2019
DOI: 10.1073/pnas.1815342116
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Modulation of tissue growth heterogeneity by responses to mechanical stress

Abstract: FIG. 1. Growth mean square deviation, G(R, T), as a function of the coarse-graining size, R, shown for different levels of anisotropic mechanical response, βs. G(R, T) and R are normalized using R0 = 20. Blue and green lines correspond to hypoand hyper-responsive regimes, respectively. The asymptotic power-law for low anisotropic mechanical response is shown by the blue dashed line. For high anisotropic mechanical response, G(R, T) oscillates around a power-law (dashed green lines). ωρ = 1, ωs = 1, β0 = 1, βρ … Show more

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Cited by 21 publications
(14 citation statements)
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“…In other words, the cell's response to mechanical stress needs to be suboptimal to promote developmental robustness. This result echoes plant-based computational simulations suggesting the ambivalent nature of mechanical stress in growth heterogeneity [11,65] and opens several avenues to test whether comparable conclusions can be reached in animal systems.…”
Section: A Suboptimal Response To Mechanical Stress Buffers Growth Variationssupporting
confidence: 73%
“…In other words, the cell's response to mechanical stress needs to be suboptimal to promote developmental robustness. This result echoes plant-based computational simulations suggesting the ambivalent nature of mechanical stress in growth heterogeneity [11,65] and opens several avenues to test whether comparable conclusions can be reached in animal systems.…”
Section: A Suboptimal Response To Mechanical Stress Buffers Growth Variationssupporting
confidence: 73%
“…Fluctuation stretching, the enlargement of the lengthscale of fluctuations by medium expansion, is predicted by different models of expanding media, the early universe [16] and living tissues [14, 15]. Fluctuation stretching can be understood with the help of FIG.1 and is formally derived in section Datasets and Methods.…”
Section: Resultsmentioning
confidence: 99%
“…Recent models of tissue mechanics and growth accounted for temporal and spatial fluctuations of growth and investigated their role in robustness of morphogenesis [26][27][28]. Temporal fluctuations are characterised by their degree of persistence, quantified with the persistence time (or correlation time), the characteristic time over which memory of previous fluctuations is lost.…”
Section: Introductionmentioning
confidence: 99%
“…In an alternative scenario, growth heterogeneity may decrease, either because the presence of adjacent cells rather fuels growth heterogeneity, as observed in shoot apical meristems (Uyttewaal et al, 2012), or because the supracellular averaging of individual cells growing at different speed may produce more reproducible organs than large sectors of cells growing at different speed, as shown in sepals (Hong et al, 2016). The ambivalent nature of mechanical conflicts in growth heterogeneity has recently been analyzed in computer simulations (Fruleux and Boudaoud, 2019). In a more complex scenario, plasmodemata may have a direct role in organ twisting.…”
Section: Discussionmentioning
confidence: 99%