key: cord-011129-btaxvmsr authors: Di Paola, Nicholas; Sanchez-Lockhart, Mariano; Zeng, Xiankun; Kuhn, Jens H.; Palacios, Gustavo title: Viral genomics in Ebola virus research date: 2020-05-04 journal: Nat Rev Microbiol DOI: 10.1038/s41579-020-0354-7 sha: doc_id: 11129 cord_uid: btaxvmsr Filoviruses such as Ebola virus continue to pose a substantial health risk to humans. Advances in the sequencing and functional characterization of both pathogen and host genomes have provided a wealth of knowledge to clinicians, epidemiologists and public health responders during outbreaks of high-consequence viral disease. Here, we describe how genomics has been historically used to investigate Ebola virus disease outbreaks and how new technologies allow for rapid, large-scale data generation at the point of care. We highlight how genomics extends beyond consensus-level sequencing of the virus to include intra-host viral transcriptomics and the characterization of host responses in acute and persistently infected patients. Similar genomics techniques can also be applied to the characterization of non-human primate animal models and to known natural reservoirs of filoviruses, and metagenomic sequencing can be the key to the discovery of novel filoviruses. Finally, we outline the importance of reverse genetics systems that can swiftly characterize filoviruses as soon as their genome sequences are available. Infections with viruses of the mononegaviral family Filoviridae (in particular, members of the genera Ebolavirus and Marburgvirus) are an increasing threat to mankind. Until recently, the infrequent spillover of these viruses into humans and the fact that spillover often occurred in remote locations, coupled with a limited knowledge of non-human reservoir hosts, the use of low-output genomic sequencing, and biosafety and bio security restrictions on filovirus research, contributed to the paucity of publicly available data on filovirus genome sequences 1 . In December 2013, complete genome sequences for only 29 ebolaviruses and 65 marburgviruses were available 2 despite the fact that 35 outbreaks of natural filovirus disease had been recorded 3 . Since December 2013, atypically extensive filovirus disease outbreaks, from 2013 to 2016 in Western Africa and from 2018 to present in the Democratic Republic of the Congo, have profoundly impacted public health systems. At least 13,675 fatalities from filovirus disease were reported between December 2013 and April 5, 2020 (refs 4,5 ). By leveraging the continued development and improvement of next-generation sequencing technology, >800 complete filovirus genome sequences and over 2,000 draft genomes (that is, genomes with >80% coverage) across classified and unclassified filovirus family members have become available since 2013 (ref. 2 ). Indeed, among high-consequence, Risk Group 4 viruses, the genomic diversity of filoviruses is arguably becoming the best characterized. The impact and importance of genomics in pathogen characterization is routinely demonstrated, but the rapid prediction of, response to and mitigation of outbreaks requires more detailed genomic information than virus consensus-genome sequencing. Indeed, as predicted 6 , metagenomic sequencing has become a powerful tool for identifying novel viruses and, crucially, for predicting pathogen emergence 7 . Targeted or unbiased sequencing of individual clinical samples aids in the identification of outbreaks, the determination of outbreak aetiology and the definition of virus transmission chains by identifying chain-defining single nucleotide polymorphisms (SNPs). Furthermore, field transcriptomics improves our understanding of host responses to virus infection and will be important in deciphering the differences between asymptomatic and symptomatic disease states and in predicting whether patients with acute and chronic disease will survive 8 . Functional genomics is becoming the tool of choice for the rapid characterization of patient-specific viruses that have not been isolated in culture or that cannot be equitably shared among laboratories across borders 9 . Finally, the genomic analysis of patient-specific viruses also enables precision medicine by predicting the efficacy of available medical countermeasures (MCMs) against these individual viruses. Here, we review how recent advances in genomic technologies have shaped past and current responses to outbreaks of Ebola virus disease (EVD), including insights into filovirus diversity and evolution. We emphasize the importance of accurate and rapid large-scale data generation and its implications for the development of MCMs and outbreak response. We also examine the phenomena of Ebola virus (EBOV) persistence in human hosts and provide an overview of recent genomic advances in threat characterization, vaccine development A collection of continuously evolving technologies and techniques that allow for the digitalization of genomic material. The sequencing of genetic material recovered directly from an environmental or clinical sample that allows the identification of all organisms and mobile genetic elements represented in the sample. and immunotherapy. Although we focus primarily on EBOV, these practices can apply to all pathogenic filoviruses and other high-consequence viruses capable of sustaining human-to-human transmission. Although the global distribution and diversity of filoviruses remains largely undefined, metagenomic sequencing is becoming a valuable tool for identifying filovirus reservoirs. Until 1989, disease outbreaks owing to infection by ebolaviruses (including EBOV, Sudan virus (SUDV) and marburgviruses (including Marburg virus (MARV) and Ravn virus (RAVV)) had only been recorded on the African continent ( fig. 1 ). As the natural reservoir hosts of all of these viruses remained unidentified, despite extensive ecological studies, filoviruses were thought to be African viruses 1 . This view changed after 1989, when Reston virus (RESTV; of the genus Ebolavirus) was discovered and repeatedly identified as a lethal pathogen of captive crab-eating macaques (Macaca fascicularis) in non-human primate (NHP) breeding facilities in the Philippines 10-12 ( fig. 1 ). However, although