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Development of microsatellites using next-generation sequencing for Acacia crassicarpa


McKinnon, GE and Larcombe, MJ and Griffin, AR and Vaillancourt, RE, Development of microsatellites using next-generation sequencing for Acacia crassicarpa, Journal of Tropical Forest Science, 30, (2) pp. 252-258. ISSN 0128-1283 (2018) [Refereed Article]

Copyright Statement

Copyright 2018 Forest Research Institute Malaysia

DOI: doi:10.26525/jtfs2018.30.2.252258


Acacia crassicarpa is a tropical forestry species that is increasingly being planted in South-East Asia. Using next- generation sequencing, we developed 12 nuclear microsatellite markers for A. crassicarpa and optimised them for assay in three multiplex sets. We tested the 12 loci on 34 A. crassicarpa samples and found that polymorphism ranged from 4 to 8 alleles per locus (average = 5.8). The loci were easy to score in terms of binning and their reproducibility and polymerase chain reaction success rate were high. Given their usability and polymorphism we believe that these 12 loci will be useful for DNA profiling and mating system analysis with direct application in breeding programmes and the conservation of wild populations. Six of the markers also amplified products in related A. mangium and A. auriculiformis, with four being polymorphic in three samples of each species. Therefore, these markers added more broadly to the genomic resources available in Acacia.

Item Details

Item Type:Refereed Article
Keywords:disease resistance, DNA profiling, genetic improvement, simple sequence repeats (SSR), multiplex microsatellites, Acacia silviculture, genetic resources
Research Division:Biological Sciences
Research Group:Genetics
Research Field:Genetics not elsewhere classified
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Hardwood plantations
UTAS Author:McKinnon, GE (Dr Gay McKinnon)
UTAS Author:Larcombe, MJ (Mr Matthew Larcombe)
UTAS Author:Griffin, AR (Professor Rod Griffin)
UTAS Author:Vaillancourt, RE (Professor Rene Vaillancourt)
ID Code:127799
Year Published:2018
Web of Science® Times Cited:2
Deposited By:Plant Science
Deposited On:2018-08-16
Last Modified:2019-03-27

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