Putative miR-92a target genes
| Gene name | Flybase ID | RNAi line | PI for nSyb-GAL4 screen | Retest score | p value |
|---|---|---|---|---|---|
| CG12024 | CG12024 | GD-20143 | 0.45 ± 0.02 | ||
| CG8360 | CG8360 | GD-41643 | 0.40 ± 0.08 | ||
| cpr50Ca | CG13338 | KK-100317 | 0.64 ± 0.07 | 0.56 ± 0.08 | 0.15 |
| khc-73 | CG8183 | KK-105984 | 0.38 ± 0.09 | 0.28 ± 0.07 | 0.02* |
| crebA | CG7450 | KK-110650 | 0.37 ± 0.06 | 0.37 ± 0.08 | 0.09 |
Candidate mRNA targets for miR-92a were selected by applying the pipeline described in Figure 5A. Five genes were screened for a role in memory formation using an RNAi approach. The five lines from the Vienna Drosophila RNAi left (https://stockcenter.vdrc.at/control/main) that were tested are listed. RNAi lines were crossed to the nSyb-GAL4 driver and tested for 3-h memory with n = 4. Each individual RNAi line was compared with a daily nSyb-GAL4>UAS-dcr-2 control in the respective GD or KK background. The average performance index for the nSyb-GAL4>UAS-dcr-2 control was 0.36 ± 0.1 for the GD control (n = 4) and 0.49 ± 0.04 for the KK control. Three lines with a trend for a significant effect on memory were retested with n = 6. Only the khc-73 RNAi line, had a PI significantly lower than the control (n = 10). Results shown are the mean ± SEM. Two-tailed, two-sample Student’s t tests, *p < 0.05.