Evidence map›Paper›PMID 29449882›Full record

ArticleBiotechnology for biofuels2018

Mathematical models of lignin biosynthesis.

Mojdeh Faraji, Luis L Fonseca, Luis Escamilla-Treviño, Jaime Barros-Rios, Nancy Engle, Zamin K Yang, Timothy J Tschaplinski, Richard A Dixon, Eberhard O Voit

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 62 citations in OpenAlex.

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  16. Review
  17. A dynamic model of lignin biosynthesis inBiotechnology for biofuels · 2018
    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.

Mojdeh Faraji1The Wallace H. Coulter, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 313, Ferst Drive, Atlanta, GA 30332 USA.
Luis L Fonseca1The Wallace H. Coulter, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 313, Ferst Drive, Atlanta, GA 30332 USA.
Luis Escamilla-Treviño2BioEnergy Sciences Center (BESC), Oak Ridge National Lab, Oak Ridge, TN USA.
Jaime Barros-Rios2BioEnergy Sciences Center (BESC), Oak Ridge National Lab, Oak Ridge, TN USA.
Nancy Engle2BioEnergy Sciences Center (BESC), Oak Ridge National Lab, Oak Ridge, TN USA.
Zamin K Yang2BioEnergy Sciences Center (BESC), Oak Ridge National Lab, Oak Ridge, TN USA.
Timothy J Tschaplinski2BioEnergy Sciences Center (BESC), Oak Ridge National Lab, Oak Ridge, TN USA.
Richard A Dixon2BioEnergy Sciences Center (BESC), Oak Ridge National Lab, Oak Ridge, TN USA.
Eberhard O Voit1The Wallace H. Coulter, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 313, Ferst Drive, Atlanta, GA 30332 USA.
Oak Ridge National Laboratory · USThe Wallace H. Coulter Department of Biomedical Engineering · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLignin is a natural polymer that is interwoven with cellulose and hemicellulose within plant cell walls. Due to this molecular arrangement, lignin is a major contributor to the recalcitrance of plant materials with respect to the extraction of sugars and their fermentation into ethanol, butanol, and other potential bioenergy crops. The lignin biosynthetic pathway is similar, but not identical in different plant species. It is in each case comprised of a moderate number of enzymatic steps, but its responses to manipulations, such as gene knock-downs, are complicated by the fact that several of the key enzymes are involved in several reaction steps. This feature poses a challenge to bioenergy production, as it renders it difficult to select the most promising combinations of genetic manipulations for the optimization of lignin composition and amount.

resultsHere, we present several computational models than can aid in the analysis of data characterizing lignin biosynthesis. While minimizing technical details, we focus on the questions of what types of data are particularly useful for modeling and what genuine benefits the biofuel researcher may gain from the resulting models. We demonstrate our analysis with mathematical models for black cottonwood (

conclusionsDespite commonality in pathway structure, different plant species show different regulatory features and distinct spatial and topological characteristics. The putative lignin biosynthes pathway is not able to explain the plant specific laboratory data, and the necessity of plant specific modeling should be heeded.

Indexed as

Brachypodium distachyonMedicago truncatulaPanicum virgatumPathway analysisPopulus trichocarpaRecalcitrance

Identifiers

PMID29449882
PMCPMC5806469
OpenAlexW2794946075

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.