Evidence map›Paper›PMID 36083348›Full record

ArticlePlanta2022

Complete chloroplast genomes of two medicinal Swertia species: the comparative evolutionary analysis of Swertia genus in the Gentianaceae family.

Qing Du, Jing Li, Liqiang Wang, Haimei Chen, Mei Jiang, Zhuoer Chen, Chuanbei Jiang, Haidong Gao, Bin Wang, Chang Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Complete chloroplast genomes analysis ofMitochondrial DNA. Part B, Resources · 2025
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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

10 authors at 6 institutions in 1 country.

Qing DuInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 151, Malianwa North Road, Hai Dian District, Beijing, 100193, People's Republic of China. 171765300@qq.com.ORCID http://orcid.org/0000-0002-0732-3377
Jing Li *Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 151, Malianwa North Road, Hai Dian District, Beijing, 100193, People's Republic of China.ORCID https://orcid.org/0000-0003-3090-4062
Liqiang Wang *College of Pharmacy, Heze University, No.2269, University Road, Mudan District, Heze City, Shandong Province, 274015, People's Republic of China.ORCID https://orcid.org/0000-0002-8366-7016
Haimei ChenInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 151, Malianwa North Road, Hai Dian District, Beijing, 100193, People's Republic of China.ORCID https://orcid.org/0000-0001-7100-5915
Mei JiangInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 151, Malianwa North Road, Hai Dian District, Beijing, 100193, People's Republic of China.ORCID https://orcid.org/0000-0002-8266-7233
Zhuoer ChenInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 151, Malianwa North Road, Hai Dian District, Beijing, 100193, People's Republic of China.ORCID https://orcid.org/0000-0001-7782-6992
Chuanbei JiangGenepioneer Biotechnologies Inc, No. 9, Weidi Road, Qixia District, Nanjing City, Jiangsu Province, 210000, People's Republic of China.ORCID https://orcid.org/0000-0003-2607-5011
Haidong GaoGenepioneer Biotechnologies Inc, No. 9, Weidi Road, Qixia District, Nanjing City, Jiangsu Province, 210000, People's Republic of China.ORCID https://orcid.org/0000-0003-2774-5013
Bin WangXiangnan University, No. 889, Chenzhou dadao, Chenzhou City, Hunan Province, 423000, People's Republic of China. beinwang@126.com.ORCID https://orcid.org/0000-0002-9939-7030
Chang LiuInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 151, Malianwa North Road, Hai Dian District, Beijing, 100193, People's Republic of China. cliu6688@implad.ac.cn.ORCID https://orcid.org/0000-0003-3879-7302
Chinese Academy of Medical Sciences & Peking Union Medical College · CNSingleron Biotechnologies (china) · CNChenzhou First People's Hospital · CNHeze University · CNQilu University of Technology · CNQinghai University · CN

Funding

Chinese Academy of Medical Sciences, Innovation Funds for Medical Sciences 2021-I2M-1-022Hunan technological innovation guidance project 2018SK52001National Science Foundation 81872966National Science &Technology Fundamental Resources Investigation Program of China 2018FY100705Qinghai Provincial Key Laboratory of Phytochemistry of Qinghai Tibet Plateau 2020-ZJ-Y20
6 · The paper itself

Abstract

MAIN

conclusionThe complete chloroplast genome of Swertia kouitchensis has been sequenced and assembled, compared with that of S. bimaculata to determine the evolutionary relationships among species of the Swertia in the Gentianaceae family. Swertia kouitchensis and S. bimaculata are from the Gentianaceae family. The complete chloroplast genome of S. kouitchensis was newly assembled, annotated, and analyzed by Illumina Hiseq 2500 platform. The chloroplast genomes of the two species encoded a total of 133, 134 genes, which included 88-89 protein-coding genes, 37 transfer RNA (tRNA) genes, and 8 ribosomal RNA genes. One intron was contained in each of the eight protein-coding genes and eight tRNA-coding genes, whereas two introns were found in two genes (ycf3 and clpP). The most abundant codon of the two species was for isoleucine, and the least abundant codon was for cysteine. The number of microsatellite repeat sequences was twenty-eight and thirty-two identified in the chloroplast genomes of S. kouitchensis and S. bimaculata, respectively. A total of 1127 repeat sequences were identified in all the 23 Swertia chloroplast genomes, and they fell into four categories. Furthermore, five divergence hotspot regions can be applied to discriminate these 23 Swertia species through genomes comparison. One pair of genus-specific DNA barcodes primer has been accurately identified. Therefore, the diverse regions cloned by a specific primer may become an effective and powerful molecular marker for the identification of Swertia genus. Moreover, four genes (ccsA, ndhK, rpoC1, and rps12) were positive selective pressure. The phylogenetic tree showed that the 23 Swertia species were clustered into a large clade including four evident subbranches, whereas the two species of S. kouitchensis and S. bimaculata were separately clustered into the diverse but correlated species group.

Indexed as

Genome, ChloroplastGentianaceaeSwertiaCodonMicrosatellite RepeatsPhylogenyRNA, TransferCodonRNA, TransferCodon usageDNA barcodes primerGene characteristicsHypervariable regionPhylogenetic analysisSelective pressureSSR and repeat analysisSwertia bimaculataSwertia kouitchensis

Identifiers

PMID36083348
OpenAlexW4295088874

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.