence of infection by a wide range of known human viruses in approximately two thirds (64.7%) of study participants from nine different families of viruses and generated 30 complete or nearly complete consensus sequences of known respiratory viruses including orthopneumoviruses, metapneumoviruses, rhinoviruses, coronaviruses, parainfluenza virus, and bocaparvovirus. mNGS-attributed evidence of infection was predominantly due to orthopneumovirus (also called respiratory syncytial virus [RSV]; n = 24) and enterovirus (n = 20) detections, despite previous negative RT-qPCR results for these and other common respiratory viruses for most patients investigated. Finally, phylogenetic analysis identified two distinct phylogenetic clusters of RSV subtype A, suggesting local transmission following distinct international introductions for this virus. Conclusion mNGS provides a sensitive pan-pathogenic tool for virus detection. We demonstrate the diversity of viruses driving respiratory fevers in Madagascar, emphasize the importance and relevance of the existing respiratory surveillance in the country, and highlight the interconnectedness of regional respiratory infection dynamics with global networks of respiratory pathogen transmission. Infectious Diseases respiratory viruses mNGS public health surveillance Figures Figure 1 Figure 2 Figure 3 Figure 4 BACKGROUND Respiratory illness is responsible for substantial global morbidity and mortality. A leading cause of death due to infectious disease, respiratory infections result in the highest burden in lower- and middle-income countries and among children under age five 1 – 3 . Viruses frequently cause acute respiratory infections, although bacterial and parasitic infections can also result in respiratory symptoms 2 , 4 . Madagascar, an island nation of nearly 30 million people off the southeastern coast of the African continent, experiences a high burden of respiratory disease 5 , resulting from a high diversity of pathogens 6 . In Madagascar, viral infections contribute to approximately one fifth of hospital visits for non-specific febrile disease 6 and more than half of hospital visits for respiratory symptoms in both urban 7 and rural 8 settings. Madagascar is a relatively closed island population with temperate to tropical climates where respiratory virus dynamics likely reflect both local circulation and repeated introductions from outside sources. Respiratory pathogen surveillance in Madagascar has permitted the identification of temporal 7 , climatic 9 and geographic 10 patterns of acute respiratory viral infections. Interestingly, the seasonal patterns observed in influenza and parainfluenza transmission in Madagascar are asynchronous with global patterns, even those of countries connected by relatively frequent travel 11 , 12 . Further, Madagascar hosts unique viruses relative to global trends, with distinct circulating strains of influenza virus in comparison to outside strains used to determine annual vaccine recommendations 13 . Madagascar’s unusual geographic position and infection seasonality underscore the importance of investigating patterns in respiratory illness in the country. The Ministry of Health of Madagascar, in collaboration with the Institut Pasteur de Madagascar (IPM), established a nationwide sentinel syndromic surveillance system for febrile illness in 2007, expanding coverage from surveillance that had previously only been conducted in the capital, Antananarivo 14 . The system included screening for influenza-like illnesses via nasopharyngeal sampling and provided a useful tool for monitoring abnormal febrile illness and tracking respiratory pathogen outbreaks (e.g. the influenza A/(H1N1)pdm09 and SARS-CoV-2 viruses) 15 . Select hospitals in the country screen patients reporting with respiratory symptoms and fever for influenzaviruses, respiratory syncytial virus (RSV), and, since 2020, SARS-CoV-2 by testing nasopharyngeal swabs with real-time quantitative polymerase chain reaction (RT-qPCR). During outbreak investigations, patients are screened for a larger suite of common pathogens with a 14-virus multiplex RT-qPCR panel that includes strains of parainfluenza viruses, coronaviruses, rhinoviruses, influenza viruses, adenoviruses, and bocaviruses 7 . However, 25% of patients reporting to Malagasy health centers with influenza-like illness between 2008 and 2009 7 and 80% of symptomatic SARS-CoV-2 negative patients in hospitals and communities between 2020 and 2022 16 remained undiagnosed after RT-qPCR screening for these 14 viruses. Metagenomic Next Generation Sequencing (mNGS) enables identification of pathogens of unknown origin, by sequencing all nucleic acid in a single sample, allowing for de novo genome assembly of both novel and previously described microbes of viral, bacterial, fungal, or eukaryotic origin that may be associated with febrile illness. As an unbiased method, mNGS is an effective surveillance tool for non-specific conditions such as febrile disease with respiratory symptoms. The utility of mNGS in identifying etiologic agents of disease has been previously demonstrated in studies of febrile illness in low-resource settings in Cambodia 17 and Uganda 18 , 19 , to investigate the etiology of undiagnosed dengue-like symptoms in Nicaragua 20 , and to provide diagnosis of fever of unknown cause in travelers to the United Kingdom 21 and the Netherlands 22 . As a tool, mNGS has led to the identification of novel human viruses 23 – 25 , including those of zoonotic origin. Molecular epidemiology played a critical role in the COVID-19 pandemic, and led to a global expansion of sequencing capacity, although regional disparities in sequence reporting persist 26 . In low and middle income countries (LMICs), mNGS platforms for pathogen surveillance offer unique benefits and face additional hurdles 26 , 27 . A pan-pathogenic detection tool, mNGS is useful when samples are limited in quantity and has the potential to enhance biological surveillance in regions where cross-species transmission risk is high. However, establishing the laboratory and bioinformatics pipeline necessary to carry out mNGS is an ongoing challenge as it requires advanced training, costly equipment and reagents, and reliable cold-chain, electricity, and internet infrastructure. Here, we report on five years of sampling with subsequent mNGS sequencing and analysis of undiagnosed febrile patients reporting with respiratory symptoms to public hospitals in Madagascar. We find evidence of viral infection in over nearly two thirds of cases and generate consensus genomes of respiratory viruses known to circulate in Madagascar, including human metapneumoviruses, rhinoviruses, seasonal coronaviruses, and orthopneumoviruses (RSV). We report factors associated with viral detection, contextualize the identified viruses, and assess primer compatibility between the RT-qPCR surveillance panel and the sequences. Finally, we conduct phylogeographic analyses to estimate the number of introductions of RSV subtype A, the only pathogen detected in this study with sufficient frequency to support a broader analysis. METHODS Study population and sample collection. Patients reporting to public hospitals in Madagascar with fever between 2014 and 2019 were screened according to syndromic surveillance guidelines. Nasopharyngeal swabs were collected from febrile patients with cough and were transported to the IPM laboratory in Antananarivo where they underwent RNA extraction and screening by real-time RT-PCR for 14 routine human respiratory viruses: human parainfluenzaviruses 1, 2, and 3, human coronaviruses OC43, 229E, HKU1, and NL63, human rhinovirus (HRV), influenzaviruses A and B, human metapneumovirus, RSV, human adenovirus, and human bocavirus (see Table S1 for details). Nasopharyngeal samples analyzed in this study screened negative on this pathogen panel and later underwent mNGS. Eleven nasopharyngeal swabs from individuals who screened positive for RSV, HRV, and influenzavirus were included as positive controls, and several healthy individuals provided nasopharyngeal samples for negative controls. mNGS sample processing, sequencing, and bioinformatics. Following sample collection, RNA extraction was conducted using the Zymo Quick DNA/RNA Microprep Plus Kit (Zymo Research, Irvine, CA) according to the manufacturer’s instructions and including the reaction for DNAse digestion. mNGS library preparation was completed using the NEBNext Ultra RNA II Library Prep Kit (New England BioLabs, Beverly, MA, USA) also per manufacturer instructions. Libraries were pooled and assessed for quality with electrophoresis (High-Sensitivity DNA Kit and Agilent Bioanalyzer; Agilent Technologies, Santa Clara, CA, USA) and small-scale sequencing (2 x 146 bp) on an Illumina iSeq machine (Illumina, San Diego, CA, USA) to permit equimolar pooling of individual libraries that proceeded to large-scale paired end mNGS (2 x 146 bp) on an Illumina NextSeq sequencing machine (Illumina, San Diego, CA, USA). Using the Chan Zuckerburg Infectious Disease (CZID) bioinformatics pipeline 28 , raw sequence reads were progressively filtered for host reads, read quality, and duplicates (see Figure S1 ). De novo genome construction was conducted on the resulting filtered non-host reads and microbial taxa were identified based on BLAST nucleotide and protein comparison to NCBI databases 29 . Where possible, consensus genomes were generated using the CZID pipeline. Complete and nearly complete consensus sequences were added to GenBank (accession numbers: PX467117-PX467146) and raw data was uploaded to the NCBI Sequence Read Archive (SRA) under BioProject number PRJNA1328692. mNGS analysis . We sought to identify potential etiologies of febrile disease. We followed previous methods 17 to consider identified viruses to be significant infections potentially causative of febrile disease if reads generated from mNGS produced a matched alignment of at least 50 base pairs in length, with a depth of at least 10 reads per million, and an e-value of 1e-10 or lower. We further required that reads mapping to target taxa generated a z-score of at least 1 following comparison with the background microbiome from two healthy human controls. Both e-values and z-scores were generated using the CZID pipeline 28 . Simple statistics. We analyzed patient demographic characteristics and compared characteristics between samples with and without evidence of viral infection using Chi squared and Fisher’s exact tests for categorical variables and the Wilcoxon rank-sum test for differences in age. We conducted simple linear regression to evaluate association between the number of patients with and without evidence of viral infection sampled in each month during the study interval. All analyses were conducted using R version 4.4.1. Microbial diversity. We assessed microbial diversity for each sample by calculating Shannon diversity indices for each sample in R version 4.4.1 using the Vegan package ( https://vegandevs.github.io/vegan/ ). We compared samples with and without evidence of viral infection as well as to samples from two healthy controls. Differences in the mean Shannon diversity indices between groups were evaluated by ANOVA. Analysis of primer match. To identify compatibility between sequences assembled from Malagasy patients to the primer set included in the 14-pathogen surveillance screening, we downloaded all primer sequences (described in previously published work 7 ). We aligned consensus genomes from this study with these primer sequences using GeneiousPrime and calculated percent pairwise identity and number of divergent base pairs between the primer set and each consensus genome corresponding to a pathogen included in the surveillance panel. Sequence analysis. We first conducted manual BLASTn comparison of each consensus genome with the NCBI database. Then, we conducted two main phylogenetic analyses: 1) full-genome maximum likelihood phylogenies for the family or genus of the viruses for which consensus genomes were obtained and 2) characterization of potential sources of introduction of RSV subtype A lineages, the only pathogen identified in our data with sufficient frequency for such an approach. In the first phylogenetic analysis, for each of the assembled consensus genomes, we combined our sequences with all reference sequences available in NCBI Virus corresponding to the same viral family, sub-family or genus of the target sequences of interest. As such, we combined our two Madagascar Coronaviridae sequences with 74 reference sequences (Taxid: 11118) and the reference sequence for porcine torovirus (accession number: NC_022787.1) as an outgroup. We combined the sole Madagascar Parvovirinae sequence with 48 reference sequences (Taxid: 40119) and the reference sequence for Danaus plexippus iteravirus (accession number: