Lateralization of gene expression in the honeybee brain during olfactory learning

Scientific Reports, Oct 2016

In the last decade, it has been demonstrated that brain functional asymmetry occurs not only in vertebrates but also in invertebrates. However, the mechanisms underlying functional asymmetry remain unclear. In the present study, we trained honeybees of the same parentage and age, on the proboscis extension reflex (PER) paradigm with only one antenna in use. The comparisons of gene expression between the left and right hemispheres were carried out using high throughput sequencing. Our research revealed that gene expression in the honeybee brain is also asymmetric, with more genes having higher expression in the right hemisphere than the left hemisphere. Our studies show that during olfactory learning, the left hemisphere is more responsible for long term memory and the right hemisphere is more responsible for the learning and short term memory.

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Lateralization of gene expression in the honeybee brain during olfactory learning

Lateralization of gene expression in the honeybee brain during olfactory learning Yu Guo Zilong Wang You Li Guifeng Wei JiaoYuan Yu Sun Huan Wang Qiuhong Qin Zhijiang Zeng Shaowu Zhang Runsheng Chen OPEN In the last decade, it has been demonstrated that brain functional asymmetry occurs not only in vertebrates but also in invertebrates. However, the mechanisms underlying functional asymmetry remain unclear. In the present study, we trained honeybees of the same parentage and age, on the proboscis extension reflex (PER) paradigm with only one antenna in use. The comparisons of gene expression between the left and right hemispheres were carried out using high throughput sequencing. Our research revealed that gene expression in the honeybee brain is also asymmetric, with more genes having higher expression in the right hemisphere than the left hemisphere. Our studies show that during olfactory learning, the left hemisphere is more responsible for long term memory and the right hemisphere is more responsible for the learning and short term memory. - Lateralization of olfactory learning in the honeybee Apis mellifera has been demonstrated by Letzkus et al.1 and Rogers et al.2, who trained bees on the proboscis extension reflex (PER) paradigm with only one antenna in use3. The honeybee displayed a clear laterality in response to learned odors. Specifically, bees responded better to odors when they were trained through their right antenna1. Rogers et al. trained bees using both antennae, and found that at 1–2 hours after training memory recall was probable mainly via the right antenna, but from 6 hours after training a lateral shift occurred and the memory was recalled mainly via the left antenna2. The anatomy of the honeybee brain showed there were different types of neural connections between the mushroom body (MB) and other protocerebral areas of the honeybee’s brain. They were ( 1 ) unilateral neurons, with projection fields restricted to the ipsilateral protocerebrum; ( 2 ) recurrent neurons, which interconnect subcompartments of the MB, forming loops at different levels of the neuropil; and ( 3 ) bilateral neurons, which either interconnect both alpha-lobes or connect the ipsilateral alpha-lobe and protocerebral lobe with the dorsolateral protocerebral lobe of the contralateral hemisphere. It would seem that the right antenna and the associated neural structures form the basis for a short term and relatively temporary memory, and left antenna supports long-term memory, taking place from about 3 hours after training on4. Left-right asymmetry of olfaction was also found in bumblebees, Bombus terrestris5. Lateralization had also been observed in visual learning of honeybees. By training honeybees on a modified version of a visual proboscis extension reflex task, it was found that bees learned a color stimulus better with their right eye6. Rogers’ team7 has shown that honeybees display a strong lateral preference for using their right antenna in social interactions. McNeill and Robinson8 found that an immediate early gene, c-jun, have an asymmetric expression in the honeybee brain during the PER paradigm. Other invertebrate species have also shown lateralization in olfactory learning, visual