MISA
MISA identifies and localizes simple sequence repeats (SSRs), including perfect and compound microsatellites interrupted by a defined number of bases, within nucleotide sequences to support SSR marker development, genetic mapping, and diversity analysis.
Key Features:
- Identification of SSRs: Detects dimeric, trimeric, tetrameric and higher-order repeat motifs and localizes perfect microsatellites within nucleotide sequences.
- Compound SSR detection: Identifies compound microsatellites that are interrupted by a defined number of bases.
- EST database analysis: Has been applied to large-scale expressed sequence tag (EST) datasets, for example barley ESTs comprising 24,595 sequences.
- Marker development support: Facilitates identification of polymorphic SSR loci among cultivars or populations and supports designing primer pairs flanking SSR loci.
Scientific Applications:
- Genetic Mapping: Integration of EST-derived SSR markers into a barley genetic consensus map for linkage analysis.
- Polymorphism Analysis: Assessment of polymorphism levels among SSRs with observed correlations between repeat number and polymorphic variation.
- Cross-Species Transferability: Development of SSR markers transferable to related species such as rye, wheat, rice, and Hordeum bulbosum.
- cDNA-SSR Development: Exploitation of EST databases for development of cDNA-based microsatellite markers.
- Comparative Genomics: Generation of SSR-based diversity patterns comparable to those obtained from RFLP markers for cross-species comparisons.
Methodology:
Scans nucleotide sequences to identify repeat motifs and localize perfect and compound SSRs; aids in designing primer pairs flanking SSR loci; analyzes EST-derived SSRs for polymorphism and diversity assessment.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Perl
- Added:
- 8/3/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Thiel T, Michalek W, Varshney R, Graner A. Exploiting EST databases for the development and characterization of gene-derived SSR-markers in barley (Hordeum vulgare L.). Theoretical and Applied Genetics. 2003;106(3):411-422. doi:10.1007/s00122-002-1031-0. PMID:12589540.