RESTV can infect humans, it appears to be apathogenic 13 . RESTV was subsequently considered to be an Asian anomaly to the African filovirus dogma. Classical filovirus-targeted genome sequencing and, later, unbiased broad-scale metagenomic sequencing, shed new light on filovirus ecology. In 2009, the sequencing of samples obtained from Egyptian rousettes (Rousettus aegyptiacus) in Africa revealed that these bats, which are cavernicolous and frugivorous pteropodids, are natural reservoir hosts of both MARV and RAVV. Coding-complete or complete genomic sequences of both viruses were repeatedly obtained from Egyptian rousette populations in Uganda, Sierra Leone and South Africa [14] [15] [16] [17] , and genomic fragments of these viruses were also detected in populations of these bats in the Democratic Republic of the Congo 18 and in Zambia 19 . Around and after 2008, sequence-based evidence obtained using a range of techniques began to support the hypothesis that RESTV is an Asian virus. RESTV genome sequences were obtained from captive dome stic pigs (Sus scrofa domesticus) in the Philippines and China 20,21 , and RESTV genome fragments were sequen ced from samples from molossid, pteropodid and vespertilionid bats in the Philippines 22 . Next-generation sequencing further enabled the discovery of a highly divergent filovirus, Lloviu virus (LLOV, genus Cuevavirus), in deceased Schreibers's long-fingered bats (Miniopterus schreibersii) in Hungary 23 and in Spain 24 . The Ebolavirus genus was expanded owing to the discovery (via next-generation sequencing) of Bombali virus (BOMV) in molossid little free-tailed bats (Chaerephon pumilus) and Angolan free-tailed bats (Mops condylurus) in Guinea, Kenya and Sierra Leone [25] [26] [27] In short, genomics has clarified that highly divergent filoviruses, frequently with unknown pathogenic potential, are likely to be distributed widely over the African, Asian and European continents in highly diverse host reservoirs ( fig. 2 , Box 1). Furthermore, expanded animal sampling and unbiased host virome sequencing is likely to enable this diversity and distribution to be described in more detail. Of note, the natural host reservoirs of three ebolaviruses that are human pathogens, namely Bundibugyo virus (BDBV), SUDV and Taï Forest virus (TAFV), are still unclear. Furthermore, although bats are suspected to be hosts of EBOV owing to the detection of short EBOV genomic fragments and/or antibodies to EBOV in certain bats 32 , no complete EBOV genome has yet been sequenced from any bat sample. The genomic investigation of archived or newly acquired samples could also support or refute the often-repeated hypothesis that Middle African central chimpanzee (Pan troglodytes troglodytes), duiker (Cephalophus spp.) and western lowland gorilla (Gorilla gorilla gorilla) populations are frequently decimated by EBOV infection [33] [34] [35] . Thus, genomics may enable the prevention of future filovirus disease outbreaks by identifying filovirus natural hosts and by limiting host-human contacts as well as the initial introduction of filoviruses into the human population. Identifying and characterizing outbreaks Genomics-based techniques have been central in the identification and characterization of filovirus disease outbreaks. The largest known filovirus disease outbreak occurred from 2013 to 2016 in Western Africa and was caused by a novel EBOV variant, Makona (EBOV/Mak) ( fig. 1 ). Genomic sequencing efforts during this EVD outbreak showcased various platforms and strategies to characterize thousands of human clinical samples containing EBOV/Mak 36 . Early efforts relied on exporting positive samples to high-complexity genomic centres abroad 37, 38 (Box 2). However, in December 2014, EBOV/Mak genome sequencing using benchtop sequencers, such as the MiSeq System (Illumina) and the Ion Torrent system Nature reviews | Microbiology R e v i e w s (Thermo Fisher Scientific) in-country (namely, in Liberia and Sierra Leone), became standard practice [39] [40] [41] . In addition, field laboratories used the iSeq 100 (Illumina), a portable bench-top sequencer with low error rates that can be transported in a suitcase, to obtain complete EBOV genome sequences to determine virus transmission in the Democratic Republic of the Congo 42, 43 . Use of the portable nanopore sequencing technology MinION (Oxford Nanopore Technologies) markedly reduced the time required to obtain the genome sequence from patient samples and enabled the reintroduction of EBOV into Guinea and Sierra Leone to be rapidly confirmed 41 . Similarly, the EBOV variants causing the 2018 Équateur Province EVD (EBOV/"Tum") and the ongoing Nord-Kivu/Sud-Kivu/Ituri Province EVD outbreak caused by EBOV/"Itu" in the Democratic Republic of the Congo were quickly identified by the use of MinION 42, 44 . The timing and establishment of in-country genomic sequencing capabilities determine which information can be captured and disseminated during an EVD outbreak. Early sequencing efforts can provide an informative 'snapshot' of the genomic epidemiology of EBOV during the initial phase of the outbreak 45 . The extent of the genomic diversity of the virus at the beginning of an outbreak can be used to determine whether single or multiple virus spillover events have occurred and to provide a crude estimate of the time at which a virus emerged in a human population 37, 38, 46, 47 . Highly accurate genomic data have been used to characterize intra-host EBOV populations and genetic drift and even to evaluate, in silico and in real time, the available diagnostic measures and MCMs 42, 47, 48 . As an outbreak progresses and the sampling size increases, phylodynamic and spatiotemporal analyses reveal broader trends in the intra-outbreak evolutionary rate of the virus, its geographical migration and factors contributing to virus transmission, disease outcome and virus-host adaptation 36, [49] [50] [51] [52] [53] [54] . Ideally, the viral agent is initially identified using highly portable sequencing platforms on site. After this identification, considerations other than sequencing speed (for example, sequencing accuracy and processivity) become paramount in determining virus transmission