Ovodefensins, an Oviduct Specific Antimicrobial Gene Family Have Evolved in Birds and Reptiles to Protect the Egg by Both Sequence and Intra Six Cysteine Sequence Motif Spacing

Ovodefensins are a novel beta defensin-related family of antimicrobial peptides containing conserved glycine and six cysteine residues. Originally thought to be restricted to the albumen-producing region of the avian oviduct, expression was found in chicken, turkey, duck, and zebra finch in large quantities in many parts of the oviduct, but this varied between species and between gene forms in the same species. Using new search strategies, the ovodefensin family now has 35 members, including reptiles, but no representatives outside birds and reptiles have been found. Analysis of their evolution shows that ovodefensins divide into six groups based on the intra-cysteine amino acid spacing, representing a unique mechanism alongside traditional evolution of sequence. The groups have been used to base a nomenclature for the family. Antimicrobial activity for three ovodefensins from chicken and duck was confirmed against Escherichia coli and a pathogenic E. coli strain as well as a Gram-positive organism, Staphylococcus aureus, for the first time. However, activity varied greatly between peptides, with Gallus gallus OvoDA1 being the most potent, suggesting a link with the different structures. Expression of Gallus gallus OvoDA1 (gallin) in the oviduct was increased by estrogen and progesterone and in the reproductive state. Overall, the results support the hypothesis that ovodefensins evolved to protect the egg, but they are not necessarily restricted to the egg white. Therefore, divergent motif structure and sequence present an interesting area of research for antimicrobial peptide design and understanding protection of the cleidoic egg

Diagnostic utility of array-based comparative genomic hybridization in a clinical setting

Array-based comparative genomic hybridization is a recently introduced technique for the detection of submicroscopic genomic imbalances (deletions or duplications) across the entire genome. To assess the potential utility of a widely available array-based comparative genomic hybridization platform that targets specific, clinically relevant, loci across the genome for cytogenetic diagnosis in a clinical setting, we reviewed the medical records of all 373 patients at Children's Hospital Boston who had normal chromosomal analysis and were tested with this targeted array-based comparative genomic hybridization over a 1-year period from November 1, 2004 to October 31, 2005. These patients were tested because of a suspicion of chromosomal abnormalities based on their clinical presentation. Thirty-six patients (9.7%) had abnormal array-based comparative genomic hybridization results. Twenty patients (5.4%) had potentially pathogenetic genomic imbalances and 16 patients (4.3%) had copy number variations that are not believed to be pathogenetic. Thirteen of 234 patients (5.6%) with mental retardation/global developmental delay, 10/114 patients (8.8%) with facial dysmorphism, 5/58 patients (8.6%) with multiple congenital anomalies, and 4/35 patients (11.4%) with both facial dysmorphism and multiple congenital anomalies had potentially pathogenetic genomic imbalances. Targeted array-based comparative genomic hybridization is a clinically available test that is useful in the evaluation of patients suspected of having chromosomal disorders. However, it is best used as an adjunct to chromosomal analysis when a clear genetic diagnosis is unavailable

GeneSeqToFamily: a Galaxy workflow to find gene families based on the Ensembl Compara GeneTrees pipeline

Gene duplication is a major factor contributing to evolutionary novelty, and the contraction or expansion of gene families has often been associated with morphological, physiological and environmental adaptations. The study of homologous genes helps us to understand the evolution of gene families. It plays a vital role in finding ancestral gene duplication events as well as identifying genes that have diverged from a common ancestor under positive selection. There are various tools available, such as MSOAR, OrthoMCL and HomoloGene, to identify gene families and visualise syntenic information between species, providing an overview of syntenic regions evolution at the family level. Unfortunately, none of them provide information about structural changes within genes, such as the conservation of ancestral exon boundaries amongst multiple genomes. The Ensembl GeneTrees computational pipeline generates gene trees based on coding sequences and provides details about exon conservation, and is used in the Ensembl Compara project to discover gene families