NC_023842.1) as an outgroup. To make the Paramyxoviridae dataset, we combined the unique Madagascar sequence with 92 reference sequences (Taxid: 11158) and included the reference sequence for Sun Coast virus (accession number: NC_025345.1) as an outgroup. We combined 15 Madagascar Pneumoviridae sequences with 11 reference sequences (Taxid: 11244) and the Sun Coast virus (accession number: NC_025345.1) as an outgroup. We finally combined 11 Madagascar Enterovirus sequences with 31 reference sequences (Taxid: 12059) and the reference sequence for porcine sapelovirus (accession number NC_003987.1) as an outgroup. Accession numbers for all reference sequences included in all phylogenies are listed in Table S2 . Sequences from each of these datasets were aligned using default parameters in the online software MAFFT v7.511 30 and visually verified in AliView 31 . Alignments were tested for the best fit nucleotide substitution model using ModelTest-NG 32 . Phylogenetic trees were inferred by maximum likelihood using the best-fitting model from ModelTest-NG, in all cases a general time reversible model with gamma distributed rates and invariant sites (GTR + I+G4), in RAxML 33 . To contextualize RSV subtype A lineages in Madagascar with concurrently circulating global strains, we generated a comprehensive sequence dataset by compiling all the RSV-A consensus genomes obtained from this study with all publicly available complete and near-complete RSV-A genomes with available collection location and date corresponding to anytime during or before the same sampling interval (2014–2019) from NCBI Virus and GISAID 34 databases. The reference sequence of RSV subtype B (accession number NC_001781.1) was included as an outgroup. We then subsampled the dataset to a maximum four sequences per country per month during the interval of interest using a Nextstrain pipeline 35 . Model selection and phylogenetic tree reconstruction were both conducted using IQ-TREE 2.0.7 36 . All tree visualizations were conducted using ggtree 37 in R version 4.4.1. RESULTS Clinical, demographic, and geographic characteristics. We analyzed 102 nasopharyngeal swabs collected from febrile patients in Antananarivo and Mahajanga provinces across Madagascar between 2014 and 2019 (Table 1 ), 11 of which were previously diagnosed samples by RT-qPCR included as positive controls. Two samples were collected from healthy controls in 2019. Febrile patients ranged in age from infants to adults but skewed towards pediatric patients (median age: 2 years, IQR: 0–29.75 years). The median patient age was younger among individuals with evidence of viral infection (with viral infection: 1, IQR: 0–5.8 years; without viral infection: 31 years, IQR: 4.5–55.8 years, Wilcoxon rank-sum, p < 0.001), a pattern that held when the analysis was repeated excluding RSV infections (Wilcoxon rank-sum, p < 0.001). Both males and females were included in the sample (63% male), and sex did not differ between virus-infected and uninfected patients (χ 2 , p = 1). Most patients providing nasopharyngeal swabs presented to hospitals in Antananarivo, the central province that includes the capital city; only one sample was provided from Mahajanga province (Fig. 1 ). Microbes detected by mNGS. A range of bacteria, eukaryotes, and viruses were identified in the nasopharyngeal swabs (Fig. 2 ). Although healthy controls had the highest average Shannon diversity index relative to both febrile samples with and without evidence of viral infection, and the mean Shannon diversity index was lowest among samples with evidence of viral infection, differences between groups were not significant (ANOVA, p = 0.06). Viruses detected by mNGS. Evidence of infection with known pathogenic viruses was identified in 66 (64.7%) nasopharyngeal samples, including from nine viral families (Table 2 ). Evidence of multiple virus coinfection was found in 16 (24%) samples. Most viral coinfections (n = 12) included two viruses, three samples had coinfections with three viruses, and one sample had evidence of infection with five viruses (bocaparvovirus, mastadenovirus, betapolyomavirus, cytomegalovirus, and alphacoronavirus) (see Table S3 for further details). Table 2 Viruses identified by mNGS in nasopharyngeal samples that meet the threshold for evidence of viral infection. Samples were collected in public hospitals across Madagascar between 2014 and 2019, screened negative on multiplex RT-qPCR, and underwent sequencing. Virus Species Family Number of Samples* Number of Whole Genomes Betapolyomavirus Polyomaviridae 1 - Bocaparvovirus Parvoviridae 2 1 Coronavirus Betacoronavirus Alphacoronavirus Coronaviridae 6 5 1 2 2 - Cytomegalovirus Orthoherpesviridae 8 - Enterovirus Rhinovirus A Rhinovirus B Rhinovirus C Other enteroviruses Picornaviridae 20 5 1 5 9 10 4 1 5 - Influenza virus Alphainfluenzavirus Betainfluenzavirus Orthomyxoviridae 3 2 1 - Mastadenovirus Adenoviridae 12 - Metapneumovirus Pneumoviridae 8 3 Orthopneumovirus Pneumoviridae 24 12 Parainfluenza virus Human Parainfluenzavirus 4 Human Parainfluenzavirus 1 Paramyxoviridae 2 1 1 1 1 - Rotavirus Reoviridae 1 - Simplexvirus Orthoherpesviridae 1 - * Does not sum to n = 66 samples with evidence of viral infection because 16 individuals were co-infected Eleven positive controls were included in this analysis, comprising two patients with influenza A(H3N2) virus detection by RT-qPCR, eight patients diagnosed with RSV, and one with RSV-HRV coinfection. Concordance between mNGS and RT-qPCR methods was high (9/11 samples, 81.8%). Among the two positive controls initially diagnosed with A(H3N2) virus, mNGS identified evidence of alphainfluenzavirus infection in only one. Among the 8 positive controls initially diagnosed with RSV, mNGS identified evidence of RSV infection in all cases. In the RSV-HRV coinfected positive control, mNGS identified evidence of RSV but not HRV infection. Thirty consensus genomes were obtained from 29 of 66 samples with evidence of viral infection; consensus genomes corresponded to 12 (40%) orthopneumoviruses (respiratory syncytial virus, RSV), 11 (36.7%) rhinoviruses (HRV), 3 (10%) metapneumoviruses (HMPV), 2 (6.7%) betacoronaviruses, and 1 (3.3%) each of bocavirus (HBoV) and parainfluenza virus (HPIV). Within each virus family, consensus genomes represented a broad virus diversity, including both RSV subtypes A and B; HRV species A, B, and C; human betacoronavirus species HKU1 and OC43; and HMPV subtypes 1 and 2 (Fig. 3 a-e). All these viruses except HPIV-4 were included in the 14-pathogen surveillance panel, although primer match varied among the sequences ( Figure S2 ; virus-specific mismatches described in the following section). We describe the identified viruses in further detail: Pneumoviridae. Multiple known human pathogens are members of the family Pneumoviridae , such as human metapneumovirus (HMPV) and human orthopneumovirus (RSV), both of which were included in the RT-qPCR surveillance panel. Between 2015 and 2017, 8 human metapneumovirus infections were identified by mNGS in Madagascar, yielding three whole genome HMPV sequences, two HMPV strain A and one HMPV strain B. BLAST comparison identified that HMPV-A sequences were closest to sequences circulating in China and Australia in the early 2010s and the HMPV-B sequence most resembled sequences circulating in Europe and east Asia in the same period. Although human metapneumovirus was included in the surveillance panel, both HMPV-A sequences had two nucleotide mismatches to the primer set ( Figure S2 ). Twenty-four RSV infections were identified in the mNGS data, twelve of which resulted in whole genome consensus sequences, including ten of subtype A and two of subtype B. No complete RSV sequence had perfect compatibility with the primer set used in RT-qPCR screening, with mismatches of at least one nucleotide per sequence ( Figure S2 ). Phylogenetic analysis of the RSV-A sequences indicated two distinct clusters of cases, collected in March 2015 (n = 5) and 2019 (n = 4) (Fig. 4 b). The 2015 sequences clustered with a previously published sequence from Madagascar collected in early 2016, and, at a more basal node, with sequences collected in Europe (Fig. 4 c). The 2019 sequences were related most closely to sequences circulating in Australia and the Americas between 2017 and 2019 (Fig. 4 d). One 2015 Madagascar sequence identified in this study did not cluster with any other Madagascar sequences, but rather with sequences recovered from Morocco and Australia in subsequent years (2016, 2019) (Fig. 4 e). Picornaviridae . The family Picornaviridae includes enteroviruses, many of which are known to cause human infection with a range of symptoms. Human rhinovirus was the only enterovirus included in the multiplex PCR and one positive control was initially diagnosed with an HRV-RSV coinfection. However, the HRV infection diagnosed by RT-qPCR was not detected by mNGS. Between 2014 and 2019, eleven rhinovirus infections were identified in the mNGS data, comprising five HRV-A sequences, five HRV-C sequences, and one HRV-B sequence. Primer matching was low for the HRV-B sequence, with 5 nucleotide differences, and ranged more widely for HRV-A (between 0 and 6 mismatches) and HRV-C (3 nucleotide discrepancies) ( Figure S4 ). HRV sequences do not appear to be closely related; among HRV-A, the Madagascar sequences were most closely related to strains A51, 21, 54, 94, and 101 while HRV-C sequences resembled types 3, 22, 24, and 27. Additionally, although no consensus genome was obtained, evidence of infection with enterovirus C99 and with coxsackie virus A was identified in one patient each (see Table S3 ). Coronaviridae. The family Coronaviridae comprises many known human pathogens, including seasonal human coronaviruses as well as zoonotic coronaviruses with pandemic potential (e.g. SARS-CoV, MERS-CoV, SARS-CoV-2). Evidence of infection with both betacoronaviruses, including HCoV-OC43 and HCoV-HKU1, and the alphacoronavirus HCoV-NL63 was identified in six patients, yielding two consensus genomes of HCoV-OC43 (see Table S3 ). All human coronaviruses known to date were included in the surveillance panel. PCR primers perfectly aligned with one of the HCoV-OC43 full genomes identified (accession: PX467129) and mismatched by one nucleotide with the other (accession: PX467121) ( Figure S2 ). Parvovirinae. Parvovirinae includes known pathogens human bocaviruses 1, 2, 3, and 4. By mNGS, one human bocaparvovirus was identified in Madagascar from 2015. Although human bocavirus was included in the RT-qPCR screening, it was only detected by mNGS and there were no mismatches between the primers and the sequence. Paramyxoviridae. The viral family Paramyxoviridae also encompasses many known human pathogens, including measles virus, mumps, and human parainfluenza viruses. Of the four types of HPIV, only types HPIV-1, HPIV-2, and HPIV-3 were included in the multiplex RT-qPCR screening. Despite its inclusion in the surveillance panel, HPIV-1 was not detected in a PCR-negative sample from 2017, but was identified by mNGS, although a full genome sequence was not obtained. One full-genome human parainfluenza virus 4 was identified from a sample collected in 2016; this type of HPIV was not included in the surveillance panel. By BLAST comparison, the HPIV-4 sequence was most similar to viruses from South America and Europe sampled between 2013 and 2016. Polyomaviridae. Evidence of infection with human polyomavirus 4 (betapolyomavirus) was identified in one patient whose samples contained multiple co-detected viruses. This virus, first described in 2007 among hospitalized patients with pneumonia in Australia 38 , has not previously been reported in Madagascar. Orthoherpesviridae. Orthoherpesviridae is a family of DNA viruses capable of latent infection and subsequent reactivation, causing a wide range of diseases. No virus of this family was included in the multiplex RT-qPCR; however, two different viruses were detected by mNGS. One sample showed evidence of infection with herpes simplexvirus 1 (HSV-1) and eight samples with cytomegalovirus, although full genome coverage was not achieved for any of these viruses. The HSV-1 infection and all cases of cytomegalovirus were detected alongside at least one other virus. Reoviridae. No Reoviridae , a viral family that includes many common causes of enteric and respiratory disease, were included in the surveillance screening. Using mNGS, a rotavirus was detected in one sample that also had evidence of infection with orthopneumovirus and mastadenovirus. Adenoviridae. Human adenovirus was included in the multiplex RT-qPCR screening but not identified by PCR in any samples assayed. Nonetheless, using mNGS, we identified evidence of infection with mastadenovirus in twelve patients but were unable to obtain a full genome. DISCUSSION We identified several viral