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Marine parasites as biological tags in South American Atlantic waters, current status and perspectives

Published online by Cambridge University Press:  28 January 2014

D. M. P. CANTATORE
Affiliation:
Laboratorio de Parasitología, Facultad de Ciencias Exactas y Naturales, Instituto de Investigaciones Marinas y Costeras (IIMyC), Universidad Nacional de Mar del Plata-CONICET, Funes 3350, 7600 Mar del Plata, Argentina
J. T. TIMI*
Affiliation:
Laboratorio de Parasitología, Facultad de Ciencias Exactas y Naturales, Instituto de Investigaciones Marinas y Costeras (IIMyC), Universidad Nacional de Mar del Plata-CONICET, Funes 3350, 7600 Mar del Plata, Argentina
*
* Corresponding author: Laboratorio de Parasitología, Facultad de Ciencias Exactas y Naturales, Instituto de Investigaciones Marinas y Costeras (IIMyC), Universidad Nacional de Mar del Plata-CONICET, Funes 3350, 7600 Mar del Plata, Argentina. E-mail: jtimi@mdp.edu.ar
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Summary

Many marine fisheries in South American Atlantic coasts (SAAC) are threatened by overfishing and under serious risk of collapsing. The SAAC comprises a diversity of environments, possesses a complex oceanography and harbours a vast biodiversity that provide an enormous potential for using parasites as biological tags for fish stock delineation, a prerequisite for the implementation of control and management plans. Here, their use in the SAAC is reviewed. Main evidence is derived from northern Argentine waters, where fish parasite assemblages are dominated by larval helminth species that share a low specificity, long persistence and trophic transmission, parasitizing almost indiscriminately all available fish species. The advantages and constraints of such a combination of characteristics are analysed and recommendations are given for future research. Shifting the focus from fish/parasite populations to communities allows expanding the concept of biological tags from local to regional scales, providing essential information to delineate ecosystem boundaries for host communities. This new concept arose as a powerful tool to help the implementation of ecosystem-based approaches to fisheries management, the new paradigm for fisheries science. Holistic approaches, including parasites as biological tags for stock delineation will render valuable information to help insure fisheries and marine ecosystems against further depletion and collapse.

Information

Type
Fisheries
Copyright
Copyright © Cambridge University Press 2014 
Figure 0

Fig. 1. Map of the South American continent showing (A) the three subregions defined by Miloslavich et al. (2011) as analysed in this paper: Tropical West Atlantic (yellow), The Brazilian Shelves (blue), and Patagonian Shelf (red) and the main ocean currents in the West Atlantic Ocean and (B) the southern tip of South America, its ocean currents and zoogeographical provinces of Patagonian shelf subregion: Argentine Biogeographical province (green) and Magellanic Biogeographical province (orange). SMG: San Matías Gulf; NG: Nuevo Gulf. Map modified from Amante and Eakins (2009).

Figure 1

Table 1. Published surveys on stock discrimination using parasites as biological tags in fish species from South American Atlantic waters, within and across biogeographical provinces

Figure 2

Fig. 2. Proportional contribution of different parasite guilds to parasite assemblages across fish species in northern Argentine Sea in terms of (A) species richness; black: short-lived larval endoparasites (those living in the gut, such as larval cestodes); dark grey: long-lived larval endoparasites; light grey: short-lived adult endoparasites; white: short-lived ectoparasites, and (B) abundance; black: long-lived larval endoparasites, white: short-lived parasites combined. Co: Conger orbignianus; Cg: Cynoscion guatucupa; Ma: Mullus argentinae; Nb: Nemadactylus bergi; Pp: Pagrus pagrus; Pi: Paralichthys isosceles; Pa: Paralichthys patagonicus; Pr: Percophis brasiliensis; Pb: Pinguipes brasilianus; Pn: Prionotus nudigula; Ps: Pseudopercis semifasciata; Rb: Raneya brasiliensis; Xr: Xystreuris rasile.

Figure 3

Fig. 3. Cumulative patterns of mean abundance of three of the most common parasites found in fishes in northern Argentine waters across age size classes of Cynoscion guatucupa ranging from juvenile to adults. White bars: Hysterothylcium deardorffoverstreetorum; grey bars: Corynosoma australe; black bars: Grillotia carvajalregorum.

Figure 4

Fig. 4. Prevalence of Anisakis simplex s.l. in four host species along a latitudinal gradient in the Argentine Sea. Line represents prevalence in samples of Engraulis anchoita following a latitudinal sampling schema, and showing a pronounced increase of prevalence in southern latitudes (data from Timi, 2003). Bars represent prevalence in fish species caught at discrete localities: white: Percophis brasiliensis (data from Braicovich and Timi, 2008); grey: Merluccius hubbsi (unpublished own data); black: Pseudopercis semifasciata (data from Timi and Lanfranchi, 2009a).

Figure 5

Fig. 5. Non-metric two-dimensional ordination plot using Bray–Curtis similarity based on square-root transformed mean abundance of 14 species of long-lived and unspecific larval parasites across 51 fish samples corresponding to 20 fish species caught in three regions of the Argentine Sea. Results of hierarchical agglomerative clustering performed for parasite species is overlaid on the MDS plot with line circles representing 20% of similarity. ABP: Argentine Biogeographical province; MBP: Magellanic Biogeographical province: EC: Ecotone zone. Co: Conger orbignianus; Cg: Cynoscion guatucupa; Cp: Congiopodus peruvianus; Ea: Engraulis anchoita; Ma: Mullus argentinae; Mh: Merluccius hubbsi; Nb: Nemadactylus bergi; Os: Odontesthes smitti; Pp: Pagrus pagrus; Pi: Paralichthys isosceles; Pa: Paralichthys patagonicus; Pr: Percophis brasiliensis; Pb: Pinguipes brasilianus; Pn: Prionotus nudigula; Ps: Pseudopercis semifasciata; Py: Patagonotothen ramsayi; Rb: Raneya brasiliensis; Sj: Scomber japonicus; Tl: Trachurus lathami; Xr: Xystreuris rasile.

Figure 6

Table 2. One-factor PERMANOVA results of community data of unspecific and long-lived larval parasites of fishes from three regions in the Argentine Sea based on Bray–Curtis dissimilarity measures of square-root transformed mean abundances, with host trophic level as covariable. P-values obtained after 9999 permutations

Figure 7

Fig. 6. Canonical analysis of principal coordinates (CAP) ordination showing Bray–Curtis similarity based on square-root transformed mean abundance of 14 species of long-lived and unspecific larval parasites across 51 fish samples corresponding to 20 fish species caught in three regions of the Argentine Sea (A) and vectors representing Spearman rank correlations of individual parasite species with the CAP axes indicating which species characterize the different regions. Site and species codes as in Fig. 5.