networks and in detecting changes in the viral genome (between cases in the current outbreak and between the current and previous outbreaks) that could subvert MCMs. However, whereas unbiased sequencing approaches using high fidelity platforms can lead to the discovery of co-infections and reveal important clinical considerations during the treatment of patients near the point of need, targeted methods of pathogen characterization using the portable sequencing platforms iSeq 100 and MiSeq (which use bait-enrichment techniques) and MinION (which uses amplicon sequencing) can still provide useful genomic data albeit with a lower sequencing output (that is, a lower number of reads) than unbiased sequencing. Sequencing only a single target during an enduring and large outbreak of EVD may result in the detection of co-infections and/or superinfections being missed. The earliest evidence of an EBOV co-infection was obtained in Gabon in 2002, where a patient with EVD also tested positive for human immunodeficiency virus 1 (HIV-1; a lentivirus of the Retroviridae family) 55 The change in the frequency of an existing gene variant (allele) in a population owing to the occurrence of random mutations. of the family Hepadnaviridae) and Epstein-Barr virus (a lymphocryptovirus of the family Herpesviridae) were reported [56] [57] [58] . Additionally, EBOV infections in patients with a Gram-negative septicaemia or with bacterial translocation have been described [59] [60] [61] . Moreover, an extensive infectious disease due to one particular virus could plausibly conceal a simultaneous outbreak caused by a different pathogen 62 . Notoriously, there have been outbreaks of cholera, plague, measles and malaria, and sporadic cases of monkeypox and yellow fever, alongside the 2018-present EVD outbreak in the north-eastern region of the Democratic Republic of the Congo. Detecting and characterizing co-infections during a disease outbreak can provide clinicians with crucial point-of-care information and identify differences in patient outcomes that may result from co-occurring infections. The characterization of unexpected, co-circulating viruses during large-scale viral outbreaks requires established and reliable sequencing strategies that can be applied without knowledge of which virus is present. The discovery of novel viruses is ideally facilitated by metagenomic sequencing, which often relies on the pre-processing of clinical samples by depleting host-derived genomic material, followed by single or random primer amplification by PCR and deep sequencing [63] [64] [65] . However, metagenomic sequencing is limited by the requirement for computational and bioinformatics resources, which are not always readily available under field conditions. Instead, target-enrichment approaches using a wide breadth of bait probes for known pathogenic viruses, including filoviruses, have led to the successful characterization of known viruses in clinical samples from patients with disease of unknown etiology [66] [67] [68] . Moreover, target-enrichment sequencing is more cost-effective than metagenomic approaches. The percentage of sequencing data matching the target pathogen or pathogens can range from 50% to 99% with target enrichment, whereas with metagenomics approaches often <1% of sequencing data matches the target 69, 70 . Punctual and highly accurate sequencing efforts have revealed the molecular genomic epidemiology of disease and thus enabled the characterization of pathogen transmission during disease outbreaks 71 . The first application of in-country, real-time genomic epidemiology started well into the EVD outbreak of 2013-2016 in Western Africa; portable sequencing was performed and data were analysed in tangent with up-to-date public health data 41 . The abundance of EBOV genome sequences determined during recent large-scale EVD outbreaks (including the 2013-2016 outbreak and the 2018-present outbreak in the Democratic Republic of the Congo) enabled real-time and retrospective investigations, using median-joining haplotype network establishment and phylodynamic inferences, to reveal cryptic human EBOV transmission chains in humans 42, 49, 72, 73 . In coordination with classical epidemiological data (for example, that obtained by manual contact tracing), individual virus transmission events identified by genomic analysis such as median-joining haplotype networks can be temporally and spatially linked to determine likely transmission pathways, including the mode of virus diffusion and the identification of 'superspreaders' (as reviewed in ref. 45 As the quality and quantity of avail able, complete genome sequences improves, new methods identifying intra-host SNPs may provide more granular analyses of person-to-person transmission than previous techniques 39 . Such SNPs can distinguish between almost identical consensus sequences of two or more patients 75 . However, acute infections resulting from direct contact with a recently infected and symptomatic individual, and for which primary infection occurred <21 days before the onset of symptoms, is not the only route for sustained person-to-person transmission during filovirus disease outbreaks. EBOV initially infects monocyte-derived macrophages and dendritic cells, which disseminate the virus through the circulatory system to all main target organs, including the liver, spleen and kidneys. After infecting and damaging the vascular endothelia, EBOV infiltrates the parenchymata of these organs, resulting in focal necroses and inflammation. Such damage can eventually lead to multi-organ dysfunction syndrome and ultimately death 76, 77 . However, in some cases, the intrinsic, innate and adaptive immune responses can contain viral replication and dissemination, resulting in the survival of the patient 78 . Until recently, it was hypothesized that survivors of filovirus diseases effectively abolished filovirus infection. However, new evidence indicates that EBOV can persist in certain sites of the body in the absence of viraemia and that this persistence could cause disease flare-ups (for example, see ref. 73 ). Some of these sites, including the brain, eyes and testes, are immune-privileged Box 1 | Endogenous filovirus