LAPSE:2023.23018
Published Article

LAPSE:2023.23018
Cell Length Growth in the Fission Yeast Cell Cycle: Is It (Bi)linear or (Bi)exponential?
March 27, 2023
Abstract
Fission yeast is commonly used as a model organism in eukaryotic cell growth studies. To describe the cells’ length growth patterns during the mitotic cycle, different models have been proposed previously as linear, exponential, bilinear and biexponential ones. The task of discriminating among these patterns is still challenging. Here, we have analyzed 298 individual cells altogether, namely from three different steady-state cultures (wild-type, wee1-50 mutant and pom1Δ mutant). We have concluded that in 190 cases (63.8%) the bilinear model was more adequate than either the linear or the exponential ones. These 190 cells were further examined by separately analyzing the linear segments of the best fitted bilinear models. Linear and exponential functions have been fitted to these growth segments to determine whether the previously fitted bilinear functions were really correct. The majority of these growth segments were found to be linear; nonetheless, a significant number of exponential ones were also detected. However, exponential ones occurred mainly in cases of rather short segments (<40 min), where there were not enough data for an accurate model fitting. By contrast, in long enough growth segments (≥40 min), linear patterns highly dominated over exponential ones, verifying that overall growth is probably bilinear.
Fission yeast is commonly used as a model organism in eukaryotic cell growth studies. To describe the cells’ length growth patterns during the mitotic cycle, different models have been proposed previously as linear, exponential, bilinear and biexponential ones. The task of discriminating among these patterns is still challenging. Here, we have analyzed 298 individual cells altogether, namely from three different steady-state cultures (wild-type, wee1-50 mutant and pom1Δ mutant). We have concluded that in 190 cases (63.8%) the bilinear model was more adequate than either the linear or the exponential ones. These 190 cells were further examined by separately analyzing the linear segments of the best fitted bilinear models. Linear and exponential functions have been fitted to these growth segments to determine whether the previously fitted bilinear functions were really correct. The majority of these growth segments were found to be linear; nonetheless, a significant number of exponential ones were also detected. However, exponential ones occurred mainly in cases of rather short segments (<40 min), where there were not enough data for an accurate model fitting. By contrast, in long enough growth segments (≥40 min), linear patterns highly dominated over exponential ones, verifying that overall growth is probably bilinear.
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Keywords
(bi)linear/(bi)exponential pattern, cell cycle mutant, cell length growth, fission yeast, model selection criterion
Subject
Suggested Citation
Pesti B, Nagy Z, Papp LA, Sipiczki M, Sveiczer Á. Cell Length Growth in the Fission Yeast Cell Cycle: Is It (Bi)linear or (Bi)exponential?. (2023). LAPSE:2023.23018
Author Affiliations
Pesti B: Department of Applied Biotechnology and Food Science, Budapest University of Technology and Economics, Szt. Gellért tér 4., 1111 Budapest, Hungary
Nagy Z: Department of Applied Biotechnology and Food Science, Budapest University of Technology and Economics, Szt. Gellért tér 4., 1111 Budapest, Hungary
Papp LA: Department of Genetics and Applied Microbiology, University of Debrecen, 4032 Debrecen, Hungary
Sipiczki M: Department of Genetics and Applied Microbiology, University of Debrecen, 4032 Debrecen, Hungary [ORCID]
Sveiczer Á: Department of Applied Biotechnology and Food Science, Budapest University of Technology and Economics, Szt. Gellért tér 4., 1111 Budapest, Hungary [ORCID]
Nagy Z: Department of Applied Biotechnology and Food Science, Budapest University of Technology and Economics, Szt. Gellért tér 4., 1111 Budapest, Hungary
Papp LA: Department of Genetics and Applied Microbiology, University of Debrecen, 4032 Debrecen, Hungary
Sipiczki M: Department of Genetics and Applied Microbiology, University of Debrecen, 4032 Debrecen, Hungary [ORCID]
Sveiczer Á: Department of Applied Biotechnology and Food Science, Budapest University of Technology and Economics, Szt. Gellért tér 4., 1111 Budapest, Hungary [ORCID]
Journal Name
Processes
Volume
9
Issue
9
First Page
1533
Year
2021
Publication Date
2021-08-28
ISSN
2227-9717
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Original Submission
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PII: pr9091533, Publication Type: Journal Article
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LAPSE:2023.23018
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https://doi.org/10.3390/pr9091533
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Mar 27, 2023
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