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Rius, M.

Publications and source records attributed to Rius, M..

7 recordsLinked to original sources

Getting to the core of the matter: Assessing the role of replication in sedimentary DNA metabarcoding

Replication is central to most experimental and sampling designs, increasing inferential power and capturing fine-scale data heterogeneity. However, its importance remains poorly evaluated in some ecological and evolutionary settings. This is the case of metabarcoding studies using DNA recovered from sedimentary archives, in which biological signals may integrate ecological information through depositional and burial processes, and are often inferred from a single sediment core per site. Here, we evaluated the effect of different types of replication using sedimentary DNA (sedaDNA) metabarcoding data from two genetic markers (mitochondrial COI and nuclear 18S), under a nested sampling design. The design included three intertidal sites, three spatially separated sediment cores per site (biological replicates), two sediment depth horizons per core, and eight PCR (technical) replicates per sediment sample. Variance partitioning showed that site identity and sediment age group together explained >70% of the variation in beta diversity, indicating that among-site spatial variation and stratigraphic variation were the dominant drivers of community composition. In contrast, variation among different cores within sites was small and non-significant (<5%). Among PCR replicates from the same sediment sample, richness varied substantially, whereas Shannon diversity was more consistent. Despite this variability, differences in community composition among technical replicates remained smaller than among biological replicates and site identity, indicating limited influence on broader ecological patterns. Community composition was highly similar among replicate cores within sites, consistent with stratigraphic coherence. These results indicate limited within-site heterogeneity and suggest that, under stratigraphically coherent conditions, increasing biological replication may yield limited additional information, whereas enhancing technical replication and stratigraphic resolution can improve ecological inference from sedaDNA metabarcoding datasets.

ecology↗

From storms to warming seas: a long-term metabarcoding survey in port communities unveils high genetic diversity and ecological resilience of non-indigenous species

Ports are key gateways for the introduction and spread of non-indigenous species (NIS), yet the ecological and genetic temporal dynamics of these introductions remain poorly understood. Long term temporal monitoring is essential to unravel invasion processes, anticipate biodiversity shifts, and inform effective management and biosecurity strategies. In this study, we conducted a five-year (2019-2024) monthly metabarcoding survey in a northwestern Mediterranean port using artificial collectors. By sequencing a fragment of the Cytochrome Oxidase I gene, we identified 2,225 Molecular Operational Taxonomic Units (MOTUs), including 93 NIS. In addition, we examined both interspecific temporal patterns and intraspecific trends of genetic diversity over time. Although NIS accounted for only 4% of total species richness, they represented over 26% of total read abundance, underscoring their strong influence on community structure. Interestingly, NIS had a significantly more homogeneous species composition through time than native species. In 2020, the passage of the Gloria storm reshaped community dynamics, triggering a temporary rise in species richness and MOTU counts, likely due to an influx of native taxa and a gradual decline and increased NIS dominance. Genetic analyses revealed that NIS exhibited higher haplotypic diversity and lower genetic differentiation than native taxa, suggesting sustained gene flow, likely facilitated by maritime transport. MOTUs with longer temporal persistence, particularly among NIS, also showed greater intraspecific diversity, supporting the "insurance hypothesis" and highlighting the role of genetic variability in resilience and invasion success. Overall, our findings showed that NIS, despite their low species richness, maintain high abundances, connectivity, and genetic diversity over time. These attributes likely enhance the NIS ability to persist in dynamic and disturbed port environments, and provide key information for understanding the invasion process. This study highlights the need to integrate genetic diversity metrics into marine biomonitoring assessments and management.

molecular biology↗

The coloNISation: spatio-temporal metabarcoding surveys in ports reveal homogenised communities with high genetic diversity and connectivity of non-indigenous species

Large commercial ports facilitate the introduction of non-indigenous species (NIS), while smaller harbours and marinas contribute to their regional spread. Harbour networks are thus important drivers of introductions. Despite extensive research effort on NIS in recent years, no study has yet assessed genetic connectivity among harbours considering whole-community composition. Here, we analysed spatio-temporal patterns of metazoan communities over one year in four medium-size harbours along the NW Mediterranean coast sampled by deploying standardised biological collectors. Using cytochrome c oxidase subunit I (COI) metabarcoding, we identified 1,770 metazoan molecular operational taxonomic units (MOTUs), of which 82 were classified as NIS based on a custom database of Mediterranean NIS. Despite their lower species count compared to natives, NIS accounted for 34-70% of reads in harbours. The southernmost harbour had the highest NIS number of reads, likely due to its proximity to aquaculture facilities. While we observed some variation in the spatial structure of metazoan communities across harbours, NIS showed consistently low differentiation values, sharing significantly more MOTUs among sites. Seasonal patterns influenced both NIS and the rest of the community. Haplotype diversity was significantly higher in NIS, which also exhibited lower genetic differentiation across harbours compared to native species, indicating NIS spread via local boating and likely recurrent introductions. These findings highlight distinct dynamics between NIS and native species in artificial environments, emphasising the importance of continued monitoring in harbour networks to manage coastal NIS proliferation. HIGHLIGHTSCOI metabarcoding of standardised collectors detected over 1,700 MOTUs of marine metazoans in ports over a year. Less than 4% were NIS MOTUs, but they comprised 34-71 % of the reads. NIS were more homogeneously distributed among ports than other MOTUs. NIS showed higher genetic variability but lower genetic differentiation than native species. Different dynamics underpin NIS and native assemblages in port communities. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=77 SRC="FIGDIR/small/688838v1_ufig1.gif" ALT="Figure 1000"> View larger version (32K): org.highwire.dtl.DTLVardef@fa0a5corg.highwire.dtl.DTLVardef@1be29ccorg.highwire.dtl.DTLVardef@1aa4e85org.highwire.dtl.DTLVardef@91842_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

