Evidence map›Paper›PMID 35145855›Full record

ArticleMetabolic engineering communications2022

Thermodynamics contributes to high limonene productivity in cyanobacteria.

Shrameeta Shinde, Sonali Singapuri, Zhenxiong Jiang, Bin Long, Danielle Wilcox, Camille Klatt, J Andrew Jones, Joshua S Yuan, Xin Wang

Open access · goldAbstract read
In one paragraph

Article in Metabolic engineering communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  6. Highlighting the potential ofFrontiers in microbiology · 2023
    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

9 authors at 2 institutions in 1 country.

Shrameeta ShindeDepartment of Microbiology, Miami University, Oxford, OH, 45056, USA.
Sonali SingapuriDepartment of Microbiology, Miami University, Oxford, OH, 45056, USA.
Zhenxiong JiangDepartment of Microbiology, Miami University, Oxford, OH, 45056, USA.
Bin LongSynthetic and Systems Biology Innovation Hub, Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.
Danielle WilcoxDepartment of Microbiology, Miami University, Oxford, OH, 45056, USA.
Camille KlattDepartment of Microbiology, Miami University, Oxford, OH, 45056, USA.
J Andrew JonesDepartment of Chemical, Paper, and Biomedical Engineering, Miami University, Oxford, OH, 45056, USA.
Joshua S YuanSynthetic and Systems Biology Innovation Hub, Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.
Xin WangDepartment of Microbiology, Miami University, Oxford, OH, 45056, USA.
Miami University · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Terpenoids are a large group of secondary metabolites with broad industrial applications. Engineering cyanobacteria is an attractive route for the sustainable production of commodity terpenoids. Currently, a major obstacle lies in the low productivity attained in engineered cyanobacterial strains. Traditional metabolic engineering to improve pathway kinetics has led to limited success in enhancing terpenoid productivity. In this study, we reveal thermodynamics as the main determinant for high limonene productivity in cyanobacteria. Through overexpressing the primary sigma factor, a higher photosynthetic rate was achieved in an engineered strain of S

Indexed as

CyanobacteriaLimoneneSigma factorTerpene biosynthesisThermodynamics

Identifiers

PMID35145855
PMCPMC8801761
OpenAlexW4206999696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.