Search NASA⌕ Search

DOE OSTI · 2512962

Analysis of RNA viral function from metatranscriptomic reads in drought simulated soils

Abstract

Soil viruses have received increased interest in recent years because of their abundance and unelucidated potential as drivers for organic carbon derived from fungal and bacterial necromass. With decreasing levels of rainfall and climbing instances of unseasonal conditions, it becomes crucial to our goals for negative carbon emissions to understand how soil carbon flux is affected. Here we leveraged metatranscriptomic data from a section of research plot of Hopland Research and Extension in northern California with a suite of viral detection tools: VirSorter, DRAMv, and VContact2. We aimed to cross analyze moisture regiments with viral populations. We find that viral diversity is driven by site, like bacteria. We found that viral diversity at face value showed some differentiation but did not significantly differ by legacy moisture content. Additionally, there was detection of auxiliary metabolic genes in a viral sequence which may further support virus’s direct input into the soil carbon pool.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Qian, Hansen [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)], Honeker, Linnea [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)], Pett-Ridge, J. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]. 2024-12-28. Analysis of RNA viral function from metatranscriptomic reads in drought simulated soils. https://doi.org/10.2172/2512962

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

Water4Energy Step-1 Band-M Ready-to-Train Samples for TVA Weeks-to-Years Prediction, Version 0

AI-ready Band-M (monthly) labelled training pack for the Water4Energy Genesis Task-1 project on weeks-to-years prediction of Tennessee Valley temperature and precipitation. The deposit includes leakage-aware issue-time samples (samples_M_v0.nc; N=486), train-only scalers, issue-time split table, supporting monthly panels, and Python generation scripts to recreate the pack from the companion Tier-1 raw observation collection (https://doi.org/10.13139/ORNLNCCS/3398576). Each sample pairs a 12-month lookback of teleconnection indices and SST box anomalies with TVA-mean ERA5 anomaly targets (t2m, tp, msl) at leads 1–3 months.

54 ENVIRONMENTAL SCIENCES↗

Multi-Angle Snowflake Camera, particle analysis

The c1 level data product for the Mutli-Angle Snowflake Camera contains snowflake fall speeds and particle size, among other analysis for images associated with each hydrometeor.

54 ENVIRONMENTAL SCIENCES↗

Multi-Angle Snowflake Camera, time bins

The c1 level data product for the Mutli-Angle Snowflake Camera contains snowflake fall speeds and particle size, among other analysis for images associated with each hydrometeor.

54 ENVIRONMENTAL SCIENCES↗