Medical and Veterinary Entomology (2007), 21, 204–208

doi: 10.1111/j.1365-2915.2007.00677.x

S H O R T C O M M U N I C AT I O N

Using fluorescently labelled M13-tailed primers to isolate 45 novel microsatellite loci from the arboviral vector Culex tarsalis M . V E N K AT E S A N 1 , 2 , M . C . H A U E R 1 , 2 and J . L . R A S G O N 1 , 2 1

W. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University and 2Johns Hopkins Malaria Research Institute, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, U.S.A.

Abstract. Culex tarsalis Coquillett (Diptera: Culicidae) is a highly efficient arbovirus vector. Spatial and temporal heterogeneity have been observed in Cx tarsalis for phenotypic traits including autogeny, virus susceptibility and host preference. Genetic differences between populations may in part explain these observations. Using the M13-tailed primer method, we identified 45 novel polymorphic microsatellite markers from microsatellite-enriched Cx tarsalis genomic libraries. The M13-tailed primer method was more efficient in identifying useful loci than traditional screening by acrylamide gel electrophoresis. These markers will be useful for investigating genetic questions in this important vector mosquito. Key words. Culex tarsalis, disease vector, genetic marker, microsatellites, mosquito,

West Nile Virus.

Culex tarsalis Coquillett (Diptera: Culicidae) is an important North American arboviral vector of West Nile virus (WNV), western equine encephalitis virus (WEEV) and St. Louis encephalitis virus (SLEV) (Reeves & Milby, 1990; Goddard et al., 2002, 2003; Reisen, 2003). Spatial variation in the ability of wild Cx tarsalis populations to transmit WNV orally and vertically has been documented (Goddard et al., 2002, 2003). Several recent quantitative trait loci (QTL) studies have linked pathogen susceptibility in mosquito vectors to within-species genetic variation, such as in Aedes aegypti L. and dengue virus and Anopheles gambiae Giles and Plasmodium falciparum (GomezMachorro et al., 2004; Bennett et al., 2005; Menge et al. 2006). The contribution of genetic differences among Cx tarsalis populations to variations in arboviral susceptibility is currently unknown. We previously identified 12 Cx tarsalis microsatellites as part of an ongoing effort to develop markers suitable for genetic studies in this mosquito (Rasgon et al., 2006). Here, we report the use of an optimized marker screening process to identify 45 new polymorphic microsatellite loci in the Cx tarsalis genome. Together with previous work, this set of 57 markers provides a suite of tools that can be used to characterize genetic

structure and investigate relationships between genetic and phenotypic variation in Cx tarsalis. Wild adult Cx tarsalis were collected from Adams County, Nebraska using CDC light traps, placed into 100% ethanol and transported to the Johns Hopkins Bloomberg School of Public Health. Genomic DNA was extracted by salt extraction/ethanol precipitation as previously described (Rasgon & Scott, 2003). Construction of four Cx tarsalis microsatellite-enriched genomic libraries (AC, AG, CAG and ATG) has been described previously (Rasgon et al., 2006). From each library, we randomly picked and sequenced 10–30 clones. Plasmid DNA was isolated using Qiaprep columns (Qiagen, Valencia, CA, U.S.A.) and inserts sequenced using primer M13F on an ABI PRISM 3100 Avant Genetic Analyser with BigDye chemistry (Applied Biosystems, Foster City, CA, U.S.A.). Polymerase chain reaction (PCR) primers were designed using Primer3 ( http:// biotools.umassmed.edu/bioapps/primer3_www.cgi ). Primers were redesigned up to two times for loci that did not amplify consistently. Four microsatellite loci were PCR-amplified using previously described reaction mixtures and amplification conditions

Correspondence: Jason L. Rasgon, W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Bloomberg School of Public Health, Johns Hopkins University, Suite E5132, 615 N. Wolfe Street, Baltimore, Maryland 21205, U.S.A. Tel.: +1 410 502 2584; Fax: +1 410 955 0105; E-mail: [email protected]

204

© 2007 The Authors Journal compilation © 2007 The Royal Entomological Society

57 57

57 57 57

57 57

(AC)n

(AC)n

(AC)n

(AC)n

(AC)n

(AC)nAT(AC)n

(AC)n

(AC)n

(AC)n

(AC)n

(AC)n

(AC)n

(AC)n

(AG)n

(AG)n(TG)n

(AG)nGG(AG)nGG(AG)n

(AG)n

(AG)n

(AG)nAAA(AG)n

6-FAM

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

HEX

© 2007 The Authors Journal compilation © 2007 The Royal Entomological Society, Medical and Veterinary Entomology, 21, 204–208