pathogens potentially causing respiratory febrile illness in Madagascar that were not diagnosed at the time of initial hospital visit. All viruses for which we obtained consensus genomes were known human pathogens and most viruses identified in this study had been previously detected in Madagascar, including RSV 9 , 39 , 40 , and influenza virus 6 , 7 , 40 , both of which are responsible for high burdens of respiratory disease and hospitalization in children under five. Additionally, metapneumovirus 16 , 41 , bocaparvovirus 7 , 41 , seasonal coronaviruses 7 , parainfluenza virus 7 , 8 , adenoviruses 42 , rotavirus 42 , and rhinovirus 6 and other enteroviruses, including enterovirus C99 43 have all been identified in Madagascar during the last several decades. We present, to our knowledge, the first evidence of infection with human polyomavirus 4 in Madagascar. Despite prior documentation of their circulation in the country, neither cytomegalovirus, EV-C99 nor HPIV-4 were included in the 14-pathogen surveillance panel used for original screening. Rotavirus, which more frequently results in gastrointestinal disease manifestations but has been associated with respiratory symptoms 44 , and herpes simplex virus 1, a virus which often establishes a latent infection not typically associated with respiratory symptoms but can be detected in instances of coinfection with another respiratory pathogen 45 , a pattern replicated here, were additionally not included in the 14-pathogen original surveillance screening platform. Consistent with global patterns of respiratory virus infections and previous estimates of the respiratory virus burden in Madagascar 7 , 46 , respiratory virus infections were detected at higher frequency among younger patients, a pattern which held even after excluding RSV infection, which is strongly associated with patient ages < 2 years in Madagascar 9 . We identified no pattern of viral infection by sex, also consistent with previous research in the country 7 , 47 . Codetection of respiratory pathogens has also been previously reported at a similar rate in Malagasy patients 8 . Finally, the broad diversity of respiratory viruses identified in this study is in line with previous work from Madagascar that found a number of different pathogens which underpin care seeking for respiratory symptoms 8 , 16 , 48 . Studies in neighboring Reunion 49 island and other countries in sub-Saharan Africa likewise report detection of numerous types of viruses 50 , 51 and wide intra-virus diversity 52 associated with respiratory illness in hospitals and clinics. Despite a survey of microbial diversity in the remaining nasopharyngeal samples that did not yield evidence of viral infection (n = 36, 35.3%), we were unable to identify likely causal pathogens. Because many bacteria are not obligately pathogenic, without a more nuanced background sample of Malagasy populations to characterize the expected presence of nasopharyngeal microbial taxa, we cannot confidently conclude that the presence of a pathogen or dominance in the sequencing reads corresponds to a febrile illness. While previous work has characterized human respiratory tract microbiomes, microbial profiles of nasopharyngeal microbiomes can vary widely 53 . Further, the respiratory microbiome has been shown to change throughout an individual’s life 54 as well as in response to a number of behavioral or environmental factors 54 , 55 . Previous studies have addressed the inherent variation in respiratory microbiomes by establishing thresholds for attributing respiratory illness to bacterial infection (i.e. in comparison to robust background selections of microbiome composition 17 , 56 ) or associated particular biotypes of healthy and infected respiratory microbiomes 57 . However, this study collected nasopharyngeal samples from only two healthy controls, and we were unable to establish statistically significant changes in bacterial presence in nasopharyngeal samples. By contrast, respiratory viruses identified in this study are largely not considered potential commensal organisms and we conclude their presence in a nasopharyngeal sample corresponds to recent infection. Using a global dataset of RSV subtype A sequences circulating concurrently with our Madagascar sequences, we identified evidence of both global interconnectivity and local transmission. The phylogenetic clustering of five RSV sequences collected in early 2015 with a previously published sequence from Madagascar suggests ongoing transmission within the country, in contrast with the divergent 2019 sequence cluster, which appears to have arrived to Madagascar via a different international transmission event. While thousands of human orthopneumovirus sequences have been made public from upwards of twenty African nations, complete or nearly complete RSV sequences of any subtype collected before 2020 are publicly reported in NCBI and GISAID databases from only nine countries. The COVID-19 pandemic resulted in a global expansion in sequencing technology 58 , and since 2020, sequencing output of RSV has increased, with additional countries reporting thousands more sequences. However, limited sampling density of global RSV cases during our study interval restricts inference corresponding to the exact dynamics of RSV introductions to Madagascar. Expanded sequencing pipelines and public reporting of RSV will permit analysis of source and directionality of transmission. Many of the viral pathogens identified by mNGS techniques were included in the multiplex RT-qPCR panel for screening respiratory infections at Malagasy hospitals. It is possible that a mismatch between the specific primers involved in the RT-qPCR and the genomic composition of circulating pathogens at the time of study resulted in the surveillance system missing detection of these infections; such mismatches have previously resulted in false negatives in screenings for RNA viruses including RSV 59 and influenza 60 . Further, the substantial within-taxa diversity of viral genomes could result in reduced sensitivity of PCR methods. Pairwise identity between primers and sequences varied among the sequences identified in this study, with most virus sequences diverging from the primer sequences. However, our findings largely underscore the importance of multi-pathogenic surveillance for respiratory pathogens and provide support for continued broad surveillance as the majority of viruses identified by mNGS were represented in the 14-virus multiplex RT-qPCR screening panel. Four of the pathogens identified via mNGS that are not included in this panel, cytomegalovirus, EVC-99, HPIV-4 and rotavirus, have also been previously identified, albeit at low frequency, in Madagascar 8 , 43 . Evidence of viral infection was identified in approximately two thirds of patient samples included in this study with many samples still lacking diagnosis. Previous studies using mNGS to identify causes of undiagnosed illness have reported a range of pathogen detection rates, with several also identifying pathogens in close to 60% of samples 17 , 19 , although studies frequently report pathogen identification in < 50% of samples 18 , 21 , 61 , with higher detection rates possible 62 . While it is likely that some still-unidentified respiratory illness was caused by bacterial or eukaryotic infections, it is also possible that viral infections were unrecognized, even by mNGS. Contrary to previous findings that viral infection reduces nasopharyngeal microbiome diversity 56 , 63 , we did not find a statistically significant difference in diversity indices between samples with and without evidence of viral infection, potentially suggesting that our thresholds for determining respiratory infection were too narrow, or that the mNGS did not capture all viral infections within the cohort. If samples were collected after the onset of infection and illness, false-negative results are possible as viruses may no longer be detectable either through PCR or sequencing at a later timepoint in an individual’s infection, particularly given that many of the viruses identified in this study are RNA viruses, which degrade rapidly. Previous qualitative work focused on malarial fever in Madagascar suggests that care-seeking is frequently delayed until either the sick person does not respond to home treatment or the illness becomes severe 64 . Such delays could reduce the probability of virus detection from febrile disease. In previous work using mNGS to study SARS-CoV-2, deep sequencing was not always able to identify genetic material in samples that had tested positive via PCR, with detection most successful during early stage disease 56 . Additionally, lack of maintenance of cold chain risks degradation of RNA in samples and resultingly limited detection by molecular methods, a possibility that cannot be ruled out here. It is also possible that those reporting to a hospital with fever and respiratory symptoms could have an infection that is not primarily shed in respiratory excreta. Previous work suggests investigation of blood, serum, and fecal samples may yield more complete insight into currently undiagnosed febrile patients presenting in Madagascar hospitals; blood samples from individuals with fever enrolled between 2011 to 2013 in Madagascar analyzed with qPCR identified bacterial, eukaryotic, and viral pathogens, including Klebsiella pneumoniae , Candida , and dengue, enterovirus, and cytomegalovirus, but were only able to “diagnose” a pathogen in 25% of samples 65 . Future work leveraging metagenomic sequencing methods on a wider range of samples with associated metadata may begin to bridge this remaining gap in pathogen detection and provide deeper insight into fever of unknown cause in Madagascar. CONCLUSION A variety of respiratory viruses contribute to some, but not all, undiagnosed healthcare visits for fever and cough in Madagascar. While the 14-pathogen multiplex PCR test used for pathogen surveillance cannot detect additional circulating viruses and primer compatibility may have reduced the sensitivity of PCR tests to the viruses identified by mNGS, the surveillance platform for respiratory infections in Madagascar appears well-suited to the current burden of disease. However, mNGS analysis of undiagnosed fevers provided a more comprehensive overview of the diversity of viruses resulting in clinic visits for febrile illness. Integrating mNGS with a shorter delay into disease surveillance efforts could provide a public health benefit in diagnosing pathogens not included in existing screening panels as well as a method for identifying novel or zoonotic pathogens emerging in human populations. Molecular epidemiology using mNGS provides a useful strategy to investigate the etiology of undiagnosed respiratory fevers and expanded sequencing capacity linked more closely with sample collection could yield further insight. Abbreviations mNGS metagenomic Next Generation Sequencing RT-qPCR reverse transcription quantitative polymerase chain reaction RSV respiratory syncytial virus RSV-A respiratory syncytial virus subtype A IPM Institut Pasteur de Madagascar LMICs lower- and middle-income countries HRV human rhinovirus HMPV human metapneumovirus HBoV human bocavirus HPIV human parainfluenza virus HSV herpes simplex virus Declarations Ethics approval and consent to participate: This project was reviewed and received approval from the Ministry of Health in Madagascar (Authorization N 068-MSANP/CE) and the Institutional Review Board of the University of California Berkeley. The project was conducted in accordance with the Declaration of Helsinki. Participants provided written informed consent and participants under the age of 18 provided informed assent while consent was obtained from parents or legal guardians. Consent for publication Not applicable. Availability of data and materials The genomic datasets generated and analyzed during the current study are available in the Sequence Read Archive and on GenBank. Competing interests The authors report no relevant competing interests regarding the publication of this article. Funding Research was funded by the Bill and Melinda Gates Foundation (GCE/ID OPP1211841 to CEB and J-MH), the Adolph C. and Mary Sprague Miller Institute for Basic Research in Science (postdoctoral fellowship to CEB), the Department of Education Graduate Assistance in Areas of National Need (P200A210054 fellowship funding to SL), and the Chan Zuckerberg Biohub. Author’s contributions: CEB and J-MH conceived of the project and acquired the funding. Initial PCR screening of respiratory samples was conducted by NHR, VR, and THR. mNGS sequencing was conducted by HCR, THR, CEB, and VA. SL conducted the statistical and phylogenetic analyses and wrote the original draft of the manuscript. All authors edited and approved the manuscript. Acknowledgements: The authors gratefully acknowledge Joseph L. DeRisi, Maira Phelps, and Cristina M. Tato of the Chan Zuckerberg Biohub (CZB) for logistical support and Angela Detweiler, Norma Neff, and Michelle Tan of the CZB for sequencing support. We acknowledge the Virology Unit of the Institut Pasteur de Madagascar for supporting the project. We additionally acknowledge all data contributors and their submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative, on which this research is partially based. This work was completed in part with resources provided by the University of Chicago’s Research Computing Cluster. References Sarfo JO et al (2023) Acute lower respiratory infections among children under five in Sub-Saharan Africa: a scoping review of prevalence and risk factors. 