
Molecular Ecology, Год журнала: 2024, Номер unknown
Опубликована: Дек. 13, 2024
ABSTRACT Organisms in nature are subjected to a variety of stressors, often simultaneously. Foremost among stressors key pollinators pathogens, poor nutrition and climate change. Landscape transcriptomics can be used decipher the relative role provided there unique signatures stress that reliably detected field specimens. In this study, we identify biomarkers bumble bee ( Bombus impatiens ) responses by first subjecting bees various short‐term (cold, heat, pathogen challenge) laboratory setting assessing their transcriptome responses. Using random forest classification on whole data, were able discriminate each stressor. Our best model (tissue‐specific trained subset important genes) correctly predicted known with 92% accuracy. We then applied wild‐caught sampled across heatwave event at two sites central Pennsylvania, US, expected differ baseline temperature floral resource availability. Transcriptomes during heat wave's peak showed stress, while collected relatively cooler morning periods starvation cold stress. failed pick up signals shortly after heatwave, suggesting set is more useful for identifying acute than long‐term monitoring chronic, landscape‐level stressors. highlight future directions fine‐tune landscape towards development better both conservation improving understanding stressor impacts bees.
Язык: Английский