Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Quantitative trait analysis of yeast biodiversity yields novel gene tools for metabolic engineering.

Metabolic engineering - 1 May 2013

Hubmann Georg, Foulquié-Moreno Maria R, Nevoigt Elke, Duitama Jorge, Meurens Nicolas, Pais Thiago M, Mathé Lotte, Saerens Sofie, Nguyen Huyen Thi Thanh, Swinnen Steve, Verstrepen Kevin J, Concilio Luigi, de Troostembergh Jean-Claude, Thevelein Johan M

Abstract excerpt

Engineering of metabolic pathways by genetic modification has been restricted largely to enzyme-encoding structural genes. The product yield of such pathways is a quantitative genetic trait. Out of 52 Saccharomyces cerevisiae strains phenotyped in small-scale fermentations, we identified strain CBS6412 as having unusually low glycerol production and higher ethanol yield as compared to an industrial reference...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biodiversity
Share to Chromosome Mapping

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Ethanol

Share to Glycerol

Share to Metabolic Engineering

Share to Quantitative Trait Loci

Share to Saccharomyces cerevisiae

Share to Saccharomyces cerevisiae Proteins

Source

Identifiers

PMID: 23518242
DOI: 10.1016/j.ymben.2013.02.006

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Quantitative trait analysis of yeast biodiversity yields novel gene tools for metabolic engineering.PMID 23518242Read ↗

Comparative polygenic analysis of maximal ethanol accumulation capacity and tolerance to high ethanol levels of cell proliferation in yeast.Semantic proximity Read ↗

Whole genome sequencing of Saccharomyces cerevisiae: from genotype to phenotype for improved metabolic engineering applications.Semantic proximity Read ↗

High-throughput approaches to functional characterization of genetic variation in yeast.Semantic proximity Read ↗

Identification of novel causative genes determining the complex trait of high ethanol tolerance in yeast using pooled-segregant whole-genome sequence analysis.Semantic proximity Read ↗

Exploiting budding yeast natural variation for industrial processes.Semantic proximity Read ↗

Global analysis of the yeast knock-out phenomeSemantic proximity Read ↗

An evaluation of high-throughput approaches to QTL mapping in Saccharomyces cerevisiae.Semantic proximity Read ↗

Integrative phenomics reveals insight into the structure of phenotypic diversity in budding yeast.Semantic proximity Read ↗

Identification of Nitrogen Consumption Genetic Variants in Yeast Through QTL Mapping and Bulk Segregant RNA-Seq Analyses.Semantic proximity Read ↗

Quantitative Trait Loci (QTL)-Guided Metabolic Engineering of a Complex Trait.Semantic proximity Read ↗

The genotype-phenotype map of yeast complex traits: basic parameters and the role of natural selection.Semantic proximity Read ↗

Highly complete long-read genomes reveal pangenomic variation underlying yeast phenotypic diversity.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.