Evidence map›Paper›PMID 36959947›Full record

ArticleFrontiers in plant science2023

A large-scale forward genetic screen for maize mutants with altered lignocellulosic properties.

Shaogan Wang, Stefan Robertz, Merve Seven, Florian Kraemer, Benjamin M Kuhn, Lifeng Liu, China Lunde, Markus Pauly, Vicente Ramírez

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Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Shaogan WangInstitute for Plant Cell Biology and Biotechnology-Cluster of Excellence on Plant Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Stefan RobertzInstitute for Plant Cell Biology and Biotechnology-Cluster of Excellence on Plant Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Merve SevenInstitute for Plant Cell Biology and Biotechnology-Cluster of Excellence on Plant Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Florian KraemerDepartment of Plant and Microbial Biology, Energy Biosciences Institute, University of California, Berkeley, Berkeley, CA, United States.
Benjamin M KuhnDepartment of Plant and Microbial Biology, Energy Biosciences Institute, University of California, Berkeley, Berkeley, CA, United States.
Lifeng LiuDepartment of Plant and Microbial Biology, Energy Biosciences Institute, University of California, Berkeley, Berkeley, CA, United States.
China LundePlant Gene Expression Center, Agricultural Research Service, U.S. Department of Agriculture, Albany, CA, United States.
Markus PaulyInstitute for Plant Cell Biology and Biotechnology-Cluster of Excellence on Plant Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Vicente RamírezInstitute for Plant Cell Biology and Biotechnology-Cluster of Excellence on Plant Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of efficient pipelines for the bioconversion of grass lignocellulosic feedstocks is challenging due to the limited understanding of the molecular mechanisms controlling the synthesis, deposition, and degradation of the varying polymers unique to grass cell walls. Here, we describe a large-scale forward genetic approach resulting in the identification of a collection of chemically mutagenized maize mutants with diverse alterations in their cell wall attributes such as crystalline cellulose content or hemicellulose composition. Saccharification yield, i.e. the amount of lignocellulosic glucose (Glc) released by means of enzymatic hydrolysis, is increased in two of the mutants and decreased in the remaining six. These mutants, termed

Indexed as

cell walllignocellolusic biomassmaizemutantsaccharification

Identifiers

PMID36959947
PMCPMC10028098

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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.