polyqtlR

polyqtlR performs QTL interval mapping and meiotic-pattern analysis in autopolyploid bi‑parental F1 populations to characterize the genetic architecture of quantitative traits in outcrossing polyploid crops.


Key Features:

  • Ploidy-Level Flexibility: Handles QTL interval mapping across a range of ploidy levels in outcrossing polyploid crops.
  • Identity-by-Descent (IBD) Probabilities: Estimates identity-by-descent (IBD) probabilities for inference of inheritance patterns and QTL detection.
  • Allelic Composition Exploration: Explores the allelic composition of identified QTLs to identify and track favorable alleles within populations.
  • Visualization Tools: Produces visualizations of genetic data and QTL results to aid interpretation of mapping outputs.
  • Inclusion of Genetic Co-factors and Experimental Factors: Incorporates genetic co-factors and experimental factors into analyses to account for additional sources of variation.
  • Meiotic Pattern Analysis: Predicts multivalent pairing structures, detects preferential chromosomal pairing, and locates double reduction events.

Scientific Applications:

  • Breeding and genetic improvement of polyploid crops: Supports analysis of phenotypic variation and identification of QTLs underlying traits such as yield and disease resistance in autopolyploid breeding populations.

Methodology:

Performs QTL interval mapping using identity-by-descent (IBD) probabilities within F1 populations of outcrossing polyploids.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Windows
Programming Languages:
R, C++
Added:
10/26/2021
Last Updated:
1/13/2022

Operations

Publications

Bourke PM, Voorrips RE, Hackett CA, van Geest G, Willemsen JH, Arens P, Smulders MJM, Visser RGF, Maliepaard C. Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR. Bioinformatics. 2021;37(21):3822-3829. doi:10.1093/bioinformatics/btab574. PMID:34358315. PMCID:PMC8570814.

PMID: 34358315
PMCID: PMC8570814
Funding: - TKI projects: BO-26.03-002-001, TU 263 - Novel genetic and genomic tools for polyploid crops: BO-26.03-009-004, KV 1605-20 - USDA’s National Institute of Food and Agriculture: 2020-51181-32156/SCRI - ASTF: 228–2016

Documentation

Links