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Clin Infect Dis 73:1338–1345 Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9086867","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":603986300,"identity":"b2a8b24d-8e12-472c-98fe-2d792882f082","order_by":0,"name":"Sophie Lockwood","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA90lEQVRIiWNgGAWjYDACdgYGxgYQ43gPkDjAIAMW5cGnhRmm5cwZsBYeErTcyCFSi3wz88GPM9ts5Phuvj34uOKMDQ+/RALjg7dtuLUYHGZLltzYlmYseTsv2fDMjTQeyRkJzIZz8Wlh5jFjfLjtcOKG2zlmkg0fDvMY3Ehgk+bFo0W+Gabl5hnznw0f/vPY30hg/41PC8NhoJaNIC03gIyGGwd4DCQS2JjxaQH7ZeY/oF/O5CVLNpxJ5pE487BZcs45PA5rbz74secMMMSOnz34seGYnRx/e/LBD2/K8DgMEwgkNpCkHgj4D5CqYxSMglEwCoY5AADB0ldLmw8z+AAAAABJRU5ErkJggg==","orcid":"","institution":"University of California Berkeley","correspondingAuthor":true,"prefix":"","firstName":"Sophie","middleName":"","lastName":"Lockwood","suffix":""},{"id":603987196,"identity":"af3c885a-b625-4edf-be6a-ebaac35eba62","order_by":1,"name":"Hafaliana Christian Ranaivoson","email":"","orcid":"","institution":"University of California Berkeley","correspondingAuthor":false,"prefix":"","firstName":"Hafaliana","middleName":"Christian","lastName":"Ranaivoson","suffix":""},{"id":603987197,"identity":"abc1eb16-d844-4be5-b344-46724974fa8c","order_by":2,"name":"Tsiry Hasina Randriambolamanantsoa","email":"","orcid":"","institution":"Institut Pasteur de Madagascar","correspondingAuthor":false,"prefix":"","firstName":"Tsiry","middleName":"Hasina","lastName":"Randriambolamanantsoa","suffix":""},{"id":603987198,"identity":"18426e02-641b-42be-b765-a75c966da268","order_by":3,"name":"Norosoa Razanajatovo","email":"","orcid":"","institution":"Institut Pasteur de Madagascar","correspondingAuthor":false,"prefix":"","firstName":"Norosoa","middleName":"","lastName":"Razanajatovo","suffix":""},{"id":603987199,"identity":"c13a3c32-c9bb-4e55-9643-70c4632a117f","order_by":4,"name":"Vololoniaina Raharinosy","email":"","orcid":"","institution":"Institut Pasteur de Madagascar","correspondingAuthor":false,"prefix":"","firstName":"Vololoniaina","middleName":"","lastName":"Raharinosy","suffix":""},{"id":603987200,"identity":"24dff90c-6579-4adc-a866-41e64e19144f","order_by":5,"name":"Vida Ahyong","email":"","orcid":"","institution":"Chan Zuckerberg Biohub","correspondingAuthor":false,"prefix":"","firstName":"Vida","middleName":"","lastName":"Ahyong","suffix":""},{"id":603987201,"identity":"a500e083-67eb-414e-991f-81902d3dd9b2","order_by":6,"name":"Jean-Michel Heraud","email":"","orcid":"","institution":"Institut Pasteur de Madagascar","correspondingAuthor":false,"prefix":"","firstName":"Jean-Michel","middleName":"","lastName":"Heraud","suffix":""},{"id":603987202,"identity":"b92396c0-ea5a-4b4c-998d-45ed039b8c79","order_by":7,"name":"Philippe Dussart","email":"","orcid":"","institution":"Institut Pasteur de Madagascar","correspondingAuthor":false,"prefix":"","firstName":"Philippe","middleName":"","lastName":"Dussart","suffix":""},{"id":603987203,"identity":"a560ee5b-9ddd-47f0-8241-20cf40cf8894","order_by":8,"name":"Vincent Lacoste","email":"","orcid":"","institution":"Institut Pasteur de Madagascar","correspondingAuthor":false,"prefix":"","firstName":"Vincent","middleName":"","lastName":"Lacoste","suffix":""},{"id":603987204,"identity":"ad4af032-3407-42cd-892e-0b4e7bada2cb","order_by":9,"name":"Cara E. Brook","email":"","orcid":"","institution":"University of California Berkeley","correspondingAuthor":false,"prefix":"","firstName":"Cara","middleName":"E.","lastName":"Brook","suffix":""}],"badges":[],"createdAt":"2026-03-10 17:58:06","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-9086867/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9086867/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104396549,"identity":"efafeabe-75a4-4ed2-81f0-6b78f0e57e3d","added_by":"auto","created_at":"2026-03-11 11:12:25","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":522882,"visible":true,"origin":"","legend":"\u003cp\u003eA) Province-level map of Madagascar displaying locations where patient samples were collected. Background color corresponds to the number of individuals sampled in each location. Pie charts indicate the type of viruses identified in the patient population of the three geographic regions in which patient samples yielded evidence of viral infection. Provinces where no samples had evidence of viral infection do not have pie charts. B) Time series of all nasopharyngeal sample collections between 2014 and 2019, with samples that yielded evidence of viral infection indicated in color.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-9086867/v1/9c5b53e198521604a599fc43.png"},{"id":104396460,"identity":"3151af7e-aa6b-4a2c-9b86-c006d20cee79","added_by":"auto","created_at":"2026-03-11 11:12:06","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":503763,"visible":true,"origin":"","legend":"\u003cp\u003eA) Shannon diversity distributions for healthy controls included in the analysis, and samples in which evidence of viral infection was and was not found. B) The relative proportion of reads per million contributed by each microbial class for each sample, stratified by whether or not evidence of viral infection was detected. Classes of microbes that contributed less than 1% of the relative proportion of total reads per million were reclassified as “Other.” The Shannon diversity index of each sample is displayed beneath each column.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-9086867/v1/d0c67f068612e6598f51b05e.png"},{"id":104396458,"identity":"1b8392eb-1ebe-4e40-9636-71141a48962e","added_by":"auto","created_at":"2026-03-11 11:12:05","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":788055,"visible":true,"origin":"","legend":"\u003cp\u003ePhylogenetic characterization of the consensus genomes identified via mNGS including full genome nucleotide trees for A) \u003cem\u003ePneumoviridae\u003c/em\u003e, B) \u003cem\u003ePicornaviridae\u003c/em\u003e, C) \u003cem\u003eCoronaviridae\u003c/em\u003e, D) \u003cem\u003eParvovirinae\u003c/em\u003e, and E) \u003cem\u003eParamyxoviridae\u003c/em\u003e. Contextual sequences were obtained from NCBI’s GenBank database, comprising reference sequences of the family of viruses identified in the Madagascar study. Maximum likelihood reconstruction of phylogenetic trees was conducted using GTR+I+G4 nucleotide substitution models. Node color indicates whether viruses were detected by mNGS, included in the original multiplex-PCR screening protocol, or not included in the original surveillance. Text highlights also indicate viruses detected by mNGS. Node shape indicates whether the virus is known to cause disease in humans.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-9086867/v1/1e456272e20b0ba519bbdd8f.png"},{"id":104396553,"identity":"3bd51e03-6c18-4454-9d38-3e6de3b61f28","added_by":"auto","created_at":"2026-03-11 11:12:27","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":1075325,"visible":true,"origin":"","legend":"\u003cp\u003eA) Map of all whole genome African RSV sequences available on GenBank/GISAID with collection date between 2013 and 2019. B) Maximum likelihood phylogeny (GTR+I+G4) of whole genome nucleotide RSV subtype A sequences (n=1294) color coded by continent of origin. RSV-A sequences were obtained from public databases and subsampled. The reference sequence for RSV subtype B was used as an outgroup. C) Subset of part B phylogeny showing a cluster of Madagascar sequences from this study collected in 2015. D) Subset of the part B phylogeny including cluster of Madagascar sequences from this study collected in 2019. E) Subset of part B phylogeny including Madagascar sequence from this study collected in 2015.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-9086867/v1/0e8a12f0fa81af988188bbbd.png"},{"id":104396610,"identity":"234faecc-8718-4518-8328-65be18ee8549","added_by":"auto","created_at":"2026-03-11 11:12:47","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":4389915,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9086867/v1/92442cd1-1bf5-46f7-9567-9e563bb63532.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eIdentifying viral infections through metagenomic Next Generation Sequencing of undiagnosed respiratory fevers in Madagascar (2014-2019)\u003c/p\u003e","fulltext":[{"header":"BACKGROUND","content":"\u003cp\u003eRespiratory illness is responsible for substantial global morbidity and mortality. A leading cause of death due to infectious disease, respiratory infections result in the highest burden in lower- and middle-income countries and among children under age five\u003csup\u003e\u003cspan additionalcitationids=\"CR2\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e. Viruses frequently cause acute respiratory infections, although bacterial and parasitic infections can also result in respiratory symptoms\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e,\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eMadagascar, an island nation of nearly 30\u0026nbsp;million people off the southeastern coast of the African continent, experiences a high burden of respiratory disease\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e, resulting from a high diversity of pathogens\u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e. In Madagascar, viral infections contribute to approximately one fifth of hospital visits for non-specific febrile disease\u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e and more than half of hospital visits for respiratory symptoms in both urban\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e and rural\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e settings. Madagascar is a relatively closed island population with temperate to tropical climates where respiratory virus dynamics likely reflect both local circulation and repeated introductions from outside sources. Respiratory pathogen surveillance in Madagascar has permitted the identification of temporal\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e, climatic\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e and geographic\u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e patterns of acute respiratory viral infections. Interestingly, the seasonal patterns observed in influenza and parainfluenza transmission in Madagascar are asynchronous with global patterns, even those of countries connected by relatively frequent travel\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e,\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u003c/sup\u003e. Further, Madagascar hosts unique viruses relative to global trends, with distinct circulating strains of influenza virus in comparison to outside strains used to determine annual vaccine recommendations\u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e. Madagascar\u0026rsquo;s unusual geographic position and infection seasonality underscore the importance of investigating patterns in respiratory illness in the country.\u003c/p\u003e \u003cp\u003eThe Ministry of Health of Madagascar, in collaboration with the Institut Pasteur de Madagascar (IPM), established a nationwide sentinel syndromic surveillance system for febrile illness in 2007, expanding coverage from surveillance that had previously only been conducted in the capital, Antananarivo\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e. The system included screening for influenza-like illnesses via nasopharyngeal sampling and provided a useful tool for monitoring abnormal febrile illness and tracking respiratory pathogen outbreaks (e.g. the influenza A/(H1N1)pdm09 and SARS-CoV-2 viruses)\u003csup\u003e\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e. Select hospitals in the country screen patients reporting with respiratory symptoms and fever for influenzaviruses, respiratory syncytial virus (RSV), and, since 2020, SARS-CoV-2 by testing nasopharyngeal swabs with real-time quantitative polymerase chain reaction (RT-qPCR). During outbreak investigations, patients are screened for a larger suite of common pathogens with a 14-virus multiplex RT-qPCR panel that includes strains of parainfluenza viruses, coronaviruses, rhinoviruses, influenza viruses, adenoviruses, and bocaviruses\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e. However, 25% of patients reporting to Malagasy health centers with influenza-like illness between 2008 and 2009\u003csup\u003e7\u003c/sup\u003e and 80% of symptomatic SARS-CoV-2 negative patients in hospitals and communities between 2020 and 2022\u003csup\u003e16\u003c/sup\u003e remained undiagnosed after RT-qPCR screening for these 14 viruses.