Evidence map›Paper›PMID 28545405›Full record

ArticleBMC genomics2017

Genetic complexity of miscanthus cell wall composition and biomass quality for biofuels.

Tim van der Weijde, Claire L Alvim Kamei, Edouard I Severing, Andres F Torres, Leonardo D Gomez, Oene Dolstra, Chris A Maliepaard, Simon J McQueen-Mason, Richard G F Visser, Luisa M Trindade

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Determinants of Biomass in CFrontiers in plant science · 2022
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

10 authors.

Tim van der WeijdeWageningen UR Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, Netherlands.
Claire L Alvim KameiWageningen UR Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, Netherlands.
Edouard I SeveringWageningen UR Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, Netherlands.
Andres F TorresWageningen UR Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, Netherlands.
Leonardo D GomezCenter for Novel Agricultural Products, University of York, YO10 5 DD, York, UK.
Oene DolstraWageningen UR Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, Netherlands.
Chris A MaliepaardWageningen UR Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, Netherlands.
Simon J McQueen-MasonCenter for Novel Agricultural Products, University of York, YO10 5 DD, York, UK.
Richard G F VisserWageningen UR Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, Netherlands.
Luisa M TrindadeWageningen UR Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, Netherlands. luisa.trindade@wur.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMiscanthus sinensis is a high yielding perennial grass species with great potential as a bioenergy feedstock. One of the challenges that currently impedes commercial cellulosic biofuel production is the technical difficulty to efficiently convert lignocellulosic biomass into biofuel. The development of feedstocks with better biomass quality will improve conversion efficiency and the sustainability of the value-chain. Progress in the genetic improvement of biomass quality may be substantially expedited by the development of genetic markers associated to quality traits, which can be used in a marker-assisted selection program.

resultsTo this end, a mapping population was developed by crossing two parents of contrasting cell wall composition. The performance of 182 F1 offspring individuals along with the parents was evaluated in a field trial with a randomized block design with three replicates. Plants were phenotyped for cell wall composition and conversion efficiency characters in the second and third growth season after establishment. A new SNP-based genetic map for M. sinensis was built using a genotyping-by-sequencing (GBS) approach, which resulted in 464 short-sequence uniparental markers that formed 16 linkage groups in the male map and 17 linkage groups in the female map. A total of 86 QTLs for a variety of biomass quality characteristics were identified, 20 of which were detected in both growth seasons. Twenty QTLs were directly associated to different conversion efficiency characters. Marker sequences were aligned to the sorghum reference genome to facilitate cross-species comparisons. Analyses revealed that for some traits previously identified QTLs in sorghum occurred in homologous regions on the same chromosome.

conclusionIn this work we report for the first time the genetic mapping of cell wall composition and bioconversion traits in the bioenergy crop miscanthus. These results are a first step towards the development of marker-assisted selection programs in miscanthus to improve biomass quality and facilitate its use as feedstock for biofuel production.

Indexed as

BiofuelsBiomassCell WallDrug CombinationsGenetic LinkageGenetic VariationGenotypeLigninPoaceaePyrantelQuantitative Trait LociSpecies SpecificitySyntenyBiofuelsDrug CombinationsLigninlignocellulosePyrantelquantrelBiofuelBiomass qualityCell wall compositionConversion efficiencyGenetic mapMiscanthusQuantitative trait loci (QTL)Saccharification efficiencyYield

Identifiers

PMID28545405
PMCPMC5445440

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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.