Structural Plastome Evolution in Holoparasitic Hydnoraceae with Special Focus on Inverted and Direct Repeats

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

Plastome condensation during adaptation to a heterotrophic lifestyle is generally well understood and lineage-independent models have been derived. However, understanding the evolutionary trajectories of comparatively old heterotrophic lineages that are on the cusp of a minimal plastome, is essential to complement and expand current knowledge. We study Hydnoraceae, one of the oldest and least investigated parasitic angiosperm lineages. Plastome comparative genomics, using seven out of eight known species of the genus Hydnora and three species of Prosopanche, reveal a high degree of structural similarity and shared gene content; contrasted by striking dissimilarities with respect to repeat content [inverted and direct repeats (DRs)]. We identified varying inverted repeat contents and positions, likely resulting from multiple, independent evolutionary events, and a DR gain in Prosopanche. Considering different evolutionary trajectories and based on a fully resolved and supported species-level phylogenetic hypothesis, we describe three possible, distinct models to explain the Hydnoraceae plastome states. For comparative purposes, we also report the first plastid genomes for the closely related autotrophic genera Lactoris (Lactoridaceae) and Thottea (Aristolochiaceae).

Details

Original languageEnglish
Article numberevac077
Number of pages13
JournalGenome biology and evolution
Volume14
Issue number6
Publication statusPublished - 31 May 2022
Peer-reviewedYes

External IDs

Scopus 85131702480
PubMed 35660863
Mendeley 05d0bc01-ea39-3284-8c3e-0021414aeabb
unpaywall 10.1093/gbe/evac077

Keywords

ASJC Scopus subject areas

Keywords

  • Hydnora, Prosopanche, holoparasite, heterotrophy, minimal plastome, structure, Repetitive Sequences, Nucleic Acid, Magnoliopsida, Phylogeny, Genome, Plastid, Evolution, Molecular

Library keywords