Automated Author Profile

Roumet, Marie

Genetic Improvement and Adaptation of Mediterranean and Tropical Plants

Current S-Index

2.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.3

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

78.8%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data from: How to escape from crop-to-weed gene flow: phenological variation and isolation-by-time within weedy sunflower populations (Version: 1)

The evolution of crop-related weeds may be constrained by recurrent gene flow from the crop. However, flowering time variation within weedy populations may open the way for weed adaptation by allowing some weeds to escape from this constraint. We investigated this link between phenology, gene flow and adaptation in weedy sunflower populations recently emerged in Europe from crop-wild hybridization. We studied jointly flowering phenology and genetic diversity for 15 microsatellite loci in six cultivated sunflower fields infested by weedy sunflower populations. The flowering overlap of cultivated and weedy sunflowers varied between and within populations: some weedy individuals were found completely isolated from the crop, the frequency of these plants being higher in populations from highly infested fields. Within weedy populations, we detected a pattern of isolation-by-time: the genetic divergence between individuals was positively correlated with their divergence in flowering period. Additionally, earlier weeds, which flowered synchronously with the crop, were genetically more similar to the cultivated varieties than late-flowering weeds. Overall our results suggest that crop-to-weed gene flow did occur but was limited by divergent phenologies. We discuss the roles of weed adaptation and population history in generating this partial reproductive isolation.

Authors

  • Roumet, Marie ;
  • Noilhan, Camille ;
  • Latreille, Muriel ;
  • David, Jacques ;
  • Muller, Marie-Hélène ;
  • Muller, M.-H.
1 Citation0 Mentions81% FAIR0.6 Dataset Index
10.5061/dryad.17qs82012

Data from: Estimation of mating system parameters in an evolving gynodioecous population of cultivated sunflower (Helianthus annuus L.) (Version: 1)

Cultivated plants have been molded by human-induced selection, including manipulations of the mating system in the twentieth century. How these manipulations have affected realized parameters of the mating system in freely evolving cultivated populations is of interest for optimizing the management of breeding populations, predicting the fate of escaped populations and providing material for experimental evolution studies. To produce modern varieties of sunflower (Helianthus annuus L.), self-incompatibility has been broken, recurrent generations of selfing have been performed and male sterility has been introduced. Populations deriving from hybrid-F1 varieties are gynodioecious because of the segregation of a nuclear restorer of male fertility. Using both phenotypic and genotypic data at 11 microsatellite loci, we analyzed the consanguinity status of plants of the first three generations of such a population and estimated parameters related to the mating system. We showed that the resource reallocation to seed in male-sterile individuals was not significant, that inbreeding depression on seed production averaged 15–20% and that cultivated sunflower had acquired a mixed-mating system, with ~50% of selfing among the hermaphrodites. According to theoretical models, the female advantage and the inbreeding depression at the seed production stage were too low to allow the persistence of male sterility. We discuss our methods of parameter estimation and the potential of such study system in evolutionary biology.

Authors

  • Roumet, Marie ;
  • Ostrowski, Marie-France ;
  • David, Jacques ;
  • Tollon, Christine ;
  • Muller, Marie-Hélène ;
  • Ostrowski, M-F ;
  • Muller, M-H
1 Citation0 Mentions77% FAIR2.0 Dataset Index
10.5061/dryad.6t7792011