learning and other behaviors9–14. However, unlike in vertebrates, the asymmetries of invertebrate brains have not yet been well studied2. The olfactory sensors of Apis mellifera have been shown to possess significant differences between the right and left antenna1. These differences might contribute to the lateralization of the olfactory learning, but it is unclear whether a whole genome study of gene expression would also show asymmetry between the two hemispheres of the honeybee brain. To further study the possible asymmetry of the honeybee brain in learning and memory, we trained honeybees on the PER paradigm, and determined the expression levels of mRNAs and microRNAs in the two brain hemispheres with high throughput sequencing15. To minimize the effects of the genetic background, we used a single drone inseminated (SDI) queen to set up the colony, which ensured a higher genetic similarity among the workers. To further minimize the differences between individuals, we used a special technique developed by Zhang et al.1 at the Australian National University, by which we were able to train the left and right hemispheres of each individual bee separately, and then make a comparison between the two hemispheres of the same bees. Results Right antenna training induces higher learning and memory ability. The PER paradigm was performed on the honeybees with one of their antenna covered by a silicone compound. The experiment was carried out on three groups. One group had their left antenna covered (LAC), the second group had their right antenna covered (RAC), and a third group with both of their antennae left uncovered constituted the control (Control), and was not trained with the PER paradigm (Fig. 1a). For the two antenna covered groups and the control group, we have done several independent experiments. Each time, for the LAC and RAC group, we trained about 90 workers, about 20 bees passed the memory recall test and were sampled. Finally, heads of 112 bees in the LAC group and 104 in the RAC group were sampled. The control groups were also sampled from several independent experiments, and 140 untrained bees were sampled. These sampled bees were divided into two biological replicates for total RNA extraction. Lemon + sugar water was used as the positive stimulus (reward), while vanilla + salt water was used as the negative stimulus (punishment) to perform the PER paradigm on the bees (Fig. 1b). In the retention test, bees giving a correct response to the positive stimulus and not giving a response to the negative stimulus were considered as having learned the two stimuli and passed the test. Bees which passed the test were dissected to obtain the two hemispheres of their brains. The left and right hemispheres were dealt with separately in the high throughput sequencing process. During the training, we found that the ratio of bees passing the retention test to the number of bees alive at 24 hours was significantly different between the LAC and RAC group (p value <0.1, by the chi-square test) (Table 1). Bees in the LAC group were better at memory retention. This result was consistent with the previous study of Letzkus et al.1 but not with that of Rogers and Vallortigara et al.2. The difference is that Letzkus et al. and we covered one antenna before training and kept the antenna covered during testing at 24 hours, whereas Rogers LAC RAC Control Trained 442 554 and Vallortigara trained bees without covering the antennae and covered one antenna only before testing recall at 1–2 hours or 24 hours. This latter procedure showed a shift from right to left antenna in the recall of the memory. Hence, it is only when the bee is forced to learn using one antenna and asked to recall using that same antenna that the left antenna seems to have no role in the memory recall. Gene expression in the two hemispheres is asymmetric. We define a differentially expressed protein-coding gene (DEG) as a gene that shows more than 2-fold change (p-value <0.05) in expression between two compared states or conditions. We first examined the expression levels of all protein-coding genes in the control group, and found 1038 DEGs between the two brain hemispheres16,17, of which 353 had higher expression in the left hemisphere, and 685 had higher expression in the right hemisphere (Fig. 2a). Thus, among the DEGs