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Factors driving metabolic diversity in the budding yeast subphylum

Overview of attention for article published in BMC Biology, March 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 (91st percentile)

Mentioned by

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51 tweeters

Citations

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30 Dimensions

Readers on

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78 Mendeley
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Title
Factors driving metabolic diversity in the budding yeast subphylum
Published in
BMC Biology, March 2018
DOI 10.1186/s12915-018-0498-3
Pubmed ID
Authors

Dana A. Opulente, Emily J. Rollinson, Cleome Bernick-Roehr, Amanda Beth Hulfachor, Antonis Rokas, Cletus P. Kurtzman, Chris Todd Hittinger

Abstract

Associations between traits are prevalent in nature, occurring across a diverse range of taxa and traits. Individual traits may co-evolve with one other, and these correlations can be driven by factors intrinsic or extrinsic to an organism. However, few studies, especially in microbes, have simultaneously investigated both across a broad taxonomic range. Here we quantify pairwise associations among 48 traits across 784 diverse yeast species of the ancient budding yeast subphylum Saccharomycotina, assessing the effects of phylogenetic history, genetics, and ecology. We find extensive negative (traits that tend to not occur together) and positive (traits that tend to co-occur) pairwise associations among traits, as well as between traits and environments. These associations can largely be explained by the biological properties of the traits, such as overlapping biochemical pathways. The isolation environments of the yeasts explain a minor but significant component of the variance, while phylogeny (the retention of ancestral traits in descendant species) plays an even more limited role. Positive correlations are pervasive among carbon utilization traits and track with chemical structures (e.g., glucosides and sugar alcohols) and metabolic pathways, suggesting a molecular basis for the presence of suites of traits. In several cases, characterized genes from model organisms suggest that enzyme promiscuity and overlapping biochemical pathways are likely mechanisms to explain these macroevolutionary trends. Interestingly, fermentation traits are negatively correlated with the utilization of pentose sugars, which are major components of the plant biomass degraded by fungi and present major bottlenecks to the production of cellulosic biofuels. Finally, we show that mammalian pathogenic and commensal yeasts have a suite of traits that includes growth at high temperature and, surprisingly, the utilization of a narrowed panel of carbon sources. These results demonstrate how both intrinsic physiological factors and extrinsic ecological factors drive the distribution of traits present in diverse organisms across macroevolutionary timescales.

Twitter Demographics

The data shown below were collected from the profiles of 51 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 21%
Student > Ph. D. Student 15 19%
Student > Master 11 14%
Student > Bachelor 6 8%
Student > Postgraduate 5 6%
Other 12 15%
Unknown 13 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 37%
Biochemistry, Genetics and Molecular Biology 24 31%
Immunology and Microbiology 2 3%
Chemical Engineering 1 1%
Computer Science 1 1%
Other 3 4%
Unknown 18 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 26 March 2019.
All research outputs
#1,097,687
of 22,045,435 outputs
Outputs from BMC Biology
#305
of 1,905 outputs
Outputs of similar age
#25,730
of 296,425 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 22,045,435 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,905 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one has done well, scoring higher than 84% 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 296,425 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them