\u003c/p\u003e \u003cp\u003eMetagenomic Next Generation Sequencing (mNGS) enables identification of pathogens of unknown origin, by sequencing all nucleic acid in a single sample, allowing for \u003cem\u003ede novo\u003c/em\u003e genome assembly of both novel and previously described microbes of viral, bacterial, fungal, or eukaryotic origin that may be associated with febrile illness. As an unbiased method, mNGS is an effective surveillance tool for non-specific conditions such as febrile disease with respiratory symptoms. The utility of mNGS in identifying etiologic agents of disease has been previously demonstrated in studies of febrile illness in low-resource settings in Cambodia\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e and Uganda\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e,\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u003c/sup\u003e, to investigate the etiology of undiagnosed dengue-like symptoms in Nicaragua\u003csup\u003e\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e, and to provide diagnosis of fever of unknown cause in travelers to the United Kingdom\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e and the Netherlands\u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e. As a tool, mNGS has led to the identification of novel human viruses\u003csup\u003e\u003cspan additionalcitationids=\"CR24\" citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e, including those of zoonotic origin. Molecular epidemiology played a critical role in the COVID-19 pandemic, and led to a global expansion of sequencing capacity, although regional disparities in sequence reporting persist\u003csup\u003e\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u003c/sup\u003e. In low and middle income countries (LMICs), mNGS platforms for pathogen surveillance offer unique benefits and face additional hurdles\u003csup\u003e\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e,\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u003c/sup\u003e. A pan-pathogenic detection tool, mNGS is useful when samples are limited in quantity and has the potential to enhance biological surveillance in regions where cross-species transmission risk is high. However, establishing the laboratory and bioinformatics pipeline necessary to carry out mNGS is an ongoing challenge as it requires advanced training, costly equipment and reagents, and reliable cold-chain, electricity, and internet infrastructure.\u003c/p\u003e \u003cp\u003eHere, we report on five years of sampling with subsequent mNGS sequencing and analysis of undiagnosed febrile patients reporting with respiratory symptoms to public hospitals in Madagascar. We find evidence of viral infection in over nearly two thirds of cases and generate consensus genomes of respiratory viruses known to circulate in Madagascar, including human metapneumoviruses, rhinoviruses, seasonal coronaviruses, and orthopneumoviruses (RSV). We report factors associated with viral detection, contextualize the identified viruses, and assess primer compatibility between the RT-qPCR surveillance panel and the sequences. Finally, we conduct phylogeographic analyses to estimate the number of introductions of RSV subtype A, the only pathogen detected in this study with sufficient frequency to support a broader analysis.\u003c/p\u003e"},{"header":"METHODS","content":"\u003cp\u003e\u003cb\u003eStudy population and sample collection.\u003c/b\u003e Patients reporting to public hospitals in Madagascar with fever between 2014 and 2019 were screened according to syndromic surveillance guidelines. Nasopharyngeal swabs were collected from febrile patients with cough and were transported to the IPM laboratory in Antananarivo where they underwent RNA extraction and screening by real-time RT-PCR for 14 routine human respiratory viruses: human parainfluenzaviruses 1, 2, and 3, human coronaviruses OC43, 229E, HKU1, and NL63, human rhinovirus (HRV), influenzaviruses A and B, human metapneumovirus, RSV, human adenovirus, and human bocavirus (see \u003cb\u003eTable S1\u003c/b\u003e for details). Nasopharyngeal samples analyzed in this study screened negative on this pathogen panel and later underwent mNGS. Eleven nasopharyngeal swabs from individuals who screened positive for RSV, HRV, and influenzavirus were included as positive controls, and several healthy individuals provided nasopharyngeal samples for negative controls.\u003c/p\u003e \u003cp\u003e \u003cb\u003emNGS sample processing, sequencing, and bioinformatics.\u003c/b\u003e Following sample collection, RNA extraction was conducted using the Zymo Quick DNA/RNA Microprep Plus Kit (Zymo Research, Irvine, CA) according to the manufacturer\u0026rsquo;s instructions and including the reaction for DNAse digestion. mNGS library preparation was completed using the NEBNext Ultra RNA II Library Prep Kit (New England BioLabs, Beverly, MA, USA) also per manufacturer instructions. Libraries were pooled and assessed for quality with electrophoresis (High-Sensitivity DNA Kit and Agilent Bioanalyzer; Agilent Technologies, Santa Clara, CA, USA) and small-scale sequencing (2 x 146 bp) on an Illumina iSeq machine (Illumina, San Diego, CA, USA) to permit equimolar pooling of individual libraries that proceeded to large-scale paired end mNGS (2 x 146 bp) on an Illumina NextSeq sequencing machine (Illumina, San Diego, CA, USA). Using the Chan Zuckerburg Infectious Disease (CZID) bioinformatics pipeline\u003csup\u003e\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u003c/sup\u003e, raw sequence reads were progressively filtered for host reads, read quality, and duplicates (see \u003cb\u003eFigure S1\u003c/b\u003e). \u003cem\u003eDe novo\u003c/em\u003e genome construction was conducted on the resulting filtered non-host reads and microbial taxa were identified based on BLAST nucleotide and protein comparison to NCBI databases\u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e. Where possible, consensus genomes were generated using the CZID pipeline. Complete and nearly complete consensus sequences were added to GenBank (accession numbers: PX467117-PX467146) and raw data was uploaded to the NCBI Sequence Read Archive (SRA) under BioProject number PRJNA1328692.\u003c/p\u003e \u003cp\u003e\u003cb\u003emNGS analysis\u003c/b\u003e. We sought to identify potential etiologies of febrile disease. We followed previous methods\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e to consider identified viruses to be significant infections potentially causative of febrile disease if reads generated from mNGS produced a matched alignment of at least 50 base pairs in length, with a depth of at least 10 reads per million, and an e-value of 1e-10 or lower. We further required that reads mapping to target taxa generated a z-score of at least 1 following comparison with the background microbiome from two healthy human controls. Both e-values and z-scores were generated using the CZID pipeline\u003csup\u003e\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003e \u003cb\u003eSimple statistics.\u003c/b\u003e We analyzed patient demographic characteristics and compared characteristics between samples with and without evidence of viral infection using Chi squared and Fisher\u0026rsquo;s exact tests for categorical variables and the Wilcoxon rank-sum test for differences in age. We conducted simple linear regression to evaluate association between the number of patients with and without evidence of viral infection sampled in each month during the study interval. All analyses were conducted using R version 4.4.1.\u003c/p\u003e \u003cp\u003e \u003cb\u003eMicrobial diversity.\u003c/b\u003e We assessed microbial diversity for each sample by calculating Shannon diversity indices for each sample in R version 4.4.1 using the Vegan package (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://vegandevs.github.io/vegan/\u003c/span\u003e\u003cspan address=\"https://vegandevs.github.io/vegan/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e). We compared samples with and without evidence of viral infection as well as to samples from two healthy controls. Differences in the mean Shannon diversity indices between groups were evaluated by ANOVA.\u003c/p\u003e \u003cp\u003e \u003cb\u003eAnalysis of primer match.\u003c/b\u003e To identify compatibility between sequences assembled from Malagasy patients to the primer set included in the 14-pathogen surveillance screening, we downloaded all primer sequences (described in previously published work\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e). We aligned consensus genomes from this study with these primer sequences using GeneiousPrime and calculated percent pairwise identity and number of divergent base pairs between the primer set and each consensus genome corresponding to a pathogen included in the surveillance panel.\u003c/p\u003e \u003cp\u003e \u003cb\u003eSequence analysis.\u003c/b\u003e We first conducted manual BLASTn comparison of each consensus genome with the NCBI database. Then, we conducted two main phylogenetic analyses: 1) full-genome maximum likelihood phylogenies for the family or genus of the viruses for which consensus genomes were obtained and 2) characterization of potential sources of introduction of RSV subtype A lineages, the only pathogen identified in our data with sufficient frequency for such an approach.\u003c/p\u003e \u003cp\u003eIn the first phylogenetic analysis, for each of the assembled consensus genomes, we combined our sequences with all reference sequences available in NCBI Virus corresponding to the same viral family, sub-family or genus of the target sequences of interest. As such, we combined our two Madagascar \u003cem\u003eCoronaviridae\u003c/em\u003e sequences with 74 reference sequences (Taxid: 11118) and the reference sequence for porcine torovirus (accession number: NC_022787.1) as an outgroup. We combined the sole Madagascar \u003cem\u003eParvovirinae\u003c/em\u003e sequence with 48 reference sequences (Taxid: 40119) and the reference sequence for Danaus plexippus iteravirus (accession number: NC_023842.1) as an outgroup. To make the \u003cem\u003eParamyxoviridae\u003c/em\u003e dataset, we combined the unique Madagascar sequence with 92 reference sequences (Taxid: 11158) and included the reference sequence for Sun Coast virus (accession number: NC_025345.1) as an outgroup. We combined 15 Madagascar \u003cem\u003ePneumoviridae\u003c/em\u003e sequences with 11 reference sequences (Taxid: 11244) and the Sun Coast virus (accession number: NC_025345.1) as an outgroup. We finally combined 11 Madagascar \u003cem\u003eEnterovirus\u003c/em\u003e sequences with 31 reference sequences (Taxid: 12059) and the reference sequence for porcine sapelovirus (accession number NC_003987.1) as an outgroup. Accession numbers for all reference sequences included in all phylogenies are listed in \u003cb\u003eTable S2\u003c/b\u003e.\u003c/p\u003e \u003cp\u003eSequences from each of these datasets were aligned using default parameters in the online software MAFFT v7.511\u003csup\u003e30\u003c/sup\u003e and visually verified in AliView\u003csup\u003e\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e\u003c/sup\u003e. Alignments were tested for the best fit nucleotide substitution model using ModelTest-NG\u003csup\u003e32\u003c/sup\u003e. Phylogenetic trees were inferred by maximum likelihood using the best-fitting model from ModelTest-NG, in all cases a general time reversible model with gamma distributed rates and invariant sites (GTR\u0026thinsp;+\u0026thinsp;I+G4), in RAxML\u003csup\u003e\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eTo contextualize RSV subtype A lineages in Madagascar with concurrently circulating global strains, we generated a comprehensive sequence dataset by compiling all the RSV-A consensus genomes obtained from this study with all publicly available complete and near-complete RSV-A genomes with available collection location and date corresponding to anytime during or before the same sampling interval (2014\u0026ndash;2019) from NCBI Virus and GISAID\u003csup\u003e\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u003c/sup\u003e databases. The reference sequence of RSV subtype B (accession number NC_001781.1) was included as an outgroup. We then subsampled the dataset to a maximum four sequences per country per month during the interval of interest using a Nextstrain pipeline\u003csup\u003e\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e\u003c/sup\u003e. Model selection and phylogenetic tree reconstruction were both conducted using IQ-TREE 2.0.7\u003csup\u003e36\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eAll tree visualizations were conducted using ggtree\u003csup\u003e\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e\u003c/sup\u003e in R version 4.4.1.