Publications by authors named "Nina M J Davies"

Article Synopsis
  • Angiosperms are vital for ecosystems and human life, making it important to understand their evolutionary history to grasp their ecological dominance.
  • The study builds an extensive tree of life for about 8,000 angiosperm genera using 353 nuclear genes, significantly increasing the sampling size and refining earlier classifications.
  • The findings reveal a complex evolutionary history marked by high gene tree conflict and rapid diversification, particularly during the early angiosperm evolution, with shifts in diversification rates linked to global temperature changes.
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The angiosperm family Primulaceae is morphologically diverse and distributed nearly worldwide. However, phylogenetic uncertainty has obstructed the identification of major morphological and biogeographic transitions within the clade. We used target capture sequencing with the Angiosperms353 probes, taxon-sampling encompassing nearly all genera of the family, tree-based sequence curation, and multiple phylogenetic approaches to investigate the major clades of Primulaceae and their relationship to other Ericales.

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The coffee berry borer () is the most damaging insect pest of global coffee production. Despite its importance, our knowledge on the insect's natural habitat, range, and wild host species remains poorly known. Using archival sources (mainly herbaria but also other museum collections), we surveyed 18,667 predominantly wild-collected herbarium specimens mostly from Africa, Madagascar, and Asia for coffee berry borer occurrence.

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The world's herbaria collectively house millions of diverse plant specimens, including endangered or extinct species and type specimens. Unlocking genetic data from the typically highly degraded DNA obtained from herbarium specimens was difficult until the arrival of high-throughput sequencing approaches, which can be applied to low quantities of severely fragmented DNA. Target enrichment involves using short molecular probes that hybridise and capture genomic regions of interest for high-throughput sequencing.

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