When do autopolyploids need poly-sequencing data?

Area of Science:

• Genomics
• Quantitative Genetics
• Population Genetics

Background:

• The optimal sequencing depth for accurate autopolyploid genotyping remains a significant challenge, with current practices often employing high, potentially cost-prohibitive thresholds.
• Existing research lacks clear guidelines, leading to variable depth choices and increased project expenses.

Discussion:

• This work critically evaluates the necessity of stringent sequencing depth requirements for autopolyploid genotyping.
• It explores scenarios where more relaxed depth thresholds are sufficient for achieving research objectives.
• Probabilistic calculations of homologue sampling at varying depths support the argument for optimized depth selection.

Key Insights:

• Lower sequencing depth thresholds can yield genotyping accuracy comparable to high-depth approaches for many quantitative genetics applications.
• Understanding the probability of sampling homologous alleles is key to setting appropriate sequencing depth.
• The utility and inherent uncertainties of continuous allelic dosage estimation are examined as an alternative to discrete methods.

Outlook:

• Future research should focus on establishing evidence-based guidelines for sequencing depth in autopolyploid studies.
• Developing cost-effective genotyping strategies without sacrificing accuracy is essential for broader accessibility.
• Further investigation into continuous allelic dosage methods will refine quantitative genetics analyses in polyploid populations.