considerably more genes showed the highest expression in the right hemisphere. In order to validate these results, quantitative reverse transcription PCR (qRT-PCR) were performed on 4 of the DEGs in the control group. The results of the qRT-PCRs confirmed the results obtained by high throughput sequencing (Fig. 2e). We next tried to obtain an indication of to what extent the control group DEGs might be involved in learning and memory tasks. To this end we retrieved the sequences of all 2528 genes annotated with the term “Learning or memory” in the Gene Ontology (GO) database. Gene Ontology is the framework for the model of biology. The GO defines terms used to describe gene function, and relationships between these concepts. By sequence alignment, we found 320 honeybee genes that are homologues of these learning or memory associated genes, and defined these as “learning or memory” genes. Among the control group DEGs, there were 11 “learning or memory” genes, 9 and 2 being more highly expressed in the right and left hemispheres, respectively (Fig. 2b). One of these was acetylcholinesterase 1(AChE-1), which is a key enzyme in cholinergic nerve conduction and was significantly up-regulated in the right hemisphere. AChE-1 can rapidly hydrolyze the neurotransmitter acetylcholine to terminate cholinergic neurotransmission and maintain the sensitivity of nerve impulse conduction18. In accordance with the above, we further defined a differentially expressed microRNA (DE-miRNA) as a microRNA that showing more than 2-fold change in expression. A comparison of the microRNA expression in the control group showed that, of the 222 microRNA genes that have been annotated in Apis mellifera19,20, 83 were identified as differentially expressed between the two brain hemispheres. Of these, 24 and 59 showed the highest expression in right and left hemispheres, respectively, thus presenting an overall picture opposite to that found for the mRNAs (Fig. 2c). The miRanda software21–23 was used to predict mRNA targets of DE-miRNAs. The result showed that among the targets of DE-miRNAs with lower expression in the left hemisphere, there were 28 DEGs with higher expression in this hemisphere, and similarly among the targets of DE-miRNAs with lower expression in the right hemisphere, there were 143 DEGs with higher expression in this hemisphere. The data also allowed for a comparison of the expression of long noncoding RNAs (lncRNAs) in the honeybee brain. Analysis of the control group data showed that 467 of the 3999 annotated lncRNAs in the honeybee genome24 were expressed in the brain. Of these, 178 lncRNAs had a more than 2-fold change between the two brain hemispheres, 58 with higher expression in the left hemisphere, and 120 with higher expression in the right hemisphere (Fig. 2d). Gene Ontology analysis of DEGs in the control group. Using the ‘reciprocal best hit’ method25,26, we identified all genes in the honeybee genome that had a possible fruit fly orthologue. Of the 353 and 685 DEGs that were up-regulated in the left and right brain hemispheres, respectively, of the control group, 149 and 217 genes had possible orthologues in the fruit fly. GO analysis was performed on these genes. The results showed that an enrichment of genes annotated with “system development”, especially “nervous system development”, and “signaling” among the DEGs with higher expression in the left hemisphere, while among DEGs with higher expression in the right there were more genes annotated with “biological regulation” and “regulation of biological process” (Fig. 2f,g)27,28. Whole brain expression of protein-coding genes after training. We next moved the analysis to gene expression in the brains of the trained bees. In order to first obtain an estimate of whole brain gene expression, we took the average FPKM of each gene in the left and right brain hemispheres of bees in the same training group as the whole brain expression of this gene in this group. When comparing to the control group, there were 3080 DEGs in the LAC group and 1293 DEGs in the RAC group. In the LAC group, the number of up-regulated DEGs (relative to control brains) was higher than the number of down-regulated DEGs while the opposite was the case in the RAC group (Table 2). Changes in gene expression are significantly different in the two hemispheres. We