Honey bees are both important pollinators and model insects due to their highly developed sociality and colony management. To better understand the molecular mechanisms underlying honey bee colony management, it is important to investigate the expression of genes putatively involved in colony physiology. Although quantitative real-time PCR (qRT-PCR) can be used to quantify the relative expression of target genes, internal reference genes (which are stably expressed across different conditions) must first be identified to ensure accurate normalisation of target genes. To identify reliable reference genes in honey bee (Apis mellifera) colonies, therefore, we evaluated seven candidate genes (ACT , EIF, EF1, RPN2, RPS5, RPS18 and GAPDH) in samples collected from three honey bee tissue types (head, thorax and abdomen) across all four seasons using three analysis programmes (NormFinder, BestKeeper and geNorm). Subsequently, we validated various normalisation methods using each of the seven reference genes and a combination of multiple genes by calculating the expression of catalase (CAT). Although the genes ranked as the most stable gene were slightly different on conditions and analysis methods, our results suggest that RPS5, RPS18 and GAPDH represent optimal honey bee reference genes for target gene normalisation in qRT-PCR analysis of various honey bee tissue samples collected across seasons. The Western honey bee, Apis mellifera L., plays an important role as a pollinator 1. In addition, the honey bee is considered to be a key model insect due to its relatively complex behaviours, including sociality, labour division and colony management 2. Previous studies have demonstrated that endocrine system status and gene expression are important factors for flexible honey bee colony management, which involves colonies seasonally regulating their labour division and population dynamics 3-5. In order to extend our understanding of the molecular mechanisms that underlie the regulation of honey bee colony physiology, information on the physiological functions of the genes putatively associated with colony management can be determined by analysing their expression profiles among different seasons and honey bee tissues 6,7. In quantitative real-time PCR (qRT-PCR), gene-specific mRNA (or cDNA) is quantified; this method has been used extensively because of its relative speed, sensitivity, replicability and accuracy 8,9. Therefore, qRT-PCR would be an ideal method for analysing the expression patterns of honey bee genes putatively involved in the plasticity of colony molecular physiology in samples collected across different seasons and tissues. However, because qRT-PCR results are highly sensitive to the initial amount of RNA content in the amplification reaction, the interpretation of target gene expression levels among various conditions would result in appreciable errors without the use of a reliable internal standard 7-10. Therefore, prior to analysing target gene expression levels among conditions, reference genes are requir...

Air pollutants and agricultural pesticides can be environmental stressors to pollinators. In this study, to investigate the expression of detoxification-related genes and heavy metal concentrations in honey bees and honey possibly exposed to environmental stresses, we collected samples from apiaries located in mountainous, agricultural, and urban areas. Compared with the mountainous and agricultural areas, the mercury and lead concentrations were highest in honey and bees collected from urban areas. In addition, the expression levels of CYP9Q1 , CYP9Q2 , CYP9Q3 , and genes encoding catalase and superoxide dismutase were markedly higher in urban bees than those from agricultural and mountainous areas, discreetly indicating that the notable induction of the detoxification metabolism in urban bees might be because of heavy metal pollutant exposure. Our study suggests that honey bees actively respond to environmental stressors, such as heavy metals derived from urban areas.

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Recently, pesticides have been suggested to be one of the factors responsible for the large-scale decline in honey bee populations, including colony collapse disorder. The identification of the genes that respond to pesticide exposure based on their expression is essential for understanding the xenobiotic detoxification metabolism in honey bees. For the accurate determination of target gene expression by quantitative real-time PCR, the expression stability of reference genes should be validated in honey bees exposed to various pesticides. Therefore, in this study, to select the optimal reference genes, we analyzed the amplification efficiencies of five candidate reference genes (RPS5, RPS18, GAPDH, ARF1, and RAD1a) and their expression stability values using four programs (geNorm, NormFinder, BestKeeper, and RefFinder) across samples of five body parts (head, thorax, gut, fat body, and carcass) from honey bees exposed to seven pesticides (acetamiprid, imidacloprid, flupyradifurone, fenitrothion, carbaryl, amitraz, and bifenthrin). Among these five candidate genes, a combination of RAD1a and RPS18 was suggested for target gene normalization. Subsequently, expression levels of six genes (AChE1, CYP9Q1, CYP9Q2, CYP9Q3, CAT, and SOD1) were normalized with a combination of RAD1a and RPS18 in the different body parts from honey bees exposed to pesticides. Among the six genes in the five body parts, the expression of SOD1 in the head, fat body, and carcass was significantly induced by six pesticides. In addition, among seven pesticides, flupyradifurone statistically induced expression levels of five genes in the fat body.

Drosophila melanogaster is attracted to chemicals produced by fermentation and it is abundantly found in rotten fruits. Considering its habitat, the fruit fly is reported to be tolerant to environmental chemicals. Quantitative real‐time polymerase chain reaction was employed to investigate the expression pattern and physiological function of genes putatively involved in chemical detoxification. In quantitative real‐time polymerase chain reaction assays, normalization of target gene expression with internal reference genes is required. These reference genes should be stably expressed during chemical exposure and in chemical‐free conditions. In this study, therefore, we used two programs (geNorm and BestKeeper) to evaluate the expression stability of five reference genes (nd, rpL18, ef1β, hsp22 and tbp) in female adult flies exposed to various concentrations of methanol and ethyl acetate. Four genes (nd, rpL18, ef1β and tbp) were found to be suitable for use as reference genes in methanol‐treated flies and three genes (ef1β, nd, tbp) were found to be suitable for use as reference genes in ethyl acetate‐treated flies. These results suggested that a combination of two genes among these stably expressed genes can be used for accurate normalization of target gene expression in quantitative real‐time polymerase chain reaction‐based determination of gene expression profiles in D. melanogaster treated with both chemicals.