Genetic patterns in Neotropical Magnolias (Magnoliaceae) using de novo developed microsatellite markers.
Emily VeltjenPieter AsselmanMajela Hernández RodríguezAlejandro Palmarola BejeranoErnesto Testé LozanoLuis Roberto González TorresPaul GoetghebeurIsabel LarridonMarie-Stéphanie SamainPublished in: Heredity (2018)
Conserving tree populations safeguards forests since they represent key elements of the ecosystem. The genetic characteristics underlying the evolutionary success of the tree growth form: high genetic diversity, extensive gene flow and strong species integrity, contribute to their survival in terms of adaptability. However, different biological and landscape contexts challenge these characteristics. This study employs 63 de novo developed microsatellite or SSR (Single Sequence Repeat) markers in different datasets of nine Neotropical Magnolia species. The genetic patterns of these protogynous, insect-pollinated tree species occurring in fragmented, highly-disturbed landscapes were investigated. Datasets containing a total of 340 individuals were tested for their genetic structure and degree of inbreeding. Analyses for genetic structure depicted structuring between species, i.e. strong species integrity. Within the species, all but one population pair were considered moderate to highly differentiated, i.e. no indication of extensive gene flow between populations. No overall correlation was observed between genetic and geographic distance of the pairwise species' populations. In contrast to the pronounced genetic structure, there was no evidence of inbreeding within the populations, suggesting mechanisms favouring cross pollination and/or selection for more genetically diverse, heterozygous offspring. In conclusion, the data illustrate that the Neotropical Magnolias in the context of a fragmented landscape still have ample gene flow within populations, yet little gene flow between populations.
Keyphrases
- genetic diversity
- genome wide
- copy number
- dna methylation
- climate change
- type diabetes
- squamous cell carcinoma
- gene expression
- adipose tissue
- genome wide identification
- radiation therapy
- early onset
- high fat diet
- transcription factor
- machine learning
- big data
- neoadjuvant chemotherapy
- genome wide analysis
- human health