elements the bioinformatic analysis of higher animal genome sequences, the number of which is steadily increasing, reveals that a marked percentage of these sequences are derived from ancient retroviruses 142 . Many animal genomes are mosaics that are likely to have evolved through the accidental integration of retroviral genes or gene fragments into germ cell genomes and the subsequent inheritance of this genetic material by descendants. in some cases, these sequences were positively selected for and were (or are still) expressed and their functions were exapted by hosts for novel functions 142 . a famous example of exaptation is the use of the human endogenous retrovirus w-derived syncytin, which was once a retrovirion surface glycoprotein that mediated virion host cell entry but is now essential for placental morphogenesis in pregnant women 143 . During the past decade, scientists have been increasingly aware that such 'viral fossils' or 'paleoviruses' can derive from viruses other than retroviruses. indeed, non-retroviral integrated rNa viruses (Nirvs; also known as endogenous viral elements) were derived from the ancestors of numerous extant virus families 144 . Prominent examples of negative-sense rNa virus-derived Nirvs are bornavirus sequences, which are found in the genomes of bats, fish, hyraxes, marsupials, primates, rodents, ruminants and elephants 145, 146 , and rhabdovirus sequences, which are found in the genomes of crustaceans, mosquitoes, ticks and plants 147, 148 . interestingly, filovirus-derived Nirvs also appear to be widespread as they have been located in the genome of afrosoricids, bats, eulipotyphlans, marsupials and rodents 145, 149, 150 . the function of these stably inherited filovirus sequences remains to be determined. However, the existence of Nirvs indicates that filoviruses are at least several million years old and that highly divergent mammals were exposed to, and at least occasionally infected by, these viruses and perhaps by the descendants of these viruses that exist today. The novel use of an evolved trait for a different function. A minimum spanning tree analysis of recombinant-free genomic sequences that infers ancestry-descendant relationships using haploid genotypes that can be visualized in a single unrooted, reticulate network. The study of how evolutionary processes interact with epidemiological and immunological factors to influence phylogenetic estimations. because they are physically separated from tissues and cells that are under immune surveillance ( fig. 4) . Thus, foreign antigens such as EBOV particles are tolerated within these sites without eliciting an inflammatory immune response 79 . Prior to the outbreak of EVD in Western Africa, evidence of persistent EBOV infection had been sparse probably owing to the small number of spillover events arising from this persistence ( fig. 1 ). Nevertheless, infectious EBOV and MARV and/or filoviral RNA had been detected in the eyes and semen of convalescent survivors prior to this outbreak [80] [81] [82] [83] . The large pool of survivors following the 2013-2016 outbreak of EVD (specifically, 17,323 individuals) was different. Disease flare-ups or re-emergences were reported in at least nine individuals and attributed to sexual transmission or breast-feeding 84 . Sexual transmission of persistent EBOV was implicated in the initiation of new EBOV transmission chains 49, 73, [85] [86] [87] . Genomic analyses revealed that the evolutionary rate of EBOV persisting in testes during convalescence is reduced relative to the rates of EBOV persisting in blood and plasma 85, 88 . All these observations prompted a notable number of studies of the long-term effects of persistent EBOV infection in EVD survivors. Indeed, EBOV persistence can be accompanied by various sequelae, colloquially often referred to as 'post-Ebola [virus] syndrome' 89 . Studies of EBOV persistence in humans and experimentally in NHPs have revolutionized our understanding of EBOV infection and changed the guidelines of clinical operation as well as the recommendations of the World Health Organization for EVD survivors. The impact of genomics on understanding the persistence of EBOV is broader than next-generation sequencing; advances have also revolutionized the field of pathology by allowing the rapid exploration of transcriptional expression in a chosen site of filovirus infection. The development of multi-labelled and targeted 'probes' that allow multiplex immunopathological hybridizations in sites of interest have also boosted our knowledge of EBOV persistence. Indeed, studies using novel histopathological tools have benefited genomic research in immune-privileged and non-immune-privileged sites. Immune-privileged sites. Various neurological complications have been noted in survivors of EVD 90 . In experimentally infected rhesus monkeys (Macaca mulatta), encephalitic EBOV persistence is always accompanied by various degrees of encephalitis or meningoencephalitis 91 . Persistent infection of EBOV in the brain may lead to EVD relapse and late-onset encephalitis in human survivors several months after acute disease 92, 93 . In experimentally infected NHPs, EBOV enters the brain by breaking down the blood-brain barrier by directly infecting and damaging endothelial cells 91 (fig. 4a) . Interestingly, EBOV primarily infects and persists in microglia 91 . Ocular complications, including uveitis, are some of the most common findings during EVD convalescence 94 , and persistent EBOV and persistent MARV have been isolated from the aqueous humour of human survivors with uveitis 80, 95 . In experimentally infected NHPs, EBOV infects blood vessels during the acute phase of infection and later infects parenchymal eye tissues. However, in rhesus monkeys surviving the experimental infection of EBOV with various degrees of uveitis, retinitis and vitritis, EBOV only persisted in CD68 + cells (monocytes or macrophages) in the vitreous chamber and in the inner limiting membrane of the retina to which it is adjacent 91 (fig. 4b ). Whether EBOV isolated from the aqueous humour of human survivors originates from the vitreous chamber and its adjacent structures, as appears to be the case in