TY - JOUR
T1 - Mathematical study of pattern formation accompanied by heterocyst differentiation in multicellular cyanobacterium
AU - Ishihara, Jun ichi
AU - Tachikawa, Masashi
AU - Iwasaki, Hideo
AU - Mochizuki, Atsushi
N1 - Funding Information:
We express our sincere thanks to Dr. Bernold Fiedler (Freie Universität Berlin) for his comments to our data analysis. We also thank members of the Mochizuki Lab (RIKEN), Hironori Asai, Shunsuke Iwamori and members of Iwasaki Lab (Waseda University) for their valuable comments and advice. This study was supported in part by Grants-in-Aid from JST CREST program of Japan (to A.M.), and the Japanese Society for the Promotion of Science 11J06592 (to J.I.), 23687002 and 00324393 (to H.I.).
Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2015/4/1
Y1 - 2015/4/1
N2 - The filamentous cyanobacterium, Anabaena sp. PCC 7120, is one of the simplest models of a multicellular system showing cellular differentiation. In nitrogen-deprived culture, undifferentiated vegetative cells differentiate into heterocysts at ~10-cell intervals along the cellular filament. As undifferentiated cells divide, the number of cells between heterocysts (segment length) increases, and a new heterocyst appears in the intermediate region.To understand how the heterocyst pattern is formed and maintained, we constructed a one-dimensional cellular automaton (CA) model of the heterocyst pattern formation. The dynamics of vegetative cells is modeled by a stochastic transition process including cell division, differentiation and increase of cell age (maturation). Cell division and differentiation depend on the time elapsed after the last cell division, the "cell age". The model dynamics was mathematically analyzed by a two-step Markov approximation. In the first step, we determined steady state of cell age distribution among vegetative cell population. In the second step, we determined steady state distribution of segment length among segment population. The analytical solution was consistent with the results of numerical simulations. We then compared the analytical solution with the experimental data, and quantitatively estimated the immeasurable intercellular kinetics. We found that differentiation is initially independent of cellular maturation, but becomes dependent on maturation as the pattern formation evolves. Our mathematical model and analysis enabled us to quantify the internal cellular dynamics at various stages of the heterocyst pattern formation.
AB - The filamentous cyanobacterium, Anabaena sp. PCC 7120, is one of the simplest models of a multicellular system showing cellular differentiation. In nitrogen-deprived culture, undifferentiated vegetative cells differentiate into heterocysts at ~10-cell intervals along the cellular filament. As undifferentiated cells divide, the number of cells between heterocysts (segment length) increases, and a new heterocyst appears in the intermediate region.To understand how the heterocyst pattern is formed and maintained, we constructed a one-dimensional cellular automaton (CA) model of the heterocyst pattern formation. The dynamics of vegetative cells is modeled by a stochastic transition process including cell division, differentiation and increase of cell age (maturation). Cell division and differentiation depend on the time elapsed after the last cell division, the "cell age". The model dynamics was mathematically analyzed by a two-step Markov approximation. In the first step, we determined steady state of cell age distribution among vegetative cell population. In the second step, we determined steady state distribution of segment length among segment population. The analytical solution was consistent with the results of numerical simulations. We then compared the analytical solution with the experimental data, and quantitatively estimated the immeasurable intercellular kinetics. We found that differentiation is initially independent of cellular maturation, but becomes dependent on maturation as the pattern formation evolves. Our mathematical model and analysis enabled us to quantify the internal cellular dynamics at various stages of the heterocyst pattern formation.
KW - Cell lineage analysis
KW - Cellular automaton model
KW - Cellular maturation
KW - Estimation
KW - Markov process
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U2 - 10.1016/j.jtbi.2015.01.034
DO - 10.1016/j.jtbi.2015.01.034
M3 - Article
C2 - 25665721
AN - SCOPUS:84923310584
SN - 0022-5193
VL - 371
SP - 9
EP - 23
JO - Journal of Theoretical Biology
JF - Journal of Theoretical Biology
ER -