SNPidentifier

SNPidentifier predicts single nucleotide polymorphisms (SNPs) within expressed sequence tag (EST) clusters to identify polymorphic sites for quantitative trait loci mapping, association studies, and marker-assisted selection, including applications in Litopenaeus vannamei (Pacific white shrimp).


Key Features:

  • Compatibility with CAP3 clusters: Processes EST clusters generated by the CAP3 program and identifies potential SNPs without requiring chromatogram sequence quality information.
  • Quality control: Applies a poor-quality nucleotide (N) frequency threshold of <0.1 and trims the first 10 bases from each sequence.
  • Conservative SNP prediction criteria: Calls SNPs only if the minor allele frequency >0.1, the minor nucleotide is observed at least four times, and the 15 bases flanking each candidate SNP exactly match the consensus sequence.
  • Tandem repeat handling and dataset processing: Sequences are manually screened and masked for tandem repeats prior to CAP3 clustering, exemplified by analysis of 25,937 ESTs producing 3,532 contigs.
  • Prediction output and validation statistics: In the L. vannamei study, the tool predicted 504 SNPs from 141 contigs and validation by sequencing 18 individuals from three lines confirmed 44% (17 out of 39) of tested SNPs.

Scientific Applications:

  • Quantitative trait loci (QTL) mapping: Identification of SNPs in EST clusters to support QTL mapping in species lacking full genomic sequences.
  • Association studies: Discovery of polymorphic sites for genotype–phenotype association analyses.
  • Marker-assisted selection: Generation of SNP markers to inform marker-assisted selection in breeding programs, including aquaculture species such as L. vannamei.
  • Genetic studies in non-model species: Enables SNP discovery from EST data where whole-genome sequences are unavailable.

Methodology:

Sequences are manually screened and masked for tandem repeats, clustered with CAP3, processed without chromatogram quality input, trimmed by 10 bases, filtered for N frequency <0.1, and candidate SNPs are called using criteria of minor allele frequency >0.1, ≥4 observations of the minor nucleotide, and exact 15-base flanking matches to the consensus.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Perl
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Gorbach DM, Hu Z, Du Z, Rothschild MF. SNP discovery in <i>Litopenaeus vannamei</i> with a new computational pipeline. Animal Genetics. 2009;40(1):106-109. doi:10.1111/j.1365-2052.2008.01792.x. PMID:18828861.

Documentation

Links