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[Establishment of DNA fingerprints for Chrysosplenium using SRAP Markers].

Authors: Wen, Huang; De-Qing, Lan; Rui, Qin; Hong, Liu; Gang, Li;

[Establishment of DNA fingerprints for Chrysosplenium using SRAP Markers].

Abstract

As a traditional Chinese medicinal material, Chrysosplenium is urgently needed for genetic resource investigation and protection research due to the decrease of its wild resources in recent years. After investigating the wild resources, we conducted genetic polymorphism and clustering studies of 24 species(a total of 36 samples) of Chrysosplenium using SRAP technique. The results showed that a total of 374 polymorphic bands were obtained using 18 pairs of SRAP primers to amplify these samples, on average of 20.7 bands for each primer pair. We used the biological software to analyze the population's genetic parameter and got the N_a value as 2.000 0, N_(e )value as 1.408 4, the average Nei's index as 0.263 5, and the average Shannon information index as 0.419 1. UPGMA cluster analysis showed that all the samples can be divided into three major groups at the genetic similarity coefficient of 0.70: there are 18 species(24 samples) gathered for the Ⅰ groups, 3 species or variation(7 samples) for Ⅱ groups, and 3 species(5 samples) for Ⅲ groups. The differences of these Chrysosplenium species at the molecular level are consistent with that of their geographical and ecological distribution. At the same time, we used SRAP technology to construct 36 DNA digital fingerprints of Chrysosplenium and obtained the unique molecular identification band type of each material. These results will provide effective methods and reliable basis for the identification, protection and genetic diversity analysis of the germplasm resources of Chrysosplenium, and lay a foundation for the further development and utilization of them.

Related Organizations
Keywords

Genetic Markers, Polymorphism, Genetic, Cluster Analysis, Genetic Variation, DNA Fingerprinting, Phylogeny

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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