Characterization of EST-derived microsatellite loci in Saruma henryi Oliv., an endangered Chinese endemic herb

Zhou, Tian-Hua, Zhao, Gui-Fang, Li, Shan, and Qian, Zeng-Qiang (2009) Characterization of EST-derived microsatellite loci in Saruma henryi Oliv., an endangered Chinese endemic herb. Conservation Genetics, 1 (1). pp. 67-70.

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Saruma henryi Oliv. is an endangered perennial herb endemic to China, and possesses high phylogenetic, ecological and medicinal values. In this study, 12 polymorphic microsatellite markers were developed from publicly available expressed sequence tags (ESTs) of S. henryi. Analysis of 24 individuals from a single population showed that the number of alleles varied between 2 and 5, with an average of 3.42 per locus. However, when they were assayed against individuals from multiple populations, this value ascended to between 7 and 10, with an average of 8.42 per locus. The observed and expected heterozygosities ranged from 0.2500 to 0.7500 and from 0.4028 to 0.7648, respectively. The low within-population genetic variability (number of alleles per locus) can be attributed to the clonal growth and the predominantly selfing breeding system in this species. In addition, their cross-taxa transferability was evaluated in two cofamilial species, and polymorphic products were detected. These informative EST-derived microsatellite markers can be readily used for genetic analyses of S. henryi and related taxa.

Item ID: 7864
Item Type: Article (Research - C1)
ISSN: 1572-9737
Keywords: Aristolochiaceae, codominant markers, data mining, endemic species, expressed sequence tags, EST-SSRs, tropical biology
Date Deposited: 18 Dec 2009 00:32
FoR Codes: 06 BIOLOGICAL SCIENCES > 0604 Genetics > 060411 Population, Ecological and Evolutionary Genetics @ 60%
06 BIOLOGICAL SCIENCES > 0608 Zoology > 060808 Invertebrate Biology @ 40%
SEO Codes: 96 ENVIRONMENT > 9604 Control of Pests, Diseases and Exotic Species > 960404 Control of Animal Pests, Diseases and Exotic Species in Forest and Woodlands Environments @ 50%
97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 50%
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