1995
DOI: 10.1017/s0031182000064660
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The host-parasite relationships in pyridoxine (vitamin B6) deficient cotton rats infected with Litomosoides carinii (Nematoda: Filaroidea)

Abstract: This paper demonstrates that the establishment and growth of the filarial nematode parasite, Litomosoides carinii, is reduced in pyridoxine-deficient cotton rats. Young cotton rats were assigned to one of three dietary: vitamin B6-deficient cotton rats (B6-AL) were fed a pyridoxine-free diet ad libitum; pair-fed controls (B6 + PF) were fed the same amount of pyridoxine-free diet as animals in the deficient group and given daily oral supplements of 100 micrograms pyridoxine; and pyridoxine-sufficient controls (… Show more

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Cited by 18 publications
(20 citation statements)
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“…Further, was not sensitive to the mean viral count or sample size. This lack of sensitivity to the mean is in contrast to previous descriptions of macroparasite load heterogeneity across wild organisms in which it was found that the negative binomial parameter ( k ) was sensitive to mean parasite burden [33]. However, given that parameter estimation is an imprecise exercise requiring very large sample sizes, significant problems have been identified with this way of measuring aggregation across study populations [27].…”
Section: Discussionmentioning
confidence: 57%
“…Further, was not sensitive to the mean viral count or sample size. This lack of sensitivity to the mean is in contrast to previous descriptions of macroparasite load heterogeneity across wild organisms in which it was found that the negative binomial parameter ( k ) was sensitive to mean parasite burden [33]. However, given that parameter estimation is an imprecise exercise requiring very large sample sizes, significant problems have been identified with this way of measuring aggregation across study populations [27].…”
Section: Discussionmentioning
confidence: 57%
“…Parasite abundance data are often overdispersed relative to what is expected from a Poisson distribution, therefore a negative binomial distribution is often used [33], [34]. In addition, it is fairly frequent with a higher proportion of zeros than expected even from a negative binomial distribution [34], warranting the use of zero-inflated models [35].…”
Section: Methodsmentioning
confidence: 99%
“…Many studies have been carried out in this area in order to develop our understanding of what causes heterogeneity in the distribution of macroparasites within a host population [68]. Parasite aggregation in the wild is often complex, in macro-parasitic infections the majority of hosts are observed harbouring a low number of parasites with a minority of hosts harbouring a large number [69]. Such skewed aggregations have been shown to follow a negative binomial distribution [66,67,69].…”
Section: Discussionmentioning
confidence: 99%
“…Parasite aggregation in the wild is often complex, in macro-parasitic infections the majority of hosts are observed harbouring a low number of parasites with a minority of hosts harbouring a large number [69]. Such skewed aggregations have been shown to follow a negative binomial distribution [66,67,69]. The negative binomial distribution, (defined as s 2 = m + m 2 /k , where s 2 and m are the variance and mean respectively) quantifies the (inverse) degree of aggregation via the parameter k [70] such that for small k parasite aggregation is increased, whereas for large k aggregation decreases.…”
Section: Discussionmentioning
confidence: 99%