Noah Bourne, Nathanael Walker-Hale, Luke Dunning, Guillaume Chomicki
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引用次数: 0
Abstract
Plant domestication is sometimes associated with a reduction in the diversity of immune receptor genes (IRGs), critical for pathogen recognition and defence. Yet, the extent and evolutionary forces driving this pattern remain unclear. Using a comparative genomics framework, we analysed the IRG repertoires of 15 domesticated crop species and their wild relatives, representing nine plant families. We examined both cell-surface pattern recognition receptors (PRRs) and intracellular nucleotide-binding leucine-rich repeat receptors (NLRs). Our results show that five crops-grapes, mandarins, rice, barley and yellow sarson-exhibited significantly reduced IRG repertoires compared to their wild counterparts; however, the overall rate of IRG loss reflected the background rate of gene loss. Despite this, there is a positive association between domestication duration and IRG loss. Together these results suggest that domestication imposes a subtle, cumulative pressure, consistent with relaxed selection rather than a strong cost-of-resistance effect. This study provides insights into how domestication impacts plant immunity, with implications for future crop breeding strategies to enhance disease resistance.
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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.