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Genome evolution across 1,011 Saccharomyces cerevisiae isolates

Overview of attention for article published in Nature, April 2018
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  • 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 (81st percentile)

Citations

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834 Dimensions

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753 Mendeley
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3 CiteULike
Title
Genome evolution across 1,011 Saccharomyces cerevisiae isolates
Published in
Nature, April 2018
DOI 10.1038/s41586-018-0030-5
Pubmed ID
Authors

Jackson Peter, Matteo De Chiara, Anne Friedrich, Jia-Xing Yue, David Pflieger, Anders Bergström, Anastasie Sigwalt, Benjamin Barre, Kelle Freel, Agnès Llored, Corinne Cruaud, Karine Labadie, Jean-Marc Aury, Benjamin Istace, Kevin Lebrigand, Pascal Barbry, Stefan Engelen, Arnaud Lemainque, Patrick Wincker, Gianni Liti, Joseph Schacherer

Abstract

Large-scale population genomic surveys are essential to explore the phenotypic diversity of natural populations. Here we report the whole-genome sequencing and phenotyping of 1,011 Saccharomyces cerevisiae isolates, which together provide an accurate evolutionary picture of the genomic variants that shape the species-wide phenotypic landscape of this yeast. Genomic analyses support a single 'out-of-China' origin for this species, followed by several independent domestication events. Although domesticated isolates exhibit high variation in ploidy, aneuploidy and genome content, genome evolution in wild isolates is mainly driven by the accumulation of single nucleotide polymorphisms. A common feature is the extensive loss of heterozygosity, which represents an essential source of inter-individual variation in this mainly asexual species. Most of the single nucleotide polymorphisms, including experimentally identified functional polymorphisms, are present at very low frequencies. The largest numbers of variants identified by genome-wide association are copy-number changes, which have a greater phenotypic effect than do single nucleotide polymorphisms. This resource will guide future population genomics and genotype-phenotype studies in this classic model system.

X Demographics

X Demographics

The data shown below were collected from the profiles of 366 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 753 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 753 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 155 21%
Researcher 131 17%
Student > Master 92 12%
Student > Bachelor 72 10%
Student > Doctoral Student 33 4%
Other 107 14%
Unknown 163 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 255 34%
Agricultural and Biological Sciences 209 28%
Immunology and Microbiology 24 3%
Computer Science 11 1%
Medicine and Dentistry 8 1%
Other 56 7%
Unknown 190 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 365. 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 07 September 2023.
All research outputs
#87,084
of 25,397,764 outputs
Outputs from Nature
#6,227
of 97,875 outputs
Outputs of similar age
#2,151
of 343,302 outputs
Outputs of similar age from Nature
#168
of 917 outputs
Altmetric has tracked 25,397,764 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 97,875 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.5. This one has done particularly well, scoring higher than 93% 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 343,302 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 917 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.