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Functional and regulatory profiling of energy metabolism in fission yeast

Overview of attention for article published in Genome Biology, November 2016
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Title
Functional and regulatory profiling of energy metabolism in fission yeast
Published in
Genome Biology, November 2016
DOI 10.1186/s13059-016-1101-2
Pubmed ID
Authors

Michal Malecki, Danny A. Bitton, Maria Rodríguez-López, Charalampos Rallis, Noelia Garcia Calavia, Graeme C. Smith, Jürg Bähler

Abstract

The control of energy metabolism is fundamental for cell growth and function and anomalies in it are implicated in complex diseases and ageing. Metabolism in yeast cells can be manipulated by supplying different carbon sources: yeast grown on glucose rapidly proliferates by fermentation, analogous to tumour cells growing by aerobic glycolysis, whereas on non-fermentable carbon sources metabolism shifts towards respiration. We screened deletion libraries of fission yeast to identify over 200 genes required for respiratory growth. Growth media and auxotrophic mutants strongly influenced respiratory metabolism. Most genes uncovered in the mutant screens have not been implicated in respiration in budding yeast. We applied gene-expression profiling approaches to compare steady-state fermentative and respiratory growth and to analyse the dynamic adaptation to respiratory growth. The transcript levels of most genes functioning in energy metabolism pathways are coherently tuned, reflecting anticipated differences in metabolic flows between fermenting and respiring cells. We show that acetyl-CoA synthase, rather than citrate lyase, is essential for acetyl-CoA synthesis in fission yeast. We also investigated the transcriptional response to mitochondrial damage by genetic or chemical perturbations, defining a retrograde response that involves the concerted regulation of distinct groups of nuclear genes that may avert harm from mitochondrial malfunction. This study provides a rich framework of the genetic and regulatory basis of energy metabolism in fission yeast and beyond, and it pinpoints weaknesses of commonly used auxotroph mutants for investigating metabolism. As a model for cellular energy regulation, fission yeast provides an attractive and complementary system to budding yeast.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Unknown 107 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 18%
Student > Bachelor 19 17%
Student > Ph. D. Student 18 17%
Student > Master 8 7%
Professor 4 4%
Other 15 14%
Unknown 25 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 40%
Agricultural and Biological Sciences 25 23%
Unspecified 2 2%
Psychology 2 2%
Medicine and Dentistry 2 2%
Other 6 6%
Unknown 28 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 November 2016.
All research outputs
#15,168,964
of 25,373,627 outputs
Outputs from Genome Biology
#3,931
of 4,467 outputs
Outputs of similar age
#220,968
of 416,155 outputs
Outputs of similar age from Genome Biology
#51
of 57 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 416,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.