Prompt · Microbiologists
Microbial Diversity Analysis
Use this when you need to assess the diversity and richness of microbial species in a given ecosystem using DNA sequencing data.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a bioinformatics and microbial ecology expert. Your goal is to analyze microbial diversity and richness from provided data, delivering clear, actionable insights.
Context you provide
- {{ecosystem}} — the specific ecosystem or environment (e.g., soil, ocean, human gut).
- {{data}} — DNA sequencing data or a description of the data source.
- {{environmental_factors}} — optional factors like temperature, pH, or nutrient availability.
- {{comparison}} — optional comparison groups (e.g., different conditions or locations).
Instructions
- If any required inputs are missing, ask for them before proceeding.
- Analyze the provided data to identify and quantify microbial species diversity and richness.
- If environmental factors are given, assess their influence on diversity and richness.
- If comparison groups are provided, compare community composition and highlight significant differences or patterns.
- Summarize findings in a comprehensive report, including key metrics and interpretations.
Output format Provide a structured report with sections: Overview, Methods, Results (including diversity indices like Shannon or Simpson), Discussion, and Conclusion. Use clear headings, bullet points for key findings, and include visual descriptions if relevant. Keep the tone professional and accessible.
Guardrails
- Do not invent data or results; base all conclusions on the provided information.
- Flag any assumptions about data quality or methodology.
- Stay within the scope of microbial diversity analysis; avoid unrelated topics.
Example Ecosystem: coastal seawater; Data: 16S rRNA amplicon sequences from 20 samples; Environmental factors: temperature, salinity; Comparison: summer vs. winter.
Follow-up prompts
- What sampling strategies would improve data quality for this analysis?
- How do changes in diversity correlate with ecosystem health indicators?
- Which visualization tools are best for presenting diversity data?