1999
DOI: 10.1038/sj.hdy.6885420
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Life cycle variation and the genetic structure of nematode populations

Abstract: Few data are available on population genetic structure in nematode species, and little of the available data allows direct comparison of the genetic structures of species having di erent life cycles. Here we use mtDNA sequence data to describe the genetic structure of a heterorhabditid nematode, and compare results to published data on other nematode species. Heterorhabditis marelatus is a parasite of soil-dwelling insects. Its life cycle and local ecology should result in small e ective population sizes and r… Show more

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Cited by 92 publications
(73 citation statements)
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“…We used mtND4 which exhibits less conservation sites than COX-1 [7] and is often suggested for prospecting closely related species [5,29]. The average nucleotide diversity for S. spiculoptera morph spiculoptera and S. spiculoptera morph mathevossiani together is consistent with values computed for various Haemonchidae species such as Ostertagia ostertagi, Haemonchus contortus, Haemonchus placei and Teladorsagia circumcincta from domestic hosts and Mazamastrongylus odocoilei from white-tailed deer (Odocoileus virginianus) [3,6]. We suggest that the average nucleotide diversity difference between the two morphs may be due to the low sampling of mathevossiani in light of its low occurrence [11].…”
Section: Discussionsupporting
confidence: 52%
“…We used mtND4 which exhibits less conservation sites than COX-1 [7] and is often suggested for prospecting closely related species [5,29]. The average nucleotide diversity for S. spiculoptera morph spiculoptera and S. spiculoptera morph mathevossiani together is consistent with values computed for various Haemonchidae species such as Ostertagia ostertagi, Haemonchus contortus, Haemonchus placei and Teladorsagia circumcincta from domestic hosts and Mazamastrongylus odocoilei from white-tailed deer (Odocoileus virginianus) [3,6]. We suggest that the average nucleotide diversity difference between the two morphs may be due to the low sampling of mathevossiani in light of its low occurrence [11].…”
Section: Discussionsupporting
confidence: 52%
“…In populations of Teleodorsagia from sheep, for example, 98% of genetic variation occurs within infrapopulations [68], a result consistent with other studies of trichostrongyloid nematodes [69,70]. Even in parasites which have a life cycle predisposed to selfreinfection, such as Strongyloides ratii, less than 5% of genetic variation is distributed among infrapopulations in definitive hosts [71].…”
Section: Fragmentation Among Hostssupporting
confidence: 84%
“…For the nematode parasites of vertebrates, effective sizes and rates of gene flow are largely affected by host mobility and parasite life history traits (Blouin et al, 1995(Blouin et al, , 1999. So far, most researches related to nematode parasite focus on nematodes associated tightly with human activities, such as parasites of humans, domestic animals, and they show high genetic diversity within populations, but low differentiation among locations, indicating high levels gene flow among populations (Blouin et al, 1992(Blouin et al, , 1995(Blouin et al, , 1999Hawdon et al, 2001). For example, the trichostrongylid parasites of sheep and cattle have little genetic structure, consistent with high gene flow among populations, where extensive host movement results in large Ne (Blouin et al, 1995).…”
Section: Introductionmentioning
confidence: 99%
“…breeding) of the populations (Ne) and the rates of gene flow among them (Blouin et al, 1995;Hawdon et al, 2001). For the nematode parasites of vertebrates, effective sizes and rates of gene flow are largely affected by host mobility and parasite life history traits (Blouin et al, 1995(Blouin et al, , 1999. So far, most researches related to nematode parasite focus on nematodes associated tightly with human activities, such as parasites of humans, domestic animals, and they show high genetic diversity within populations, but low differentiation among locations, indicating high levels gene flow among populations (Blouin et al, 1992(Blouin et al, , 1995(Blouin et al, , 1999Hawdon et al, 2001).…”
Section: Introductionmentioning
confidence: 99%