NHPs, remains unknown 96 . The first recorded sexual transmission of a filovirus occurred in 1967, when a male survivor of Marburg virus disease transmitted MARV to his wife 81 . EBOV genomic RNA was repeatedly detected in the semen of EVD survivors up to 40 months after acute infection 82, 85, 87, [97] [98] [99] , and infectious EBOV was isolated from a few semen samples 100 . EBOV infects the seminiferous tubules of both human and NHPs ( fig. 4c) , which are the immune-privileged sites of sperm production, during the acute phase of disease 101 . Persistent EBOV infection was detected in the epididymis of a single rhesus monkey survivor with epididymitis, whereas MARV persistence in seminiferous tubules was multifocal in 22 of 73 crab-eating macaques that survived 91, 102 . Recent studies indicate that testicular persistence is not restricted to filoviruses, as potential cases of the sexual transmission of Crimean-Congo haemorrhagic fever virus (CCHFV; an orthonairovirus of the family Nairoviridae) and Uveitis inflammation of the uvea (the pigmented layer between retina and the fibrous layer composed of sclera and cornea of the eye). Over the past two decades, high-throughput benchtop platforms (for example, 454 sequencing (roche), Miseq, Nextseq and Hiseq (illumina), sequel and rs (PacBio) and ion torrent (thermo Fisher)) have been the backbone of metagenomics and targeted sequencing approaches for pathogen identification 151 . Genomic centres generally had to allocate a notable portion of space to house and maintain sequencers and transporting sequencers was impractical. For example, Miseq, which is the smallest of the sequencers, weighs 91 kg and occupies ~ 200,000 cm 3 . recently, 'capacity building' efforts have established on-site genomics centres in low-resource settings 39, 40 . However, the international shipping of oversized sequencers that rely on precise optical alignments for functionality can be challenging and cost-prohibitive and may cause irreparable damage to the sequencer. the maintenance and repair of internationally shipped sequencers may also be challenging as they do not come with in-country service contracts from the manufacturers. Moreover, in low-resource settings, trained local staff may not be permanent, and they will periodically require guidance and retraining in sample handling and storage and in how to ensure the continued service and activity of the sequencers. the technological improvements in, and practicality of, portable sequencing technologies have been embraced in recent viral disease outbreaks, including in the 2018-present ebola virus disease outbreak in the Democratic republic of the Congo and a 2018 Lassa fever outbreak in Nigeria. the iseq 100 (illumina) and MiniON (Oxford Nanopore) platforms both conform to on-site field requirements as they are miniature, rapid and easy to use. the ZiBra Zika virus (ZiKv; a flavivirus of the family Flaviviridae) sequencing project in Brazil also demonstrated the feasibility of a 'trailer laboratory', but produced limited complete genome sequences owing to the small amounts of ZiKv rNa in clinical samples 152 . several commercialized mobile laboratories incorporated into trucks or trailers shield equipment and temperature-sensitive reagents from austere conditions while providing ample power and laboratory workspace for sequencing. within such mobile laboratories, smaller PCr thermocyclers, such as the programmable Mini16 thermal cycler with a smartphone (miniPCr bio™), and miniature centrifuges further bolster portability and ease space requirements. Other innovations that limit the need of a 'cold chain' for supplies will greatly improve on-site sequencing in hot climates and remote communities that are prone to outbreaks of ebola virus disease. Arenaviridae) have been reported [103] [104] [105] . Sertoli cells, the supporting cells of spermatogenesis, are the main cellular reservoir of testicular MARV and CCHFV persistence in experimentally infected NHPs 102,106 , and they may also be the reservoir of testicular LASV. The majority of cases of filovirus persistence have been associated with immuneprivileged sites. However, in several EVD flare-ups originating from asymptomatic survivors of EVD that were persistently infected with EBOV, identifying the exact sites of viral persistence in the index cases was not possible 84, 107 . Thus, it is expected that sites of EBOV persistence that are not immune-privileged will be discovered. EBOV can be detected in breastmilk of female survivors of EVD and in various tissues, including the blood and liver, of laboratory mice that have been experimentally infected with EBOV and have partial immunity up to 150 days post-exposure 108, 109 . Persistence in sites that are not immune-privileged has also been recently reported for CCHFV 106 and LASV 110, 111 . Interestingly, CCHFV persists within granulomas of NHP survivors with latent tuberculosis 106 . LASV persists in the smooth muscle cells of blood vessels with vasculitis in both crab-eating macaque and domesticated guinea pig survivors 110, 111 , suggesting that a local altered immunological environment may sustain viral persistence. Genomics is uniquely suited to study the pattern of transmission from patients who are asymptomatic or paucisymptomatic. Genomic studies of persistent infections revealed distinct evolutionary dynamics that might result in patterns that can When viral diversity cannot be explained by spillover and spatial-temporal estimations, a secondary spillover may be possible (top left). Persistent infections through sexual transmission present with low genetic diversity (that is, with a slow evolutionary rate) over periods (bottom right) that are much longer than expected for acute reintroduction at the expected evolutionary rate (top right). A similar analysis was performed during the first discovery of sexual transmission during the 2013-2016 Western African EVD outbreak 73 , and a theoretical example is shown (bottom right). This example indicates the number of days after the initial presentation of symptoms at which an acutely infected male is sampled (day 4) and the day at which he recovers (day 20). On day 175, the sexual partner of this male becomes