Evidence map›Paper›PMID 22562254›Full record

ArticleMolecular genetics and genomics : MGG2012

Whole-genome sequencing of the efficient industrial fuel-ethanol fermentative Saccharomyces cerevisiae strain CAT-1.

Farbod Babrzadeh, Roxana Jalili, Chunlin Wang, Shadi Shokralla, Sarah Pierce, Avi Robinson-Mosher, Pål Nyren, Robert W Shafer, Luiz C Basso, Henrique V de Amorim and 5 more

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Article in Molecular genetics and genomics : MGG, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Comparative functional genomics ofMicrobiology spectrum · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Complete genome sequence and analysis of a Saccharomyces cerevisiae strain used for sugarcane spirit production.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Article
  6. NaturalFrontiers in microbiology · 2021
    Article
  7. Article
  8. Evaluation of the Fermentative Capacity ofIndian journal of microbiology · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Draft Genome Sequence ofGenome announcements · 2017
    Article
  15. Ethanol production in Brazil: a bridge between science and industry.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2016
    Review
  16. Article
  17. Next-generation sequencing analysis of lager brewing yeast strains reveals the evolutionary history of interspecies hybridization.DNA research : an international journal for rapid publication of reports on genes and genomes · 2016
    Article
  18. Article
  19. Article
  20. 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

15 authors.

Farbod BabrzadehStanford Genome Technology Center, Stanford University, Stanford, CA, USA.
Roxana Jalili
Chunlin Wang
Shadi Shokralla
Sarah Pierce
Avi Robinson-Mosher
Pål Nyren
Robert W Shafer
Luiz C Basso
Henrique V de Amorim
Antonio J de Oliveira
Ronald W Davis
Mostafa Ronaghi
Baback Gharizadeh
Boris U Stambuk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Saccharomyces cerevisiae strains widely used for industrial fuel-ethanol production have been developed by selection, but their underlying beneficial genetic polymorphisms remain unknown. Here, we report the draft whole-genome sequence of the S. cerevisiae strain CAT-1, which is a dominant fuel-ethanol fermentative strain from the sugarcane industry in Brazil. Our results indicate that strain CAT-1 is a highly heterozygous diploid yeast strain, and the ~12-Mb genome of CAT-1, when compared with the reference S228c genome, contains ~36,000 homozygous and ~30,000 heterozygous single nucleotide polymorphisms, exhibiting an uneven distribution among chromosomes due to large genomic regions of loss of heterozygosity (LOH). In total, 58 % of the 6,652 predicted protein-coding genes of the CAT-1 genome constitute different alleles when compared with the genes present in the reference S288c genome. The CAT-1 genome contains a reduced number of transposable elements, as well as several gene deletions and duplications, especially at telomeric regions, some correlated with several of the physiological characteristics of this industrial fuel-ethanol strain. Phylogenetic analyses revealed that some genes were likely associated with traits important for bioethanol production. Identifying and characterizing the allelic variations controlling traits relevant to industrial fermentation should provide the basis for a forward genetics approach for developing better fermenting yeast strains.

Indexed as

BiofuelsGenome, FungalBiotechnologyDiploidyEthanolFermentationGene DosagePhylogenyPolymorphism, Single NucleotideSaccharomyces cerevisiaeSequence Analysis, DNASpecies SpecificityBiofuelsEthanol

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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.