Heat-Shock Protein Gene Mapping in Plants

ISEF Category: Plant Sciences

Subcategory: Genetics and Breeding  ·  Difficulty: Advanced  ·  Setup: Home Setup  ·  Time: 1 to 2 Months

The Hook

Plants cannot run from heat. They survive by switching on heat-shock proteins, a set of stress-response helpers that protect cells when temperatures climb. You can find the genes behind that response in public databases and compare them across species. That gives you a real genomics project without needing a wet lab.

What Is It?

Heat-shock proteins, or HSPs, are proteins that help other proteins keep their shape when a plant gets stressed by heat. Think of them like emergency repair crews. When temperatures rise, these helpers step in to stop damaged proteins from clumping together or breaking down.

A paralog is a gene copy that came from duplication inside a genome. Over time, those copies can keep the same job, split the job, or take on a new one. In this project, you look for HSP paralogs in a plant genome, then compare them with Arabidopsis HSPs, which are well studied and easy to use as a reference.

You are not growing plants in a lab for this idea. You are using public genome data, gene databases, and sequence comparison tools to ask which HSP genes seem related and how they group in a family tree.

Why This Is a Good Topic

This is a strong science fair topic because you can ask clear, testable questions with public data. You can compare gene families, build phylogenetic trees, and look for duplication patterns without needing expensive equipment. The project connects to heat tolerance, crop resilience, and plant breeding, which gives it real-world meaning. You also get to practice bioinformatics, sequence alignment, and data interpretation, which are useful skills for later research.

Research Questions

• How does the number of heat-shock-protein paralogs differ between Cannabis sativa and Arabidopsis thaliana?
• What is the effect of using different genome databases on the set of predicted HSP paralogs?
• Does the phylogenetic clustering of Cannabis HSPs match the main HSP subfamilies found in Arabidopsis?
• To what extent do duplicated HSP genes in Cannabis show higher sequence similarity within a subfamily than between subfamilies?
• Which HSP subfamily has the most putative paralogs in the selected crop genome?
• How does the domain structure of candidate HSP paralogs compare with known Arabidopsis HSPs?

Basic Materials

• Laptop or desktop computer with internet access.
• Spreadsheet software such as Google Sheets or Excel.
• NCBI Gene and NCBI Protein databases.
• Ensembl Plants or another public plant genome database.
• BLAST search tool from NCBI or a similar public database.
• MEGA or another free phylogenetic analysis program.
• Reference sequences for Arabidopsis thaliana HSP genes from a public database.

Advanced Materials

• Access to a university or research cluster computer if genome files are large.
• Command-line BLAST+ tools.
• Python with Biopython for sequence handling.
• R with ape or ggtree for tree visualization.
• Pfam or InterPro domain annotation access.
• Multiple public crop genome assemblies for cross-species comparison.
• RNA-seq expression datasets from GEO or another public repository.

Software & Tools

• NCBI BLAST: Finds similar sequences and helps you identify candidate HSP paralogs in a crop genome.
• MEGA: Builds and visualizes phylogenetic trees from aligned protein sequences.
• MAFFT: Aligns protein sequences so you can compare conserved regions across HSP genes.
• ImageJ: Not needed for this project, so skip it unless you add figure measurements from published images.
• Google Sheets: Organizes gene IDs, sequence lengths, and classification results in one place.

Experiment Steps

1. Choose one crop genome and one reference species, then define which HSP families you will track.
2. Collect known Arabidopsis HSP protein sequences and use them as queries for database searches.
3. Screen candidate genes by sequence similarity, conserved domains, and basic annotation quality.
4. Group the candidates into subfamilies with a multiple-sequence alignment and a phylogenetic tree.
5. Compare copy number, branch patterns, and domain conservation across the selected species.
6. Plan a validation step that checks whether your candidate genes fit the expected HSP family structure.

Common Pitfalls

• Using the wrong gene model version, which can make the same HSP appear under different IDs.
• Mixing protein and nucleotide sequences in one alignment, which breaks the phylogenetic comparison.
• Treating every BLAST hit as a true paralog, which inflates the gene count with weak matches.
• Ignoring partial or low-quality annotations, which can create false families or missing domains.
• Comparing trees built from misaligned regions, which makes branch groupings look more meaningful than they are.

What Makes This Competitive

A stronger project goes beyond a simple gene list. You can compare several crop genomes, test whether duplication patterns differ by HSP subfamily, and back up your tree with domain analysis and annotation quality checks. You can also ask whether certain paralogs look more conserved in crops tied to heat stress or breeding interest. That kind of careful comparison shows real judgment, not just database searching.

Project Variations

• Use rice, maize, or tomato instead of Cannabis sativa to avoid database access issues and compare a more standard crop genome.
• Focus on one HSP family, such as HSP70 or small HSPs, and test whether its paralogs cluster by subcellular location.
• Add expression data from public RNA-seq studies to see which candidate paralogs respond most strongly to heat stress.

Learn More

• NCBI Gene: Search gene records, annotations, and linked protein sequences for HSP family members.
• NCBI BLAST: Compare your candidate sequences against public databases to find close matches and likely paralogs.
• Ensembl Plants: Find plant genome assemblies, gene models, and comparative genomics tools for crop species.
• MAFFT documentation: Learn how to align protein sequences before building a phylogenetic tree.
• MEGA documentation and tutorials: Build and interpret phylogenetic trees from your aligned HSP sequences.
• NCBI Bookshelf: Search for free textbook chapters on molecular evolution, gene duplication, and plant stress biology.