Next Article in Journal
Microbiological Analysis Conducted on Raw Milk Collected During Official Sampling in Liguria (North-West Italy) over a Ten-Year Period (2014–2023)
Previous Article in Journal
Transcriptome Analysis Reveals the Molecular Mechanism of PLIN1 in Goose Hierarchical and Pre-Hierarchical Follicle Granulosa Cells
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Environmental DNA and Hydroacoustic Surveys for Monitoring the Spread of the Invasive European Catfish (Silurus glanis Linnaeus, 1758) in the Guadalquivir River Basin, Spain

1
Department of Functional Biology, Genetics, University of Oviedo, 33006 Oviedo, Spain
2
Department of Plant Biology and Ecology, University of Sevilla, 41012 Sevilla, Spain
3
Environment and Sustainability Area, Taxus Medio Ambiente, 33006 Oviedo, Spain
4
EcoFishUS Research S.L.L., 41009 Sevilla, Spain
5
Department of Zoology, University of Cordoba, 14071 Cordoba, Spain
*
Authors to whom correspondence should be addressed.
Animals 2025, 15(2), 285; https://doi.org/10.3390/ani15020285
Submission received: 26 September 2024 / Revised: 20 December 2024 / Accepted: 22 December 2024 / Published: 20 January 2025
(This article belongs to the Section Aquatic Animals)

Simple Summary

Introduced into the Ebro Basin in Spain in 1974, the invasive European catfish is now present in almost all Spanish river basins. This includes the Guadalquivir River, where it threatens native species and the ecological biodiversity of the Doñana National Park. This study provides valuable information on its current distribution using non-invasive methods such as hydroacoustics and environmental DNA and highlights the need for urgent control measures.

Abstract

The European catfish (Silurus glanis Linnaeus, 1758) was introduced into the Ebro Basin in Spain in 1974 for recreational fishing. Since then, the species has spread throughout the country’s river basins, reaching the Iznájar Reservoir (Guadalquivir River Basin) in 2011. This area is of great ecological and economic relevance, especially as it includes the Doñana National Park, one of the most important nature reserves in Europe. Recently, the presence of catfish has been reported in the lower reaches of the river. In this work, we used non-invasive vertical and horizontal hydroacoustic surveys and environmental DNA river sampling to unravel the actual distribution and dispersal pattern of the species in the lower Guadalquivir River. The hydroacoustic profiles and the species-specific detections by real-time PCR (qPCR) and droplet digital PCR (ddPCR) showed that these non-invasive methods allow the detection and quantification of catfish and provide valuable information on the species’ presence. We have confirmed the presence of catfish in most of the study area, including downstream areas of the Guadalquivir Basin. The results suggest the possibility of other isolated introductions and/or human-mediated movements of specimens, and imply that a coordinated catfish prevention and mitigation strategy is therefore urgently needed.

1. Introduction

Aquatic invasive species (AIS) are increasingly threatening ecosystems globally, causing biodiversity imbalances and having a substantial impact on economic enterprises [1]. Among the ecological impacts, AIS can significantly affect local biodiversity, potentially leading to the extinction of native species [2]. These impacts can arise from direct biotic interactions with the native fauna, such as competition and predation, as well as indirect changes in habitat conditions. In aquatic environments, organisms are characterised by strong trophic linkages that can be altered by introduced species. Invasive species in aquatic environments have strong and relatively constant ecological impacts [3].
Among invasive species in continental freshwater and low salinity (estuarine) bodies of water, the European catfish (Silurus glanis, Linnaeus, 1758) stands out as the largest fish in Europe excluding the diadromous sturgeon species [4]. Due to its piscivorous diet, the catfish poses a risk to native species and ecosystems [5,6,7,8]. Catfish were intentionally introduced in the Ebro Basin in Spain in 1974 and have since spread throughout the country’s river basins, primarily in the context of recreational fishing [6]. In July 2011, an individual of this species was captured in the Iznájar Reservoir, marking the first record of the European catfish introduced into the Guadalquivir River Basin (Figure 1) [9]. In 2015, the species was cited in the Rivera de Huelva River, a tributary on the right bank of the Guadalquivir River located more than 200 km downstream of the Iznájar Reservoir site [10]. Since then, the species has progressively appeared in different areas of the lower Guadalquivir River.
The lower area of the Guadalquivir River is home to a large number of aquatic species of great biological and economic value, making it the most important aquatic biodiversity hotspot in Andalusia, Spain [11,12,13,14,15]. The site covers 50,720 hectares of one of the largest wetlands in Europe and is the last area of largely undisturbed marshland within this ecosystem [16,17]. This region includes the lower Guadalquivir estuary, the southernmost river–estuary–delta system in continental Europe. Increasing human pressure and limited understanding of its dynamics have exacerbated socio-economic and environmental conflicts in recent years [18]. In addition, the biodiversity of the Doñana National Park and its associated ecosystems is threatened by intensive agriculture, which causes anthropogenic eutrophication of its waters [19], as well as by high groundwater use, pollution, hydrological infrastructure, climate change, and invasive species, which have significantly altered the ecological functioning of these systems [15]. As an invasive species, the catfish threatens biodiversity, as well as local economies and culture [20,21,22]. For this reason, it is important to study catfish presence, distribution, and dispersal patterns in ecologically sensitive areas such as the lower Guadalquivir. This has been the objective of the ’STOPSILURO’ (www.stopsiluro.es, accessed on 20 December 2024) project, launched in 2023 and targeting the development of control programs for this species that minimise its impact and prevent its spread in these areas of high ecological or socio-economic value.
Traditionally, aquatic species monitoring has depended on visual detection and often the capture of organisms. However, these methods are costly and labour-intensive [23]. In recent years, there have been significant advances in technologies for remote and early detection of invasive species. Hydroacoustics has proven to be a highly suitable tool for the quantitative characterisation of fish populations and their spatio-temporal distribution, as it allows large volumes of water to be sampled with great efficiency and high speed of data acquisition, which is why its use has increased in recent decades [8,24,25]. Regarding early detection, environmental DNA (eDNA) is considered one of the most promising analysis and management tools due to its high sensitivity in species detection [26,27,28].
The potential of hydroacoustic methodology as a useful tool for fish species management and control programmes, including exotic species, has been shown [8], although hydroacoustic equipment currently lacks the ability to identify species other than by body size or habitat distribution. However, in ecosystems where there is a clear differentiation of species based on their size, or where fish communities are monospecific or there is clear habitat segregation according to species, modern hydroacoustic techniques have been used as useful evaluation tools for fish species [24,25,29]. Regarding the European catfish, the possibility of using hydroacoustic techniques to evaluate and monitor its presence and abundance is of great relevance given the difficulty of catching this species with traditional fishing methods, which often leads to its underestimation [30]. Catfish are characterised by a high growth rate, especially during the first year of life [31,32]. Thus, the large size reached by this species at an early age, combined with the smaller size of the other species present in the study area, enables adult catfish specimens to be differentiated from the rest of the species using hydroacoustic methods.
Previous studies have successfully applied the environmental DNA (eDNA) methodology for the specific detection of catfish, demonstrating its sensitivity [33,34]. Parrondo et al. [35] proposed the combination of comprehensive reviews of citizen alerts with verifications based on specific molecular techniques as a rapid, cost-effective, and truly accessible strategy for the early detection of catfish in Spain. This could serve as a preliminary step before more comprehensive information phases in management plans addressing invasive species [35]. Currently, it is feasible to design species-specific primers for rapid detection, even when DNA is partially degraded. DNA degradation can pose a challenge in natural environments or environmental samples, but advances in primer design techniques and DNA amplification overcome these difficulties [36]. By reducing the time and resources needed for analyses, the implementation of conservation and natural resource management strategies is facilitated, along with the study of biological populations and communities [36,37].
Environmental DNA allows not only detection but also quantification of the species studied through two molecular techniques: the quantitative polymerase chain reaction (qPCR) and the droplet digital PCR (ddPCR) [38]. The qPCR measures the copy number of the amplified target fragment using a calibration curve derived from serial dilutions of a sample with a known concentration. The threshold fluorescence level is computed from initial cycles, and the cycle number (CT value) correlates with the sample’s template copy number [39]. Therefore, quantification via qPCR relies on an indirect measure from a calibration curve, limiting its precision and reproducibility. In recent years, a new quantitative method, ddPCR, has emerged, directly quantifying DNA without reference curves. This involves partitioning the sample into thousands of droplets and independently conducting a PCR in each, detecting fluorescence at the process’s conclusion, as an end-point measurement. Previous studies have demonstrated the effectiveness of both qPCR and ddPCR techniques in quantifying DNA concentrations of target species in eDNA from mesocosm experiments with known abundances and biomasses [40,41,42]. Estimates via ddPCR show less variation than qPCR, suggesting they can calculate eDNA concentration more accurately, enhancing the ability to estimate species abundance/biomass in eDNA studies [42,43]. However, not enough studies have been conducted on environmental samples to determine species distributions in natural habitats and the potential problems and benefits of both techniques.
Environmental DNA-based technologies, coupled with the use of echosounders, can provide accurate and early detection of invasive species such as catfish, thus contributing to comprehensive monitoring of biodiversity and environmental impacts in different aquatic environments [44]. In this study, a dual mapping strategy was implemented along the Guadalquivir Basin, using an environmental DNA detection method for monitoring catfish based on the molecular techniques of real-time quantitative PCR (qPCR) and droplet digital PCR (ddPCR). The objective of this study was to determine the range of expansion of European catfish in the lower Guadalquivir and also to assess the complementarity and potential synergies between eDNA analysis and hydroacoustic methods for monitoring aquatic invasive species in riverine environments.

