Evidence map›Paper›PMID 34940687›Full record

ArticleMarine drugs2021

Metabolomics Tools Assisting Classic Screening Methods in Discovering New Antibiotics from Mangrove Actinomycetia in Leizhou Peninsula.

Qin-Pei Lu, Yong-Mei Huang, Shao-Wei Liu, Gang Wu, Qin Yang, Li-Fang Liu, Hai-Tao Zhang, Yi Qi, Ting Wang, Zhong-Ke Jiang and 5 more

Abstract read
In one paragraph

Article in Marine drugs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Modern Trends in Natural Antibiotic Discovery.Life (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Article
  9. Review
  10. 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

15 authors.

Qin-Pei LuDepartment of Microbial Chemistry, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Yong-Mei HuangThe Key Lab of Zhanjiang for R&D Marine Microbial Resources in the Beibu Gulf Rim, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang 524023, China.
Shao-Wei LiuDepartment of Microbial Chemistry, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.ORCID 0000-0002-4614-4857
Gang WuDepartment of Microbial Chemistry, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Qin YangDepartment of Microbial Chemistry, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Li-Fang LiuDepartment of Microbial Chemistry, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Hai-Tao ZhangThe Key Lab of Zhanjiang for R&D Marine Microbial Resources in the Beibu Gulf Rim, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang 524023, China.
Yi QiThe Key Lab of Zhanjiang for R&D Marine Microbial Resources in the Beibu Gulf Rim, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang 524023, China.
Ting WangDepartment of Microbial Chemistry, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Zhong-Ke JiangDepartment of Microbial Chemistry, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Jun-Jie LiThe Key Lab of Zhanjiang for R&D Marine Microbial Resources in the Beibu Gulf Rim, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang 524023, China.ORCID 0000-0003-1135-9089
Hao CaiDepartment of Oncology, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Xiu-Jun LiuDepartment of Oncology, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
Hui LuoThe Key Lab of Zhanjiang for R&D Marine Microbial Resources in the Beibu Gulf Rim, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang 524023, China.
Cheng-Hang SunDepartment of Microbial Chemistry, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.ORCID 0000-0001-6813-8274

Funding

he Public Service Platform of South China Sea for R&D Marine Biomedicine Resources 2017C8APUMC Doctoral Innovation Fund Project 2018-1007-16Sino-Hungarian Bilateral S&T Cooperation Projects from 2019 to 2020 Chinese Project: 8-11; Hungarian project: 2018-2.1.14-TÉT-CN-2018-00021the CAMS innovation Fund for Medical Sciences CAMS 2017-I2M-1-012the CAMS innovation Fund for Medical Sciences CAMS 2017-I2M-B&R-08the Guangdong University Youth Innovation Talent Project 2020KQNCX023the National Natural Science Foundation of China 81803411the National Natural Science Foundation of China 82011530051the Science and Technology Program of Guangdong Province 2019B090905011the Scientific Research Fund of Guangdong Medical University GDMUM202002
6 · The paper itself

Abstract

Mangrove actinomycetia are considered one of the promising sources for discovering novel biologically active compounds. Traditional bioactivity- and/or taxonomy-based methods are inefficient and usually result in the re-discovery of known metabolites. Thus, improving selection efficiency among strain candidates is of interest especially in the early stage of the antibiotic discovery program. In this study, an integrated strategy of combining phylogenetic data and bioactivity tests with a metabolomics-based dereplication approach was applied to fast track the selection process. A total of 521 actinomycetial strains affiliated to 40 genera in 23 families were isolated from 13 different mangrove soil samples by the culture-dependent method. A total of 179 strains affiliated to 40 different genera with a unique colony morphology were selected to evaluate antibacterial activity against 12 indicator bacteria. Of the 179 tested isolates, 47 showed activities against at least one of the tested pathogens. Analysis of 23 out of 47 active isolates using UPLC-HRMS-PCA revealed six outliers. Further analysis using the OPLS-DA model identified five compounds from two outliers contributing to the bioactivity against drug-sensitive

Indexed as

WetlandsActinobacteriaAnimalsAnti-Bacterial AgentsAquatic OrganismsChinaDrug Evaluation, PreclinicalMetabolomicsMicrobial Sensitivity TestsAnti-Bacterial Agentsactinomycetiaantimicrobial activitydereplicationdiversityLeizhou Peninsulamangrove soilmetabolomics toolssecondary metabolitestrioxacarcins

Identifiers

PMID34940687
PMCPMC8707991

What OpenQuestion holds

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Registered trials

None linked

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.