Leveraging Comparative Genomics to Identify and Functionally Characterize Genes Associated with Sperm Phenotypes in Python bivittatus (Burmese Python)

Figure 3

(a) Number of genes in each phenotype. The number of genes in each phenotype is shown in histogram. Within each phenotype, no gene is duplicated. However, a gene may appear in more than one phenotype. The sum of the counts is 129 corresponding to 129 gene-phenotype relationships. The number of distinct genes is 98. (b) Average percent identity for the set of genes within each phenotype. The average percent identity was calculated for each phenotype. The percent identity for each P. bivittatus protein sequence was determined by using BLASTP to align each P. bivittatus protein sequence against its corresponding mouse protein ortholog. Only the single top scoring blast hit was used to determine identity. Average identity was calculated for each phenotype by summing the individual identities within each phenotype and dividing by the total number of genes within each phenotype. (c) Standard deviation of the “average percent identity” in each phenotype. The population standard deviation of percent identity was calculated for each phenotype. The standard deviations range from a low of 7.7 to a high of 20.46. The two phenotypes with the lowest standard deviations are “impaired sperm capacitation” and “absent sperm flagella.”

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