symptomatic owing to a very similar EBOV genotype, confirmed with epidemiological information and visualized using a median-joining haplotype network. help identify the source of the flare-ups 100 . During the 2013-2016 EVD outbreak, an unexpectedly low genetic diversity and complementary epidemiological data provided the first evidence of EBOV sexual transmission 49, 73 . Recent pathogenesis studies elucidated the persistent infection of EBOV and MARV in seminiferous tubules 101, 102 and epididymides 55 , but niche-specific genomic studies (or single-cell sequencing efforts) have yet to be reported. Certain EBOV mutations may be tissue-specific and may therefore be required to establish persistence; genomics will be key in identifying these mutations. For instance, the sequencing of EBOV genomes present in the plasma and cerebrospinal fluid of a patient with EVD during a relapse revealed that only two non-coding changes to the genome had occurred compared to the originally obtained EBOV genomes sequenced from plasma during the acute phase of disease 93 . Multiple or even single nucleotide changes may permit EBOV to transverse the blood-brain barrier by directly infecting endothelial cells and microglia cells and establishing a persistent infection 91 . Although EBOV and MARV have been detected and isolated from the aque ous humour of EVD survivors with uveitis 80, 95 and in breastmilk of survivors 109 , genomic studies have not yet investigated the evolutionary dynamics in these niches. In nature, diverse biotic communities constantly interact and evolve within an ecosystem in response to environmental factors. Microorganisms, pathogenic or not, participate in these relationships and constantly react and evolve to changes within the environment. In highly complex organisms such as mammals, immune responses against viruses are inherently complex and involve humoural and intracellular mediators and diverse cell types. In turn, viruses such as EBOV evolve sophisticated and diverse strategies to evade the host immune response. By studying host-pathogen interactions, we may improve our understanding of the mechanisms that govern infection, immunity and immune evasion. Even though EBOV is highly virulent and lethal in humans, some individuals survive infection. Furthermore, some individuals who were exposed to EBOV or who tested seropositive for the virus never reported disease. The seroprevalence rate of these individuals, categorized as asymptomatic or paucisymptomatic, has been reported to be >1% throughout Africa [112] [113] [114] [115] [116] [117] . Transcriptomics offer insight as to why certain factors, such as the source, viral load, and infectivity of EBOV or host genetics, contribute to the range of disease severity and survivorship in patients. Host 'immune gene signatures' in patients infected with EBOV/Mak have been associated with clinical prognosis 8, 118 . Indeed, data generated from 112 patients infected with EBOV/Mak (24 survivors and 88 fatal cases) revealed that interferon response-related genes and acute-phase responses were dysregulated in patients who did not survive 8 . However, natural killer cell populations were increased in EVD survivors, suggesting a crucial role for natural killer cells in controlling EBOV infection. Furthermore, low levels of inflammation and robust T cell responses with an upregulation of cytotoxic T lymphocyte-associated protein 4 (CTLA4) and programmed cell death 1 (PD1) expression in T cells also correlated with survival from EVD 118 . Additional transcriptomic studies focusing on the population dynamics of EBOV in infected humans and possibly in naive NHPs will complement earlier characterization of host responses to EVD and provide a greater understanding of the mechanisms of EVD pathogenesis and disease outcome. Bringing transcriptomics tools to the field, facilitated by our ability to perform genomic sequencing in outbreak areas, will allow the promises of precision medicine to be realized in an outbreak setting. The genomic characterization of an outbreak pathogen is only the first step in characterizing a threat, a process that can be facilitated by reverse functional genomics. Classical reverse genetics has focused on the virus rescue of filoviruses based on cloning a reference (that is, a consensus) filovirus sequence or using a replicating filovirus isolate to clone filovirus sequences 61, 62 . However, synthetic reverse genomics can rapidly rescue individual virus haplotypes or genotypes from a virus population in the absence of replicating isolates, using gene and genome synthesis based on sequence information alone. These rescued viruses can be used to evaluate the functional aspects of individual filovirus genome mutations. Thus, functional genomics can facilitate the rapid and precise functional characterization of a newly emerging filovirus or filovirus mutant. Given that natural filovirus isolates must be studied while fulfilling strict biosafety and biosecurity requirements that are frequently not available in areas of filovirus disease outbreaks, the availability of in-country and field-deployable sequencing platforms increases the ability of researchers to gather crucial information about the virus without the need to export biological specimens across national borders. To succeed, field sequencing needs to produce highly accurate finished filovirus genome sequences (for example, sequences that include the complete genomic leader and trailer regions of the virus) from a variety of sample sources 31, 42, 72 . Filoviruses rescued from synthetic reverse genetics systems can then be used to study host adaptation and attenuation as well as the efficacy of therapeutics 118-121 . The de novo generation of EBOV from the ongoing EVD outbreak in the Democratic Republic of the Congo (that is, of EBOV/"Itu") demonstrates the value of synthetic reverse genetics 9 (fig. 5 ). After the development of modular reverse genetic systems that are even more efficient than those available today, even high-throughput phenotypical characterizations of large numbers of minimally divergent filoviruses are likely to be possible even in the absence of a biological isolate. Multiple MCMs against