Evidence map›Paper›PMID 34047817›Full record

ReviewApplied microbiology and biotechnology2021

Endophytes: the novel sources for plant terpenoid biosynthesis.

Yachao Chen, Bing Hu, Jianmin Xing, Chun Li

Open access · bronzeAbstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Whole-genome sequencing and characterization ofFrontiers in microbiology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Aroma Difference Analysis of Partridge Tea (Molecules (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Endophyte-inoculated rhizomes ofFrontiers in microbiology · 2023
    Article
  17. Review
  18. 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

4 authors at 3 institutions in 1 country.

Yachao ChenKey Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Ministry of Industry and Information Technology, Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, China.
Bing HuKey Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Ministry of Industry and Information Technology, Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, China. binghu319@bit.edu.cn.
Jianmin XingCAS Key Laboratory of Green Process and Engineering & State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Chun LiKey Lab for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China. lichun@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-4262-6848
Beijing Institute of Technology · CNInstitute of Process Engineering · CNTsinghua University · CN

Funding

National Key Research and Development Program of China 2018YFA0901800National Key Research and Development Program of China 2020YFA0908300Open Funding Project of the State Key Laboratory of Biochemical Engineering 2020KF-05the National Natural Science Foundation of China 21736002
6 · The paper itself

Abstract

Terpenoids are natural compounds predominantly present in plants. They have many pharmaceutical and/or nutritional functions, and have been widely applied in medical, food, and cosmetics industries. Recently, terpenoids have been used in the clinical treatment of COVID-19 due to the good antiviral activities. The increasing demand for terpenoids in international markets poses a serious threat to many plant species. For environmentally sustainable development, microbial cell factories have been utilized as the promising platform to produce terpenoids. Nevertheless, the bioproduction of most terpenoids cannot meet commercial requirements due to the low cost-benefit ratio until now. The biosynthetic potential of endophytes has gained attention in recent decades owing to the continual discovery of endophytes capable of synthesizing plant bioactive compounds. Accordingly, endophytes could be alternative sources of terpenoid-producing strains or terpenoid synthetic genes. In this review, we summarized the research progress describing the main and supporting roles of endophytes in terpenoid biosynthesis and biotransformation, and discussed the current problems and challenges which may prevent the further exploitation. This review will improve our understanding of endophyte resources for terpenoid production in industry in the future. The four main research interests on endophytes for terpenoid production. A: Isolation of terpenoid-producing endophytes; B: The heterologous expression of endophyte-derived terpenoid synthetic genes; C: Endophytes promoting their hosts' terpenoid production. The blue dashed arrows indicate signal transduction; D: Biotransformation of terpenoids by endophytes or their enzymes. Key points• The mechanisms employed by endophytes in terpenoid synthesis in vivo and in vitro.• Endophytes have the commercial potentials in terpenoid bioproduction and biotransformation.• Synthetic biology and multiomics will improve terpenoid bioproduction in engineered cell factories.

Indexed as

COVID-19EndophytesHumansMetabolic EngineeringSARS-CoV-2TerpenesTerpenesBiosynthesisBiotransformationEndophyteMicrobial cell factoryTerpenoid

Identifiers

PMID34047817
PMCPMC8161352
OpenAlexW3165712023

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.