Asia is home to at least nine honeybee species, including the introduced Apis mellifera. In addition to A. mellifera and Apis cerana being widely employed for commercial beekeeping, the remaining nonmanaged species also have important ecological and economic roles on the continent. Species distributions of most honeybee species overlap in Southeast Asia. This promotes the potential for interspecific transmission of pests and parasites and their spread to other parts of the world by human translocation. The decline of honeybee populations is of great concern around the world, including in Asia. The global colony losses of A. mellifera are believed to be caused, in part, by parasites, pathogens, and pests originating from Asia, such as the mite Varroa destructor, the microsporidian Nosema ceranae, and some bee viruses. This review discusses important pests, pathogens, and parasites in both the introduced A. mellifera and native honeybees in Asia to provide an overall picture of honeybee health in the region and future threats to the apiculture industry.

Background

A major obstacle in single-cell sequencing is sample contamination with foreign DNA. To guarantee clean genome assemblies and to prevent the introduction of contamination into public databases, considerable quality control efforts are put into post-sequencing analysis. Contamination screening generally relies on reference-based methods such as database alignment or marker gene search, which limits the set of detectable contaminants to organisms with closely related reference species. As genomic coverage in the tree of life is highly fragmented, there is an urgent need for a reference-free methodology for contaminant identification in sequence data.

Results

We present acdc, a tool specifically developed to aid the quality control process of genomic sequence data. By combining supervised and unsupervised methods, it reliably detects both known and de novo contaminants. First, 16S rRNA gene prediction and the inclusion of ultrafast exact alignment techniques allow sequence classification using existing knowledge from databases. Second, reference-free inspection is enabled by the use of state-of-the-art machine learning techniques that include fast, non-linear dimensionality reduction of oligonucleotide signatures and subsequent clustering algorithms that automatically estimate the number of clusters. The latter also enables the removal of any contaminant, yielding a clean sample. Furthermore, given the data complexity and the ill-posedness of clustering, acdc employs bootstrapping techniques to provide statistically profound confidence values. Tested on a large number of samples from diverse sequencing projects, our software is able to quickly and accurately identify contamination. Results are displayed in an interactive user interface. Acdc can be run from the web as well as a dedicated command line application, which allows easy integration into large sequencing project analysis workflows.

Conclusions

Acdc can reliably detect contamination in single-cell genome data. In addition to database-driven detection, it complements existing tools by its unsupervised techniques, which allow for the detection of de novo contaminants. Our contribution has the potential to drastically reduce the amount of resources put into these processes, particularly in the context of limited availability of reference species. As single-cell genome data continues to grow rapidly, acdc adds to the toolkit of crucial quality assurance tools.

Workers of open-nesting honey bee species form a bee curtain to cover the comb and protect it against adverse environmental conditions and predators. We studied different aspects of structural and temporal dynamics of the bee curtain in Apis florea. First, in the course of daily observations, we discovered massed flight activity (MFA) of A. florea colonies similar to that previously described for A. dorsata. The MFAs started with the opening of gaps in the curtain and appearance of chains of bees shortly before the massed take off. Second, monitoring the worker movement patterns in the outer layer indicated a constant turnover of bees in the curtain. Finally, introduction of marked 1-day-old workers showed that workers joined the curtain at a very young age. First flight activity appeared around day 20, but the majority of workers started to fly after day 47, which is twice the age at which A. mellifera workers start to forage.