EBOV infection have been developed, including small molecules, monoclonal antibodies (mAbs), antibody cocktails and vaccines 122 , and clinical trials have yielded promising results. However, the population dynamics and evolution of EBOV are influenced by mutations in RNA, RNA recombination rates, virus population bottlenecks, natural selection and fitness (including diversifying and purifying selection), host range and mode of transmission 123 . These traits re-adjust depending on the environment in a natural host, a naive accidental host, a previously exposed accidental host (owing to infection or vaccination) or an accidental host that received an MCM. Therapeutic pressures will force the selection of individual EBOV genotypes, and thereby adaption, to ensure virus survival or persistence. Highly accurate genomic data can be used to evaluate available MCMs in silico prior to in vitro and in vivo testing and to characterize host responses to specific therapeutic interventions in real time. The erosion of genetic diversity and concomitant reduction in individual fitness and evolutionary potential. For example, accurate sequencing data from EBOV/"Itu" allowed for the rapid in silico assessment of the ability of the mAb114 (National Institutes of Health) and ZMapp (Mapp Biopharmaceutical) mAbs to bind to the receptor-binding domain of the EBOV spike glycoprotein GP 1,2 , predicting that these mAbs should be effective against circulating EBOV/"Itu" 42 . Using genomic approaches to understand how MCMs influence EBOV population dynamics and to identify mutant viruses that escape MCMs could augment future therapeutic designs and filovirus-targeting strategies. Correlates of protection for different vaccines and vaccination regimens against EBOV have not been fully determined. However, both humoural and cellular immunity independently correlate with the protection of NHPs from EBOV infection and disease 124, 125 . The use of a recombinant vesicular stomatitis Indiana virus vaccine expressing EBOV GP 1,2 , rVSVΔG-ZEBOV-GP (sold under the brand name Ervebo), the first EBOV vaccine to be approved by the FDA 126, 127 , diminished EVD case fatality rates in a limited ring-vaccination trial performed in Guinea in 2015 (ref. 128 ) and it is currently administered to people living in the area of the current EVD outbreak. However, unfortunately, some vaccinated individuals still present with clinical signs of mild EVD. The exact reasons for these 'breakthrough cases' are not completely understood; however, they are thought to result from EBOV infection within the first 10 days after vaccination. A breakthrough could be due to the individual having an insufficient immune response to control the virus (that is, when the vaccine induces a low titre of anti-EBOV antibodies and/or scarce effector cells) or to EBOV adapting to escape the immunological pressures produced by the vaccine. The characterization of the genomic EBOV population in patients who developed EVD after vaccination could help address these questions. Immunotherapy has also been successfully used as a therapy for EVD, most notably during the ongoing outbreak in the Democratic Republic of the Congo 129 . The Pamoja Tulinde Maisha (PALM) randomized controlled trial recently evaluated four investigational therapeutics (ZMapp, remdesivir (Gilead Sciences, Inc.), mAb114 and REGN-EB3 (Regeneron Pharmaceuticals)) in the treatment of EVD 130 . mAb114 (a single mAb) and REGN-EB3 (a cocktail of three mAbs) were significantly more effective than ZMapp (a cocktail of three mAbs) Reverse functional genomics facilitates external support in the response to outbreaks of Ebola virus disease (EVD) that occur in remote areas that lack in-house resources to test available medical countermeasures. Rapid, high accuracy , complete genome sequences determined in-country are shared with out-of-country collaborators to evaluate key genomic and proteomic changes in Ebola virus (EBOV) that may affect the efficacy of available therapeutics (part a). For example, changes in the double-stranded RNA (dsRNA)-binding site of the EBOV polymerase cofactor viral protein 35 (VP35), a protein targeted by several therapeutics, can be identified from the sequencing data obtained for a new EBOV isolate. Changes in this region of VP35 may compromise the efficacy of treatments. Indeed, if two available therapeutic agents (hypothetical treatment A and hypothetical treatment B) target VP35, reverse genetic systems can produce replicative EBOVs de novo that contain the changes identified in VP35 (part b). These replicative EBOVs can then be used for the in vitro and in vivo therapeutic evaluation of both hypothetical treatments; data obtained using this approach can inform on which treatment is potentially more efficacious against the EBOV isolate causing the outbreak. in treating EVD (P = 0.007 and P = 0.002, respectively) and were also more effective than remdesivir (a nucleoside analogue); the effect of ZMapp and remdesivir on EVD was not significantly different. mAb114, obtained from a 1995 EVD survivor from the Democratic Republic of the Congo, is one of several recently identified ebolavirus-neutralizing antibodies that are being developed as therapeutics for EVD [129] [130] [131] [132] . This mAb protected NHPs from EBOV-induced disease and death, even when administered 5 days after inoculation with EBOV 133 . As mAb114 binds to the EBOV glycoprotein GP 1,2 , the risk of escape mutants arising might be constrained by viral fitness. REGN-EB3 also showed promising results in EBOV-exposed NHPs, and no mutant viruses were reported to escape this MCM 134, 135 . By contrast, EBOV mutants that escape ZMapp have been characterized 136 . A mutation in amino acid residue 508 of EBOV GP 1,2 abrogated its binding to two of the mAbs within ZMapp, and a mutation in amino acid residue 273 of EBOV GP 1,2 abrogated its binding to the third mAb 137 . Moreover, epitope mapping of EBOV GP 1,2 using an alanine-scanning assay 138 identified several residues that are crucial for antibodies to bind to EBOV GP 1,2 , although none of these mutations was tested for fitness. (1) . As EBOV continually replicates, expanding intra-host diversity can create