Hostname: page-component-74656f9884-rdgjk Total loading time: 0 Render date: 2026-11-07T04:49:59.102Z Has data issue: false hasContentIssue false

Regulation of Anguillicola crassus (Nematoda) infrapopulations in their definitive host, the European eel, Anguilla anguilla

Published online by Cambridge University Press:  22 October 2008

G. FAZIO*
Affiliation:
Laboratoire de Biologie et d'Écologie Tropicale et Méditerranéenne, UMR 5244 CNRS-EPHE-UPVD, Université de Perpignan, 52 avenue Paul Alduy, 66860 Perpignan Cedex, France
P. SASAL
Affiliation:
Laboratoire de Biologie et d'Écologie Tropicale et Méditerranéenne, UMR 5244 CNRS-EPHE-UPVD, Université de Perpignan, 52 avenue Paul Alduy, 66860 Perpignan Cedex, France
C. DA SILVA
Affiliation:
Laboratoire de Biologie et d'Écologie Tropicale et Méditerranéenne, UMR 5244 CNRS-EPHE-UPVD, Université de Perpignan, 52 avenue Paul Alduy, 66860 Perpignan Cedex, France
B. FUMET
Affiliation:
Laboratoire de Biologie et d'Écologie Tropicale et Méditerranéenne, UMR 5244 CNRS-EPHE-UPVD, Université de Perpignan, 52 avenue Paul Alduy, 66860 Perpignan Cedex, France
J. BOISSIER
Affiliation:
Laboratoire de Biologie et d'Écologie Tropicale et Méditerranéenne, UMR 5244 CNRS-EPHE-UPVD, Université de Perpignan, 52 avenue Paul Alduy, 66860 Perpignan Cedex, France
R. LECOMTE-FINIGER
Affiliation:
Laboratoire de Biologie et d'Écologie Tropicale et Méditerranéenne, UMR 5244 CNRS-EPHE-UPVD, Université de Perpignan, 52 avenue Paul Alduy, 66860 Perpignan Cedex, France
H. MONÉ
Affiliation:
Laboratoire de Biologie et d'Écologie Tropicale et Méditerranéenne, UMR 5244 CNRS-EPHE-UPVD, Université de Perpignan, 52 avenue Paul Alduy, 66860 Perpignan Cedex, France
*
*Corresponding author: Tel: +33 (0) 4 68 66 20 50. Fax: +33 (0) 4 68 66 22 81. E-mail: fazio@univ-perp.fr
Rights & Permissions [Opens in a new window]

Summary

The parasitic nematode Anguillicola crassus was recently introduced into populations of the European eel, Anguilla anguilla. We investigated, under experimental conditions, the regulation of A. crassus infrapopulations. We tested the effects of (1) the resource-limited habitat of the parasite and (2) the coexistence of several developmental stages in its niche (the swim-bladder) on the composition of the infrapopulations. The results revealed that the respective effects of these factors differed substantially during the course of the infection. Third-stage larvae (L3s) establishment would not be constrained by the size of the swim-bladder. Their moult to fourth-stage larvae (L4s) would be accelerated as the number of L3s increased. The moulting time of L4s to adults would be reduced by males and would be constrained by the size of the swim-bladder. However, the moult of L4s to adults and their further development would be synchronized with those of the opposite sex. At the time of mating, the number of males and the body weight of adults would depend on the size of the swim-bladder. Soon after the laying of eggs, the developmental constraint on the late L3s would decrease. When adults die, constraints would cease and late larval stages would moult to become adults.

Information

Type
Research Article
Copyright
Copyright © 2008 Cambridge University Press
Figure 0

Table 1. Description of the dependent variables, their distribution, the link function used for the model structure and the tested predictors, for each of the two analyses(‘niche’ corresponds to total length of eel; third-stage larvae (‘L3s’), fourth-stage larvae (‘L4s’), ‘males’ and ‘females’ correspond to the number of recovered parasites of each of these stages/sexes; second-stage larvae (‘L2s’) corresponds to the presence/absence of these larvae in the swim-bladder.)

Figure 1

Table 2. Mean percentage recovery of Anguillicola crassus±standard deviation (minimum and maximum percentage recoveries) followed by the number of eels studied

Figure 2

Fig. 1. Developmental dynamics of Anguillicola crassus in artificially infected European eels. The figure shows the mean number±standard deviation (s.d.) of recovered parasites with respect to the developmental stage and the sex when adults (third-stage larvae (L3s), fourth-stage larvae (L4s), males, females) and the percentage of eels where at least 1 couple of adults has reproduced (second-stage larvae (L2s)), for each duration of infection. wpi, week post-infection.

Figure 3

Fig. 2. Number of recovered Anguillicola crassus fourth-stage larvae (L4s) in relation to the number of recovered third-stage larvae (L3s) in swim-bladders of artificially infected European eels, 2 weeks after infection. Data modelling (fit line: distance weighted least squares) suggests that the critical value of established L3s necessary to find at least 1 L4 would be approximately 14 (dotted line).

Figure 4

Table 3. Mean infrapopulational biomass and body weight of male and female Anguillicola crassus per artificially infected eel(wpi, week post-infection; inf. biom., infrapopulational biomass; s.d., standard deviation; min-max, minimum and maximum recorded values.)

Figure 5

Table 4. Effect of the size of the niche on Anguillicola crassus infrapopulations(Generalized linear models were performed independently for each dependent variable, at each of the 4 durations of infection. Models were built assuming (i) a Poisson distribution (link function: log) for the third-stage larvae (‘L3s’), fourth-stage larvae (‘L4s’), ‘males’ and ‘females’ dependent variables, (ii) a Normal distribution (link function: log) for the ‘body weight of males’ and the ‘body weight of females’ dependent variables and (iii) a Binomial distribution (link function: logit) for the second-stage larvae (‘L2s’) dependent variable (response codes: 1=presence of L2s and 0=absence of L2s). Only significant (P<0·01) predictor, except constant, is given. wpi, week post-infection; S.E., standard error; d.f., degree of freedom; ‘niche’ corresponds to total length of eel; ‘L3s’, ‘L4s’, ‘males’ and ‘females’ correspond to the number of recovered parasites of each of these stages/sexes; ‘L2s’ corresponds to the presence/absence of these larvae in the swim-bladder.)

Figure 6

Table 5. Effect of the number of Anguillicola crassus of a given stage/sex on infrapopulations(Generalized linear models were performed independently for each dependent variable at each of the 4 durations of infection, using a forward stepwise procedure (P-enter value<0·01 and P-remove value<0·05). Models were built assuming (i) a Poisson distribution (link function: log) for the third-stage larvae (‘L3s’), fourth-stage larvae (‘L4s’), ‘males’ and ‘females’ dependent variables, (ii) a Normal distribution (link function: log) for the ‘body weight of males’ and the ‘body weight of females’ dependent variables and (iii) a Binomial distribution (link function: logit) for the second-stage larvae (‘L2s’) dependent variable (response codes: 1=presence of L2s and 0=absence of L2s). Only significant (P<0·01) predictors, except constant, are given and presented with respect to their importance in the dependent variable explanation (see Wald statistic values). wpi, weak post-infection; s.e., standard error; d.f., degree of freedom; ‘L3s’, ‘L4s’, ‘males’ and ‘females’ correspond to the number of recovered parasites of each of these stages/sexes; ‘L2s’ corresponds to the presence/absence of these larvae in the swim-bladder.)