Pathways for Novel Epidemiology: Plant–Pollinator–Pathogen Networks and Global Change DOI Creative Commons
Willem Proesmans, Matthias Albrecht, Anna Gajda

et al.

Trends in Ecology & Evolution, Journal Year: 2021, Volume and Issue: 36(7), P. 623 - 636

Published: April 15, 2021

Flower sharing amongst pollinator species represents a conduit for interspecific insect pathogen transmission.Plant–pollinator network structure and traits shape dynamics in the community.Global change (climate change, invasive species, agricultural intensification, urbanisation) can modulate interactions, host susceptibility, virulence, thereby creating novel epidemiological risks.Multiple global effects interact synergistic or antagonistic ways, additional risks complicating predictions of evolution.Flower-mediated transmission provides model framework to understand interplay under change. Multiple pressures, their interplay, cause plant–pollinator extinctions modify assemblages interactions. This may alter shifts, intra- spread, emergence population community epidemics. Flowers are hubs transmission. Consequently, interaction networks be pivotal shifts modulating disease dynamics. Traits plants, pollinators, pathogens also govern spread pathogens. Pathogen spillover–spillback between managed wild pollinators driving evolution virulence Understanding this host–pathogen will crucial predicting impacts on pollination underpinning ecosystems human wellbeing. Wild provide ecosystem services diverse economic noneconomic values that support health, production, wellbeing [1.Potts S.G. et al.Safeguarding well-being.Nature. 2016; 540: 220-229Crossref PubMed Scopus (558) Google Scholar]. Multiple, potentially interacting, anthropogenic pressures threaten drive declines Scholar,2.Vanbergen A.J. Insect Pollinators Initiative Threats an service: pollinators.Front. Ecol. 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Microbiol. 2006; 72: 606-611Crossref (184) mating, latter leading vertical generations [7.Beaurepaire A. al.Diversity distribution viruses western honey bee, Apis mellifera.Insects. 2020; 239Crossref (17) Emerging zoonotic diseases due current growing [8.Woolhouse M.E.J. al.Emerging pathogens: epidemiology jumps.Trends Evol. 2005; 20: 238-244Abstract Full Text PDF (438) Although is more limited than intraspecific Hymenoptera [9.Yañez O. al.Bee viruses: routes infection Hymenoptera.Front. 943Crossref (6) Scholar], phylogenetic studies indicate frequent Why particular jump some but not others, remains only partly understood [10.Parrish C.R. al.Cross-species virus new epidemic diseases.Microbiol. Mol. Biol. 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Pollinator obligate flower visitors, foraging feeding and/or at least part life cycle, therefore both compete time space makes hotspots co-occurrence, direct contact, indirect (mediated nectar) Scholar,15.Graystock Scholar,18.Graystock al.Parasites bloom: aid dispersal parasites within species.Proc. 2015; 28220151371Crossref (126) Accordingly, serve 'travel' through crossing boundaries infecting hosts [18.Graystock Studying tripartite plant–pollinator–pathogen help identify flower-mediated elucidate disruptions create determine susceptibility different environmental transmit [19.Williams N.M. al.Ecological life-history predict responses disturbances.Biol. Conserv. 143: 2280-2291Crossref (417) Species' diet breadth preference probability encountering nectar/pollen, infected hosts, deposited flowers. Relatively specialised forage few taxa have lower exposure with broader diets. Less function generalist networks, being highly connected multiple thus indirectly other generalists greater (novel otherwise) accordingly vector across network. Generalist however, differ preferences foragers select specific subsets which mitigate [20.Ellner S.P. al.Individual specialization multihost epidemics: networks.Am. Nat. 195: 118-131Crossref (2) Moreover, dilute per emergent spreading visits over Sociality trait affecting Eusocial (Apis, Bombus, Meliponini) play disproportionately large role history, cooperative brood care, overlapping densely populated colonies exacerbating intra-colony Along generalised diets long flying season bridging phenology eusocial bees contact spillover. However, increased burden immunity (e.g., behaviours combat removing diseased larvae dead workers colony [21.Meunier J. Social group living insects.Philos. Trans. B Sci. 37020140102Crossref (94) Scholar]). Elucidating gradients uptake deposition rates, transportation mode), sizes, plasticity facultative sociality Halictidae) among transmission, largely unexplored important direction eco-epidemiology. Plant risk, facilitation inhibition transfer [5.McArt Floral architecture, constraining access requisite morphological adaptations, filters visitor contacts Plants structurally simple, displays Apiaceae, Rosaceae) attract numerous facilitating [22.Truitt al.Trait-based modeling multi-host transmission: 193: 149-167Crossref (11) Additionally, plants central position often contain high load [23.Piot N. al.Network centrality indicator via flowers.Insects. 