ArticlePlanta2017
DNA barcoding of vouchered xylarium wood specimens of nine endangered Dalbergia species.
Article in Planta, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Traditional System Versus DNA Barcoding in Identification of Bamboo Species: A Systematic Review.Molecular biotechnology · 2021Pooled it
- Harnessing Genomic Information for Identifying the Geographic Origin of Five North American Tree Species in Trade.Evolutionary applications · 2026Article
- DNA barcoding and phylogenetic insights into the selected endemic flora of the Western Himalayas.Scientific reports · 2026Article
- DNA Barcoding Provides Taxonomic Clues for Identifying Five EndangeredPlants (Basel, Switzerland) · 2025Article
- Opening the black box: explainable deep-learning classification of wood microscopic image of endangered tree species.Plant methods · 2024Article
- The DNA barcode identification of Dalbergia odorifera T. Chen and Dalbergia tonkinensis Prain.BMC plant biology · 2023Article
- A DNA barcode reference library for CITES listed MalagasyEcology and evolution · 2023Article
- Comparison of DNA extraction methods on CITES-listed timber species and application in species authentication of commercial products using DNA barcoding.Scientific reports · 2023Article
- Screening of potential chemical marker with interspecific differences inFrontiers in plant science · 2023Article
- Rapid Identification for the Pterocarpus Bracelet by Three-Step Infrared Spectrum Method.Molecules (Basel, Switzerland) · 2022Article
- Toehold switch based biosensors for sensing the highly trafficked rosewoodSynthetic and systems biotechnology · 2022Article
- Comparative Analysis of Chloroplast Genomes ofPlants (Basel, Switzerland) · 2022Article
- rbcL, a potential candidate DNA barcode loci for aconites: conservation of himalayan aconites.Molecular biology reports · 2021Article
- DNA barcodes for the identification of Stephania (Menispermaceae) species.Molecular biology reports · 2020Article
- A computer-aided method for identifying the presence of softwood growth ring boundaries.PloS one · 2020Article
- Changes in Non-Structural Carbohydrates, Wood Properties and Essential Oil During Chemically-Induced Heartwood Formation inFrontiers in plant science · 2020Article
- Characterization of the complete chloroplast genome sequence of Dalbergia species and its phylogenetic implications.Scientific reports · 2019Article
- Article
- The newly developed single nucleotide polymorphism (SNP) markers for a potentially medicinal plant, Crepidiastrum denticulatum (Asteraceae), inferred from complete chloroplast genome data.Molecular biology reports · 2019Article
- Machine learning approaches outperform distance- and tree-based methods for DNA barcoding of Pterocarpus wood.Planta · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MAIN
conclusionITS2+ trnH - psbA was the best combination of DNA barcode to resolve the Dalbergia wood species studied. We demonstrate the feasibility of building a DNA barcode reference database using xylarium wood specimens. The increase in illegal logging and timber trade of CITES-listed tropical species necessitates the development of unambiguous identification methods at the species level. For these methods to be fully functional and deployable for law enforcement, they must work using wood or wood products. DNA barcoding of wood has been promoted as a promising tool for species identification; however, the main barrier to extensive application of DNA barcoding to wood is the lack of a comprehensive and reliable DNA reference library of barcodes from wood. In this study, xylarium wood specimens of nine Dalbergia species were selected from the Wood Collection of the Chinese Academy of Forestry and DNA was then extracted from them for further PCR amplification of eight potential DNA barcode sequences (ITS2, matK, trnL, trnH-psbA, trnV-trnM1, trnV-trnM2, trnC-petN, and trnS-trnG). The barcodes were tested singly and in combination for species-level discrimination ability by tree-based [neighbor-joining (NJ)] and distance-based (TaxonDNA) methods. We found that the discrimination ability of DNA barcodes in combination was higher than any single DNA marker among the Dalbergia species studied, with the best two-marker combination of ITS2+trnH-psbA analyzed with NJ trees performing the best (100% accuracy). These barcodes are relatively short regions (<350 bp) and amplification reactions were performed with high success (≥90%) using wood as the source material, a necessary factor to apply DNA barcoding to timber trade. The present results demonstrate the feasibility of using vouchered xylarium specimens to build DNA barcoding reference databases.
Indexed as
Identifiers
28825134What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.