Literature DB >> 20085826

Hydrographic network structure and population genetic differentiation in a vector of fasciolosis, Galba truncatula.

S Hurtrez-Boussès1, J-E Hurtrez, H Turpin, C Durand, P Durand, T De Meeüs, C Meunier, F Renaud.   

Abstract

We report a preliminary analysis on the relationships between drainage basin structure and genetic structure of populations of the European vector of fasciolosis, Galba truncatula. In the study area, 251 snails belonging to 12 populations were collected along different ditches of a same river network. Each snail was genotyped at six variable microsatellite loci. Our results show that all sample sites are characterized by a low level of polymorphism and a very high and significant heterozygote deficiency. Our data reveal a significant genetic differentiation, even at a small scale, and failed to delimit clear patterns of isolation by euclidian distance. Our study shows that genetic differentiation significantly increases with hydrographic distance along the streams (p<0.002), in consistence with the hypothesis that dispersion along the stream is dependent on the direction of water flow. This study shows that relationships can exist between the organization of the hydrological network and population biology of a disease vector, which has strong potential applications to drainage network management issues.

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Year:  2010        PMID: 20085826     DOI: 10.1016/j.meegid.2010.01.005

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  3 in total

1.  Genetic structure and diversity of Nodularia douglasiae (Bivalvia: Unionida) from the middle and lower Yangtze River drainage.

Authors:  Xiongjun Liu; Yanling Cao; Taotao Xue; Ruiwen Wu; Yu Zhou; Chunhua Zhou; David T Zanatta; Shan Ouyang; Xiaoping Wu
Journal:  PLoS One       Date:  2017-12-20       Impact factor: 3.240

2.  First report of Fasciola larva infection in Galba truncatula (Müller, 1774) (Gastropoda, Lymnaeidae) occurring in the natural environment in Hokkaido, Japan.

Authors:  Yuma Ohari; Kei Hayashi; Uday Kumar Mohanta; Yasuhiro Kuwahara; Tadashi Itagaki
Journal:  J Vet Med Sci       Date:  2017-07-13       Impact factor: 1.267

3.  Population genetic structure of Bellamya aeruginosa (Mollusca: Gastropoda: Viviparidae) in China: weak divergence across large geographic distances.

Authors:  Qian H Gu; Martin Husemann; Baoqing Ding; Zhi Luo; Bang X Xiong
Journal:  Ecol Evol       Date:  2015-10-13       Impact factor: 2.912

  3 in total

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