M13

M13

56

57

57

57

57

53

57

57

57

57

57

56

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

F: 5′-ACTCACACCCGATTGTAGAG-′3 R: 5′-AGCCAGTCAGTCAGTCAGTG-′3 F: 5′-GAGCATTTTGCTGCAATTC-′3 R: 5′-CGATTTCGCGTGTGAGTT-′3 F: 5′-TCGCCTTACTTCCCACAT-′3 R: 5′-AGGACCCAACAACAGCAC-′3 F: 5′-CCATCACATTGAACATCACTT-′3 R: 5′-CGAGTTGCCGATAGAAGAT-′3 F: 5′-GCAGAGAAAATCGAGTGCATA-′3 R: 5′-TCCCAAATTAAGTTTACCCATG-′3 F: 5′-CCTACAAACCCGGTGAGAC-′3 R: 5′-GGGTAAGGGGGATTTCATC-′3 F: 5′-TTGGTAGACCCAGTGCAGAG-′3 R: 5′-CCCGTGATTCCCAAATTAAG-′3 F: 5′-TGCTTCTGCAACACCTCTTC-′3 R: 5′-TGACATCTCCTCCCGTCAG-′3 F: 5′-GTGAGACCTGGACGCTGAC-′3 R: 5′-GCGCAGTGGCAAAATTAAG-′3 F: 5′-CGCTAAACACACTCGCCTAAG-′3 R: 5′-TCCACCAGACCGTAAAGTGC-′3 F: 5′-TGAGCACGGGTGAGTTACAC-′3 R: 5′-CCAATCGACGGGAAATTACA-′3 F: 5′-CAACCCACAGATGAGAAAGAG-′3 R: 5′-AGCGGTCAGCAAAGTTGTC-′3 F: 5′-CCAGTGTCGAGTTATTGCAC-′3 R: 5′-CTTCTTCCGCTGTCAATGTC-′3 F: 5′-CGAAAGTAGCAACGGAATCTG-′3 R: 5′-CATTCCTTTGTTTCAGTGTGC-′3 F: 5′-CAGGGTGCCTTCATTCAC-′3 R: 5′-CCTCCCCATACAAAATACACA-′3 F: 5′-TTGCTCTCCTCTCTCTAATCTC-′3 R: 5′-AGGATGTCCTGGTTCAATC-′3 F: 5′-GGGGTTCTTCGTGAGTTC-′3 R: 5′-AGCAAGCGATTTCCCTAC-′3 F: 5′-AACCCCAGATTCTTAATGGC-′3 R: 5′-GGAATTGGCTCAAACAACC-′3 F: 5′-TGTTGTTCGTTCGTGTATGTAG-′3 R: 5′-TTACCCTTGTACCATTCATTTG-′3 F: 5′-CTCCTCTTTCCTTCTTCTCACC-′3 R: 5′-TTGTGGTGGTTTTTTAGTCCTG-′3 60

(AC)n

HEX

Population

Primers

Ta (° C)

CUTA6 DQ682664 CUTA101 DQ682665 CUTA105#7 DQ682666 CUTA109#7 DQ682667 CUTA119 DQ682668 CUTA122 DQ682669 CUTA212 DQ682670 CUTA214 DQ682671 CUTA216 DQ682672 CUTA218 DQ682673 CUTA220 DQ682674 CUTA221 DQ682675 CUTA226 DQ682676 CUTA229 DQ682677 CUTB6 DQ682678 CUTB12#1 DQ682679 CUTB101 DQ682680 CUTB112 DQ682681 CUTB118 DQ682682 CUTB119 DQ682683

Core repeat

5′ label

Locus

Table 1. List of identified polymorphic Culex tarsalis microsatellite loci. Locus names are followed by GenBank accession numbers.

