Assessment of the applicability of wood anatomy and DNA barcoding to detect the timber adulterations in Sri Lanka.

Scientific Reports
Sachithrani KannangaraSuneth Sooriyapathirana

Abstract

The wood adulteration is a common problem and under-studied aspect in the timber industry of Sri Lanka. Hence we conducted a survey to assess the status of timber adulteration and check the applicability of morphometric parameters and DNA barcoding to detect the adulterated timber sources. We interviewed the stakeholders of the timber industry to collect information regarding timber adulterations. We measured the morphometric parameters; wood density and sizes of the xylem elements of the standard and adulterant species. For DNA barcoding, DNA was extracted from the wood of the selected standard and adulterant species and subjected to PCR using the markers, matK-trnT and atpB-rbcL. The PCR products were subjected to DNA sequencing. According to the survey, 92.5% of patrons, 73.7% of manufacturers and 96.7% of carpenters said timber adulteration is taking place in the country. The respondents said that the standard timber species; Tectona grandis, Artocarpus heterophyllus, and Swietenia macrophylla, profoundly undergo adulteration in Sri Lanka. The morphometric parameters did not discriminate the adulterant species from the standard species. The DNA barcodes matK-trnT and atpB-rbcL provided unique polymorphic DNA sequences with ...Continue Reading

References

May 25, 2002·Proceedings. Biological Sciences·Marie-France DeguillouxRémy J Petit
Oct 26, 2005·Systematic Biology·Paul D N Hebert, T Ryan Gregory
Apr 9, 2013·PloS One·Ingrid ParmentierOlivier J Hardy
Nov 19, 2013·Methods in Molecular Biology·Chiaki MutouRyuji Ishikawa
Mar 24, 2016·Molecular Biology and Evolution·Sudhir KumarKoichiro Tamura

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Citations

Jan 23, 2021·Critical Reviews in Food Science and Nutrition·Nicholas John Sadgrove

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Datasets Mentioned

BETA
MK264363-MK264378

Methods Mentioned

BETA
PCR
electrophoresis

Software Mentioned

SAS
SPSS Statistics
Zen lite
SPSS Predictive Analytics
BLAST
MEGA
CLUSTALW
SPSS

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