Publications by authors named "Jude Keyse"

The discovery of multi-species synchronous spawning of scleractinian corals on the Great Barrier Reef in the 1980s stimulated an extraordinary effort to document spawning times in other parts of the globe. Unfortunately, most of these data remain unpublished which limits our understanding of regional and global reproductive patterns. The Coral Spawning Database (CSD) collates much of these disparate data into a single place.

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Genetic diversity within species may promote resilience to environmental change, yet little is known about how such variation is distributed at broad geographic scales. Here we develop a novel Bayesian methodology to analyse multi-species genetic diversity data in order to identify regions of high or low genetic diversity. We apply this method to co-distributed taxa from Australian marine waters.

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Article Synopsis
  • Genetic data generation is increasing rapidly, leading to policies for public data archiving to promote reproducibility and enable future research uses.
  • Molecular Ecology adopted a mandatory public data archiving policy in 2011, which significantly increased the archiving of genetic data from 49% to 98% post-implementation.
  • Despite this success, 31% of archived data sets lacked sufficient information to reproduce analyses, primarily due to incomplete data and inadequate metadata, such as missing geographic coordinates and sampling dates, which are crucial for the usability of genetic data.
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Giant clams (genus Tridacna) are iconic coral reef animals of the Indian and Pacific Oceans, easily recognizable by their massive shells and vibrantly colored mantle tissue. Most Tridacna species are listed by CITES and the IUCN Redlist, as their populations have been extensively harvested and depleted in many regions. Here, we survey Tridacna crocea and Tridacna maxima from the eastern Indian and western Pacific Oceans for mitochondrial (COI and 16S) and nuclear (ITS) sequence variation and consolidate these data with previous published results using phylogenetic analyses.

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