Back

Deer tick virus genotypes are perpetuated by different modes of transmission

Goethert, H. K.; O'Callahan, A.; Johnson, R.; Telford, S.

2026-03-23 ecology
10.64898/2026.03.20.713216 bioRxiv
Show abstract

Deer tick virus (DTV), or lineage II Powassan virus, is an emergent tick-borne encephalitis virus in North America. Survivors frequently sustain neurologic sequelae. Nationally reported cases have been increasing. DTV is thought to be maintained in nature by multiple modes including horizontal transmission (from viremic host to tick), cofeeding transmission (between ticks feeding nearby) and by transovarial transmission (female to progeny). Analysis of the relative importance of each mode has been hindered by low enzootic transmission. In 2021, Marthas Vineyard, Massachusetts experienced an epizootic that allowed us to probe the modes of transmission on the island. We detected virus in 7.8% of questing deer tick nymphs (161 of 2063) and in 0.3% of lone star nymphs (2 of 678). Infected ticks had a highly focal distribution; 56% of infected ticks derived from only 4 of 71 collection sites. Tick mitochondrial genome sequencing demonstrated that infected ticks were not more likely to be siblings than negative ticks and, therefore, were unlikely to have inherited the infection. Whole viral genome sequencing revealed the presence of 3 genotypes, 58% were type1, 0.6% type2, and 13.7% type3. Tick host bloodmeal identification analyses determined that nymphs infected with type1 were significantly associated with having fed on shrews (50 of 94 type1 ticks, odds ratio=2.3, p<0.001). This is consistent with shrews serving as a reservoir. Ticks infected with type3, however, had no host associations, consistent with infection acquired by cofeeding. It may be that local DTV genetic variation is shaped by transmission modes or host associations. ImportanceDeer tick virus (DTV; Powassan lineage II) is a tick-borne encephalitis virus that causes a rare zoonosis in North America. Cases have been increasingly reported within the last decade. Is the recent risk trend due to increased transmission? How this virus is perpetuated in nature is not well understood. We took advantage of a natural epizootic on Marthas Vineyard to probe how the ticks there had become infected. Using a combination of viral whole genome sequencing and bloodmeal remnant identification in ticks, we find that the mode of transmission varied by viral genotype. One genotype is associated with ticks that had fed on shrews, and another did not depend on a specific reservoir host. Host associations may drive genetic diversity of deer tick virus and thus local host population dynamics may influence zoonotic risk.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Journal of Virology
456 papers in training set
Top 0.5%
12.1%
2
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 6%
9.9%
3
mSphere
281 papers in training set
Top 0.4%
8.3%
4
mBio
750 papers in training set
Top 2%
7.0%
5
Nature Communications
4913 papers in training set
Top 30%
6.3%
6
PLOS Pathogens
721 papers in training set
Top 3%
4.8%
7
PLOS Biology
408 papers in training set
Top 2%
4.1%
50% of probability mass above
8
eLife
5422 papers in training set
Top 23%
3.9%
9
The Lancet Microbe
43 papers in training set
Top 0.2%
3.6%
10
Virus Evolution
140 papers in training set
Top 0.4%
3.5%
11
PLOS Neglected Tropical Diseases
378 papers in training set
Top 2%
3.5%
12
Scientific Reports
3102 papers in training set
Top 47%
2.4%
13
Viruses
318 papers in training set
Top 2%
2.0%
14
PLOS ONE
4510 papers in training set
Top 49%
2.0%
15
Molecular Ecology
304 papers in training set
Top 2%
1.9%
16
Science
429 papers in training set
Top 15%
1.6%
17
Virology
56 papers in training set
Top 0.5%
1.2%
18
Ticks and Tick-borne Diseases
11 papers in training set
Top 0.2%
1.1%
19
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 5%
1.1%
20
Journal of General Virology
46 papers in training set
Top 0.6%
0.9%
21
Frontiers in Virology
15 papers in training set
Top 0.1%
0.9%
22
Science Advances
1098 papers in training set
Top 28%
0.8%
23
Communications Biology
886 papers in training set
Top 22%
0.8%
24
mSystems
361 papers in training set
Top 7%
0.8%
25
Emerging Microbes & Infections
74 papers in training set
Top 2%
0.7%
26
Nature Microbiology
133 papers in training set
Top 5%
0.7%
27
Current Biology
596 papers in training set
Top 15%
0.7%
28
Nature Ecology & Evolution
113 papers in training set
Top 5%
0.7%
29
Frontiers in Microbiology
375 papers in training set
Top 10%
0.6%