| Literature DB >> 31151478 |
Víctor M Vidal-Martínez1, Iván Velázquez-Abunader2, Oscar Arturo Centeno-Chalé2, Ana Luisa May-Tec2, Lilia C Soler-Jiménez2, Daniel Pech3, Ismael Mariño-Tapia2, Cecilia Enriquez4, Omar Zapata-Pérez2, Jorge Herrera-Silveira2, David I Hernández-Mena2, Sharon Z Herzka5, Uriel Ordoñez-López2, M Leopoldina Aguirre-Macedo2.
Abstract
BACKGROUND: We assessed metrics of the metazoan parasite infracommunities of the dusky flounder (Syacium papillosum) as indicators of aquatic environmental health of the Yucatan Shelf (YS) prior to oil extraction. We sampled the dusky flounder and its parasites along the YS, mostly during the 2015 north wind season (November-April). Our aims were: (i) to determine whether the parasite infracommunity metrics of S. papillosum exhibit significant differences among YS subregions; (ii) to determine whether the probability of the occurrence of its parasite species and individuals were affected by environmental variables, nutrients, heavy metals and hydrocarbons at the seascape level; and (iii) to determine whether there were statistical differences between the parasite infracommunity metrics of S. papillosum from YS and those of Syacium gunteri from the Campeche Sound. Multivariate statistical analyses and generalised additive models (GAMs) were used to examine the potential statistical associations between the contaminants, environmental variables and parasite community metrics, and the maximum entropy algorithm (MaxEnt) was used to characterise the habitat's suitability for the parasite's probability of occurrence.Entities:
Keywords: Bioindicators; Contamination; Dusky flounder; Environmental impact; Heavy metals; Hydrocarbons; Metazoan parasites; Mexico; Yucatan
Mesh:
Substances:
Year: 2019 PMID: 31151478 PMCID: PMC6545031 DOI: 10.1186/s13071-019-3524-6
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Fig. 1Sampling sites on the continental shelf of Yucatan, Gulf of Mexico. Yellow dots show the sampling sites where Syacium papillosum were caught in trawls, and red dots show the sites where water and sediment samples were obtained. Data for all environmental factors (e.g. nutrients, physicochemical variables, hydrocarbons and heavy metals) were obtained at each station
Morphometric data and sample size of the dusky flounder Syacium papillosum captured off the Peninsula of Yucatan, México
| Overall | Groups of sampling sites | |||
|---|---|---|---|---|
| Western YS | Mid YS | Caribbean | ||
| Total length ± SD (cm) | 24.50 ± 3.22 | 21.76 ± 4.69 | 24.31 ± 3.28 | 25.63 ± 1.79 |
| Standard length ± SD (cm) | 21.0 ± 3.31 | 17.72 ± 3.90 | 20.74 ± 3.32 | 22.35 ± 2.14 |
| Weight ± SD (g) | 124.9 ± 38.60 | 107.66 ± 53.95 | 125.41 ± 43.14 | 129.78 ± 25.85 |
| No. of fish examined | 127 | 26 | 48 | 53 |
Metazoan parasites of the dusky flounder Syacium papillosum off the Peninsula of Yucatan, México
