Evidence map›Paper›PMID 22266652›Full record

ArticleNucleic acids research2012

A computational pipeline to discover highly phylogenetically informative genes in sequenced genomes: application to Saccharomyces cerevisiae natural strains.

Matteo Ramazzotti, Luisa Berná, Irene Stefanini, Duccio Cavalieri

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Genomic signatures of dairy adaptation inProceedings of the National Academy of Sciences of the United States of America · 2026
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  6. Review
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  9. Social wasps are a Saccharomyces mating nest.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  10. Article
  11. Article
  12. Article
  13. Role of social wasps in Saccharomyces cerevisiae ecology and evolution.Proceedings of the National Academy of Sciences of the United States of America · 2012
    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

4 authors.

Matteo RamazzottiDepartment of Preclinical and Clinical Pharmacology, University of Florence, Viale G. Pieraccini 6, 50139 Firenze, Italy.
Luisa Berná
Irene Stefanini
Duccio Cavalieri

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quest for genes representing genetic relationships of strains or individuals within populations and their evolutionary history is acquiring a novel dimension of complexity with the advancement of next-generation sequencing (NGS) technologies. In fact, sequencing an entire genome uncovers genetic variation in coding and non-coding regions and offers the possibility of studying Saccharomyces cerevisiae populations at the strain level. Nevertheless, the disadvantageous cost-benefit ratio (the amount of details disclosed by NGS against the time-expensive and expertise-demanding data assembly process) still precludes the application of these techniques to the routinely assignment of yeast strains, making the selection of the most reliable molecular markers greatly desirable. In this work we propose an original computational approach to discover genes that can be used as a descriptor of the population structure. We found 13 genes whose variability can be used to recapitulate the phylogeny obtained from genome-wide sequences. The same approach that we prove to be successful in yeasts can be generalized to any other population of individuals given the availability of high-quality genomic sequences and of a clear population structure to be targeted.

Indexed as

Genes, FungalPhylogeny5' Untranslated RegionsCluster AnalysisGenetic MarkersGenome, FungalGenomicsINDEL MutationPolymorphism, Single NucleotideSaccharomyces cerevisiaeSequence AlignmentSequence Analysis, DNASoftware5' Untranslated RegionsGenetic Markers

Identifiers

PMID22266652
PMCPMC3351171

What OpenQuestion holds

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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.