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Heterochrony in the evolution of the planktonic foraminifer Globigerinoidesella fistulosa from the Trilobatus sacculifer plexus

Published online by Cambridge University Press:  11 March 2025

Anieke Brombacher
Affiliation:
School of Ocean and Earth Science, University of Southampton, Southampton SO14 3ZH, U.K.; present address: National Oceanography Centre, Southampton SO14 3ZH, U.K.
Christopher R. Poole
Affiliation:
Department of Earth Sciences, University College London, London WC1E 6BT, U.K.
Thomas H. G. Ezard
Affiliation:
School of Ocean and Earth Science, University of Southampton, Southampton SO14 3ZH, U.K.
Bridget S. Wade*
Affiliation:
Department of Earth Sciences, University College London, London WC1E 6BT, U.K.
*
Corresponding author: Bridget S. Wade; Email: b.wade@ucl.ac.uk

Abstract

Planktonic foraminifera are extremely well suited to studying evolutionary change in the fossil record due to their abundant deposits and global distribution. Species are typically conservative in their shell morphology, with the same geometric shapes appearing repeatedly through iterative evolution, but the mechanisms behind the architectural limits on foraminiferal shell shape are still not well understood. To determine how these developmental constraints arise, we study morphological change leading up to the origination of the unusually ornate species Globigerinoidesella fistulosa. We measured the size and circularity of more than 900 specimens of G. fistulosa, its ancestor the Trilobatus sacculifer plexus, and intermediate forms from a site in the western equatorial Pacific. Our results show that the origination of G. fistulosa from the T. sacculifer plexus involved a combination of two heterochronic expressions: earlier onset of protuberances (pre-displacement) and a steeper allometric slope (acceleration) as compared with its ancestor. Our work provides a case study of the complex morphological and developmental changes required to produce unusual shell shapes and highlights the importance of developmental deviations in evolutionary origination.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2025. Published by Cambridge University Press on behalf of Paleontological Society
Figure 0

Figure 1. Schematic representations of trait development for the six types of heterochrony: A, hypermorphosis, wherein traits develop for longer in the descendant than the ancestor, while the rate and onset of trait development remain the same; B, pre-displacement, wherein the onset of descendant trait development starts earlier, while the rate of development remains the same; C, acceleration, wherein the rate of trait development is higher in the descendant species, while the onset of development is the same as the ancestor; D, hypomorphosis, wherein traits stop developing earlier in the descendant than the ancestor; E, post-displacement, wherein the onset of descendant trait development starts later than in the ancestor; and F, deceleration, wherein the rate of trait development is slower in the descendant than the ancestor.

Figure 1

Figure 2. A,Trilobatus sacculifer (re-illustrated from Poole and Wade 2019: fig. 9D); B, an intermediate form between T. sacculifer and Globigerinoidesella fistulosa (re-illustrated from Poole and Wade 2019: fig. 11L); C,G. fistulosa (re-illustrated from Poole and Wade 2019: fig. 13J). All specimens from Ocean Drilling Program (ODP) Site 1115. Scale bars, 100 μm.

Figure 2

Figure 3. Location of Ocean Drilling Program (ODP) Site 1115 in the western Woodlark Basin, equatorial Pacific.

Figure 3

Figure 4. Magneto- and biostratigraphy at Ocean Drilling Program (ODP) Hole 1115B. Gray shaded boxes indicate intervals examined in this study for morphometric analysis. Paleomagnetic chrons and bioevents from Chuang et al. (2018), supplemented by calcareous nannofossil (right-aligned in gray) and planktonic foraminifera (left-aligned in black) biostratigraphy in Poole (2017).

Figure 4

Table 1. Sample ID, depth, and number of analyzed specimens (n) per sample. The pooled sample contains specimens from three pooled, closely spaced samples of 1115B-10H with an average depth of 88 m below seafloor (m bsf).

Figure 5

Figure 5. Biometric and morphometric parameters measured on Trilobatus sacculifer and Globigerinoidesella fistulosa.

Figure 6

Figure 6. Trilobatus sacculifer size and shape allometry in five time intervals from oldest (A) to youngest (E) preceding the origination of Globigerinoidesella fistulosa. Black dots represent data from each panel's time interval, whereas gray dots show older data. Blue and red arrows indicate pre- and post-displacement, respectively. Most stages include several samples: stage (A) contains all samples from cores 24X-06 and 24X-05, stage (B) contains all samples from core 24X-04, stage (C) contains all samples from core 24X-03, stage (D) contains all samples from core 24X-02, and stage (E) contains all samples from core 24X-01. See Table 1 for full sample IDs.

Figure 7

Table 2. Log likelihood, Akaike information criterion (AIC), and Akaike weights for all four analyzed models of Trilobatus sacculifer area and curvature preceding origination of Globigerinoidesella fistulosa. ΔAIC represents the difference between AIC and the set's minimum AIC. The best-performing model based on AIC and Akaike weight is indicated in bold.

Figure 8

Figure 7. Log size and curvature for Trilobatus sacculifer, intermediate, and Globigerinoidesella fistulosa specimens. Straight lines show linear regressions for each species (T. sacculifer: R2 = 0.17, p < 0.001; intermediate: R2 = 0.014, p < 0.001; G. fistulosa: R2 = 0.29, p < 0.001).

Figure 9

Table 3. Log likelihood, Akaike information criterion (AIC), and Akaike weights for all four analyzed models comparing Trilobatus sacculifer, Globigerinoidesella fistulosa, and intermediate specimens’ area and curvature. ΔAIC represents the difference between AIC and the set's minimum AIC. The best-performing model based on AIC and Akaike weight is indicated in bold.