The University of Southampton
University of Southampton Institutional Repository

Developmental plasticity in deep time: a window to population ecological inference

Developmental plasticity in deep time: a window to population ecological inference
Developmental plasticity in deep time: a window to population ecological inference
Developmental plasticity, where traits change state in response to environmental cues, is well-studied in modern populations. It is also suspected to play a role in macroevolutionary dynamics, but due to a lack of long-term records the frequency of plasticity-led evolution in deep time remains unknown. Populations are dynamic entities, yet their representation in the fossil record is a static snapshot of often isolated individuals. Here, we apply for the first time contemporary integral projection models (IPMs) to fossil data to link individual development with expected population variation. IPMs describe the effects of individual growth in discrete steps on long-term population dynamics. We parameterize the models using modern and fossil data of the planktonic foraminifer Trilobatus sacculifer. Foraminifera grow by adding chambers in discrete stages and die at reproduction, making them excellent case studies for IPMs. Our results predict that somatic growth rates have almost twice as much influence on population dynamics than survival and more than eight times more influence than reproduction, suggesting that selection would primarily target somatic growth as the major determinant of fitness. As numerous palaeobiological systems record growth rate increments in single genetic individuals, and imaging technologies are increasingly available, our results open up the possibility of evidence-based inference of developmental plasticity spanning macroevolutionary dynamics. Given the centrality of ecology in palaeobiological thinking, our model is one approach to help bridge eco-evolutionary scales while directing attention towards the most relevant life-history traits to measure.
0094-8373
Brombacher, Anieke
2a4bbb84-4743-4a36-973b-4ad2bf743154
Schmidt, Daniela
86a34245-7197-4ad2-984c-40374fe00b60
Ezard, Thomas
a143a893-07d0-4673-a2dd-cea2cd7e1374
Brombacher, Anieke
2a4bbb84-4743-4a36-973b-4ad2bf743154
Schmidt, Daniela
86a34245-7197-4ad2-984c-40374fe00b60
Ezard, Thomas
a143a893-07d0-4673-a2dd-cea2cd7e1374

Brombacher, Anieke, Schmidt, Daniela and Ezard, Thomas (2022) Developmental plasticity in deep time: a window to population ecological inference. Paleobiology. (In Press)

Record type: Article

Abstract

Developmental plasticity, where traits change state in response to environmental cues, is well-studied in modern populations. It is also suspected to play a role in macroevolutionary dynamics, but due to a lack of long-term records the frequency of plasticity-led evolution in deep time remains unknown. Populations are dynamic entities, yet their representation in the fossil record is a static snapshot of often isolated individuals. Here, we apply for the first time contemporary integral projection models (IPMs) to fossil data to link individual development with expected population variation. IPMs describe the effects of individual growth in discrete steps on long-term population dynamics. We parameterize the models using modern and fossil data of the planktonic foraminifer Trilobatus sacculifer. Foraminifera grow by adding chambers in discrete stages and die at reproduction, making them excellent case studies for IPMs. Our results predict that somatic growth rates have almost twice as much influence on population dynamics than survival and more than eight times more influence than reproduction, suggesting that selection would primarily target somatic growth as the major determinant of fitness. As numerous palaeobiological systems record growth rate increments in single genetic individuals, and imaging technologies are increasingly available, our results open up the possibility of evidence-based inference of developmental plasticity spanning macroevolutionary dynamics. Given the centrality of ecology in palaeobiological thinking, our model is one approach to help bridge eco-evolutionary scales while directing attention towards the most relevant life-history traits to measure.

Text
Brombacher et al, Paleobiology - Accepted Manuscript
Download (620kB)

More information

Accepted/In Press date: 17 June 2022

Identifiers

Local EPrints ID: 467921
URI: http://eprints.soton.ac.uk/id/eprint/467921
ISSN: 0094-8373
PURE UUID: ec619ff2-8ad9-4f3c-a19e-888dec053556
ORCID for Anieke Brombacher: ORCID iD orcid.org/0000-0003-2310-047X
ORCID for Thomas Ezard: ORCID iD orcid.org/0000-0001-8305-6605

Catalogue record

Date deposited: 25 Jul 2022 17:16
Last modified: 22 Nov 2022 02:48

Export record

Contributors

Author: Daniela Schmidt
Author: Thomas Ezard ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×