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Comparative genomics of biotechnologically important yeasts

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, August 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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
8 news outlets
blogs
3 blogs
twitter
15 X users
patent
10 patents
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
486 Mendeley
citeulike
1 CiteULike
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Article details
Title
Comparative genomics of biotechnologically important yeasts
Published in
Proceedings of the National Academy of Sciences of the United States of America, August 2016
DOI 10.1073/pnas.1603941113
Pubmed ID
Authors
Abstract

Ascomycete yeasts are metabolically diverse, with great potential for biotechnology. Here, we report the comparative genome analysis of 29 taxonomically and biotechnologically important yeasts, including 16 newly sequenced. We identify a genetic code change, CUG-Ala, in Pachysolen tannophilus in the clade sister to the known CUG-Ser clade. Our well-resolved yeast phylogeny shows that some traits, such as methylotrophy, are restricted to single clades, whereas others, such as l-rhamnose utilization, have patchy phylogenetic distributions. Gene clusters, with variable organization and distribution, encode many pathways of interest. Genomics can predict some biochemical traits precisely, but the genomic basis of others, such as xylose utilization, remains unresolved. Our data also provide insight into early evolution of ascomycetes. We document the loss of H3K9me2/3 heterochromatin, the origin of ascomycete mating-type switching, and panascomycete synteny at the MAT locus. These data and analyses will facilitate the engineering of efficient biosynthetic and degradative pathways and gateways for genomic manipulation.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 486 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 <1%
France 2 <1%
South Africa 1 <1%
Singapore 1 <1%
Germany 1 <1%
China 1 <1%
Brazil 1 <1%
Unknown 476 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 92 19%
Student > Master 69 14%
Researcher 68 14%
Student > Bachelor 51 10%
Other 23 5%
Other 64 13%
Unknown 119 24%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 155 32%
Agricultural and Biological Sciences 125 26%
Immunology and Microbiology 13 3%
Engineering 11 2%
Medicine and Dentistry 8 2%
Other 39 8%
Unknown 135 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 93. 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 11 August 2026.
All research outputs
#581,128
of 34,526,284 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#9,285
of 119,110 outputs
Outputs of similar age
#8,254
of 344,430 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#148
of 884 outputs
Altmetric has tracked 34,526,284 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 119,110 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one has done particularly well, scoring higher than 92% 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 344,430 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 97% of its contemporaries.
We're also able to compare this research output to 884 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.