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003e\u003cstrong\u003eClinical, demographic, and geographic characteristics.\u003c/strong\u003e We analyzed 102 nasopharyngeal swabs collected from febrile patients in Antananarivo and Mahajanga provinces across Madagascar between 2014 and 2019 (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e), 11 of which were previously diagnosed samples by RT-qPCR included as positive controls. Two samples were collected from healthy controls in 2019. Febrile patients ranged in age from infants to adults but skewed towards pediatric patients (median age: 2 years, IQR: 0\u0026ndash;29.75 years). The median patient age was younger among individuals with evidence of viral infection (with viral infection: 1, IQR: 0\u0026ndash;5.8 years; without viral infection: 31 years, IQR: 4.5\u0026ndash;55.8 years, Wilcoxon rank-sum, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), a pattern that held when the analysis was repeated excluding RSV infections (Wilcoxon rank-sum, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). Both males and females were included in the sample (63% male), and sex did not differ between virus-infected and uninfected patients (\u0026chi;\u003csup\u003e2\u003c/sup\u003e, p\u0026thinsp;=\u0026thinsp;1). Most patients providing nasopharyngeal swabs presented to hospitals in Antananarivo, the central province that includes the capital city; only one sample was provided from Mahajanga province (Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\u003cp\u003e \u003cb\u003eMicrobes detected by mNGS.\u003c/b\u003e A range of bacteria, eukaryotes, and viruses were identified in the nasopharyngeal swabs (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Although healthy controls had the highest average Shannon diversity index relative to both febrile samples with and without evidence of viral infection, and the mean Shannon diversity index was lowest among samples with evidence of viral infection, differences between groups were not significant (ANOVA, p\u0026thinsp;=\u0026thinsp;0.06).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eViruses detected by mNGS.\u003c/b\u003e Evidence of infection with known pathogenic viruses was identified in 66 (64.7%) nasopharyngeal samples, including from nine viral families (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Evidence of multiple virus coinfection was found in 16 (24%) samples. Most viral coinfections (n\u0026thinsp;=\u0026thinsp;12) included two viruses, three samples had coinfections with three viruses, and one sample had evidence of infection with five viruses (bocaparvovirus, mastadenovirus, betapolyomavirus, cytomegalovirus, and alphacoronavirus) (see \u003cb\u003eTable S3\u003c/b\u003e for further details).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eViruses identified by mNGS in nasopharyngeal samples that meet the threshold for evidence of viral infection. Samples were collected in public hospitals across Madagascar between 2014 and 2019, screened negative on multiplex RT-qPCR, and underwent sequencing.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVirus Species\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFamily\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNumber of Samples*\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNumber of Whole Genomes\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBetapolyomavirus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003ePolyomaviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBocaparvovirus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eParvoviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCoronavirus\u003c/p\u003e \u003cp\u003eBetacoronavirus\u003c/p\u003e \u003cp\u003eAlphacoronavirus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eCoronaviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6\u003c/p\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u003c/p\u003e \u003cp\u003e2\u003c/p\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCytomegalovirus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eOrthoherpesviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEnterovirus\u003c/p\u003e \u003cp\u003eRhinovirus A\u003c/p\u003e \u003cp\u003eRhinovirus B\u003c/p\u003e \u003cp\u003eRhinovirus C\u003c/p\u003e \u003cp\u003eOther enteroviruses\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003ePicornaviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e20\u003c/p\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e10\u003c/p\u003e \u003cp\u003e4\u003c/p\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInfluenza virus\u003c/p\u003e \u003cp\u003eAlphainfluenzavirus\u003c/p\u003e \u003cp\u003eBetainfluenzavirus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eOrthomyxoviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3\u003c/p\u003e \u003cp\u003e2\u003c/p\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMastadenovirus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eAdenoviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetapneumovirus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003ePneumoviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOrthopneumovirus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003ePneumoviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eParainfluenza virus\u003c/p\u003e \u003cp\u003eHuman Parainfluenzavirus 4\u003c/p\u003e \u003cp\u003eHuman Parainfluenzavirus 1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eParamyxoviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2\u003c/p\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRotavirus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eReoviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSimplexvirus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eOrthoherpesviridae\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003e* Does not sum to n\u0026thinsp;=\u0026thinsp;66 samples with evidence of viral infection because 16 individuals were co-infected\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eEleven positive controls were included in this analysis, comprising two patients with influenza A(H3N2) virus detection by RT-qPCR, eight patients diagnosed with RSV, and one with RSV-HRV coinfection. Concordance between mNGS and RT-qPCR methods was high (9/11 samples, 81.8%). Among the two positive controls initially diagnosed with A(H3N2) virus, mNGS identified evidence of alphainfluenzavirus infection in only one. Among the 8 positive controls initially diagnosed with RSV, mNGS identified evidence of RSV infection in all cases. In the RSV-HRV coinfected positive control, mNGS identified evidence of RSV but not HRV infection.\u003c/p\u003e \u003cp\u003eThirty consensus genomes were obtained from 29 of 66 samples with evidence of viral infection; consensus genomes corresponded to 12 (40%) orthopneumoviruses (respiratory syncytial virus, RSV), 11 (36.7%) rhinoviruses (HRV), 3 (10%) metapneumoviruses (HMPV), 2 (6.7%) betacoronaviruses, and 1 (3.3%) each of bocavirus (HBoV) and parainfluenza virus (HPIV). Within each virus family, consensus genomes represented a broad virus diversity, including both RSV subtypes A and B; HRV species A, B, and C; human betacoronavirus species HKU1 and OC43; and HMPV subtypes 1 and 2 (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ea-e). All these viruses except HPIV-4 were included in the 14-pathogen surveillance panel, although primer match varied among the sequences (\u003cb\u003eFigure S2\u003c/b\u003e; virus-specific mismatches described in the following section).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eWe describe the identified viruses in further detail:\u003c/p\u003e \u003cp\u003e \u003cb\u003ePneumoviridae.\u003c/b\u003e Multiple known human pathogens are members of the family \u003cem\u003ePneumoviridae\u003c/em\u003e, such as human metapneumovirus (HMPV) and human orthopneumovirus (RSV), both of which were included in the RT-qPCR surveillance panel. Between 2015 and 2017, 8 human metapneumovirus infections were identified by mNGS in Madagascar, yielding three whole genome HMPV sequences, two HMPV strain A and one HMPV strain B. BLAST comparison identified that HMPV-A sequences were closest to sequences circulating in China and Australia in the early 2010s and the HMPV-B sequence most resembled sequences circulating in Europe and east Asia in the same period. Although human metapneumovirus was included in the surveillance panel, both HMPV-A sequences had two nucleotide mismatches to the primer set (\u003cb\u003eFigure S2\u003c/b\u003e).\u003c/p\u003e \u003cp\u003eTwenty-four RSV infections were identified in the mNGS data, twelve of which resulted in whole genome consensus sequences, including ten of subtype A and two of subtype B. No complete RSV sequence had perfect compatibility with the primer set used in RT-qPCR screening, with mismatches of at least one nucleotide per sequence (\u003cb\u003eFigure S2\u003c/b\u003e). Phylogenetic analysis of the RSV-A sequences indicated two distinct clusters of cases, collected in March 2015 (n\u0026thinsp;=\u0026thinsp;5) and 2019 (n\u0026thinsp;=\u0026thinsp;4) (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eb). The 2015 sequences clustered with a previously published sequence from Madagascar collected in early 2016, and, at a more basal node, with sequences collected in Europe (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003ec). The 2019 sequences were related most closely to sequences circulating in Australia and the Americas between 2017 and 2019 (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003ed). One 2015 Madagascar sequence identified in this study did not cluster with any other Madagascar sequences, but rather with sequences recovered from Morocco and Australia in subsequent years (2016, 2019) (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003ee).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003ePicornaviridae\u003c/b\u003e. The family \u003cem\u003ePicornaviridae\u003c/em\u003e includes enteroviruses, many of which are known to cause human infection with a range of symptoms. Human rhinovirus was the only enterovirus included in the multiplex PCR and one positive control was initially diagnosed with an HRV-RSV coinfection. However, the HRV infection diagnosed by RT-qPCR was not detected by mNGS. Between 2014 and 2019, eleven rhinovirus infections were identified in the mNGS data, comprising five HRV-A sequences, five HRV-C sequences, and one HRV-B sequence. Primer matching was low for the HRV-B sequence, with 5 nucleotide differences, and ranged more widely for HRV-A (between 0 and 6 mismatches) and HRV-C (3 nucleotide discrepancies) (\u003cb\u003eFigure S4\u003c/b\u003e). HRV sequences do not appear to be closely related; among HRV-A, the Madagascar sequences were most closely related to strains A51, 21, 54, 94, and 101 while HRV-C sequences resembled types 3, 22, 24, and 27. Additionally, although no consensus genome was obtained, evidence of infection with enterovirus C99 and with coxsackie virus A was identified in one patient each (see \u003cb\u003eTable S3\u003c/b\u003e).\u003c/p\u003e \u003cp\u003e \u003cb\u003eCoronaviridae.\u003c/b\u003e The family \u003cem\u003eCoronaviridae\u003c/em\u003e comprises many known human pathogens, including seasonal human coronaviruses as well as zoonotic coronaviruses with pandemic potential (e.g. SARS-CoV, MERS-CoV, SARS-CoV-2). Evidence of infection with both betacoronaviruses, including HCoV-OC43 and HCoV-HKU1, and the alphacoronavirus HCoV-NL63 was identified in six patients, yielding two consensus genomes of HCoV-OC43 (see \u003cb\u003eTable S3\u003c/b\u003e). All human coronaviruses known to date were included in the surveillance panel. PCR primers perfectly aligned with one of the HCoV-OC43 full genomes identified (accession: PX467129) and mismatched by one nucleotide with the other (accession: PX467121) (\u003cb\u003eFigure S2\u003c/b\u003e).\u003c/p\u003e \u003cp\u003e \u003cb\u003eParvovirinae.\u003c/b\u003e \u003cem\u003eParvovirinae\u003c/em\u003e includes known pathogens human bocaviruses 1, 2, 3, and 4. By mNGS, one human bocaparvovirus was identified in Madagascar from 2015. Although human bocavirus was included in the RT-qPCR screening, it was only detected by mNGS and there were no mismatches between the primers and the sequence.\u003c/p\u003e \u003cp\u003e \u003cb\u003eParamyxoviridae.