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

We used next generation sequencing (NGS) to analyse the 16S rRNA bacterial gene amplicons based on the V3-V4 region and the ITS2 regions 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. The presented data can be used to compare the metagenomics samples from different honeybee population all over the world. Higher load of fungi, and bacteria groups as: Firmicutes (Lactobacillus); γ-proteobacteria, Neisseriaceae, and unassigned other bacteria was observed for Nosema cearana and neogregarines infected honeybees. Healthy honeybees had higher load of plant pollens, and bacteria groups as: γ-proteobacteria, Orbales, Gilliamella, Snodgrassella, γ-proteobacteria, Enterobacteriaceae. More details you can find in research article [1] Ptaszyńska et al. 2021. Datasets: Excel 1. In the excel file are the row original information form NGS of composition of bacteria from 16S_taxonomyReads from seasonal changes of Polish honeybee samples (collected from April to September). Excel 2. In the excel file are the row original information form NGS of composition of fungi and plant pollen from ITS_taxonomyReads from seasonal changes of Polish honeybee samples (collected from April to September). Excel 3. In the excel file are the row original information form NGS of composition of bacteria from 16S_taxonomyReads from UK, Greece, Spain and Thailand honeybee samples. Excel 4. In the excel file are the row original information form NGS of composition of bacteria from ITS_taxonomyReads from UK, Greece, Spain and Thailand honeybee samples. Dataset 5. Table 1A. One-way ANOVA report from the correlation between Polish honeybees’ health status and the bacteria detected on the base of 16S rDNA NGS analyses. Dataset 6. Table 1B. One-way ANOVA report from the correlation between Polish honeybees’ health status and fungi and plant pollens detected on the basis of ITS NGS analysis. Dataset 7. Table 2A. One-way ANOVA report from the correlation between UK, Spain, Greece and Thailand honeybees’ health status and the bacteria detected on the base of 16S rDNA NGS analyses. Dataset 8. Table 2B. One-way ANOVA report from the correlation between UK, Spain, Greece and Thailand honeybees’ health status and the detected fungi and plant pollens detected on the basis of ITS NGS analysis