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Preliminary insights into the genetics of bank vole tolerance to Puumala hantavirus in Sweden : XXXX
- Source :
- Ecology and Evolution, Vol. 8, no.22, p. 11273-11292 (2018), Ecology and Evolution, Ecology and Evolution, Wiley Open Access, 2018, 8, ⟨10.1002/ece3.4603⟩, Ecology and Evolution 22 (8), 11273-11292. (2018), Ecology and Evolution, Wiley Open Access, 2018, 8 (22), pp.11273-11292. ⟨10.1002/ece3.4603⟩, Ecology and Evolution, 2018, 8 (22), pp.11273-11292. ⟨10.1002/ece3.4603⟩
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- International audience; Natural reservoirs of zoonotic pathogens generally seem to be capable of tolerating infections. Tolerance and its underlying mechanisms remain difficult to assess using experiments or wildlife surveys. High-throughput sequencing technologies give the opportunity to investigate the genetic bases of tolerance, and the variability of its mechanisms in natural populations. In particular, population genomics may provide preliminary insights into the genes shaping tolerance and potentially influencing epidemiological dynamics. Here, we addressed these questions in the bank vole Myodes glareolus, the specific asymptomatic reservoir host of Puumala hantavirus (PUUV), which causes nephropathia epidemica (NE) in humans. Despite the continuous spatial distribution of M. glareolus in Sweden, NE is endemic to the northern part of the country. Northern bank vole populations in Sweden might exhibit tolerance strategies as a result of coadaptation with PUUV. This may favor the circulation and maintenance of PUUV and lead to high spatial risk of NE in northern Sweden. We performed a genome-scan study to detect signatures of selection potentially correlated with spatial variations in tolerance to PUUV. We analyzed six bank vole populations from Sweden, sampled from northern NE-endemic to southern NE-free areas. We combined candidate gene analyses (Tlr4, Tlr7, and Mx2 genes) and high-through-put sequencing of restriction site-associated DNA (RAD) markers. Outlier loci showed high levels of genetic differentiation and significant associations with environmental data including variations in the regional number of NE human cases. Among the 108 outliers that matched to mouse protein-coding genes, 14 corresponded to immune-related genes. The main biological pathways found to be significantly enriched corresponded to immune processes and responses to hantavirus, including the regulation of cytokine productions, TLR cascades, and IL-7, VEGF, and JAK-STAT signaling. In the future, genome-scan replicates and functional experimentations should enable to assess the role of these biological pathways in M. glareolus tolerance to PUUV.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Candidate gene
Evolution
selection
adaptation
RAD sequencing
010603 evolutionary biology
01 natural sciences
molecular epidemiology
hantavirus
Population genomics
03 medical and health sciences
Behavior and Systematics
Biologie animale
Nephropathia epidemica
medicine
Gene
Ecology, Evolution, Behavior and Systematics
Original Research
Hantavirus
Nature and Landscape Conservation
Genetics
Animal biology
tolerance
[SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE]
Molecular epidemiology
biology
Ecology
[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]
immunity
voles
biology.organism_classification
medicine.disease
Bank vole
030104 developmental biology
Adaptation
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Subjects
Details
- Language :
- English
- ISSN :
- 20457758
- Database :
- OpenAIRE
- Journal :
- Ecology and Evolution, Vol. 8, no.22, p. 11273-11292 (2018), Ecology and Evolution, Ecology and Evolution, Wiley Open Access, 2018, 8, ⟨10.1002/ece3.4603⟩, Ecology and Evolution 22 (8), 11273-11292. (2018), Ecology and Evolution, Wiley Open Access, 2018, 8 (22), pp.11273-11292. ⟨10.1002/ece3.4603⟩, Ecology and Evolution, 2018, 8 (22), pp.11273-11292. ⟨10.1002/ece3.4603⟩
- Accession number :
- edsair.doi.dedup.....db81bd73edda5d48b671abec1e3f9a87