Transposable element 'timestamps' reveal strawberry's complex polyploid origins

A new method using genetic traces left by transposable elements has reconstructed the evolutionary history of the cultivated strawberry genome, revealing multiple ancient polyploidisation events.

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Researchers have developed a technique for dating and ordering the genome-merging events that gave rise to complex polyploid plant species, using the insertion patterns of transposable elements as molecular timestamps. Applied to the cultivated strawberry (*Fragaria × ananassa*), the approach revealed that the modern genome was assembled through a series of ancient hybridisation and whole-genome duplication events rather than a single ancestral merger — shedding new light on how one of the world's most commercially important berry crops came to carry its characteristic eight-copy (octoploid) genome.

Transposable elements — repetitive DNA sequences sometimes called 'jumping genes' — insert themselves at different points in evolutionary time and can be grouped into families with characteristic activity windows. By analysing when different element families were active relative to genome-duplication signatures, the team reconstructed a timeline that conventional phylogenomic methods struggle to resolve in highly repetitive polyploid genomes.

The work, reported by ScienceDaily from the underlying research group, adds a new tool to comparative plant genomics and has potential applications across other major polyploid crops including wheat, oilseed rape, and cotton. No institution or journal was named in the available feed text; readers should consult the primary publication for author and institutional detail.

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  1. Primary source ScienceDaily · 2026-06-19
    DNA time stamps reveal the strawberry's surprising origins

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plant-genetics polyploidy transposable-elements strawberry comparative-genomics evolutionary-genomics crop-genomics
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Educational summaries of public genetics news

Genetic Current is the news section of Evagene, an academic, research, and educational pedigree-modelling platform. Stories are AI-drafted summaries of items from trusted public sources, written for researchers, clinicians, educators, students, genealogists, and patients with an interest in genetics. Summaries are for educational and research purposes only and are not medical advice.

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