Back

A shared pathogen reservoir can tip widespread infection into mass mortality

Billet, L. S.; Skelly, D. K.; Sauer, E. L.

2026-04-21 ecology
10.64898/2026.04.17.719273 bioRxiv
Show abstract

Pathogens that persist subclinically across many wildlife populations can drive mass mortality in others. Mass mortality is often abrupt, and the timing can be difficult to predict from host or habitat features alone. In a recent field study tracking ranavirus epizootics in wood frog (Rana sylvatica) breeding ponds, we found that no environmental or biotic feature reliably predicted die-off occurrence or timing. Instead, the trajectory of viral accumulation in the water column was the strongest dynamic predictor of mass mortality. Infected hosts shed virus throughout epizootics, but the influence of waterborne viral concentration on disease progression was apparent only near die-off onset. This pattern suggests a potential threshold-dependent feedback operating through the shared viral environment. Here, we develop a compartmental model linking waterborne viral concentration to the rate at which subclinical infections progress to clinical, high-shedding states within already-infected hosts. We show that a dose-dependent progression model generates the two-phase epizootic trajectory observed in natural die-offs: prolonged subclinical circulation followed by abrupt clinical transition after environmental virus crosses an escalation threshold. The model exhibits a sharp phase transition between subclinical circulation and mass mortality, governed mainly by the clinical-to-subclinical shedding ratio, host density, and pond volume. Existing explanations for die-off variation emphasize individual-level susceptibility, but our model demonstrates that dose-dependent environmental feedback, a mechanism not previously formalized at the population level, can generate the transition from subclinical infection to mass mortality without invoking individual variation in host susceptibility. This mechanism may apply in any system where hosts share a bounded environment, pathogen dose influences disease severity, and pathogen shedding increases with disease progression.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
The American Naturalist
114 papers in training set
Top 0.2%
8.2%
2
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 0.8%
7.0%
3
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 10%
6.6%
4
Ecology Letters
121 papers in training set
Top 0.2%
6.2%
5
PLOS Computational Biology
1633 papers in training set
Top 6%
6.2%
6
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 0.6%
6.2%
7
eLife
5422 papers in training set
Top 18%
4.7%
8
Ecology
70 papers in training set
Top 0.2%
3.5%
9
Virus Evolution
140 papers in training set
Top 0.4%
3.5%
50% of probability mass above
10
Molecular Ecology
304 papers in training set
Top 2%
3.5%
11
Nature Communications
4913 papers in training set
Top 41%
3.5%
12
Journal of The Royal Society Interface
189 papers in training set
Top 2%
2.5%
13
PLOS ONE
4510 papers in training set
Top 45%
2.5%
14
PLOS Biology
408 papers in training set
Top 7%
2.0%
15
Scientific Reports
3102 papers in training set
Top 52%
2.0%
16
Ecology and Evolution
232 papers in training set
Top 2%
1.8%
17
Journal of Animal Ecology
63 papers in training set
Top 0.6%
1.7%
18
mSystems
361 papers in training set
Top 5%
1.7%
19
Epidemics
104 papers in training set
Top 1%
1.6%
20
PLOS Pathogens
721 papers in training set
Top 6%
1.4%
21
Nature Ecology & Evolution
113 papers in training set
Top 3%
1.3%
22
Viruses
318 papers in training set
Top 4%
1.2%
23
Movement Ecology
18 papers in training set
Top 0.4%
0.9%
24
PeerJ
261 papers in training set
Top 13%
0.9%
25
Science Advances
1098 papers in training set
Top 27%
0.9%
26
Ecosphere
53 papers in training set
Top 0.6%
0.9%
27
BMC Biology
248 papers in training set
Top 4%
0.8%
28
Evolution
199 papers in training set
Top 2%
0.8%
29
Peer Community Journal
254 papers in training set
Top 4%
0.7%
30
Theoretical Ecology
21 papers in training set
Top 0.2%
0.7%