Evidence map›Paper›PMID 29907312›Full record

ReviewPlant science : an international journal of experimental plant biology2018

Towards a sustainable bio-based economy: Redirecting primary metabolism to new products with plant synthetic biology.

Patrick M Shih

Abstract readReview
In one paragraph

Review in Plant science : an international journal of experimental plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

1 author.

Patrick M ShihJoint BioEnergy Institute, 5885 Hollis St, Emeryville, CA, 94608, United States; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, One Cyclotron Rd, Berkeley, CA, 94720, United States; Department of Chemical Engineering, Stanford University, Stanford, CA, 94305, United States. Electronic address: pmshih@lbl.gov.

Funding

Developing plant synthetic biology platforms to elucidate the role of natural productsK99AT009573 · NCCIH · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SHIH, PATRICK · 2017 to 2017
$90k
NCCIH NIH HHS K99 AT009573
6 · The paper itself

Abstract

Humans have domesticated many plant species as indispensable sources of food, materials, and medicines. The dawning era of synthetic biology represents a means to further refine, redesign, and engineer crops to meet various societal and industrial needs. Current and future endeavors will utilize plants as the foundation of a bio-based economy through the photosynthetic production of carbohydrate feedstocks for the microbial fermentation of biofuels and bioproducts, with the end goal of decreasing our dependence on petrochemicals. As our technological capabilities improve, metabolic engineering efforts may expand the utility of plants beyond sugar feedstocks through the direct production of target compounds, including pharmaceuticals, renewable fuels, and commodity chemicals. However, relatively little work has been done to fully realize the potential in redirecting central carbon metabolism in plants for the engineering of novel bioproducts. Although our ability to rationally engineer and manipulate plant metabolism is in its infancy, I highlight some of the opportunities and challenges in applying synthetic biology towards engineering plant primary metabolism.

Indexed as

BiofuelsMetabolic EngineeringSynthetic BiologyBiological ProductsCrops, AgriculturalPlantsBiofuelsBiological ProductsBio-based economyCentral carbon metabolismMetabolic engineeringPlant metabolismSynthetic biology

Identifiers

PMID29907312
PMCPMC6005202

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.