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Copy Number Variation in Fungi and Its Implications for Wine Yeast Genetic Diversity and Adaptation

Overview of attention for article published in Frontiers in Microbiology, February 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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Article details
Title
Copy Number Variation in Fungi and Its Implications for Wine Yeast Genetic Diversity and Adaptation
Published in
Frontiers in Microbiology, February 2018
DOI 10.3389/fmicb.2018.00288
Pubmed ID
Authors
Abstract

In recent years, copy number (CN) variation has emerged as a new and significant source of genetic polymorphisms contributing to the phenotypic diversity of populations. CN variants are defined as genetic loci that, due to duplication and deletion, vary in their number of copies across individuals in a population. CN variants range in size from 50 base pairs to whole chromosomes, can influence gene activity, and are associated with a wide range of phenotypes in diverse organisms, including the budding yeastSaccharomyces cerevisiae. In this review, we introduce CN variation, discuss the genetic and molecular mechanisms implicated in its generation, how they can contribute to genetic and phenotypic diversity in fungal populations, and consider how CN variants may influence wine yeast adaptation in fermentation-related processes. In particular, we focus on reviewing recent work investigating the contribution of changes in CN of fermentation-related genes in yeast wine strains and offer notable illustrations of such changes, including the high levels of CN variation among theCUPgenes, which confer resistance to copper, a metal with fungicidal properties, and the preferential deletion and duplication of theMAL1andMAL3loci, respectively, which are responsible for metabolizing maltose and sucrose. Based on the available data, we propose that CN variation is a substantial dimension of yeast genetic diversity that occurs largely independent of single nucleotide polymorphisms. As such, CN variation harbors considerable potential for understanding and manipulating yeast strains in the wine fermentation environment and beyond.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 120 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 %
Unknown 120 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 21 18%
Student > Ph. D. Student 20 17%
Student > Master 20 17%
Student > Bachelor 18 15%
Professor 5 4%
Other 11 9%
Unknown 25 21%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 34%
Agricultural and Biological Sciences 31 26%
Immunology and Microbiology 8 7%
Environmental Science 3 3%
Medicine and Dentistry 2 2%
Other 5 4%
Unknown 30 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 21 January 2023.
All research outputs
#1,865,576
of 34,846,597 outputs
Outputs from Frontiers in Microbiology
#1,180
of 36,566 outputs
Outputs of similar age
#30,647
of 374,294 outputs
Outputs of similar age from Frontiers in Microbiology
#22
of 604 outputs
Altmetric has tracked 34,846,597 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 36,566 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 96% 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 374,294 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 91% of its contemporaries.
We're also able to compare this research output to 604 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 96% of its contemporaries.