16

16

16

17

17

18

18

15

16

18

16

20

18

15

15

18

15

18

16

16

n

10

10

7

8

13

17

8

19

6

9

7

5

8

7

5

6

13

9

5

13

No. of alleles 0.438 0.688 0.111 0.600 0.056 0.333 0.000 0.611 0.200 0.313 0.667 0.813 0.733 0.556 0.389 0.118 0.529 0.625 0.375 0.500

91−111 244−282 236−288 200−246 200−216 235−269 229−249 227−237 185−263 148−168 163−183 234−286 225−251 251−323 243−291 218−246 164−176 207−227 248−274

Ho

259−307

Size range

0.917

0.851

0.829

0.873

0.971

0.962

0.798

0.975

0.798

0.852

0.815

0.319

0.806

0.871

0.363

0.744

0.947

0.859

0.790

0.956

He

< 0.001

< 0.001

0.294

0.013

< 0.001

< 0.001

0.003

0.002

0.075

0.124

< 0.001

0.015

0.010

< 0.001

1.00

< 0.001

< 0.001

< 0.001

0.101

< 0.001

P

Microsatellites from Culex tarsalis 205

55 57

57 57

57 57

(AG)n

(AG)nAA(AG)n

(AC)n

(AG)n

(AG)n

(AG)n

(AG)n

(AG)nAA(AG)n

(AG)n

(AG)n

(AC)n

(AG)n

(AG)n

(ATG)nCTG(ATG)n

(ATG)n

(ATG)n

(CAG)n

(CAG)n

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

M13

57

57

57

57

57

57

57

57

57

57

59

57

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

Adams Cty, NE

F: 5′-AGTGGGGAGATTTGGAGTAG-′3 R: 5′-GGTCCTTGTAACGATTTCTGT-′3 F: 5′-AGCAGAAGTCCCGCACTC-′3 R: 5′-AGCAGCACGGTAAAAAACG-′3 F: 5′-AGGCTTCAACCACCTATCG-′3 R: 5′-GAACTCCGCTGGTCAGTC-′3 F: 5′-ACGAACGCGAAAGAAGAGAG-′3 R: 5′-CACACCCGATTGTAGAGTGC-′3 F: 5′-ATGCAAGAAGGCATCGTCA-′3 R: 5′-GCCTATCCATCAACCAACG-′3 F: 5′-CTAGGGTTGGATTAGATTAG-′3 R: 5′-TCGTAACAACAATCAGTAC-′3 F: 5′-ACCCACTGTTTGCGTATGAA-′3 R: 5′-ACACTCACACCACCTTGTGC-′3 F: 5′-TGTCGAGGTGAAACAACCAG-′3 R: 5′-CCGAACGAAAAGCAAAAGTC-′3 F: 5′-CGTGGGCAATAACGAACTTT-′3 R: 5′-AGTAACGGAACCCCAATTCA-′3 F: 5′-GCAGTAGCTGGAACGTGCT-′3 R: 5′-GCGCATAAAATACACAGCAAA-′3 F: 5′-TGCTGAGGCCGTTTTACC-′3 R: 5′-CCCTGGAAAAGCATCAAACT-′3 F: 5′-AACGAGCATTGTCCATTGTG-′3 R: 5′-CACATCCAGCAACTGTCC-′3 F: 5′-CGATATTTTGCTCCCACTTTG-′3 R: 5′-AACTCCTTCGGGCTACACTG-′3 F: 5′-CATCACCATCAATCGTTTCC-′3 R: 5′-GAAAACTTCCGGCACACAC-′3 F: 5′-GGAACCACAATCATCATAACC-′3 R: 5′-GCAACAAACGAATCTTAGAAAC-′3 F: 5′-GCGAACTTTGTGCTTCGAC-′3 R: 5′-ATCATCATCCTTCCCACCAG-′3 F: 5′-AGGCCATGCAACATCCTTAC-′3 R: 5′-CGACTTTATCTAGGCGCTCTC-′3 F: 5′-GTAGGTATTGGACGACTGTGTC-′3 R: 5′-GCACTACAACGGCAACAAT-′3 F: 5′-GGTCTTCTTTTCAGACAACCAC-′3 R: 5′-CGTTCATGTTGATGTTGAAGTT-′3 57

(AG)n

M13

Population

Primers

Ta (° C)

CUTB121 DQ682684 CUTB122 DQ682685 CUTB201 DQ682686 CUTB203 DQ682687 CUTB206 DQ682688 CUTB207 DQ682689 CUTB210 DQ682690 CUTB212 DQ682691 CUTB213 DQ682692 CUTB214 DQ682693 CUTB218 DQ682694 CUTB219 DQ682695 CUTB223 DQ682696 CUTB228 DQ682697 CUTC102 DQ682698 CUTC201 DQ682699 CUTC203 DQ682700 CUTD5#7 DQ682701 CUTD10 DQ682702

Core repeat

5′ label

Locus

Table 1. Continued.

