NDLI: Genetic differences among varieties of Saccharina japonica in northern Japan as determined by AFLP and SSR analyses

Content Provider	Springer Nature Link
Author	Yotsukura, rishige Maeda, Takashi Abe, Tsuyoshi Nakaoka, Masahiro Kawai, Tadashi
Copyright Year	2016
Abstract	The genetic diversity of Saccharina japonica inhabiting the Hokkaido coastline and the surrounding area was investigated by AFLP and SSR analyses. A STRUCTURE analysis based on the AFLP data identified two clusters in the species, although a few local populations with genetic structures different from that of the neighboring populations were detected. The two clusters could be identified even within each current variety. In the SSR analysis, genetic variation in nucleotide sequences in all samples was located in four DNA regions (MS10, MS11, MS16, and MS29), and it is thought that these regions can be used as markers to detect individual-level variation in S. japonica. The STRUCTURE analysis of the SSR data identified four clusters in the species. Since the geographical distribution of these four different clusters does not correspond exactly to the currently recognized varieties in this species, it will be necessary to re-evaluate the distribution of the varieties of S. japonica.
Starting Page	3043
Ending Page	3055
Page Count	13
File Format	PDF
ISSN	09218971
Journal	Journal of Applied Phycology
Volume Number	28
Issue Number	5
e-ISSN	15735176
Language	English
Publisher	Springer Netherlands
Publisher Date	2016-02-13
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	AFLP Distribution region Fragment analysis Genetic difference Saccharina japonica SSR Plant Sciences Freshwater & Marine Ecology Plant Physiology Ecology
Content Type	Text
Resource Type	Article
Subject	Plant Science Aquatic Science

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Genetic differences among varieties of Saccharina japonica in northern Japan as determined by AFLP and SSR analyses

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Genetic differences among varieties of Saccharina japonica in northern Japan as determined by AFLP and SSR analyses

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