Geometric analysis and estimation of the growth rate gradient on gastropod shells

Noshita, Koji; Shimizu, Keisuke; Sasaki, Takenori

doi:10.1016/j.jtbi.2015.10.011

Cited by 9 publications

(7 citation statements)

References 38 publications

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“…Our finding of cellular asymmetries that could drive abapical aperture growth shows the value of integrating developmental studies with modeling to better understand the genesis of shell shapes. While various aperture growth models can generate very realistic shell morphology, there are too many degrees of freedom inherent in them to predict where in the mantle the relevant growth is occurring (38). In general, our work points to specific modes of growth that may produce the observed patterns of aperture behavior.…”

Section: Translation Abapical Expansion and The Elaboration Of Gastmentioning

confidence: 83%

“…Derived gastropods have elongated apertures, with the margin more parallel to the axis of coiling (lower "E value"), and the shell being oriented more parallel to the substrate. This morphology is observed in both Tritia and Lymnaea adults (38). Vermeij (3,37) notes that rotation in shells with higher E values are usually generated by greater expansion of the aperture, and lower E-value shells accomplish rotation with greater extension of the margin.…”

Section: Translation Abapical Expansion and The Elaboration Of Gastmentioning

confidence: 95%

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Growth and morphogenesis of the gastropod shell

Johnson

Fogel

Lambert

2019

Proc. Natl. Acad. Sci. U.S.A.

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Gastropod shell morphologies are famously diverse but generally share a common geometry, the logarithmic coil. Variations on this morphology have been modeled mathematically and computationally but the developmental biology of shell morphogenesis remains poorly understood. Here we characterize the organization and growth patterns of the shell-secreting epithelium of the larval shell of the basket whelkTritia(also known asIlyanassa). Despite the larval shell’s relative simplicity, we find a surprisingly complex organization of the shell margin in terms of rows and zones of cells. We examined cell division patterns with EdU incorporation assays and found two growth zones within the shell margin. In the more anterior aperture growth zone, we find that inferred division angles are biased to lie parallel to the shell edge, and these divisions occur more on the margin’s left side. In the more posterior mantle epithelium growth zone, inferred divisions are significantly biased to the right, relative to the anterior–posterior axis. These growth zones, and the left–right asymmetries in cleavage patterns they display, can explain the major modes of shell morphogenesis at the level of cellular behavior. In a gastropod with a different coiling geometry,Planorbellasp., we find similar shell margin organization and growth zones asTritia, but different left–right asymmetries than we observed in the helically coiled shell ofTritia. These results indicate that differential growth patterns in the mantle edge epithelium contribute to shell shape in gastropod shells and identify cellular mechanisms that may vary to generate shell diversity in evolution.

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Section: Translation Abapical Expansion and The Elaboration Of Gastmentioning

confidence: 83%

Section: Translation Abapical Expansion and The Elaboration Of Gastmentioning

confidence: 95%

Growth and morphogenesis of the gastropod shell

Johnson

Fogel

Lambert

2019

Proc. Natl. Acad. Sci. U.S.A.

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“…In addition, this X-ray-based imaging technique was employed to study functional and biomechanical aspects of molluscs, including the microstructure of the byssus (Frølich et al 2015), eye anatomy in a chiton as well as in a bivalve (Palmer et al 2017), and radular tooth morphology in a chiton (Ukmar-Godec et al 2015). Recently, μCT systems of the latest generation are being used to study early ontogenetic stages of molluscs, for example in attempts to understand shell growth or the formation of suture patterns (Inoue and Kondo 2016, Lemanis et al 2016, Noshita et al 2016.…”

Section: Computed Tomography Techniques In Malacological Research μCtmentioning

confidence: 99%

Digital Three-Dimensional Imaging Techniques Provide New Analytical Pathways for Malacological Research

Ziegler¹,

Bock

Ketten

et al. 2018

American Malacological Bulletin

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“…The approach has been infrequently used for other animal groups. In malacology, the use of micro-CT is restricted to a small number of case studies involving anatomy (Golding and Jones 2007;Golding et al 2009), ontogeny (Kerbl et al 2013), paleontology (Takeda et al 2016), and shell morphology (Monnet et al 2009;Liew and Schilthuizen 2016;Noshita et al 2016).…”

Section: Introductionmentioning

confidence: 99%

3D Visualization of Calcified and Non-calcified Molluscan Tissues Using Computed Tomography

et al. 2018

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Three-dimensional (3D) reconstruction is an essential approach in morphological studies in biology and paleontology. Seeking an optimized protocol for nondestructive observations, we attempted 3D visualization of various molluscan shells and animals with X-ray micro-computed tomography (micro-CT). Calcified parts of molluscs were easily visualized except for cases with marked differences in thickness heterogeneity. 3D imaging of shell microstructure was difficult. Visualization of soft tissue requires staining to enhance the image contrast. Especially for soft tissues, synchrotron X-ray microtomography is the most advanced method to generate clear 3D images. 3D data facilitates morphological quantification, enabling calculations of length and volume even for very complex forms. X-ray micro-CT is extremely useful in the morphologic examination of

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Geometric analysis and estimation of the growth rate gradient on gastropod shells

Cited by 9 publications

References 38 publications

Growth and morphogenesis of the gastropod shell

Growth and morphogenesis of the gastropod shell

Digital Three-Dimensional Imaging Techniques Provide New Analytical Pathways for Malacological Research

3D Visualization of Calcified and Non-calcified Molluscan Tissues Using Computed Tomography

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