subsequently examined the changes in gene expression between the brain hemispheres within the two trained groups. For each group, the gene expression in each brain hemisphere was compared to the corresponding brain hemisphere of the LL up LL down LR up LR down RL up RL down RR up RR down DE-miRNAs All predicted targets Corresponding DEGs Shared Percentage 55 2946 1517 243 50 5056 2697 987 18 3107 1541 380 DE-miRNAs All predicted targets Corresponding “learning or memory” genes Shared Percentage LL up 55 2946 14 7 LL down 50 5056 88 47 LR up 18 3107 28 9 50.00% 53.41% 32.14% 16.42% 34.29% 35.71% 33.33% 5.00% the right hemisphere of the RAC group, there were 1533 DEGs when compared to the right hemisphere of the control group, and also for this hemisphere there were more down-regulated (967) than up-regulated (566) genes. Thus, for the RAC group, there was a higher number of genes with reduced than with increased expression after training in both hemispheres (Fig. 3b). We also made a similar comparison between the hemispheres of trained and control groups for the 320 “learning or memory” genes. The results resembled those obtained for all protein-coding genes, with the exception that for the right hemisphere of the RAC group the number of up-regulated genes was higher than the number of down-regulated genes (Fig. 3c). However, as the number of DEGs within this selection of genes was not large, we are uncertain as to the significance of this observation. When microRNA expression was examined in the same way, there were notable differences compared to the results obtained for protein-coding genes. For both the LAC and RAC groups, the number of DE-miRNAs relative to the same hemispheres of control brains, was significantly higher in the left than the right hemisphere. The number of DE-miRNAs in the left hemispheres of the LAC and RAC groups were 105 and 103, respectively (Fig. 3d), and of these, 81 were the same in both groups. The numbers of up-regulated and down-regulated microRNAs in the left hemisphere were about the same. In the right hemispheres of both groups, the number of DE-microRNAs were lower, 24 and 36 for the LAC and RAC groups, respectively, and the numbers of up-regulated DE-microRNAs relative to control were considerably higher than the numbers of down-regulated DE-miRNAs. The same comparison between brain hemispheres of trained and control bees carried out for the lncRNAs returned trends similar to those found for protein-coding genes (Fig. 3e) (Table S1). Many DEGs are predicted targets of DE-miRNAs in LAC and RAC groups. We predicted targets of the DE-miRNAs in the LAC and RAC groups, and compared the predicted target genes with DEGs having opposite expression in the same group (Table 3). The result showed that many DEGs were predicted to be a target of DE-miRNAs, overall, these target DEGs showed a similar expression pattern in the two hemispheres to that of the protein-coding genes, indicating that regulation of microRNA might be one of the main reason causing asymmetric expression of protein-coding genes in the two hemispheres. Of the 320 “learning or memory” genes, 207 were predicted to be a target of at least one DE-miRNA. The ratio of differentially expressed “learning or memory” genes to the target of corresponding DE-miRNAs are even higher (Table 4), indicating that learning and memory process in honeybee is widely regulated by microRNAs. Some particular genes reported to play important roles in signal transduction pathways, were found both as DEGs and as a target of the DE-miRNAs. These included as Tyr1 (tyrosine 1), GABA receptor β, nAChRb1 (nicotinic acetylcholine receptor beta1 subunit), muscarinic acetylcholine receptor, 5-HT2 β (5-hydroxytryptamine receptor beta), and octopamine receptor 1 (Table S2). Discussion Increasing evidence suggests that brain lateralization is not only a vertebrate phenomenon, but also occurs in invertebrates29,30. In the honeybee, lateralization of olfactory learning, visual learning and social behavior have been demonstrated1,6,7. The mechanism underlying the lateralization is not clear, and we consequently designed the reported experiment to investigate the molecular correlates of bee brain lateralization. Our study is the first to investigate differences in gene expression between the two brain hemispheres of the