ArticleBMC research notes2020
DNA barcode trnH-psbA is a promising candidate for efficient identification of forage legumes and grasses.
Article in BMC research notes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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.
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Who cites it
21 citing papers in PubMed.
- Advancing plant DNA barcoding: integrating chloroplast genome sequencing, cryptic diversity discovery and machine learning.Molecular biology reports · 2026Review
- High-Resolution Chloroplast SNV Profiling of 409 Grapevine (International journal of molecular sciences · 2026Article
- Genetic Diversity Unveiled: Cost-Effective Methods for Grassland Species.Molecular ecology resources · 2026Article
- Limited resolution of DNA barcodes and environmental influence on phytochemical diversity in Berberis integerrima (Berberidaceae).Scientific reports · 2026Article
- Article
- Plastomic insights into the genetic variation and phylogenetic relationships of Macadamia.Scientific reports · 2025Article
- Conservation of Verbascum sinaiticum Benth using innovative tissue culture technique and DNA barcoding.Scientific reports · 2025Article
- Article
- Comparative and phylogenetic analysis of Potentilla and Dasiphora (Rosaceae) based on plastid genome.BMC plant biology · 2025Article
- Is There a Key Primer for Amplification of Core Land Plant DNA Barcode Regions (Ecology and evolution · 2025Article
- Article
- Article
- Sugar feeding by invasive mosquito species on ornamental and wild plants.Scientific reports · 2023Article
- Comparing DNA isolation methods for forest trees: quality, plastic footprint, and time-efficiency.Plant methods · 2023Article
- Comparison of plastid genomes and ITS of two sister species in Gentiana and a discussion on potential threats for the endangered species from hybridization.BMC plant biology · 2023Article
- A multispecies amplicon sequencing approach for genetic diversity assessments in grassland plant species.Molecular ecology resources · 2022Article
- Genetic diversity among local mango (Mangifera indica L.) germplasm using morphological, biochemical and chloroplast DNA barcodes analyses.Molecular biology reports · 2022Article
- A Review on Application of DNA Barcoding Technology for Rapid Molecular Diagnostics of Adulterants in Herbal Medicine.Drug safety · 2022Review
- Screening of universal DNA barcodes for identifying grass species of Gramineae.Frontiers in plant science · 2022Article
- Life barcoded by DNA barcodes.Conservation genetics resources · 2022Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
objectiveGrasslands are widespread ecosystems that fulfil many functions. Plant species richness (PSR) is known to have beneficial effects on such functions and monitoring PSR is crucial for tracking the effects of land use and agricultural management on these ecosystems. Unfortunately, traditional morphology-based methods are labor-intensive and cannot be adapted for high-throughput assessments. DNA barcoding could aid increasing the throughput of PSR assessments in grasslands. In this proof-of-concept work, we aimed at determining which of three plant DNA barcodes (rbcLa, matK and trnH-psbA) best discriminates 16 key grass and legume species common in temperate sub-alpine grasslands.
resultsBarcode trnH-psbA had a 100% correct assignment rate (CAR) in the five analyzed legumes, followed by rbcLa (93.3%) and matK (55.6%). Barcode trnH-psbA had a 100% CAR in the grasses Cynosurus cristatus, Dactylis glomerata and Trisetum flavescens. However, the closely related Festuca, Lolium and Poa species were not always correctly identified, which led to an overall CAR in grasses of 66.7%, 50.0% and 46.4% for trnH-psbA, matK and rbcLa, respectively. Barcode trnH-psbA is thus the most promising candidate for PSR assessments in permanent grasslands and could greatly support plant biodiversity monitoring on a larger scale.
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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.