It is well established that infection patterns in nature can be driven by host, vector, and symbiont communities. One of the first stages in understanding how these complex systems have influenced the incidence of vector-borne diseases is to recognize what are the major vertebrate (i.e., hosts) and invertebrate (i.e., vectors) host species that propagate those microbes. Such identification opens the possibility to identify such essential species to develop targeted preventive efforts.
Methods:
The goal of this study, which relies on a compilation of a global database based on published literature, is to identify relevant host species in the global transmission of mosquito-borne flaviviruses, such as West Nile virus, St. Louis virus, Dengue virus, and Zika virus, which pose a concern to animal and public health.
Results:
The analysis of the resulting database involving 1174 vertebrate host species and 46 reported vector species allowed us to establish association networks between these species. Three host species (Mus musculus, Sapajus flavius, Sapajus libidinosus, etc.) have a much larger centrality values, suggesting that they play a key role in flavivirus community interactions.
Conclusion:
The methods used and the species detected as relevant in the network provide new knowledge and consistency that could aid health officials in rethinking prevention and control strategies with a focus on viral communities and their interactions. Other infectious diseases that harm animal and human health could benefit from such network techniques.
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References
1.
AbbateJL, EzenwaVO, GuéganJF, et al.Disentangling complex parasite interactions: Protection against cerebral malaria by one helminth species is jeopardized by co-infection with another. PLoS Negl Trop Dis, 2018; 12(5):e0006483; doi: 10.1371/journal.pntd.0006483
2.
AlmendeBV, ThieurmelB. VisNetwork: Network Visualization Using ‘vis.Js' Library. R Package Version 02. 2016; p. 1. Available from: https://cran.r-project.org/web/packages/visNetwork/index.html
3.
BeckerDJ, StreickerDG, AltizerS. Using host species traits to understand the consequences of resource provisioning for host–parasite interactions. J Anim Ecol, 2018; 87(2):511–525; doi: 10.1111/1365-2656.12765
4.
BollingBG, Olea-PopelkaFJ, EisenL, et al.Transmission dynamics of an insect-specific flavivirus in a naturally infected Culex pipiens laboratory colony and effects of co-infection on vector competence for West Nile virus. Virology, 2012; 427(2):90–97; doi: 10.1016/j.virol.2012.02.016
5.
BollingBG, WeaverSC, TeshRB, et al.Insect-specific virus discovery: Significance for the arbovirus community. Viruses, 2015; 7(9):4911–4928; doi: 10.3390/v7092851
6.
ButtsCT.Network: A package for managing relational data in R. J Stat Softw, 2008; 24(2):1–36; doi: 10.1863/7/jss.v024.i02
7.
CooperN, GriffinR, FranzM, et al.Phylogenetic host specificity and understanding parasite sharing in primates. Ecol Lett, 2012; 15(12):1370–1377; doi: 10.1111/j.1461-0248.2012.01858.x
8.
CrockettRK, BurkhalterK, MeadD, et al.Culex flavivirus and West Nile virus in Culex quinquefasciatus populations in the southeastern United States. J Med Entomol, 2012; 49(1):165–174; doi: 10.1603/me11080
9.
CsárdiG, NepuszT. The Igraph software package for complex network research. InterJournal Complex Syst, 2006; 1695:1695.
10.
DallasT, PresleySJ. Relative importance of host environment, transmission potential and host phylogeny to the structure of parasite metacommunities. Oikos, 2014; 123(7):866–874; doi: 10.1111/oik.00707
EgoscueHJ.Flea exchange between deer mice and some associated. Gt Basin Nat, 1976; 36(4):475–480.
13.
ErazoD, GottdenkerNL, GonzálezC, et al.Generalist host species drive Trypanosoma cruzi vector infection in oil palm plantations in the Orinoco region, Colombia. Parasites Vectors, 2019; 12(1):1–12; doi: 10.1186/s13071-019-3519-3
14.
Farfan-AleJA, LoronMA, Garcia-RejonJE, et al.Detection of flaviviruses and orthobunyaviruses in mosquitoes in the Yucatan Peninsula of Mexico in 2008. Vector Borne Zoonotic Dis, 2010; 10(8):777–783.
15.
Fernández-SalasI, Garza-RodríguezMDL, BeatyBJ. Presence of West Nile virus in northeastern Mexico [in Spanish]. Salud publica de México, 2007; 49(3):210–217.
16.
FowlerM, CubasZ. Biology, Medicine and Surgery of South American Wild Animals. Iowa State University Press: Iowa; 2001; doi: 10.1002/9780470376980
17.
GublerD.The global emergence/resurgence of arboviral diseases as public health problems. Arch Med Res, 2002; 33:330–342; doi: 10.1016/s0188-4409(02)00378-8
18.
GuerboisM, Fernandez-salasI, AzarSR, et al.Outbreak of Zika virus infection, Chiapas State, Mexico, 2015, and first confirmed transmission by Aedes aegypti mosquitoes in the Americas. I Infect Dis, 2016; 214:1349–1356; doi: 10.1093/infdis/jiw302
19.
HaydonDT, CleavelandS, TaylorLH, et al.Identifying reservoirs of infection: A conceptual and practical challenge. Emerg Infect Dis, 2002; 8(12):1468–1473; doi: 10.3201/eid0812.010317
20.
HessG.Disease in metapopulation models: Implications for conservation. Ecology, 1996; 77(5):1617–1632; doi: 10.2307/2265556
21.
