Back

Hawaiian Geothermal Fumaroles Contain Diverse and Novel Viruses

Sen, P.; Oliver, L.; Makarova, K. S.; Wolf, Y. I.; Pavloudi, C.; Shlafstein, M.; Saw, J. H.

2026-04-07 microbiology
10.64898/2026.04.06.716669 bioRxiv
Show abstract

Microbial communities of geothermal habitats are central to understanding the evolution of life on Earth. Metagenomics has provided insight into the role of viruses in shaping microbial diversity of complex environments. However, identification of novel viruses is constrained by lack of marker genes and low nucleotide similarities between related viral taxa. While microbial and viral diversity have been explored in terrestrial hot springs and hydrothermal vent systems, other volcanic features remain underexplored. Fumaroles (steam vents) are geothermal features that heat groundwater with magma, releasing steam and volcanic gases such as CO2 and H2S. Comparatively physicochemically dynamic to hot springs, fumarole temperatures and gas emissions rapidly fluctuate with volcanic activity. Here, we describe viruses identified metagenomically from microbial mats hosted near basaltic fumaroles on the Big Island of Hawai`i. To our knowledge, this is the first systematic survey of fumarole viruses. Our utilization of a sensitive profile-based approach for identification reveals high viral diversity in fumaroles, resulting in estimation of two undescribed order-level clades of Caudoviricetes (tailed phages). Viral metabolic genes provide evidence of viral-mediated adaptation of microbes to fumarole conditions. We describe patterns of viral diversity that diverge from the Bank model of viral ecology, hinting at viral dispersal between biofilms and high viral richness and evenness. Lastly, we provide a description of the first terrestrial geothermal environment dominated by Microviridae, previously only described in viral communities of deep ocean hydrothermal vents. This study offers important findings for exploration of viral ecology in extreme environments.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
mSystems
361 papers in training set
Top 0.3%
14.5%
2
Microbiome
139 papers in training set
Top 0.1%
14.1%
3
ISME Communications
103 papers in training set
Top 0.1%
9.0%
4
The ISME Journal
194 papers in training set
Top 0.2%
8.3%
5
Frontiers in Microbiology
375 papers in training set
Top 0.8%
8.1%
50% of probability mass above
6
mBio
750 papers in training set
Top 3%
6.3%
7
Environmental Microbiology
119 papers in training set
Top 0.4%
6.2%
8
Viruses
318 papers in training set
Top 2%
3.5%
9
PLOS ONE
4510 papers in training set
Top 45%
2.6%
10
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 28%
2.1%
11
Applied and Environmental Microbiology
301 papers in training set
Top 2%
1.9%
12
Nature Communications
4913 papers in training set
Top 49%
1.9%
13
Scientific Reports
3102 papers in training set
Top 56%
1.8%
14
Environmental Microbiome
26 papers in training set
Top 0.2%
1.7%
15
mSphere
281 papers in training set
Top 4%
1.2%
16
Cell Reports
1338 papers in training set
Top 30%
0.9%
17
Communications Earth & Environment
14 papers in training set
Top 0.7%
0.9%
18
FEMS Microbiology Ecology
47 papers in training set
Top 0.4%
0.9%
19
Environmental Science & Technology
64 papers in training set
Top 2%
0.7%
20
iScience
1063 papers in training set
Top 33%
0.7%
21
npj Biofilms and Microbiomes
56 papers in training set
Top 2%
0.7%
22
Environmental Microbiology Reports
27 papers in training set
Top 0.9%
0.6%
23
Nature Ecology & Evolution
113 papers in training set
Top 5%
0.6%