2. Materials and Methods

2.1. Hydroacoustic Study

2.1.1. Hydroacoustic Survey

The acoustically surveyed area included three main zones, identified based on river morphology. The Alcalá del Río dam represents the final barrier before the Guadalquivir River flows into the sea. Therefore, we considered the section of the river upstream of the Alcalá del Río dam, extending to the Cantillana dam, as a separate area. This section forms the Alcalá del Río Reservoir (Figure S1). Next, we surveyed the section of the Guadalquivir River downstream of the Alcalá del Río dam up to its confluence with the Guadaíra River, covering a total of 45 km. The northern portion of this section, from the Alcalá del Río dam to South Sevilla, is narrower, with a width of approximately 150 m, while the southern portion, from South Sevilla to the confluence with the Guadaíra River, is wider, averaging around 300 m. Finally, we included the El Gergal Reservoir, which connects to the Guadalquivir River through the Rivera de Huelva tributary near North Sevilla.
Sampling was conducted using an outboard boat, with navigation always carried out upstream and sailing speed maintained at a steady 4 knots. The sampling was conducted throughout the month of June of 2023, during daylight hours, between 8 a.m. and 9 p.m. While the European catfish is primarily nocturnal, the lack of administrative permissions for night-time navigation, due to the unsafe conditions in the surveyed river area, made sampling during night impractical. Nonetheless, studies have shown that it can be effectively detected during the day because the higher daytime temperatures keep them active [8,45,46]. For the hydroacoustic surveys, we used a Simrad EK60 echosounder (Simrad Kongsberg Maritime AS, Horten, Norway) with a split-beam circular transducer operating at 200 kHz (ES200-7 C). The transducer was installed on a stainless-steel frame (utility model number ES1279955, EcoFishUS and University of Sevilla, Sevilla, Spain). The structure was mounted on the side of the boat, providing the equipment with good stability during sailing.
The hydroacoustic survey was conducted both vertically and horizontally to cover the entire ecosystem, including the surface and deepest zones. The surface water layer was surveyed using horizontal hydroacoustics, with the transducer positioned 120 cm below and parallel to the water surface. This ensured that the acoustic beam’s opening angle insonified a representative volume of the first 2 m of depth, avoiding the potential effects of engine noise and the near-field effect [47,48,49]. Zones with a depth greater than 2 m were surveyed using vertical hydroacoustics, with the transducer positioned 40 cm below the water surface and oriented towards the bottom. This configuration ensured that measurements taken below 2 m were reliable and unaffected by engine noise or the near-field effect [47,48,49]. The survey was conducted while navigating upstream in zigzag trajectories, except in areas where the river was too narrow for horizontal hydroacoustic surveys to insonify a representative volume. In such cases, parallel transects along the shores were performed, ensuring the insonification of the entire area.
Before sampling, the acoustic unit was calibrated using a calibration copper sphere following the standard calibration method [50]. The pulse duration was 0.256 ms, and the pulse mode was set to the maximum offered by the echosounder for the depths studied. The position of the transducer was geo-referenced in real time using an Emlid Reach RS2 GPS (Emlid Tech Kft., Budapest, Hungary) placed on the transducer structure.

2.1.2. Hydroacoustic Data Post-Processing

The data stored during the echo surveys were processed using the hydroacoustic analysis software Sonar5 Pro 608.43 [51]. Prior to processing, the bottom line was set in all sampling files to be able to discriminate between fish and bottom echoes. Subsequently, various sources of noise that could lead to errors in fish detection, such as bubbles, vegetation, patches of phytoplankton, zooplankton aggregations, and other noise sources were removed.

2.1.3. Catfish Detection

The acoustic signals were analysed to detect specimens that could potentially be catfish based on their size. To differentiate catfish from other fish species in the study area, a threshold of 1 m in total length was established for detected individuals. Among the species cohabiting the study area, some can reach lengths exceeding 50 cm, including the carp (Cyprinus carpio, Linnaeus, 1758), southern Iberian barbel (Luciobarbus sclateri, Günther, 1868), striped mullet (Mugil cephalus, Linnaeus, 1758), thinlip grey mullet (Chelon ramada, Risso 1826), twaite oliveshad (Alosa fallax, Lacépède, 1803), largemouth bass (Micropterus salmoides, Lacepède, 180), or European eel (Anguilla anguilla, Linnaeus, 1758) (Table S1) [6,52,53,54]. While this size threshold excludes smaller catfish, it minimises potential overlap with other species, ensuring that all detected specimens are unequivocally catfish, which is the primary focus of the survey.
For the analysis of transects from vertical surveys, the echo counting method based on single echo detection (SED) was used. The Target Strength (TS)-length relationship equation published by Love [55] and included in the standard UNE-EN 15910 [56] was employed for the TS-size conversion. In this case, the equation relates the TS to the total length (TL) of the fish. Size ranges with TS greater than −25.81 dB correspond to sizes greater than 1 m, so they were counted as catfish. All detections corresponding to individuals within these size ranges were georeferenced using the information stored during simultaneous GPS-acoustic surveying.
For the analysis of transects from horizontal surveys, the trace counting method based on fish tracks was employed. The equation used for the TS-size relationship was developed by Kubečka and Duncan [57], as specified in the UNE-EN 15910 standard. This equation considers the different orientations in which a specimen can be insonified during horizontal surveys. Unlike vertical surveys, where the fish is almost always insonified dorsally, in a horizontal survey, a fish can be insonified in different positions, ranging from head-to-tail to lateral. The head-to-tail position generates a lower TS by exposing less of the surface area of the fish to the acoustic beam than the lateral position, where a larger surface area is exposed. However, both positions correspond to the same size, so it is crucial to consider the orientation of the fish relative to the acoustic beam. In the track analysis, the program assigns the specific size corresponding to the specimen that has generated a particular trajectory based on the angle of the trajectory relative to the acoustic beam. Each track with a size equal to or greater than 1 m was manually checked using the analysis software tools, which provide a visual representation of the tracks across the different spatial axes to verify they originate from a catfish. As in vertical sampling, all catfish detections were georeferenced in the study area.

2.2. The eDNA Procedures and Analyses

2.2.1. Field Sample eDNA Collections

Water sampling was conducted in rivers and reservoirs of the Guadalquivir Basin located in the provinces of Sevilla and Córdoba in southern Spain (Figure S2) between 25 and 29 June 2023. The sampling sites were mostly located in areas that are exposed to sunlight for many hours and have no vegetal canopy to protect them from direct UV radiation, which can accelerate DNA degradation. Sampling was conducted during daylight hours but was structured to avoid the central parts of the day (12:00 to 15:00), as these coincide with the peak solar radiation and higher temperatures. A total of 34 samples of 2 litres each were collected from 17 sampling sites (Figure S2). Sampling points were clustered into 3 study areas: positive control area (Iznájar, Pantalán, and De la Hoz), upper river area (Viar, El Gergal, Lora del Río, Cantillana, Brenes, Alcalá del Río, and La Rinconada) and lower river area (North Sevilla, Puerto, Tomares, South Sevilla, Gelves, Coria del Río and La Señuela). Niskin-type oceanographic bottles were used to collect water samples to a depth of at least one metre to avoid the shallowest layer (without touching the bottom), which is the hottest and most affected by solar radiation. A HannaR HI98494 (Hanna Instruments, Woonsocket, RI, USA) worked to measure these parameters in the water column at 1–2 m avoiding contact with the sediment, including pH, oxidation-reduction potential (mV), dissolved oxygen percentage (%), dissolved oxygen concentration (mg/L), electrical conductivity (µS/cm), total dissolved solids (ppm), turbidity (NTU), and temperature (°C), during sampling (Table S2).
Sampling was performed using sterile equipment and disposable nitrile gloves. All the materials were sterilised between sampling points using 10% v/v commercial bleach (final [Cl] 0.3% v/v). Any residual bleach was then rinsed off with distilled water and the Niskin bottle was then rinsed again with reservoir water at the next sampling point. Benzalkonium chloride (BAC) was added to the samples to preserve the DNA using a pipette with sterile and filtered tips to a final concentration of 0.01% w/v BAC in the sample [58,59]. Two samples were collected at each sampling site (R1 and R2) and sampling was carried out attempting to separate the localities by a minimum of 2 km whenever possible. After sampling, the water samples were stored in sterile 2 L graduated bottles (REF. 407008.O) (Deltalab, Barcelona, Spain) at 4 °C until further processing.

2.2.2. Filtration and DNA Extraction

Water samples were filtered within 24 h of collection in a decontaminated laboratory using a filtration ramp with three filtration units (Labbox Labware SL, Barcelona, Spain). Two litres per sample were filtered. Sample (2 L in total): Sampling replicate 1 (1 L) − Subsamples R1_1 (0.5 L) + R1_2 (0.5 L)/Sampling replicate 2 (1 L) − Subsamples R2_1 (0.5 L) + R2_2 (0.5 L). We filtered 2 L of each point, with 1 L per sample (0.5 × 4), using a dual-filter strategy to avoid clogging. The filters used were a cellulose nitrate membrane filter (CN) with a 1.2 μm pore size (SARTORIUS Cellulose Nitrate Filter 11403—50----ACN) and, below, a second CN filter with a 0.20 μm pore size (PRAT DUMAS France MCNE-247-100). Filtration equipment was sterilised with 10% v/v commercial bleach solution for 10 min and rinsed twice with sterile distilled water between samples. Filters were folded using sterile tweezers and placed in bead tubes provided by the PowerWater® Kit (Qiagen, Hilden, Germany) and stored at −20 °C until DNA extraction. Filtration negative controls were run once a day between the samples to check for contamination (n = 6). Environmental DNA was extracted using DNeasy PowerWater® Kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions in a dedicated clean room for the processing of eDNA samples. Three extraction negative controls were added.

2.2.3. The qPCR and ddPCR Analyses

Primer3 software implemented in Geneious Prime® 2023.1.1 [60] was used for primers and probe design (see Supplementary Materials for more details). Two specific primers and a probe (FAM-labelled) were developed for a fragment of the 12S rRNA mitochondrial gene of the genus Silurus: Sil1-F (5′-TTTTCCCCGCCTATATACCGCC-3′) Sil1-R (5′-CTTCGGGCACTTACTTTCAAGG-3′) and Sil1-probe (**FAM-AACGTCAGGTCGAGGTGTAGCGTACG-MGB).
After a strict validation of the primers and probe (SI.1), the qPCR reactions were conducted in a dedicated pre-PCR laboratory where bench surfaces were sterilised with UV radiation. Each PCR contained 6 μL of template DNA, 1.2 μL of each primer (10 μM), 0.8 μL of probe (5 μM), 10 μL of TaqMan® Environmental Master Mix 2.0 (Thermo Fisher Scientific, Waltham, MA, USA), and DNase/RNase-free water to a final volume of 20 μL. Each PCR plate contained a standard curve consisting of a 1:10 dilution series to generate a standard curve of known amounts of DNA. Three technical (PCR) replicates were performed for each biological sample, resulting in a total of twelve replicates per sampling point. In addition, 3 no template controls (NTCs) per plate were included, as well as filtration and extraction controls. The filtration, extraction and technical controls returned negative results. Samples were run on an Applied Biosystems 7900HT Fast Real-Time PCR System (Thermo Fisher Scientific) under the following thermal cycling conditions: 2 min at 50 °C, 10 min at 95 °C, 50 cycles of 15 s at 95 °C, and 60 s at 60 °C. Sequence Detection Software SDS 2.4 (Thermo Fisher Scientific) was used to analyse the results. To include locations/sites for the rest of the analyses, two of the three technical replicates, besides one of the two subsamples (e.g., R1_1 (0.5 L) + R1_2 (0.5 L)) in at least one of the sites replicates (R1 or R2), should reveal catfish eDNA (as advised following a precautionary framework recommended by Goldberg et al. [61]).
Further optimisation and validation of the ddPCR assay were performed (SI.1). In this case, and due to logistical restrictions, subsamples (e.g., R1_1 (0.5 L) + R1_2 (0.5 L)) were pooled, and for each location/site, two replicates (Replicate 1 and Replicate 2) were analysed. Each ddPCR reaction mix (20 μL) comprised 10 μL of sample, 900 nM of each primer, and 250 nM of TaqMan probe, completed with Supermix for Probes (No dUTP) (1863023) (Bio-Rad, Hercules, CA, USA) at a concentration of 1×. This mixture was then combined with Bio-Rad’s droplet generation oil and divided into 15,000–20,000 droplets using the QX-100 droplet generator (Bio-Rad). Individual sample droplets were placed separately into each well of a 96-well PCR reaction plate. PCR was performed in the sealed 96-well plate using the Bio-Rad T-100 thermocycler (Bio-Rad). The final PCR conditions were 10 min at 95 °C, 40 cycles of denaturation for 30 s at 94 °C, and extension for 90 s at 57 °C with a temperature ramp of 2 °C/second, followed by 10 min at 98 °C, and a hold at 4 °C until plate reading. After PCR amplification, the plate was transferred to the Bio-Rad QX-200 droplet reader (Bio-Rad). Bio-Rad’s QuantaSoft software, version 1.7.4.0917, was used to quantify copies of the target DNA. To include locations/sites for the rest of the analyses, at least one of the site replicates (R1 or R2) should reveal catfish eDNA.

