Cargando…

Quantifying temporal isolation: a modelling approach assessing the effect of flowering time differences on crop-to-weed pollen flow in sunflower

Flowering time divergence can be a crucial component of reproductive isolation between sympatric populations, but few studies have quantified its actual contribution to the reduction of gene flow. In this study, we aimed at estimating pollen-mediated gene flow between cultivated sunflower and a weed...

Descripción completa

Detalles Bibliográficos
Autores principales: Roumet, Marie, Cayre, Adeline, Latreille, Muriel, Muller, Marie-Hélène
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4310582/
https://www.ncbi.nlm.nih.gov/pubmed/25667603
http://dx.doi.org/10.1111/eva.12222
_version_ 1782354887796850688
author Roumet, Marie
Cayre, Adeline
Latreille, Muriel
Muller, Marie-Hélène
author_facet Roumet, Marie
Cayre, Adeline
Latreille, Muriel
Muller, Marie-Hélène
author_sort Roumet, Marie
collection PubMed
description Flowering time divergence can be a crucial component of reproductive isolation between sympatric populations, but few studies have quantified its actual contribution to the reduction of gene flow. In this study, we aimed at estimating pollen-mediated gene flow between cultivated sunflower and a weedy conspecific sunflower population growing in the same field and at quantifying, how it is affected by the weeds' flowering time. For that purpose, we extended an existing mating model by including a temporal distance (i.e. flowering time difference between potential parents) effect on mating probabilities. Using phenological and genotypic data gathered on the crop and on a sample of the weedy population and its offspring, we estimated an average hybridization rate of approximately 10%. This rate varied strongly from 30% on average for weeds flowering at the crop flowering peak to 0% when the crop finished flowering and was affected by the local density of weeds. Our result also suggested the occurrence of other factors limiting crop-to-weed gene flow. This level of gene flow and its dependence on flowering time might influence the evolutionary fate of weedy sunflower populations sympatric to their crop relative.
format Online
Article
Text
id pubmed-4310582
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BlackWell Publishing Ltd
record_format MEDLINE/PubMed
spelling pubmed-43105822015-02-09 Quantifying temporal isolation: a modelling approach assessing the effect of flowering time differences on crop-to-weed pollen flow in sunflower Roumet, Marie Cayre, Adeline Latreille, Muriel Muller, Marie-Hélène Evol Appl Original Articles Flowering time divergence can be a crucial component of reproductive isolation between sympatric populations, but few studies have quantified its actual contribution to the reduction of gene flow. In this study, we aimed at estimating pollen-mediated gene flow between cultivated sunflower and a weedy conspecific sunflower population growing in the same field and at quantifying, how it is affected by the weeds' flowering time. For that purpose, we extended an existing mating model by including a temporal distance (i.e. flowering time difference between potential parents) effect on mating probabilities. Using phenological and genotypic data gathered on the crop and on a sample of the weedy population and its offspring, we estimated an average hybridization rate of approximately 10%. This rate varied strongly from 30% on average for weeds flowering at the crop flowering peak to 0% when the crop finished flowering and was affected by the local density of weeds. Our result also suggested the occurrence of other factors limiting crop-to-weed gene flow. This level of gene flow and its dependence on flowering time might influence the evolutionary fate of weedy sunflower populations sympatric to their crop relative. BlackWell Publishing Ltd 2015-01 2014-12-02 /pmc/articles/PMC4310582/ /pubmed/25667603 http://dx.doi.org/10.1111/eva.12222 Text en © 2014 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Roumet, Marie
Cayre, Adeline
Latreille, Muriel
Muller, Marie-Hélène
Quantifying temporal isolation: a modelling approach assessing the effect of flowering time differences on crop-to-weed pollen flow in sunflower
title Quantifying temporal isolation: a modelling approach assessing the effect of flowering time differences on crop-to-weed pollen flow in sunflower
title_full Quantifying temporal isolation: a modelling approach assessing the effect of flowering time differences on crop-to-weed pollen flow in sunflower
title_fullStr Quantifying temporal isolation: a modelling approach assessing the effect of flowering time differences on crop-to-weed pollen flow in sunflower
title_full_unstemmed Quantifying temporal isolation: a modelling approach assessing the effect of flowering time differences on crop-to-weed pollen flow in sunflower
title_short Quantifying temporal isolation: a modelling approach assessing the effect of flowering time differences on crop-to-weed pollen flow in sunflower
title_sort quantifying temporal isolation: a modelling approach assessing the effect of flowering time differences on crop-to-weed pollen flow in sunflower
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4310582/
https://www.ncbi.nlm.nih.gov/pubmed/25667603
http://dx.doi.org/10.1111/eva.12222
work_keys_str_mv AT roumetmarie quantifyingtemporalisolationamodellingapproachassessingtheeffectoffloweringtimedifferencesoncroptoweedpollenflowinsunflower
AT cayreadeline quantifyingtemporalisolationamodellingapproachassessingtheeffectoffloweringtimedifferencesoncroptoweedpollenflowinsunflower
AT latreillemuriel quantifyingtemporalisolationamodellingapproachassessingtheeffectoffloweringtimedifferencesoncroptoweedpollenflowinsunflower
AT mullermariehelene quantifyingtemporalisolationamodellingapproachassessingtheeffectoffloweringtimedifferencesoncroptoweedpollenflowinsunflower