Pollination mode and mating system explain patterns in genetic differentiation in neotropical plants
Nenhuma Miniatura disponível
Data
2016-07
Título da Revista
ISSN da Revista
Título de Volume
Editor
Resumo
We studied genetic diversity and differentiation patterns in Neotropical plants to address
effects of life history traits (LHT) and ecological attributes based on an exhaustive literature
survey. We used generalized linear mixed models (GLMMs) to test the effects as fixed and
random factors of growth form, pollination and dispersal modes, mating and breeding systems,
geographical range and habitat on patterns of genetic diversity (HS, HeS, π and h),
inbreeding coefficient (FIS), allelic richness (AR) and differentiation among populations (FST)
for both nuclear and chloroplast genomes. In addition, we used phylogenetic generalized
least squares (pGLS) to account for phylogenetic independence on predictor variables and
verify the robustness of the results from significant GLMMs. In general, GLMM revealed
more significant relationships among LHTs and genetic patterns than pGLS. After accounting
for phylogenetic independence (i.e., using pGLS), FST for nuclear microsatellites was
significantly related to pollination mode, mating system and habitat. Plants specifically with
outcrossing mating system had lower FST. Moreover, AR was significantly related to pollination
mode and geographical range and HeS for nuclear dominant markers was significantly
related to habitat. Our findings showed that different results might be retrieved when phylogenetic
non-independence is taken into account and that LHTs and ecological attributes
affect substantially the genetic pattern in Neotropical plants, hence may drive key evolutionary
processes in plants.
Descrição
Palavras-chave
Citação
BALLESTEROS-MEJIA, Liliana; Natácia E.; LIMA-RIBEIRO, Matheus S.; COLLEVATTI, Rosane G. Pollination mode and mating system explain patterns in genetic differentiation in neotropical plants. Plos One, San Francisco, v. 11, n. 7, e0158660, July 2016. DOI: 10.1371/journal.pone.0158660. ECollection 2016. Disponível em: https://pubmed.ncbi.nlm.nih.gov/27472384/. Acesso em: 22 mar. 2023.