Toll-like receptors (TLRs) recognize various microbial components and induce immune responses. Polymorphisms in TLRs may influence their recognition of pathogen-derived molecules; swine TLRs are predicted to be associated with responses to infectious diseases such as pneumonia. In this study, we searched for single nucleotide polymorphisms (SNPs) in the coding sequences of porcine TLR1, TLR2, TLR4, TLR5, and TLR6 genes in 96 pigs from 11 breeds and elucidated 21, 11, 7, 13, and 11 SNPs, respectively, which caused amino acid substitutions in the respective TLRs. Distribution of these nonsynonymous SNPs was biased; many were located in the leucine-rich repeats, particularly in TLR1. These data demonstrated that the heterogeneity of TLR genes was preserved in various porcine breeds despite intensive breeding that was carried out for livestock improvement. It suggests that the heterogeneity in TLR genes is advantageous in increasing the possibility of survival in porcine populations.

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We formerly released the porcine expressed sequence tag (EST) database Pig EST Data Explorer (PEDE; ), which comprised 68 076 high-quality ESTs obtained by using full-length-enriched cDNA libraries derived from seven tissues. We have added eight tissues and cell types to the EST analysis and have integrated 94 555 additional high-quality ESTs into the database. We also fully sequenced the inserts of 10 147 of the cDNA clones that had undergone EST analysis; the sequences and annotation of the cDNA clones were stored in the database. Further, we constructed an interface that can be used to perform various searches in the database. The PEDE database is the primary resource of expressed pig genes that are supported by full-length cDNA sequences. This resource not only enables us to pick cDNA clones of interest for a particular analysis, but it also confirms and thus contributes to the sequencing integrity of the pig genome, which is now being compiled by an international consortium (). PEDE has therefore evolved into what we now call ‘Pig Expression Data Explorer’.

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