Dataset Information

Dataset of the next-generation sequencing of variable 16S rRNA from bacteria and ITS2 regions from fungi and plants derived from honeybees kept under anthropogenic landscapes.

ABSTRACT: Forager Apis melliefera honeybees were collected from four localities located in Europe, i.e.: London, UK; Athens, Greece; Marchamalo, Spain and Lublin, Poland. Furthermore, from Asia we have collected A. mellifera as well as A. cerana foragers form Chiang Mai in Thailand We used next generation sequencing (NGS) to analyse the 16S rRNA bacterial gene amplicons based on the V3-V4 region and the ITS2 region from fungi and plants derived from honeybee samples. Amplicon libraries, were prepared using the 16S Metagenomic Sequencing Library Preparation, Preparing 16S Ribosomal RNA Gene Amplicons for the Illumina MiSeq System (Illumina®) protocol. NGS raw data are available at https://www.ncbi.nlm.nih.gov/bioproject/PRJNA686953. Furthermore, isolated DNA was used as the template for screening pathogens: Nosema apis, N. ceranae, N. bombi, tracheal mite (Acarapis woodi), any organism in the parasitic order Trypanosomatida, including Crithidia spp. (i.e., Crithidia mellificae), neogregarines including Mattesia and Apicystis spp. (i.e., Apicistis bombi). The presented data can be used to compare the metagenomic samples from different honeybee population all over the world. A higher load of fungi, and bacteria groups such as: Firmicutes (Lactobacillus); γ- proteobacteria, Neisseriaceae, and other unidentified bacteria was observed for Nosema cearana and neogregarines infected honeybees. Healthy honeybees had a higher load of plant pollens, and bacteria groups such as: Orbales, Gilliamella, Snodgrassella, and Enterobacteriaceae. More details can be found in research article [1] Ptaszyńska et al. 2021.

SUBMITTER: Gancarz M

PROVIDER: S-EPMC8079459 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:European Apis mellifera and Asian Apis cerana honeybees are essential crop pollinators. Microbiome studies can provide complex information on health and fitness of these insects in relation to environmental changes, and plant availability. Amplicon sequencing of variable regions of the 16S rRNA from bacteria and the internally transcribed spacer (ITS) regions from fungi and plants allow identification of the metabiome. These methods provide a tool for monitoring otherwise uncultured microbes isolated from the gut of the honeybees. They also help monitor the composition of the gut fungi and, intriguingly, pollen collected by the insect. Here, we present data from amplicon sequencing of the 16S rRNA from bacteria and ITS2 regions from fungi and plants derived from honeybees collected at various time points from anthropogenic landscapes such as urban areas in Poland, UK, Spain, Greece, and Thailand. We have analysed microbial content of honeybee intestine as well as fungi and pollens. Furthermore, isolated DNA was used as the template for screening pathogens: Nosema apis, N. ceranae, N. bombi, tracheal mite (Acarapis woodi), any organism in the parasitic order Trypanosomatida, including Crithidia spp. (i.e., Crithidia mellificae), neogregarines including Mattesia and Apicystis spp. (i.e., Apicistis bombi). We conclude that differences between samples were mainly influenced by the bacteria, plant pollen and fungi, respectively. Moreover, honeybees feeding on a sugar based diet were more prone to fungal pathogens (Nosema ceranae) and neogregarines. In most samples Nosema sp. and neogregarines parasitized the host bee at the same time. A higher load of fungi, and bacteria groups such as Firmicutes (Lactobacillus); γ-proteobacteria, Neisseriaceae, and other unidentified bacteria was observed for Nosema ceranae and neogregarine infected honeybees. Healthy honeybees had a higher load of plant pollen, and bacteria groups such as: Orbales, Gilliamella, Snodgrassella, and Enterobacteriaceae. Finally, the period when honeybees switch to the winter generation (longer-lived forager honeybees) is the most sensitive to diet perturbations, and hence pathogen attack, for the whole beekeeping season. It is possible that evolutionary adaptation of bees fails to benefit them in the modern anthropomorphised environment.

Project description:Organic matter recycling in marine systems is largely driven by microbial processes, particularly in the Arctic where primary production and inputs can be temporally offset from upper trophic level consumption. This study followed bacterial dynamics in the chlorophyll maximum of the Bering Strait and sediment-water interface of the Chukchi Sea using metaproteomic and 16S rRNA methods to measure cellular function and taxonomic composition under low and high marine-derived particulate organic matter (POM) treatments at 0°C. Parallel analysis of major organic components (lipids and amino acids) allowed a comparison of microbial-POM interactions. Over the 10 day experimental period, bacteria under both treatments showed rapid community responses and changes in proteomic expression, accompanied by small changes in the concentration and distributions of organic components. In the Bering Strait community, protein translation was an important immediate cellular response under both POM scenarios while specific metabolic processes were more distinct between treatments. For example, under both conditions, evidence for carboxylic acid metabolism increased at day 6 while carbohydrate utilization as an energy source showed unique patterns as the experiments progressed. With POM additions to the Bering Strait community, nitrogen transport and regulation went up, including nitrogen fixation and ammonia assimilation, by day 6. In addition, a number of vitamin enzymatic cofactors were enriched by this day, providing evidence for an increase in C1 metabolism at that time. Low POM conditions stimulated the cycling and synthesis of amino acids, which was not as pronounced under the high POM treatment. In the Chukchi Sea community, nitrate reduction and substrate-specific transporter activity was statistically higher than in the Bering Strait, especially under low POM conditions. Taxonomic inference revealed that a wide range of bacterial classes were associated with the shifting cellular functions, but that Alphaproteobacteria, Gammaproteobacteria and Flavobacteria controlled most of these protein abundances. Activities of all classes were highly variable, with less dominant bacterial groups exhibiting a particularly strong degree of niche separation.

Dataset Information

Dataset of the next-generation sequencing of variable 16S rRNA from bacteria and ITS2 regions from fungi and plants derived from honeybees kept under anthropogenic landscapes.

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