872Crossref (0) More complex structures requiring intimate sustained limit functional Alternatively, characteristics, organic volatiles produced mutualists, toxic certain [24.Hammerbacher al.Roles defence against microbial exploitation volatiles.Plant Cell 42: 2827-2843Crossref (56) Nectar rewards phytochemicals inhibit consumed reducing Crithidia sp. bumble [25.Giacomini J.J. al.Medicinal value sunflower pathogens.Sci. 8: 14394Crossref (32) Scholar]), loads spread. Combined resistance degradation temperature, UV-radiation), survival subsequent infections [26.Adler L.S. al.Disease where you dine: associated bees.Ecology. 99: 2535-2545Crossref (23) Scholar,27.Figueroa : , persistence, acquisition flowers.Proc. Lond. 28620190603PubMed physiology alternative has implications levels. Certain individuals immune vectors, whereas others suffer disease, physiological stress, behaviour, reduced fitness death [28.Manley al.Contrasting specialist bees.Mol. 29: 380-393Crossref (3) according nutritional status, influence stressors, context [29.Brown al.Strong context-dependent host-parasite system: reconciling genetic evidence theory.J. Anim. 2003; 994-1002Crossref (208) While research heavily biased towards bees, recent point ranges, bombi families [30.Ngor L. al.Cross-infectivity bee-associated three families.Parasitology. 147: 1290-1304Crossref strains behave specialists terms range, infectivity, ability cross Single-stranded RNA tend pose highest co-infecting mutation rate, short generation time, [31.McMahon D.P. sting spit: widespread cross-infection bees.J. 84: 615-624Crossref (129) Scholar, 32.Dobelmann al.Genetic strain diversity infect wide range associates shaped geographic origins.Viruses. 12: 358Crossref (1) 33.Dalmon al.Possible same resource.Insects. 2021; 122Crossref co-infections (RNA viruses, microsporidia, Acari) further For example, mellifera infested Varroa destructor mites show higher Deformed wing (DWV) [34.Wilfert al.Deformed honeybees driven mites.Science. 351: 594-597Crossref asymmetric intra-host competition inhibiting manifestation [35.Doublet V. al.Within-host Nosema ceranae disadvantage virus.J. Invertebr. Pathol. 124: 31-34Crossref Pathogens behaviour increase potential. trypanosomatid defecate frequently [27.Figueroa fungal scent lure [36.Cellini al.Pathogen-induced honeybee-mediated Erwinia amylovora.ISME 13: 847-859Crossref (18) spp.) forming cysts spores promote persistence susceptible [37.Evison S.E.F. Jensen A.B. biology bees.Curr. Opin. 26: 105-113Crossref Beyond pathogens, biota gut microbiota) interacting mutualistic, commensal, Lactobacilli inadvertently collected improve [38.McFrederick Q.S. al.Environment kin: whence do obtain acidophilic bacteria?.Mol. 2012; 21: 1754-1768Crossref (95) Arbuscular mycorrhizal fungi roots soil fertility chemistry alkaloids) ways [39.Davis J.K. al.From parasites: mycorrhizae nutrients pathogens.Ecology. 100e02801Crossref Interactions virus-vectoring non-vector herbivores mediated chemicals reduction flavonoids) [40.Su Q. herbivore increases vector-borne defences.Funct. 34: 1091-1101Crossref It unknown whether similar trophic might pollinators. Plant–pollinator describe [41.Nielsen Bascompte Ecological nestedness, sampling effort.J. 2007; 95: 1134-1141Crossref (148) Scholar,42.Thébault E. Fontaine C. Stability ecological architecture mutualistic networks.Science. 329: 853-856Crossref (826) pool landscape, metabolic dietary needs, phenological synchrony mutualisms dictate [43.Vázquez al.Uniting pattern process plant-animal networks: review.Ann. Bot. 2009; 103: 1445-1457Crossref (369) 1A). typically asymmetrical form (Box Specialist number single family) represent subset visited nested consist weakly interlinked modules comprise sets strongly [44.Olesen J.M. al.The modularity networks.Proc. Natl. Acad. U. 104: 19891-19896Crossref (957) arise convergent mutualist coevolution, caused example inter- flexible level visitation available [45.Spiesman B.J. Gratton Flexible topology networks.Ecology. 97: 1431-1441Crossref (19) Scholar].Box 1Key Network Metrics TransmissionPlant–pollinator displayed bipartite nodes connecting lines. Connectance, I) arguably most metrics throughout used unweighted (binary) indices exist characterise weighted (i.e., frequency), common accurate way display networks.Connectance proportion realised Hence, containing five ten connectance 0.20, since 50 theoretically possible.Modularity refers division separate modules, within-module connectance, modules. As express modularity. Newman's (Q), calculated fraction each module minus expected random [115.Newman Modularity 8577-8582Crossref (6380) Scholar].Nestedness described tendency resulting species' [116.Bascompte assembly plant–animal 100: 9383-9387Crossref (1355) There several nestedness indices, metric based overlap decreasing fill (NODF) considered robust [117.Almeida-Neto consistent analysis systems: concept measurement.Oikos. 117: 1227-1239Crossref (960) networks. Connectance possible. Nestedness Stochastic environmentally variation fundamental assembl

