Identifying species of insects used to estimate postmortem interval (PMI) is a major subject in forensic entomology. Because forensic insect specimens are morphologically uniform and are obtained at various developmental stages, DNA markers are greatly needed. To develop new autosomal DNA markers to identify species, partial genomic sequences of thebicoid(bcd) genes, containing the homeobox and its flanking sequences, from 12 blowfly species (Aldrichina grahami, Calliphora vicina, Calliphora lata, Triceratopyga calliphoroides, Chrysomya megacephala, Chrysomya pinguis, Phormia regina, Lucilia ampullacea, Lucilia caesar, Lucilia illustris, Hemipyrellia ligurriensandLucilia sericata; Calliphoridae: Diptera) were determined and analyzed. This study first sequenced the ten blowfly species other thanC. vicinaandL. sericata. Based on thebcdsequences of these 12 blowfly species, a phylogenetic tree was constructed that discriminates the subfamilies of Calliphoridae (Luciliinae, Chrysomyinae, and Calliphorinae) and most blowfly species. Even partial genomic sequences of about 500 bp can distinguish most blowfly species. The short intron 2 and coding sequences downstream of thebcdhomeobox in exon 3 could be utilized to develop DNA markers for forensic applications. These gene sequences are important in the evolution of insect developmental biology and are potentially useful for identifying insect species in forensic science.

C. oleifera is an economically important oilseed crop and medical plant. However, as a characteristic honey resource, the standard protocol used to identify the composition of C. oleifera honey has not been established yet. Previously, distinctive flavonoid has been shown as an effective marker to trace the botanical origin of honey. In this study, we examined the flavonoid types in C. oleifera honey and nine other monofloral honeys by using liquid chromatography tandem-mass spectrometry (LC-MS/MS) and compared the differences and identified eight distinct flavonoids in C. oleifera honey. Then, comparing the 8 flavonoids with the 14 flavonoids common to C. oleifera honey and nectar, two distinct flavonoids were identified in C. oleifera honey and nectar. Finally, we identified kaempferitrin as the distinct flavonoid marker in C. oleifera honey using the degree of influence of the partial least-squares discriminant analysis (PLS-DA) model on C. oleifera honey and ployfloral honey.

Honey bees are important species for the study of epigenetics. Female honey bee larvae with the same genotype can develop into phenotypically distinct organisms (sterile workers and fertile queens) depending on conditions such as diet. Previous studies have shown that DNA methylation and histone modification can establish distinct gene expression patterns, leading to caste differentiation. It is unclear whether the histone methylation modification H3K4me1 can also impact caste differentiation. In this study, we analyzed genome-wide H3K4me1 modifications in both queen and worker larvae and found that H3K4me1 marks are more abundant in worker larvae than in queen larvae at both the second and fourth instars, and many genes associated with caste differentiation are differentially methylated. Notably, caste-specific H3K4me1 in promoter regions can direct worker development. Thus, our results suggest that H3K4me1 modification may act as an important regulatory factor in the establishment and maintenance of caste-specific transcriptional programs in honey bees; however, the potential influence of other epigenetic modifications cannot be excluded.

RNA interference (RNAi) has been used successfully to reduce target gene expression and induce specific phenotypes in several species. It has proved useful as a tool to investigate gene function and has the potential to manage pest populations and reduce disease pathogens. However, it is not known whether different administration methods are equally effective at interfering with genes in bees. Therefore, we compared the effects of feeding and injection of small interfering RNA (siRNA) on the messenger RNA (mRNA) levels of alpha-aminoadipic semialdehyde dehydrogenase (ALDH7A1), 4-coumarate-CoA ligase (4CL), and heat shock protein 70 (HSP70). Both feeding and injection of siRNA successfully knocked down the gene but feeding required more siRNA than the injection. Our results suggest that both feeding and injection of siRNA effectively interfere with brain genes in bees. The appropriateness of each method would depend on the situation.

The role of the epigenome in phenotypic plasticity is unclear presently. Here we used a multiomics approach (RNA-seq, ChIP-seq, ATAC-seq and Hi-C) to explore the nature of the epigenome in developing honeybee (Apis mellifera) workers and queens. Our data showed that the distinct queen and worker epigenomic landscapes form during the developmental process. Differences in gene expression between workers and queens precede other epigenomic modifications, but the epigenomic differences between workers and queens become more extensive and more layered during development. Genes known to be important for caste differentiation were more likely to be multiply differentially regulated by more than one epigenomic system than other differentially expressed genes. This indicates a multidimensional regulation of expression of key genes, presumably to canalise differences in gene expression. Our data indicate that the epigenome interacts with diverging developmental trajectories rather than controlling them since different epigenomic landscapes form in concert with different developmental outcomes.