2.3. Mapping and Statistical Analyses

For the map graphics, we used QGIS v. 3.32.3 Lima (https://qgis.org/en/site/, accessed on 20 December 2024) with hydrography data from the Spatial Reference Data of Andalusia, Institute of Statistics and Cartography of the Government of Andalusia. Water physicochemical parameters were assessed for collinearity using a correlation matrix in R software v. 4.3.3. [62]. As a result, the following variables were dropped from the final regression analysis: pH, dissolved oxygen percentage (%), electrical conductivity (µS/cm), and total dissolved solids (ppm). Pearson correlation analyses [63] were conducted between log-transformed total qPCR and ddPCR eDNA copy numbers by site.
Principal component analysis (PCA) [64,65] was performed on physicochemical variables and qPCR and ddPCR catfish eDNA values using PAST V.4.17 [66]. A PCA was also performed using the total catfish eDNA values obtained by qPCR and ddPCR per site, the hydroacoustic catfish detections (aggregate counts) in river sections between 1 and 10 km upstream of the eDNA sampling sites (the mid-point between replicates R1 and R2 was taken as the reference point), and finally the distances from each eDNA sampling site to the river mouth (km). Stepwise linear regression analyses were also performed to identify associations between log-transformed response variables (eDNA ddPCR and qPCR copy numbers), and potentially explanatory variables in river and reservoir habitats wherever possible. Moreover, and despite temporal and spatial heterogeneity between the two detection methodologies used in this work, Fisher’s exact test (presence/absence) [67] and Spearman’s rank correlation were used to assess possible relationships between the abundance of catfish detected by hydroacoustics (estimated as counts upstream of eDNA sampling points as in the previous analyses), molecular techniques (qPCR and ddPCR catfish eDNA values), and distances from the river mouth (km).

3. Results

3.1. Hydroacoustic Survey Results and Spatial Distribution of S.glanis

Both vertical and horizontal surveys confirmed the presence of catfish in the lower Guadalquivir as well as in the El Gergal and Alcalá del Río Reservoirs (Figure 1). A total of 200 individuals were positively identified as adult catfish measuring 1 m or more. In the El Gergal Reservoir, a total of 11 individuals were detected, with the highest number in the dam area (9 individuals); in the Alcalá del Río Reservoir, 54 catfish detections were evenly distributed across the study area and, overall, were greater than in the El Gergal Reservoir. The highest number of catfish was detected in the river, particularly in the stretch between the Alcalá del Río dam and North Sevilla, with 78 detections decreasing progressively downstream, 54 detections in the rest of the Sevilla area, and 3 in the Coria del Río area, the last location where catfish was detected. Most of the detected individuals fell within the size range of 1.0 to 1.2 m (Figure S3).

3.2. Environmental DNA-Specific Detections, Quantifications and Spatial Distribution of S.glanis

The mean and standard deviation values for each physicochemical parameters from the sampling locations were estimated (Table S2): pH (µ = 8.2 ± 0.45), oxidation-reduction potential (ORP) (µ = 33.2 ± 9.55 mV), dissolved oxygen percentage (µ = 71.8 ± 42.80%), dissolved oxygen concentration (µ = 5.5 ± 3.23 mg/L), electrical conductivity (µ = 1769.2 ± 1118.84 µS/cm), total dissolved solids (µ = 885.2 ± 561.06 ppm), turbidity (µ = 0.9 ± 0.59 NTU), and temperature (µ = 28.6 ± 1.92 °C) showing high heterogeneity among sampling sites for some of the variables and evident correlation between some of them (Figure S4).
In the PCA analysis, PC1 and PC2 accounted for 74.8% of the total variability based on the eigenvalues obtained (Figure S4). Stepwise linear regression analyses with logarithmic transformation were performed among the variables, showing that in rivers, ddPCR copies were indeed positively associated with dissolved oxygen (mg/L) (p-value < 0.01) and negatively associated with turbidity (NTU) (p-value < 0.01). In reservoirs, copies detected by qPCR were also weakly negatively associated with turbidity (NTU) (p-value < 0.05) (Table S3).
Overall, both molecular assays (qPCR and ddPCR) demonstrated specific detection of catfish. There was no detection in any of the negative technical controls using either methodology. All filter and extraction controls showed no amplification, indicating the absence of contamination at all stages of the study. The qPCR data reported positive catfish detection in 13 sites (76.5%), while we obtained 11 positive sites with ddPCR (64.7%) from the 17 sample sites (Figure S5). A comparison of the results shows that 76.5% of the sites were concordant in terms of the presence of catfish eDNA between the two techniques tested. The qPCR results showed an average of 5.5 × 105 catfish eDNA copies (ranging from 108.2 to 3.4 × 106). Using the ddPCR methodology, the values for accepted generated droplets were on average 17,375 and ranged from 12,284 to 19,592. From this, an average of 454.5 positive catfish eDNA ddPCR copies were estimated (range: 60 to 1260 copies). Statistical analyses revealed a significant positive correlation between the logarithmically transformed copy number data obtained by qPCR and ddPCR for catfish environmental DNA (p-value < 0.01) (Figure S6).
The spatial distribution of catfish eDNA concentrations is shown in Figure 1. The S. glanis eDNA quantification results were higher at the sampling sites of the “positive” area within the Iznájar Reservoir (Iznájar, Pantalán, and Hoz), where all sites were positive for the presence of catfish (100%) with the highest quantification data of the study for qPCR (average 1.7 × 106 copies) and ddPCR assays (average 773 copies) (Figure 1 and Figure S5). The upper river area, above the Alcalá del Río dam (Viar, Lora del Río, Cantillana, Brenes, El Gergal, and Alcalá del Río), had five out of six catfish eDNA qPCR positive sites (83%) (negative detection was found for El Gergal) with an average of 3.3 × 105 copies detected. However, one of them, Alcalá del Río, was positive for only one qPCR replicate. For ddPCR, four out of six sites were positive (67%), with an average of 477 copies detected, while negative results were found for El Gergal and Alcalá del Río (Figure 1).
In the lower river study area downstream of the Alcalá del Río dam (La Rinconada, North Sevilla, Puerto, Tomares, Gelves, South Sevilla, Coria del Río, and La Señuela), there were qPCR detections for catfish eDNA (average of 6.9 × 104 copies detected) in five out of eight sites (62%) (La Rinconada, North Sevilla, South Sevilla, Gelves, and La Señuela) (Figure 1 and Figure S5). However, for Gelves and South Sevilla, catfish eDNA was detected in only one qPCR replicate. Using the ddPCR method, we obtained four out of eight catfish eDNA positive sites (50%) (La Rinconada, North Sevilla (one positive ddPCR replicate), Puerto and a location further south, La Señuela) with an average of 192 eDNA copies (Figure 1 and Figure S5).
Principal component analysis enabled exploratory integration of catfish abundance data from hydroacoustics vs. eDNA qPCR/ddPCR data (Figure 2). For analysis, hydroacoustic catfish detections (aggregated counts) were estimated in river sections in a range from 1 to 10 km upstream of the eDNA sampling points. The resulting PCA biplot showed a positive correspondence (narrow angles, same quadrants) between catfish eDNA qPCR/ddPCR copies, distances to the river mouth, and some hydroacoustic aggregated counts at distances greater than 6 km upstream of each eDNA sampling point (Figure 2). The PC1 and PC2 eigenvector values accounted for 74.5% and 15.1% of the data variance, respectively (a total of 90% of the total variance).
Positive and significant correlations were found between distances from the river mouth and catfish abundance detected by the different techniques, implying higher catfish abundance in upper areas within the Guadalquivir Basin (Figure 2). Spearman’s rank correlation analyses showed a significant positive correlation between the abundance of catfish detected by hydroacoustics at 6 km and 7 km upstream sections of the eDNA sam-pling points and distances to the river mouth (rho = 0.89, p-value = 0.033) (Figure 2B2). There was also a significant positive correlation between catfish abundance detected by ddPCR and distance from the river mouth (rho = 0.85, p-value = 0.034) and positive and marginally, but not significant, relation with the qPCR data (rho = 0.75, p-value = 0.083) (Figure 2C2,D2). A simple Fisher’s exact test (presence/absence) did not reveal significant relationships between the hydroacoustics and the two molecular technique detections (p-value > 0.05). Spearman’s rank correlation tests indicate positive but not statistically significant correlations (p-value > 0.05) between the hydroacoustic catfish detections and the qPCR/ddPCR copies.

4. Discussion

It has been claimed that the presence of S. glanis in the Guadalquivir River Basin may consist of two populations: one confined within the limits of the Iznájar Reservoir, located in the Genil River Basin, a tributary on the left-hand side of the main river, and a second population centred in the Guadalquivir River [10,68]. These populations are separated by more than 200 km of river, with no presence of the species along this distance. This could suggest that the Guadalquivir River has possibly experienced two separate human introductions of the species within the last ten years. Although the presence of the species is always concerning, its appearance in the lower area of the river is more alarming due to the ecological and economic importance of the invaded area.

