| Literature DB >> 32183319 |
Ayodeji Olayemi1, Elisabeth Fichet-Calvet2.
Abstract
Ever since it was established that rodents serve as reservoirs of the zoonotic Lassa virus (LASV), scientists have sought to answer the questions: which populations of rodents carry the virus? How do fluctuations in LASV prevalence and rodent abundance influence Lassa fever outbreaks in humans? What does it take for the virus to adopt additional rodent hosts, proliferating what already are devastating cycles of rodent-to-human transmission? In this review, we examine key aspects of research involving the biology of rodents that affect their role as LASV reservoirs, including phylogeography, demography, virus evolution, and host switching. We discuss how this knowledge can help control Lassa fever and suggest further areas for investigation.Entities:
Keywords: Lassa fever; Lassa virus; endemic hotspots; phylogeography; rodent abundance; rodent reservoirs; virus evolution
Mesh:
Year: 2020 PMID: 32183319 PMCID: PMC7150792 DOI: 10.3390/v12030312
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.048
Figure 1Lassa virus (LASV) lineages (in red) and arenaviruses (in purple) detected in rodents across Western Africa (with host species indicated in italics and connected by dashed lines to corresponding viruses). Endemic foci for Lassa fever are shaded in grey. Respective country names appear within the map in bold black.
Figure 2Distribution of the 4 host species: Mastomys natalensis, Mastomys erythroleucus, Hylomyscus pamfi, and Mus (Nannomys) baoulei in Africa with their main traits of life. The information was compiled from [4,5,12,13,24,25,26,30,33,34,35,36,37,38] and personal data.
Figure 3Time-calibrated phylogenetic analysis of LASV in humans (in black), Mastomys natalensis (in green), Mastomys erythroleucus (in orange), Hylomyscus pamfi (in blue), and Mus baoulei (in pink). The tree is rooted with the Gbagroube virus found in Mus setulosus (in pink). Statistical support of grouping from Bayesian posterior probabilities is indicated at the node. Country, strain name, GenBank accession numbers, and day of collection are indicated on the labels. Scale bar indicates time in years. The analysis was inferred by using the Bayesian Markov Chain Monte Carlo (MCMC) method implemented in BEAST software [48]. The following settings were used: GTR+gamma with codon partition 1,2,3, strict clock and constant population. MCMC chains were run for 10 million states and sampled every 10,000 states to obtain an effective sample size above 200 for all the parameters. (A) The tree is based on the complete nucleoprotein NP gene (1710 nucleotides), including 48 taxa. (B) The tree is based on the partial glycoprotein GP gene (910 nucleotides), including 67 taxa, in particular those from M. natalensis in the Edo state and those from H. pamfi in the Osun state. Sequences used for these analyses were published in [5,12,24,28,29,45,46,49,50,51,52,53,54] as well as in Jahrling et al., Direct Submission, GenBank.