AveDissR
AveDissR assesses genetic distinctness and redundancy in plant germplasm collections by computing average dissimilarity and integrating analysis of molecular variance (AMOVA) with principal coordinates analysis (PCoA).
Key Features:
- Integrated analyses: Combines dissimilarity calculation, analysis of molecular variance (AMOVA), and principal coordinates analysis (PCoA) within a single workflow.
- Average dissimilarity metric: Calculates the average dissimilarity of each accession relative to other accessions in the dataset.
- Marker compatibility: Supports dominant markers such as amplified fragment length polymorphisms (AFLPs) and codominant markers including simple sequence repeats (SSRs) and single-nucleotide polymorphisms (SNPs) for large datasets.
- Output generation: Produces comprehensive output files for downstream germplasm assessment and interpretation.
Scientific Applications:
- Germplasm distinctness assessment: Identifies genetically distinct or redundant accessions within plant germplasm collections.
- Unique resource identification: Detects unique genetic resources for conservation and utilization.
- Breeding program support: Informs selection and optimization in breeding programs through characterization of genetic variation.
- Biodiversity and crop improvement: Supports conservation strategies and crop improvement efforts by quantifying genetic relationships among accessions.
Methodology:
Calculates the average dissimilarity of each accession relative to others and integrates this metric with analysis of molecular variance (AMOVA) and principal coordinates analysis (PCoA).
Topics
Details
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/6/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Yang M, Fu Y. AveDissR: An R function for assessing genetic distinctness and genetic redundancy. Applications in Plant Sciences. 2017;5(7). doi:10.3732/apps.1700018. PMID:28791204. PMCID:PMC5546164.
DOI: 10.3732/apps.1700018
PMID: 28791204
PMCID: PMC5546164
Funding: - National Natural Science Foundation of China: 31670678