Fine-scale oceanographic processes shape marine biodiversity patterns in the Galapagos Islands

Uncovering the drivers that shape biodiversity patterns is critical to understand ecological and evolutionary dynamics. Despite evidence that biodiversity composition is influenced by processes at different spatial scales, little is known about the role of fine-scale oceanographic processes on the structure of marine communities. This is particularly important in biodiversity hotspot regions, where small changes in environmental conditions may lead to substantial changes in species composition. We combined ocean modelling and 12S environmental DNA (eDNA) metabarcoding, targeting teleost and elasmobranch species, to explore if oceanographic processes influenced biogeographic patterns around the biodiverse Galapagos Islands. We first detected significant differences in eDNA-measured community structure across the archipelagos diverse seascape. We found no significant relationship between Lagrangian particle tracking metrics and nektonic biodiversity, and thus developed a novel metric to measure the cumulative seawater flow resistance between pairs of geographic sites. This metric explained a significant proportion of variation in eDNA-measured beta dissimilarity between sites, comparable in influence to important abiotic drivers, such as temperature and geographic distance between sites. Cumulatively, our results indicate that marine communities are particularly sensitive to changes in local current systems, and suggest that fine-scale oceanographic processes may have an underappreciated role in structuring marine communities globally.

ecology↗

Managing human mediated range shifts: understanding spatial, temporal and genetic variation in marine non- native species

The use of molecular methods to manage natural resources is increasingly common. However, DNA-based methods are seldom used to understand the spatial and temporal dynamics of species range shifts. This is important when managing range-shifting species such as non-native species (NNS), which can have negative impacts on biotic communities. Here we investigated the range-shifting NNS Ciona robusta, Clavelina lepadiformis, Microcosmus squamiger and Styela plicata using a combined methodological approach. We first conducted non-molecular biodiversity surveys for these NSS along the South African coastline, and compared the results with historical surveys. We detected no consistent change in range size across species, with some displaying range stability and others showing range shifts. We then sequenced a section of cytochrome c oxidase subunit I (COI) from tissue samples and found genetic differences along the coastline but no change over recent times. Finally, we found that environmental DNA metabarcoding data showed broad congruence with both the non-molecular biodiversity and the COI datasets, but failed to capture complete incidence of all NSS. Overall, we demonstrated how a combined methodological approach can effectively detect spatial and temporal variation in genetic composition and range size, which is key for managing biodiversity changes of both threatened and NSS.

ecology↗

Consistent marine biogeographic boundaries across the tree of life despite centuries of human impacts

Over millennia, ecological and evolutionary mechanisms have shaped macroecological distributions across the tree of life. Research describing patterns of regional and global biogeography has traditionally focussed on the study of conspicuous species. Consequently, there is limited understanding of cross-phyla biogeographic structuring, and an escalating need to understand the macroecology of both microscopic and macroscopic organisms. Here we used environmental DNA (eDNA) metabarcoding to explore the biodiversity of marine metazoans, micro-eukaryotes and prokaryotes along an extensive and highly heterogeneous coastline. Our results showed remarkably consistent biogeographic structure across the kingdoms of life, which were underpinned by environmental and anthropogenic influence. Additionally, metazoan communities displayed biographic patterns that suggest regional biotic homogenisation of conspicuous species. Against the backdrop of global pervasive anthropogenic environmental change, our work highlights the importance of considering multiple domains of life to understand the maintenance and drivers of marine biodiversity across broad taxonomic, ecological and geographical scales.

ecology↗

The detection of novel and resident marine non-indigenous species using environmental DNA metabarcoding of seawater and sediment

Environmental DNA (eDNA) surveys are increasingly being used for biodiversity monitoring, principally because they are sensitive and can provide high resolution community composition data. Despite considerable progress in recent years, eDNA studies examining how different environmental sample types can affect species detectability remain rare. Comparisons of environmental samples are especially important for providing best practice guidance on early detection and subsequent mitigation of non-indigenous species. Here we used eDNA metabarcoding of COI (cytochrome c oxidase subunit I) and 18S (nuclear small subunit ribosomal DNA) genes to compare community composition between sediment and water samples in artificial coastal sites across the United Kingdom. We first detected markedly different communities and a consistently greater number of distinct operational taxonomic units in sediment compared to water. We then compared our eDNA datasets with previously published rapid assessment biodiversity surveys and found excellent concordance among the different survey techniques. Finally, our eDNA surveys detected many non-indigenous species, including several newly introduced species, highlighting the utility of eDNA metabarcoding for both early detection and temporal / spatial monitoring of non-indigenous species. We conclude that careful consideration on environmental sample type is needed when conducting eDNA surveys, especially for studies assessing community change.

molecular biology↗