Specimen alignment with limited point-based homology: 3D morphometrics of disparate bivalve shells (Mollusca: Bivalvia)

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Aquatic Biology

Main article text

 

Introduction

Approaches to orienting the bivalve shell

Orientation via shell geometry

Orientation via shell biomechanics

Orientation via indicators of the soft body on the shell

Alignment of shells for comparative morphological analysis: proposed protocol

  • SX-HL-oHL. Anteroposterior orientation determined by the hinge line (HL); dorsoventral orientation determined by the orthogonal line to the HL within the commissural plane (oHL). This alignment emulates the orientation scheme for measuring shell height, length, and width—the most common and widely applicable framework for comparing shell morphology (Cox, Nuttall & Trueman, 1969:81–82; Kosnik et al., 2006).

  • SX-OAX-oOAX. Anteroposterior orientation determined by the proxied positions of the mouth and anus using shell features (oro-anal axis, OAX); dorsoventral orientation determined by the orthogonal line to the OAX within the commissural plane (oOAX). Similar to SX-HL-oHL, this alignment largely determines orientation by a single axis, the OAX, which has also been used to frame linear measurements of shell morphology (e.g. Stanley, 1970:19).

  • SX-HL-GX. Anteroposterior orientation determined by the hinge line (HL); dorsoventral orientation determined by the maximum growth axis (GX). This alignment allows an aspect of shell growth to affect its orientation and thus the degrees of morphological similarity among specimens.

  • SX-HL-GX-OAX. Anteroposterior orientation determined by the directions of both the HL and OAX; dorsoventral orientation determined by GX. This ‘full’ alignment scheme incorporates axes derived from intrinsic characteristics of the shell and the soft body for orientation. For example, the HL and OAX are not necessarily congruent, and thus both axes can contribute to anteroposterior orientation.

  • SX-COMM. Anteroposterior and dorsoventral orientation determined by the shape of the commissure curve, with the initial point nearest the beak (Fig. 2A). This alignment uses the geometric correspondence of semilandmarks on the commissure that capture the relationship between its shape and growth.

Methods

Dataset

Aligning bivalve shells for comparative morphometrics

Scaling

Translation

Rotation

Sagittal orientation

Anteroposterior orientation

Dorsoventral orientation

Commissure orientation

Standardized axis points

Alignment and comparison of shape differences

Results

Discussion

Effects of translation

Effects of scaling

Effects of rotation

Practical considerations for comparative morphology of bivalve shells

Applications to other model systems with accretionary growth

Conclusions

Supplemental Information

Supplemental Text, Tables, and Figures.

DOI: 10.7717/peerj.13617/supp-1

Additional Information and Declarations

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Stewart M. Edie conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.

Katie Susanna Collins conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.

David Jablonski performed the experiments, analyzed the data, authored or reviewed drafts of the article, and approved the final draft.

Data Availability

The following information was supplied regarding data availability:

The mesh models, landmark data, and code for reproducing analyses and figures are available at Zenodo: Edie, Stewart M. (2022). Specimen alignment with limited point-based homology: 3D morphometrics of disparate bivalve shells (Mollusca: Bivalvia) (2.1) (Data set). Zenodo. https://doi.org/10.5281/zenodo.6568044.

The mesh models are available at Morphosource (Project ID 000429826):

- https://doi.org/10.17602/M2/M429843

- https://doi.org/10.17602/M2/M429837

- https://doi.org/10.17602/M2/M429849

- https://doi.org/10.17602/M2/M429855

- https://doi.org/10.17602/M2/M429831

- https://doi.org/10.17602/M2/M429862

- https://doi.org/10.17602/M2/M429868

- https://doi.org/10.17602/M2/M429874

- https://doi.org/10.17602/M2/M429894

- https://doi.org/10.17602/M2/M429888

- https://doi.org/10.17602/M2/M429881.

Funding

This work was supported by the National Aeronautics and Space Administration (NNX16AJ34G), the National Science Foundation (EAR-0922156, EAR-2049627), and the University of Chicago Center for Data and Computing. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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