Exploring protein-RNA interactions with site-directed mutagenesis and phage display

The importance of RNA as a mediator of genetic information is widely appreciated. RNA molecules also participate in the regulation of various post-transcriptional activities, such as mRNA splicing, editing, RNA stability and transport. Their regulatory roles for these activities are highly dependent on finely tuned associations with cognate proteins. The RNA recognition motif (RRM) is an ancient RNA binding module that participates in hundreds of essential activities where specific RNA recognition is required. We have applied phage display and site-directed mutagenesis to dissect principles of RRM-controlled RNA recognition. The model systems we are investigating are U1A and CUG-BP1. In this dissertation, the molecular basis of the binding affinity of U1A-RNA beyond individual contacts was investigated. We have identified and evaluated the contributions of the local cooperativity formed by three neighboring residues (Asn15, Asn16 and Glu19) to the stability of the U1A-RNA complex. The localized cooperative network was mapped by double-mutant cycles and explored using phage display. We also showed that a cluster of these residues forms a “hot spot” on the surface of U1A; a single substitution at position 19 with Gln or His can alter the binding properties of U1A to recognize a non-cognate G4U RNA. Finally, we applied a deletion analysis of CUG-BP1 to define the contributions of individual RRMs and RRM combinations to the stability of the complex formed between CUG-BP1 and the GRE sequence. The preliminary results showed RRM3 of CUG-BP1 is a key domain for RNA binding. It possibly binds to the GRE sequence cooperatively with RRM2 of CUG-BP1. RRM1 of CUG-BP1 is not required for GRE recognition, but may be important for maintaining the stability of the full-length CUG-BP1.

Comparative genomic approaches for investigating evolution in the microbial and viral populations of the rumen

The rumen is home to a diverse population of microorganisms encompassing all three domains of life: Bacteria, Archaea, and Eukarya. Viruses have also been documented to be present in large numbers; however, little is currently known about their role in the dynamics of the rumen ecosystem. This research aimed to use a comparative genomics approach in order to assess the potential evolutionary mechanisms at work in the rumen environment. We proposed to do this by first assessing the diversity and potential for horizontal gene transfer (HGT) of multiple strains of the cellulolytic rumen bacterium, Ruminococcus flavefaciens, and then by conducting a survey of rumen viral metagenome (virome) and subsequent comparison of the virome and microbiome sequences to ascertain if there was genetic information shared between these populations. We hypothesize that the bacteriophages play an integral role in the community dynamics of the rumen, as well as driving the evolution of the rumen microbiome through HGT. In our analysis of the Ruminococcus flavefaciens genomes, there were several mobile elements and clustered regularly interspaced short palindromic repeat (CRISPR) sequences detected, both of which indicate interactions with bacteriophages. The rumen virome sequences revealed a great deal of diversity in the viral populations. Additionally, the microbial and viral populations appeared to be closely associated; the dominant viral types were those that infect the dominant microbial phyla. The correlation between the distribution of taxa in the microbiome and virome sequences as well as the presence of CRISPR loci in the R. flavefaciens genomes, suggested that there is a “kill-the-winner” community dynamic between the viral and microbial populations in the rumen. Additionally, upon comparison of the rumen microbiome and rumen virome sequences, we found that there are many sequence similarities between these populations indicating a potential for phage-mediated HGT. These results suggest that the phages represent a gene pool in the rumen that could potentially contain genes that are important for adaptation and survival in the rumen environment, as well as serving as a molecular ‘fingerprint’ of the rumen ecosystem.

Information and the evolution of codon bias

The informational properties of biological systems are the subject of much debate and research. I present a general argument in favor of the existence and central importance of information in organisms, followed by a case study of the genetic code (specifically, codon bias) and the translation system from the perspective of information. The codon biases of 831 Bacteria and Archeae are analyzed and modeled as points in a 64-dimensional statistical space. The major results are that (1) codon bias evolution does not follow canonical patterns, and (2) the use of coding space in organsims is a subset of the total possible coding space. These findings imply that codon bias is a unique adaptive mechanism that owes its existence to organisms' use of information in representing genes, and that there is a particularly biological character to the resulting biased coding and information use.