Evidence map›Paper›PMID 32017762›Full record

ArticlePloS one2020

Quantitative trait loci (QTL) underlying phenotypic variation in bioethanol-related processes in Neurospora crassa.

Joshua C Waters, Deval Jhaveri, Justin C Biffinger, Kwangwon Lee

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Joshua C WatersDepartment of Biology, Rutgers, The State University of New Jersey-Camden, Camden, NJ, United States of America.
Deval JhaveriCenter for Computational & Integrative Biology, Rutgers, The State University of New Jersey-Camden, Camden, NJ, United States of America.ORCID 0000-0003-1053-8181
Justin C BiffingerChemistry Department, University of Dayton, Dayton, OH, United States of America.ORCID 0000-0002-7330-9186
Kwangwon LeeDepartment of Biology, Rutgers, The State University of New Jersey-Camden, Camden, NJ, United States of America.ORCID 0000-0001-8225-4220
Rutgers, The State University of New Jersey · USUniversity of Dayton · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioethanol production from lignocellulosic biomass has received increasing attention over the past decade. Many attempts have been made to reduce the cost of bioethanol production by combining the separate steps of the process into a single-step process known as consolidated bioprocessing. This requires identification of organisms that can efficiently decompose lignocellulose to simple sugars and ferment the pentose and hexose sugars liberated to ethanol. There have been many attempts in engineering laboratory strains by adding new genes or modifying genes to expand the capacity of an industrial microorganism. There has been less attention in improving bioethanol-related processes utilizing natural variation existing in the natural ecotypes. In this study, we sought to identify genomic loci contributing to variation in saccharification of cellulose and fermentation of glucose in the fermenting cellulolytic fungus Neurospora crassa through quantitative trait loci (QTL) analysis. We identified one major QTL contributing to fermentation of glucose and multiple putative QTL's underlying saccharification. Understanding the natural variation of the major QTL gene would provide new insights in developing industrial microbes for bioethanol production.

Indexed as

Quantitative Trait LociBiological Variation, PopulationEthanolFermentationIndustrial MicrobiologyNeurospora crassaSugarsEthanolSugars

Identifiers

PMID32017762
PMCPMC6999864
OpenAlexW3004992346

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.