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Infection dynamics of Caryophyllaeid tapeworm, Adenoscolex oreini Fotedar, 1958 and impacts of intra-lake pollution gradient on intermediate host (copepods) and health attributes of Schizothorax spp.

Published online by Cambridge University Press:  24 May 2017

U. R. ZARGAR*
Affiliation:
Department of Zoology, Central University of Kashmir, Sonwar Campus, Srinagar 190004, India
M. Z. CHISHTI
Affiliation:
Department of Zoology, Central University of Kashmir, Sonwar Campus, Srinagar 190004, India
M. I. RATHER
Affiliation:
P.G. Department of Environmental Sciences, University of Kashmir, Srinagar 190006, India
S.A. KHANDAY
Affiliation:
P.G. Department of Environmental Sciences, University of Kashmir, Srinagar 190006, India
*
*Corresponding author: Department of Zoology, Central University of Kashmir, Sonwar Campus, Srinagar 190004, India. E-mail: uzssummer2@gmail.com
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Summary

This study is an attempt to unravel the infection pattern of the Caryophyllaeid tapeworm, Adenoscolex oreini and its association with water quality, planktonic copepods and health traits of fish in a highly stressed lake. Prevalence differed significantly (P < 0·05) among different fish species with highest infection recorded in Schizothorax niger (% = 36·74) compared to Schizothorax esocinus (% = 15·7). Within-lake trophic gradient affected the infection pattern as prevalence of A. oreini was significantly higher (44·62%, P = 0·0001) at hypereutrophic site as compared to least eutrophic site (8·01%). The data suggest that spatial variation in the intensity of A. oreini corresponded to the variation in the abundance of planktonic copepods. The density of Cyclops scutifer was positively correlated with the prevalence of tapeworm. Results indicate that the health condition, which was reflected by condition factor and gonadosomatic index, was lower in parasitized fish, and there seems to be synergistic effect of eutrophication and parasitism on fish health. Linear regression coefficients showed that the health indices were significantly (P < 0·05) predicted by infection intensity. It is concluded from the results that within-lake pollution gradient affects the infection pattern, density of intermediate host and health attributes of fish, and therefore these finding will lead us to elucidate the predictors responsible for decline of health of fish in highly stressed water bodies.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Cambridge University Press 2017
Figure 0

Fig. 1. Map of the study sites in the Anchar lake.

Figure 1

Table 1. Brief description of investigated lake of northwest Himalayan Region

Figure 2

Table 2. Intra-lake variation of physicochemical features of water in Anchar Lake

Figure 3

Table 3. Variation of infection with reference to host species and study site. Comparative statistical analysis (χ2and one-way ANOVA) is also given

Figure 4

Table 4. Seasonal alteration of A. oreini in three fish species and copepod density in Anchar lake

Figure 5

Fig. 2. Scatter plot between water temperature and prevalence: (A) Schizothorax niger, (B) S. curvifrons, (C) S. esocinus.

Figure 6

Table 5. Generalized Linear Model showing the effect of site, month and length on the intensity of A. oreini and abundance of copepod

Figure 7

Fig. 3. Regression models showing the correlation between log (mean intensity) and log (GSI) in S. niger at Anchar Inlet (AI), Anchar Centre (AC), Anchar Ghat (AG) and Anchar Outlet (AO).

Figure 8

Fig. 4. Regression models showing the correlation between Log (Mean Intensity) and log (weight) in infected fish (pooled) at Anchar Inlet (AI), Anchar Centre (AC), Anchar Ghat (AG) and Anchar Outlet (AO).

Figure 9

Table 6. Variation of Gonadasomic index and condition factor in uninfected and infected fish in two native fish across four study sites

Figure 10

Table 7. Regression statistics of length–weight relationship (uninfected and infected fish) across different study sites

Figure 11

Table 8. Correlation between parasite burden and slope of regression (length–weight relationship)