From 001ecc545b38685e89ae451ab516ec0b4bbc4606 Mon Sep 17 00:00:00 2001 From: Erik van Sebille Date: Mon, 21 Jul 2025 08:05:37 +0200 Subject: [PATCH] Adding Lush paper --- src/data/papers-citing-parcels.ts | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/src/data/papers-citing-parcels.ts b/src/data/papers-citing-parcels.ts index 65c78c9..a728271 100644 --- a/src/data/papers-citing-parcels.ts +++ b/src/data/papers-citing-parcels.ts @@ -2406,4 +2406,13 @@ export const papersCitingParcels: Paper[] = [ abstract: 'Geodia hentscheli, a species forming sponge grounds in the North Atlantic and Arctic Oceans, is a common deep-sea organism, that plays a fundamental role in forming biogenic habitats. However, there is little information about gene flow and adaptation patterns of this species, which is crucial to develop effective management/conservation plans under current global change scenarios. Here, we generated ddRADseq data from 110 specimens of G. hentscheli, together with microbial profiling, transcriptomics, and metatranscriptomics for a selection of specimens to investigate their genetic diversity, molecular connectivity, and local adaptations. Sampling covered the species entire distribution within a wide bathymetric range. We obtained 1,115 neutral SNPs and identified long-distance genetic connectivity among regions separated 1,000s of km, but strong genetic structure segregating populations by depth at ca. 1,300 m, in line with our microbial analyses. Coalescent analyses inferred the split of these depth-related genetic entities ∼10 KYA, coincident with the last postglacial maximum. Analyses of SNPs under selection, combined with transcriptomic and metatranscriptomic data highlight the presence of several sponge genes and microbial metabolic pathways involved in adaptation to depth, including heat shock proteins and fatty acids, among others. The physiological plasticity of the sponge and its microbiome as a function of depth suggest the existence of a host-microbiome metabolic compensation for G. hentscheli. This study provides a multiscale paradigmatic example of the depth-differentiation hypothesis, a phenomenon mainly caused by changes in environmental conditions at different depths, mainly related to the presence of water masses with different characteristics that drive local adaptations.', }, + { + title: + 'Drifting Along: A Global Validation of Climatologies of Numerical Dispersal Over the Continental Shelf Using Trajectories From the Global Drifter Program', + published_info: 'Journal of Geophysical Research: Biogeosciences, in press', + authors: 'Lush, WG, JM Pringle (2025)', + doi: 'https://doi.org/10.1029/2024JG008708', + abstract: + 'The distance over which planktonic larvae are dispersed and the variability within that dispersal distance are important for understanding gene flow and species persistence in the coastal ocean. The breadth of spatial and temporal scales that are important to dispersal in shelf seas makes direct observations difficult—instead, we often use numerical simulations of circulation to estimate the statistics of larval dispersal. However, meroplanktonic life histories are most common in coastal regions where drifter-based estimates of circulation are sparsely distributed, making validation of these numerical simulations quite difficult. We use a novel technique to validate climatological mean and standard deviation of dispersal distance at a global scale by drawing on the tens of thousands of sparsely distributed drifter observations on the shelf. Numerical dispersal estimates were made using Lagrangian particle trajectories calculated with circulation fields from a 1/12° global physical model and were validated against data from the Global Drifter Program (GDP), an international program that observes ocean circulation using drifters. The median dispersal distance of a climatological ensemble of numerical drifters released from a single location were found to match GDP drifter estimates quite well (with a mean deviation of 0.2%), whereas model estimates of dispersal were shown to underestimate the diffusivity of GDP drifters by 30%–50%. Our results indicate that although global numerical estimates of dispersal statistics provide a close approximation of median dispersal distance in the coastal ocean, these numerical simulations underestimate the overall variation in dispersal distance of drifters in the coastal ocean.', + }, ]