Evidence map›Paper›PMID 34727964›Full record

ArticleBiotechnology for biofuels2021

Massive QTL analysis identifies pleiotropic genetic determinants for stress resistance, aroma formation, and ethanol, glycerol and isobutanol production in Saccharomyces cerevisiae.

Ping-Wei Ho, Supinya Piampongsant, Brigida Gallone, Andrea Del Cortona, Pieter-Jan Peeters, Frank Reijbroek, Jules Verbaet, Beatriz Herrera, Jeroen Cortebeeck, Robbe Nolmans and 4 more

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

14 authors at 2 institutions in 2 countries.

Ping-Wei HoVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Supinya PiampongsantVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Brigida GalloneVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Andrea Del CortonaVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Pieter-Jan PeetersVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Frank ReijbroekVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Jules VerbaetVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Beatriz HerreraVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Jeroen CortebeeckVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Robbe NolmansVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Veerle SaelsVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Jan SteenselsVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Daniel F JaroszDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Kevin J VerstrepenVIB-KU Leuven Center for Microbiology, Leuven, Belgium. kevin.verstrepen@kuleuven.be.ORCID http://orcid.org/0000-0002-3077-6219
VIB-KU Leuven Center for Microbiology · BEStanford University · US

Funding

European Research Council 959109European Research Council CoG682009fonds wetenschappelijk onderzoek 12W3918N
6 · The paper itself

Abstract

backgroundThe brewer's yeast Saccharomyces cerevisiae is exploited in several industrial processes, ranging from food and beverage fermentation to the production of biofuels, pharmaceuticals and complex chemicals. The large genetic and phenotypic diversity within this species offers a formidable natural resource to obtain superior strains, hybrids, and variants. However, most industrially relevant traits in S. cerevisiae strains are controlled by multiple genetic loci. Over the past years, several studies have identified some of these QTLs. However, because these studies only focus on a limited set of traits and often use different techniques and starting strains, a global view of industrially relevant QTLs is still missing.

resultsHere, we combined the power of 1125 fully sequenced inbred segregants with high-throughput phenotyping methods to identify as many as 678 QTLs across 18 different traits relevant to industrial fermentation processes, including production of ethanol, glycerol, isobutanol, acetic acid, sulfur dioxide, flavor-active esters, as well as resistance to ethanol, acetic acid, sulfite and high osmolarity. We identified and confirmed several variants that are associated with multiple different traits, indicating that many QTLs are pleiotropic. Moreover, we show that both rare and common variants, as well as variants located in coding and non-coding regions all contribute to the phenotypic variation.

conclusionsOur findings represent an important step in our understanding of the genetic underpinnings of industrially relevant yeast traits and open new routes to study complex genetics and genetic interactions as well as to engineer novel, superior industrial yeasts. Moreover, the major role of rare variants suggests that there is a plethora of different combinations of mutations that can be explored in genome editing.

Identifiers

PMID34727964
PMCPMC8564995
OpenAlexW3210092154

What OpenQuestion holds

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LicenceCC BY
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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.