Filip Pietluch, Paweł Mackiewicz, Kacper Ludwig, Przemysław Gagat
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A New Model and Dating for the Evolution of Complex Plastids of Red Alga Origin.
Complex plastids, characterized by more than two bounding membranes, still present an evolutionary puzzle for the traditional endosymbiotic theory. Unlike primary plastids that directly evolved from cyanobacteria, complex plastids originated from green or red algae. The Chromalveolata hypothesis proposes a single red alga endosymbiosis that involved the ancestor of all the Chromalveolata lineages: cryptophytes, haptophytes, stramenopiles, and alveolates. As extensive phylogenetic analyses contradict the monophyly of Chromalveolata, serial plastid endosymbiosis models were proposed, suggesting a single secondary red alga endosymbiosis within Cryptophyta, followed by subsequent plastid transfers to other chromalveolates. Our findings based on 97 plastid-encoded markers, 112 species, and robust phylogenetic methods challenge all the existing models. They reveal two independent secondary endosymbioses, one within Cryptophyta and one within stramenopiles, precisely the phylum Ochrophyta, with two different groups of red algae. Consequently, we propose a new model for the emergence of red alga plastid-containing lineages and, through molecular clock analyses, estimate their ages.
期刊介绍:
About the journal
Genome Biology and Evolution (GBE) publishes leading original research at the interface between evolutionary biology and genomics. Papers considered for publication report novel evolutionary findings that concern natural genome diversity, population genomics, the structure, function, organisation and expression of genomes, comparative genomics, proteomics, and environmental genomic interactions. Major evolutionary insights from the fields of computational biology, structural biology, developmental biology, and cell biology are also considered, as are theoretical advances in the field of genome evolution. GBE’s scope embraces genome-wide evolutionary investigations at all taxonomic levels and for all forms of life — within populations or across domains. Its aims are to further the understanding of genomes in their evolutionary context and further the understanding of evolution from a genome-wide perspective.