This study develops a hierarchical model to estimate climate impacts on sockeye salmon productivity across life stages and regions, finding varying sensitivity to environmental changes.

bioRxiv · Aug 27, 2026 · PreprintEcology

Deep6: Classification of Metatranscriptomic Sequences into Cellular Empires and Viral Realms Using Deep Learning Models

Jan F. Finke, Colleen T. E. Kellogg, Curtis A. Suttle

Deep6 classifies metatranscriptomic sequences into cellular empires and viral realms using deep learning, achieving high accuracy across different sequence lengths.

Microbiology Resource Announcements · Jan 18, 2023Peer-reviewedBioinformatics

Metatranscriptomics reveals a shift in microbial community composition and function during summer months in a coastal marine environment

Ben J. G. Sutherland, Jan F. Finke, Robert Saunders, Snehal Warne, Angela D. Schulze, Jeff H. T. Strohm, Amy M. Chan, Curtis A. Suttle, Kristina M. Miller

The paper uses metatranscriptomics to study microbial community shifts in coastal waters, finding seasonal changes in composition and function linked to temperature and pCO2.

Environmental DNA · Sep 7, 2022Peer-reviewedGenetics

Re-examining the relationship between virus and microbial cell abundances in the global oceans

Charles H. Wigington, Derek L. Sonderegger, Corina P.D. Brussaard, Alison Buchan, Jan F. Finke, Jed Fuhrman, Jay T. Lennon, Mathias Middelboe, Curtis A. Suttle, Charles Stock, William H. Wilson, K. Eric Wommack, Steven W. Wilhelm, Joshua S. Weitz

This study re-examines the relationship between virus and microbial cell abundances in the ocean, finding that virus-to-prokaryote ratios vary nonlinearly and are better described by power-law functions than fixed ratios.

Nature Microbiology · Jan 25, 2016Peer-reviewedEcology