honeybee. We found that about 6% of the protein-coding genes have a more than 2-fold change in expression level between the two hemispheres, and that a higher number of the differentially expressed genes were up-regulated in the right brain hemisphere. In contrast, there were more microRNAs having higher expression in the left hemisphere. The commonly established function of microRNAs is that of suppressors of protein-coding genes, and it may therefore be unsurprising that most up-regulated DE-miRNAs were found in the brain hemisphere with most down-regulated protein-coding DEGs, and vice versa. The observed differences in gene expression between the two hemispheres indicate that there must be sort of relationship between lateralization of behavior and the gene expression in the brain. Previous studies have shown that the overall gene expression level of the whole brain is down-regulated after learning and memory25,31,32. This down-regulation is thought to be caused by the formation of long term potentiation (LTP)25. In vertebrates, such as mice, it has been reported that LTP takes place more in the left hemisphere than the right hemisphere33. In our experiment, only the RAC group showed overall down-regulation of gene expression (indicative of LTP) at the whole brain level when the bees were trained on an olfactory associative task with only one antenna in use. When the brain hemispheres were considered separately, this down-regulation was only in the RAC group, especially in the left hemisphere. It is thus possible that in the honeybee, long term potentiation is more restricted to the left hemisphere during olfactory learning. The down-regulation of protein-coding genes in LTP is thought to be partially mediated via time-dependent regulation of microRNA expression25,33. In our experiment, we found that many DEGs, especially “learning or memory” genes, were predicted to be the target of corresponding DE-miRNAs, which suggested that microRNAs were involved in learning and memory. The fact that there were more microRNAs having higher expression and more DE-miRNAs in the left than in the right hemisphere indicates that the influence of microRNAs may mainly exist in the left hemisphere. Rogers and Vallortigara found a shift in olfactory memory recall from the right antenna to the left antenna, and they also assumed that the long-term memory is more associated with the left hemisphere2. In their experiment, bees trained with the right antenna showed better performance only when the memory recall was done 1 h after training, which they took to indicate that the right hemisphere is better at learning and short term memory. In contrast to our experiments, in which training and memory recall test were completed with the corresponding antenna covered, both antenna were left uncovered during the whole paradigm in their experiment. As memory acquisition is a prerequisite for LTP, the preference in the right hemisphere for memory acquisition takes precedence over the preference in the left hemisphere of the LTP, thus, the final result obtained in our experiment, even though our memory recall test were done fully 24 h after training, was that training with the right antenna produced better memory retention. The left and right hemispheres of the human brain are different in function34,35, and the same phenomenon has been reported in many higher animals29,30. Our experiments support the existence of functional differences between the brain hemispheres in Apis mellifera, and suggest that the lateralization of honeybee behavior may be a reflection of the gene expression patterns in the brain hemispheres. Specifically, we found that in the process of learning or memory, the gene expression patterns of the two hemispheres were quite different. We hypothesize that during olfactory learning, there is a functional division between the two brain hemispheres, the left hemisphere being more responsible for long term memory, and the right hemisphere being more responsible for the learning and short term memory. We will in the future carry out further in-depth studies, hoping to elucidate the molecular mechanisms of this phenomenon in more detail. Materials and Methods Experimental bees. The Apis mellifera worker bees used in this study were sampled from the Honeybee Research Institute, Jiangxi Agricultural