title: A de novo expression profiling of Anopheles funestus, malaria vector in Africa, using 454 pyrosequencing.
abstract: BACKGROUND
  Anopheles funestus is one of the major malaria vectors in Africa and yet there are few genomic tools available for this species compared to An. gambiae. To start to close this knowledge gap, we sequenced the An. funestus transcriptome using cDNA libraries developed from a pyrethroid resistant laboratory strain and a pyrethroid susceptible field strain from Mali.
  
  
  RESULTS
  Using a pool of life stages (pupae, larvae, adults: females and males) for each strain, 454 sequencing generated 375,619 reads (average length of 182 bp). De novo assembly generated 18,103 contigs with average length of 253 bp. The average depth of coverage of these contigs was 8.3. In total 20.8% of all reads were novel when compared to reference databases. The sequencing of the field strain generated 204,758 reads compared to 170,861 from the insecticide resistant laboratory strain. The contigs most differentially represented in the resistant strain belong to the P450 gene family and cuticular genes which correlates with previous studies implicating both of these gene families in pyrethroid resistance. qPCR carried out on six contigs indicates that these ESTs could be suitable for gene expression studies such as microarray. 31,000 sites were estimated to contain Single Nucleotide Polymorphisms (SNPs) and analysis of SNPs from 20 contigs suggested that most of these SNPs are likely to be true SNPs. Gene conservation analysis confirmed the close phylogenetic relationship between An. funestus and An. gambiae.
  
  
  CONCLUSIONS
  This study represents a significant advance for the genetics and genomics of An. funestus since it provides an extensive set of both Expressed Sequence Tags (ESTs) and SNPs which can be readily adopted for the design of new genomic tools such as microarray or SNP platforms.
authors.affiliation: University of Liverpool, School of Biological Sciences, Cornwall House, United Kingdom.
authors.forename: Richard
authors.initials: R
authors.lastname: Gregory
authors.forename: Alistair C
authors.initials: AC
authors.lastname: Darby
authors.forename: Helen
authors.initials: H
authors.lastname: Irving
authors.forename: Mamadou B
authors.initials: MB
authors.lastname: Coulibaly
authors.forename: Margaret
authors.initials: M
authors.lastname: Hughes
authors.forename: Lizette L
authors.initials: LL
authors.lastname: Koekemoer
authors.forename: Maureen
authors.initials: M
authors.lastname: Coetzee
authors.forename: Hilary
authors.initials: H
authors.lastname: Ranson
authors.forename: Janet
authors.initials: J
authors.lastname: Hemingway
authors.forename: Neil
authors.initials: N
authors.lastname: Hall
authors.forename: Charles S
authors.initials: CS
authors.lastname: Wondji
mesh_terms: D000349:Africa; D000818:Animals; D000852:Anopheles / Q000235:genetics*; D016000:Cluster Analysis; D004199:Disease Vectors; D004351:Drug Resistance / Q000235:genetics; D005260:Female; D020869:Gene Expression Profiling / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods; D008018:Life Cycle Stages / Q000235:genetics / Q000502:physiology; D008288:Malaria / Q000469:parasitology* / Q000635:transmission; D008297:Male; D017422:Sequence Analysis, DNA / Q000379:methods*