Genogeographic clustering to identify cross‐species concordance of spatial genetic patterns

Arranz, Vanessa; Fewster, Rachel M.; Lavery, Shane

doi:10.1111/ddi.13474

Cited by 8 publications

(8 citation statements)

References 73 publications

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“…Haye et al, 2014; Kelly & Palumbi, 2010). Alternatively, meta‐analyses of published data can be used to make inferences (Arranz et al, 2022; Dawson, 2014; Pascual et al, 2017). Metaphylogeography is a new way to study population genetic differentiation for the whole community using metabarcoding data.…”

Section: Discussionmentioning

confidence: 99%

Metabarcoding reveals high‐resolution biogeographical and metaphylogeographical patterns through marine barriers

Antich

Palacín

Zarcero

et al. 2022

Journal of Biogeography

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Aim: It has been predicted that there should be concordance between biogeographical and phylogeographical processes structuring multi-species regional assemblages.We hypothesise that oceanographic barriers in the marine environment affect concomitantly the distribution and the connectivity of the marine biota, thus producing congruent biogeographical and phylogeographical structures. We also predict that macro-and meio-eukaryotes will be differentially affected by hydrological features. Location:The Atlanto-Mediterranean transition along the E Iberian coast marked by the Almeria-Oran Front (AOF) and the Ibiza Channel hydrological discontinuities. Taxon: Eukaryotes.Methods: A new analytical framework based in the metabarcoding of community DNA and a hypervariable marker is presented. This framework allows the simultaneous detection of multispecies biogeographical and phylogeographical structures.Shallow hard-bottom communities were sampled at 12 sites over the littoral zone and community-DNA metabarcoding was performed using the cytochrome c oxidase I marker. The resulting dataset was analysed at several levels: beta diversity of Molecular Operational Taxonomic Units (MOTUs) as surrogate for species, and Exact Sequence Variants as surrogate for haplotypes. We also assessed genetic differentiation within MOTUs (metaphylogeography). Analyses were performed for the combined dataset and separately for macro-and meio-eukaryotes.Results: Both hydrological discontinuities had a detectable effect, more marked at all levels for the AOF than for the Ibiza Channel. The MOTU dataset provided more clear-cut patterns than the ESVs. The metaphylogeographical approach provided the highest resolution in terms of differentiating localities and identifying geographical barriers. The separate analyses of macro-and meio-eukaryotes showed a higher differentiation of the latter, both in terms of beta diversity and genetic differentiation.Main Conclusions: Metabarcoding coupled with metaphylogeography allowed the characterisation of the heterogeneity in community composition and population genetic structure along the Atlanto-Mediterranean transition, coherent with known

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Section: Discussionmentioning

confidence: 99%

Metabarcoding reveals high‐resolution biogeographical and metaphylogeographical patterns through marine barriers

Antich

Palacín

Zarcero

et al. 2022

Journal of Biogeography

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“…Furthermore, these investigations are confined spatially and temporally 4,25,37 , with distinct patterns emerging in different seasons (e.g., April vs. October), with many studies concentrating on relatively narrow intervals. Specifically, the most restricted range was approximately ~4°C 25,36,37 followed by ~10 degrees 4,28 , and the widest being ~15°C 27 .…”

Section: Discussionmentioning

confidence: 97%

Size spectra in freshwater streams are consistent across temperature and resource supply

Gjoni,

Pomeranz,

Junker

et al. 2024

Preprint

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The study explores the individual size distribution (ISD) pattern in ecological communities, characterized by a negative correlation between individual body size and abundance (N ~ Mλ). The parameter λ denotes the rate of decline in relative abundance from small to large individuals. Despite known influences of temperature and resource availability on body size, their effects on λ remain diverse. Leveraging data from 2.4 million individual body sizes in continental freshwater streams, the research the hypothesis that λ varies as a function of temperature and resource supply. Surprisingly, despite varied environmental conditions and complete species turnover, minimal variation in λ (mean = -1.2, sd = 0.04) was observed, with no discernible impact from temperature or resource supply. The unexpected λ value of -1.2 suggests a higher-than-expected relative abundance of large individuals, challenging assumptions of metabolic scaling at 0.75 and implying large subsidy inputs to large predators. Simulation and mesocosm experiments support a metabolic scaling coefficient of ~0.4 for freshwater macroinvertebrates. The findings underscore remarkable consistency of individual size distributions in freshwater streams, likely driven by shallow metabolic scaling and large subsidies to large consumers.

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“…To assess the extent to which patterns of connectivity were either shared or unique among the five species, we used a 'genogeographic' clustering method (Arranz et al 2022) to capture relationships between genetic variation and geographic distance along the South Australian coastline for each species. Linearised coastline distances represented the shortest route between a starting point (here, the westernmost locality Nuyts Archipelago Penong), and all other sampling localities while following the coastline.…”

Section: Spatial Analyses Of Connectivity Across and Within The Marin...mentioning

confidence: 99%

Connecting the dots: applying multispecies connectivity in marine park network planning

Gates,

Sandoval-Castillo,

Barceló

et al. 2023

Preprint

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Marine ecosystems are highly dynamic, and their connectivity is affected by a complex range of biological, spatial, and oceanographic factors. Incorporating connectivity as a factor in the planning and management of marine protected areas (MPAs) is important yet challenging. Here, we used intraspecific genetic and genomic data for five marine species with varying life histories to characterise connectivity across a recently established South Australian MPA network. We generated connectivity networks, estimated cross-species concordance of connectivity patterns, and tested the impact of key spatial and oceanographic factors on each species. Connectivity patterns varied markedly among species, but were most correlated among those with similar dispersal strategies. Ordination analyses revealed significant associations with both waterway distances and oceanographic advection models. Notably, waterway distances provided better predictive power in all-species combined analyses. We extended the practical relevance of our findings by employing spatial prioritisation with Marxan, using node values derived from both genetic and geographic connectivity networks. This allowed the identification of several priority areas for conservation, and substantiated the initial decision to employ spatial distance as a proxy for biological connectivity for the design of the South Australian marine park network. Our study establishes a baseline for connectivity monitoring in South Australian MPAs, and provides guidelines for adapting this framework to other protected networks with intraspecies genetic data.

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Genogeographic clustering to identify cross‐species concordance of spatial genetic patterns

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 8 publications

References 73 publications

Metabarcoding reveals high‐resolution biogeographical and metaphylogeographical patterns through marine barriers

Metabarcoding reveals high‐resolution biogeographical and metaphylogeographical patterns through marine barriers

Size spectra in freshwater streams are consistent across temperature and resource supply

Connecting the dots: applying multispecies connectivity in marine park network planning

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