Exploratory application of DNA barcode analysis to aged softwood samples: insights into a robust protocol

Abstract Wood identification is an important aspect for understanding the historical and geographical background of ancient wooden materials. One of the major methods for wood identification is the anatomical inspection of its morphological data from a micrograph of the thin section or volumetric X-ray CT data, while another effective method is DNA (deoxyribonucleic acid) barcode analysis. This study aimed to establish a DNA barcode analysis protocol for aged softwoods. For this purpose, we performed a DNA barcode analysis using “authentic” samples deposited in xylarium. Two measures were implemented in this study: (i) polymerase chain reaction (PCR) amplification of a shorter marker region and (ii) physical separation of the rooms for DNA extraction and PCR amplification. Notably, the latter addressed the issue of inconsistent identification results across analyses. However, incorrect identification is sometimes obtained, indicating that further improvements to the protocol are still required. Nonetheless, this study advances the DNA barcode analysis protocol for wood identification by highlighting the need to eliminate external DNA contamination. In summary, our findings clarify the requirements for a reliable wood-identification protocol based on DNA barcodes and lay the foundation for a more robust procedure.

Authors

Institutions

Publication Details

Journal
Journal of Wood Science
Published
2026-09-09
DOI
https://doi.org/10.1186/s10086-026-02304-6
Primary Topic
Wood and Agarwood Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Exploratory application of DNA barcode analysis to aged softwood samples: insights into a robust protocol

Hiroyuki Oshikane, Tomoya Imai, Suyako Mizuno-Tazuru, Naoki Takata
Journal of Wood Science
Wood and Agarwood Research
article

Exploratory application of DNA barcode analysis to aged softwood samples: insights into a robust protocol

Hiroyuki Oshikane, Tomoya Imai, Suyako Mizuno-Tazuru, Naoki Takata
article en

Abstract

Abstract Wood identification is an important aspect for understanding the historical and geographical background of ancient wooden materials. One of the major methods for wood identification is the anatomical inspection of its morphological data from a micrograph of the thin section or volumetric X-ray CT data, while another effective method is DNA (deoxyribonucleic acid) barcode analysis. This study aimed to establish a DNA barcode analysis protocol for aged softwoods. For this purpose, we performed a DNA barcode analysis using “authentic” samples deposited in xylarium. Two measures were implemented in this study: (i) polymerase chain reaction (PCR) amplification of a shorter marker region and (ii) physical separation of the rooms for DNA extraction and PCR amplification. Notably, the latter addressed the issue of inconsistent identification results across analyses. However, incorrect identification is sometimes obtained, indicating that further improvements to the protocol are still required. Nonetheless, this study advances the DNA barcode analysis protocol for wood identification by highlighting the need to eliminate external DNA contamination. In summary, our findings clarify the requirements for a reliable wood-identification protocol based on DNA barcodes and lay the foundation for a more robust procedure.

Journal of Wood Science
Kyoto University (JP), Ikeda Municipal Hospital (JP), Forestry and Forest Products Research Institute (JP), Tokyo University of Agriculture and Technology (JP)
Openalex Percentile: Top 20%
Wood and Agarwood Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploratory application of DNA barcode analysis to aged softwood samples: insights into a robust protocol — Hiroyuki Oshikane, Tomoya Imai, et al. · Journal of Wood Science (2026) | TGRS Research Map | TGRS