Language: Английский

Emerging Pandemic Diseases: How We Got to COVID-19 DOI Creative Commons
David M. Morens, Anthony S. Fauci

Cell, Journal Year: 2020, Volume and Issue: 182(5), P. 1077 - 1092

Published: Aug. 15, 2020

Language: Английский

Citations

623

Petabase-scale sequence alignment catalyses viral discovery DOI Creative Commons
R. C. Edgar,

Brie Taylor,

Victor S.-Y. Lin

et al.

Nature, Journal Year: 2022, Volume and Issue: 602(7895), P. 142 - 147

Published: Jan. 26, 2022

Public databases contain a planetary collection of nucleic acid sequences, but their systematic exploration has been inhibited by lack efficient methods for searching this corpus, which (at the time writing) exceeds 20 petabases and is growing exponentially1. Here we developed cloud computing infrastructure, Serratus, to enable ultra-high-throughput sequence alignment at petabase scale. We searched 5.7 million biologically diverse samples (10.2 petabases) hallmark gene RNA-dependent RNA polymerase identified well over 105 novel viruses, thereby expanding number known species roughly an order magnitude. characterized viruses related coronaviruses, hepatitis delta virus huge phages, respectively, analysed environmental reservoirs. To catalyse ongoing revolution viral discovery, established free comprehensive database these data tools. Expanding diversity can reveal evolutionary origins emerging pathogens improve pathogen surveillance anticipation mitigation future pandemics.

Language: Английский

Citations

388

Identification of novel bat coronaviruses sheds light on the evolutionary origins of SARS-CoV-2 and related viruses DOI Creative Commons
Hong Zhou, Jingkai Ji, Xing Chen

et al.

Cell, Journal Year: 2021, Volume and Issue: 184(17), P. 4380 - 4391.e14

Published: June 9, 2021

Language: Английский

Citations

337

SARS-CoV-2 jumping the species barrier: Zoonotic lessons from SARS, MERS and recent advances to combat this pandemic virus DOI Open Access
Kuldeep Dhama, Shailesh Kumar Patel, Khan Sharun

et al.

Travel Medicine and Infectious Disease, Journal Year: 2020, Volume and Issue: 37, P. 101830 - 101830

Published: Aug. 2, 2020

Language: Английский

Citations

225

Ecology, evolution and spillover of coronaviruses from bats DOI Creative Commons
Manuel Ruiz‐Aravena, Clifton McKee, Amandine Gamble

et al.

