bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.03.30.715357

SIP-enabled multi-omics reveals soil microbiome responses to drought and rehydration

Abstract

The activity of the soil microbiome, and its balance of anabolic (organic C consuming) and catabolic (CO2-releasing) reactions, determines the magnitude and direction of soil carbon fluxes. Over half a century of research has revealed that soil water dynamics are key controllers of microbial activity. With increasing hydroclimate volatility expected across many regions of the Earth, there is a greater need to describe and quantify microbial responses to drought and rehydration cycles. In this study, we conducted rainfall exclusion experiments at two archetypical Mediterranean-type field sites. After rainfall exclusion and subsequent soil rehydration, we applied a SIP-enabled, multi-omics methodology to generate a multi-faceted case study of microbial growth, greenhouse gas fluxes, and the forms of carbon that drive both. Our results indicate that rehydration increases microbial anabolic processes by orders of magnitude, shifting cell generation times from years to days within just minutes. High-intensity drought increases the lag period before microbial growth resumes, but both stable-isotope probing and metagenomic inference agree that microbial communities exhibit greater capacity for rapid growth following drought stress. Furthermore, significant shifts in the soil metabolome are observed following drought and rehydration, implicating specific osmolytes as key to the microbial response and indicating metabolite diversity as a key modulator of microbiome functioning. Together, our results provide constraints on microbial activity rates in soil and mechanisms underpinning microbial responses to drought and rewetting. These findings motivate further research into microbial responses under increasingly volatile hydroclimate regimes and downstream contributions to the global carbon cycle. Significance StatementSoil is a major global store and source of carbon. The microbiome determine the fate of soil organic carbon, and the microbiome is ultimately controlled by soil water dynamics. Early, innovative experiments by H.F. Birch defined "The Birch Effect" - the observation that soils emit CO2 following drying and subsequent rehydration. However, it remains unclear when, and to what magnitude, soil microorganisms are actively growing following this rehydration, and what biological mechanisms explain the observed CO2 pulse. In this work, we apply an array of methodologies to address this question, describing rates of microbial growth during drought and rewetting. Our results provide crucial insights into how soil microbiomes will respond to increasing hydroclimate volatility across the globe.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Caro, T. A., Arriaga, J. I., Grossman, E., Jhatro, A., Stewart, B., Sessions, A., Karthikeyan, S.. 2026-03-31. SIP-enabled multi-omics reveals soil microbiome responses to drought and rehydration. https://doi.org/10.64898/2026.03.30.715357

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

KEEP EXPLORING

Related preprints

Reverse Transcription Loop-Mediated Isothermal Amplification Combined with Lateral Flow Assay (RT-LAMP-LFA) for Rapid Detection of the 2026 Bundibugyo Virus (BDBV) Outbreak Strain

Making accurate diagnosis is a critical first step in patient management and control for emerging and re-emerging disease outbreaks. Bundibugyo virus (BDBV) is a filovirus that causes Ebola disease, and the 2026 outbreak highlights the need for rapid diagnostic approaches that can be deployed in settings with limited laboratory infrastructure. Here, we developed a reverse transcription loop-mediated isothermal amplification-lateral flow assay (RT-LAMP-LFA) for rapid detection of the 2026 BDBV outbreak strain. LAMP primers were designed based on the genome sequence of the 2026 outbreak strain, and the conservation of the primer binding sites among all available 2026 outbreak genomes was confirmed in silico. LAMP primers were evaluated for analytical specificity and sensitivity using in vitro-transcribed RNA (ivtRNA) from BDBV and other filoviruses, as well as RNA derived from arboviruses and mammalian cells. Amplification products were detected using a Chromatography-Printed Array Strip (C-PAS) lateral flow platform. The newly designed primers specifically detected the presence of BDBV RNA without nonspecific amplification of the other viral or cellular RNA samples tested. Consistent amplification was observed down to 103 copies per reaction. In addition, BDBV viral RNA was successfully amplified, and the amplification products were detected using C-PAS, with the total workflow being completed within 25 min. These findings demonstrate the analytical specificity and sensitivity of the developed RT-LAMP-LFA assay and its compatibility with rapid visual lateral flow detection, supporting its potential application as a point-of-care approach for BDBV detection.

microbiology↗

Divergent methane production and microbial community responses to carbon enrichment in freshwater wetland sediments

Methane (CH4) accumulation in wetland sediments reflects interactions among organic matter, sediment chemistry, and microbial communities. We combined depth-resolved field characterization across four wetland habitats in northern Israel with complementary incubations to examine methane accumulation and responses to labile-carbon enrichment. Sediment cores were characterized using Rock-Eval analysis, porewater chemistry, oxygen profiling at three sites, and mcrA amplicon sequencing. High CH4 concentrations occurred under contrasting conditions: Ein Nimfit (EN) contained approximately 12% total organic carbon and reached 2.1 mM CH4, whereas Ein Afek site EA2 contained approximately 5% carbon and accumulated 0.7-1.7 mM CH4. Both showed sulfate depletion, but EN exhibited pronounced sulfide accumulation, whereas EA2 showed greater dissolved iron and nutrient enrichment. Their classified methanogenic assemblages also differed. EA1 remained methane poor despite increasing carbon content with depth, while EA3 combined low carbon content and CH4 accumulation with detectable methanogens and lower methanogenic diversity. In a 36-day bottle experiments using sediments from two of the four wetland habitats, sucrose-amended EA3 exhibited a transient maximum of 18.8 mmol collected CH4 kg-1 wet sediment during Days 22-29, whereas EN reached its highest collected amount during Days 29-36. Methane proportions increased before the large output increase in EA3 but remained comparatively stable and high in EN. Soluble chemical oxygen demand trajectories and microbial community changes also differed. These findings identify distinct biogeochemical settings supporting methane accumulation and demonstrate methanogenic potential in low-CH4 sediment, emphasizing the complementary information provided by field profiles, microbial characterization, and exploratory enrichment experiments.

microbiology↗

The absence of microbiome in germ-free mice exacerbates the pathogenicity of mouse-adapted SARS-CoV-2 MA10

Germ-free mice, which are devoid of microbiota, provide a powerful system to define the contribution of the microbiome to host responses during infection. Severe COVID-19 outcomes are associated with multiple comorbidities that are themselves characterized by microbiome dysbiosis; however, the causal role of the microbiota in SARS-CoV-2 pathogenesis remains poorly understood. Here, we use germ-free mouse models to evaluate the impact of the microbiome on disease severity following infection with mouse-adapted SARS-CoV-2 MA10. Comparison with conventionally housed mice revealed that the absence of the microbiome markedly exacerbates SARS-CoV-2-induced disease in both C57BL/6 and Swiss Webster backgrounds. Germ-free mice exhibited greater weight loss, impaired lung function, worsened pulmonary pathology, and pronounced alterations in circulating cytokine and chemokine profiles compared with conventional controls. These findings show that resident microbiota limit SARS-CoV-2 pathogenicity and establish germ-free COVID-19 models as a powerful platform to identify protective microbial taxa and microbiota-based interventions to reduce severe disease.

microbiology↗