| Literature DB >> 27067139 |
Carina Zittra1, Eva Flechl1, Michael Kothmayer1, Simon Vitecek2, Heidemarie Rossiter3, Thomas Zechmeister4, Hans-Peter Fuehrer5.
Abstract
BACKGROUND: Culex pipiens complex taxa differ in behaviour, ecophysiology and epidemiologic importance. Despite their epidemiologic significance, information on genetic diversity, occurrence and seasonal and spatial distribution patterns of the Cx. pipiens complex is still insufficient. Assessment of seasonal and spatial distribution patterns of Culex pipiens forms and their congener Cx. torrentium is crucial for the understanding of their vector-pathogen dynamics.Entities:
Keywords: Acetylcholinesterase (ACE gene); Autecology; CQ11; Diversity; Mosquito; Vector
Mesh:
Year: 2016 PMID: 27067139 PMCID: PMC4828795 DOI: 10.1186/s13071-016-1495-4
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Diptera-specific PCR primers designed in this study
| Specifity | Genetic marker | Primer | Sequences of primer (5′–3′) | Amplicon size |
|---|---|---|---|---|
| Diptera | COI | H15CuliCOIFw | AGCCATTTAATCGCGACAA | 750 |
| H15CuliCOIRv | GGATGTCCAAAAAATCAAAATAAATGTT |
Environmental parameters tested using PERMANOVA based on distance matrices (adonis(): ‘vegan’ package, Oksanen et al. [39])
| Ecological parameter | Df | SumsOfSqs | MeanSqs | F.Model | R2 | Pr(>F) |
|---|---|---|---|---|---|---|
| Humidity | 1 | 0.2248 | 0.22478 | 41.529 | 0.06851 | 0.066 |
| Precipitation duration | 1 | 0.3366 | 0.33657 | 62.182 | 0.10258 | 0.023* |
| Amount of precipitation | 1 | 0.1949 | 0.19489 | 36.007 | 0.05940 | 0.078 |
| Air temperature | 1 | 0.5645 | 0.56455 | 104.302 | 0.17207 | 0.007** |
| Sunlight duration | 1 | 0.4238 | 0.42382 | 78.301 | 0.12917 | 0.009** |
| Deciduous forest cover | 1 | 0.1795 | 0.17945 | 33.154 | 0.05469 | 0.094 |
| Green urban areas | 1 | 0.1080 | 0.10797 | 19.949 | 0.03291 | 0.187 |
| Danube water level | 1 | 0.0325 | 0.03252 | 0.6008 | 0.00991 | 0.576 |
| Humidity:Danube water level | 1 | 0.0839 | 0.08393 | 15.506 | 0.02558 | 0.268 |
| Precipitation duration:Danube waterlevel | 1 | 0.0662 | 0.06617 | 12.225 | 0.02017 | 0.318 |
| Amount of precipitation:Danube water level | 1 | 0.4038 | 0.40379 | 74.601 | 0.12307 | 0.020* |
| Air temperature:Danube water levl | 1 | 0.1570 | 0.15703 | 29.011 | 0.04786 | 0.102 |
| Sunshine duration:Danube water level | 1 | 0.1186 | 0.11865 | 21.920 | 0.03616 | 0.156 |
| Deciduous forest cover:Danube water level | 1 | 0.1394 | 0.13938 | 25.751 | 0.04248 | 0.135 |
| Green urban areas:Danube water level | 1 | 0.0310 | 0.03097 | 0.5722 | 0.00944 | 0.588 |
| Residuals | 4 | 0.2165 | 0.05413 | 0.06599 | ||
| Total | 19 | 32.810 | 100.000 |
Asterisks indicate significant effects of certain environmental parameters (*, P ≤ 0.05; **, P ≤ 0.01)
Fig. 1Configuration of spatial and temporal fluctuations of Culex spp. communities in eastern Austria in a two dimensional NMDS representation of Bray-Curtis distances. Isolines represent air temperature [°C × 10−1] variability throughout the sampling period modelled in ordination space using a generalized additive modelling approach as implemented in ordisurf(), deviance in ordination space explained = 44.9 %; R2 = <0.01
Fig. 2Configuration of spatial and temporal fluctuations of Culex spp. communities in eastern Austria in a two dimensional NMDS representation of Bray-Curtis distances. Isolines represent sunshine duration variability throughout the sampling period modelled in ordination space using a generalized additive modelling approach as implemented in ordisurf(), deviance in ordination space explained = 25.7 %; R2 = <0.01