Strains of the genus Gramella (family Flavobacteriacae, phylum Bacteroidetes) were isolated from marine habitats such as tidal flat sediments, coastal surface seawater and sea urchins. Flavobacteriaceae have been shown to be involved in the decomposition of plant and algal polysaccharides. However, the potential to decompose polysaccharides may differ tremendously even between species of the same genus. Gramella echinicola KMM 6050^T (DSM 19838^T) and Gramella portivictoriae UST040801-001^T (DSM 23547^T) have genomes of similar lengths, similar numbers of protein coding genes and RNA genes. Both genomes encode for a greater number of peptidases compared to ’G. forsetii’. In contrast to the genome of ’G. forsetii’, both genomes comprised a smaller set of CAZymes. Seven polysaccharide utilization loci were identified in the genomes of DSM 19838^T and DSM 23547^T. Both Gramella strains hydrolyzed starch, galactomannan, arabinoxylan and hydroxyethyl-cellulose, but not pectin, chitosan and cellulose (Avicel). Galactan and xylan were hydrolyzed by strain DSM 19838^T, whereas strain DSM 23547^T hydrolyzed pachyman and carboxy-methyl cellulose. Conclusively, both Gramella type strains exhibit characteristic physiological, morphological and genomic differences that might be linked to their habitat. Furthermore, the identified enzymes mediating polysaccharide decomposition, are of biotechnological interest.

Flavobacterium suncheonense is a member of the family Flavobacteriaceae in the phylum Bacteroidetes. Strain GH29-5^T (DSM 17707^T) was isolated from greenhouse soil in Suncheon, South Korea. F. suncheonense GH29-5^T is part of the GenomicEncyclopedia ofBacteria andArchaea project. The 2,880,663 bp long draft genome consists of 54 scaffolds with 2739 protein-coding genes and 82 RNA genes. The genome of strain GH29-5^T has 117 genes encoding peptidases but a small number of genes encoding carbohydrate active enzymes (51 CAZymes). Metallo and serine peptidases were found most frequently. Among CAZymes, eight glycoside hydrolase families, nine glycosyl transferase families, two carbohydrate binding module families and four carbohydrate esterase families were identified. Suprisingly, polysaccharides utilization loci (PULs) were not found in strain GH29-5^T. Based on the coherent physiological and genomic characteristics we suggest that F. suncheonense GH29-5^T feeds rather on proteins than saccharides and lipids.

Ensifer sp. PC2 is an aerobic, motile, Gram-negative, non-spore-forming rod that was isolated from a nitrogen-fixing nodule of the tree legume P. cineraria (L.) Druce (Khejri), which is a keystone species that grows in arid and semi-arid regions of the Indian Thar desert. Strain PC2 exists as a dominant saprophyte in alkaline soils of Western Rajasthan. It is fast growing, well-adapted to arid conditions and is able to form an effective symbiosis with several annual crop legumes as well as species of mimosoid trees and shrubs. Here we describe the features of Ensifer sp. PC2, together with genome sequence information and its annotation. The 8,458,965 bp high-quality permanent draft genome is arranged into 171 scaffolds of 171 contigs containing 8,344 protein-coding genes and 139 RNA-only encoding genes, and is one of the rhizobial genomes sequenced as part of the DOE Joint Genome Institute 2010 Genomic Encyclopedia for Bacteria and Archaea-Root Nodule Bacteria (GEBA-RNB) project proposal.

Fungi infect billions of people every year, yet their contribution to the global burden of disease is largely unrecognized and the repertoire of antifungal agents is rather limited. Thus, treatment of life-threatening invasive fungal infections is still based on drugs discovered several decades ago. In addition, recent data on resistance emergence of fungi emphasize the urgent need for novel antifungal treatments. One alternative strategy is based on host defense peptides. Among the large number of antimicrobial peptides, a group of peptides show primarily antifungal activity by interfering with enzymes of cell wall biosynthesis or specific membrane lipids such as ergosterol. Both are promising targets for antifungal peptides, as they are absent in mammalian cells and hence low toxicity of peptides can be expected. However, most of the antimicrobial peptides exhibit a broad spectrum activity including antifungal activity. These peptides act on the cell membrane level and although their structures vary largely, they share a positive net charge, which facilitates electrostatic interactions with negatively charged lipids of the target cell, and an amphipathic structure, which facilitates incorporation into the cell membrane and in turn membrane disruption. Thereby, membrane lipids differing between mammals and fungi play a central role concerning specificity and efficacy of these peptides. Hence, understanding their molecular mechanism(s) of action will aid in the design of novel antifungal agents. Finally, some of these peptides were shown to act synergistically with conventional drugs, which would further widen the armory to treat especially life-threatening invasive fungal infections.

