Construction of EST-SSR Databases for Effective Cultivar Identification and Their Applicability to Complement for Lettuce (Lactuca sativa L.) Distinctness Test
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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53239#.VLh24MnQrzE
Affiliation(s)
1Seed
Testing & Research Center, Korea Seed & Variety Service,
Ministry of Agriculture, Food and Rural Affairs, Gimcheon, Korea.
2Department of Bioresources and Food Science, Konkuk University, Seoul, Korea.
3Department of Genetic Engineering, College of Natural Resources and Life Science, Dong-A University, Busan, Korea.
2Department of Bioresources and Food Science, Konkuk University, Seoul, Korea.
3Department of Genetic Engineering, College of Natural Resources and Life Science, Dong-A University, Busan, Korea.
ABSTRACT
The
objectives of this study were to construct a database of expressed
sequence tag (EST)-simple sequence repeat (SSR) markers to identify
lettuce cultivars. A set of 370 EST-SSR primer pairs were applied for
fingerprinting the lettuce cultivars. Fifty-eight EST-SSR markers showed
hy-per-variability and were able to differentiate 92 cultivars. A total
of 176 polymorphic amplified fragments were obtained by the 58 markers,
and two to eight SSR alleles were detected for each l°Cus with an
average of three alleles per locus. Average polymorphism information
content (PIC) was 0.425, ranging from 0.022 to 0.743. Cluster analysis
was based on Jaccard’s distance coefficients using the method of
unweighted pair group. In this method we used arithmetical averages
(UPGMA) algorithm categorized 4 major groups, which were in accordance
to morphological traits. The eight cultivars of three groups with 100%
genetic similarity through SSR analysis were investigated by phenotypic
traits. These cultivars including these pairs are very similar in 27
morphological characteristics. Therefore, these EST-SSR markers could be
used to select similar cultivars through management of reference
collection to complement distinctiveness test of lettuce cultivars.
KEYWORDS
Cite this paper
References
Hong,
J. , Kwon, Y. , Mishra, R. and Kim, D. (2015) Construction of EST-SSR
Databases for Effective Cultivar Identification and Their Applicability
to Complement for Lettuce (Lactuca sativa L.) Distinctness Test. American Journal of Plant Sciences, 6, 113-125. doi: 10.4236/ajps.2015.61013.
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