University, China (28.46°N, 115.49°E), according to standard beekeeping techniques. In order to ensure a highly similar genetic background among the workers and reduce the variation caused by individual differences, one colony headed by an artificially single drone inseminated (SDI) queen was set up. To ensure that the bees used in our experiment were of the same age, bee combs containing several hundred prepupae were packaged in a nylon net in the evening. The next morning the newly emerged bees were gathered into rectangular boxes, and then maintained in an incubator at a constant temperature of 34 °C in a light-dark cycle of 12 hours light and 12 hours dark. The bees were fed with 1M sucrose and pollen three times daily. After one week, they were removed from the box to be used for experiments. PER experiment. The PER experiment began on the morning of the eighth day after the emergence of the worker bees. The experimental procedure closely followed those of Letzkus1 and one of our previous studies31. Details are provided in the Supplementary Materials and Methods. Brain dissection. The brains were dissected from the sampled honeybee heads using a sharp razor blade in normal saline (137 mmol/L NaCl, 2.7 mmol/L KCl, 10 mmol/L Na2HPO4, 2 mmol/L KH2PO4) in a 4 °C environment. Immediately after dissection, the brain was divided into left and right halves along the mid axis of the mushroom bodies, and each brain half was collected into a 1.5 ml RNase-free eppendorf tube on dry ice, and subsequently stored at −80 °C until further use. RNA isolation and cDNA library preparation for Illumina Solexa sequencing. For each group, the sampled heads were randomly divided into two portions as two biological replicates, then the brain tissues were dissected for RNA isolation. For each biological replicate, both total RNA and microRNA were isolated. Total RNA was isolated using the Invitrogen Trizol kit. MicroRNA libraries were constructed using the Illumina TruSeq small RNA sample preparation kit, and mRNA libraries were constructed using the Illumina mRNA-Seq 8 sample kit. The sequencing process was carried out on the Illumina Hiseq2000 platform, and the raw data was collected according to the standard Illumina Solexa pipeline. Sequencing Data analysis. The mRNA-seq data was treated using the cufflinks v2.2.1 workflow36. First, we aligned the reads with TopHat to the Apis mellifera genome, assembly Amel_4.5. Second, aligned transcripts were assembled with Cufflinks, then the transcripts were merged to the final transcriptome assembly using the Official Gene Set OGSv3.2 as a reference genome annotation, and finally cuffdiff was performed to calculate the FPKM (fragments per kilobase per million mapped reads). As to potential miRNAs, we removed the adaptors as the first step. Reads of 18–30 nt length were kept and compared with the microRNA data of Apis mellifera in the mirBASE ( by blast. The RPM (reads per million) were calculated as a measure of the expression levels of the microRNAs. Validation of high throughput sequencing data results by qRT-PCR. The honeybees were sampled from another SDI colony, and their brains were dissected and divided into left and right halves according to the above method. Total RNAs were isolated from these brain tissues using the Invitrogen Trizol kit. The SuperScript III reverse transcriptase was employed to synthesize the first-strand cDNA. qPCR analysis was performed with 0.5 μL cDNA as template in a 20 μL reaction volumes using SYBR green master mixture on the Rotor-Gene® Q real-time cycler (Qiagen). Ribosomal protein L8(RPL8) was chosen as an internal control. The expression levels of each gene were normalized to RPL8 and relative expression was calculated by the delta-delta Ct method. The primer sequences are provided in Supplementary Materials and Methods. Homologous genes analysis. Putative orthologous genes between fruit fly and honeybee were identified using the “reciprocal best hit” method26. The learning or memory genes were compared with the list of all genes annotated with the GO term “learning or memory” using blastp directly between the peptide sequences. Homologous lncRNAs were identified by blast against the Noncode database 4.0( Functional predictions for the homologous lncRNAs were also obtained from the Noncode database 4.0. microRNA