Evidence map›Paper›PMID 29150693›Full record

ArticleScientific reports2017

A collection of genetically engineered Populus trees reveals wood biomass traits that predict glucose yield from enzymatic hydrolysis.

Sacha Escamez, Madhavi Latha Gandla, Marta Derba-Maceluch, Sven-Olof Lundqvist, Ewa J Mellerowicz, Leif J Jönsson, Hannele Tuominen

Abstract read
In one paragraph

Article in Scientific reports, 2017. 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

7 authors.

Sacha EscamezDepartment of Plant Physiology, Umeå University, Umeå Plant Science Centre (UPSC), SE-901 87, Umeå, Sweden. sacha.escamez@umu.se.ORCID 0000-0001-7049-6978
Madhavi Latha GandlaDepartment of Chemistry, Umeå University, SE-901 87, Umeå, Sweden.
Marta Derba-MaceluchDepartment of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå Plant Science Centre (UPSC), SE-901 83, Umeå, Sweden.
Sven-Olof LundqvistINNVENTIA AB, RISE Bioeconomy, Drottning Kristinas väg 61 B, SE-114 28, Stockholm, Sweden.
Ewa J MellerowiczDepartment of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå Plant Science Centre (UPSC), SE-901 83, Umeå, Sweden.
Leif J JönssonDepartment of Chemistry, Umeå University, SE-901 87, Umeå, Sweden.
Hannele TuominenDepartment of Plant Physiology, Umeå University, Umeå Plant Science Centre (UPSC), SE-901 87, Umeå, Sweden. hannele.tuominen@umu.se.ORCID 0000-0002-4949-3702

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wood represents a promising source of sugars to produce bio-based renewables, including biofuels. However, breaking down lignocellulose requires costly pretreatments because lignocellulose is recalcitrant to enzymatic saccharification. Increasing saccharification potential would greatly contribute to make wood a competitive alternative to petroleum, but this requires improving wood properties. To identify wood biomass traits associated with saccharification, we analyzed a total of 65 traits related to wood chemistry, anatomy and structure, biomass production and saccharification in 40 genetically engineered Populus tree lines. These lines exhibited broad variation in quantitative traits, allowing for multivariate analyses and mathematical modeling. Modeling revealed that seven wood biomass traits associated in a predictive manner with saccharification of glucose after pretreatment. Four of these seven traits were also negatively associated with biomass production, suggesting a trade-off between saccharification potential and total biomass, which has previously been observed to offset the overall sugar yield from whole trees. We therefore estimated the "total-wood glucose yield" (TWG) from whole trees and found 22 biomass traits predictive of TWG after pretreatment. Both saccharification and TWG were associated with low abundant, often overlooked matrix polysaccharides such as arabinose and rhamnose which possibly represent new markers for improved Populus feedstocks.

Indexed as

BiomassQuantitative Trait, HeritableCarbohydrate MetabolismCellulaseGenetic EngineeringGlucoseHydrolysisModels, BiologicalPlants, Genetically ModifiedPopulusTreesWoodCellulaseGlucose

Identifiers

PMID29150693
PMCPMC5693926

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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.