Back

Polygenic viral factors enable efficient mosquito-borne transmission of African Zika virus

Torii, S.; Lord, J. S.; Lavina, M.; Prot, M.; Lecuyer, A.; Diagne, C. T.; Faye, O.; Faye, O.; Sall, A. A.; Bonsall, M. B.; Simon-Loriere, E.; Montagutelli, X.; Lambrechts, L.

2025-01-24 microbiology
10.1101/2025.01.23.634482 bioRxiv
Show abstract

Zika virus (ZIKV) is a mosquito-borne flavivirus primarily transmitted among humans by Aedes aegypti. Over the past two decades, it has caused significant outbreaks associated with birth defects and neurological disorders. Phylogenetically, ZIKV consists of two main genotypes referred to as the African and Asian lineages, each exhibiting distinct biological properties. African lineage strains are transmitted more efficiently by mosquitoes, but pinpointing the genetic basis of this difference has remained challenging. Here, we address this question by comparing recent African and Asian strains using chimeric viruses, in which segments of the parental genomes are swapped. Our results show that the structural genes from the African strain enhance viral internalization, while the non-structural genes improve genome replication and infectious particle production in mosquito cells. In vivo mosquito transmission is most significantly influenced by the structural genes, although no single viral gene alone determines this effect. Additionally, we develop a stochastic model of in vivo viral dynamics in mosquitoes that mirrors the observed patterns, suggesting that the primary difference between the African and Asian strains lies in their ability to traverse the mosquito salivary glands. Overall, our findings suggest that the polygenic nature of ZIKV transmissibility has prevented Asian lineage strains from achieving the same epidemic potential as African lineage strains, underscoring the importance of lineage-specific adaptive landscapes in shaping ZIKV evolution and emergence.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Virus Evolution
140 papers in training set
Top 0.1%
32.0%
2
PLOS Pathogens
721 papers in training set
Top 0.6%
18.1%
50% of probability mass above
3
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 6%
9.8%
4
Journal of Virology
456 papers in training set
Top 1%
6.2%
5
Nature Communications
4913 papers in training set
Top 44%
2.7%
6
eLife
5422 papers in training set
Top 32%
2.7%
7
mBio
750 papers in training set
Top 7%
1.8%
8
PLOS Computational Biology
1633 papers in training set
Top 15%
1.8%
9
PLOS Biology
408 papers in training set
Top 8%
1.8%
10
Cell Reports
1338 papers in training set
Top 22%
1.8%
11
Viruses
318 papers in training set
Top 3%
1.6%
12
Science Advances
1098 papers in training set
Top 19%
1.6%
13
Molecular Biology and Evolution
488 papers in training set
Top 3%
1.4%
14
Evolution, Medicine, and Public Health
14 papers in training set
Top 0.2%
1.3%
15
The Lancet Infectious Diseases
71 papers in training set
Top 2%
1.3%
16
Science
429 papers in training set
Top 17%
1.2%
17
Nature Ecology & Evolution
113 papers in training set
Top 3%
1.1%
18
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 6%
0.8%
19
Journal of The Royal Society Interface
189 papers in training set
Top 4%
0.8%
20
Current Biology
596 papers in training set
Top 14%
0.8%
21
Communications Biology
886 papers in training set
Top 22%
0.8%
22
Nature Microbiology
133 papers in training set
Top 5%
0.7%
23
Cell Systems
167 papers in training set
Top 13%
0.7%
24
iScience
1063 papers in training set
Top 36%
0.7%
25
Vaccines
196 papers in training set
Top 3%
0.6%