Evidence map›Paper›PMID 28096391›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Network-based integration of systems genetics data reveals pathways associated with lignocellulosic biomass accumulation and processing.

Eshchar Mizrachi, Lieven Verbeke, Nanette Christie, Ana C Fierro, Shawn D Mansfield, Mark F Davis, Erica Gjersing, Gerald A Tuskan, Marc Van Montagu, Yves Van de Peer and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  11. Review
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  13. The Road to Resistance in Forest Trees.Frontiers in plant science · 2019
    Review
  14. Review
  15. Finding New Cell Wall Regulatory Genes inFrontiers in plant science · 2019
    Article
  16. Article
  17. Article
  18. Article
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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

12 authors.

Eshchar MizrachiDepartment of Genetics, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria 0028, South Africa; mamon@psb.ugent.be eshchar.mizrachi@fabi.up.ac.za kathleen.marchal@intec.ugent.be zander.myburg@fabi.up.ac.za.
Lieven VerbekeDepartment of Information Technology, Ghent University, iMinds, 9052 Gent, Belgium.ORCID 0000-0003-1909-8119
Nanette ChristieDepartment of Genetics, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria 0028, South Africa.
Ana C FierroDepartment of Information Technology, Ghent University, iMinds, 9052 Gent, Belgium.
Shawn D MansfieldDepartment of Wood Science, University of British Columbia, Vancouver, BC, Canada V6T 1Z4.
Mark F DavisBiosciences Center, National Renewable Energy Laboratory, Golden, CO 80401.
Erica GjersingBiosciences Center, National Renewable Energy Laboratory, Golden, CO 80401.
Gerald A TuskanBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831.
Marc Van MontaguDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium; mamon@psb.ugent.be eshchar.mizrachi@fabi.up.ac.za kathleen.marchal@intec.ugent.be zander.myburg@fabi.up.ac.za.
Yves Van de PeerGenomics Research Institute, University of Pretoria, Pretoria 0028, South Africa.
Kathleen MarchalDepartment of Genetics, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria 0028, South Africa; mamon@psb.ugent.be eshchar.mizrachi@fabi.up.ac.za kathleen.marchal@intec.ugent.be zander.myburg@fabi.up.ac.za.
Alexander A MyburgDepartment of Genetics, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria 0028, South Africa; mamon@psb.ugent.be eshchar.mizrachi@fabi.up.ac.za kathleen.marchal@intec.ugent.be zander.myburg@fabi.up.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a consequence of their remarkable adaptability, fast growth, and superior wood properties, eucalypt tree plantations have emerged as key renewable feedstocks (over 20 million ha globally) for the production of pulp, paper, bioenergy, and other lignocellulosic products. However, most biomass properties such as growth, wood density, and wood chemistry are complex traits that are hard to improve in long-lived perennials. Systems genetics, a process of harnessing multiple levels of component trait information (e.g., transcript, protein, and metabolite variation) in populations that vary in complex traits, has proven effective for dissecting the genetics and biology of such traits. We have applied a network-based data integration (NBDI) method for a systems-level analysis of genes, processes and pathways underlying biomass and bioenergy-related traits using a segregating Eucalyptus hybrid population. We show that the integrative approach can link biologically meaningful sets of genes to complex traits and at the same time reveal the molecular basis of trait variation. Gene sets identified for related woody biomass traits were found to share regulatory loci, cluster in network neighborhoods, and exhibit enrichment for molecular functions such as xylan metabolism and cell wall development. These findings offer a framework for identifying the molecular underpinnings of complex biomass and bioprocessing-related traits. A more thorough understanding of the molecular basis of plant biomass traits should provide additional opportunities for the establishment of a sustainable bio-based economy.

Indexed as

BiomassGene Regulatory NetworksGenes, PlantModels, GeneticCarbonCell WallChromosome MappingCrosses, GeneticEucalyptusGene Expression Regulation, PlantHybridization, GeneticLigninMetabolic Networks and PathwaysPlant ProteinsQuantitative Trait LociWoodCarbonLigninlignocellulosePlant Proteinsbioenergycell walllignocellulosic biomassnetwork-based data integrationsystems genetics

Identifiers

PMID28096391
PMCPMC5293113

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.