We investigated the bacterial community of bee bread and bee pollen samples using an approach through 16 s rRNA high-throughput sequencing. The results revealed a higher bacterial diversity in bee bread than in bee pollen as depicted in taxonomic profiling, as well as diversity indices such as the Shannon diversity index (3.7 to 4.8 for bee bread and 1.1 to 1.7 for bee pollen samples) and Simpson’s index (>0.9 for bee bread and 0.4–0.5 for bee pollen). Principal component analysis showed a distinct difference in bacterial communities. The higher bacterial diversity in the bee bread than bee pollen could presumably be due to factors such as storage period, processing of food, fermentation, and high sugar environment. However, no effect of the feed (rapeseed or oak pollen patties or even natural inflow) was indicated on the bacterial composition of bee bread, presumably because of the lack of restriction of foraged pollen inflow in the hive. The diverse bacterial profile of the bee bread could contribute to the nutritional provisioning as well as enhance the detoxification process; however, a thorough investigation of the functional role of individual bacteria genera remains a task for future studies.

We genetically identified three different species of hornets and analyzed the nutrient compositions of their edible brood. Samples were collected from a commercial production unit in Shizong province of China and from forests near Andong City in Korea. The species were identified as Vespa velutina, V. mandarinia, and V. basalis from China and V. velutina from Korea. Farmed V. velutina and V. mandarinia were found to have similar protein contents, i.e., total amino acids, whereas V. basalis contained less protein. The V. velutina brood collected from the forest contained the highest amount of amino acids. Altogether 17 proteinogenic amino acids were detected and quantified with similar patterns of distribution in all three species: leucine followed by tyrosine and lysine being predominant among the essential and glutamic acid among the non-essential amino acids. A different pattern was found for fatty acids: The polyunsaturated fatty acid proportion was highest in V. mandarinia and V. basalis, but saturated fatty acids dominated in the case of V. velutina from two different sources. The high amounts of unsaturated fatty acids in the lipids of the hornets could be expected to exhibit nutritional benefits, including reducing cardiovascular disorders and inflammations. High minerals contents, especially micro minerals such as iron, zinc, and a high K/Na ratio in hornets could help mitigate mineral deficiencies among those of the population with inadequate nutrition.

Honey is a widely consumed natural product, and its entomological origin can significantly influence its market value. Therefore, traceability of the entomological origin of honey should also be considered in honey quality control protocols. Although several methods exist, such as physicochemical characterization and bioactivity profiling of honey of different entomological origins, the most promising three methods for entomological authentication of honey include protein-based identification, chemical profiling, and a DNA-based method. All of these methods can be applied for reliable identification of the entomological origin of honey. However, as the honey is a complex matrix, the inconsistency of the results obtained by these methods is a pragmatic challenge, and therefore, the use of each method in all the cases is questionable. Most of these methodologies can be used for authentication of newly harvested honey and it is worth understanding the possibility of using these methods for authentication of relatively old samples. Most probably, using DNA-based methods targeting small fragments of DNA can provide the best result in old samples, however, the species-specific primers targeting short fragments are limited and not available for all species. Therefore, using universal primers in combination with a DNA metabarcoding approach can be a good solution that requires further investigation. This present article describes the applications of different methods, their pros, and their cons to identify honey based on entomological origin.

Honey is a widely used natural product and the price of honey from Apis cerana (ACH) and A. dorsata (ADH) is several times more expensive than the one from A. mellifera (AMH), thus there are increasing fraud issues reported in the market by mislabeling or mixing honeys with different entomological origins. In this study, three species-specific primers, targeting the NADH dehydrogenase 2 (ND2) region of honeybee mitochondrial DNA, were designed and tested to distinguish the entomological origin of ACH, ADH, and AMH. Molecular analysis showed that each primer set can specifically detect the ND2 region from the targeted honeybee DNA, but not from the others. The amplicon size for A. cerana, A. dorsata and A. mellifera were 224, 302, and 377 bp, respectively. Importantly, each primer set also specifically produced amplicons with expected size from the DNA prepared from honey samples with different entomological origins. The PCR adulteration test allowed detection of 1% of AMH in the mixture with either ACH or ADH. Furthermore, real-time PCR and melting curve analysis indicated the possible discrimination of origin of honey samples. Therefore, we provide the newly developed PCR-based method that can be used to determine the entomological origin of the three kinds of honey.

The bumblebee, Bombus ignitus (Hymenoptera, Apidae), plays a vital role in pollination in Northeast Asia, including Korea, China, Japan, and Far East Russia. Understanding the genetic makeup of the population can aid in its conservation. This study explores the DNA barcode region of cytochrome C oxidase subunit I (COI) of B. ignitus in commercial populations from Korea and Japan. The results reveal low intraspecific genetic diversity among commercially reared populations, with a maximum sequence divergence of 0.3%. Analysis of a 458-bp region of the COI gene, including 384 previously reported sequences, identified 20 haplotypes with the highest sequence divergence of 2.01% in East Asia. Commercial populations show a genetic similarity primarily with the Japanese population. Cross-mating with native populations could result in competition and genetic contamination, leading to reduced fitness and sensitivity to future environmental conditions. Morphological similarities make monitoring of such effects challenging. This study provides a basis for further research on population studies, conservation, and commercialization of local populations of B. ignitus for better pollination services while minimizing risks of reducing genetic diversity and increasing competition between native and introduced populations.

Research on pollen-borne microbes and the gut microbiome of honey bee is an emerging field that improves the understanding of the ecological and nutritional dynamics of the insect–microbial interaction and bee health as well. Changes in the nutrient composition in bee bread from bee pollen suggest the potential involvement of pollen-borne microbes in shaping the nutrient profile of their food. On the other hand, gut microfloral communities receive attention for their key role in nutritional physiology, such as a regulator of nutrient homeostasis and cellular pathways for growth and development and overall honey bee health and fitness. This chapter summarizes what is currently known about microbes associated with shaping the nutrient composition of bee bread and the gut microbiology of honey bee, maintaining nutrient homeostasis.