ArticlePLoS genetics2010
Bulk segregant analysis by high-throughput sequencing reveals a novel xylose utilization gene from Saccharomyces cerevisiae.
Article in PLoS genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.
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.
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.
Who cites it
105 citing papers in PubMed, 197 citations in OpenAlex.
- Genetic background shapes the transcriptional activity and phenotypic contribution of a horizontally acquired region in yeast.Molecular biology and evolution · 2026Article
- Horizontal gene transfer in Saccharomyces cerevisiae and other Saccharomycotina yeasts: a review.World journal of microbiology & biotechnology · 2026Review
- Biotechnological applications of D-xylose-fermenting autochthonous yeasts in lignocellulosic biorefineries.Biotechnology for biofuels and bioproducts · 2026Review
- Identification of Critical Candidate Genes Controlling Monokaryon Fruiting inJournal of fungi (Basel, Switzerland) · 2025Article
- Optogenetic control of horizontally acquired genes prevent stuck fermentations in yeast.Microbiology spectrum · 2025Article
- Conjunctive BSA-Seq and BSR-Seq to Map the Genes of Yellow Leaf Mutations in Hot Peppers (Genes · 2024Article
- Metabolic engineering of Saccharomyces cerevisiae for second-generation ethanol production from xylo-oligosaccharides and acetate.Scientific reports · 2023Article
- Engineering ofEngineering microbiology · 2023Review
- Exploration into Natural Variation Genes Associated with Determinate and Capitulum-like Inflorescence inInternational journal of molecular sciences · 2023Article
- Codon Optimization Improves the Prediction of Xylose Metabolism from Gene Content in Budding Yeasts.Molecular biology and evolution · 2023Article
- Highly complete long-read genomes reveal pangenomic variation underlying yeast phenotypic diversity.Genome research · 2023Article
- Xylose Metabolization by aIndian journal of microbiology · 2023Article
- Fungal resilience and host-pathogen interactions: Future perspectives and opportunities.Parasite immunology · 2023Review
- Review
- Overdominant and partially dominant mutations drive clonal adaptation in diploid Saccharomyces cerevisiae.Genetics · 2022Article
- Activation of cryptic xylose metabolism by a transcriptional activator Znf1 boosts up xylitol production in the engineered Saccharomyces cerevisiae lacking xylose suppressor BUD21 gene.Microbial cell factories · 2022Article
- Harnessing the potential of bulk segregant analysis sequencing and its related approaches in crop breeding.Frontiers in genetics · 2022Review
- Deletion ofFrontiers in microbiology · 2022Article
- Use of Bulk Segregant Analysis for Determining the Genetic Basis of Azole Resistance in the Opportunistic PathogenFrontiers in cellular and infection microbiology · 2022Article
- Fine-mapping and candidate gene analysis of a major locus controlling leaf thickness in rice (Molecular breeding : new strategies in plant improvement · 2022Article
45 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Fermentation of xylose is a fundamental requirement for the efficient production of ethanol from lignocellulosic biomass sources. Although they aggressively ferment hexoses, it has long been thought that native Saccharomyces cerevisiae strains cannot grow fermentatively or non-fermentatively on xylose. Population surveys have uncovered a few naturally occurring strains that are weakly xylose-positive, and some S. cerevisiae have been genetically engineered to ferment xylose, but no strain, either natural or engineered, has yet been reported to ferment xylose as efficiently as glucose. Here, we used a medium-throughput screen to identify Saccharomyces strains that can increase in optical density when xylose is presented as the sole carbon source. We identified 38 strains that have this xylose utilization phenotype, including strains of S. cerevisiae, other sensu stricto members, and hybrids between them. All the S. cerevisiae xylose-utilizing strains we identified are wine yeasts, and for those that could produce meiotic progeny, the xylose phenotype segregates as a single gene trait. We mapped this gene by Bulk Segregant Analysis (BSA) using tiling microarrays and high-throughput sequencing. The gene is a putative xylitol dehydrogenase, which we name XDH1, and is located in the subtelomeric region of the right end of chromosome XV in a region not present in the S288c reference genome. We further characterized the xylose phenotype by performing gene expression microarrays and by genetically dissecting the endogenous Saccharomyces xylose pathway. We have demonstrated that natural S. cerevisiae yeasts are capable of utilizing xylose as the sole carbon source, characterized the genetic basis for this trait as well as the endogenous xylose utilization pathway, and demonstrated the feasibility of BSA using high-throughput sequencing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.