| Metazoan parasites | GenBank ID | CNHE or CHCM cat. number | Overall | Groups of sampling sites | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Western YS | Mid YS | Caribbean | ||||||||
| % | MA ± SD | % | MA ± SD | % | MA ± SD | % | MA ± SD | |||
| Monogenea | ||||||||||
| | – | CHCM581 | 3.14 | 0.03 | – | – | 8.33 | 0.08 | – | – |
| Digenea | ||||||||||
| | MK558793 | CNHE11081 | 92.91 | 25.71 ± 84.69 | 88.46 | 58.80 ± 186.81 | 97.92 | 18.17 ± 18.98 | 90.57 | 16.32 ± 15.92 |
| | – | CHCM582 | 1.57 | 0.02 | – | – | – | – | 3.77 | 0.04 |
| | – | CHCM583 | 0.79 | 0.09 | – | – | – | – | 1.89 | 0.21 |
| | MK908868 | CHCM584 | 37 | 2.31 ± 7.43 | – | – | 27.08 | 2.00 ± 9.17 | 64.15 | 3.74 ± 6.75 |
| | – | CHCM585 | 1.57 | 0.02 | – | – | 2.08 | 0.02 | 1.89 | 0.02 |
| Cryptogonimidae gen. sp. 2L, G, M, Ge | – | CNHE11080 | 18.11 | 3.70 ± 57.45 | 23.07 | 13.15 ± 110.21 | 22.92 | 1.25 ± 7.58 | 11.32 | 1.28 ± 7.92 |
| | MK558795 | CNHE11073 | 64.56 | 38.94 ± 113.94 | 46.15 | 12.00 ± 28.98 | 54.17 | 8.46 ± 26.91 | 83.02 | 79.77 ± 144.82 |
| | – | CNHE11074 | 46.45 | 18.08 ± 105.80 | 50 | 9.19 ± 31.57 | 52.08 | 30.54 ± 130.36 | 39.62 | 11.15 ± 102.92 |
| | – | CNHE11075 | 2.36 | 0.41 ± 16.07 | – | – | – | – | 5.66 | 1.00 ± 16.07 |
| | MK558796 | CNHE11076 | 56.69 | 4.02 ± 18.70 | 26.92 | 0.92 ± 3.95 | 56.25 | 2.10 ± 3.30 | 71.7 | 7.28 ± 25.31 |
| | – | CNHE11077 | 28.34 | 13.66 ± 155.75 | 26.92 | 9.69 ± 50.74 | 33.33 | 25.75 ± 230.87 | 24.53 | 4.66 ± 26.61 |
| | – | CNHE11078 | 2.36 | 0.11 ± 3.21 | 7.69 | 0.26 ± 3.53 | 2.08 | 0.15 | – | – |
| | MK558794 | CHCM586 | 18.11 | 0.76 ± 6.06 | – | – | 12.5 | 0.44 ± 3.78 | 32.08 | 1.43 ± 6.76 |
| | – | CHCM587 | 0.78 | 0.01 | – | – | – | – | 1.89 | 0.02 |
| Didymozoidae ( | MK558797 | CNHE11083 | 12.59 | 0.30 ± 3.46 | 7.69 | 0.19 ± 0.71 | 18.75 | 0.23 ± 0.44 | 9.43 | 0.43 ± 5.94 |
| | MK558798 | CHCM617 | 2.52 | 0.09 ± 4.62 | 3.84 | 0.04 | – | – | 3.77 | 0.19 ± 5.66 |
| | – | CHCM618 | 1.57 | 0.05 ± 3.53 | – | – | – | – | 3.77 | 0.13 ± 3.54 |
| | – | CHCM588 | 6.29 | 0.24 ± 7.34 | – | – | 2.08 | 0.02 | 13.21 | 0.57 ± 7.83 |
| | – | CNHE11084 | 0.78 | 0.01 | – | – | – | – | 1.89 | 0.02 |
| Hemiuridae gen. sp.A, I, U | – | CHCM616 | 0.78 | 0.02 | – | – | – | – | 1.89 | 0.04 |
| Cestoda | ||||||||||
| | MK558806 | CHCM589 | 89.9 | 190.84 ±246.92 | 88.46 | 76.96 ± 82.73 | 95.83 | 219.14 ± 191.10 | 84.91 | 204.87 ± 316.54 |
| Tetraphyllidea gen. sp. L, I, U | – | CHCM590 | 21.8 | 1.63 ± 8.38 | 23.08 | 1.92 ± 14.12 | 12.5 | 0.97 ± 10.08 | 28.3 | 1.85 ± 4.40 |
| | MK558802 | CHCM591 | 67.72 | 9.94 ± 15.58 | 76.92 | 21.84 ± 22.04 | 77.08 | 8.69 ± 9.69 | 54.72 | 5.25 ± 10.50 |
| | MK558803 | CHCM592 | 23.62 | 0.60 ± 2.36 | 11.53 | 0.11 | 16.67 | 0.42 ± 1.69 | 35.85 | 1.02 ± 2.71 |
| | – | CHCM593 | 13.38 | 0.26 ± 1.66 | 23.08 | 0.53 ± 2.33 | 10.42 | 0.17 ± 1.34 | 11.32 | 0.23 ± 1.26 |
| | MK558804 | CHCM594 | 19.68 | 0.54 ± 2.77 | 7.69 | 0.15 ± 1.41 | 20.83 | 0.31 ± 1.08 | 24.53 | 0.94 ± 3.41 |