\u003c/b\u003e The viral family \u003cem\u003eParamyxoviridae\u003c/em\u003e also encompasses many known human pathogens, including measles virus, mumps, and human parainfluenza viruses. Of the four types of HPIV, only types HPIV-1, HPIV-2, and HPIV-3 were included in the multiplex RT-qPCR screening. Despite its inclusion in the surveillance panel, HPIV-1 was not detected in a PCR-negative sample from 2017, but was identified by mNGS, although a full genome sequence was not obtained. One full-genome human parainfluenza virus 4 was identified from a sample collected in 2016; this type of HPIV was not included in the surveillance panel. By BLAST comparison, the HPIV-4 sequence was most similar to viruses from South America and Europe sampled between 2013 and 2016.\u003c/p\u003e \u003cp\u003e \u003cb\u003ePolyomaviridae.\u003c/b\u003e Evidence of infection with human polyomavirus 4 (betapolyomavirus) was identified in one patient whose samples contained multiple co-detected viruses. This virus, first described in 2007 among hospitalized patients with pneumonia in Australia\u003csup\u003e\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e\u003c/sup\u003e, has not previously been reported in Madagascar.\u003c/p\u003e \u003cp\u003e \u003cb\u003eOrthoherpesviridae.\u003c/b\u003e \u003cem\u003eOrthoherpesviridae\u003c/em\u003e is a family of DNA viruses capable of latent infection and subsequent reactivation, causing a wide range of diseases. No virus of this family was included in the multiplex RT-qPCR; however, two different viruses were detected by mNGS. One sample showed evidence of infection with herpes simplexvirus 1 (HSV-1) and eight samples with cytomegalovirus, although full genome coverage was not achieved for any of these viruses. The HSV-1 infection and all cases of cytomegalovirus were detected alongside at least one other virus.\u003c/p\u003e \u003cp\u003e \u003cb\u003eReoviridae.\u003c/b\u003e No \u003cem\u003eReoviridae\u003c/em\u003e, a viral family that includes many common causes of enteric and respiratory disease, were included in the surveillance screening. Using mNGS, a rotavirus was detected in one sample that also had evidence of infection with orthopneumovirus and mastadenovirus.\u003c/p\u003e \u003cp\u003e \u003cb\u003eAdenoviridae.\u003c/b\u003e Human adenovirus was included in the multiplex RT-qPCR screening but not identified by PCR in any samples assayed. Nonetheless, using mNGS, we identified evidence of infection with mastadenovirus in twelve patients but were unable to obtain a full genome.\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eWe identified several viral pathogens potentially causing respiratory febrile illness in Madagascar that were not diagnosed at the time of initial hospital visit. All viruses for which we obtained consensus genomes were known human pathogens and most viruses identified in this study had been previously detected in Madagascar, including RSV\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e,\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e,\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e\u003c/sup\u003e, and influenza virus\u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e,\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e,\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e\u003c/sup\u003e, both of which are responsible for high burdens of respiratory disease and hospitalization in children under five. Additionally, metapneumovirus\u003csup\u003e\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e,\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e\u003c/sup\u003e, bocaparvovirus\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e,\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e\u003c/sup\u003e, seasonal coronaviruses\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e, parainfluenza virus\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e,\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e, adenoviruses\u003csup\u003e\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e\u003c/sup\u003e, rotavirus\u003csup\u003e\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e\u003c/sup\u003e, and rhinovirus\u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e and other enteroviruses, including enterovirus C99\u003csup\u003e43\u003c/sup\u003e have all been identified in Madagascar during the last several decades. We present, to our knowledge, the first evidence of infection with human polyomavirus 4 in Madagascar. Despite prior documentation of their circulation in the country, neither cytomegalovirus, EV-C99 nor HPIV-4 were included in the 14-pathogen surveillance panel used for original screening. Rotavirus, which more frequently results in gastrointestinal disease manifestations but has been associated with respiratory symptoms\u003csup\u003e\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e\u003c/sup\u003e, and herpes simplex virus 1, a virus which often establishes a latent infection not typically associated with respiratory symptoms but can be detected in instances of coinfection with another respiratory pathogen\u003csup\u003e\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e\u003c/sup\u003e, a pattern replicated here, were additionally not included in the 14-pathogen original surveillance screening platform.\u003c/p\u003e \u003cp\u003eConsistent with global patterns of respiratory virus infections and previous estimates of the respiratory virus burden in Madagascar\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e,\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e\u003c/sup\u003e, respiratory virus infections were detected at higher frequency among younger patients, a pattern which held even after excluding RSV infection, which is strongly associated with patient ages\u0026thinsp;\u0026lt;\u0026thinsp;2 years in Madagascar\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e. We identified no pattern of viral infection by sex, also consistent with previous research in the country\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e,\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e\u003c/sup\u003e. Codetection of respiratory pathogens has also been previously reported at a similar rate in Malagasy patients\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e. Finally, the broad diversity of respiratory viruses identified in this study is in line with previous work from Madagascar that found a number of different pathogens which underpin care seeking for respiratory symptoms\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e,\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e,\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e\u003c/sup\u003e. Studies in neighboring Reunion\u003csup\u003e\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e\u003c/sup\u003e island and other countries in sub-Saharan Africa likewise report detection of numerous types of viruses\u003csup\u003e\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e,\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e\u003c/sup\u003e and wide intra-virus diversity\u003csup\u003e\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e\u003c/sup\u003e associated with respiratory illness in hospitals and clinics.\u003c/p\u003e \u003cp\u003eDespite a survey of microbial diversity in the remaining nasopharyngeal samples that did not yield evidence of viral infection (n\u0026thinsp;=\u0026thinsp;36, 35.3%), we were unable to identify likely causal pathogens. Because many bacteria are not obligately pathogenic, without a more nuanced background sample of Malagasy populations to characterize the expected presence of nasopharyngeal microbial taxa, we cannot confidently conclude that the presence of a pathogen or dominance in the sequencing reads corresponds to a febrile illness. While previous work has characterized human respiratory tract microbiomes, microbial profiles of nasopharyngeal microbiomes can vary widely\u003csup\u003e\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e\u003c/sup\u003e. Further, the respiratory microbiome has been shown to change throughout an individual\u0026rsquo;s life\u003csup\u003e\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e\u003c/sup\u003e as well as in response to a number of behavioral or environmental factors\u003csup\u003e\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e,\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e\u003c/sup\u003e. Previous studies have addressed the inherent variation in respiratory microbiomes by establishing thresholds for attributing respiratory illness to bacterial infection (i.e. in comparison to robust background selections of microbiome composition\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e,\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e\u003c/sup\u003e) or associated particular biotypes of healthy and infected respiratory microbiomes\u003csup\u003e\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e\u003c/sup\u003e. However, this study collected nasopharyngeal samples from only two healthy controls, and we were unable to establish statistically significant changes in bacterial presence in nasopharyngeal samples. By contrast, respiratory viruses identified in this study are largely not considered potential commensal organisms and we conclude their presence in a nasopharyngeal sample corresponds to recent infection.\u003c/p\u003e \u003cp\u003eUsing a global dataset of RSV subtype A sequences circulating concurrently with our Madagascar sequences, we identified evidence of both global interconnectivity and local transmission. The phylogenetic clustering of five RSV sequences collected in early 2015 with a previously published sequence from Madagascar suggests ongoing transmission within the country, in contrast with the divergent 2019 sequence cluster, which appears to have arrived to Madagascar via a different international transmission event. While thousands of human orthopneumovirus sequences have been made public from upwards of twenty African nations, complete or nearly complete RSV sequences of any subtype collected before 2020 are publicly reported in NCBI and GISAID databases from only nine countries. The COVID-19 pandemic resulted in a global expansion in sequencing technology\u003csup\u003e\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e\u003c/sup\u003e, and since 2020, sequencing output of RSV has increased, with additional countries reporting thousands more sequences. However, limited sampling density of global RSV cases during our study interval restricts inference corresponding to the exact dynamics of RSV introductions to Madagascar. Expanded sequencing pipelines and public reporting of RSV will permit analysis of source and directionality of transmission.\u003c/p\u003e \u003cp\u003eMany of the viral pathogens identified by mNGS techniques were included in the multiplex RT-qPCR panel for screening respiratory infections at Malagasy hospitals. It is possible that a mismatch between the specific primers involved in the RT-qPCR and the genomic composition of circulating pathogens at the time of study resulted in the surveillance system missing detection of these infections; such mismatches have previously resulted in false negatives in screenings for RNA viruses including RSV\u003csup\u003e\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e\u003c/sup\u003e and influenza\u003csup\u003e\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e\u003c/sup\u003e. Further, the substantial within-taxa diversity of viral genomes could result in reduced sensitivity of PCR methods. Pairwise identity between primers and sequences varied among the sequences identified in this study, with most virus sequences diverging from the primer sequences. However, our findings largely underscore the importance of multi-pathogenic surveillance for respiratory pathogens and provide support for continued broad surveillance as the majority of viruses identified by mNGS were represented in the 14-virus multiplex RT-qPCR screening panel. Four of the pathogens identified via mNGS that are not included in this panel, cytomegalovirus, EVC-99, HPIV-4 and rotavirus, have also been previously identified, albeit at low frequency, in Madagascar\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e,\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eEvidence of viral infection was identified in approximately two thirds of patient samples included in this study with many samples still lacking diagnosis. Previous studies using mNGS to identify causes of undiagnosed illness have reported a range of pathogen detection rates, with several also identifying pathogens in close to 60% of samples\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e,\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u003c/sup\u003e, although studies frequently