Evidence map›Paper›PMID 42534578›Full record

ArticleFrontiers in plant science2026

A universal DNA-barcode approach to aid species identification in the family Cyperaceae.

Prabin Bhandari, Chao Xu, Bang-Ze Li, Fu-Xing Li, Pedro Jiménez-Mejías, Shu-Ren Zhang, Shi-Liang Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Prabin BhandariState Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Chao XuState Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Bang-Ze LiState Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Fu-Xing LiHenan University of Science and Technology, Luoyang, China.
Pedro Jiménez-MejíasPablo de Olavide University, Sevilla, Spain.
Shu-Ren ZhangState Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Shi-Liang ZhouState Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyperaceae, one of the ten largest plant families with a cosmopolitan distribution, presents significant taxonomic challenges due to its highly reduced and complex floral structures. These complexities make species identification through conventional morphology-based methods difficult. To address these limitations, DNA barcoding was employed for accurate species identification. This study evaluates the universality of DNA barcodes across the entire Cyperaceae family using a total of 6739 sequences. The performance of four DNA barcoding regions ITS,

Indexed as

ITSmatKrbclrps16sedgessystematicstaxonomy

Identifiers

PMID42534578
PMCPMC13421178

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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.