Abstract Detail



Biology of Isoetales, a colloquium in honor of Dr. W. Carl Taylor

Larsén, Eva [1], Rydin, Catarina [2].

Phylogeny of Isoetes based on genome skimming data.

Isoetes is a genus of lycopods that have long held a fascination, among other reasons because their Paleozoic relatives within Isoetales included some of the first trees on earth. But the extant species of the genus are equally interesting. While there are about 200 species spread over almost the whole world, some widely distributed and some endemic to restricted areas, species often have high gross morphological similarity and are typically hard to tell apart for the uninitiated. In line with this, sequence divergence among species is also sparse, but recent work has improved knowledge on evolutionary relationships. Phylogenetically Isoetes displays intriguing geographical patterns; relationships within the five major clades often reveal a most recent shared ancestry between unexpected species, i.e., a close kinship between species that do not share the same or adjacent areas of distribution. Furthermore, despite the high morphological (and genetic) similarity between species, node ages are surprisingly old and there is well supported evidence for such ancient patterns as a Gondwana clade and a corresponding Laurasia clade among the five major clades. Our current research using the genome skimming method takes knowledge of evolutionary patterns in Isoetes yet another step forward. Among other things we assess level of phylogenetic conflict between results retrieved from the different genomic compartments and settle previous uncertainties such as the deepest splits in the genus. As ever with Isoetes, there are some surprising results.


1 - Stockholm University, Department Of Ecology, Environment And Plant Sciences, Stockholm, SE-10691, Sweden
2 - Stockholm University, Department Of Ecology, Environment And Plant Sciences, Stockholm, SE-106 91, Sweden

Keywords:
Isoetes
phylogeny
genome skimming.

Presentation Type: Colloquium Presentations
Number: 0006
Abstract ID:543
Candidate for Awards:None


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