report pathogen identification in \u0026lt;\u0026thinsp;50% of samples\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e,\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e,\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e\u003c/sup\u003e, with higher detection rates possible\u003csup\u003e\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e\u003c/sup\u003e. While it is likely that some still-unidentified respiratory illness was caused by bacterial or eukaryotic infections, it is also possible that viral infections were unrecognized, even by mNGS. Contrary to previous findings that viral infection reduces nasopharyngeal microbiome diversity\u003csup\u003e\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e,\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e\u003c/sup\u003e, we did not find a statistically significant difference in diversity indices between samples with and without evidence of viral infection, potentially suggesting that our thresholds for determining respiratory infection were too narrow, or that the mNGS did not capture all viral infections within the cohort. If samples were collected after the onset of infection and illness, false-negative results are possible as viruses may no longer be detectable either through PCR or sequencing at a later timepoint in an individual\u0026rsquo;s infection, particularly given that many of the viruses identified in this study are RNA viruses, which degrade rapidly. Previous qualitative work focused on malarial fever in Madagascar suggests that care-seeking is frequently delayed until either the sick person does not respond to home treatment or the illness becomes severe\u003csup\u003e\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e\u003c/sup\u003e. Such delays could reduce the probability of virus detection from febrile disease. In previous work using mNGS to study SARS-CoV-2, deep sequencing was not always able to identify genetic material in samples that had tested positive via PCR, with detection most successful during early stage disease\u003csup\u003e\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e\u003c/sup\u003e. Additionally, lack of maintenance of cold chain risks degradation of RNA in samples and resultingly limited detection by molecular methods, a possibility that cannot be ruled out here. It is also possible that those reporting to a hospital with fever and respiratory symptoms could have an infection that is not primarily shed in respiratory excreta. Previous work suggests investigation of blood, serum, and fecal samples may yield more complete insight into currently undiagnosed febrile patients presenting in Madagascar hospitals; blood samples from individuals with fever enrolled between 2011 to 2013 in Madagascar analyzed with qPCR identified bacterial, eukaryotic, and viral pathogens, including \u003cem\u003eKlebsiella pneumoniae\u003c/em\u003e, \u003cem\u003eCandida\u003c/em\u003e, and dengue, enterovirus, and cytomegalovirus, but were only able to \u0026ldquo;diagnose\u0026rdquo; a pathogen in 25% of samples\u003csup\u003e\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e\u003c/sup\u003e. Future work leveraging metagenomic sequencing methods on a wider range of samples with associated metadata may begin to bridge this remaining gap in pathogen detection and provide deeper insight into fever of unknown cause in Madagascar.\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eA variety of respiratory viruses contribute to some, but not all, undiagnosed healthcare visits for fever and cough in Madagascar. While the 14-pathogen multiplex PCR test used for pathogen surveillance cannot detect additional circulating viruses and primer compatibility may have reduced the sensitivity of PCR tests to the viruses identified by mNGS, the surveillance platform for respiratory infections in Madagascar appears well-suited to the current burden of disease. However, mNGS analysis of undiagnosed fevers provided a more comprehensive overview of the diversity of viruses resulting in clinic visits for febrile illness. Integrating mNGS with a shorter delay into disease surveillance efforts could provide a public health benefit in diagnosing pathogens not included in existing screening panels as well as a method for identifying novel or zoonotic pathogens emerging in human populations. Molecular epidemiology using mNGS provides a useful strategy to investigate the etiology of undiagnosed respiratory fevers and expanded sequencing capacity linked more closely with sample collection could yield further insight.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003emNGS\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003emetagenomic Next Generation Sequencing\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eRT-qPCR\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ereverse transcription quantitative polymerase chain reaction\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eRSV\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003erespiratory syncytial virus\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eRSV-A\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003erespiratory syncytial virus subtype A\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eIPM\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eInstitut Pasteur de Madagascar\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eLMICs\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003elower- and middle-income countries\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eHRV\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ehuman rhinovirus\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eHMPV\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ehuman metapneumovirus\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eHBoV\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ehuman bocavirus\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eHPIV\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ehuman parainfluenza virus\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eHSV\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eherpes simplex virus\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis project was reviewed and received approval from the Ministry of Health in Madagascar (Authorization N 068-MSANP/CE) and the Institutional Review Board of the University of California Berkeley. The project was conducted in accordance with the Declaration of Helsinki. Participants provided written informed consent and participants under the age of 18 provided informed assent while consent was obtained from parents or legal guardians.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe genomic datasets generated and analyzed during the current study are available in the Sequence Read Archive and on GenBank.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors report no relevant competing interests regarding the publication of this article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eResearch was funded by the Bill and Melinda Gates Foundation (GCE/ID OPP1211841 to CEB and J-MH), the Adolph C. and Mary Sprague Miller Institute for Basic Research in Science (postdoctoral fellowship to CEB), the Department of Education Graduate Assistance in Areas of National Need (P200A210054 fellowship funding to SL), and the Chan Zuckerberg Biohub.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor\u0026rsquo;s contributions:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCEB and J-MH conceived of the project and acquired the funding. Initial PCR screening of respiratory samples was conducted by NHR, VR, and THR. mNGS sequencing was conducted by HCR, THR, CEB, and VA. SL conducted the statistical and phylogenetic analyses and wrote the original draft of the manuscript. All authors edited and approved the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors gratefully acknowledge Joseph L. DeRisi, Maira Phelps, and Cristina M. Tato of the Chan Zuckerberg Biohub (CZB) for logistical support and Angela Detweiler, Norma Neff, and Michelle Tan of the CZB for sequencing support. We acknowledge the Virology Unit of the Institut Pasteur de Madagascar for supporting the project. We additionally acknowledge all data contributors and their submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative, on which this research is partially based. This work was completed in part with resources provided by the University of Chicago\u0026rsquo;s Research Computing Cluster.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eSarfo JO et al (2023) Acute lower respiratory infections among children under five in Sub-Saharan Africa: a scoping review of prevalence and risk factors. BMC Pediatr 23:225\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBender RG et al (2024) Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990\u0026ndash;2021: a systematic analysis from the Global Burden of Disease Study 2021. Lancet Infect Dis 24:974\u0026ndash;1002\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFrigati L et al (2025) Respiratory infections in low and middle-income countries. 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Clin Infect Dis 73:1338\u0026ndash;1345\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"University of California, Berkeley","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"respiratory viruses, mNGS, public health surveillance","lastPublishedDoi":"10.21203/rs.3.rs-9086867/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9086867/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eRespiratory illness contributes to substantial global morbidity and mortality. In Madagascar, an island nation off the southeastern coast of the African continent, hospital-based public health surveillance for respiratory pathogens screens for common respiratory viruses. However, many cases remain undiagnosed.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eWe conducted metagenomic Next Generation Sequencing (mNGS) to identify the pathogen profile of 102 undiagnosed febrile patients who presented to public hospitals with respiratory symptoms and screened negative on a 14-virus multiplex RT-qPCR. We analyzed the diversity of the respiratory microbiome of each patient from mNGS data and identified viral infections potentially linked to undiagnosed fever. We assembled whole genome consensus sequences of viruses with sufficient read depth and coverage, characterized each phylogenetically, and identified any discrepancies with the primers used in the multiplex RT-qPCR panel. Finally, we compared all whole genome sequences against publicly available global databases in a phylogenetic analysis.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eWe identified evidence of infection by a wide range of known human viruses in approximately two thirds (64.7%) of study participants from nine different families of viruses and generated 30 complete or nearly complete consensus sequences of known respiratory viruses including orthopneumoviruses, metapneumoviruses, rhinoviruses, coronaviruses, parainfluenza virus, and bocaparvovirus. mNGS-attributed evidence of infection was predominantly due to orthopneumovirus (also called respiratory syncytial virus [RSV]; n\u0026thinsp;=\u0026thinsp;24) and enterovirus (n\u0026thinsp;=\u0026thinsp;20) detections, despite previous negative RT-qPCR results for these and other common respiratory viruses for most patients investigated. Finally, phylogenetic analysis identified two distinct phylogenetic clusters of RSV subtype A, suggesting local transmission following distinct international introductions for this virus.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003emNGS provides a sensitive pan-pathogenic tool for virus detection. We demonstrate the diversity of viruses driving respiratory fevers in Madagascar, emphasize the importance and relevance of the existing respiratory surveillance in the country, and highlight the interconnectedness of regional respiratory infection dynamics with global networks of respiratory pathogen transmission.\u003c/p\u003e","manuscriptTitle":"Identifying viral infections through metagenomic Next Generation Sequencing of undiagnosed respiratory fevers in Madagascar (2014-2019)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-11 11:10:03","doi":"10.21203/rs.3.rs-9086867/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"c822ac7a-66ad-4eed-af39-b27d23d6baa6","owner":[],"postedDate":"March 11th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":64274282,"name":"Infectious Diseases"}],"tags":[],"updatedAt":"2026-03-11T11:10:08+00:00","versionOfRecord":[],"versionCreatedAt":"2026-03-11 11:10:03","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9086867","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9086867","identity":"rs-9086867","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}