Olfactory receptor genes expression in Tuta absoluta: A pathway to targeted control strategies
Data files
Apr 07, 2025 version files 13.95 GB
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README.md
3.36 KB
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Tuta_absoluta_assembled_transcripts.zip
91.84 MB
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Tuta_absoluta_raw.zip
13.86 GB
Abstract
The tomato leaf miner, Tuta absoluta (Meyrick), is a major agricultural pest with a highly specialized olfactory system that governs host localization, mate selection, and oviposition. Despite the critical role of olfaction in its invasive success, the genome-wide expression of olfactory receptors (ORs) remains poorly understood. This study employs RNA sequencing and transcriptomic analysis to characterize the differential expression of ORs, ionotropic receptors (IRs), and gustatory receptors (GRs) across sensory tissues (antennae vs. maxillary palps), sex (male vs. female), and mating status (virgin vs. mated).These data represents raw and assembled transcriptome sequences for functional annotation to identify a diverse repertoire of chemosensory receptors in the chemosensory tissues of T. absoluta. By integrating transcriptomic insights with ecological and behavioral contexts, this study provides a foundation for novel, olfaction-based pest management strategies against T. absoluta.
Dataset DOI: 10.5061/dryad.0rxwdbsc1
Description of the data and file structure
#Transcriptomic Dataset of Tuta absoluta Olfactory Tissues\
Dataset Overview
This dataset contains raw sequencing reads (FASTQ files) and Trinity-assembled transcriptomes from eight samples of insect sensory tissues (antennae and maxillary palps) across sexes (male/female) and mating statuses (virgin/mated). The data were generated to investigate differential expression of olfactory receptors and other chemosensory genes associated with host-seeking, mating, and reproductive behaviors.
Dataset Structure
1. Raw Data
- Description: Untrimmed, raw RNA-seq reads in FASTQ format.
- Files: 8 FASTQ files (one per sample), labeled as:
AMM.fastq: Antennal tissue, Male, MatedAFM.fastq: Antennal tissue, Female, MatedAMV.fastq: Antennal tissue, Male, VirginAFV.fastq: Antennal tissue, Female, VirginMMM.fastq: Maxillary palps, Male, MatedMFM.fastq: Maxillary palps, Female, MatedMMV.fastq: Maxillary palps, Male, VirginMFV.fastq: Maxillary palps, Female, Virgin
2. Processed Data (Trinity Assemblies)
- Description: De novo transcriptome assemblies generated using Trinity v2.13.2. Each assembly corresponds to one of the eight samples.
- Files: 1 compressed folder containing eight samples), labeled as:
AMM_Trinity.fasta,AFM_Trinity.fasta, …,MFV_Trinity.fasta
- Assembly Details:
- Trinity parameters: Default settings (
--seqType fq --max_memory 50G). - Quality control: Raw reads were trimmed using Trimmomatic v0.39 (adapters removed, minimum Phred score = 20).
- Trinity parameters: Default settings (
Sample Naming Convention
Each sample code is a 3-letter abbreviation:
- First letter: Tissue type
- A: Antennae
- M: Maxillary palps
- Second letter: Sex
- M: Male
- F: Female
- Third letter: Mating status
- M: Mated
- V: Virgin
Example:
AMM= Antennae, Male, MatedMFV= Maxillary palps, Female, Virgin
Experimental Context
- Organism: Tuta absoluta
- Tissue Source: Antennae and maxillary palps dissected from adult insects.
- Sequencing Platform: Illumina NovaSeq 6000 (paired-end, 150 bp reads).
- Biological Replicates: Indicate if replicates are included; e.g., “n = 16 per sample group”.
Recommended Use Cases
- Raw FASTQ Files: For reanalysis of read alignment, differential expression (e.g., using tools like HISAT2, Salmon, or Kallisto), or quality control.
- Trinity Assemblies: For transcript quantification, annotation (e.g., BLAST, InterProScan), or comparative analysis of tissue-/sex-specific gene expression.
Ethics and Attribution
- License: CC0 1.0 Universal (CC0 1.0).
- Citation: If using this dataset, please cite both this Dryad repository and the associated publication: [Insert publication citation here].
Contact
For questions, contact:
- Name: Edson Ishengoma
- Email: edson.ishengoma@udsm.ac.tz
- Institution: Mkwawa University College of Education
Acknowledgments: Sequencing was supported by Mkwawa University College