Entomology · Paper · 2023

A snapshot and pipeline for tissue-specific gene expression meta-analysis in honey bees

Daniel Ari Friedman, Chao Tong, Timothy A. Linksvayer, Matthias Freund, Nicole Weronika Keough, Brian Johnson

Zenodo

Catalog Row47
Citation KeyFriedman2023SnapshotPipelineTissueSpecific047
Paper FolderAvailable
Platform availability

Overview

Extracted from the local paper documentation when available.

The genetic basis of phenotypic novelty is a major unresolved question in evolutionary biology. We investigate how large-scale coding sequence change underlies the evolution of postdevelopmental novelty in honey bees (Apis mellifera). Using RNA-Seq, we show that novel honey bee tissues are enriched for rapidly evolving genes and taxonomically restricted genes (TRGs), supporting the hypothesis...

honey beesApis melliferagene expressionRNA-Seqnovel traitstaxonomically restricted genescoding sequence evolution

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • The honey bee ( Apis mellifera ) is a pivotal species in both ecological and research contexts, serving as a model organism for studying complex social behavior and physiological processes..
  • A critical aspect of understanding these complexities is the analysis of tissue-specific gene expression (TSGE), a challenging task due to the need to handle large bioinformatics data and manual tissue processing..
  • In this study, we present a meta-analytic approach to investigate TSGE in A. mellifera , harnessing various open-source bioinformatics packages..
Methods / Techniques
  • Field observation and behavioral assays
  • Population genetics analysis

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2023. A snapshot and pipeline for tissue-specific gene expression meta-analysis in honey bees. Zenodo. DOI: 10.5281/zenodo.10400744. URL: https://doi.org/10.5281/zenodo.10400744.

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