4.1. Hydroacoustic Surveys Are a Useful Detection Tool for Uncovering Adult S.glanis Presence

The results obtained in this work using hydroacoustic surveys demonstrate the effectiveness of this method as an early detection tool for catfish in aquatic ecosystems. This is particularly relevant because this species is difficult to capture using standardised techniques in ecosystems like the one studied [30]. Consequently, its presence is usually reported years after its introduction, when the population has already reached high densities. This delay complicates the implementation of effective management plans or eradication efforts [8,69].
The large size reached early by catfish [7,31,32,70,71,72], combined with the size structure of the other species present in the surveyed area, allows for the differentiation of catfish specimens greater than 1 m TL from the rest of the species. This selection ensures that smaller catfish present in the area were not accounted for, which consequently results in the abundance of catfish in the surveyed area being higher than the abundance represented by the georeferenced specimens in the study. Nonetheless, this approach was crucial for accurately defining the species’ current expansion area and achieving the study objectives.
Hydroacoustic methodology has demonstrated significant potential as a tool for managing fish farms and monitoring exotic species [29,73,74]. As highlighted by Encina et al. [8], traditional netting methods often underestimate catfish populations due to the difficulty of capturing this species, with the hydroacoustic methodology proving to be a relevant tool for evaluating the species’ presence, especially in the early stages of an invasion.

4.2. Invasive S. glanis Can Be Detected Using Environmental DNA

Environmental DNA is a cost-effective and highly sensitive method that is widely used to improve our understanding of species distributions [60,75,76,77]. Despite this, it has been claimed that a more complete understanding of the “ecology” of eDNA (the origin, state, transport, and fate of extra-organismal genetic material) is essential to maximise its effective application in conservation and research [78]. There is currently no model that can accurately predict the location or abundance of fish from eDNA concentrations alone [79]. The eDNA sampling conducted in the Iznájar Reservoir was used here as a positive control for catfish detection in the field. This reservoir was, presumably, the entry point of S. glanis into the Guadalquivir area in 2011, and a high abundance of the species in the reservoir has been reported—officially and unofficially—since then [9,10,68]. All sampling points within the reservoir were positive when using the qPCR and ddPCR methods and two of them, the central ones (Figure 1), had the highest relative DNA copy number abundances in the study, confirming the effectiveness of eDNA for detecting S. glanis and suggesting a relationship with catfish abundance.
The section of the river upstream of the Alcalá del Río dam, including Alcalá del Río, Brenes, Cantillana, Lora del Río, Viar, and El Gergal, revealed the presence of catfish eDNA copies, with the exception of the El Gergal Reservoir (Figure 1). In this last locality, no positive results were obtained with any of the molecular techniques used, even though catfish are known to be present in the area [80], as confirmed by the hydroacoustic survey with a low number of individuals (Figure 1). Due to logistical constraints caused by a severe water shortage (<20% of capacity), only two close points (270 m apart) on the south-west bank of the reservoir were sampled for eDNA (Figure 1C1.1). The largest number of specimens detected by hydroacoustic were located in the northern area (Figure 1C1.1). As a result, there is a high probability that a site containing traces of catfish genetic material has not been sampled.
The river section (downstream of Alcalá del Río dam) including La Rinconada, North Sevilla, Puerto, Tomares, South Sevilla, Gelves, Coria del Río, and La Señuela was where the ddPCR and qPCR detection patterns showed more divergence in detectability. The ddPCR detected catfish eDNA only in the northern river locations (La Rinconada, North Sevilla, Puerto), whereas the qPCR also detected eDNA copies in South Sevilla and Gelves but not in the Port of Sevilla (both techniques detected catfish eDNA in La Señuela). As previously explained, South Sevilla and Gelves were the only two localities in this river section where replicates R1 and R2 yielded different results (only one of the replicates was positive in both cases). Nevertheless, it is relevant to report, regardless of sampling replication, since eDNA presence cannot be ignored when technical artefacts can be discarded. However, these qPCR results should be interpreted with caution, as recommended by Goldberg et al. [61]. When initial DNA concentrations are very low, discrepancies between qPCR replicates and potential false negatives are expected [81,82,83]. The port area, as a hub of activity, is probably susceptible to higher levels of environmental contamination, including PCR inhibitors, which could explain the failure of qPCR (in both replicates) while ddPCR successfully detected catfish.
Catfish eDNA was also detected at La Señuela, 30 km downstream of Coria del Río, the last site where the species was detected. This sampling site is located near the main riverbed, where the channels are supplied with water from a large pond (Balsa de Melendo; 36°57′ N; 6°02′ W) situated 12 km east of the Guadalquivir River’s main riverbed. A decomposed specimen of catfish was found by the authors in the vicinity of the Melendo pond in December 2023, perhaps providing additional evidence of the progress of the colonisation/invasion process. Transport of genetic material from the last river sites where the species was detected seems highly unlikely. Future studies should also focus on the southern hydrological network formed by channels and ponds, and investigate for possible local introductions that have not yet been detected or reported.

4.3. Are Hydroacoustics and Environmental DNA Methods Equivalent, Complementary, or Synergists?

The patterns of S. glanis abundance in the Guadalquivir River Basin were assessed using hydroacoustics and catfish eDNA qPCR/ddPCR with a dual-mapping approach. Both techniques (hydroacoustics and eDNA molecular analyses) successfully detected catfish in the upper and lower reaches of the Guadalquivir River Basin. Moreover, both showed a significant decrease in the abundance patterns of S. glanis as one moves towards lower latitudes along the main channel of the river, scientifically confirming the extent of catfish invasion into the lower Guadalquivir River, reaching almost the marsh area (17 km downstream), just 57 km from Doñana National Park. On the other hand, a direct comparison of catfish detection/abundances inferred from the two techniques showed non-significant results. Hydroacoustic data seem to be connected to molecular results, though not within the typically reported range of 3 km from the eDNA sampling points [84], but rather at greater distances (>6 km). The limited overlap in sampling locations and lack of temporal coincidence between the surveys likely hindered the ability to validate one technique against the other. Despite the absence of a direct correlation between both methods, they should be considered synergistic, as their combined use offers a broader perspective on the presence of catfish in the river basin. Furthermore, the complementarity of these techniques provides valuable new information about the species’ distribution.
The study area borders and overlapping regions where both techniques were applied are interesting and complement the information on species dispersal. (1) An exclusive catfish eDNA detection at La Señuela (Figure 1) raises a serious concern regarding the southern hydrological network formed by channels and ponds in the southernmost areas surrounding the main Guadalquivir river bed. (2) An exclusive hydroacoustic survey carried out from the Guadaíra River intersection with the Guadalquivir to the locality of Coria del Río pointed to scarce or even no presence of catfish (Figure 1 and Figure S1). (3) Both techniques suggested an increasing gradient of catfish abundance from Coria del Río to La Rinconada (Figure 1), and (4) upstream of the Alcalá del Río dam the S. glanis presence is certainly abundant, as shown by both methodologies, including the uppermost areas sampled exclusively for eDNA, where relative abundances are similar to those observed at the invasion origin in the Iznájar Reservoir (Figure 1). Both techniques have proven useful and now serve as viable alternatives for future monitoring. The eDNA sampling method is easier, cheaper, and can detect catfish juveniles. However, while the eDNA detection methodology and assays are ready, the validation of fish abundance estimates is still a pending and challenging task that should be addressed promptly. Wide and navigable rivers or reservoirs would need more eDNA replications to foster accuracy. However, hydroacoustics, already demonstrated as a valid tool, can be a very practical solution in such areas.

4.4. Implications of the S. glanis Invasion Front in the Lower Guadalquivir

The results from hydroacoustic and eDNA surveys confirm the spread of invasive catfish in the lower Guadalquivir River, reaching almost the Doñana National Park, which is home to over 280 species of high ecological and economic value [11,85]. The lower Guadalquivir River is critical for the breeding and growth of commercial fish species [11,85], and the river course also serves as a migratory route for several species [11]. The Alcalá del Río dam represents a barrier that blocks migratory fish, which aggregate below the dam making them easy prey for catfish [86,87,88]. The introduction of catfish, a non-native apex predator [7,86], poses a serious threat to Iberian native freshwater species, which are not adapted to heavy predation [89,90,91]. Additionally, if the catfish spreads to the Doñana wetlands, it would not only threaten fish species but also the large waterfowl community in the area, due to its ability to prey on birds [92,93].
While the natural dispersal of catfish is generally slow, higher water temperatures can accelerate this process [94,95]. In the Iberian Peninsula, the species has spread rapidly in rivers like the Ebro and Tajo [35,96], due to several factors: its trophic plasticity, which allows it to exploit diverse habitats and resources, including surface areas; its high growth rate, enhanced by warm temperatures; and its physiological resilience [7,31,86,97,98]. These adaptations enable the species to thrive in degraded, polluted, and low-visibility environments, such as the highly turbid waters of the Guadalquivir River [99,100] where it holds a competitive advantage over other predators.
The stretch of the Guadalquivir River from the Alcalá del Río dam to its mouth exhibits distinctive hydrology, characterised by changes in salinity. This is influenced by a combination of factors such as tides, river flow, wind, precipitation, and drought periods. These conditions create a mobile ‘salt barrier’ that can extend as far as Coria del Río, the furthest point where catfish were detected in this study [99,101]. Laboratory experiments conducted by Krasteva et al. [102] suggest that this ‘salt barrier’ may represent a key obstacle limiting the expansion of the catfish. However, this barrier is mobile and shifts towards the river mouth during periods of rainfall and floods, or during irrigation seasons when water from various reservoirs in the basin is released to supply the rice fields, which are widely cultivated in the surrounding area. This could facilitate the entry of the species into areas within the Doñana National Park, leading to critical ecological consequences for the ichthyofauna and avifauna of this protected ecosystem.
The Guadalquivir estuary is biologically, ecologically, and economically unique, but its ecosystem could be disrupted as invasive catfish populations reach saturation [86]. Efficient tools are needed for monitoring the distribution of this species in real time. The non-invasive methods used in this study proved to be effective and align with previous research, showing that eDNA and hydroacoustics can reliably detect invasive species and estimate fish populations in aquatic environments.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani15020285/s1, Figure S1: Hydroacoustic survey; Figure S2: Environmental DNA sampling sites; Figure S3: Length frequency histogram; Figure S4: PCA analysis of environmental DNA quantification results and physico-chemical parameters; Figure S5: Environmental DNA quantification results; Figure S6: Correlation of environmental DNA quantification results; Table S1. Recorded average and maximum body size of fish species inhabiting the study area. Table S2: Physico-chemical data from locations sampled in this work for eDNA analyses Table S3: Results of the linear regression analyses for environmental parameters and molecular methods in rivers and reservoirs. SI.1: Detailed protocols for primers, qPCR and ddPCR designs and optimizations [60,103,104,105,106,107].