HolmeP.Three faces of node importance in network epidemiology: Exact results for small graphs. Phys Rev E, 2017; 96(6):062305; doi: 10.1103/PhysRevE.96.062305
22.
HoltRD, DobsonAP, BegonM, et al.Parasite establishment in host communities. Ecol Lett, 2003; 6(9):837–842; doi: 10.1046/j.1461-0248.2003.00501.x
23.
HoyosJ, CarrasquillaMC, LeónC, et al.Host selection pattern and flavivirus screening of mosquitoes in a disturbed Colombian rainforest. Sci Rep, 2021; 11(1):1–12; doi: 10.1038/s41598-021-98076-8
24.
Ibáñez-BernalS, BriseñoB, MutebiJP, et al.First record in America of Aedes albopictus naturally infected with Dengue virus during the 1995 outbreak at Reynosa, Mexico. Med Vet Entomol, 1997; 11(4):305–309.
25.
JohnsonPTJ, De RoodeJC, FentonA. Why infectious disease research needs community ecology. Science (80-), 2015; 349(6252):1259504; doi: 10.1126/science.1259504
26.
LukeDA, HarrisJK. Network analysis in public health: History, methods, and applications. Annu Rev Public Health, 2007; 28:69–93; doi: 10.1146/annurev.publhealth.28.021406.144132
27.
Martínez-LópezB, PerezAM, Sánchez-VizcaínoJM. Social network analysis. review of general concepts and use in preventive veterinary medicine. Transbound Emerg Dis, 2009; 56(4):109–120; doi: 10.1111/j.1865-1682.2009.01073.x
28.
MihaljevicJR.Linking metacommunity theory and symbiont evolutionary ecology. Trends Ecol Evol, 2012; 27(6):323–329; doi: 10.1016/j.tree.2012.01.011
29.
NewmanCM, CeruttiF, AndersonTK, et al.Culex flavivirus and West Nile virus mosquito coinfection and positive ecological association in Chicago, United States. Vector Borne Zoonotic Dis, 2011; 11(8):1099–1105; doi: 10.1089/vbz.2010.0144
30.
NewmanMEJ.Networks: An Introduction. Oxford University: Oxford; 2014; doi: 10.1007/978-3-319-03518-5-8
31.
Nieto-RabielaF, SuzánG, WiratsudakulA, et al.Viral metacommunities associated to bats and rodents at different spatial scales. Community Ecol, 2018; 19(2):168–175; doi: 10.1556/168.2018.19.2.9
32.
Nieto-RabielaF, WiratsudakulA, SuzánG, et al.Viral networks and detection of potential zoonotic viruses in bats and rodents: A worldwide analysis. Zoonoses Public Health, 2019; 66(6):655–666; doi: 10.1111/zph.12618
33.
Pastor-SatorrasR, CastellanoC, Van MieghemP, et al.Epidemic processes in complex networks. arXiv Preprint, 2014; 61; doi: 10.1103/RevModPhys.87.925
34.
R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing: Vienna, Austria; 2017. Available from: https://www.R-project.org/.
35.
RocheB, RohaniP, DobsonAP, et al.The impact of community organization on vector-borne pathogens. Am Nat, 2013; 181(1):1–11; doi: 10.1086/668591
36.
RoddamAW.Mathematical epidemiology of infectious diseases: Model building, analysis and interpretation. Int J Epidemiol, 2001; 30(1):186–186; doi: 10.1093/ije/30.1.186
37.
RynkiewiczEC, PedersenAB, FentonA. An ecosystem approach to understanding and managing within-host parasite community dynamics. Trends Parasitol, 2015; 31(5):212–221; doi: 10.1016/j.pt.2015.02.005
38.
Salas-BenitoJS, De Nova-OcampoM. Viral interference and persistence in mosquito-borne flaviviruses. J Immunol Res, 2015; 2015:873404; doi: 10.1155/2015/873404
39.
SeabloomEW, BorerET, GrossK, et al.The community ecology of pathogens: Coinfection, coexistence and community composition. Ecol Lett, 2015; 18(4):401–415; doi: 10.1111/ele.12418
40.
SoberE, SteelM. Similarities as evidence for common ancestry: A likelihood epistemology. Br J Philos Sci, 2017; 68(3):617–638; doi: 10.1093/bjps/axv052
41.
Sotomayor-BonillaJ, Del Callejo-CanalE, González-SalazarC, et al.Using data mining and network analysis to infer arboviral dynamics: The case of mosquito-borne flaviviruses reported in Mexico. Insects, 2021; 12(5):398; doi: 10.3390/insects12050398
42.
TaylorLH, LathamSM, WoolhouseMEJ. Risk factors for human disease emergence. Philos Trans R Soc B Biol Sci, 2001; 356(1411):983–989; doi: 10.1098/rstb.2001.0888
43.
WeaverSC, BarrettADT. Transmission cycles, host range, evolution and emergence of arboviral disease. Nat Rev Microbiol, 2004; 2(10):789–801; doi: 10.1038/nrmicro1006
44.
WhitakerJr., JO, RitziCM, DickCW. Collecting and preserving bat ectoparasites for ecological study. In: Ecological and Behavioral Methods for the Study of Bats (Kunz TH, Parsons S. eds.) The Johns Hopkins Univerity Press: Maryland; 2009; pp. 806–827.
45.
WoolhouseME, TaylorLH, HaydonDT. Population biology of multihost pathogens. Science (80-), 2001; 292(5519):1109–1112; doi: 10.1126/science.1059026
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