Evidence map›Paper›PMID 28429154›Full record

ArticleJournal of industrial microbiology & biotechnology2017

Developing elite Neurospora crassa strains for cellulosic ethanol production using fungal breeding.

Joshua C Waters, Andrew Nixon, Morgan Dwyer, Justin C Biffinger, Kwangwon Lee

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Joshua C WatersDepartment of Biology, Rutgers, The State University of New Jersey, Camden, NJ, 08103, USA.
Andrew NixonCenter for Computational and Integrative Biology, Rutgers, The State University of New Jersey, Camden, NJ, 08103, USA.
Morgan DwyerDepartment of Biology, Rutgers, The State University of New Jersey, Camden, NJ, 08103, USA.
Justin C BiffingerChemistry Department, US Naval Research Laboratory, Washington D.C., 20375, USA.
Kwangwon LeeDepartment of Biology, Rutgers, The State University of New Jersey, Camden, NJ, 08103, USA. kwangwon.lee@rutgers.edu.ORCID 0000-0001-8225-4220

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demand for renewable and sustainable energy has generated considerable interest in the conversion of cellulosic biomass into liquid fuels such as ethanol using a filamentous fungus. While attempts have been made to study cellulose metabolism through the use of knock-out mutants, there have been no systematic effort to characterize natural variation for cellulose metabolism in ecotypes adapted to different habitats. Here, we characterized natural variation in saccharification of cellulose and fermentation in 73 ecotypes and 89 laboratory strains of the model fungus Neurospora crassa. We observed significant variation in both traits among natural and laboratory generated populations, with some elite strains performing better than the reference strain. In the F1 population N345, 15% of the population outperformed both parents with the top performing strain having 10% improvement in ethanol production. These results suggest that natural alleles can be exploited through fungal breeding for developing elite industrial strains for bioethanol production.

Indexed as

Industrial MicrobiologyBiomassCelluloseEcotypeEthanolFermentationNeurospora crassaCelluloseEthanolCellulaseCellulosic ethanolFungal breedingNatural variationStrain improvement

Identifiers

PMID28429154
PMCPMC5511601

What OpenQuestion holds

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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.