A new approach is chosen to visualize ecosystem health by using parasite bioindicators in Segara Anakan Lagoon, a brackish water ecosystem at the southern Java coast, Indonesia. Three fish species (Mugil cephalus, Scatophagus argus, Epinephelus coioides) were collected in two different years and sampling sites and studied for ecto- and endoparasites. Additional data were taken for E. coioides from two further sites in Lampung Bay, Sumatra, and for E. fucoguttatus out of floating cages from a mariculture facility in the Thousand Islands, Jakarta Bay, North Java. The parasite fauna of fishes inside the lagoon was characterized by a high number of ecto- and a low number of endoparasites, the endoparasite diversity was relatively low and the prevalence of ectocommensalistic trichodinid ciliates was high. These parameters were chosen to indicate the biological conditions inside the lagoon. In E. coioides during rainy season, the prevalence of trichodinid ciliates was highest inside the lagoon (55%) compared with 27% in an open-net-cage mariculture and 5.7% in free-living specimens in Lampung Bay. The endoparasite diversity (Shannon-Wiener) was lowest in fish from Segara Anakan lagoon (0.66) compared with fish from an open-net-cage mariculture (0.71) and free-living specimens (1.39). Results for E. fuscoguttatus from the mariculture site in the Thousand Islands, a relatively undisturbed marine environment, demonstrated high parasite diversity (1.58) in the cultivated fish, a high number of endoparasites, and no trichodinids. A star graph is used to visualize the parasite composition for the different fishes, sampling sites, and conditions, using (1) the prevalence of trichodinid ciliates, (2) the ecto/endoparasite ratio and (3) the endoparasite diversity as bioindicators. The application of the star graph is suggested to be a suitable tool to visualize and monitor environmental health under high parasite biodiversity conditions within tropical ecosystems. It can also support a better communication to stake holders and decision makers in order to monitor environmental impact and change.
SummaryThe genetic identification and distribution of Anisakis larvae in Indonesia is described. 110 Auxis rochei rochei and 45 Decapterus russellii were sampled from fish markets in North (Anturan) and South (Kedonganan) Bali. Nematode larvae from A. rochei rochei, Caesio cuning and Epinephelus areolatus from Kedonganan and from Coryphaena hippurus from Pelabuhan Ratu, South Java, were identified using sequence analysis of the internal transcribed spacers (ITS-1, ITS-2) and 5.8S region of rDNA. The larvae belonged to Anisakis typica with an identical sequence to this species from the spinner dolphin (Stenella longirostris) from Brazil, and to 2 further genotypes that differed from that sequence by 0.24 -0.47 %. A. typica occurred in the migratory A. rochei rochei and C. hippurus, while Anisakis sp. 1 and 2 were isolated from the same fish species and the non-migratory C. cuning and E. areolatus. The latter genotype is distinguishable by 4 positions in the ITS-1 region (1.1 %), a genetic distance that indicates the presence of an Indonesian A. typica sibling species. The musculature infection in A. rochei rochei was low (2.5 %), indicating no major risk for the fish consumers. The much higher A. typica infection of fish intermediate hosts in the northern Bali coast is suggested to be dependent on the large dolphin population (nematode final hosts) in the waters off Lovina Beach (North Bali).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.