AMF

AMF identifies genome-wide SNPs and InDels from restriction-site associated DNA (RAD) sequencing data to support marker-assisted breeding and functional genomics analyses in rice.


Key Features:

  • Integrated RAD-Seq analysis: Integrates RAD-Seq data analysis into a single computational workflow for marker discovery in rice.
  • High-quality marker detection: Detected 90,743 markers (82,878 SNPs and 7,865 InDels) between rice varieties JP69 and Jiaoyuan5A, with SNP density 0.2 per kilobase and InDel density 0.02 per kilobase.
  • Accuracy and validation: Reported a 93% validation accuracy for genome-wide marker detection.
  • Linkage to agronomic genes: Linked 82 SNPs and 31 InDels to 117 genes associated with important agronomic traits.
  • Variety authentication and linkage-drag minimization: Identified markers for seed authenticity and variety protection (e.g., Jiaoyuanyou69) and supported recombinant selection to minimize linkage drag around the fragrant gene BADH2 in Wuxiang075/Jiachang1 recombinants.
  • Large-scale data handling: Handles large-scale RAD-Seq datasets to support marker discovery and marker-assisted selection in rice.

Scientific Applications:

  • Marker-assisted selection (MAS): Provides validated SNP and InDel markers for MAS in rice breeding programs.
  • Variety identification and protection: Generates diagnostic markers for seed authenticity and legal protection of varieties such as Jiaoyuanyou69.
  • Trait–gene association and functional genomics: Associates discovered markers with 117 genes linked to agronomic traits to support functional genomics studies.
  • Linkage drag reduction: Supports recombinant selection strategies to minimize linkage drag, exemplified by work on BADH2 in Wuxiang075/Jiachang1 recombinants.
  • Genome-wide marker discovery: Enables genome-wide discovery of SNPs and InDels from RAD-Seq in rice varieties including JP69 and Jiaoyuan5A.

Methodology:

Analysis of restriction-site associated DNA (RAD) sequencing data to detect genome-wide SNPs and InDels, compute marker densities, validate markers, and link markers to genes.

Topics

Details

License:
Other
Tool Type:
desktop application
Operating Systems:
Linux
Programming Languages:
Java
Added:
9/19/2018
Last Updated:
12/10/2018

Operations

Publications

Fan W, Zong J, Luo Z, Chen M, Zhao X, Zhang D, Qi Y, Yuan Z. Development of a RAD-Seq Based DNA Polymorphism Identification Software, AgroMarker Finder, and Its Application in Rice Marker-Assisted Breeding. PLOS ONE. 2016;11(1):e0147187. doi:10.1371/journal.pone.0147187. PMID:26799713. PMCID:PMC4723255.

Documentation

Links