Author Contributions

Conceptualisation, R.C., Á.F., L.M., T.P., C.F.-D., L.E., Y.J.B. and C.G.-L.; investigation, R.C., A.R.-R., Á.F., C.O., L.M., I.d.M., T.P., J.R.C., C.F.-D., L.E., Y.J.B. and C.G.-L.; resources, L.M., T.P. and Y.J.B.; resources and sampling, R.C., A.R.-R., Á.F., C.O., I.d.M., J.R.C., L.E. and C.G.-L.; data curation, R.C., C.O., I.d.M. and L.E.; writing—original draft preparation, R.C., C.O., I.d.M., C.F.-D., L.E. and Y.J.B.; writing—review and editing, R.C., A.R.-R., Á.F., C.O., L.M., I.d.M., T.P., J.R.C., C.F.-D., L.E., Y.J.B. and C.G.-L.; visualisation, R.C. and I.d.M.; supervision, L.M., L.E. and Y.J.B.; funding acquisition, C.F.-D., L.E. and Y.J.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministerio para la Transición Ecológica (MITECO) through the Tecnologías y Servicios Agrarios S.A., S.M.E., M.P. (TRAGSATEC) contract No 0005764 awarded to the University of Córdoba, Spain, and managed under contracts UC963411 and CN-23-01 between the University of Córdoba, EcoFish (a spin-off company of the University of Sevilla), and the University of Oviedo, respectively. Partial funding was received from the Asturias Regional Government (PA-24-BIODIVERSIDAD-BIO12). Ruth Coya holds a Severo Ochoa PhD Grant from the Asturias Regional Government (PA-23-BP22-161) and Alvaro Fueyo holds an Industrial PhD Grant (DIN2019-010834) from the Spanish Ministry of Science and Innovation.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Materials. Further inquiries can be directed to the corresponding author/s.