| | MK558805 | CHCM595 | 22.83 | 0.79 ± 3.91 | – | – | 16.67 | 0.42 ± 3.07 | 39.62 | 1.53 ± 4.19 |
| | – | CHCM596 | 2.36 | 0.14 ± 8.66 | – | – | – | – | 5.66 | 0.34 ± 8.66 |
| | MK908867 | CHCM597 | 1.57 | 0.02 | – | – | 4.17 | 0.04 | – | – |
| | – | CHCM598 | 4.72 | 0.10 ± 1.60 | – | – | 6.25 | 0.19 ± 2.00 | 5.66 | 0.08 ± 0.58 |
| Pterobothridae gen. sp.L, I, Ge | – | CHCM599 | 1.57 | 0.06 ± 4.24 | – | – | – | – | 3.77 | 0.15 ± 4.24 |
| Nematoda | ||||||||||
| Anisakidae gen. sp.L, I, Ge | – | CHCM615 | 14.17 | 2.30 ± 16.24 | 15.38 | 2.34 ± 8.42 | 14.58 | 2.96 ± 14.71 | 13.21 | 1.70 ± 21.51 |
| | MK558800 | CHCM600 | 39.37 | 1.46 ± 4.23 | 50 | 2.07 ± 5.47 | 14.58 | 0.19 ± 0.49 | 56.6 | 2.30 ± 4.03 |
| | MK558799 | CHCM601 | 14.96 | 0.42 ± 4.72 | – | – | 12.5 | 0.15 ± 0.41 | 24.53 | 0.89 ± 5.59 |
| | – | CHCM602 | 2.36 | 0.04 ± 1.15 | 3.84 | 0.04 | 4.17 | 0.08 ± 1.41 | – | – |
| | – | CHCM603 | 22.04 | 0.40 ± 1.49 | 19.23 | 0.5 ± 2.07 | 31.25 | 0.60 ± 1.58 | 15.09 | 0.17 ± 0.35 |
| | CHCM604 | 24.4 | 1.08 ± 4.47 | 15.38 | 0.53 ± 2.64 | 8.33 | 0.19 ± 1.50 | 43.4 | 2.15 ± 4.98 | |
| | MK558801 | CHCM605 | 4.72 | 0.07 ± 0.84 | 7.69 | 0.08 | – | – | 7.55 | 0.13 ± 0.96 |
| Capillaridae gen. sp.A, I, Ge | – | CHCM614 | 0.79 | 0.56 | 3.84 | 2.73 | – | – | – | – |
| Acanthocephala | ||||||||||
| | MK937567 | CHCM606 | 15.74 | 0.31 ± 1.19 | 11.53 | 0.35 ± 1.73 | 4.17 | 0.08 ± 1.41 | 28.3 | 0.49 ± 1.03 |
| | MK937568 | CHCM607 | 18.11 | 0.67 ± 8.10 | 3.84 | 0.04 | 22.92 | 1.35 ± 11.52 | 20.75 | 0.36 ± 1.19 |
| | – | CHCM613 | 0.79 | 0.01 | – | – | – | – | 1.89 | 0.02 |
| Arthropoda | ||||||||||
| | – | CHCM608 | 5.11 | 0.08 ± 0.76 | 11.53 | 0.19 ± 1.15 | 22.92 | 0.25 ± 0.3 | 14.82 | 0.22 ± 0.76 |
| | – | CHCM609 | 13.38 | 0.18 ± 0.61 | 3.84 | 0.07 | – | – | 2.08 | 0.02 |
| | – | CHCM610 | 2.36 | 0.03 ± 0.57 | 3.84 | 0.04 | 4.17 | 0.08 | 1.85 | 0.019 |
| | – | CHCM611 | 0.79 | 0.01 | – | – | – | – | 3.7 | 0.04 |
| Hirudinea | ||||||||||
| | – | CHCM612 | 0.79 | 0.01 | – | – | 2.08 | 0.02 | – | – |
Notes: The infection parameters are prevalence (%) and mean abundance (MA ± standard deviation, SD) for 17 sampling sites (Overall) and the three groups of sampling sites formed for the NMDS analysis (see Fig. 2). Aadult parasite, Llarval parasite, Ffins, Ggills, Iintestine, Memesenteries, Mmuscle, DTdigestive tract, Sstomach, Gegeneralist parasite, Uunknown status, *new species to be described elsewhere. Cat. number CNHE or CHCM: Catalogue number in the National Helminthological Collection, Universidad Nacional Autónoma de México, or the Helminthological Collection of CINVESTAV-IPN-Mérida respectively
Fig. 2Non-metric multidimensional scaling (NMDS) of the metazoan parasites of the dusky flounder Syacium papillosum. The plot shows resemblance patterns from three subregions in the Yucatan Shelf
Significant differences in similarity by ANOSIM for parasites of Syacium papillosum in Yucatan Shelf subregions
| Test | ||
|---|---|---|
