DNA profile database of Koompassia malaccensis in Malaysia and its application in forensic investigation

Abstract DNA profiling has been an important tool in human forensic for almost four decades, revolutionising criminal investigations. In recent years, it has also been utilised in timber identification and geographical traceability of stolen logs, with notable increase in forensic DNA analysis relat...

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Main Authors: Chai Ting Lee, Chin Hong Ng, Lee Hong Tnah, Kevin Kit Siong Ng, Bibian Diway, Eyen Khoo, Soon Leong Lee
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-09566-y
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Summary:Abstract DNA profiling has been an important tool in human forensic for almost four decades, revolutionising criminal investigations. In recent years, it has also been utilised in timber identification and geographical traceability of stolen logs, with notable increase in forensic DNA analysis related to forest crimes, driven by the growing concerns over illegal logging and forest conservation. In this study, DNA profile database for a tropical timber species, Koompassia malaccensis was established, with a total of 1465 samples from 56 locations across Malaysia genotyped using nine short tandem repeat (STR) markers. Based on the results of cluster analyses, the STR database was partitioned into WM (West Malaysia), EM (East Malaysia) and PS (Peat Swamp) Database. Thereafter, each regional/ecological database was characterised for forensic parameters and allele frequencies. Due to weak population differentiation, the percentage of individuals correctly assigned to the population of origin was low. However, the assignment tests to the region of origin were highly accurate (mean = 99.6%). The STR database is robust and has been used to assist the enforcement agencies in the investigation of forest crimes involving K. malaccensis. A case study is presented to demonstrate its application for individual identification in forensic context.
ISSN:2045-2322