Phaseolibacter flectens strain ATCC 12775^T (Halpern et al., Int J Syst Evol Microbiol 63:268–273, 2013) is a Gram-negative, rod shaped, motile, aerobic, chemoorganotroph bacterium. Ph. flectens is as a plant-pathogenic bacterium on pods of French bean and was first identified by Johnson (1956) as Pseudomonas flectens. After its phylogenetic position was reexamined, Pseudomonas flectens was transferred to the family Enterobacteriaceae as Phaseolibacter flectens gen. nov., comb. nov. Here we describe the features of this organism, together with the draft genome sequence and annotation. The DNA GC content is 44.34 mol%. The chromosome length is 2,748,442 bp. It encodes 2,437 proteins and 89 RNA genes. Ph. flectens genome is part of the Genomic Encyclopedia of Type Strains, Phase I: the one thousand microbial genomes study.

The analysis of catabolic capacities of microorganisms is currently often achieved by cultivation approaches and by the analysis of genomic or metagenomic datasets. Recently, a microarray system designed from curated key aromatic catabolic gene families and key alkane degradation genes was designed. The collection of genes in the microarray can be exploited to indicate whether a given microbe or microbial community is likely to be functionally connected with certain degradative phenotypes, without previous knowledge of genome data. Herein, this microarray was applied to capture new insights into the catabolic capacities of copper-resistant actinomycete Amycolatopsis tucumanensis DSM 45259. The array data support the presumptive ability of the DSM 45259 strain to utilize single alkanes (n-decane and n-tetradecane) and aromatics such as benzoate, phthalate and phenol as sole carbon sources, which was experimentally validated by cultivation and mass spectrometry. Interestingly, while in strain DSM 45259 alkB gene encoding an alkane hydroxylase is most likely highly similar to that found in other actinomycetes, the genes encoding benzoate 1,2-dioxygenase, phthalate 4,5-dioxygenase and phenol hydroxylase were homologous to proteobacterial genes. This suggests that strain DSM 45259 contains catabolic genes distantly related to those found in other actinomycetes. Together, this study not only provided new insight into the catabolic abilities of strain DSM 45259, but also suggests that this strain contains genes uncommon within actinomycetes.

Microbial production of fuels such as ethanol, butanol, hydrogen (H₂), and methane (CH₄) from waste biomass has the potential to provide sustainable energy systems that can displace fossil fuel consumption. Screening for microbial diversity and genome sequencing of a wide-range of microorganisms can identify organisms with natural abilities to synthesize these alternative fuels and/or other biotechnological applications. Clostridium species are the most widely studied strict anaerobes capable of fermentative synthesis of ethanol, butanol, or hydrogen directly from waste biomass. Clostridium termitidis CT1112 is a mesophilic, cellulolytic species capable of direct cellulose fermentation to ethanol and organic acids, with concomitant synthesis of H₂ and CO₂. On the basis of 16S ribosomal RNA (rRNA) and chaperonin 60 (cpn60) gene sequence data, phylogenetic analyses revealed a close relationship between C. termitidis and C. cellobioparum. Comparative bioinformatic analyses of the C. termitidis genome with 18 cellulolytic and 10 non-cellulolytic Clostridium species confirmed this relationship, and further revealed that the majority of core metabolic pathway genes in C. termitidis and C. cellobioparum share more than 90% amino acid sequence identity. The gene loci and corresponding amino acid sequences of the encoded enzymes for each pathway were correlated by percentage identity, higher score (better alignment), and lowest e-value (most significant “hit”). In addition, the function of each enzyme was proposed by conserved domain analysis. In this chapter we discuss the comparative analysis of metabolic pathways involved in synthesis of various useful products by cellulolytic and non-cellulolytic biofuel and solvent producing Clostridium species. This study has generated valuable information concerning the core metabolism genes and pathways of C. termitidis CT1112, which is helpful in developing metabolic engineering strategies to enhance its natural capacity for better industrial applications.