Acknowledgments

This is a contribution from the Marine Observatory of Asturias (OMA) and the Institute of Biotechnology of Asturias (IUBA). The authors thank Matthias F. Geiger (Zoological Research Museum Alexander Koenig, Bonn, Germany) for the kind supply of Silurus spp. tissues used in Parrondo et al. [35] and in this contribution. Carlos E. Carleos (University of Oviedo) is acknowledged for his useful advice in the revision of this manuscript. The authors thank María Solís Díaz for the bibliography revision of this manuscript and Javier Martínez Pérez for his help in the eDNA samplings.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lovell, S.J.; Stone, S.F.; Fernández, L. The Economic Impacts of Aquatic Invasive Species: A Review of the Literature. Agric. Resour. Econ. Rev. 2006, 35, 195–208. [Google Scholar] [CrossRef]
  2. IUCN. Freshwater Biodiversity—A Hidden Resource under Threat. Available online: www.iucn.org/redlist/ (accessed on 16 June 2024).
  3. Gallardo, B.; Clavero, M.; Sánchez, M.I.; Vilà, M. Global Ecological Impacts of Invasive Species in Aquatic Ecosystems. Glob. Change Biol. 2015, 22, 151–163. [Google Scholar] [CrossRef] [PubMed]
  4. Holcik, J. The Freshwater Fishes of Europe. In General Introduction to Fishes, Acipenseriformes; AULA-Verlag: Wiebelsheim, Germany, 1989; Volume 1, ISBN 9783891044315. [Google Scholar]
  5. Carol, J.; Zamora, L.; García-Berthou, E. Preliminary Telemetry Data on the Movement Patterns and Habitat Use of European Catfish (Silurus glanis) in a Reservoir of the River Ebro, Spain. Ecol. Freshw. Fish 2007, 16, 450–456. [Google Scholar] [CrossRef]
  6. Doadrio, I. Atlas y Libro Rojo de Los Peces Continentales de España de Conservación de la Naturaleza; Museo Nacional de Ciencias Naturales (CSIC), D.G.: Madrid, Spain, 2001; ISBN 84-8014-313-4. [Google Scholar]
  7. Copp, G.H.; Robert Britton, J.; Cucherousset, J.; García-Berthou, E.; Kirk, R.; Peeler, E.; Stakenas, S. Voracious Invader or Benign Feline? A Review of the Environmental Biology of European Catfish Silurus glanis in Its Native and Introduced Ranges. Fish Fish. 2009, 10, 252–282. [Google Scholar] [CrossRef]
  8. Encina, L.; Rodríguez-Ruiz, A.; Orduna, C.; Cid, J.R.; de Meo, I.; Granado-Lorencio, C. Impact of Invasive European Catfish (Silurus glanis) on the Fish Community of Torrejón Reservoir (Central Spain) during a 11-Year Monitoring Study. Biol. Invasions 2024, 26, 745–756. [Google Scholar] [CrossRef]
  9. Moreno-Valcárcel, R.; de Miguel, R.J.; Fernández-Delgado, C. The First Record of the European Catfish Silurus glanis Linnaeus, 1758 in the Guadalquivir River Basin. Limnetica 2013, 32, 23–26. [Google Scholar] [CrossRef]
  10. Sáez-Gómez, P.; Prenda, J. Updating the Distribution Data of Recently Introduced Freshwater Fish in the Guadalquivir River Basin (Spain). BioInvasions Rec. 2019, 8, 924–932. [Google Scholar] [CrossRef]
  11. Fernández-Delgado, C.; Drake, P.; Arias, A.M.; García, D. Peces de Doñana y Su Entorno; Organismo Autónomo Parques Nacionales, Ed.; Ministerio de Medio Ambiente: Madrid, Spain, 2000; ISBN 84-8014-293-6. [Google Scholar]
  12. Drake, P.; Arias, A.M.; Baldó, F.; Cuesta, J.A.; Rodríguez, A.; Silva-Garcia, A.; Sobrino, I.; García-González, D.; Fernández-Delgado, C. Spatial and Temporal Variation of the Nekton and Hyperbenthos from a Temperate European Estuary with Regulated Freshwater Inflow. Estuaries Coast 2002, 25, 451–468. [Google Scholar] [CrossRef]
  13. Cuesta, J.A.; González-Ortegón, E.; Rodríguez, A.; Baldó, F.; Vilas, C.; Drake, P. The Decapod Custacean Community of the Guadalquivir Estuary (SW Spain): Seasonal and Inter-Year Changes in Community Structure. Hydrobiologia 2006, 557, 85–95. [Google Scholar] [CrossRef]
  14. Fernández-Delgado, C.; Baldó, F.; Vilas, C.; García-González, D.; Cuesta, J.A.; González-Ortegón, E.; Drake, P. Effects of the River Discharge Management on the Nursery Function of the Guadalquivir River Estuary (SW Spain). Hydrobiologia 2007, 587, 125–136. [Google Scholar] [CrossRef]
  15. Fernández-Delgado, C. Doñana Natural Space: The Uncertain Future of a Crown Jewel in Europe’s Protected Areas. Case Stud. Environ. 2017, 1, 1–12. [Google Scholar] [CrossRef]
  16. Ruiz, F.; Rodríguez-Ramírez, A.; Cáceres, L.M.; Rodríguez Vidal, J.; Carretero, M.I.; Clemente, L.; Muñoz, J.M.; Yañez, C.; Abad, M. Late Holocene Evolution of the Southwestern Doñana National Park (Guadalquivir Estuary, SW Spain): A Multivariate Approach. Palaeogeogr. Palaeoclimatol. Palaeoecol. 2004, 204, 47–64. [Google Scholar] [CrossRef]
  17. González-Ortegón, E.; de Carvalho-Souza, G.F.; Vilas, C.; Baldó, F.; Cuesta, J.A. Trends in the Decapod Crustacean Community at the Southernmost Estuary of the Atlantic Coast of Europe. Sci. Rep. 2023, 13, 22857. [Google Scholar] [CrossRef]
  18. Ruiz, J.; Polo, M.J.; Díez-Minguito, M.; Navarro, G.; Morris, E.P.; Huertas, E.; Caballero, I.; Contreras, E.; Losada, M.A. The Guadalquivir Estuary: A Hot Spot for Environmental and Human Conflicts. In Environmental Management and Governance Coastal Research; Finkl, C.W., Makowski, C., Eds.; Springer: Berlin/Heidelberg, Germany, 2015; Volume 8, pp. 199–232. ISBN 978-3-319-06304-1. [Google Scholar]
  19. Paredes, I.; Ramírez, F.; Aragonés, D.; Bravo, M.Á.; Forero, M.G.; Green, A.J. Ongoing Anthropogenic Eutrophication of the Catchment Area Threatens the Doñana World Heritage Site (South-West Spain). Wetl. Ecol. Manag. 2021, 29, 41–65. [Google Scholar] [CrossRef]
  20. Andersen, M.C.; Adams, H.; Hope, B.; Powell, M. Risk Assessment for Invasive Species. Risk Anal. 2004, 24, 787–793. [Google Scholar] [CrossRef] [PubMed]
  21. Copp, G.H.; Bianco, P.G.; Bogutskaya, N.G.; Eros, T.; Falka, I.; Ferreira, M.T.; Fox, M.G.; Freyhof, J.; Gozlan, R.E.; Grabowska, J.; et al. To Be, or Not to Be, a Non-Native Freshwater Fish? J. Appl. Ichthyol. 2005, 21, 242–262. [Google Scholar] [CrossRef]
  22. Leunda, P. Impacts of Non-Native Fishes on Iberian Freshwater Ichthyofauna: Current Knowledge and Gaps. Aquat. Invasions 2010, 5, 239–262. [Google Scholar] [CrossRef]
  23. Snyder, D.E. Invited Overview: Conclusions from a Review of Electrofishing and Its Harmful Effects on Fish. Rev. Fish Biol. Fish. 2003, 13, 445–453. [Google Scholar] [CrossRef]
  24. Franco, A. Desenvolvimento Do Método Hidro-Acústico Como Ferramenta de Gestão Piscicola e Da Qualidade Ecológica Em Albufeiras: Aplicação à Albufeira Do Maranhão. Master’s Thesis, Universidad de Evora, Lisboa, Portugal, 2012. [Google Scholar]
  25. Draštík, V.; Godlewska, M.; Balk, H.; Clabburn, P.; Kubečka, J.; Morrissey, E.; Hateley, J.; Winfield, I.J.; Mrkvička, T.; Guillard, J. Fish Hydroacoustic Survey Standardization: A Step Forward Based on Comparisons of Methods and Systems from Vertical Surveys of a Large Deep Lake. Limnol. Oceanogr. Methods 2017, 15, 836–846. [Google Scholar] [CrossRef]
  26. Farrington, H.L.; Edwards, C.E.; Guan, X.; Carr, M.R.; Baerwaldt, K.; Lance, R.F. Mitochondrial Genome Sequencing and Development of Genetic Markers for the Detection of DNA of Invasive Bighead and Silver Carp (Hypophthalmichthys nobilis and H. molitrix) in Environmental Water Samples from the United States. PLoS ONE 2015, 10, e0117803. [Google Scholar] [CrossRef]
  27. Taberlet, P.; Bonin, A.; Zinger, L.; Coissac, E. Environmental DNA: For Biodiversity Research and Monitoring; Oxford University Press: Oxford, UK, 2018; ISBN 9780198767220. [Google Scholar]
  28. Uthicke, S.; Lamare, M.; Doyle, J.R. eDNA Detection of Corallivorous Seastar (Acanthaster cf. solaris) Outbreaks on the Great Barrier Reef Using Digital Droplet PCR. Coral Reefs 2018, 37, 1229–1239. [Google Scholar] [CrossRef]
  29. Frouzova, J.; Kubecka, J.; Balk, H.; Frouz, J. Target Strength of Some European Fish Species and Its Dependence on Fish Body Parameters. Fish. Res. 2005, 75, 86–96. [Google Scholar] [CrossRef]
  30. Benejam, L.; Carol, J.; Benito, J.; García-Berthou, E. On the Spread of the European Catfish (Silurus glanis) in the Iberian Peninsula: First Record in the Llobregat River Basin. Limnetica 2007, 26, 169–171. [Google Scholar] [CrossRef]
  31. Cucherousset, J.; Horky, P.; Slavík, O.; Ovidio, M.; Arlinghaus, R.; Boulêtreau, S.; Britton, R.; García-Berthou, E.; Santoul, F. Ecology, Behaviour and Management of the European Catfish. Rev. Fish Biol. Fish. 2018, 28, 177–190. [Google Scholar] [CrossRef]
  32. Antognazza, C.M.; Costantini, T.; Campagnolo, M.; Zaccara, S. One Year Monitoring of Ecological Interaction of Silurus glanis in a Novel Invaded Oligotrophic Deep Lake (Lake Maggiore). Water 2022, 14, 105. [Google Scholar] [CrossRef]
  33. Lecaudey, L.A.; Schletterer, M.; Kuzovlev, V.V.; Hahn, C.; Weiss, S.J. Fish Diversity Assessment in the Headwaters of the Volga River Using Environmental DNA Metabarcoding. Aquat. Conserv. Mar. Freshw. Ecosyst. 2019, 29, 1785–1800. [Google Scholar] [CrossRef]
  34. Schenekar, T.; Schletterer, M.; Lecaudey, L.A.; Weiss, S.J. Reference Databases, Primer Choice, and Assay Sensitivity for Environmental Metabarcoding: Lessons Learnt from a Re-evaluation of an eDNA Fish Assessment in the Volga Headwaters. River Res. Appl. 2020, 36, 1004–1013. [Google Scholar] [CrossRef]
  35. Parrondo, M.; Clusa, L.; Mauvisseau, Q.; Borrell, Y.J. Citizen Warnings and Post Checkout Molecular Confirmations Using eDNA as a Combined Strategy for Updating Invasive Species Distributions. J. Nat. Conserv. 2018, 43, 95–103. [Google Scholar] [CrossRef]
  36. Ficetola, G.F.; Miaud, C.; Pompanon, F.; Taberlet, P. Species Detection Using Environmental DNA from Water Samples. Biol. Lett. 2008, 4, 423–425. [Google Scholar] [CrossRef]
  37. Thomsen, P.F.; Willerslev, E. Environmental DNA—An Emerging Tool in Conservation for Monitoring Past and Present Biodiversity. Biol. Conserv. 2015, 183, 4–18. [Google Scholar] [CrossRef]
  38. Rourke, M.L.; Fowler, A.M.; Hughes, J.M.; Broadhurst, M.K.; DiBattista, J.D.; Fielder, S.; Walburn, J.W.; Furlan, E.M. Environmental DNA (eDNA) as a Tool for Assessing Fish Biomass: A Review of Approaches and Future Considerations for Resource Surveys. Environ. DNA 2022, 4, 9–33. [Google Scholar] [CrossRef]
  39. Corbisier, P.; Pinheiro, L.; Mazoua, S.; Kortekaas, A.-M.; Chung, P.Y.J.; Gerganova, T.; Roebben, G.; Emons, H.; Emslie, K. DNA Copy Number Concentration Measured by Digital and Droplet Digital Quantitative PCR Using Certified Reference Materials. Anal. Bioanal. Chem. 2015, 407, 1831–1840. [Google Scholar] [CrossRef] [PubMed]
  40. Nathan, L.M.; Simmons, M.; Wegleitner, B.J.; Jerde, C.L.; Mahon, A.R. Quantifying Environmental DNA Signals for Aquatic Invasive Species across Multiple Detection Platforms. Environ. Sci. Technol. 2014, 48, 12800–12806. [Google Scholar] [CrossRef] [PubMed]
  41. Doi, H.; Uchii, K.; Takahara, T.; Matsuhashi, S.; Yamanaka, H.; Minamoto, T. Use of Droplet Digital PCR for Estimation of Fish Abundance and Biomass in Environmental DNA Surveys. PLoS ONE 2015, 10, e0122763. [Google Scholar] [CrossRef] [PubMed]
  42. Brys, R.; Halfmaerten, D.; Neyrinck, S.; Mauvisseau, Q.; Auwerx, J.; Sweet, M.; Mergeay, J. Reliable eDNA Detection and Quantification of the European Weather Loach (Misgurnus fossilis). J. Fish Biol. 2021, 98, 399–414. [Google Scholar] [CrossRef]
  43. Doi, H.; Takahara, T.; Minamoto, T.; Matsuhashi, S.; Uchii, K.; Yamanaka, H. Droplet Digital Polymerase Chain Reaction (PCR) Outperforms Real-Time PCR in the Detection of Environmental DNA from an Invasive Fish Species. Environ. Sci. Technol. 2015, 49, 5601–5608. [Google Scholar] [CrossRef]
  44. Hegedűs, B.; Bagi, Z.; Tóth, B.; Kusza, S. The European Catfish (Silurus glanis) as an Invasive Species-eDNA Detection Methods. Sci. Pap. Anim. Sci. Biotechnol. 2023, 56, 145–155. [Google Scholar]
  45. Slavík, O.; Horký, P.; Bartoš, L.; Kolářová, J.; Randák, T. Diurnal and Seasonal Behaviour of Adult and Juvenile European Catfish as Determined by Radio-Telemetry in the River Berounka, Czech Republic. J. Fish Biol. 2007, 71, 101–114. [Google Scholar] [CrossRef]
  46. Nyqvist, D.; Calles, O.; Forneris, G.; Comoglio, C. Movement and Activity Patterns of Non-Native Wels Catfish (Silurus glanis Linnaeus, 1758) at the Confluence of a Large River and Its Colder Tributary. Fishes 2022, 7, 325. [Google Scholar] [CrossRef]
  47. Dawson, J.J.; Wiggins, D.; Degan, D.; Geiger, H.; Hart, D.; Adams, B. Point-Source Violations: Split-Beam Tracking of Fish at Close Range. Aquat. Living Resour. 2000, 13, 291–295. [Google Scholar] [CrossRef]
  48. Knudsen, F.R.; Fosseidengen, J.E.; Oppedal, F.; Karlsen, Ø.; Ona, E. Hydroacoustic Monitoring of Fish in Sea Cages: Target Strength (TS) Measurements on Atlantic Salmon (Salmo salar). Fish. Res. 2004, 69, 205–209. [Google Scholar] [CrossRef]
  49. Simmonds, J.; MacLennan, D. Fisheries Acoustics: Theory and Practice, 2nd ed.; Pitcher, T.J., Ed.; Blackwell Science Ltd.: Hoboken, NJ, USA, 2007; ISBN 978-0-632-05994-2. [Google Scholar]
  50. Simrad. Installation Manual; Kongsberg Maritime AS: Kongsberg, Norway, 2022; ISBN 978-82-8066-182-1. [Google Scholar]
  51. Balk, H.; Lindem, T. Sonar4 and Sonar5-Pro Post Processing Systems, Operator Manual 2007, Version 5.9.8; Balk and Lindem Data Acquisition: Oslo, Norway, 2014; 438.
  52. Oliveira, J.M.; Ferreira, T. Abundance, Size Composition and Growth of a Thin-Lipped Grey Mullet, Liza Ramada (Pisces: Mugilidae) Population in an Iberian River. Folia Zool. 1997, 46, 375–384. [Google Scholar]
  53. Fernández-Delgado, C.; Rincón, P.A.; Gálvez-Bravo, L.; De Miguel, R.J.; Oliva-Paterna, F.J.; Moreno-Valcárcel, R.; Pino, E.; Ramiro, A.; Peña, J.P.; De, C.; et al. Distribución y Estado de Conservación de Los Peces Dulceacuícolas Del Río Guadalquivir; Oficina de Planificación Hidrológica de la Confederación del Guadalquivir: Sevilla, Spain, 2014. [Google Scholar]
  54. Nachón, D.J.; Mota, M.; Antunes, C.; Servia, M.J.; Cobo, F. Marine and Continental Distribution and Dynamic of the Early Spawning Migration of Twaite Shad (Alosa fallax (Lacépède, 1803)) and Allis Shad (Alosa alosa (Linnaeus, 1758)) in the North-West of the Iberian Peninsula. Mar. Freshw. Res. 2016, 67, 1229. [Google Scholar] [CrossRef]
  55. Love, R.H. Target Strength of an Individual Fish at Any Aspect. J. Acoust. Soc. Am. 1977, 62, 1397–1403. [Google Scholar] [CrossRef]
  56. EN 15919:2014; Water quality—Guidance on the estimation of fish abundance with mobile hydroacoustic methods. European Standard Norme: Brussels, Belgium, 2014.
  57. Kubecka, J.; Duncan, A. Acoustic Size vs. Real Size Relationships for Common Species of Riverine Fish. Fish. Res. 1998, 35, 115–125. [Google Scholar] [CrossRef]
  58. Takahara, T.; Taguchi, J.; Yamagishi, S.; Doi, H.; Ogata, S.; Yamanaka, H.; Minamoto, T. Suppression of Environmental DNA Degradation in Water Samples Associated with Different Storage Temperature and Period Using Benzalkonium Chloride. Limnol. Oceanogr. Methods 2020, 18, 437–445. [Google Scholar] [CrossRef]
  59. Jo, T.; Sakata, M.K.; Murakami, H.; Masuda, R.; Minamoto, T. Universal Performance of Benzalkonium Chloride for the Preservation of Environmental DNA in Seawater Samples. Limnol. Oceanogr. Methods 2021, 19, 758–768. [Google Scholar] [CrossRef]
  60. Kearse, M.; Moir, R.; Wilson, A.; Stones-Havas, S.; Cheung, M.; Sturrock, S.; Buxton, S.; Cooper, A.; Markowitz, S.; Duran, C.; et al. Geneious Basic: An Integrated and Extendable Desktop Software Platform for the Organization and Analysis of Sequence Data. Bioinformatics 2012, 28, 1647–1649. [Google Scholar] [CrossRef]
