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Hypothesis: The nucleation of biofilms is known to be affected by both the chemistry and topography of the underlying substrate, particularly when topography includes nanoscale (

While critical cellular components-such as the RNA moiety of bacterial ribonuclease P-can sometimes be replaced with a highly divergent homolog, the cellular response to such perturbations is often unexpectedly complex. RNase P is a ubiquitous and essential ribonucleoprotein involved in the processing of multiple RNA substrates, including tRNAs, small non-coding RNAs and intergenic operons. In Bacteria, RNase P RNAs have been subdivided-based on their secondary and tertiary structures-into two major groups (A and B), each with a distinct phylogenetic distribution. Despite the vast phylogenetic and structural gap that separates the two RNase P RNA classes, previous work suggested their interchangeability. Here, we explore in detail the functional and fitness consequences of replacing the endogenous Type-A Escherichia coli RNase P RNA with a Type-B homolog derived from Bacillus subtilis, and show that E. coli cells forced to survive with a chimeric RNase P as their sole source of RNase P activity exhibit extremely variable responses. The chimeric RNase P alters growth rates-used here as an indirect measure of fitness-in unpredictable ways, ranging from 3- to 20-fold reductions in maximal growth rate. The transcriptional behavior of cells harboring the chimeric RNAse P is also perturbed, affecting the levels of at least 79 different transcripts. Such transcriptional plasticity represents an important mechanism of transient adaptation which, when coupled with the emergence and eventual fixation of compensatory mutations, enables the cells to overcome the disruption of this tightly coevolving ribonucleoprotein.

The importance of the human microbiome in health may be the single most valuable development in our conception of the microbial world since Pasteur’s germ theory of the 1860s. Its implications for our understanding of health and pathogenesis are profound. Coupled with the revolution in diagnostics that we are now witnessing – a revolution that changes medicine from a science of symptoms to a science of causes – we cannot continue to develop antibiotics as we have for the past 80 years. Instead, we need to usher in a new conception of the role of antibiotics in treatment: away from single molecules that target broad phylogenetic spectra and towards targeted molecules that cripple the pathogen while leaving the rest of the microbiome largely intact.

Pathogenic bacteria resistant to many or all antibiotics already exist. With the decline in microbiological research at pharmaceutical companies, the high rate at which resistance has evolved and spread has demanded a novel approach to addressing this critical human health issue. In the present paper, we propose a new paradigm in antibiotic discovery and development, one that applies ecological and evolutionary theory to design antimicrobial drugs that are more difficult and/or more costly to resist. In essence, we propose to simply adopt the strategies invented and applied by bacteria for hundreds of millions of years. Our research focuses on bacteriocins, powerful biological weapons, and their use as alternative therapeutics in human health.

In an effort to develop derivatives of the Escherichia coli antimicrobial protein colicin E9 that exhibit novel interactions with a target cell, we mutagenized a 10-amino acid region located at the C terminus of the colicin receptor-binding domain. We subsequently selected for those colicin molecules that retain the antimicrobial phenotype and found that, despite a mutagenic strategy that alters every amino acid in the targeted domain, more than 70% of the engineered colicins retained antimicrobial activity. This result is all the more surprising given the extensive phylogenetic conservation of this receptor-binding domain, which originally suggested the operation of strong selective constraints on the amino acid sequence of this region. This apparent contradiction between our experimental results and the comparative data is resolved by exploring the fitness consequences of the experimentally induced amino acid substitutions. In 17 of 52 cases we examined, the fitness of cells harboring the functional engineered colicins was lower than that of our control line (containing wild-type colicin E9), and in 33 of 52 cases, equal to it. Paradoxically, two of the engineered colicins appear to confer a higher fitness to the producer cell lines. While the mechanism linking changes in the amino acid sequence of the colicin receptor-binding domain and the growth rate of the cells remains unclear, these results illustrate the surprising versatility of the colicin/receptor interaction and underscore the importance of distinguishing molecular function from organismal fitness.

The specification of floral organ identity in the higher dicots depends on the function of a limited set of homeotic genes, many of them members of the MADS-box gene family. Two such genes, APETALA3 (AP3) and PISTILLATA (PI), are required for petal and stamen identity in Arabidopsis; their orthologs in Antirrhinum exhibit similar functions. To understand how changes in these genes may have influenced the morphological evolution of petals and stamens, we have cloned twenty-six homologs of the AP3 and PI genes from two higher eudicot and eleven lower eudicot and magnolid dicot species. The sequences of these genes reveal the presence of characteristic PI- and AP3-specific motifs. While the PI-specific motif is found in all of the PI genes characterized to date, the lower eudicot and magnolid dicot AP3 homologs contain distinctly different motifs from those seen in the higher eudicots. An analysis of all the available AP3 and PI sequences uncovers multiple duplication events within each of the two gene lineages. A major duplication event in the AP3 lineage coincides with the base of the higher eudicot radiation and may reflect the evolution of a petal-specific AP3 function in the higher eudicot lineage.

The evolution of any given protein reflects the interplay between proximal selective forces involving the conservation of protein structure and function and more general populational factors that shape the action and efficiency of natural selection. In an attempt to address that interplay, we have analyzed patterns of amino acid replacement within a well-conserved molecule, alcohol dehydrogenase (ADH), in the Drosophilidae. A sliding window, moved along the protein sequence in order to quantify the extent of change at each amino acid position, reveals heterogeneous amounts of replacement across the molecule when all ADH sequences are analyzed simultaneously. Surprisingly, the replacement profile for ADH differs significantly in the melanogaster, mulleri, and Hawaiian subgroups, reflecting the imprint of the differing evolutionary histories of each of these assemblages on the evolution of this conservative molecule.

If genes have been assembled from exon subunits, the frequency with which exons are reused leads to an estimate of the size of the underlying exon universe. An exon database was constructed from available protein sequences, and homologous exons were identified on the basis of amino acid identity; statistically significant matches were determined by Monte Carlo methods. It is estimated that only 1000 to 7000 exons were needed to construct all proteins.

In order to explore the variety of possible responses available to a ribozyme population evolving a novel phenotype, five Tetrahymena thermophila group I intron ribozyme pools were evolved in parallel for cleavage of a DNA oligonucleotide. These ribozyme populations were propagated under identical conditions and characterized when they reached apparent phenotypic plateaus; the populations that reached the highest plateau showed a near 100-fold improvement in DNA cleavage activity. A detailed characterization of the evolved response in these populations reveals at least two distinct phenotypic trajectories emerging as a result of the imposed selection. Not only do these distinct solutions exhibit differential DNA cleavage activity, but they also exhibit a very different correlation with a related, but unselected, phenotype: RNA cleavage activity. In turn, each of these trajectories is underwritten by differing genotypic profiles. This study underscores the complex network of possible trajectories through sequence space available to an evolving population and uncovers the diversity of solutions that result when the process of experimental evolution is repeated multiple times in a simple, engineered system.