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Title: Development and characterization of nuclear microsatellite markers in Aphananthe aspera (Thunb.) Planch. (Cannabaceae)
Authors: Sakagami, Taishi
Sakaguchi, Shota  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-6180-1747 (unconfirmed)
Isagi, Yuji  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-9777-076X (unconfirmed)
Setoguchi, Hiroaki  kyouindb  KAKEN_id
Author's alias: 阪口, 翔太
井鷺, 裕司
瀬戸口, 浩彰
Keywords: Aphananthe aspera
Cannabaceae
genetic diversity
microsatellite markers
Issue Date: Mar-2020
Publisher: Taylor & Francis
Journal title: Journal of Forest Research
Volume: 25
Issue: 2
Start page: 120
End page: 123
Abstract: Nuclear microsatellite markers were developed for Aphananthe aspera (Thunb.) Planch. (Cannabaceae), a deciduous canopy tree species distributed in East Asia, to evaluate the genetic diversity and genetic structure of A. aspera populations in remnant forest fragments in urbanized areas of Japan. A total of 94 primer pairs were designed based on genomic sequence data. Of the 25 primer pairs which showed clear microsatellite peaks, 20 pairs showed allelic polymorphisms in 57 individuals collected from two distant populations. The length of PCR products ranged from 120 to 482 bp, and expected heterozygosity for the 20 microsatellite markers ranged from 0.017 to 0.768. These newly developed simple sequence repeat markers will be used in population genetic studies of A. aspera to evaluate genetic diversity and the extent of genetic isolation of the fragmented populations in urban areas.
Rights: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Forest Research on 24 March 2020, available online: http://www.tandfonline.com/10.1080/13416979.2020.1744232.
The full-text file will be made open to the public on 24 March 2021 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.
この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
This is not the published version. Please cite only the published version.
URI: http://hdl.handle.net/2433/251018
DOI(Published Version): 10.1080/13416979.2020.1744232
Appears in Collections:Journal Articles

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