Cytoplasmic inheritance of parent–offspring cell structure in the clonal diatom<i>Cyclotella meneghiniana</i>

Shirokawa, Yuka; Shimada, Muneaki

doi:10.1098/rspb.2016.1632

Cited by 8 publications

(6 citation statements)

References 39 publications

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“…On the other hand, each chamber included offspring cells from the same founder, which tend to share common fates and cytoplasmic states [28,42]. Also, we found that two sibling cells from the same mother cell had more similar emergence time than cell pairs randomly sampled from the cell population (bootstrap hypothesis test in all pair combinations (S-S, E-E, E-S), p < 0.0001; figure 5).…”

Section: (C) Proximate Factors Influencing Synchronization Of Emergence Timingmentioning

confidence: 76%

Synchronized emergence under diatom sperm competition

Shirokawa

Shimada

2020

Proc. R. Soc. B.

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Appropriate timing of mating is crucial for the success of individuals. However, we know little about factors that explain variation in mating time in unicellular organisms. Unicellular eukaryotes often have facultative sexuality, that is, the less frequent sex is occasionally induced after long clonal reproduction. Thus, males originated from clonemates could be non-negligible mating rivals. Using a centric diatom whose clonal cells differentiate into either male or female, we analysed whether males (spermatogonium) compete or cooperate with each other. By analysing differentiation timing with hypotheses based on evolutionary game theory, we estimated that a substantial part of the variation in the mating timing of the diatom can be explained by results of optimization through interactions among selfish individuals rather than cooperation among clonemates. However, the competition is fiercer than expected owing to excessive synchronization, which was realized by adjustment of meiotic duration: cells completed mitotic division in the earlier mating phase took longer to enter into meiosis, whereas late-dividing cells entered into meiosis more quickly. Adjacent cells tended to synchronize, and model analyses suggest that cell–cell interaction can create a gap between the optimal and actual decisions. Our results provide insights into the evolution of cellular decision making and its restriction.

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Section: (C) Proximate Factors Influencing Synchronization Of Emergence Timingmentioning

confidence: 76%

Synchronized emergence under diatom sperm competition

Shirokawa

Shimada

2020

Proc. R. Soc. B.

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“…Cytoplasmic inheritance is non-genetic inheritance in which there is a division of cell states between cell lineages (Shirokawa and Shimada 2016…”

Section: Diatom Morphogenesis: Cytoplasmic Inheritance and Phenotypicmentioning

confidence: 99%

“…Daughter cell microscale surface structure patterns (i.e., morphological characters such as central fultoportulae, striae, central area, and cell diameter) correlate with parental organelles(Shirokawa and Shimada 2016).Cell structure traits are quantitatively different from structural traits inherited by genetic or non-genetic factors. In diatoms, cell structure variation results from the new formation of daughter cells within the parent as incomplete inheritance(Shirokawa and Shimada 2016).Microscale structural patterns on the daughter cell valve reflect not only the environmental conditions the parent cell was subjected to, but also the location of organelles within the parental cell(Shirokawa and Shimada 2016). As a result, diatoms exhibit phenotypic plasticity, and structural variation in shape and pattern of a cell are reflected during size diminution during the diatom life cycle.…”

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confidence: 99%

“…As a result, diatoms exhibit phenotypic plasticity, and structural variation in shape and pattern of a cell are reflected during size diminution during the diatom life cycle. Size reduction may occur over many generations, and partial renewal inheritance occurs such that one valve is always a parental cell in contrast to the new cell generated(Shirokawa and Shimada 2016). Ensemble surface features could be measured for parent and daughter cells, and values for parent cells could be plotted and regressed on values for daughter cells to determine a regression coefficient.…”

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confidence: 99%

“…Ensemble surface features could be measured for parent and daughter cells, and values for parent cells could be plotted and regressed on values for daughter cells to determine a regression coefficient. Potentially, hypotheses concerning cytoplasmic heritability(Shirokawa and Shimada 2016) could be devised and tested using ensemble surface measures.Non-heritable factors could be studied using ensemble surface features. The combinations of such features that indicate buckling may be related to degree of phenotypic plasticity in diatom valve surfaces.…”

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confidence: 99%

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Quantified ensemble 3D surface features modeled as a window on centric diatom valve morphogenesis

Pappas

2018

Preprint

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Morphological surface features are a record of genetic and developmental processes as well as environmental influences. The 3D geometric "terrain" of the surface consists of slopes via tangents, peaks and valleys via normals, smoothness of the transition between peaks and valleys, and point connections as flatness or curvature among all features. Such geometric quantities can be used to indicate morphological changes in valve formation over time. Quantified 3D surface features as geometric pattern ensembles may be representative of structural snapshots of the morphogenetic process.For diatoms, valve formation and pattern morphogenesis has been modeled using Turinglike and other algorithmic techniques to mimic the way in which diatoms exhibit the highly diverse patterns on their valve surfaces. How the created surface features are related to one another is not necessarily determined via such methods. With the diatom valve face structure of layered areolae, cribra, and other morphological characters, valve formation exhibits different combined geometries unfolding as 3D structural ensembles in particular spatial arrangements. Quantifying ensemble 3D surface geometries is attainable via models devised using parametric 3D equations and extracting surface features via partial derivatives for slopes, peaks and valleys, smoothness, and flatness as feature connectedness. Differences in ensemble 3D surface features may be used to assess structural differences among selected diatom genera as indicators of different valve formation sequences in surface generation and morphogenesis.

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