NDLI: An Analysis of Genetic Diversity in Cyclina sinensis (Mollusca Bivalvia) of Four Geographical Populations Using AFLP Technique

Content Provider	IEEE Xplore Digital Library
Author	Pan Baoping Zhang Liyan Song Xin Gao Weiwei Yuan Yuan
Copyright Year	2010
Abstract	This article preliminarily studied the genetic diversity in 109 individuals of Cyclina sinensis (Mollusca Bivalvia) of four geographical populations distributed around China's Bohai region based on amplified fragment length polymorphism, AFLP technique. Using 6 primer pairs including E-ACT/M-CGT，a total of 90 bands were detected of which 82 bands (91.11%) were polymorphic. The diversity index of each wild population was: TG 66.67%，DG 70%，HG 76.67% and BDH 83.33% while the Nei's genetic diversity index followed 0.2149，0.2162，0.2520 and 0.2895. Analysis suggested similar genetic diversity levels among the four populations in Bohai area and there was no significant difference (P>0.05). AMOVA analysis and UPGMA analysis conducted to the genetic differentiation degree of the four groups revealed an unnoticeable level of genetic diversity, and there was a certain degree of inter-population gene flow phenomenon. The genetic variations among the individuals within one population make up the main part of the total, which accounted for 86.02% total variance. The result above agreed with the conclusion of Y. Yuan et al. (2008) on the genetic structures of different geographical populations of Cyclina sinensis distributed in Yellow Sea and Bohai region based on ITS sequencing methods.
Starting Page	1
Ending Page	4
File Size	341436
Page Count	4
File Format	PDF
ISBN	9781424447121
ISSN	21517622
DOI	10.1109/ICBBE.2010.5515259
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Water Chemistry Laboratories DNA Genomics Genetics Biochemistry Cultural differences Bioinformatics Mercury (metals)
Content Type	Text
Resource Type	Article

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