Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 120, Issue 14, Pages -Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.2209637120
Keywords
mangrove forests; genetic differentiation; ocean currents; oceanographic connectivity; biophysical modelling
Categories
Ask authors/readers for more resources
Through biophysical modeling and network analysis, we demonstrate that oceanographic connectivity can explain the genetic differentiation of mangrove populations, regardless of species, region, or genetic marker (significant regression models in 95% of cases, with an average R-square of 0.44 +/- 0.23 and Person's correlation of 0.65 +/- 0.17), systematically improving traditional isolation-by-distance models. Important connectivity indices also play a crucial role in explaining differentiation (R-square improvement of 0.06 +/- 0.07, up to 0.42). We further show that ocean currents produce skewed dispersal kernels for mangroves, highlighting the role of rare long-distance dispersal events in historical settlements.
The distribution of mangrove intra-specific biodiversity can be structured by historical demographic processes that enhance or limit effective population sizes. Oceanographic connectivity (OC) may further structure intra-specific biodiversity by preserving or diluting the genetic signatures of historical changes. Despite its relevance for biogeography and evolution, the role of oceanographic connectivity in structuring the distribution of mangrove's genetic diversity has not been addressed at global scale. Here we ask whether connectivity mediated by ocean currents explains the intra-specific diversity of mangroves. A comprehensive dataset of population genetic differentiation was compiled from the literature. Multigenerational connectivity and population centrality indices were estimated with biophysical modeling coupled with network analyses. The variability explained in genetic differentiation was tested with competitive regression models built upon classical isolation-by-distance (IBD) models considering geographic distance. We show that oceanographic connectivity can explain the genetic differentiation of mangrove populations regardless of the species, region, and genetic marker (significant regression models in 95% of cases, with an average R-square of 0.44 +/- 0.23 and Person's correlation of 0.65 +/- 0.17), systematically improving IBD models. Centrality indices, providing information on important stepping-stone sites between biogeographic regions, were also important in explaining differentiation (R-square improvement of 0.06 +/- 0.07, up to 0.42). We further show that ocean currents produce skewed dispersal kernels for mangroves, highlighting the role of rare long-distance dispersal events responsible for histori- cal settlements. Overall, we demonstrate the role of oceanographic connectivity in structuring mangrove intra-specific diversity. Our findings are critical for mangroves' biogeography and evolution, but also for management strategies considering climate change and genetic biodiversity conservation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available