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Updated: Aug 16, 2026

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Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization
Published on: April 14, 2016
Bacterial community data associated with Stephanitis pyri using 16S rRNA gene metabarcoding
Mario Emilio Ernesto Franco1, Óscar Crespo-Romo2, Eva Edo-Tena2
1Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Giovanni Amendola 165/A, 70126 Bari, Italy.
Data in Brief
|August 15, 2026
Summary
This study details the bacterial communities in pear lace bugs from Spain. Understanding this insect
Area of Science:
- Microbial Ecology
- Entomology
- Genomics
Background:
- The pear lace bug (Stephanitis pyri) is a significant pest in organic orchards.
- Associated microorganisms can influence pest adaptation and survival in new environments.
Purpose of the Study:
- To characterize the bacterial profile of Stephanitis pyri.
- To provide a dataset for future research on pest-microbe interactions and management.
Main Methods:
- Bacterial DNA extraction from S. pyri individuals.
- High-throughput amplicon sequencing of the 16S rRNA gene (V3-V4 region).
- Bioinformatic analysis using QIIME2 and SILVA classifier for taxonomic assignment.
Main Results:
- The study generated a comprehensive dataset of the bacterial communities associated with S. pyri.
- Sequencing data provides a baseline for understanding the insect's microbiota.
Conclusions:
- This data article serves as a foundational resource for studying the impact of microbiota on S. pyri.
- The findings support the development of integrated pest management strategies by elucidating host-microbe relationships.
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