five

Transcriptomic and epigenomic profiling of Betula platyphylla leaves

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NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP640268
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This project investigates the molecular mechanisms by which symbiotic microbes contribute to the heat resilience of trees, specifically focusing on white birch (Betula platyphylla). As rising global temperatures threaten forest ecosystems, understanding these adaptive processes is critical.The study integrates ecological surveys with controlled multi-omics analyses to determine how endophytic fungi enhance thermal tolerance in birch. The central hypothesis is that fungal inoculation promotes an "epigenetic priming" state, enabling a more rapid and effective gene activation response upon heat challenge.To elucidate these regulatory mechanisms, this project generated a comprehensive multi-omics dataset from birch leaf tissue under control and heat stress conditions, with and without fungal endophyte inoculation. The submitted data includes:Transcriptome profiling (RNA-seq)Chromatin accessibility mapping (ATAC-seq)Active histone modification profiling (H3K27ac CUT&Tag)This dataset provides a valuable resource for connecting macroecological patterns to molecular mechanisms, aiming to identify the transcriptional and epigenetic basis for microbe-mediated heat adaptation in trees.
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2025-12-29
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