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Software . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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Data from: The genomic basis of adaptive leaf variation in the Galápagos giant daisies

Authors: Bieker, Vanessa; Li, Siyu; Cerca, José; Battlay, Paul; Falahati Anbaran, Mohsen; Sharma, Amit; Jaramillo Díaz, Patricia; +15 Authors

Data from: The genomic basis of adaptive leaf variation in the Galápagos giant daisies

Abstract

Scalesia (Asteraceae) is the largest endemic plant genus of the Galápagos archipelago and an example of adaptive radiation. While Scalesia species are highly varied in habit and morphology, most remarkable is their variety of leaf shapes, especially in the differential presence of leaf lobing/serration, a derived trait that evolved multiple times as a likely adaptation to the islands' hot and dry equatorial climate. Using population-level genomic data from 396 individuals representing all 15 recognized Scalesia species, we characterize this young radiation (around 1 million years ago), and reveal that their substantial morphological divergence and ecological specialization are primarily based on shared genetic variation. To further elucidate the repeated adaptive evolution of leaf lobing in Scalesia, we integrate genomic and leaf morphometric data, with transcriptomes from different developmental stages, and conclude that leaf lobing evolved through diversifying selection. Natural selection occurs independently on different regulators in the pathway controlling the development of adaxial-abaxial leaf polarity, highlighting the importance of the founder populations' high genetic diversity maintained via allopolyploidy. Finally, our findings have implications for the conservation of Scalesia's threatened biodiversity, as unexpectedly high intra-specific genetic structure and long-term isolation among populations indicate widespread nascent speciation. This dataset contains files associated with the article. Specifically, it contains code and scripts used to analyse the data, the source data files for the main text and supplementary figures, and the Cytoscape file used for the transcriptomics analysis in the article. It also contains example input and output files to calculate dxy and genome-wide Tajima's D.

Funding provided by: Norwegian Research CouncilCrossref Funder Registry ID: Award Number: 287327

Keywords

Population genetics, Genomics, Transcriptome analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Italian National Biodiversity Future Center