Evidence map›Paper›PMID 34225754›Full record

ArticleChinese medicine2021

Plant super-barcode: a case study on genome-based identification for closely related species of Fritillaria.

Lan Wu, Mingli Wu, Ning Cui, Li Xiang, Ying Li, Xiwen Li, Shilin Chen

Open access · goldAbstract read
In one paragraph

Article in Chinese medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.8field-weighted citation impact, top 5% of its field
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

37 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
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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 at 1 institution in 1 country.

Lan Wu *Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Mingli Wu *Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Ning CuiKey Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Li XiangKey Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Ying LiInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100193, China.
Xiwen LiKey Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China. xwli@icmm.ac.cn.
Shilin ChenKey Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China. slchen@icmm.ac.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Fundamental Research Funds for the Central public welfare research institutes ZZ13-YQ-106-C1Key Research Project of China Academy of Chinese Medical Sciences of the 13th Five-Year Plan No.ZZ10-007Major Scientific and Technological Special Project for "Major New Drug Creation" No.2019ZX09731002National key research and development plan No.2017YFB1002303National Natural Science Foundation of China 31900258National Natural Science Foundation of China 81903758
6 · The paper itself

Abstract

backgroundAlthough molecular analysis offers a wide range of options for species identification, a universal methodology for classifying and distinguishing closely related species remains elusive. This study validated the effectiveness of utilizing the entire chloroplast (cp) genome as a super-barcode to help identify and classify closely related species.

methodsWe here compared 26 complete cp genomes of ten Fritillaria species including 18 new sequences sequenced in this study. Each species had repeats and the cp genomes were used as a whole DNA barcode to test whether they can distinguish Fritillaria species.

resultsThe cp genomes of Fritillaria medicinal plants were conserved in genome structure, gene type, and gene content. Comparison analysis of the Fritillaria cp genomes revealed that the intergenic spacer regions were highly divergent compared with other regions. By constructing the phylogenetic tree by the maximum likelihood and maximum parsimony methods, we found that the entire cp genome showed a high discrimination power for Fritillaria species with individuals of each species in a monophyletic clade. These results indicate that cp genome can be used to effectively differentiate medicinal plants from the genus Fritillaria at the species level.

conclusionsThis study implies that cp genome can provide distinguishing differences to help identify closely related Fritillaria species, and has the potential to be served as a universal super-barcode for plant identification.

Indexed as

Chloroplast genomeClosely related speciesFritillariaGenome comparisonSpecies identificationSuper-barcode

Identifiers

PMID34225754
PMCPMC8256587
OpenAlexW3178069545

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