NDLI: Analysis of genetic diversity and differentiation of artificial populations of yellowhorn (Xanthoceras sorbifolium) in China using ISSR markers

Content Provider	Springer Nature Link
Author	An, Chanhoon Lee, Hyunseok Lee, Jeonghoon Cheong, Eun Ju Li, Yuhua Yi, Jae Seon
Copyright Year	2016
Abstract	Yellowhorn (Xanthoceras sorbifolium Bunge) is a drought-tolerant tree in the family Sapindaceae that is native to northeastern China. Its remarkably oil-rich seeds are a reliable biodiesel source. An inter simple sequence repeat (ISSR) analysis showed genetic variation among four artificial populations in China: two in Inner Mongolia (IM), one in Liaoning (LN), and one in Shandong (SD). The average percentage of polymorphic loci was 81.25 % for these four populations. The Forest Farm in SD showed the highest number of effective alleles (N$_{e}$), Shannon index (I), and expected heterozygosity (H$_{e}$), i.e., 1.598, 0.470, and 0.325, respectively, but the lowest number of alleles (N$_{a}$) as 1.600. Based on an analysis of molecular variance, 23 % of the total genetic variation was found among populations, and 77 % within populations. A principal coordinate analysis revealed two groups (Group 1: Lindonglinchang, Jianping Agriculture Research Station and Forest Farm; Group 2: Jinjilinchang). Understanding the genetic diversity among artificial yellowhorn populations in China, detected using ISSRs, will be useful for yellowhorn conservation and improvement. Additional artificial and natural populations need to be included in the future for a country-wide perspective.
Starting Page	1099
Ending Page	1104
Page Count	6
File Format	PDF
ISSN	1007662X
Journal	Journal of Forestry Research
Volume Number	27
Issue Number	5
e-ISSN	19930607
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-04-06
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Differentiation Diversity ISSR Population structure Xanthoceras sorbifolium Yellowhorn Forestry
Content Type	Text
Resource Type	Article
Subject	Forestry

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