Differential gene expression of the honey bees Apis mellifera and A. cerana induced by Varroa destructor infection

Varroa destructor mite is currently the most serious threat to the world bee industry. Differences in mite tolerance are reported between two honey bee species Apis mellifera and Apis cerana. Differential gene expression of two honey bee species induced by V. destructor infection was investigated by constructing two suppression subtractive hybridization (SSH) libraries, as first steps toward elucidating molecular mechanisms of Varroa tolerance. From the SSH libraries, we obtained 289 high quality sequences which clustered into 132 unique sequences grouped in 26 contigs and 106 singlets where 49 consisted in A. cerana subtracted library and 83 in A. mellifera. Using BLAST, we found that 85% sequences had counterpart known genes whereas 15% were undescribed. A Gene Ontology analysis classified 51 unique sequences into different functional categories. Eight of these differentially expressed genes, representative of different regulation patterns, were confirmed by qRT-PCR. Upon the mite induction, the differentially expressed genes from both bee species were different, except hex 110 gene, which was up-regulated in A. cerana but down-regulated in A. mellifera, and Npy-r gene, which was down-regulated in both species. In general, most of the differential expression genes were involved in metabolic processes and nerve signaling. The results provide information on the molecular response of these two bee species to Varroa infection.     

Differentially enhanced gene expression in hemocytes from Macrobrachium rosenbergii challenged in vivo with lipopolysaccharide

In order to better understand the immune response in prawns after treatment with the immunostimulant lipopolysaccharide (LPS), in this study, the differential gene expression of the hemocytes from LPS-injected versus non-injected prawns (Macrobrachium rosenbergii) were isolated and identified using suppression subtractive hybridization (SSH). The hemocytes were extracted after treatment for 1, 6, and 12 h. The upregulated genes (i.e., where gene expression was elevated) were identified and could be divided into four classes on the basis of physiological function: genes concerning defense-related molecules, genes involved in energy-production (respiration), genes related to protein synthesis and folding, and genes with unknown function. The time-course for gene expression indicated that, except for expression of the gene anti-microbial peptide (amp), which was increased at 12 h after LPS treatment, the expression of the other two immune-related genes was much earlier (at 1 h), including alpha-2-macroglobulin (α2-M) and Mas-like protein (mas). These results suggest that in the early phase of LPS stimulation some immune reactions regulated by α-2M and Mas may be induced, such as the activation of prophenoloxidase activating system, opsonization, and anti-microbial activity. In addition, six unigenes with unproven function were particularly interesting and worthy of further study because their expression in LPS-treated hemocytes was clearly enhanced.     

Differential gene expression profile of the calanoid copepod, Pseudodiaptomus annandalei, in response to nickel exposure

To better understand the underlying mechanisms of reactions of copepods exposed to elevated level of nickel, the suppression subtractive hybridization (SSH) was used to elucidate the response of the copepod Pseudodiaptomus annandalei to nickel exposure at the gene level. P. annandale is one of a few copepod species that can be cultured relatively easy under laboratory condition, and it is considered to be a potential model species for toxicity study. In the present study, P. annandalei were exposed to nickel at a concentration of 8.86 mg L^− 1 for 24 h, after which the RNA was prepared for SSH using unexposed P. annandalei as drivers. A total of 474 clones on the middle scale in the SSH library were sequenced. Among these genes, 129 potential functional genes were recognized based on the BLAST searches in NCBI and Uniprot databases. These genes were then categorized into nine groups in association with different biological processes using AmiGO against the Gene Ontology database. Of the 129 genes, 127 translatable DNA sequences were predicted to be proteins, and the putative amino acid sequences were searched for conserved domains (CD) and proteins using the CD-Search service and BLASTp. Among 129 genes, 119 (92.2%) were annotated to be involved in different biological processes, while 10 genes (7.8%) were classified as an unknown-function gene group. To further confirm the up-regulation of differentially expressed genes, the quantitative real time PCR were performed to test eight randomly selected genes, in which five of them, i.e. α-tubulin, ribosomal protein L13, ferritin, separase and Myohemerythrin-1, exhibited clear up-regulation after nickel exposure. In addition, MnSOD was further studied for the differential expression pattern after nickel exposure and the results showed that MnSOD had a time- and dose-dependent expression pattern in the copepod after nickel exposure. To the best of our knowledge, this is the first attempt to investigate the toxicity effects of nickel on a copepod at molecular level.     

Diapause-specific gene expression in the northern house mosquito, Culex pipiens L., identified by suppressive subtractive hybridization

In this study we probe the molecular events underpinning diapause observed in overwintering females of Culex pipiens. Using suppressive subtractive hybridization (SSH) we have identified 40 genes that are either upregulated or downregulated during this seasonal period of dormancy. Northern blot hybridizations have confirmed the expression of 32 of our SSH clones, including six genes that are upregulated specifically in early diapause, 17 that are upregulated in late diapause, and two upregulated throughout diapause. In addition, two genes are diapause downregulated and five remain unchanged during diapause. These genes can be categorized into eight functional groups: genes with regulatory functions, metabolically-related genes, those involved in food utilization, stress response genes, cytoskeletal genes, ribosomal genes, transposable elements, and genes with unknown functions.