期刊
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
卷 22, 期 21, 页码 -出版社
MDPI
DOI: 10.3390/ijms222111350
关键词
Fabaceae; genetic linkage map; genomics; in silico data mining; marker-assisted selection; plant breeding and genetics; SSR
资金
- Center for Integrated BioSystems/Department of Plants, Soils, and Climate, USU
- Utah Agricultural Experiment Station (UAES), USU
The legume SSR database is a comprehensive webserver containing SSRs from genomes of 13 legume species, offering end-to-end marker selection, primer design, validation, visualization, and genomic sequence blasting in one user-friendly interface. Users can easily browse, search, generate SSRs, design custom primers, perform in silico validation, and analyze genomic sequences through this database.
Microsatellites, or simple sequence repeats (SSRs), are polymorphic loci that play a major role as molecular markers for genome analysis and plant breeding. The legume SSR database is a webserver which contains simple sequence repeats (SSRs) from genomes of 13 legume species. A total of 3,706,276 SSRs are present in the database, 698,509 of which are genic SSRs, and 3,007,772 are non-genic. This webserver is an integrated tool to perform end-to-end marker selection right from generating SSRs to designing and validating primers, visualizing the results and blasting the genomic sequences at one place without juggling between several resources. The user-friendly web interface allows users to browse SSRs based on the genomic region, chromosome, motif type, repeat motif sequence, frequency of motif, and advanced searches allow users to search based on chromosome location range and length of SSR. Users can give their desired flanking region around repeat and obtain the sequence, they can explore the genes in which the SSRs are present or the genes between which the SSRs are bound design custom primers, and perform in silico validation using PCR. An SSR prediction pipeline is implemented where the user can submit their genomic sequence to generate SSRs. This webserver will be frequently updated with more species, in time. We believe that legumeSSRdb would be a useful resource for marker-assisted selection and mapping quantitative trait loci (QTLs) to practice genomic selection and improve crop health. The database can be freely accessed at http://bioinfo.usu.edu/legumeSSRdb/.
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