OliveAtlas

OliveAtlas provides a gene expression atlas for Olea europaea L., integrating 70 RNA-seq experiments across 10 datasets to support analysis of organ-specific, reproductive, and stress-responsive transcriptional programs.


Key Features:

  • Extensive RNA-seq Data: Contains 70 RNA sequencing (RNA-seq) experiments organized into 10 datasets covering main plant organs, pollen germination, pollen tube elongation, and responses to biotic and abiotic stresses.
  • Bioinformatics tools: Offers gene comparisons, replicate inspection, gene set enrichment analyses, and data download for downstream analysis.
  • Visualization methods: Provides visualization methods for interpreting gene expression patterns across experimental conditions.
  • Reference genome utilization: Uses the 'Picual' genome reference for genomic context and annotation.

Scientific Applications:

  • Organ and reproductive biology: Enables analysis of transcriptional programs underlying organ development, pollen germination, and pollen tube elongation in Olea europaea L.
  • Stress response and breeding: Supports investigation of biotic and abiotic stress responses to inform breeding programs aimed at enhancing stress resilience.
  • Plant genomics and crop improvement: Facilitates gene-level studies relevant to improving olive yield, oil quality, and adaptation to diverse climates.

Methodology:

Seventy RNA-seq experiments are organized into 10 datasets based on the 'Picual' genome reference and analyzed via gene comparisons, replicate inspection, gene set enrichment analyses, and visualization methods.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
PHP
Added:
11/7/2023
Last Updated:
11/24/2024

Operations

Publications

Bullones A, Castro AJ, Lima-Cabello E, Alché JdD, Luque F, Claros MG, Fernandez-Pozo N. OliveAtlas: A Gene Expression Atlas Tool for Olea europaea. Plants. 2023;12(6):1274. doi:10.3390/plants12061274. PMID:36986964. PMCID:PMC10053119.

PMID: 36986964
Funding: - Junta de Andalucía: 20224AT004, EMERGIA20_00286, P18-RT-1577, PID2020-113324GB-100, PID2020-115853RR-C33, PID2021-125805OA-I00, PYC20 RE 009 CSIC. EEZ y UMA20-FEDERJA-029, RYC2020-030219-I, TED2021-130015B-C21, TED2021-130015B-C22 - Ministerio de Ciencia e Innovación: 20224AT004, EMERGIA20_00286, P18-RT-1577, PID2020-113324GB-100, PID2020-115853RR-C33, PID2021-125805OA-I00, PYC20 RE 009 CSIC. EEZ y UMA20-FEDERJA-029, RYC2020-030219-I, TED2021-130015B-C21, TED2021-130015B-C22

Links