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

Marek Gancarz; Paul J Hurd; Przemyslaw Latoch; Andrew Polaszek; Joanna Michalska-Madej; Łukasz Grochowalski; Dominik Strapagiel; Sebastian Gnat; Daniel Załuski; Robert Rusinek; Agata L Starosta; Patcharin Krutmuang; Raquel Martín Hernández; Mariano Higes Pascual; Aneta A Ptaszyńska

doi:10.1016/j.dib.2021.107019

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

Data Brief. 2021 Apr 2:36:107019. doi: 10.1016/j.dib.2021.107019. eCollection 2021 Jun.

Authors

Marek Gancarz^{1

2}, Paul J Hurd³, Przemyslaw Latoch^{4

5}, Andrew Polaszek⁶, Joanna Michalska-Madej⁷, Łukasz Grochowalski⁷, Dominik Strapagiel⁷, Sebastian Gnat⁸, Daniel Załuski⁹, Robert Rusinek¹, Agata L Starosta^{5

10}, Patcharin Krutmuang^{11

12}, Raquel Martín Hernández^{13

14}, Mariano Higes Pascual¹³, Aneta A Ptaszyńska^{3

15}

Affiliations

¹ Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4 Str., 20-290 Lublin, Poland.
² Faculty of Production and Power Engineering, University of Agriculture in Kraków, Balicka 116B, 30-149 Kraków, Poland.
³ School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.
⁴ Polish-Japanese Academy of Information Technology, Koszykowa 86 st., 02-008 Warsaw, Poland.
⁵ Laboratory of Gene Expression, ECOTECH-Complex, Maria Curie-Sklodowska University, ul. Gleboka 39, 20-612 Lublin, Poland.
⁶ Department of Life Sciences, Insects Division, Natural History Museum, London SW7 5BD United Kingdom.
⁷ Biobank Lab, Department of Molecular Biophysics, Faculty of Biology and Environmental Protection, University of Łódź, Pilarskiego 14/16, 90-231 Łódź, Poland.
⁸ Faculty of Veterinary Medicine, Department of Veterinary Microbiology, Institute of Preclinical Veterinary Sciences, University of Life Sciences, Akademicka 12, 20-033 Lublin, Poland.
⁹ Department of Pharmaceutical Botany and Pharmacognosy, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University, Marie Curie-Skłodowska 9, 85-094 Bydgoszcz, Poland.
¹⁰ Department of Molecular Biology, Institute of Biological Sciences, Maria Curie-Sklodowska University, Akademicka 19 Str., 20-033 Lublin, Poland.
¹¹ Department of Entomology and Plant Pathology, Faculty of Agriculture, Chiang Mai University, 50200, Thailand.
¹² Research Center of Microbial Diversity and Sustainable Utilization, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand.
¹³ IRIAF, Instituto Regional de Investigación y Desarrollo Agroalimentario y Forestal, Laboratorio de Patología Apícola, Centro de Investigación Apícola y Agroambiental (CIAPA), Consejería de Agricultura de la Junta de Comunidades de Castilla-La Mancha, Camino de San Martín s/n, 19180 Marchamalo, Spain.
¹⁴ Instituto de Recursos Humanos para la Ciencia y la Tecnología (INCRECYT-FEDER), Fundación Parque Científico y Tecnológico de Castilla-La Mancha, 02006 Albacete, Spain.
¹⁵ Department of Immunobiology, Institute of Biological Sciences, Faculty of Biology and Biotechnology, Maria Curie-Skłodowska University, Akademicka 19 Str., 20-033 Lublin, Poland.

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.

Keywords: Acarapis woodi; Anthropocene; Apicystis spp.; Crithidia spp.; NGS, Apis cerana; Nosema sp.; Trypanosomatida; neogregarines.