Opportunity Overview
Aims: 1) To characterize how stressors affect the immediate cognitive behaviours during pollination 2) To determine the time course of these effects in relation to the duration and frequency of stress 3) To investigate the neurochemicals underlying the stress response in bees
Methodology: We will use behavioural assays called judgement bias tests that evaluate bee responses post-stress to ambiguous sources of reward. These classic tests for welfare have rarely been used with bees, but ongoing work in the PI's lab has used the approach to show cognitive biases in bees. These tests will characterize the time course of the response as well as the effect of stress duration and frequency (Years 1 and 2). Machine-learning based approaches using DeepLabCut, a Python-based open source software, will be used to characterize behaviour including changes in reward consumption and persistence on flowers (Year 2). To understand the mechanisms underlying these changes, work in the second supervisor's lab will investigate changes to the expression of dopamine and serotonin receptors in the brain at the level of both RNA (with qPCRs) and protein (with brain immunostaining and imaging) (Years 3 and 4)....
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Start FreeSolicitation Details
| Issuing agency | BBSRC |
|---|---|
| Country | United Kingdom |
| Category | Research Development |
| Published | September 30, 2023 |
| Procurement stage | Active solicitation |
| Response due | December 17, 2027 |
| Status | Open — accepting responses |
| Official source | View original notice |
| Last verified | August 09, 2026 |
Source: UK Research and Innovation (UKRI) — Open Government Licence v3.0.
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