heterogeneous subpopulations (2, blue circles). Once exposed to treatment (3, dashed line), EBOV intra-host populations may be countered and eliminated, demonstrating an effective treatment without further intra-host replication or diversification (green circles). However, a small subpopulation surviving the therapeutic bottleneck may allow escape mutants to subvert treatment (4) and continue diversifying into novel, treatment-resistant genotypes (5, red circles). (~5-10) reduces the analytical power of comparative virus-host interactions and inter-host population-level genomics. In addition, experiments aimed at understanding the appearance of antiviral resistance are restrictive; precise protocols to measure and evaluate EBOV and the host immune response to infection without violating established policies are urgently required. Furthermore, the possibility that a more virulent or less treatable virus may evolve during such experiments and be accidently released is a concern, which is why Institutional Biosafety Committees are cautious in approving experiments aimed at creating such viruses. Additionally, concerns may arise from other nations that are parties of the Biological Weapons and Toxins Convention. Convincing national rivals that experiments resulting in EBOV strains that are resistant to MCMs were actually intended to strengthen MCMs, and not to deliberately create biological weapons, is not straightforward. The advancement of targeted and unbiased genomic sequencing has profoundly impacted our biological knowledge of, epidemiological preparedness for, and response strategies to known and unknown high-consequence filovirus infections. Greater investments in in-country genomic infrastructure and mobile sequencing platforms have reduced the time from sample to viral genome sequence and simultaneously informed local clinicians, epidemiologists and public health officials of genome-guided information on the virus responsible for a current outbreak. Advances in large-scale and timely data generation encourage future genomic studies to go beyond consensus-level pathogen genome sequencing during an outbreak. For example, persistent infections in immune-privileged sites of survivors can be characterized using single-cell sequencing technologies. Additionally, an increased focus on host responses in an infected individual and the contribution of host genome characteristics to disease outcome and transmission would potentially further benefit the development of MCMs and improve the outbreak response. Complete pathogen-host genomic investigations could be applied to infected individuals, NHPs and known natural host reservoirs of filoviruses. The successful integration of current and future genomic tools will rely on the establishment of new long-term partnerships between government, academia and public health agencies and on maintaining in-country genomic capabilities where the threat of filovirus outbreaks is imminent. In silico modelling using the three-dimensional structure of EBOV GP 1,2 was used to predict which mutations in EBOV would enable it to escape antibody binding 139, 140 . Initially, mAb KZ52 was analysed, followed by mAb100, mAb114 and mAb 13F6-1-2. A list of 34 mutations predicted to interfere with KZ52-EBOV GP 1,2 binding was expanded to 127 mutations predicted to disrupt the binding of other mAbs to EBOV GP 1,2 . Three of the predicted mutations were found in EBOVs infecting humans or experimental animals 34, 141 , showing that viruses may escape current MCMs under investigation. Despite the proven efficacy of two therapeutics assessed in the PALM trial, namely mAb114 and REGN-EB3, none of the treatments achieved complete protection against EVD 129 . We hypothesize that the characterization of the EBOV population in individuals who did not benefit from treatment in the PALM trial might help elucidate the reasons for this failure. A clear demonstration of the power of genomics for this purpose was the investigation of two NHPs that succumbed to experimental EBOV exposure despite experimental treatment with MB-003, a cocktail of three mAbs. Two clusters of genomic mutations (a cluster of five non-synonymous changes in one animal and a cluster of four non-synonymous changes in the other) reduced the binding of the three mAbs to EBOV GP 1,2 ( fig. 6 ). Viral isolates obtained after MB-003 treatment recapitulated the observed 'escape' phenotype. The mutations, all located in the EBOV glycoprotein (GP) gene, abrogated antibody binding to GP 1,2 . Although this study was restricted in size, it highlights mechanisms by which EBOV can evade immuno therapies. First, adaptation to a selection pressure can occur rapidly. Second, methods to monitor the appearance and phasing of viral mutants that can escape immunotherapies are crucial. Third, with the use of reverse genetics systems, scientists can acquire pertinent information on the therapeutic efficacy of sequence-based MCMs during an ongoing outbreak of EVD 9 (fig. 5 ). 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In no event shall any of these entities have any responsibility or liability for any use, misuse, inability to use or reliance upon the information contained herein. The US departments do not endorse any products or commercial services mentioned in this publication. These authors researched data for the article, contributed to the writing and discussion of the content, and reviewed and edited the manuscript prior to submission, focusing on the following sections: introduction (N.D., J.H.K. and G.P.); identifying filovirus reservoirs (J.H.K.); identifying and characterizing outbreaks (N.D., J.H.K., G. P. and X.Z.); genomics in threat characterization (N.D. and G.P.); and genomics in prevention and therapy (M.S.-L. and G.P.). All of the authors contributed to the conclusions. All authors declare no competing interests. Nature Reviews Microbiology thanks Miles Carroll and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. FDA news release on the first FDA-approved vaccine for the prevention of ebola virus disease: https://www.fda.gov/ news-events/press-announcements/first-fda-approvedvaccine-prevention-ebola-virus-disease-marking-criticalmilestone-public-health