15

18

16

16

18

16

16

16

16

16

16

18

16

14

15

16

15

17

16

n

5

3

9

4

8

11

7

9

15

9

12

6

5

7

12

11

8

7

9

No. of alleles 0.563 0.765 0.400 0.250 0.133 0.143 0.750 0.556 0.688 0.750 0.188 0.313 0.813 0.750 0.611 0.563 0.813 0.111 0.267

139−205 280−298 230−256 223−267 117−133 264−272 148−176 172−212 165−187 150−214 162−214 153−167 143−181 256−292 246−255 200−224 169−178 214−232

Ho

123−143

Size range

0.710

0.162

0.869

0.700

0.827

0.819

0.782

0.804

0.976

0.802

0.877

0.756

0.776

0.749

0.966

0.931

0.867

0.843

0.831

He

< 0.001

1.000

0.718

0.734

0.098

0.288

0.998

< 0.001

< 0.001

0.338

0.021

0.028

0.025

< 0.001

< 0.001

< 0.001

< 0.001

0.007

0.004

P

206 M. Venkatesan et al.

© 2007 The Authors Journal compilation © 2007 The Royal Entomological Society, Medical and Veterinary Entomology, 21, 204–208

1.000 0.125 57 (CAG)nCAA(CAG)n M13

Adams Cty, NE 57 (CAG)n M13

Adams Cty, NE (CAG)n M13

57

57 (CAG)nCAC(CAG)nCAA(CAG)n M13

Adams Cty, NE

60 (CAG)nCAA(CAG)n(CAA)n HEX

n, number of mosquitos assayed. M13, AGGGTTTTCCCAGTCACGACGTT tail attached to the 5′ end of the forward primer.

Adams Cty, NE

16

3

225−232

0.181

< 0.001 0.118 17

6

261−276

0.873

1.000 0.375 16

3

227−233

0.331

0.017 0.375 16

4

224−236

0.726

0.546 0.938

60 (CAG)nCAACAGCAA(CAG)n M13

Adams Cty, NE

16

9

124−155

0.833

1.000 0.290 0.250 117−142 4 Adams Cty, NE

F: 5′-CAGTTCCAGCAGCAGTCA-′3 R: 5′-CAGGTGATGGGGGTGTAG-′3 F: 5′-CGCCAGTAACCAGATTATGC-′3 R: 5′-GTTGTTGTGATTGTTGCTGTGT-′3 F: 5′-TATCCGGCAGCAGAACTTG-′3 R: 5′-ACAAGCACCACAGCAAACTG-′3 F: 5′-CCCACCACTCATCTCAACC-′3 R: 5′-TGCTGCTGAAGGATTTGC-′3 F: 5′-TTCTGTTGTTGGGATTGCTG-′3 R: 5′-GTCCGCACCCTGAATTGTA-′3 F: 5′-CAACGGTAAACAGCACGA-′3 R: 5′-GTTTTCATTCACAGCCCACA-′3

16

Population

CUTD102 DQ682703 CUTD104 DQ682704 CUTD203 DQ682708 CUTD206 DQ682705 CUTD211 DQ682706 CUTD213 DQ682707

Table 1. Continued.

Core repeat 5′ label Locus

Ta (° C)

