Soil virus life-strategy conversion and implications for ecosystem and soil functions
Data files
Mar 11, 2026 version files 213.10 KB
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README.md
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Table_S1._The_dataset_of_soil_virus_and_soil_physicochemical_properties_in_different_soil_ecosystems.csv
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Table_S3._Environmental_thresholds_that_regulate_the_transformation_of_the_soil_viral_life_cycle.csv
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Table_S4._Correlation_between_soil_viral_properties_and_soil_physicochemical_variables.csv
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Abstract
Both viral abundance and life state vary across contrasting soil environments and are crucial for mediating microbial metabolism and soil functions. Yet, why soil viruses favor the lytic or lysogenic cycle in a given soil environment, and to what extent they affect soil functions, remains unclear. In this review, we constructed a soil virus abundance dataset containing 691 samples, which for the first time included the lysogenic fraction index to quantify the proportion of soil viruses in the lysogenic state. Moreover, we have assessed the distribution and key drivers of soil viral properties based on 21 soil physicochemical indicators. We also systematically summarized three molecular mechanisms regulating viral lysis-lysogenic transformations that are believed to be widespread in soil environments. We propose a conceptual framework for a transition threshold of viral life strategies based on existing experimental evidence. When environmental stress falls below the critical tolerance level of soil microbes, soil viruses facilitate stress relief. However, once stress exceeds the microbial tolerance threshold, the soil viruses transition to another life cycle, such as from the lysogenic to lytic state. This transition results in completely different effects on microbial metabolic systems and associated soil functions. Further, we documented the role of soil viruses in soil ecosystem functions, highlighting in particular, the importance of the “viral shuttle” and “virovory” mechanisms for soil carbon sequestration and complementary One Health functions. Finally, we provide our perspective on future research needs to advance our understanding of soil virology and its impact on soil functions.
Dataset DOI: 10.5061/dryad.jdfn2z3px
Description of the data and file structure
Data collection
An extensive literature search was conducted in the Web-of-Science database collecting citations up to September 2023 using the keywords: "soil or terrestrial" and "phage or bacteriophage or virus or virocell or lysogeny" and "virus abundance or virus-to-microbial cell ratio or virus-to-prokaryote ratio or virus-to-bacterium ratio or VPR or VBR or VMR". Related literature was also collected from the references contained within the acquired publications. The resulting 207 publications were further filtered according to the following criteria: (1) only papers containing absolute abundance of soil viruses were selected; studies with relative abundance by bioinformatic analysis were excluded; (2) only viruses in field soils were selected, and articles quantifying single mode viruses were removed; and (3) in microcosm experiments, only data in the control group were selected, and data in treatment groups or cultured with medium were excluded. A total of 691 data points on soil virus properties from 35 publications were included in the present study (See the Data).
The dataset included information on 21 soil physicochemical properties (e.g., soil pH, soil moisture, soil organic carbon, total nitrogen, total phosphorus, sand and clay content, etc.). To compare virus properties in different soil ecosystems, data were classified into seven main groups: grassland (N=97), agricultural land (N=255), forest (N=121), wetland (N=18), hot desert (N=24), cold desert (N=6), tundra (N=150) and other (N=20). We note that previous studies have shown that viruses are highly diverse in hot and cold deserts (Williamson et al. 2017). Thus, we divided the desert data into two categories (hot and cold) according to temperature. Data from publications that did not specify a particular ecosystem, or ecosystem types with too little data, were compiled into the “other” group and were not shown in figures or used for further analysis.
Files and variables
File:
Table_S1._The_dataset_of_soil_virus_and_soil_physicochemical_properties_in_different_soil_ecosystems.csv
Table_S3._Environmental_thresholds_that_regulate_the_transformation_of_the_soil_viral_life_cycle.csv
Table_S4._Correlation_between_soil_viral_properties_and_soil_physicochemical_variables.csv
Description:
Table_S1._The_dataset_of_soil_virus_and_soil_physicochemical_properties_in_different_soil_ecosystems
Number: The number of the dataset.
Reference: References for the data source.
Location: The sampled location of the data.
Longitude and latitude: The longitude and latitude of the sampling sites.
Soil type: Soil types of the data.
Sampling time: The sampling time of the data.
Method: Methods for measuring the abundance of viruses
Viral abundance: The abundance of soil viruses.
SE: Error bar.
Microbial abundance: The abundance of soil microbes.
FIC(%): The fraction of infected microbial cells.
FVIC(%): The fraction of visibly infected microbial cells.
FMVL(%): The fraction of microbial mortality caused by soil viruses.
VMR: The ratio of virus to microbes.
Lysogenic fraction (%): The lysogenic fraction of soil viruses.
BZ: Burst size of infected microbes
VIBM(%): virus-induced microbial mortality.
EFM: Fluorescence microscope
TEM: Transmission electron microscopy
FCM: Flow cytometry
Table_S3._Environmental_thresholds_that_regulate_the_transformation_of_the_soil_viral_life_cycle
The environmental thresholds that regulate the transformation of the soil viral life cycle.
Table_S4._Correlation_between_soil_viral_properties_and_soil_physicochemical_variables
The correlation coefficient between soil viral properties and soil physicochemical variables, with asterisks indicating significant correlation.
C/N: The ratio of carbon and nitrogen
NH4+: Ammonium nitrogen
NO3-: Nitrate nitrogen
Access information
Other publicly accessible locations of the data:
- These data have been published in the Global Change Biology (2025; 31:e70460) https://doi.org/10.1111/gcb.70460.
Data was derived from the following sources:
- No.
