Evidence map›Paper›PMID 21610729›Full record

ArticleNature communications2011

A bacterial platform for fermentative production of plant alkaloids.

Akira Nakagawa, Hiromichi Minami, Ju-Sung Kim, Takashi Koyanagi, Takane Katayama, Fumihiko Sato, Hidehiko Kumagai

Erratum issuedOpen access · hybridAbstract readEvaluation Study
In one paragraph

Article in Nature communications, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
9.3field-weighted citation impact, top 1% 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

92 citing papers in PubMed, 284 citations in OpenAlex.

  1. Article
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  8. Synthetic biology in plants.Plant biotechnology (Tokyo, Japan) · 2024
    Article
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  14. Concise synthesis of (Chemical science · 2023
    Article
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  16. Review
  17. Article
  18. Article
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32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Akira NakagawaResearch Institute for Bioresources and Biotechnology, Ishikawa Prefectural University, Nonoichi-machi, Ishikawa 921-8836, Japan.
Hiromichi Minami
Ju-Sung Kim
Takashi Koyanagi
Takane Katayama
Fumihiko Sato
Hidehiko Kumagai
Ishikawa Prefectural University · JPJeju National University · KRKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The secondary metabolites of higher plants include diverse chemicals, such as alkaloids, isoprenoids and phenolic compounds (phenylpropanoids and flavonoids). Although these compounds are widely used in human health and nutrition, at present they are mainly obtained by extraction from plants and extraction yields are low because most of these metabolites accumulate at low levels in plant cells. Recent advances in synthetic biology and metabolic engineering have enabled tailored production of plant secondary metabolites in microorganisms, but these methods often require the addition of expensive substrates. Here we develop an Escherichia coli fermentation system that yields plant alkaloids from simple carbon sources, using selected enzymes to construct a tailor-made biosynthetic pathway. In this system, engineered cells cultured in growth medium without additional substrates produce the plant benzylisoquinoline alkaloid, (S)-reticuline (yield, 46.0 mg l(-1) culture medium). The fermentation platform described here offers opportunities for low-cost production of many diverse alkaloids.

Indexed as

FermentationBenzylisoquinolinesBiosynthetic PathwaysBiotechnologyEscherichia coliGenetic EngineeringPlantsBenzylisoquinolines

Identifiers

PMID21610729
PMCPMC3112539
OpenAlexW2069573525

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.