Perspectives on transcriptomics in animal physiology studies.

Area of Science:

• Animal physiology and biochemistry
• Molecular biology and genomics

Background:

• Reductionist approaches are vital for understanding animal adaptation to environmental factors.
• Transcriptomics has become increasingly accessible, with over 6000 publications in the last decade quantifying transcriptomic responses to diverse environmental conditions.
• Studies have significantly advanced our understanding of the molecular mechanisms underlying organismal adaptation.

Purpose of the Study:

• To highlight the limitations of current transcriptome technologies in animal physiology.
• To guide researchers in designing experiments that strengthen physiological interpretation.
• To advocate for improved statistical analyses and experimental designs in transcriptomics.

Main Methods:

• Review of existing transcriptomics literature in animal physiology.
• Discussion of experimental design considerations, including sample size and biological variability.
• Emphasis on appropriate controls and statistical analysis for RNA sequencing (RNA-seq) data.

Main Results:

• Transcriptome snapshots are sensitive to an individual's physiological state.
• A minimum sample size of 6 is recommended for RNA-seq to confidently identify differentially expressed genes.
• High false discovery rates are a concern in RNA-seq studies, necessitating robust statistical approaches.

Conclusions:

• Animal physiologists must recognize the limitations of transcriptomics and design experiments accordingly.
• Incorporating biological variability and exploring novel statistical methods are crucial for accurate interpretation.
• Further research on reproducibility, especially in non-model organisms, and the adoption of advanced techniques like single-cell transcriptomics are encouraged.