Britt Abrahamson

@brittabrahamson.bsky.social

Postdoctoral Fellow | Zakem Lab | Carnegie Science Microbial Ecophysiology (Nitrification & Methanogenesis) | Surf, hike, concerts, read

ICoN10 will be held at KAIST in Daejeon, South Korea from June 6 to 10, 2027! The conference covers all aspects of the nitrogen cycle, from fundamental biochemistry and microbial ecology and microbial ecology to environmental biotechnology and industrial applications.

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New preprint! How do you engineer one of biology’s most complex enzymes without breaking it? We used evolution as a guide to map a protein interface in nitrogenase, screening >9,000 variants to reveal sequence-function rules for future nitrogen fixation engineering. www.biorxiv.org/content/10.6...

Evolution-guided engineering of an ancient nitrogenase interface enhances enzyme activity and stability

Nitrogenase is the only enzyme capable of biological nitrogen fixation and a major target for sustainable agricultural engineering, yet its functional and structural complexity has made it difficult t...

biorxiv.org

Very nice study integrated metagenomics, metatranscriptomics and geochemistry to gain insights into microbial communities and methane production in a temperate wetland ecosystem - journals.asm.org/doi/10.1128/... #MicroSky #MicroEco #EcoEvo

Mapping the soil microbiome functions shaping wetland methane emissions | mSystems

Soil microbial ecology is increasingly recognized as essential to climate mitigation, but realizing its full potential requires shifting from static genome inventories to dynamic assessments of microbial activity. This study shows that methane-cycling microbes exhibit stable, depth-stratified expression patterns, even in response to major redox and flooding shifts, undermining assumptions that water-table manipulations common in wetland management can alone reduce methanogenesis. Instead, methane cycling is shaped by spatially organized, transcriptionally active networks involving not only methanogens but also methanotrophs, fermenters, and iron reducers. These findings expose the limitations of genome-only models and highlight the need for soil diagnostics that capture in situ activity. Together, we provide a foundation for developing activity-based microbiome tools, embedding microbial functions into Earth system models, and designing interventions that move beyond “single-lever” strategies and instead work with the structure and dynamics of microbial communities as complex, layered systems.

journals.asm.org

Our newest out in ISME J showing that microbial copiotrophic traits decline across temperature gradients even as growth rates increase. TLDR; genomic patterns of translation optimization like CUB sometimes better predict ecological strategy than do growth rates themselves.

Cameron Thrash@jcamthrash.bsky.social · 2mo ago

Genomic Traits Associated with Copiotrophy Decouple from Maximum Growth Rate Predictions Along Temperature Gradients academic.oup.com/ismej/advanc... #jcampubs