Evidence map›Paper›PMID 33446865›Full record

ArticleScientific reports2021

The specific DNA barcodes based on chloroplast genes for species identification of Orchidaceae plants.

Huili Li, Wenjun Xiao, Tie Tong, Yongliang Li, Meng Zhang, Xiaoxia Lin, Xiaoxiao Zou, Qun Wu, Xinhong Guo

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

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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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Complete Chloroplast Genome of theEcology and evolution · 2026
    Article
  5. Article
  6. Review
  7. Assembly of theGenes · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The complete chloroplast genome ofFrontiers in plant science · 2026
    Article
  13. The Complete Chloroplast Genome ofEcology and evolution · 2025
    Article
  14. UntanglingGenes · 2025
    Article
  15. Article
  16. The Complete Chloroplast Genomes of ThreeCurrent issues in molecular biology · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors.

Huili Li *College of Biology, Hunan University, Changsha, 410082, China.
Wenjun Xiao *College of Biology, Hunan University, Changsha, 410082, China.
Tie TongCollege of Biology, Hunan University, Changsha, 410082, China.
Yongliang LiCollege of Biology, Hunan University, Changsha, 410082, China.
Meng ZhangCollege of Biology, Hunan University, Changsha, 410082, China.
Xiaoxia LinCollege of Biology, Hunan University, Changsha, 410082, China.
Xiaoxiao ZouCollege of Biology, Hunan University, Changsha, 410082, China.
Qun WuCollege of Biology, Hunan University, Changsha, 410082, China.
Xinhong GuoCollege of Biology, Hunan University, Changsha, 410082, China. gxh@hnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA barcoding is currently an effective and widely used tool that enables rapid and accurate identification of plant species. The Orchidaceae is the second largest family of flowering plants, with more than 700 genera and 20,000 species distributed nearly worldwide. The accurate identification of Orchids not only contributes to the safe utilization of these plants, but also it is essential to the protection and utilization of germplasm resources. In this study, the DNA barcoding of 4 chloroplast genes (matK, rbcL, ndhF and ycf1) were used to provide theoretical basis for species identification, germplasm conservation and innovative utilization of orchids. By comparing the nucleotide replacement saturation of the single or combined sequences among the 4 genes, we found that these sequences reached a saturation state and were suitable for phylogenetic relationship analysis. The phylogenetic analyses based on genetic distance indicated that ndhF and ycf1 sequences were competent to identification at genus and species level of orchids in a single gene. In the combined sequences, matK + ycf1 and ndhF + ycf1 were qualified for identification at the genera and species levels, suggesting the potential roles of ndhF, ycf1, matK + ycf1 and ndhF + ycf1 as candidate barcodes for orchids. Based on the SNP sites, candidate genes were used to obtain the specific barcode of orchid plant species and generated the corresponding DNA QR code ID card that could be immediately recognized by electronic devices. This study provides innovative research methods for efficient species identification of orchids. The standardized and accurate barcode information of Orchids is provided for researchers. It lays the foundation for the conservation, evaluation, innovative utilization and protection of Orchidaceae germplasm resources.

Indexed as

DNA Barcoding, TaxonomicEvolution, MolecularGenes, ChloroplastGenetic VariationDNA, ChloroplastOrchidaceaeDNA, Chloroplast

Identifiers

PMID33446865
PMCPMC7809279

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