target prediction. miRanda was used to predict targets of the honeybee microRNAs. Potential targets with a max score of more than 155 were selected for further analysis. Acknowledgements We thank Dr. Geir Skogerboe, Dr. Jianjun Luo and Dr. Aung Si for helpful suggestions for improvements of the manuscript, and Professor Yong Cao for providing the silicon compound for covering the antenna. This work was supported by Chinese Academy of Science Strategic Project of Leading Science and Technology (XDA01020402), the National High Technology Research and Development Program (“863” Program) of China (2012AA020402 and 2012AA02A202), the Earmarked Fund for China Agriculture Research System (No. CARS‐45‐KXJ12), the National Natural Science Foundation of China (No. 31260524) and the Research Fund for the Doctoral Program of Higher Education of China (No. 20123603120005). Author Contributions S.Z., R.C. and Z.Z. conceived the experiments. Z.W., Y.L., H.W. and Q.Q. performed the PER experiment and the dissection of the honeybee brains. Y.G., G.W., Y.S. and J.Y. constructed the cDNA library for high throughput sequencing and the data analysis. Additional Information Supplementary information accompanies this paper at Competing financial interests: The authors declare no competing financial interests. How to cite this article: Guo, Y. et al. Lateralization of gene expression in the honeybee brain during olfactory learning. Sci. Rep. 6, 34727; doi: 10.1038/srep34727 (2016). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit 1. Letzkus , P. et al. Lateralization of olfaction in the honeybee Apis mellifera . Current biology: CB 16 , 1471 - 1476 , doi: 10.1016/j. cub. 2006 . 05 .060 ( 2006 ). 2. Rogers , L. J. & Vallortigara , G. From antenna to antenna: lateral shift of olfactory memory recall by honeybees . Plos One 3 , e2340, doi: 10.1371/journal.pone. 0002340 ( 2008 ). 3. Kuwabara , K. Bildung des bedingten Reflexes von Pavlovs Typus bei der Honigbiene, Apis mellifica . J Fac Sci Hokkaido Univ Ser VI Zool ( 1957 ). 4. Rybak , J. & Menzel , R. Anatomy of the mushroom bodies in the honey bee brain: the neuronal connections of the alpha-lobe . The Journal of comparative neurology 334 , 444 - 465 , doi: 10.1002/cne.903340309 ( 1993 ). 5. Anfora , G. et al. Lateralization in the invertebrate brain: left-right asymmetry of olfaction in bumble bee, Bombus terrestris . Plos One 6 , e18903, doi: 10.1371/journal.pone. 0018903 ( 2011 ). 6. Letzkus , P. , Boeddeker , N. , Wood , J. T. , Zhang , S. W. & Srinivasan , M. V. Lateralization of visual learning in the honeybee . Biol Letters 4 , 16 - 18 , doi: 10.1098/rsbl. 2007 . 0466 ( 2008 ). 7. Rogers , L. J. , Rigosi , E. , Frasnelli , E. & Vallortigara , G. A right antenna for social behaviour in honeybees . Scientific reports 3 , 2045 , doi: 10.1038/srep02045 ( 2013 ). 8. McNeill , M. S. & Robinson , G. E. Voxel-based analysis of the immediate early gene, c-jun, in the honey bee brain after a sucrose stimulus . Insect molecular biology 24 , 377 - 390 , doi: 10.1111/imb.12165 ( 2015 ). 9. Frasnelli , E. , Vallortigara , G. & Rogers , L. J. Left-right asymmetries of behaviour and nervous system in invertebrates . Neurosci Biobehav R 36 , 1273 - 1291 , doi: 10.1016/j.neubiorev. 2012 . 02 .006 ( 2012 ). 10. Byrne , R. A. , Kuba , M. & Griebel , U. Lateral asymmetry of eye use in Octopus vulgaris . Anim Behav 64 , 461 - 468 , doi: 10.1006/ anbe. 2002 . 3089 ( 2002 ). 11. Davison , A. et al. Mating behaviour in Lymnaea stagnalis pond snails is a maternally inherited, lateralized trait . Biol Letters 5 , 20 - 22 , doi: 10.1098/rsbl. 2008 . 0528 ( 2009 ). 12. Ades , C. & Ramires , E. N. Asymmetry of leg use during prey handling in the spider Scytodes globula (Scytodidae) . J Insect Behav 15 , 563 - 570 , doi: Unsp 0892-7553/02/0700-0563/0, doi: 10.1023/A: 1016337418472 ( 2002 ). 13. Kight , S. L. , Steelman , L. , Coffey , G. , Lucente , J. & Castillo , M. Evidence of population-level lateralized behaviour in giant water bugs, Belostoma flumineum Say (Heteroptera : Belostomatidae): T-maze turning is left biased . Behav Process 79 , 66 - 69 , doi: 10.1016/j. beproc. 2008 . 04 .001 ( 2008 ). 14. Cooper , R. , Nudo , N. , Gonzalez , J. M. , Vinson , S. B. & Liang , H. Side-Dominance of Periplaneta americana Persists Through Antenna Amputation . J Insect Behav 24 , 175 - 185 , doi: 10.1007/s10905-010-9246- 4 ( 2011 ). 