Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains.
The field of systems biology is often held back by difficulties in obtaining comprehensive, high-quality, quantitative data sets. In this paper, we undertook an interlaboratory effort to generate such a data set for a very large number of cellular components in the yeast Saccharomyces cerevisiae, a widely used model organism that is also used in the production of fuels, chemicals, food ingredients and pharmaceuticals. With the current focus on biofuels and sustainability, there is much interest in harnessing this species as a general cell factory. In this study, we characterized two yeast strains, under two standard growth conditions. We ensured the high quality of the experimental data by evaluating a wide range of sampling and analytical techniques. Here we show significant differences in the maximum specific growth rate and biomass yield between the two strains. On the basis of the integrated analysis of the high-throughput data, we hypothesize that differences in phenotype are due to differences in protein metabolism.
Department of Biotechnology, Kluyver Centre for Genomics of Industrial Fermentation, Delft University of Technology, Julianalaan 67, Delft 2628 BC, The Netherlands.
André B
AB
Canelas
Nicola
N
Harrison
Alessandro
A
Fazio
Jie
J
Zhang
Juha-Pekka
JP
Pitkänen
Joost
J
van den Brink
Barbara M
BM
Bakker
Lara
L
Bogner
Jildau
J
Bouwman
Juan I
JI
Castrillo
Ayca
A
Cankorur
Pramote
P
Chumnanpuen
Pascale
P
Daran-Lapujade
Duygu
D
Dikicioglu
Karen
K
van Eunen
Jennifer C
JC
Ewald
Joseph J
JJ
Heijnen
Betul
B
Kirdar
Ismo
I
Mattila
Femke I C
FI
Mensonides
Anja
A
Niebel
Merja
M
Penttilä
Jack T
JT
Pronk
Matthias
M
Reuss
Laura
L
Salusjärvi
Uwe
U
Sauer
David
D
Sherman
Martin
M
Siemann-Herzberg
Hans
H
Westerhoff
Johannes
J
de Winde
Dina
D
Petranovic
Stephen G
SG
Oliver
Christopher T
CT
Workman
Nicola
N
Zamboni
Jens
J
Nielsen
D012441:Saccharomyces cerevisiae / Q000145:classification / Q000235:genetics / Q000254:growth & development* / Q000378:metabolism*; D049490:Systems Biology / Q000379:methods*
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