Evidence map›Paper›PMID 33676543›Full record

ArticleBiotechnology for biofuels2021

Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry.

Anne E Harman-Ware, David Macaya-Sanz, Chanaka Roshan Abeyratne, Crissa Doeppke, Kathleen Haiby, Gerald A Tuskan, Brian Stanton, Stephen P DiFazio, Mark F Davis

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Anne E Harman-Ware *Renewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, CO, 80401, USA. anne.ware@nrel.gov.ORCID http://orcid.org/0000-0002-7927-9424
David Macaya-Sanz *Department of Biology, West Virginia University, Morgantown, WV, 26506, USA.
Chanaka Roshan AbeyratneDepartment of Biology, West Virginia University, Morgantown, WV, 26506, USA.
Crissa DoeppkeRenewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, CO, 80401, USA.
Kathleen HaibyGreenwood Resources, Portland, OR, 97201, USA.
Gerald A TuskanBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.
Brian StantonGreenwood Resources, Portland, OR, 97201, USA.
Stephen P DiFazio *Department of Biology, West Virginia University, Morgantown, WV, 26506, USA.
Mark F Davis *Biosciences Center, National Renewable Energy Laboratory, Golden, CO, 80401, USA.
National Laboratory of the Rockies · USWest Virginia University · USGreenWood Resources (United States) · USOak Ridge National Laboratory · US

Funding

U.S. Department of Transportation Western Sun Grant program (T0013A)
6 · The paper itself

Abstract

backgroundPyrolysis-molecular beam mass spectrometry (py-MBMS) analysis of a pedigree of Populus trichocarpa was performed to study the phenotypic plasticity and heritability of lignin content and lignin monomer composition. Instrumental and microspatial environmental variability were observed in the spectral features and corrected to reveal underlying genetic variance of biomass composition.

resultsLignin-derived ions (including m/z 124, 154, 168, 194, 210 and others) were highly impacted by microspatial environmental variation which demonstrates phenotypic plasticity of lignin composition in Populus trichocarpa biomass. Broad-sense heritability of lignin composition after correcting for microspatial and instrumental variation was determined to be H

conclusionsWe have shown that many biopolymer-derived ions from py-MBMS show substantial phenotypic plasticity in response to microenvironmental variation in plantations. Nevertheless, broad-sense heritability for biomass composition can be quite high after correcting for spatial environmental variation. This work outlines the importance in accounting for instrumental and microspatial environmental variation in biomass composition data for applications in heritability measurements and genomic selection for breeding poplar for renewable fuels and materials.

Indexed as

Biomass compositionHeritabilityPhenotypic plasticityPoplarPyrolysis-molecular beam mass spectrometry

Identifiers

PMID33676543
PMCPMC7937246
OpenAlexW3118390765

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.