  61. Goldberg, C.S.; Turner, C.R.; Deiner, K.; Klymus, K.E.; Thomsen, P.F.; Murphy, M.A.; Spear, S.F.; McKee, A.; Oyler-McCance, S.J.; Cornman, R.S.; et al. Critical Considerations for the Application of Environmental DNA Methods to Detect Aquatic Species. Methods Ecol. Evol. 2016, 7, 1299–1307. [Google Scholar] [CrossRef]
  62. R Core Team. A Language and Environment for Statistical Computing; Foundation for Statistical Computing: Vienna, Austria, 2020; Available online: https://www.R-project.org/ (accessed on 20 December 2024).
  63. Freedman, D.; Pisani, R.; Purves, R. Statistics (International Student Edition), 4th ed.; W.W. Norton & Company: New York, NY, USA; London, UK, 2007; ISBN 0393929728. [Google Scholar]
  64. Gabriel, K.R. The Biplot Graphic Display of Matrices with Application to Principal Component Analysis. Biometrika 1971, 58, 453. [Google Scholar] [CrossRef]
  65. Gower, J.; Lubbe, S.; Roux, N. Understanding Biplots; John Wiley & Sons: Hoboken, NJ, USA, 2011; Volume 53, ISBN 9780470012550. [Google Scholar]
  66. Hammer, Ø.; Harper, D.A.T.; Ryan, P.D. PAST: Paleontological Statistics Software Package for Education and Data Analysis. Palaeontol. Electron. 2001, 4, 1–9. [Google Scholar]
  67. Fisher, R.A. Statistical Methods for Research Workers, 5th ed.; Oliver and Boyd: Edinburgh, UK, 1934. [Google Scholar]
  68. Fernández-Delgado, C. Sobre la Presencia del Siluro (Silurus glanis) en el Bajo Guadalquivir. Available online: https://www.transdma.es/images/siluro_alcala_del_rio.pdf (accessed on 2 July 2024).
  69. Ribeiro, F.; Leunda, P.M. Non-native Fish Impacts on Mediterranean Freshwater Ecosystems: Current Knowledge and Research Needs. Fish. Manag. Ecol. 2012, 19, 142–156. [Google Scholar] [CrossRef]
  70. Carol, J.; Benejam, L.; Benito, J.; García-Berthou, E. Growth and Diet of European Catfish (Silurus glanis) in Early and Late Invasion Stages. Fundam. Appl. Limnol. 2009, 174, 317–328. [Google Scholar] [CrossRef]
  71. Alp, A.; Kara, C.; Üçkardeş, F.; Carol, J.; García-Berthou, E. Age and Growth of the European Catfish (Silurus glanis) in a Turkish Reservoir and Comparison with Introduced Populations. Rev. Fish Biol. Fish. 2011, 21, 283–294. [Google Scholar] [CrossRef]
  72. Kuzishchin, K.V.; Gruzdeva, M.A.; Pavlov, D.S. Traits of Biology of European Wels Catfish Silurus glanis from the Volga–Ahtuba Water System, the Lower Volga. J. Ichthyol. 2018, 58, 833–844. [Google Scholar] [CrossRef]
  73. Monteoliva, A. Aplicación de Tecnologías Acústicas En La Detección y Evaluación de Poblaciones de Peces y Mejillón Cebra En Los Embalses de La Cuenca Del Ebro; Santander: Boadilla del Monte, Spain, 2008. [Google Scholar]
  74. Monteoliva, A.; Criado, A. Servicio Para El Estudio de Las Posibles Causas de La Reciente Mortandad de Peces En El Embalse de La Cuerda Del Pozo; Confederacicón hidrográfica del Duero, Ministerio de Agricultura, Alimentación y Medioambiente: Valladolid, Spain, 2016. [Google Scholar]
  75. Taberlet, P.; Coissac, E.; Pompanon, F.; Brochmann, C.; Willerslev, E. Towards Next-generation Biodiversity Assessment Using DNA Metabarcoding. Mol. Ecol. 2012, 21, 2045–2050. [Google Scholar] [CrossRef]
  76. Mauvisseau, Q.; Parrondo, M.; Fernández, M.P.; García, L.; Martínez, J.L.; García-Vázquez, E.; Borrell, Y.J. On the Way for Detecting and Quantifying Elusive Species in the Sea: The Octopus Vulgaris Case Study. Fish. Res. 2017, 191, 41–48. [Google Scholar] [CrossRef]
  77. Borrell, Y.J.; Miralles, L.; Do Huu, H.; Mohammed-Geba, K.; Garcia-Vazquez, E. DNA in a Bottle—Rapid Metabarcoding Survey for Early Alerts of Invasive Species in Ports. PLoS ONE 2017, 12, e0183347. [Google Scholar] [CrossRef]
  78. Barnes, M.A.; Turner, C.R. The Ecology of Environmental DNA and Implications for Conservation Genetics. Conserv. Genet. 2016, 17, 1–17. [Google Scholar] [CrossRef]
  79. Wood, Z.T.; Lacoursière-Roussel, A.; LeBlanc, F.; Trudel, M.; Kinnison, M.T.; Garry McBrine, C.; Pavey, S.A.; Gagné, N. Spatial Heterogeneity of eDNA Transport Improves Stream Assessment of Threatened Salmon Presence, Abundance, and Location. Front. Ecol. Evol. 2021, 9, 650717. [Google Scholar] [CrossRef]
  80. Reyes, I.; Monteoliva, A.; Orduna-Marín, C.; Rodríguez-Ruiz, C.; Escot, C. Fish Assemblages in Seville Supply Reservoirs System: Implications for Management in a Water Scarcity Scenario. In Proceedings of the XXII Congress of the Iberian Association of Limnology (AIL), Vigo, España, 23–28 June 2024; p. 309. [Google Scholar]
  81. Mauvisseau, Q.; Davy-Bowker, J.; Bulling, M.; Brys, R.; Neyrinck, S.; Troth, C.; Sweet, M. Combining ddPCR and Environmental DNA to Improve Detection Capabilities of a Critically Endangered Freshwater Invertebrate. Sci. Rep. 2019, 9, 14064. [Google Scholar] [CrossRef] [PubMed]
  82. Ellison, S.L.R.; English, C.A.; Burns, M.J.; Keer, J.T. Routes to Improving the Reliability of Low Level DNA Analysis Using Real-Time PCR. BMC Biotechnol. 2006, 6, 33. [Google Scholar] [CrossRef] [PubMed]
  83. Furlan, E.M.; Gleeson, D.; Hardy, C.M.; Duncan, R.P. A Framework for Estimating the Sensitivity of eDNA Surveys. Mol. Ecol. Resour. 2016, 16, 641–654. [Google Scholar] [CrossRef]
  84. Nukazawa, K.; Hamasuna, Y.; Suzuki, Y. Simulating the Advection and Degradation of the Environmental DNA of Common Carp along a River. Environ. Sci. Technol. 2018, 52, 10562–10570. [Google Scholar] [CrossRef] [PubMed]
  85. Fernández-Delgado, C. La Zona de Cría y Engorde Del Bajo Guadalquivir. In El río Guadalquivir, del mar a la Marisma, Sanlúcar de Barrameda; Torrejón, J.R., Ed.; Junta de Andalucía, Consejería de Obras Públicas y Transportes: San Lucar de Barrameda, Spain, 2011; Volume 2, pp. 89–95. [Google Scholar]
  86. Vejřík, L.; Vejříková, I.; Blabolil, P.; Eloranta, A.P.; Kočvara, L.; Peterka, J.; Sajdlová, Z.; Chung, S.H.T.; Šmejkal, M.; Kiljunen, M.; et al. European Catfish (Silurus glanis) as a Freshwater Apex Predator Drives Ecosystem via Its Diet Adaptability. Sci. Rep. 2017, 7, 15970. [Google Scholar] [CrossRef] [PubMed]
  87. Boulêtreau, S.; Carry, L.; Meyer, E.; Filloux, D.; Menchi, O.; Mataix, V.; Santoul, F. High Predation of Native Sea Lamprey during Spawning Migration. Sci. Rep. 2020, 10, 6122. [Google Scholar] [CrossRef]
  88. Boulêtreau, S.; Fauvel, T.; Laventure, M.; Delacour, R.; Bouyssonnié, W.; Azémar, F.; Santoul, F. “The Giants’ Feast”: Predation of the Large Introduced European Catfish on Spawning Migrating Allis Shads. Aquat. Ecol. 2021, 55, 75–83. [Google Scholar] [CrossRef]
  89. Elvira, B.; Almodóvar, A. Freshwater Fish Introductions in Spain: Facts and Figures at the Beginning of the 21st Century. J. Fish Biol. 2001, 59, 323–331. [Google Scholar] [CrossRef]
  90. Encina, L.; Rodriguez, A.; Granado-Lorencio, C. The Iberian Ichthyofauna: Ecological Contributions. Limnetica 2006, 25, 349–368. [Google Scholar] [CrossRef]
  91. Ribeiro, F.; Collares-PereiraA¡, M.J.; Moyle, P.B. Non-native Fish in the Fresh Waters of Portugal, Azores and Madeira Islands: A Growing Threat to Aquatic Biodiversity. Fish. Manag. Ecol. 2009, 16, 255–264. [Google Scholar] [CrossRef]
  92. Syväranta, J.; Cucherousset, J.; Kopp, D.; Martino, A.; Céréghino, R.; Santoul, F. Contribution of Anadromous Fish to the Diet of European Catfish in a Large River System. Naturwissenschaften 2009, 96, 631–635. [Google Scholar] [CrossRef] [PubMed]
  93. Cucherousset, J.; Boulêtreau, S.; Azémar, F.; Compin, A.; Guillaume, M.; Santoul, F. “Freshwater Killer Whales”: Beaching Behavior of an Alien Fish to Hunt Land Birds. PLoS ONE 2012, 7, e50840. [Google Scholar] [CrossRef] [PubMed]
  94. Lyach, R.; Remr, J. Changes in Recreational Catfish Silurus glanis Harvest Rates between Years 1986–2017 in Central Europe. J. Appl. Ichthyol. 2019, 35, 1094–1104. [Google Scholar] [CrossRef]
  95. Rees, A. The Impact of Introduced European Catfish (Silurus glanis L.) in UK Waters: A Three Pond Study. Ph.D. Thesis, University of Hertfordshire, Hatfield, UK, 2020. [Google Scholar]
  96. Gago, J.; Anastácio, P.; Gkenas, C.; Banha, F.; Ribeiro, F. Spatial Distribution Patterns of the Non-Native European Catfish, Silurus glanis, from Multiple Online Sources—A Case Study for the River Tagus (Iberian Peninsula). Fish. Manag. Ecol. 2016, 23, 503–509. [Google Scholar] [CrossRef]
  97. Capra, H.; Pella, H.; Ovidio, M. Movements of Endemic and Exotic Fish in a Large River Ecosystem (Rhône, France). In Proceedings of the 10th International Symposium on Ecohydraulics, Trondheim, Norway, 21–27 June 2014. [Google Scholar]
  98. Capra, H.; Pella, H.; Ovidio, M. Individual Movements, Home Ranges and Habitat Use by Native Rheophilic Cyprinids and Non-native Catfish in a Large Regulated River. Fish. Manag. Ecol. 2018, 25, 136–149. [Google Scholar] [CrossRef]
  99. Díez-Minguito, M.; Contreras, E.; Polo, M.J.; Losada, M.A. Spatio-temporal Distribution, Along-channel Transport, and Post-riverflood Recovery of Salinity in the Guadalquivir Estuary (SW Spain). J. Geophys. Res. Ocean. 2013, 118, 2267–2278. [Google Scholar] [CrossRef]
  100. Megina, C.; Donázar-Aramedía, Í.; Miró, J.M.; García-Lafuente, J.; García-Gómez, J.C. The Hyperturbid Mesotidal Guadalquivir Estuary during an Extreme Turbidity Event: Identifying Potential Management Strategies. Ocean Coast. Manag. 2023, 246, 106903. [Google Scholar] [CrossRef]
  101. Siles-Ajamil, R.; Díez-Minguito, M.; Losada, M.Á. Tide Propagation and Salinity Distribution Response to Changes in Water Depth and Channel Network in the Guadalquivir River Estuary: An Exploratory Model Approach. Ocean Coast. Manag. 2019, 174, 92–107. [Google Scholar] [CrossRef]
  102. Krasteva, V.; Zaikov, A.; Yankova, M. Effect of Different Tank Colours on Some Productive Parameters of European Catfish (Silurus glanis L.) Fingerlings. Agric. Sci. Technol. 2020, 12, 19–23. [Google Scholar] [CrossRef]
  103. Benoit, N.P.; Robinson, K.M.; Kellogg, C.T.; Lemay, M.A.; Hunt, B.P. Using qPCR of Environmental DNA (eDNA) to Estimate the Biomass of Juvenile Pacific Salmon (Oncorhynchus spp.). Environ. DNA 2023, 5, 683–696. [Google Scholar] [CrossRef]
  104. Taylor, S.C.; Nadeau, K.; Abbasi, M.; Lachance, C.; Nguyen, M.; Fenrich, J. The Ultimate qPCR Experiment: Producing Publication Quality, Reproducible Data the First Time. Trends Biotechnol. 2019, 37, 761–774. [Google Scholar] [CrossRef] [PubMed]
  105. Ward, R.D.; Zemlak, T.S.; Innes, B.H.; Last, P.R.; Hebert, P.D.N. DNA Barcoding Australia’s Fish Species. Philos. Trans. R. Soc. B 2005, 360, 1847–1857. [Google Scholar] [CrossRef] [PubMed]
  106. Ye, J.; Coulouris, G.; Zaretskaya, I.; Cutcutache, I.; Rozen, S.; Madden, T.L. Primer-BLAST: A Tool to Design Target-Specific Primers for Polymerase Chain Reaction. BMC Bioinform. 2012, 13, 134. [Google Scholar] [CrossRef] [PubMed]
  107. Yun, J.J.; Heisler, L.E.; Hwang, I.I.; Wilkins, O.; Lau, S.K.; Hyrcza, M.; Der, S.D. Genomic DNA Functions as a Universal External Standard in Quantitative Real-Time PCR. Nucleic Acids Res. 2006, 34, e85. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Detection and quantification of Silurus glanis using eDNA and hydroacoustic surveys in the Guadalquivir River Basin. (A1) Iberian Peninsula showing the Andalusian region. (B1) The Andalusian region, showing the Guadalquivir River Basin and including the Doñana National Park location. (C1) Detailed map of the Guadalquivir River Basin in the province of Sevilla showing the locations sampled for hydroacoustics and catfish eDNA (qPCR and ddPCR). (C1.1) Detail of the El Gergal Reservoir in Sevilla. (D1) Detailed map of the Iznájar Reservoir in the Guadalquivir River Basin, province of Córdoba. In this figure, the squares represent catfish eDNA qPCR quantification results while the circles around them represent catfish eDNA ddPCR quantification results. For both molecular methods, a heatmap from color white to color red dots gradient indicates the number of copies obtained. Hydroacoustic data (aggregate counts) is also represented by a heatmap from white to green indicating the numerical density of individuals greater than 1 m, while the number of individuals per stretch is given numerically in a yellow circle. In (C1.1) each individual is displayed as a yellow dot (some of them overlap in the middle) and white dots indicate the location of the two negative water samples taken for eDNA analyses.
Figure 1. Detection and quantification of Silurus glanis using eDNA and hydroacoustic surveys in the Guadalquivir River Basin. (A1) Iberian Peninsula showing the Andalusian region. (B1) The Andalusian region, showing the Guadalquivir River Basin and including the Doñana National Park location. (C1) Detailed map of the Guadalquivir River Basin in the province of Sevilla showing the locations sampled for hydroacoustics and catfish eDNA (qPCR and ddPCR). (C1.1) Detail of the El Gergal Reservoir in Sevilla. (D1) Detailed map of the Iznájar Reservoir in the Guadalquivir River Basin, province of Córdoba. In this figure, the squares represent catfish eDNA qPCR quantification results while the circles around them represent catfish eDNA ddPCR quantification results. For both molecular methods, a heatmap from color white to color red dots gradient indicates the number of copies obtained. Hydroacoustic data (aggregate counts) is also represented by a heatmap from white to green indicating the numerical density of individuals greater than 1 m, while the number of individuals per stretch is given numerically in a yellow circle. In (C1.1) each individual is displayed as a yellow dot (some of them overlap in the middle) and white dots indicate the location of the two negative water samples taken for eDNA analyses.
Animals 15 00285 g001
Figure 2. The abundance patterns of Silurus glanis using hydroacoustics and catfish eDNA qPCR/ddPCR dual mapping. (A2) Principal component analysis (PCA) biplot based on the correlation matrix of catfish eDNA qPCR and ddPCR copies in 2 L of water, hydroacoustic catfish detections (aggregated counts) upstream of the eDNA water sampling points ranging from 3 to 10 km and finally distances from river mouth (km) for each of the values. Spearman rank correlation test plot between (B2) distance from the river mouth and the hydroacoustic detection at 6 km of eDNA sampling, (C2) distance from the river mouth and the eDNA qPCR detections, and (D2) distance from the river mouth and the eDNA ddPCR detections. Different colored dots represent different correlation tests.
Figure 2. The abundance patterns of Silurus glanis using hydroacoustics and catfish eDNA qPCR/ddPCR dual mapping. (A2) Principal component analysis (PCA) biplot based on the correlation matrix of catfish eDNA qPCR and ddPCR copies in 2 L of water, hydroacoustic catfish detections (aggregated counts) upstream of the eDNA water sampling points ranging from 3 to 10 km and finally distances from river mouth (km) for each of the values. Spearman rank correlation test plot between (B2) distance from the river mouth and the hydroacoustic detection at 6 km of eDNA sampling, (C2) distance from the river mouth and the eDNA qPCR detections, and (D2) distance from the river mouth and the eDNA ddPCR detections. Different colored dots represent different correlation tests.
Animals 15 00285 g002
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Coya, R.; Rodríguez-Ruiz, A.; Fueyo, Á.; Orduna, C.; Miralles, L.; de Meo, I.; Pérez, T.; Cid, J.R.; Fernández-Delgado, C.; Encina, L.; et al. Environmental DNA and Hydroacoustic Surveys for Monitoring the Spread of the Invasive European Catfish (Silurus glanis Linnaeus, 1758) in the Guadalquivir River Basin, Spain. Animals 2025, 15, 285. https://doi.org/10.3390/ani15020285

