Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-19T05:50:59.099Z Has data issue: false hasContentIssue false

Applications of AFLP and ISSR techniques in detecting genetic diversity in the soybean brown stem rot pathogen Phialophora gregata

Published online by Cambridge University Press:  23 August 2001

Xiangqi MENG
Affiliation:
Department of Crop Sciences, University of Illinois at Urbana-Champaign, and Illinois Natural History Survey, 607 East Peabody Drive, Champaign, IL 61820, USA. E-mail: [email protected]. Present address: Department of Plant Pathology, University of California, Davis, CA 95616, USA.
Weidong CHEN
Affiliation:
Department of Crop Sciences, University of Illinois at Urbana-Champaign, and Illinois Natural History Survey, 607 East Peabody Drive, Champaign, IL 61820, USA. E-mail: [email protected].
Get access

Abstract

AFLP (amplified fragments length polymorphism) and ISSR (inter simple sequence repeat) analyses were used to detect genetic diversity among 46 Phialophora gregata isolates including 41 from soybean, four from mung bean, and one from adzuki bean. Five AFLP primers amplified 55 fragments, of which 20 bands were polymorphic. Thirteen ISSR primers amplified 66 fragments, of which 45 bands were polymorphic. The ISSR technique detected more polymorphism than the AFLP technique did. A UPGMA (unweighted pair-group arithmetic mean) dendrogram was constructed based on the 121 amplified fragments with AFLP and ISSR primers to depict genetic diversity and relationships among the 46 isolates. Various levels of DNA polymorphism were detected among P. gregata isolates from soybean and mung bean. The estimated average genetic diversity is 0.079 for the population of 45 isolates from soybean and mung bean. The ISSR technique was shown to be more effective and economic than the AFLP technique in detecting genetic variation in P. gregata.

Type
Research Article
Copyright
© The British Mycological Society 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)