Phylogenetic Analysis of Thai Amomum (Alpinioideae: Zingiberaceae) Using AFLP Markers

Authors

  • Wittaya Kaewsri Department of Horticulture, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
  • Yingyong Paisooksantivatana Department of Horticulture, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
  • Uamporn Veesommai Department of Horticulture, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
  • Wichan Eiadthong Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok 10900, Thailand.
  • Srunya Vajrodaya Department of Botany, Faculty of Science, Kasetsart University, Bangkok 10900, Thailand.

Keywords:

phylogenetic, Amomum, AFLP, Thailand

Abstract

The AFLP technique was used to assess the genetic relationships among 45 zingiberaceous plants including 40 collections of Amomum and 5 outgroup taxa: Alpinia, Etlingera 1, Etlingera 2, Elettaria and Geostachys. Cluster analysis using unweighted pair group method with arithmetic mean (UPGMA), based on AFLP data from 122 polymorphic bands generated with five primer combinations, was performed. The grouping of accessions of most species corresponded with their fruit morphological characteristics and were found to be consistent with previous studies. The species of Thai Amomum were classified into 3 groups based on AFLP markers: A. aculeatum group, A. biflorum group, and A. dealbatum group. The genetic relationships among genus Amomum and other genera in the tribe Alpinioideae are still incompletely understood.

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Published

2007-06-30

How to Cite

Wittaya Kaewsri, Yingyong Paisooksantivatana, Uamporn Veesommai, Wichan Eiadthong, and Srunya Vajrodaya. 2007. “Phylogenetic Analysis of Thai Amomum (Alpinioideae: Zingiberaceae) Using AFLP Markers”. Agriculture and Natural Resources 41 (2). Bangkok, Thailand:213-26. https://li01.tci-thaijo.org/index.php/anres/article/view/244235.

Issue

Vol. 41 No. 2 (2007): April-June

Section

Research Article

License

online 2452-316X print 2468-1458/Copyright © 2022. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/),
production and hosting by Kasetsart University of Research and Development Institute on behalf of Kasetsart University.