DNA sequence comparisons of the human, mouse, and rabbit immunoglobulin kappa gene.

Abstract

A comparative analysis between human, mouse, and rabbit immunoglobulin (Ig) kappa-gene DNA sequences is presented. New formulas for determining the expected length and variance of the longest block identity (a succession of matching nucleotides) between multiple random sequences are given and are used to establish statistical criteria for ascertaining the significance of block identities shared in r out of s sequences. The statistically significant block identities within and between the Ig-kappa-gene sequences are ascertained, and alignment maps based on these similarities are constructed. The human and rabbit sequences (especially in the noncoding regions) and the human and mouse sequences (on the coding regions) show a similarity much stronger than that between the mouse and rabbit sequences. The existence of several highly significant shared oligonucleotides occurring in alignment with each other or with respect to the J- and C-gene segments suggests a configuration of multiple control sites. Discussion and interpretations of the form and distribution of the block identities are given.

Sinus Microanatomy and Microbiota in a Rabbit Model of Rhinosinusitis

“…In studying the microbiome, no single animal model reproduces all aspects of human disease. However, phylogenetic and genetic comparisons of different mammalian genomes have clearly demonstrated that rabbits are closer to the human genome than rodents (Karlin et al, 1985 ). The rabbit microbiome is widely used to study human diseases, especially intestinal pathophysiology and periodontitis (Mapara et al, 2012 ; Jiminez et al, 2015 ).…”

Algebraic Distribution of Segmental Duplication Lengths in Whole-Genome Sequence Self-Alignments

“…Their virtue is that they and their close relatives are local models; conservation at one genomic location is assumed not to affect conservation at distant genomic locations. In the absence of selection, local models must yield shared sequence length distributions of the form shown in Figure 8: exponential (or geometric), with a slope on a semi-log plot that depends on the details of the model [24], [39].…”