RESUMO
An in silico comparative genomics approach was used to identify putative orthologs to genetically mapped genes from the mosquito, Aedes aegypti, in the Drosophila melanogaster and Anopheles gambiae genome databases. Comparative chromosome positions of 73 D. melanogaster orthologs indicated significant deviations from a random distribution across each of the five A. aegypti chromosomal regions, suggesting that some ancestral chromosome elements have been conserved. However, the two genomes also reflect extensive reshuffling within and between chromosomal regions. Comparative chromosome positions of A. gambiae orthologs indicate unequivocally that A. aegypti chromosome regions share extensive homology to the five A. gambiae chromosome arms. Whole-arm or near-whole-arm homology was contradicted with only two genes among the 75 A. aegypti genes for which orthologs to A. gambiae were identified. The two genomes contain large conserved chromosome segments that generally correspond to break/fusion events and a reciprocal translocation with extensive paracentric inversions evident within. Only very tightly linked genes are likely to retain conserved linear orders within chromosome segments. The D. melanogaster and A. gambiae genome databases therefore offer limited potential for comparative positional gene determinations among even closely related dipterans, indicating the necessity for additional genome sequencing projects with other dipteran species.
Assuntos
Aedes/genética , Anopheles/genética , Cromossomos/genética , Drosophila melanogaster/genética , Genoma , Animais , Mapeamento Cromossômico , DNA Complementar/genética , Bases de Dados Genéticas , Sintenia/genéticaRESUMO
Previous studies have confirmed a genetic basis for susceptibility of mosquitoes to Plasmodium parasites. Here we describe our efforts to characterize a bacterial artificial chromosome genomic library for the yellow fever mosquito, Aedes aegypti, and to identify BAC clones containing genetic markers that define quantitative trait loci (QTL) for Plasmodium gallinaceum susceptibility. This library (NDL) was prepared from the Ae. aegypti Liverpool strain and consists of 50 304 clones arrayed in 384-well microplates. We used PCR analysis with oligonucleotide primer pairs specific to 106 genetic markers (as sequence-tagged sites or STS) to screen the NDL library. Each STS identified between one and thirteen independent clones with an average of 3.3 clones. The average insert size was 122 kb and therefore the NDL library provides approximately 7.87-fold genome coverage. The availability of the NDL library should greatly facilitate physical mapping efforts, including positional cloning of QTL for traits of interest such as Plasmodium susceptibility and for whole genome sequence determination and assembly.
Assuntos
Aedes/genética , Aedes/parasitologia , Mapeamento Cromossômico , Cromossomos Artificiais Bacterianos/genética , Locos de Características Quantitativas/genética , Animais , Primers do DNA , Eletroforese em Gel de Campo Pulsado , Eletroporação , Biblioteca Gênica , Plasmodium/patogenicidade , Sitios de Sequências RotuladasRESUMO
A composite genetic linkage map for the yellow fever mosquito Aedes aegypti was constructed based on restriction fragment length polymorphism (RFLP), single nucleotide polymorphism (SNP) and single strand conformation polymorphism (SSCP) markers. The map consists of 146 marker loci distributed across 205 cM, and includes several morphological mutant marker loci. Most of the genetic markers are derived from random cDNAs or Ae. aegypti genes of known function. A number of markers are derived from random genomic DNAs, including several cloned RAPD-PCR fragments, and also several cDNAs from Drosophila melanogaster. Most of the random cDNAs (80.2%) have high BlastX sequence identities to known genes, with the majority of matches to genes from D. melanogaster. Access to sequence data for all markers will facilitate their continued development for use in high-throughput SNP marker analyses and also provides additional physical anchor points for an anticipated genome sequencing effort.