15. Aquino , I. S. , Abramson , C. I. , Soares , A. E. , Fernandes , A. C. & Benbassat , D. Classical conditioning of proboscis extension in harnessed Africanized honey bee queens (Apis mellifera L.) . Psychological reports 94 , 1221 - 1231 , doi: 10.2466/pr0. 94 . 3c . 1221 - 1231 ( 2004 ). 16. Munoz-Torres , M. C. et al. Hymenoptera Genome Database: integrated community resources for insect species of the order Hymenoptera . Nucleic acids research 39, D658 - D662 , doi: 10.1093/nar/gkq1145 ( 2011 ). 17. Gramates , L. S. Insights into social insects from the genome of the honeybee Apis mellifera (vol 443 , pg 931, 2006 ). Nature 444 , 512 - 512 , doi: 10.1038/Nature05400 ( 2006 ). 18. Massoulie , J. , Pezzementi , L. , Bon , S. , Krejci , E. & Vallette , F. M. Molecular and Cellular Biology of Cholinesterases. Prog Neurobiol 41 , 31 - 91 , doi: 10.1016/ 0301 - 0082 ( 93 ) 90040 - Y ( 1993 ). 19. Kozomara , A. & Griffiths-Jones , S. miRBase: annotating high confidence microRNAs using deep sequencing data . Nucleic acids research 42, D68 - D73 , doi: 10.1093/nar/gkt1181 ( 2014 ). 20. Kozomara , A. & Griffiths-Jones , S. miRBase: integrating microRNA annotation and deep-sequencing data . Nucleic acids research 39, D152 - D157 , doi: 10.1093/nar/gkq1027 ( 2011 ). 21. Enright , A. J. et al. MicroRNA targets in Drosophila. Genome Biol 5 ( 2004 ). 22. Hofacker , I. L. et al. Fast Folding and Comparison of Rna Secondary Structures. Monatsh Chem 125 , 167 - 188 , doi: 10.1007/ Bf00818163 ( 1994 ). 23. Mccaskill , J. S. The Equilibrium Partition-Function and Base Pair Binding Probabilities for Rna Secondary Structure . Biopolymers 29 , 1105 - 1119 , doi: 10.1002/bip.360290621 ( 1990 ). 24. Elsik , C. G. et al. Finding the missing honey bee genes: lessons learned from a genome upgrade . BMC genomics 15 , doi: 10.1186/ 1471 -2164-15- 86 ( 2014 ). 25. Cristino , A. S. et al. Neuroligin-associated microRNA-932 targets actin and regulates memory in the honeybee . Nature communications 5 , 5529, doi: 10.1038/ncomms6529 ( 2014 ). 26. Hirsh , A. E. & Fraser , H. B. Protein dispensability and rate of evolution . Nature 411 , 1046 - 1049 , doi: 10.1038/35082561 ( 2001 ). 27. Huang , D. W. , Sherman , B. T. & Lempicki , R. A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources . Nat Protoc 4 , 44 - 57 , doi: 10.1038/nprot. 2008 . 211 ( 2009 ). 28. Huang , D. W. , Sherman , B. T. & Lempicki , R. A. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists . Nucleic acids research 37 , 1 - 13 , doi: 10.1093/Nar/Gkn923 ( 2009 ). 29. Rogers , L. J. Asymmetry of Brain and Behavior in Animals: Its Development , Function, and Human Relevance . Genesis 52 , 555 - 571 , doi: 10.1002/Dvg.22741 ( 2014 ). 30. Samara , A. & Tsangaris , G. T. Brain asymmetry: both sides of the story . Expert Rev Proteomic 8 , 693 - 703 , doi: 10.1586/Epr.11.62 ( 2011 ). 31. Wang , Z. L. , Wang , H. , Qin , Q. H. & Zeng , Z. J. Gene expression analysis following olfactory learning in Apis mellifera . Molecular biology reports 40 , 1631 - 1639 , doi: 10.1007/s11033-012-2212- 9 ( 2013 ). 32. Cho , J. et al. Multiple repressive mechanisms in the hippocampus during memory formation . Science 350 , 82 - 87 , doi: 10.1126/ science.aac7368 ( 2015 ). 33. Ryan , M. M. et al. Temporal Profiling of Gene Networks Associated with the Late Phase of Long-Term Potentiation In Vivo . Plos One 7 , doi: ARTN e40538, doi: 10.1371/journal.pone. 0040538 ( 2012 ). 34. Corballis , M. C. Laterality and human evolution . Psychological review 96 , 492 - 505 ( 1989 ). 35. Wang , B. , Zhou , T. G. , Zhuo , Y. & Chen , L. Global topological dominance in the left hemisphere . Proceedings of the National Academy of Sciences of the United States of America 104 , 21014 - 21019 , doi: 10.1073/pnas.0709664104 ( 2007 ). 36. Trapnell , C. et al. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (vol 7 , pg 562 , 2012 ). Nat Protoc 9 , 2513 - 2513 , doi: 10.1038/nprot1014- 2513a ( 2014 ).

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Yu Guo, Zilong Wang, You Li, Guifeng Wei, Jiao Yuan, Yu Sun, Huan Wang, Qiuhong Qin, Zhijiang Zeng, Shaowu Zhang, Runsheng Chen. Lateralization of gene expression in the honeybee brain during olfactory learning, Scientific Reports, 2016, DOI: 10.1038/srep34727