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Title: VARIATION OF MICROSATELLITE MARKERS AMONG PARENTAL VARIETIES OF FIVE MAPPING POPULATIONS IN PAPAYA

Author
item EUSTICE, M - HARC
item LAI, CWJ - UNIV HAWAII
item YU, Q - HARC
item Moore, Paul
item PRETING, GG - UNIV HAWAII
item MING, R - UNIV ILLINOIS

Submitted to: Plant Biology
Publication Type: Abstract Only
Publication Acceptance Date: 3/24/2006
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Microsatellites, or simple sequence repeats (SSRs), are tandemly repeated mono- to hexa-nucleotide sequence motifs that frequently differ among the different members of a species. Due to their co-dominant nature, ability to detect high levels of allelic diversity, and ubiquitous distribution, they have been widely used as genetic markers. Genomic research on papaya (Carica papaya L.) is rapidly advancing and has recently yielded significant quantities of sequence data. We used 1.3 mega base (Mb) random genomic sequences, 21.8 Mb bacterial artificial chromosome end sequences (BES), and 5.7 Mb of cDNA sequences for mining microsatellites. A total of 919 SSR markers were identified with sufficient flanking sequences to permit amplification. The SSRs were screened on parents of five mapping populations to test for polymorphism. The highest level of polymorphism, with 301 polymorphic markers, was between the Hawaii cultivar SunUp and the unimproved Israeli variety AU9. UH928 and UH918, two unimproved varieties crossed with SunUp, followed close behind with 248 and 239 polymorphic markers, respectively. Next lower with 175 polymorphic markers was 2H94, a small fruit mutant crossed with the Thai variety Khak dam. The lowest level, with 165 polymorphic markers, was between the two closely related varieties SunUp and Kapoho. The level of polymorphism among the five parental varieties was highest between the unimproved germplasm and the cultivated varieties. This undoubtedly reflects the relatedness of the varieties tested. The availability of these SSRs will greatly assist in the genetic and physical mapping of the papaya genome as well as enhance the potential for papaya improvement.