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Natural variation in non-coding regions underlying phenotypic diversity in budding yeast

Overview of attention for article published in Scientific Reports, January 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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6 tweeters

Citations

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18 Dimensions

Readers on

mendeley
59 Mendeley
Title
Natural variation in non-coding regions underlying phenotypic diversity in budding yeast
Published in
Scientific Reports, January 2016
DOI 10.1038/srep21849
Pubmed ID
Authors

Francisco Salinas, Carl G. de Boer, Valentina Abarca, Verónica García, Mara Cuevas, Sebastian Araos, Luis F. Larrondo, Claudio Martínez, Francisco A. Cubillos, Salinas, Francisco, de Boer, Carl G, Abarca, Valentina, García, Verónica, Cuevas, Mara, Araos, Sebastian, Larrondo, Luis F, Martínez, Claudio, Cubillos, Francisco A

Abstract

Linkage mapping studies in model organisms have typically focused their efforts in polymorphisms within coding regions, ignoring those within regulatory regions that may contribute to gene expression variation. In this context, differences in transcript abundance are frequently proposed as a source of phenotypic diversity between individuals, however, until now, little molecular evidence has been provided. Here, we examined Allele Specific Expression (ASE) in six F1 hybrids from Saccharomyces cerevisiae derived from crosses between representative strains of the four main lineages described in yeast. ASE varied between crosses with levels ranging between 28% and 60%. Part of the variation in expression levels could be explained by differences in transcription factors binding to polymorphic cis-regulations and to differences in trans-activation depending on the allelic form of the TF. Analysis on highly expressed alleles on each background suggested ASN1 as a candidate transcript underlying nitrogen consumption differences between two strains. Further promoter allele swap analysis under fermentation conditions confirmed that coding and non-coding regions explained aspartic and glutamic acid consumption differences, likely due to a polymorphism affecting Uga3 binding. Together, we provide a new catalogue of variants to bridge the gap between genotype and phenotype.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Norway 1 2%
Japan 1 2%
Spain 1 2%
Sweden 1 2%
Austria 1 2%
Unknown 52 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 29%
Researcher 12 20%
Student > Master 9 15%
Professor 5 8%
Student > Postgraduate 4 7%
Other 12 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 54%
Biochemistry, Genetics and Molecular Biology 23 39%
Unspecified 3 5%
Physics and Astronomy 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2018.
All research outputs
#5,938,897
of 11,799,729 outputs
Outputs from Scientific Reports
#19,536
of 52,006 outputs
Outputs of similar age
#103,858
of 292,814 outputs
Outputs of similar age from Scientific Reports
#1,246
of 3,091 outputs
Altmetric has tracked 11,799,729 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 52,006 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 292,814 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 3,091 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.