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Systems-level organization of yeast methylotrophic lifestyle

Overview of attention for article published in BMC Biology, September 2015
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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)

Mentioned by

news
9 news outlets
twitter
4 tweeters
patent
3 patents
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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92 Dimensions

Readers on

mendeley
181 Mendeley
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Title
Systems-level organization of yeast methylotrophic lifestyle
Published in
BMC Biology, September 2015
DOI 10.1186/s12915-015-0186-5
Pubmed ID
Authors

Hannes Rußmayer, Markus Buchetics, Clemens Gruber, Minoska Valli, Karlheinz Grillitsch, Gerda Modarres, Raffaele Guerrasio, Kristaps Klavins, Stefan Neubauer, Hedda Drexler, Matthias Steiger, Christina Troyer, Ali Al Chalabi, Guido Krebiehl, Denise Sonntag, Günther Zellnig, Günther Daum, Alexandra B. Graf, Friedrich Altmann, Gunda Koellensperger, Stephan Hann, Michael Sauer, Diethard Mattanovich, Brigitte Gasser

Abstract

Some yeasts have evolved a methylotrophic lifestyle enabling them to utilize the single carbon compound methanol as a carbon and energy source. Among them, Pichia pastoris (syn. Komagataella sp.) is frequently used for the production of heterologous proteins and also serves as a model organism for organelle research. Our current knowledge of methylotrophic lifestyle mainly derives from sophisticated biochemical studies which identified many key methanol utilization enzymes such as alcohol oxidase and dihydroxyacetone synthase and their localization to the peroxisomes. C1 assimilation is supposed to involve the pentose phosphate pathway, but details of these reactions are not known to date. In this work we analyzed the regulation patterns of 5,354 genes, 575 proteins, 141 metabolites, and fluxes through 39 reactions of P. pastoris comparing growth on glucose and on a methanol/glycerol mixed medium, respectively. Contrary to previous assumptions, we found that the entire methanol assimilation pathway is localized to peroxisomes rather than employing part of the cytosolic pentose phosphate pathway for xylulose-5-phosphate regeneration. For this purpose, P. pastoris (and presumably also other methylotrophic yeasts) have evolved a duplicated methanol inducible enzyme set targeted to peroxisomes. This compartmentalized cyclic C1 assimilation process termed xylose-monophosphate cycle resembles the principle of the Calvin cycle and uses sedoheptulose-1,7-bisphosphate as intermediate. The strong induction of alcohol oxidase, dihydroxyacetone synthase, formaldehyde and formate dehydrogenase, and catalase leads to high demand of their cofactors riboflavin, thiamine, nicotinamide, and heme, respectively, which is reflected in strong up-regulation of the respective synthesis pathways on methanol. Methanol-grown cells have a higher protein but lower free amino acid content, which can be attributed to the high drain towards methanol metabolic enzymes and their cofactors. In context with up-regulation of many amino acid biosynthesis genes or proteins, this visualizes an increased flux towards amino acid and protein synthesis which is reflected also in increased levels of transcripts and/or proteins related to ribosome biogenesis and translation. Taken together, our work illustrates how concerted interpretation of multiple levels of systems biology data can contribute to elucidation of yet unknown cellular pathways and revolutionize our understanding of cellular biology.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 2%
Finland 1 <1%
Mexico 1 <1%
Austria 1 <1%
Unknown 175 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 24%
Student > Master 33 18%
Researcher 30 17%
Student > Bachelor 18 10%
Student > Doctoral Student 10 6%
Other 18 10%
Unknown 29 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 76 42%
Agricultural and Biological Sciences 37 20%
Engineering 10 6%
Chemical Engineering 7 4%
Chemistry 5 3%
Other 7 4%
Unknown 39 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 73. 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 08 October 2020.
All research outputs
#389,928
of 19,033,718 outputs
Outputs from BMC Biology
#96
of 1,653 outputs
Outputs of similar age
#7,039
of 259,058 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 19,033,718 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one has done particularly well, scoring higher than 94% 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 259,058 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 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