Genetic structure of Bemisia tabaci Med populations from home-range countries, inferred by nuclear and cytoplasmic markers: impact on the distribution of the insecticide resistance genes

2014 ◽  
Vol 70 (10) ◽  
pp. 1477-1491 ◽  
Author(s):  
Nathalie Gauthier ◽  
Cécile Clouet ◽  
Andreas Perrakis ◽  
Despoina Kapantaidaki ◽  
Michel Peterschmitt ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Home Range ◽  
Insecticide Resistance ◽  
Bemisia Tabaci ◽  
Resistance Genes

Modelling the interactions between phenology and insecticide resistance genes in the codling mothCydia pomonella

2004 ◽  
Vol 61 (1) ◽  
pp. 53-67 ◽  
Author(s):  
Thomas Boivin ◽  
Jo�l Chad?uf ◽  
Jean-Charles Bouvier ◽  
Dominique Beslay ◽  
Beno�t Sauphanor
Keyword(s):  
Insecticide Resistance ◽  
Resistance Genes

scholarly journals Genetic Structure of Field Populations of Begomoviruses and of Their Vector Bemisia tabaci in Pakistan

2003 ◽  
Vol 93 (11) ◽  
pp. 1422-1429 ◽  
Author(s):  
Belén Simón ◽  
José Luis Cenis ◽  
Francisco Beitia ◽  
Saif Khalid ◽  
Ignacio M. Moreno ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Bemisia Tabaci ◽  
Random Amplified Polymorphic Dna ◽  
Southeast Asian ◽  
Coi Gene ◽  
Cotton Leaf ◽  
Reading Frame ◽  
Genetic Lineages ◽  
The Family ◽  
Whitefly Vector

The genetic structure of field populations of begomoviruses and their whitefly vector Bemisia tabaci in Pakistan was analyzed. Begomoviruses and B. tabaci populations were sampled from different crops and weeds in different locations in Punjab and Sindh provinces, in areas where cotton leaf curl disease (CLCuD) occurs or does not occur. Phylogenetic analysis based on nucleotide sequences of the intergenic region in the viral DNA-A provided evidence of two clusters of isolates: viruses isolated from species in the family Malvaceae, and viruses isolated from other dicotyledon families. Analysis of the capsid protein (CP) open reading frame grouped isolates into three geographical clusters, corresponding to isolates collected in Punjab, Sindh, or both provinces. Random amplified polymorphic DNA analyses of the B. tabaci population showed that intrapopulation diversity was high at both the local and regional scales. Sequence analysis of the mitocondrial cytochrome oxydase I (mt COI) gene showed that the B. tabaci population was structured into at least three genetic lineages corresponding to the previously described Indian, Southeast Asian, and Mediterranean-African clades. The Indian clade was present only in Punjab, the Mediterranean-African only in Sindh, and the Southeast Asian in both provinces. B. tabaci haplotypes of the Indian clade were found only in the Punjab, where CLCuD occurs. Hence, the geographical distribution of virus and vector genotypes may be correlated, because similar phylogenetic relationships were detected for the viral CP and the vector mt COI genes.

scholarly journals A differential expression of pyrethroid resistance genes in the malaria vector Anopheles funestus across Uganda is associated with patterns of gene flow

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0240743
Author(s):  
Maurice Marcel Sandeu ◽  
Charles Mulamba ◽  
Gareth D. Weedall ◽  
Charles S. Wondji
Keyword(s):  
Population Structure ◽  
Gene Flow ◽  
Genetic Structure ◽  
Genetic Differentiation ◽  
Insecticide Resistance ◽  
Pyrethroid Resistance ◽  
Anopheles Funestus ◽  
Metabolic Resistance ◽  
Transcription Analysis ◽  
Genome Wide

Background Insecticide resistance is challenging the effectiveness of insecticide-based control interventions to reduce malaria burden in Africa. Understanding the molecular basis of insecticides resistance and patterns of gene flow in major malaria vectors such as Anopheles funestus are important steps for designing effective resistance management strategies. Here, we investigated the association between patterns of genetic structure and expression profiles of genes involved in the pyrethroid resistance in An. funestus across Uganda and neighboring Kenya. Methods Blood-fed mosquitoes An. funestus were collected across the four localities in Uganda and neighboring Kenya. A Microarray-based genome-wide transcription analysis was performed to identify the set of genes associated with permethrin resistance. 17 microsatellites markers were genotyped and used to establish patterns of genetic differentiation. Results Microarray-based genome-wide transcription profiling of pyrethroid resistance in four locations across Uganda (Arua, Bulambuli, Lira, and Tororo) and Kenya (Kisumu) revealed that resistance was mainly driven by metabolic resistance. The most commonly up-regulated genes in pyrethroid resistance mosquitoes include cytochrome P450s (CYP9K1, CYP6M7, CYP4H18, CYP4H17, CYP4C36). However, expression levels of key genes vary geographically such as the P450 CYP6M7 [Fold-change (FC) = 115.8 (Arua) vs 24.05 (Tororo) and 16.9 (Kisumu)]. In addition, several genes from other families were also over-expressed including Glutathione S-transferases (GSTs), carboxylesterases, trypsin, glycogenin, and nucleotide binding protein which probably contribute to insecticide resistance across Uganda and Kenya. Genotyping of 17 microsatellite loci in the five locations provided evidence that a geographical shift in the resistance mechanisms could be associated with patterns of population structure throughout East Africa. Genetic and population structure analyses indicated significant genetic differentiation between Arua and other localities (FST>0.03) and revealed a barrier to gene flow between Arua and other areas, possibly associated with Rift Valley. Conclusion The correlation between patterns of genetic structure and variation in gene expression could be used to inform future interventions especially as new insecticides are gradually introduced.

Population structure and dynamics of insecticide resistance genes in Culex pipiens populations from Italy

Heredity ◽  
1998 ◽  
Vol 81 (3) ◽  
pp. 342-348 ◽  
Author(s):  
Francesco Silvestrini ◽  
Carlo Severini ◽  
Valeria di Pardo ◽  
Roberto Romi ◽  
Elvira de Matthaeis ◽  
...  
Keyword(s):  
Population Structure ◽  
Insecticide Resistance ◽  
Resistance Genes ◽  
Culex Pipiens ◽  
Structure And Dynamics ◽  
Population Structure And Dynamics
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