Target capture and genome skimming for plant diversity studies

Area of Science:

• Evolutionary biology
• Genomics
• Bioinformatics

Background:

• Advances in sequencing enable whole-genome studies, but obtaining high-quality DNA is difficult for many plant species, especially from historical herbarium collections or remote locations.
• Degraded DNA in herbarium samples and logistical challenges with fresh collections necessitate alternative genomic approaches for evolutionary research.
• Short-read reduced-genome representations remain crucial for studying non-model plant taxa where whole-genome sequencing is impractical.

Purpose of the Study:

• To review the advantages and disadvantages of reduced-genome representation techniques for evolutionary studies in non-model plants.
• To provide practical guidance for selecting appropriate methods based on logistics, budget, available genomic resources, and study objectives.
• To assess bioinformatic analyses, best practices, potential pitfalls, and data integration strategies for reduced-genome data.

Main Methods:

• Review of target capture and genome skimming techniques.
• Assessment of bioinformatic pipelines and downstream analyses.
• Guidance on practical considerations for researchers.

Main Results:

• Target capture and genome skimming offer valuable alternatives to whole-genome sequencing for non-model plants.
• Successful implementation depends on careful consideration of project-specific factors and available resources.
• Bioinformatic analysis requires specific best practices to avoid pitfalls and effectively integrate data.

Conclusions:

• Reduced-genome sequencing methods are essential tools for plant evolutionary studies when whole-genome sequencing is not feasible.
• Researchers can make informed decisions by considering logistical, financial, and genomic resource constraints.
• Effective bioinformatic analysis and data integration are key to maximizing the utility of reduced-genome data for evolutionary insights.