Accounting for relatedness and spatial structure to improve plant phenotypic selection in the wild 🌱
Francisco E. Fontúrbel(1), Pedro F. Ferrer(2), Caren Vega-Retter(3) & Rodrigo Medel(3)
(1) Instituto de Biología, Facultad de Ciencias, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile. https://orcid.org/0000-0001-8585-2816
(2) Instituto Oncológico, Fundación Arturo López Pérez, Santiago, Chile.
(3) Departamento de Ciencias Ecológicas, Facultad de Ciencias, Universidad de Chile, Santiago, Chile.
Corresponding author: [email protected]
This repository contains data and code related to a new approach on phenotypic selection gradient analysis for plants (using the hemiparasitic mistletoe Tristerix corymbosus as a model), incorporating spatial and genetic data into classic Lande & Arnold equations. Here we developed new models and tested other approaches that were little useful.
Here we compare the performance of:
(i) the classic Lande & Arnold model
(ii) a model incorporating spatial structure
(iii) a model incorporating the genetic structure, accounting for inter-individual relatedness
(iv) a model incoporating both spatial and genetic terms
These models constitute a novel approach that could be applied to any wild plant population.
To test our models we are using an existing dataset on Tristerix corymbosus that was previously used to estimate phenotypic selection on three friuit traits (i.e., fruit size, seed size, and sugar content). Those results can be found in this paper and the dataset is freely available at the figshare repository.
We also used genetic information (microsatellite markers) of the same T. corymbosus plants from another paper. Our dataset contains ten microsatellite markers that can be used to estimate inter-individual relatedness.
Fontúrbel, F.E., P.F. Ferrer, C. Vega-Retter & R. Medel. 2021. Accounting for relatedness and spatial structure to improve plant phenotypic selection in the wild. Evolutionary Ecology 35(1): 15-26. https://doi.org/10.1007/s10682-020-10089-3
The information contained in this repository can be freely used under the sole condition of acknowledging the authors and give the respective credit.
