bioRxivGenomicsPreprint
Sequencing a botanical monument: a chromosome-level assembly of the 400-year-old Goethe's Palm (Chamaerops humilis L.) at the Botanical Garden of the University of Padua (Italy)
Núria Beltrán‐SanziD, Stefan ProstiD, Veronica MalavasiiD, Silvia MoschiniD, Carola GreveiD, Tilman SchelliD, Tomas MorosinottoiD, Francesco Dal GrandeiD
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Abstract
The rapid decline in global biodiversity highlights the urgent need for conservation efforts, with botanical gardens playing a crucial role in ex situ plant preservation. Monumental plants, such as the 400-year-old Goethes Palm (Chamaerops humilis L.) at the UNESCO Botanical Garden of the University of Padua (Italy), serve as vital flagship species with significant ecological and cultural value. In this study, we present the first high-quality, chromosome-level genome assembly of C. humilis, using PacBio HiFi and Arima Hi-C sequencing technologies. This genome is the most contiguous and complete within the Arecaceae family to date, with an exceptionally high repeat content of 88%, of which 63% is attributed to Long Terminal Repeat (LTR) elements. Comparative analysis of the transposable element (TE) landscape in palms suggests that the LTR expansion in C. humilis is likely the result of recent TE bursts. Furthermore, we provide the first comprehensive annotation of microRNAs (miRNAs) in the Arecaceae family, identifying, for the first time in palms, the miRNA family miR827, which plays a key role in nutrient regulation. Microsatellite analysis suggests that it probably belongs to the Western genetic lineage of C. humilis. These findings represent a significant advancement in the conservation genomics of this species, laying the groundwork for enhanced preservation strategies, with botanical gardens as pivotal actors in the fight to safeguard global biodiversity.
- organism: plant (other)
- assay: whole-genome sequencing
- research focus: genome assembly
- research focus: gene regulatory network inference
- research focus: database / resource
- approach: statistical model
- approach: experimental assay
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