Primers

n

No. of alleles

Size range

Ho

He

P

Microsatellites from Culex tarsalis

207

(Rasgon et al., 2006). Reliable amplification for each primer set was confirmed using 1% agarose gel electrophoresis on wildcaught individuals. Forward primers for these four loci were then 5′ labelled with fluorescent HEX or 6-FAM for PCR amplification and assessment of allele sizes on a capillary sequencer (described below). For the remaining 41 microsatellite loci, we used the M13tailed primer method (Boutin-Ganache et al., 2001) to label amplicons for visualization on the capillary sequencer. Forward primers were 5′-tailed with the 23-basepair M13 (uni-43) sequence (AGGGTTTTCCCAGTCACGACGTT), such that the entire forward primer would look like 5′-AGGGTTTTCCCAG TCACGACGTTXXXXXXXXXXXXXXXXXXXX-3′, where the Xs denote the microsatellite-specific primer sequence (Table 1). The PCR was conducted in 10 ␮L reactions containing 0.8 units Taq polymerase, 1.0 ␮L 10X ThermoPol buffer (New England Biolabs, Ipswich, MA, U.S.A.), 0.2 mm each dNTP, 1 ␮m each microsatellite-specific primer, 0.5 ␮m 5′fluorescently labelled M13 (uni-43) primer and 0.5 ␮L template DNA. The M13 (uni-43) primer was 5′-fluorescently tagged with HEX, 6-FAM or NED to facilitate multiplexing. Amplicons were amplified using a PTC-200 Peltier thermocycler (Biorad, Hercules, CA, U.S.A.) under the following reaction conditions: 95 °C for 5 min; 10 cycles of 94 °C for 30 s; a primer-specific annealing temperature (see Table 1) for 1 min and 72 °C for 30 s; 27 cycles of 94 °C for 30 s; 55 °C for 1 min, and 72 °C for 30 s, followed by a 10-min extension at 72 °C. Most primers amplified at an annealing temperature of 57 °C. Gradient PCR was used to determine optimal annealing temperatures for primers that failed to amplify at 57 °C. Mosquitoes from Adams County, NE (n = 15–20) were assayed for allelic variation on an ABI-3100 Avant capillary sequencer (Applied Biosystems). Allele sizes were automatically determined using GeneScan Version 3.7 with an internal ROX-500 size standard (Applied Biosystems). Deviations from Hardy–Weinberg expectation (HWE) were calculated with exact tests using arlequin software (Schneider et al., 2000). Linkage disequilibrium (LD) between all pairs of loci was calculated using GenePop (Raymond & Rousset, 1995) with a Bonferroni correction for multiple tests. We designed primers for 83 identified unique microsatellitecontaining sequences. Of these, 22 never amplified consistently despite primer redesign. Of the remaining 61 potential loci, 12 appeared to be multicopy and four were not polymorphic and were not investigated further. The remaining 45 loci were polymorphic. Allele number ranged between 3 and 20. Sixteen loci were in HWE. The remaining loci showed evidence of heterozygote deficiency, probably due to the presence of null alleles (Table 1). Significant linkage disequilibrium was detected between loci CUTB101 and CUTB219. We found the M13-tailed primer method to be a highly efficient protocol to isolate microsatellite markers from Cx tarsalis. Due to the expense of purchasing individually labelled primers for all putative loci, in our previous study we used acrylamide gel electrophoresis to identify promising markers prior to their resolution on the capillary sequencer (Rasgon et al., 2006). In this study, the use of fluorescently labelled M13-tailed primers allowed us to eliminate the acrylamide step and economically

© 2007 The Authors Journal compilation © 2007 The Royal Entomological Society, Medical and Veterinary Entomology, 21, 204–208

208

M. Venkatesan et al.

screen all primer sets directly on the capillary sequencer. At a fraction of the cost, we were able to generate almost four times as many usable markers in approximately one-third of the time required in our previous study. The tailed primer method facilitates sequencer multiplexing for economical marker resolution, as the fluorescent label can be changed at will. Although we did not do so in this report, it is also possible to use different primer tail sequences to conduct multiplexed PCR of multiple loci simultaneously (Missiaggia & Grattapaglia, 2006). The ecology and population dynamics of Cx tarsalis have been well studied (Reisen et al., 1992, 1995, 1996; Reisen & Lothrop, 1995), but genetic studies are lacking due to the absence of genetic markers and tools for this mosquito. In concert with our previous efforts, we have developed a suite of 57 microsatellite loci that can be used to investigate the genetics of Cx tarsalis. We anticipate that these markers will be highly useful for the medical entomology community for conducting population genetic and mapping studies (Black et al., 2002) in Cx tarsalis and possibly other Culex species.

Acknowledgements We thank Wayne Kramer for providing mosquito specimens, Catherine Westbrook for laboratory assistance and an anonymous reviewer for helpful comments on the manuscript. Funding was provided by the Johns Hopkins Malaria Research Institute (JLR) and National Institute of Environmental Health Sciences (NIEHS) Training Grant ES07141 (MV).

References Bennett, K.E., Flick, D., Fleming, K.H., Jochim, R., Beaty, B.J. & Black, W.C.I.V. (2005) Quantitative trait loci that control dengue-2 virus dissemination in the mosquito Aedes aegypti. Genetics, 170, 185–194. Black, W.C.I.V., Bennett, K.E., Gorrochotegui-Escalante, N. et al. (2002) Flavivirus susceptibility in Aedes aegypti. Archives of Medical Research, 33, 379–388. Boutin-Ganache, I., Raposo, M., Raymond, M. & Deschepper, C.F. (2001) M13-tailed primers improve the readability and usability of microsatellite analyses performed with two different allele-sizing methods. Biotechniques, 31, 25–28. Goddard, L.B., Roth, A.E., Reisen, W.K. & Scott, T.W. (2002) Vector competence of California mosquitoes for West Nile virus. Emerging Infectious Diseases, 8, 1385–1391. Goddard, L.B., Roth, A.E., Reisen, W.K. & Scott, T.W. (2003) Vertical transmission of West Nile virus by three California Culex

