NDLI: Characterization, development and exploitation of EST-derived microsatellites in Gossypium raimondii Ulbrich

Content Provider	Springer Nature Link
Author	Wang, Changbiao Guo, Wangzhen Cai, Caiping Zhang, Tianzhen
Copyright Year	2006
Abstract	Microsatellite DNA or simple sequence repeats (SSRs) can be derived from expressed sequence tags (ESTs). These markers are important for gene mapping as well as marker-assisted selection (MAS). To develop EST-SSRs for cotton gene mapping, we selected and characterized functional markers in Gossypium raimondii, which consisted of 58906 non-redundant EST sequences from NCBI. Among them there were 2620 microsatellite sequences containing 2818 EST-SSRs, which amounted to 4.45% of the non-redundant starting sequence population. This incidence was equivalent to one EST-SSR in every 14.8 kb of G. raimondii genetic material. Among the different motifs ranging from 1 to 6 bp, trinucleotide repeats were most abundant (38.31%), followed by dinucleotide repeats (24.09%) and mononucleotide repeats (23.35%). Among all identified motif types, A/T had the highest frequency (18.67%), followed by AT/TA (14.83%). Among the compound motifs, tandem trinucleotides occurred with the highest frequency (48.65%). In all, we identified 1554 EST-SSRs primer pair sequences. 300 of them were randomly selected to screen the polymorphisms between the mapping parents G. hirsutum acc. TM-1 and G. barbadense cv. Hai7124, to construct linkage groups in cultivated allotetraploid cotton. Among them, 129 (43%) primer pairs were found to have polymorphisms. Using these EST-SSRs we can compare EST-SSR distributions among different cotton species and various chromosomal locations.
Starting Page	557
Ending Page	561
Page Count	5
File Format	PDF
ISSN	10016538
Journal	Chinese Science Bulletin
Volume Number	51
Issue Number	5
e-ISSN	18619541
Language	English
Publisher	Science in China Press
Publisher Date	2006-01-01
Publisher Place	Beijing
Access Restriction	Subscribed
Subject Keyword	Gossypium raimondii Ulbrich EST-SSRs distribution molecular marker polymorphism Chemistry/Food Science Geosciences Life Sciences Physics Engineering Science
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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