Parallel Profiling of Fission Yeast Deletion Mutants for Proliferation and for Lifespan During Long-Term Quiescence

Article


Sideri, Theodora, Rallis, C., Bitton, Danny A., Lages, Bruno M., Suo, Fang, Rodríguez-López, María, Du, Li-Lin and Bähler, Jürg 2014. Parallel Profiling of Fission Yeast Deletion Mutants for Proliferation and for Lifespan During Long-Term Quiescence. G3: Genes|Genomes|Genetics. 5 (1), pp. 145-155.
AuthorsSideri, Theodora, Rallis, C., Bitton, Danny A., Lages, Bruno M., Suo, Fang, Rodríguez-López, María, Du, Li-Lin and Bähler, Jürg
Abstract

Genetic factors underlying aging are remarkably conserved from yeast to human. The fission
yeast Schizosaccharomyces pombe is an emerging genetic model to analyze cellular aging. Chronological
lifespan (CLS) has been studied in stationary-phase yeast cells depleted for glucose, which only survive for
a few days. Here, we analyzed CLS in quiescent S. pombe cells deprived of nitrogen, which arrest in
a differentiated, G0-like state and survive for more than 2 months. We applied parallel mutant phenotyping
by barcode sequencing (Bar-seq) to assay pooled haploid deletion mutants as they aged together during longterm
quiescence. As expected, mutants with defects in autophagy or quiescence were under-represented or
not detected. Lifespan scores could be calculated for 1199 mutants. We focus the discussion on the 48 most
long-lived mutants, including both known aging genes in other model systems and genes not previously
implicated in aging. Genes encoding membrane proteins were particularly prominent as pro-aging factors.
We independently verified the extended CLS in individual assays for 30 selected mutants, showing the
efficacy of the screen. We also applied Bar-seq to profile all pooled deletion mutants for proliferation under
a standard growth condition. Unlike for stationary-phase cells, no inverse correlation between growth and
CLS of quiescent cells was evident. These screens provide a rich resource for further studies, and they
suggest that the quiescence model can provide unique, complementary insights into cellular aging.

JournalG3: Genes|Genomes|Genetics
Journal citation5 (1), pp. 145-155
ISSN2160-1836
Year2014
PublisherGenetics Society of America
Publisher's version
License
CC BY
Digital Object Identifier (DOI)doi:10.1534/g3.114.014415
Web address (URL)https://doi.org/10.1534/g3.114.014415
Publication dates
Online01 Dec 2014
Publication process dates
Deposited13 Feb 2018
Accepted25 Nov 2014
Accepted25 Nov 2014
Copyright information© 2014 The authors
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