Biology subjects

Carvalho, C. O.

Publications and source records attributed to Carvalho, C. O..

3 recordsLinked to original sources

bioRxiv2025

Investigating the dynamics of the aquatic community in Oslofjord through time series analysis of eDNA

Understanding temporal dynamics of marine communities is critical for assessing ecosystem health and guiding conservation efforts. Here, we conducted a survey using environmental DNA (eDNA) metabarcoding with two primer sets, MiFish and Elas02, to investigate seasonal and interannual changes in the fish community of Oslofjord (Norway) over two consecutive years. Using the MitoFish reference database through the GBIF querying tool, we identified 61 fish species and found significant changes in the dominant taxa between seasons and years. Clupea harengus (Atlantic herring) consistently peaked in early spring, while Scomber scombrus (Atlantic mackerel) dominated winter months in the second year. The MiFish primer set showed increased species richness in the second year, whereas the Elas02 primer set showed stable richness despite compositional turnover. Non-metric multidimensional scaling (NMDS) revealed distinct community separation between years in presence/absence data, driven by species turnover rather than abundance read changes. Our findings support the use of eDNA metabarcoding to capture fine-scale temporal dynamics and emphasise the importance of multi-year datasets for distinguishing ecological trends from stochastic changes. This strategy improves monitoring practices for marine ecosystems under anthropogenic stressors.

ecology↗

bioRxiv2025

From Nets to Molecules: A Comparative Study of Stream Fish Diversity Recovery Using Different Sampling Methods in Eastern Amazonia

The Neotropical freshwaters of South America host an exceptional level of ichthyofaunal diversity with over 5,160 species, making it the richest continental fauna worldwide. Despite their richness, these freshwater ecosystems face severe threats from human activities, leading to significant declines in fish populations. Traditional fish sampling techniques, such as netting, have been fundamental to ichthyology, offering insights into species richness and abundance. However, the complexity of stream environments limits the effectiveness of conventional sampling tools. As a result, more elusive or niche species are often missed. In recent years, water environmental DNA (eDNA) has emerged as a complementary method to traditional sampling. It allows for detection of aquatic organisms from water samples, expanding the scope of biodiversity assessments. Nevertheless, eDNA filtration faces challenges, especially in turbid waters, including the likelihood of co-extracting inhibitors that can affect amplification and detection processes, as well as the downstream flow of eDNA signals, which means that samples predominantly detect upstream fauna. To address these limitations, the use of bulk samples, such as stomach contents, provides a robust alternative by directly analyzing biological tissues and leveraging the bidirectional mobility of organisms within the stream, enabling the detection of taxa from both upstream and downstream regions. Given these issues, this study combines traditional netting, water eDNA analysis, and dietary metabarcoding to assess the fish biodiversity in three Neotropical streams in the Capim River basin, Para, Brazil. The integration of multiple sampling techniques offers a more accurate picture of biodiversity, helping to overcome the limitations of each individual method and providing essential insights for conservation efforts.

genetics↗

bioRxiv2021

eDNA in a bottleneck: obstacles to fish metabarcoding studies in megadiverse freshwater systems

The current capacity of environmental DNA (eDNA) to provide accurate insights into the biodiversity of megadiverse regions (e.g., the Neotropics) requires further evaluation to ensure its reliability for long-term monitoring. In this study, we first evaluated the taxonomic resolution capabilities of a short fragment from the 12S rRNA gene widely used in fish eDNA metabarcoding studies, and then compared eDNA metabarcoding data from water samples with traditional sampling using nets. For the taxonomic discriminatory power analysis, we used a specifically curated reference dataset consisting of 373 sequences from 264 neotropical fish species (including 47 newly generated sequences) to perform a genetic distance-based analysis of the amplicons targeted by the MiFish primer set. We obtained an optimum delimitation threshold value of 0.5% due to lowest cumulative errors. The barcoding gap analysis revealed only a 50.38% success rate in species recovery (133/264), highlighting a poor taxonomic resolution from the targeted amplicon. To evaluate the empirical performance of this amplicon for biomonitoring, we assessed fish biodiversity using eDNA metabarcoding from water samples collected from the Amazon (Adolpho Ducke Forest Reserve and two additional locations outside the Reserve). From a total of 84 identified Molecular Operational Taxonomic Units (MOTUs), only four could be assigned to species level using a fixed threshold. Measures of -diversity analyses within the Reserve showed similar patterns in each site between the number of MOTUs (eDNA dataset) and species (netting data) found. However, {beta}-diversity revealed contrasting patterns between the methods. We therefore suggest that a new approach is needed, underpinned by sound taxonomic knowledge, and a more thorough evaluation of better molecular identification procedures such as multi-marker metabarcoding approaches and tailor-made (i.e., order-specific) taxonomic delimitation thresholds.

ecology↗