(Diptera: Culicidae) species. Journal of Medical Entomology, 40, 743–746. Gomez-Machorro, C., Bennett, K.E., del Lourdes Munoz, M. & Black, W.C.I.V. (2004) Quantitative trait loci affecting dengue midgut infection barriers in an advanced intercross line of Aedes aegypti. Insect Molecular Biology, 13, 637–648. Menge, D.M., Zhong, D., Guda, T., Gouagna, L., Githure, J., Beier, J. & Yan, G. (2006) Quantitative trait loci controlling refractoriness to Plasmodium falciparum in natural Anopheles gambiae mosquitoes from a malaria-endemic region in Western Kenya. Genetics, 173, 235–241. Missiaggia, A. & Grattapaglia, D. (2006) Plant microsatellite genotyping with 4-colour fluorescent detection using multiple-tailed primers. Genetics and Molecular Research, 5, 72–78. Rasgon, J.L. & Scott, T.W. (2003) Wolbachia and cytoplasmic incompatibility in the California Culex pipiens species complex: parameter estimates and infection dynamics in natural populations. Genetics, 165, 2029–2038. Rasgon, J.L., Venkatesan, M., Westbrook, C.J. & Hauer, M.C. (2006) Polymorphic microsatellite loci from the West Nile virus vector Culex tarsalis. Molecular Ecology Notes, 6, 680–682. Raymond, M. & Rousset, F. (1995) GenePop Version 1.2: population genetics software for exact tests and ecumenicism. Journal of Heredity, 86, 248–249. Reeves, W.C. & Milby, M.M. (1990) Natural infection in arthropod vectors. Epidemiology and Control of Mosquito-borne Arboviruses in California, 1943–1987 (ed. by W. C. Reeves), pp. 128–143. California Mosquito and Vector Control Association, Sacramento, CA. Reisen, W.K. (2003) Epidemiology of St. Louis encephalitis virus. Advances in Virus Research, 61, 139–183. Reisen, W.K., Hardy, J.L., Presser, S.B. & Chiles, R.E. (1996) Seasonal variation in the vector competence of Culex tarsalis (Diptera: Culicidae) from the Coachella Valley of California for western equine encephalomyelitis and St. Louis encephalitis viruses. Journal of Medical Entomology, 33, 433–437. Reisen, W.K. & Lothrop, H.D. (1995) Population ecology and dispersal of Culex tarsalis (Diptera: Culicidae) in the Coachella Valley of California. Journal of Medical Entomology, 32, 490–502. Reisen, W.K., Lothrop, H.D. & Hardy, J.L. (1995) Bionomics of Culex tarsalis (Diptera: Culicidae) in relation to arbovirus transmission in southeastern California. Journal of Medical Entomology, 32, 316–327. Reisen, W.K., Milby, M.M. & Meyer, R.P. (1992) Population dynamics of adult Culex mosquitoes (Diptera: Culicidae) along the Kern River, Kern County, California, in 1990. Journal of Medical Entomology, 29, 531–543. Schneider, S., Roessli, D. & Excoffier, L. (2000) arlequin: a software for population genetics data analysis, Version 2.000. Genetics and Biometry Laboratory. University of Geneva, Geneva. Accepted 20 January 2007 First published online 26 April 2007

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Oct 6, 2016 - 2.2 Building trees . ... Limitations: no model comparison (can't test for the 'best' tree, or the 'best' model of evolution); may be .... more efficient data reduction can be achieved using the bit-level coding of polymorphic sites ....

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languages such as Java, Pascal, or C++. A program written in a ...... If I say “the President went fishing,” I mean that George W. Bush went fishing. But if I say.

Using Dependancy Injection To Avoid Singletons
May 15, 2008 - Data data = this.server.retrieveData(params); ... } } When testing, you can create a mock Server with whatever expected behavior you need and ...

Introduction to phylogenetics using
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Using Actors to Implement Sequential Simulations - eCommons ...
tion system were built using different languages (C++, Erlang, and Java) and ...... Tiobe index. http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html,.

Using Psychophysical Methods to Understand ...
sented a visualization technique based on gradient ascent which generates a synthetic image that can maximally ac- tivate a unit in a deep network. Zhou et al. [42] proposed. Class Activation Maps (CAM) that can highlight the im- age regions that the