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Phylogenomic Analysis Reconstructed the Order Matoniales from Paleopolyploidy Veil.

Jiang-Ping ShuHao WangHui ShenRui-Jiang WangQiang FuYong-Dong WangYuan-Nian JiaoYue-Hong Yan
Published in: Plants (Basel, Switzerland) (2022)
Phylogenetic conflicts limit our understanding of the evolution of terrestrial life under multiple whole genome duplication events, and the phylogeny of early terrestrial plants remains full of controversy. Although much incongruence has been solved with so-called robust topology based on single or lower copy genes, the evolutionary mechanisms behind phylogenetic conflicts such as polyploidization remain poorly understood. Here, through decreasing the effects of polyploidization and increasing the samples of species, which represent all four orders and eight families that comprise early leptosporangiate ferns, we have reconstructed a robust phylogenetic tree and network with 1125 1-to-1 orthologs based on both coalescent and concatenation methods. Our data consistently suggest that Matoniales, as a monophyletic lineage including Matoniaceae and Dipteridaceae, should be redefined as an ordinal rank. Furthermore, we have identified and located at least 11 whole-genome duplication events within the evolutionary history of four leptosporangiates lineages, and associated polyploidization with higher speciation rates and mass extinction events. We hypothesize that paleopolyploidization may have enabled leptosporangiate ferns to survive during mass extinction events at the end Permian period and then flourish throughout the Mesozoic era, which is supported by extensive fossil records. Our results highlight how ancient polyploidy can result in rapid species radiation, thus causing phylogenetic conflicts yet allowing plants to survive and thrive during mass extinction events.
Keyphrases
  • genome wide
  • machine learning
  • transcription factor
  • radiation induced
  • deep learning
  • sensitive detection
  • quantum dots