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This pattern was consistent not only in the insect species, but also in other unrelated species such as yeast, roundworm, mouse and human (Supplementary Table S5). We also wanted to confirm that our observations were not influenced by the search parameters we used to identify the microsatellites. To test that, we used different parameters Lapatinib ic50 such as minimum score 15 and mismatch penalty 3 or minimum score of 10 and mismatch penalty 5 to search microsatellites in specific genomes. When data of these searches were used to repeat the analyses described above, we still found that microsatellites with higher mismatches tend to have lower prevalence in the genome (data not shown). This confirmed that the link S6 Kinase between sequence imperfection and microsatellite abundance is a robust evolutionary process and is not influenced by the search parameters of microsatellites. 3.4. Mutation and imperfection of motif sequences To investigate role of mutation in motif imperfection, SNPs localized within microsatellite loci were identified from the dbSNP database (see Materials and methods). Then, we identified loci where motif mismatches corresponded to the alternate alleles of the cognate SNP (Fig.?3). These were referred to as M1 microsatellites. We also found microsatellites where motif mismatches did not correspond to the SNP alleles (Fig.?3). These were referred to as M0 microsatellites. The microsatellites with different numbers of mismatches (��3 or LY294002 in vivo based on the number of motif mismatches and pattern of allelic variation (M0 or M1), were analysed by Yates' chi-squared test. The result of this analysis revealed significant (��2 = 315.5, P