Urban population genetics of slum-dwelling rats (Rattus norvegicus) in Salvador, Brazil
| Autor: | Brittney Kajdacsi, Julia E. Brown, Chaz Hyseni, Helena Farias, James E. Childs, Adalgisa Caccone, Federico Costa, Fleur Helena Porter, Gorete Rodrigues, Albert I. Ko, Mitermayer G. Reis |
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| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Gene Flow
Population Population genetics Biology Disease Vectors Population density Article Poverty Areas Genetic variation Genetics Animals education Ecology Evolution Behavior and Systematics Population Density education.field_of_study Genetic diversity Ecology Genetic Variation Bayes Theorem Population ecology Rats Urban ecology Genetics Population Genetic structure Pest Control Brazil Microsatellite Repeats |
| Popis: | Throughout the developing world, urban centres with sprawling slum settlements are rapidly expanding and invading previously forested ecosystems. Slum communities are characterized by untended refuse, open sewers and overgrown vegetation, which promote rodent infestation. Norway rats (Rattus norvegicus) are reservoirs for epidemic transmission of many zoonotic pathogens of public health importance. Understanding the population ecology of R. norvegicus is essential to formulate effective rodent control strategies, as this knowledge aids estimation of the temporal stability and spatial connectivity of populations. We screened for genetic variation, characterized the population genetic structure and evaluated the extent and patterns of gene flow in the urban landscape using 17 microsatellite loci in 146 rats from nine sites in the city of Salvador, Brazil. These sites were divided between three neighbourhoods within the city spaced an average of 2.7 km apart. Surprisingly, we detected very little relatedness among animals trapped at the same site and found high levels of genetic diversity, as well as structuring across small geographical distances. Most F(ST) comparisons among sites were statistically significant, including sites |
| Databáze: | OpenAIRE |
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