Literature DB >> 18584177

ATG-anchored AFLP (ATG-AFLP) analysis in cotton.

Yingzhi Lu1, Jessica Curtiss, Danielle Miranda, Ed Hughs, Jinfa Zhang.   

Abstract

Amplified fragment length polymorphism (AFLP) marker system has had broad applications in biology. However, the anonymous AFLP markers are mainly amplified from non-coding regions, limiting their usefulness as a functional marker system. To take advantages of the traditional AFLP techniques, we propose substitution of a restriction enzyme that recognizes a restriction site containing ATG, called ATG-anchored AFLP (ATG-AFLP) analysis. In this study, we chose NsiI (recognizing ATGCAT) to replace EcoRI in combination with MseI to completely digest genomic DNA. One specific adaptor, one pre-selective primer and six selective amplification primers for the NsiI site were designed for ligation and PCR. Six NsiI and eight MseI primers generated a total of 1,780 ATG-AFLP fragments, of which 750 (42%) were polymorphic among four genotypes from two cultivated cotton species (Upland cotton, Gossypium hirsutum and Pima cotton, G. barbadense). The number of ATG-AFLP markers was sufficient to separate the four genotypes into two groups, consistent with their evolutionary and breeding history. Our results also showed that ATG-AFLP generated less number of total and polymorphic fragments per primer combination (2-3 vs. 4-5) than conventional AFLP within Upland cotton. Using a recombination inbred line (RIL) population, 62 polymorphic ATG-AFLP markers were mapped to 19 linkage groups with known chromosome anchored simple sequence repeat (SSR) markers. Of the nine ATG-AFLP fragments randomly chosen, three were found to be highly homologous to cotton cDNA sequences. An in-silico analysis of cotton and Arabidopsis cDNA confirmed that the ATG-anchored enzyme combination NsiI/MseI did generate more fragments than the EcoRI/MseI combination.

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Year:  2008        PMID: 18584177     DOI: 10.1007/s00299-008-0568-z

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


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