TY - JOUR
T1 - Glycogen is the primary source of glucose during the lag phase of E. coli proliferation
AU - Yamamotoya, Tomoaki
AU - Dose, Hitomi
AU - Tian, Zhongyuan
AU - Fauré, Adrien
AU - Toya, Yoshihiro
AU - Honma, Masayuki
AU - Igarashi, Kaori
AU - Nakahigashi, Kenji
AU - Soga, Tomoyoshi
AU - Mori, Hirotada
AU - Matsuno, Hiroshi
N1 - Funding Information:
This work was supported by a Grant-in-Aid for Scientific Research (A) ( 22241050 ) from the Ministry of Education, Culture, Sports, Science and Technology of Japan.
PY - 2012/12
Y1 - 2012/12
N2 - In the studies of Escherichia coli (E. coli), metabolomics analyses have mainly been performed using steady state culture. However, to analyze the dynamic changes in cellular metabolism, we performed a profiling of concentration of metabolites by using batch culture. As a first step, we focused on glucose uptake and the behavior of the first metabolite, G6P (glucose-6-phosphate). A computational formula was derived to express the glucose uptake rate by a single cell from two kinds of experimental data, extracellular glucose concentration and cell growth, being simulated by Cell Illustrator. In addition, average concentration of G6P has been measured by CE-MS. The existence of another carbon source was suggested from the computational result. After careful comparison between cell growth, G6P concentration, and the computationally obtained curve of glucose uptake rate, we predicted the consumption of glycogen in lag phase and its accumulation as an energy source in an E. coli cell for the next proliferation. We confirmed our prediction experimentally. This behavior indicates the importance of glycogen participation in the lag phase for the growth of E. coli. This article is part of a Special Issue entitled: Computational Methods for Protein Interaction and Structural Prediction.
AB - In the studies of Escherichia coli (E. coli), metabolomics analyses have mainly been performed using steady state culture. However, to analyze the dynamic changes in cellular metabolism, we performed a profiling of concentration of metabolites by using batch culture. As a first step, we focused on glucose uptake and the behavior of the first metabolite, G6P (glucose-6-phosphate). A computational formula was derived to express the glucose uptake rate by a single cell from two kinds of experimental data, extracellular glucose concentration and cell growth, being simulated by Cell Illustrator. In addition, average concentration of G6P has been measured by CE-MS. The existence of another carbon source was suggested from the computational result. After careful comparison between cell growth, G6P concentration, and the computationally obtained curve of glucose uptake rate, we predicted the consumption of glycogen in lag phase and its accumulation as an energy source in an E. coli cell for the next proliferation. We confirmed our prediction experimentally. This behavior indicates the importance of glycogen participation in the lag phase for the growth of E. coli. This article is part of a Special Issue entitled: Computational Methods for Protein Interaction and Structural Prediction.
KW - Cell growth
KW - Computational simulation
KW - E. coli metabolism
KW - Glycogen
UR - http://www.scopus.com/inward/record.url?scp=84867682550&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867682550&partnerID=8YFLogxK
U2 - 10.1016/j.bbapap.2012.06.010
DO - 10.1016/j.bbapap.2012.06.010
M3 - Article
C2 - 22750467
AN - SCOPUS:84867682550
SN - 1570-9639
VL - 1824
SP - 1442
EP - 1448
JO - Biochimica et Biophysica Acta - Proteins and Proteomics
JF - Biochimica et Biophysica Acta - Proteins and Proteomics
IS - 12
ER -