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Background The gut of phloem feeding insects is critical for nutrition uptake and xenobiotics degradation. However, partly due to its tiny size, genomic information for the gut of phloem feeding insects is limited. Results In this study, the gut transcriptomes of two species of invasive whiteflies in the Bemisia tabaci complex, Middle East Asia Minor 1 (MEAM1) and Mediterranean (MED), were analyzed using the Illumina sequencing. A total of 12,879 MEAM1 transcripts and 11,246 MED transcripts were annotated with a significant Blastx hit. In addition, 7,000 and 5,771 gut specific genes were respectively identified for MEAM1 and MED. Functional analyses on these gut specific genes demonstrated the important roles of gut in metabolism of insecticides and secondary plant chemicals. To reveal the molecular difference between guts of MEAM1 and MED, a comparison between gut transcriptomes of the two species was conducted and 3,910 pairs of orthologous genes were identified. Based on the ratio of nonsynonymous and synonymous substitutions, 15 genes were found evolving under positive selection. Many of those genes are predicted to be involved in metabolism and insecticide resistance. Furthermore, many genes related to detoxification were expressed at an elevated level in the gut of MED compared to MEAM1, which might be responsible for the MED's higher resistance to insecticides and environmental stresses. Conclusion The sequencing of MED and MEAM1 gut transcriptomes and extensive comparisons of MEAM1 and MED gut transcripts provide substantial sequence information for revealing the role of gut in whiteflies. [ABSTRACT FROM AUTHOR]

Quantitative real-time reverse transcription polymerase chain reaction is widely used for gene expression analysis, and robust normalization against stably expressed endogenous reference genes (ERGs) is necessary to obtain accurate results. In this study, the stability of nine housekeeping genes of the sweetpotato whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae) Mediterranean were evaluated in various conditions by quantitative real-time reverse transcription polymerase chain reaction using geNorm and Normfinder programs. Both programs suggested α-tubulin/ubiquitin and 18S small subunit ribosomal RNA the most stable genes for bacterium- and insecticide-treated whiteflies, respectively. For developmental stages, organs, and the samples including salivary glands and the whole body, transcription initiation factor TFIID subunit was calculated as the most stably expressed gene by both programs. In addition, we compared the RNA-seq data with the results of geNorm and Normfinder and found that the stable genes revealed by RNA-seq analysis were also the ERGs recommended by geNorm and Normfinder. Furthermore, the use of the most stable gene suggested by RNA-seq analysis as an ERG produced similar gene expression patterns compared with results generated from the normalization against the most stable gene selected by geNorm and Normfinder and multiple genes recommended by geNorm. It indicates that RNA-seq data are reliable and provide a great source for ERG candidate exploration. Our results benefit future research on gene expression profiles of whiteflies and possibly other organisms. [ABSTRACT FROM AUTHOR]

Background: Some species of the whitefly Bemisia tabaci complex cause tremendous losses to crops worldwide through feeding directly and virus transmission indirectly. The primary salivary glands of whiteflies are critical for their feeding and virus transmission. However, partly due to their tiny size, research on whitefly salivary glands is limited and our knowledge on these glands is scarce. Methodology/Principal Findings: We sequenced the transcriptome of the primary salivary glands of the Mediterranean species of B. tabaci complex using an effective cDNA amplification method in combination with short read sequencing (Illumina). In a single run, we obtained 13,615 unigenes. The quantity of the unigenes obtained from the salivary glands of the whitefly is at least four folds of the salivary gland genes from other plant-sucking insects. To reveal the functions of the primary glands, sequence similarity search and comparisons with the whole transcriptome of the whitefly were performed. The results demonstrated that the genes related to metabolism and transport were significantly enriched in the primary salivary glands. Furthermore, we found that a number of highly expressed genes in the salivary glands might be involved in secretory protein processing, secretion and virus transmission. To identify potential proteins of whitefly saliva, the translated unigenes were put into secretory protein prediction. Finally, 295 genes were predicted to encode secretory proteins and some of them might play important roles in whitefly feeding. Conclusions/Significance:: The combined method of cDNA amplification, Illumina sequencing and de novo assembly is suitable for transcriptomic analysis of tiny organs in insects. Through analysis of the transcriptome, genomic features of the primary salivary glands were dissected and biologically important proteins, especially secreted proteins, were predicted. Our findings provide substantial sequence information for the primary salivary glands of whiteflies and will be the basis for future studies on whitefly-plant interactions and virus transmission. [ABSTRACT FROM AUTHOR]