PolyOrigin

PolyOrigin reconstructs haplotypes in connected tetraploid F1 populations with shared parents to enable accurate haplotype-based analyses such as quantitative trait loci (QTL) mapping.


Key Features:

  • Novel statistical framework: A statistical framework tailored for connected tetraploid F1 populations with shared parents.
  • Parental phasing: Phases parental genotypes using an input genetic or physical map of markers.
  • Marker map refinement: Refines the input marker map to improve accuracy prior to offspring haplotype reconstruction.
  • Offspring haplotype reconstruction: Reconstructs offspring haplotypes from phased parents and marker information.
  • SNP data support: Accepts single nucleotide polymorphism (SNP) data from array-based and sequence-based genotyping.
  • Bi-allelic read count input: Uses bi-allelic read counts for sequence-based inputs to reduce genotype calling errors at low sequencing depths.
  • Robustness: Demonstrated robustness to errors in input genotypic data and marker maps via extensive simulation studies.
  • Population and depth limits: Performs effectively across various mating designs with a minimum of 30 offspring per parent and can handle sequence data with read depths as low as 10x.
  • Empirical validation: Validated on an autotetraploid potato dataset employing a 3×3 half-diallel mating design.

Scientific Applications:

  • Haplotype-based QTL mapping: Enables haplotype-based quantitative trait loci (QTL) mapping in tetraploid breeding populations.
  • Polyploid breeding analysis: Facilitates analysis of genetic diversity and inheritance in polyploid species such as autotetraploid potato.
  • Low-depth sequence analysis: Supports genotype and haplotype analysis from low to moderate-depth sequencing by leveraging bi-allelic read counts to reduce calling errors.

Methodology:

Phases parental genotypes using an input genetic or physical marker map, refines the marker map, and reconstructs offspring haplotypes using a statistical framework for connected tetraploid F1 populations; supports bi-allelic read counts as input for sequence-based genotyping.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Linux, Mac, Windows
Programming Languages:
Julia, Mathematica, R
Added:
5/18/2022
Last Updated:
5/18/2022

Operations

Publications

Zheng C, Amadeu RR, Munoz PR, Endelman JB. Haplotype reconstruction in connected tetraploid F1 populations. Genetics. 2021;219(2). doi:10.1093/genetics/iyab106. PMID:34849879. PMCID:PMC8633103.

PMID: 34849879
PMCID: PMC8633103
Funding: - USDA NIFA: 2019-67013-29166

Links