AMA Style

Coya R, Rodríguez-Ruiz A, Fueyo Á, Orduna C, Miralles L, de Meo I, Pérez T, Cid JR, Fernández-Delgado C, Encina L, et al. Environmental DNA and Hydroacoustic Surveys for Monitoring the Spread of the Invasive European Catfish (Silurus glanis Linnaeus, 1758) in the Guadalquivir River Basin, Spain. Animals. 2025; 15(2):285. https://doi.org/10.3390/ani15020285

Chicago/Turabian Style

Coya, Ruth, Amadora Rodríguez-Ruiz, Álvaro Fueyo, Carlos Orduna, Laura Miralles, Ilaria de Meo, Trinidad Pérez, Juan Ramón Cid, Carlos Fernández-Delgado, Lourdes Encina, and et al. 2025. "Environmental DNA and Hydroacoustic Surveys for Monitoring the Spread of the Invasive European Catfish (Silurus glanis Linnaeus, 1758) in the Guadalquivir River Basin, Spain" Animals 15, no. 2: 285. https://doi.org/10.3390/ani15020285

APA Style

Coya, R., Rodríguez-Ruiz, A., Fueyo, Á., Orduna, C., Miralles, L., de Meo, I., Pérez, T., Cid, J. R., Fernández-Delgado, C., Encina, L., Borrell, Y. J., & Granado-Lorencio, C. (2025). Environmental DNA and Hydroacoustic Surveys for Monitoring the Spread of the Invasive European Catfish (Silurus glanis Linnaeus, 1758) in the Guadalquivir River Basin, Spain. Animals, 15(2), 285. https://doi.org/10.3390/ani15020285

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop