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Leveraging Comparative Genomics to Identify and Functionally Characterize Genes Associated with Sperm Phenotypes inPython bivittatus(Burmese Python)
Author(s) -
Kristopher Irizarry,
Josep Rutllant
Publication year - 2016
Publication title -
genetics research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 9
eISSN - 2090-3154
pISSN - 2090-3162
DOI - 10.1155/2016/7505268
Subject(s) - biology , python (programming language) , genome , genomics , comparative genomics , annotation , gene , functional genomics , organism , computational biology , model organism , phenotype , genetics , evolutionary biology , computer science , operating system
Comparative genomics approaches provide a means of leveraging functional genomics information from a highly annotated model organism's genome (such as the mouse genome) in order to make physiological inferences about the role of genes and proteins in a less characterized organism's genome (such as the Burmese python). We employed a comparative genomics approach to produce the functional annotation of Python bivittatus genes encoding proteins associated with sperm phenotypes. We identify 129 gene-phenotype relationships in the python which are implicated in 10 specific sperm phenotypes. Results obtained through our systematic analysis identified subsets of python genes exhibiting associations with gene ontology annotation terms. Functional annotation data was represented in a semantic scatter plot. Together, these newly annotated Python bivittatus genome resources provide a high resolution framework from which the biology relating to reptile spermatogenesis, fertility, and reproduction can be further investigated. Applications of our research include (1) production of genetic diagnostics for assessing fertility in domestic and wild reptiles; (2) enhanced assisted reproduction technology for endangered and captive reptiles; and (3) novel molecular targets for biotechnology-based approaches aimed at reducing fertility and reproduction of invasive reptiles. Additional enhancements to reptile genomic resources will further enhance their value.

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