Automated Author Profile

Klein, Etienne K.

Biostatistique et Processus Spatiaux

Current S-Index

6.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.3

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

76.9%

Average FAIR Score per dataset

Total Citations

4

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: Fine-scale environmental control of hybridization in oaks (Version: 1)

Natural hybridization is attracting much interest in modern speciation and conservation biology studies, but the underlying mechanisms remain poorly understood. In particular, it is unclear why environmental changes often increase hybridization rates. To study this question, we surveyed mating events in a mixed oak stand and developed a spatially-explicit individual-based hybridization model. This model, where hybridization is frequency dependent, pollen is non-limiting and which allows immigrant pollen to compete with local pollen, takes into account species-specific pollen dispersal and sexual barriers to hybridization. The consequences of pollen limitation on hybridization were studied using another simple model. The results indicate that environmental changes could increase hybridization rates through two distinct mechanisms. First, by disrupting the spatial organisation of communities, they should decrease the proportion of conspecific pollen available for mating, thus increasing hybridization rates. Second, by decreasing the density of conspecifics, they should increase pollen limitation and thus hybridization rates, as a consequence of chance pollination predominating over deterministic pollen competition. Altogether, our results point to a need for considering hybridization events at the appropriate level of organisation and provide new insights into why hybridization rates generally increase in disturbed environments.

Authors

  • Lagache, Lélia ;
  • Klein, Etienne K. ;
  • Guichoux, Erwan ;
  • Petit, Rémy J.
2 Citations0 Mentions77% FAIR2.5 Dataset Index
10.5061/dryad.n50b4October 2012

Data from: Reconstruction of a beech population bottleneck using archival demographic information and Bayesian analysis of genetic data (Version: 1)

Range expansion and contraction has occurred in the history of most species and can seriously impact patterns of genetic diversity. Historical data about range change are rare and generally appropriate for studies at large scales, whereas the individual pollen and seed dispersal events that form the basis of geneflow and colonization generally occur at a local scale. In this study we investigated range change in Fagus sylvatica on Mont Ventoux, France, using historical data from 1838 to the present and Approximate Bayesian Computation (ABC) analyses of genetic data. From the historical data we identified a population minimum in 1845 and located remnant populations at least 200 years old. The ABC analysis selected a demographic scenario with three populations, corresponding to two remnant populations and one area of recent expansion. It also identified expansion from a smaller ancestral population but did not find that this expansion followed a population bottleneck, as suggested by the historical data. Despite a strong support to the selected scenario for our dataset, the ABC approach showed a low power to discriminate among scenarios on average and a low ability to accurately estimate effective population sizes and divergence dates, probably due to the temporal scale of the study. This study provides an unusual opportunity to test ABC analysis in a system with a well documented demographic history and identify discrepancies between the results of historical, classical population genetic and ABC analyses. The results also provide valuable insights into genetic processes at work at a fine spatial and temporal scale in range change and colonization.

Authors

  • Lander, Tonya A. ;
  • Oddou-Muratorio, Sylvie ;
  • Prouillet-Leplat, Hélène ;
  • Klein, Etienne K.
1 Citation0 Mentions77% FAIR2.2 Dataset Index
10.5061/dryad.q98202jkOctober 2011

Data from: Microevolution of S-allele frequencies in wild cherry populations: respective impacts of negative frequency dependent selection and genetic drift (Version: 1)

Negative frequency dependent selection (NFDS) is supposed to be the main force controlling allele evolution at the gametophytic self-incompatibility locus (S-locus) in strictly outcrossing species. Genetic drift also influences S-allele evolution. In perennial sessile organisms, evolution of allelic frequencies over two generations is mainly shaped by individual fecundities and spatial processes. Using wild cherry populations between two successive generations, we tested whether S-alleles evolved following NFDS qualitative and quantitative predictions. We showed that allelic variation was negatively correlated with parental allelic frequency as expected under NFDS. However, NFDS predictions in finite population failed to predict more than half all S-allele quantitative evolution. We developed a spatially-explicit mating model which included the S-locus. We studied the effects of self-incompatibility and local drift within populations due to pollen dispersal in spatially distributed individuals, and variation in male fecundity on male mating success and allelic frequency evolution. Male mating success was negatively related to male allelic frequency as expected under NFDS. Spatial genetic structure combined with self-incompatibility resulted in higher effective pollen dispersal. Limited pollen dispersal in structured distributions of individuals and genotypes, non-random distribution of individuals and unequal pollen production significantly contributed to S-allele frequency evolution by creating local drift effects strong enough to counteract the NFDS effect on some alleles.

Authors

  • Stoeckel, Solenn ;
  • Klein, Etienne K. ;
  • Oddou-Muratorio, Sylvie ;
  • Musch, Brigitte ;
  • Mariette, Stéphanie
1 Citation0 Mentions77% FAIR2.2 Dataset Index
10.5061/dryad.pk7v8July 2011