Rachel H. Parkinson

MetaBeeAI: an AI pipeline for structured evidence extraction from biological literature

MetaBeeAI extracts structured evidence from biological literature using a modular LLM pipeline with expert validation, improving consistency and reproducibility across studies.

Acoustic phenotyping reveals sublethal pesticide stress in bees using BEEhaviourLab

The paper uses acoustic phenotyping with BEEhaviourLab to detect sublethal pesticide stress in bees by analyzing buzzing behavior.

Bumblebees learn to use peripheral taste to predict the presence of nectar in flowers

This study shows bumblebees can detect surface taste cues on artificial flowers and learn to associate them with nectar rewards.

Gustatory sensitivity to amino acids in bumblebees

This study investigates bumblebees' gustatory sensitivity to valine and lysine, finding valine detection at low concentrations but no response to lysine, suggesting receptor specificity.

Do pollinators play a role in shaping the essential amino acids found in nectar?

This study investigates whether pollinators influence the essential amino acid profiles in nectar by testing bumblebee preferences and finding no direct selection pressure but post-ingestive evaluation mechanisms.

Mouthparts of the bumblebee (Bombus terrestris) exhibit poor acuity for the detection of pesticides in nectar

This study shows bumblebees cannot detect or avoid field-relevant pesticide concentrations in nectar using their mouthparts.

Temporal responses of bumblebee gustatoryneurons to sugars

This study shows that bumblebee gustatory receptor neurons encode sugar value through distinct temporal firing patterns, revealing specialized mechanisms for detecting nutritional and toxic sugars.