Nature Reviews Microbiology, Journal Year: 2021, Volume and Issue: 20(5), P. 299 - 314

Published: Nov. 19, 2021

In the past two decades, three coronaviruses with ancestral origins in bats have emerged and caused widespread outbreaks humans, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since first SARS epidemic 2002–2003, appreciation of as key hosts zoonotic has advanced rapidly. More than 4,000 sequences from 14 bat families been identified, yet true diversity is probably much greater. Given that are likely evolutionary source for several human coronaviruses, strains cause mild upper tract disease, their role historic future pandemics requires ongoing investigation. We review integrate information on bat–coronavirus interactions at molecular, tissue, host population levels. identify critical gaps knowledge which relate to spillover pandemic risk, pathways spillover, infection dynamics within reservoir hosts, prior adaptation intermediate transmission viral genotypes or traits predict capacity potential. Filling these may help prevent next pandemic. Bats harbour a multitude owing wide distribution prime emerging viruses. Ruiz-Aravena, McKee colleagues analyse currently available discuss recent potential spillovers.

Language: Английский

Citations

203

The Origin of COVID-19 and Why It Matters DOI Creative Commons
David M. Morens,

Joel G. Breman,

Charles H. Calisher

et al.

American Journal of Tropical Medicine and Hygiene, Journal Year: 2020, Volume and Issue: 103(3), P. 955 - 959

Published: July 23, 2020

The COVID-19 pandemic is among the deadliest infectious diseases to have emerged in recent history. As with all past pandemics, specific mechanism of its emergence humans remains unknown. Nevertheless, a large body virologic, epidemiologic, veterinary, and ecologic data establishes that new virus, SARS-CoV-2, evolved directly or indirectly from β-coronavirus sarbecovirus (SARS-like virus) group naturally infect bats pangolins Asia Southeast Asia. Scientists warned for decades such sarbecoviruses are poised emerge again again, identified risk factors, argued enhanced prevention control efforts. Unfortunately, few preventive actions were taken resulting latest coronavirus detected late 2019 which quickly spread pandemically. similar outbreaks future high. In addition controlling pandemic, we must undertake vigorous scientific, public health, societal actions, including significantly increased funding basic applied research addressing disease emergence, prevent this tragic history repeating itself.

Language: Английский

Citations

196

Pathogen spillover driven by rapid changes in bat ecology DOI Creative Commons
Peggy Eby, Alison J. Peel, Andrew Hoegh

et al.

Nature, Journal Year: 2022, Volume and Issue: 613(7943), P. 340 - 344

Published: Nov. 16, 2022

During recent decades, pathogens that originated in bats have become an increasing public health concern. A major challenge is to identify how those spill over into human populations generate a pandemic threat

Language: Английский

Citations

156

Universal Coronavirus Vaccines — An Urgent Need DOI Open Access
David M. Morens, Jeffery K. Taubenberger, Anthony S. Fauci

et al.

New England Journal of Medicine, Journal Year: 2021, Volume and Issue: 386(4), P. 297 - 299

Published: Dec. 15, 2021

Language: Английский

Citations

142

Diversity and evolution of the animal virome DOI Creative Commons
Erin Harvey, Edward C. Holmes

Nature Reviews Microbiology, Journal Year: 2022, Volume and Issue: 20(6), P. 321 - 334

Published: Jan. 4, 2022

The COVID-19 pandemic has given the study of virus evolution and ecology new relevance. Although viruses were first identified more than a century ago, we likely know less about their diversity that any other biological entity. Most documented animal have been sampled from just two phyla — Chordata Arthropoda with strong bias towards infect humans or animals economic social importance, often in association disease phenotypes. Fortunately, recent development unbiased metagenomic next-generation sequencing is providing richer view virome shedding light on evolution. In this Review, explore our changing understanding diversity, composition virome. We outline factors determine phylogenetic genomic structure evolutionary timescales show how impacts assessment risk emergence short term. also describe ongoing challenges analysis key themes for future research. A central question major events history animals, such as origin vertebrates periodic mass extinction events, shaped they carry. Harvey Holmes structure, They these impact emergence.

Language: Английский

Citations

135

COVID-19—lessons for zoonotic disease DOI
Edward C. Holmes

Science, Journal Year: 2022, Volume and Issue: 375(6585), P. 1114 - 1115

Published: March 10, 2022

Disease emergence is driven by human-animal contact in a global viral ecosystem.

Language: Английский

Citations

76