Literature DB >> 20978736

Development of 1,030 genomic SSR markers in switchgrass.

Y W Wang1, T D Samuels, Y Q Wu.   

Abstract

Switchgrass, Panicum virgatum L., a native to the tall grass prairies in North America, has been grown for soil conservation and herbage production in the USA and recently widely recognized as a promising dedicated cellulosic bioenergy crop. A large amount of codominant molecular markers including simple sequence repeats (SSRs) are required for the construction of linkage maps and implementation of molecular breeding strategies to develop superior switchgrass cultivars. The objectives of this study were (1) to identify SSR-containing clones and to design PCR primer pairs (PPs) in SSR-enriched genomic libraries, and (2) to validate and characterize the designed SSR PPs. Five genomic SSR enriched libraries were constructed using genomic DNA of 'SL93 7 × 15', a switchgrass genotype selected in an Oklahoma State University (OSU) southern lowland breeding population. A total of 3,046 clones from four libraries enriched in (CA/TG)n, (GA/TC)n, (CAG/CTG)n and (AAG/CTT)n SSR repeats were sequenced at the OSU Core Facility. From the sequences, we isolated 1,300 unique SSR-containing clones, from which we designed 1,398 PPs using SSR Locator V.1 software. Among the designed PPs, 1,030 (73.7%) amplified reproducible and strong bands with expected fragment size, and 802 detected polymorphic alleles, in SL93 7 × 15 and 'NL94 16 × 13', two parents of one mapping population. All of the four libraries contained a high rate of perfect SSR repeat types, ranging from 62.7 to 76.2%. Polymorphism of the effective SSR markers was also tested in two lowland and two upland switchgrass cultivars, encompassing 'Alamo' and 'Kanlow', and 'Blackwell' and 'Dacotah', respectively. The developed SSR markers should be useful in genetic and breeding research in switchgrass.

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Year:  2010        PMID: 20978736     DOI: 10.1007/s00122-010-1477-4

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


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