POPDIST

POPDIST calculates genetic identities and distances between polyploid populations using maximum-likelihood and band-sharing approaches to address ambiguous genotype representations in organisms with varying ploidy levels.

Key Features:

• Genetic Identity Estimation: Provides maximum-likelihood estimates of genetic identities for polyploid populations, accounting for ambiguous genotype calls (e.g., phenotype AB may correspond to ABB or AAB).
• Phylogeny and Distance Measures: Reconstructs phylogenetic relationships and computes genetic distances among populations with complex ploidy structures.
• Band-Sharing Measure Integration: Incorporates Nei's identity based on shared 'bands' between populations to estimate genetic identity when allele frequency data are ambiguous or insufficient.
• Versatile Estimation Options: Version 1.2.0 provides options to select between maximum-likelihood estimators and band-sharing measures for identity and distance estimation.

Scientific Applications:

• Evolutionary Biology: Estimates genetic identities and distances in polyploid species to support studies of evolutionary relationships.
• Population Structure Analysis: Characterizes genetic structure within and between polyploid populations across different ploidy levels.
• Analysis of Complex Genomic Architectures: Applies to cases such as triploids and other polyploids where direct gene counting is impractical due to ambiguous genotypes.

Methodology:

Employs a phenotype-counting approach and maximum-likelihood estimation to derive genetic identities and distances, and integrates band-sharing measures based on Nei's identity.