Biology subjects

Lavrador, A. S.

Publications and source records attributed to Lavrador, A. S..

3 recordsLinked to original sources

bioRxiv2025

Ports of Entry: Tracking Marine Invaders in Portuguese Mari-nas with DNA Metabarcoding from Coast to Archipelagos

Marine non-indigenous species (NIS), introduced primarily through shipping in marinas and ports, pose significant threats to coastal biodiversity and ecosystem functioning, requiring effective management strategies, especially for monitoring aimed at early detection. This study aimed to capture a comprehensive snapshot of the geographic variation of marine invertebrate assemblages and NIS occurrence, across 10 recreational marinas in Portugal (6 on the mainland - Viana do Castelo, Porto, Aveiro (2 marinas), and Lisbon (2 marinas) - and 2 in each archipelago, Madeira and the Azores). In each marina, hard substrates, zooplankton, and water samples (for eDNA) were collected in triplicate during summertime for metabarcoding profiling, adding up to a total of 111 samples. Using Illumina MiSeq sequencing of the mitochondrial cytochrome c oxidase subunit I (COI) gene (313 bp) and the V4 region of the small subunit 18S rRNA gene (18S, approximately 400 bp), we detected 645 species from 21 phyla, 40 of which were NIS (7 phyla). Only 5% of the species and 5% of NIS were detected in all marinas. The highest numbers of both exclusive native species and NIS were recorded in the Azores (100 and 7, respectively), and the lowest numbers of exclusive native species were recovered in Aveiro (39) while the lowest numbers of exclusive NIS were detected in the North and Aveiro regions (1 in each). A Principal Coordinate Analysis indicated a distinct separation among communities forming three main groups: 1) Viana do Castelo, Porto, and Aveiro; 2) Lisbon; and 3) Madeira and the Azores. Similarity between these groups is negatively correlated with geographic distance and overlaps with ecoregions previously identified within Lusitania. In the Azores 9 NIS were recorded for the first time, and one in Madeira. We also recorded a considerable number of potential range expansions of NIS, predominantly along the mainland coast, in both North (N) - South (S) or S-N directions, which shows promising results of the high potential of DNA metabarcoding to be included in future national marine biomonitoring campaigns.

ecology↗

bioRxiv2024

DNA metabarcoding-based detection of non-indigenous invertebrates in recreational marinas: influence of sample type and seasonal variation

Monitoring of marine invertebrate non-indigenous species (NIS) using DNA metabarcoding can be strongly affected by selected sample type due to life history traits, such as habitat preferences and life cycles. Two marinas in the north of Portugal were sampled to assess the impact of sample type (hard and artificial substrates, water eDNA, and zooplankton) and season (spring, autumn, winter) on species and NIS recovery. Using two molecular markers - the mitochondrial cytochrome c oxidase subunit I (COI) and the small subunit ribosomal RNA (18S) - a total of 636 species and 31 NIS were detected. Species numbers were slightly higher in the marina more exposed to maritime traffic, and the highest percentage of exclusive species was detected in zooplankton (up to 24%), as well as the highest numbers of NIS. Regarding season, the highest numbers of species and NIS were detected in the spring and autumn (varying within each marina). Taxonomic composition analysis revealed differences in species richness and community structure among seasons and sample types, particularly between hard and artificial substrates versus eDNA and zooplankton. Of the 31 NIS detected, six are potential first records for Portugal, which await morphology-based validation. No NIS were detected in all sample types nor in all sampled seasons. This highlights the need to employ different sampling approaches and markers, as well as consider seasonal variation and level of exposure to maritime-driven introductions to guarantee a comprehensive metabarcoding-based surveillance of NIS in recreational marinas.

ecology↗

bioRxiv2020

Status and prospects of marine NIS detection and monitoring through (e)DNA metabarcoding

In coastal ecosystems, non-indigenous species (NIS) are recognized as a major threat to biodiversity, ecosystem functioning and socio-economic activities. Here we present a systematic review on the use of metabarcoding for NIS surveillance in marine and coastal ecosystems, through the analysis of 42 publications. Metabarcoding has been mainly applied to environmental DNA (eDNA) from water samples, but also to DNA extracted from bulk organismal samples. DNA extraction kits have been widely used and the 18S rRNA and the COI genes the most employed markers, but less than half of the studies targeted more than one marker loci. The Illumina MiSeq platform has been used in >50% of the publications. Current weaknesses include potential occurrence of false negatives due to the primer-biased or faulty DNA amplification and the incompleteness of reference libraries. This is particularly concerning in the case of NIS surveillance, where proficiency in species level detection is critical. Until these weaknesses are resolved, ideally NIS metabarcoding should be supported by complementary approaches, such as morphological analysis or more targeted molecular approaches (e.g. qPCR, ddPCR). Even so, metabarcoding has already proved to be a highly sensitive tool to detect small organisms or undifferentiated life stages across a wide taxonomic range. In addition, it also seems to be very effective in ballast water management and to improve the spatial and temporal sampling frequency of NIS surveillance in marine and coastal ecosystems. Although specific protocols may be required for species-specific NIS detection, for general monitoring it would be vital to settle on a standard protocol able to generate comparable results among surveillance campaigns and regions of the globe, seeking the best approach for detecting the broadest range of species, while minimizing the chances of a false positive or negative detection.

ecology↗