Many-to-one form-to-function mapping weakens parallel morphological evolution

Thompson, Cole J; Ahmed, Newaz I; Veen, T; Peichel, Catherine; Hendry, Andrew P; Bolnick, Daniel I; Stuart, Yoel E (2017). Many-to-one form-to-function mapping weakens parallel morphological evolution. Evolution, 71(11), pp. 2738-2749. Wiley 10.1111/evo.13357

[img] Text
Thompson et al 2017 Evolution.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (946kB) | Request a copy

Evolutionary ecologists aim to explain and predict evolutionary change under different selective regimes. Theory suggests that such evolutionary prediction should be more difficult for biomechanical systems in which different trait combinations generate the same functional output: "many-to-one mapping." Many-to-one mapping of phenotype to function enables multiple morphological solutions to meet the same adaptive challenges. Therefore, many-to-one mapping should undermine parallel morphological evolution, and hence evolutionary predictability, even when selection pressures are shared among populations. Studying 16 replicate pairs of lake- and stream-adapted threespine stickleback (Gasterosteus aculeatus), we quantified three parts of the teleost feeding apparatus and used biomechanical models to calculate their expected functional outputs. The three feeding structures differed in their form-to-function relationship from one-to-one (lower jaw lever ratio) to increasingly many-to-one (buccal suction index, opercular 4-bar linkage). We tested for (1) weaker linear correlations between phenotype and calculated function, and (2) less parallel evolution across lake-stream pairs, in the many-to-one systems relative to the one-to-one system. We confirm both predictions, thus supporting the theoretical expectation that increasing many-to-one mapping undermines parallel evolution. Therefore, sole consideration of morphological variation within and among populations might not serve as a proxy for functional variation when multiple adaptive trait combinations exist.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) > Evolutionary Ecology

UniBE Contributor:

Peichel, Catherine

Subjects:

500 Science > 570 Life sciences; biology

ISSN:

0014-3820

Publisher:

Wiley

Language:

English

Submitter:

Catherine Peichel

Date Deposited:

13 Dec 2017 08:13

Last Modified:

05 Dec 2022 15:08

Publisher DOI:

10.1111/evo.13357

PubMed ID:

28881442

BORIS DOI:

10.7892/boris.106841

URI:

https://boris.unibe.ch/id/eprint/106841

Actions (login required)

Edit item Edit item
Provide Feedback