Development and integration of EST–SSR markers into an established linkage map in switchgrass

被引:0
作者
Linglong Liu
Yalin Huang
Somashekhar Punnuri
Tim Samuels
Yanqi Wu
Ramamurthy Mahalingam
机构
[1] Oklahoma State University,Department of Plant and Soil Sciences
[2] Nanjing Agricultural University,National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center
[3] Nanjing Forest Police College,Agricultural Research Station
[4] Fort Valley State University,Department of Biochemistry and Molecular Biology
[5] Oklahoma State University,undefined
来源
Molecular Breeding | 2013年 / 32卷
关键词
Simple sequence repeat (SSR); Expressed sequence tag (EST); Linkage map; Switchgrass;
D O I
暂无
中图分类号
学科分类号
摘要
Switchgrass (Panicum virgatum L.) is a model cellulosic biofuel crop in the United States. Simple sequence repeat (SSR) markers are valuable resources for genetic mapping and molecular breeding. A large number of expressed sequence tags (ESTs) of switchgrass are recently available in our sequencing project. The objectives of this study were to develop new SSR markers from the switchgrass EST sequences and to integrate them into an existing linkage map. More than 750 unique primer pairs (PPs) were designed from 243,600 EST contigs and tested for PCR amplifications, resulting in 538 PPs effectively producing amplicons of expected sizes. Of the effective PPs, 481 amplifying informative bands in NL94 were screened for polymorphisms in a panel consisting of NL94 and its seven first-generation selfed (S1) progeny. This led to the selection of 117 polymorphic EST–SSRs to genotype a mapping population encompassing 139 S1 individuals of NL94. Of 83 markers demonstrating clearly scorable alleles in the mapping population, 79 were integrated into a published linkage map, with three linked to accessory loci and one unlinked. The newly identified EST–SSR loci were distributed in 17 of 18 linkage groups with 27 (32.5 %) exhibiting distorted segregations. The integration of EST–SSRs aided in reducing the average marker interval (cM) to 3.7 from 4.2, and reduced the number of gaps (each >15 cM) to 10 from 23. Developing new EST–SSRs and constructing a higher density linkage map will facilitate quantitative trait locus mapping and provide a firm footing for marker-assisted breeding in switchgrass.
引用
收藏
页码:923 / 931
页数:8
相关论文
共 163 条
  • [1] Anhalt UC(2008)Segregation distortion in Theor Appl Genet 117 297-306
  • [2] Heslop-Harrison PJ(1983): evidence for genetic effects Theor Appl Genet 67 35-43
  • [3] Byrne S(2007)Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs Curr Opin Genet Dev 17 553-558
  • [4] Guillard A(2010)Molecular breeding of switchgrass for use as a biofuel crop Plant Gen 3 130-141
  • [5] Barth S(1994)Genome-size variation in switchgrass ( J Hered 85 410-413
  • [6] Beckmann JS(2008)): flow cytometry and cytology reveal rampant aneuploidy Int J Plant Genomics 12 13-15
  • [7] Soller M(1990)New microsatellite markers on the linkage map of the chicken genome Focus 148 479-494
  • [8] Bouton JH(1998)SSR locator: tool for simple sequence repeat discovery integrated with primer design and PCR simulation Genetics 48 501-510
  • [9] Costich DE(2002)Isolation of plant DNA from fresh tissue Plant Mol Biol 18 1161-1167
  • [10] Friebe B(2001)A high-density rice genetic linkage map with 2275 markers using a single F2 population Mol Biol Evol 7 811-820