| Global for subregions | 0.23 | 0.01 |
| Pairwise comparisons | ||
| Western YS | 0.19 | 0.26 |
| Western YS | 0.35 | 0.01 |
| Mid YS | 0.20 | 0.01 |
Abbreviation: ANOSIM, analysis of similarities
The infracommunities of the metazoan parasites of the dusky flounder Syacium papillosum (n = 127)
| Overall | Western YS | Mid YS | Caribbean | |
|---|---|---|---|---|
| Mean no. of species | 8.67 ± 3.43 | 6.79 ± 2.74 | 8.29 ± 3.28 | 9.94 ± 3.39 |
| Mean no. of individuals | 321.12 ± 321.09 | 228.50 ± 186.67 | 334.10 ± 371.75 | 354.81 ± 320.24 |
| Brillouinʼs diversity index | 0.94 ± 0.44 | 0.96 ± 0.43 | 0.87 ± 0.43 | 0.98 ± 0.45 |
| Brillouinʼs evenness index | 0.48 ± 0.21 | 0.56 ± 0.22 | 0.44 ± 0.19 | 0.47 ± 0.22 |
| Numerically dominant species |
Notes: The data include the community metrics for 17 sampling sites (Overall) and the three groups of sampling sites formed by non-metric multidimensional scaling (NMDS) patterns from the continental shelf of the Peninsula of Yucatan in Fig. 2
Fig. 3Rarefaction curves for the metazoan parasite species richness for dusky flounder Syacium papillosum
Species contributing the most to the total number of individuals per subregion in SIMPER analysis
| Species per subregion | Mean similarity ± SD | Percent contribution | Cumulative percent |
|---|---|---|---|
| Western YS | |||
| | 17.72 ± 1.82 | 36.79 | 36.79 |
| | 11.39 ± 1.53 | 23.66 | 60.45 |
| | 11.34 ± 2.05 | 23.54 | 83.99 |
| | 1.44 ± 0.37 | 3.00 | 86.99 |
| Cryptogonimidae gen. sp. 1 | 1.44 ± 0.39 | 2.98 | 89.98 |
| Mid YS | |||
| | 20.65 ± 2.24 | 40.44 | 40.44 |
| | 11.52 ± 2.51 | 22.56 | 62.99 |
| | 6.07 ± 1.09 | 11.88 | 74.88 |
| | 2.45 ± 0.60 | 4.80 | 79.67 |
| | 2.26 ± 0.65 | 4.42 | 84.09 |
| | 2.20 ± 0.55 | 4.31 | 88.4 |
| Cryptogonimidae gen. sp. 1 | 1.67 ± 0.48 | 3.26 | 91.66 |
| Caribbean | |||
| | 12.62 ± 1.56 | 26.86 | 26.86 |
| | 8.31 ± 1.72 | 17.69 | 44.55 |
| | 8.07 ± 1.11 | 17.19 | 61.74 |
| | 4.08 ± 0.95 | 8.68 | 70.42 |
| | 2.72 ± 0.78 | 5.78 | 76.2 |
| | 2.06 ± 0.62 | 4.38 | 80.58 |
| | 2.00 ± 0.65 | 4.26 | 84.85 |
| | 1.12 ± 0.46 | 2.38 | 87.23 |
| | 1.04 ± 0.40 | 2.20 | 89.43 |
| | 0.91 ± 0.42 | 1.95 | 91.38 |
Abbreviation: SIMPER, similarity percentages; SD, standard deviation
Best GAMLSS models for the parasite species (NSPP) and individual numbers (NIND) of Syacium papillosum
| Model |
| Global deviance | Percent of explained deviance | Akaike information criterion |
|
|---|---|---|---|---|---|
| NSPP ~ (ZONE) + | 12 | 44.57 | 44.30 | 68.57 | < 0.001 |
| NIND~ | 41 | 20.73 | 91.13 | 102.73 | < 0.001 |
Notes: The best GAMLSS model was selected using a stepwise procedure and the lowest values of AIC and global deviance. The independent variables (those without cs) had a linear relationship with the dependent variables
