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Domestication and Divergence of Saccharomyces cerevisiae Beer Yeasts

Overview of attention for article published in Cell, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Citations

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541 Dimensions

Readers on

mendeley
1216 Mendeley
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2 CiteULike
Title
Domestication and Divergence of Saccharomyces cerevisiae Beer Yeasts
Published in
Cell, September 2016
DOI 10.1016/j.cell.2016.08.020
Pubmed ID
Authors

Brigida Gallone, Jan Steensels, Troels Prahl, Leah Soriaga, Veerle Saels, Beatriz Herrera-Malaver, Adriaan Merlevede, Miguel Roncoroni, Karin Voordeckers, Loren Miraglia, Clotilde Teiling, Brian Steffy, Maryann Taylor, Ariel Schwartz, Toby Richardson, Christopher White, Guy Baele, Steven Maere, Kevin J. Verstrepen

Abstract

Whereas domestication of livestock, pets, and crops is well documented, it is still unclear to what extent microbes associated with the production of food have also undergone human selection and where the plethora of industrial strains originates from. Here, we present the genomes and phenomes of 157 industrial Saccharomyces cerevisiae yeasts. Our analyses reveal that today's industrial yeasts can be divided into five sublineages that are genetically and phenotypically separated from wild strains and originate from only a few ancestors through complex patterns of domestication and local divergence. Large-scale phenotyping and genome analysis further show strong industry-specific selection for stress tolerance, sugar utilization, and flavor production, while the sexual cycle and other phenotypes related to survival in nature show decay, particularly in beer yeasts. Together, these results shed light on the origins, evolutionary history, and phenotypic diversity of industrial yeasts and provide a resource for further selection of superior strains. PAPERCLIP.

X Demographics

X Demographics

The data shown below were collected from the profiles of 502 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 <1%
France 4 <1%
Germany 3 <1%
Spain 3 <1%
Netherlands 2 <1%
United Kingdom 2 <1%
Brazil 1 <1%
Australia 1 <1%
South Africa 1 <1%
Other 10 <1%
Unknown 1179 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 206 17%
Researcher 190 16%
Student > Master 190 16%
Student > Bachelor 186 15%
Student > Doctoral Student 40 3%
Other 166 14%
Unknown 238 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 403 33%
Biochemistry, Genetics and Molecular Biology 360 30%
Immunology and Microbiology 40 3%
Chemistry 34 3%
Engineering 25 2%
Other 93 8%
Unknown 261 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 644. 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 29 March 2024.
All research outputs
#34,755
of 25,845,895 outputs
Outputs from Cell
#249
of 17,301 outputs
Outputs of similar age
#672
of 349,855 outputs
Outputs of similar age from Cell
#4
of 178 outputs
Altmetric has tracked 25,845,895 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,301 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.9. This one has done particularly well, scoring higher than 98% 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 349,855 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.