P. Wilson

Genetic network analysis uncovers spatial variation in diversity and connectivity of a species presenting a continuous distribution

The paper develops a framework combining genetic network analysis and population genetics to assess connectivity and diversity in woodland caribou with continuous distributions, revealing isolation by distance and genetic erosion at range boundaries.

Investigating the impact of X-rays on decay: X-ray computed tomography as a non-invasive visualisation technique for sediment-based decay experiments

This study tests the impact of X-ray computed tomography (XCT) on decay of Danio rerio carcasses in sediment, finding no deviation in decay sequence and validating XCT as a non-destructive visualization method.

The expression of congenital Shoc2 variants induces AKT-dependent feedback activation of the ERK1/2 pathway

This study shows that Shoc2 variants associated with NSLH alter ERK1/2 phosphorylation levels depending on AKT pathway activation, revealing a feedback mechanism in EGFR signaling.

A standard protocol to report discrete stage-structured demographic information

The paper identifies issues in reporting matrix population models (MPMs) and introduces a standardized protocol to improve reproducibility and clarity in their presentation.

More sustainable vegetable oil: balancing productivity with carbon storage opportunities

This study re-analyzes global vegetable oil production systems to assess GHG emissions and identifies strategies to reduce emissions while increasing productivity.

Novel epitopes of human monoclonal antibodies targeting the influenza virus N1 neuraminidase

This study identifies novel epitopes of human monoclonal antibodies targeting the influenza virus N1 neuraminidase and characterizes escape mutations and their impact on viral fitness.

Biochemical Patterns of Antibody Polyreactivity Revealed Through a Bioinformatics-Based Analysis of CDR Loops

The paper identifies biochemical determinants of antibody polyreactivity using a bioinformatics pipeline and develops a classifier with over 75% accuracy.