Abbreviations: ACEN, acenaphthylene in water; ASUMALI, sum of aliphatic hydrocarbons in water; cs, cubic spline smooth function; df, degrees of freedom; FE, fishing effort; ICTABU, ichthyoplankton abundance; LT, fish total length; NOFISH, number of fish per sampling station; NO3, nitrates concentration in water; SANTR, anthracene in sediment; SSUMPAH, sum of polyaromatic hydrocarbons in sediment; S235TRI, 2,3,5, trimethylnapthalene; ZONE, fishing zone in the Yucatan Peninsula; ZOO, zooplankton volume in water
Fig. 4Geographical distribution of Syacium papillosum parasites on the Yucatan Shelf (YS). a Spatial representation of a GAMLSS, where the number of parasite species of Syacium papillosum was the dependent variable and the fishing zone, fishing effort and nitrates were independent variables. b Spatial representation of the GAMLSS model, where the number of parasites per sampling site was the dependent variable and zooplankton volume, sum of aliphatic hydrocarbons in water, sum of polyaromatic hydrocarbons in sediment, fish length, number of fish per sampling site, 2,3,5-trimethylnaphthalene, anthracene in sediment, ichthyoplankton abundance and acenaphthylene in water were the independent variables. c Suitable habitat (= probability of occurrence) for parasite individuals in S. papillosum along the border of the continental shelf of the YS, based on habitat suitability for raw data of 23 environmental variables (e.g. Cd, Pb, 17 HCs, SO2, salinity, total carbon and sediment grain size). d Probability of occurrence of parasite individuals in S. papillosum along the border of the continental shelf of the YS, based on habitat suitability for the first four principal components selected from the raw values of the 23 environmental variables in c. Points indicate sites at which parasites occur
Fig. 5Non-metric multidimensional scaling (NMDS) of the metazoan parasites of Syacium papillosum and Syacium gunteri. The plot shows the resemblance patterns of the parasite infracommunities of S. papillosum for the Yucatan Shelf, and of S. gunteri for the Campeche Sound, southern Gulf of Mexico
Species contributing the most to the total number of individuals per region in the SIMPER analysis
| Species per region | Mean similarity ± SD | Percent contribution | Cumulative percent |
|---|---|---|---|
| Yucatan Shelf | |||
| | 16.25 ± 1.78 | 35.66 | 35.66 |
| | 10.00 ± 2.00 | 21.95 | 57.61 |
| | 4.53 ± 0.85 | 9.93 | 67.54 |
| | 4.25 ± 0.73 | 9.33 | 76.88 |
| Campeche Sound | |||
| | 36.12 ± 1.23 | 78.53 | 78.53 |
Fig. 6Distance-based redundancy analysis of the number of parasites of Syacium gunteri and Syacium papillosum. The plot shows the statistical associations of the number of parasites for S. gunteri (red dots) and S. papillosum (blue dots) per sampling station and the environmental variables retained by the analysis after a forward stepwise procedure. The acronyms of the environmental variables are as follows: SSUMPAH, sum of the concentrations of polyaromatic hydrocarbons per sampling site; PO4, phosphorus; NO2, nitrite; SiO4, silicate; Ni, nickel; Pb, lead; V, vanadium