Literature DB >> 24130371

Genome-wide microsatellite characterization and marker development in the sequenced Brassica crop species.

Jiaqin Shi1, Shunmou Huang, Jiepeng Zhan, Jingyin Yu, Xinfa Wang, Wei Hua, Shengyi Liu, Guihua Liu, Hanzhong Wang.   

Abstract

Although much research has been conducted, the pattern of microsatellite distribution has remained ambiguous, and the development/utilization of microsatellite markers has still been limited/inefficient in Brassica, due to the lack of genome sequences. In view of this, we conducted genome-wide microsatellite characterization and marker development in three recently sequenced Brassica crops: Brassica rapa, Brassica oleracea and Brassica napus. The analysed microsatellite characteristics of these Brassica species were highly similar or almost identical, which suggests that the pattern of microsatellite distribution is likely conservative in Brassica. The genomic distribution of microsatellites was highly non-uniform and positively or negatively correlated with genes or transposable elements, respectively. Of the total of 115 869, 185 662 and 356 522 simple sequence repeat (SSR) markers developed with high frequencies (408.2, 343.8 and 356.2 per Mb or one every 2.45, 2.91 and 2.81 kb, respectively), most represented new SSR markers, the majority had determined physical positions, and a large number were genic or putative single-locus SSR markers. We also constructed a comprehensive database for the newly developed SSR markers, which was integrated with public Brassica SSR markers and annotated genome components. The genome-wide SSR markers developed in this study provide a useful tool to extend the annotated genome resources of sequenced Brassica species to genetic study/breeding in different Brassica species.

Entities:  

Keywords:  brassica; database; distribution; marker; microsatellite

Mesh:

Substances:

Year:  2013        PMID: 24130371      PMCID: PMC3925394          DOI: 10.1093/dnares/dst040

Source DB:  PubMed          Journal:  DNA Res        ISSN: 1340-2838            Impact factor:   4.458


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