Toward a catalog for the transcripts and proteins (sialome) from the salivary gland of the malaria vector Anopheles gambiae.

Hundreds of Anopheles gambiae salivary gland cDNA library clones have been sequenced. A cluster analysis based on sequence similarity at e(-60) grouped the 691 sequences into 251 different clusters that code for proteins with putative secretory, housekeeping, or unknown functions. Among the housekeeping cDNAs, we found sequences predicted to code for novel thioredoxin, tetraspanin, hemopexin, heat shock protein, and TRIO and MBF proteins. Among secreted cDNAs, we found 21 novel A. gambiae salivary sequences including those predicted to encode amylase, calreticulin, selenoprotein, mucin-like protein and 30-kDa allergen, in addition to antigen 5- and D7-related proteins, three novel salivary gland (SG)-like proteins and eight unique putative secreted proteins (Hypothetical Proteins, HP). The electronic version of this paper contains hyperlinks to FASTA-formatted files for each cluster with the best match to the nonredundant (NR) and conserved domain databases (CDD) in addition to CLUSTAL alignments of each cluster. The N terminus of 12 proteins (SG-1, SG-1-like 2, SG-6, HP 8, HP 9-like, 5' nucleotidase, 30-kDa protein, antigen 5- and four D7-related proteins) has been identified by Edman degradation of PVDF-transferred, SDS/PAGE-separated salivary gland proteins. Therefore, we contribute to the generation of a catalog of A. gambiae salivary transcripts and proteins. These data are freely available and will eventually become an invaluable tool to study the role of salivary molecules in parasite-host/vector interactions.