Evidence map›Paper›PMID 20139239›Full record

ReviewEukaryotic cell2010

Genetic engineering of algae for enhanced biofuel production.

Randor Radakovits, Robert E Jinkerson, Al Darzins, Matthew C Posewitz

Open access · diamondAbstract readReview
In one paragraph

Review in Eukaryotic cell, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed
35.0field-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

223 citing papers in PubMed, 1,117 citations in OpenAlex.

  1. Review
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  6. Metabolic Engineering of Microalgae for Biofuel Production.Methods in molecular biology (Clifton, N.J.) · 2026
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163 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Randor RadakovitsDepartment of Chemistry and Geochemistry, Colorado School of Mines, Golden, CO 80401, USA.
Robert E Jinkerson
Al Darzins
Matthew C Posewitz
Colorado School of Mines · USNational Renewable Energy Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are currently intensive global research efforts aimed at increasing and modifying the accumulation of lipids, alcohols, hydrocarbons, polysaccharides, and other energy storage compounds in photosynthetic organisms, yeast, and bacteria through genetic engineering. Many improvements have been realized, including increased lipid and carbohydrate production, improved H(2) yields, and the diversion of central metabolic intermediates into fungible biofuels. Photosynthetic microorganisms are attracting considerable interest within these efforts due to their relatively high photosynthetic conversion efficiencies, diverse metabolic capabilities, superior growth rates, and ability to store or secrete energy-rich hydrocarbons. Relative to cyanobacteria, eukaryotic microalgae possess several unique metabolic attributes of relevance to biofuel production, including the accumulation of significant quantities of triacylglycerol; the synthesis of storage starch (amylopectin and amylose), which is similar to that found in higher plants; and the ability to efficiently couple photosynthetic electron transport to H(2) production. Although the application of genetic engineering to improve energy production phenotypes in eukaryotic microalgae is in its infancy, significant advances in the development of genetic manipulation tools have recently been achieved with microalgal model systems and are being used to manipulate central carbon metabolism in these organisms. It is likely that many of these advances can be extended to industrially relevant organisms. This review is focused on potential avenues of genetic engineering that may be undertaken in order to improve microalgae as a biofuel platform for the production of biohydrogen, starch-derived alcohols, diesel fuel surrogates, and/or alkanes.

Indexed as

BiofuelsGenetic EngineeringCarbohydrate MetabolismEukaryotaFatty AcidsGenomeHydrogenLipid MetabolismPhotosynthesisBiofuelsFatty AcidsHydrogen

Identifiers

PMID20139239
PMCPMC2863401
OpenAlexW2122437201

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.