Login / Signup

Insight into early diversification of leucine-rich repeat receptor-like kinases provided by the sequenced moss and hornwort genomes.

Chihiro FurumizuShinichiro Sawa
Published in: Plant molecular biology (2021)
Identification of the subfamily X leucine-rich repeat receptor-like kinases in the recently sequenced moss and hornwort genomes points to their diversification into distinct groups during early evolution of land plants. Signal transduction mediated through receptor-ligand interactions plays key roles in controlling developmental and physiological processes of multicellular organisms, and plants employ diverse receptors in signaling. Leucine-rich repeat receptor-like kinases (LRR-RLKs) represent one of the largest receptor classes in plants and are structurally classified into subfamilies. LRR-RLKs of the subfamily X are unique in the variety of their signaling roles; they include receptors for steroid or peptide hormones as well as negative regulators of signaling through binding to other LRR-RLKs, raising a question as to how they diversified. However, our understanding of diversification processes of LRR-RLKs has been hindered by the paucity of genomic data in non-seed plants and limited taxa sampling in previous phylogenetic analyses. Here we analyzed the phylogeny of LRR-RLK X sequences collected from all major land plant lineages and show that this subfamily diversified into six major clades before the divergence between bryophytes and vascular plants. Notably, we have identified homologues of the brassinosteroid receptor, BRASSINOSTEROID INSENSITIVE 1 (BRI1), in the genomes of Sphagnum mosses, hornworts, and ferns, contrary to earlier reports that postulate the origin of BRI1-like LRR-RLKs in the seed plant lineage. The phylogenetic distribution of major clades illustrates that the current receptor repertoire was shaped through lineage-specific gene family expansion and independent gene losses, highlighting dynamic changes in the evolution of LRR-RLKs.
Keyphrases
  • transcription factor
  • gene expression
  • machine learning
  • copy number
  • multidrug resistant
  • gram negative
  • cell fate