Importance of Solvent-Bridged Structures of Fluorinated Diphenylalanines: Synthesis, Detailed NMR Analysis, and Rotational Profiles of Phe(2-F)-Phe(2-F), Phe(2-F)-Phe, and Phe-Phe(2-F).

The crystal structure of l-phenylalanyl l-phenylalanine (Phe-Phe, FF, a.k.a. diphenylalanine) is not merely noncentrosymmetric, but it is highly dipole parallel aligned. It is for this reason that FF is a nonlinear optical (NLO) material and exhibits strong second harmonic generation (SHG). Enhancement of the SHG response by ortho fluorination was demonstrated. Crystallization is nontrivial, and learning about the zwitterion structures in solution is important for the rational improvement of the crystallization process. Here, we present an NMR study of di-fluorinated FF (Phe(2-F)-Phe(2-F)) and mono-fluorinated FF isomers (Phe(2-F)-Phe and Phe-Phe(2-F)). The dipeptides were prepared by solid-phase synthesis and purified by high-performance liquid chromatography (HPLC). Their 1H and 13C NMR spectra were recorded in partially deuterated water (10% D2O), and two-dimensional (2D) NMR techniques were employed for signal assignments. The unambiguous assignments are reported of all chemical shifts for the aliphatic H and C atoms and of the C atoms of the carboxylate, the amide carbonyl, the CF carbons, and of every arene C atom in each phenyl ring. The dipeptides are trans amides and intramolecular hydrogen bonding between the ammonium group and the amide carbonyl restricts the H3N-CH-C(O) geometry. We explored the rotational profile of the diphenylalanines as a function of the τ = ∠(C-N-C-CO2) dihedral angle at the SMD(B3LYP/6-31G*) level without and with specific hydration and report the associated Karplus curves J(θ) vs θ = ∠(H-N-C-H). The rotational profiles show a maximum of three stationary structures, and relative conformer stabilities of the free diphenylalanines show that the conformation found in the crystal M1 is the least stable among the three, M3 > M2 ≫ M1. Specific water solvation makes all of the difference and adds a large competitive advantage to the water-bridged ion pair M1a. In fact, M1a becomes the most stable and dominant conformation for the parent diphenylalanine and mono1 F-FF and M1a becomes competitive with M3c for mono2 F-FF and di F-FF. Implications are discussed regarding the importance of the conformational preorganization of diphenylalanines in solution and the facility for their crystallization.

Synergistic epistasis enhances the co-operativity of mutualistic interspecies interactions.

Early evolution of mutualism is characterized by big and predictable adaptive changes, including the specialization of interacting partners, such as through deleterious mutations in genes not required for metabolic cross-feeding. We sought to investigate whether these early mutations improve cooperativity by manifesting in synergistic epistasis between genomes of the mutually interacting species. Specifically, we have characterized evolutionary trajectories of syntrophic interactions of Desulfovibrio vulgaris (Dv) with Methanococcus maripaludis (Mm) by longitudinally monitoring mutations accumulated over 1000 generations of nine independently evolved communities with analysis of the genotypic structure of one community down to the single-cell level. We discovered extensive parallelism across communities despite considerable variance in their evolutionary trajectories and the perseverance within many evolution lines of a rare lineage of Dv that retained sulfate-respiration (SR+) capability, which is not required for metabolic cross-feeding. An in-depth investigation revealed that synergistic epistasis across pairings of Dv and Mm genotypes had enhanced cooperativity within SR- and SR+ assemblages, enabling their coexistence within the same community. Thus, our findings demonstrate that cooperativity of a mutualism can improve through synergistic epistasis between genomes of the interacting species, enabling the coexistence of mutualistic assemblages of generalists and their specialized variants.

Robustness of a model microbial community emerges from population structure among single cells of a clonal population.

Microbial populations can withstand, overcome and persist in the face of environmental fluctuation. Previously, we demonstrated how conditional gene regulation in a fluctuating environment drives dilution of condition-specific transcripts, causing a population of Desulfovibrio vulgaris Hildenborough (DvH) to collapse after repeatedly transitioning from sulfate respiration to syntrophic conditions with the methanogen Methanococcus maripaludis. Failure of the DvH to successfully transition contributed to the collapse of this model community. We investigated the mechanistic basis for loss of robustness by examining whether conditional gene regulation altered heterogeneity in gene expression across individual DvH cells. We discovered that robustness of a microbial population across environmental transitions was attributable to the retention of cells in two states that exhibited different condition-specific gene expression patterns. In our experiments, a population with disrupted conditional regulation successfully alternated between cell states. Meanwhile, a population with intact conditional regulation successfully switched between cell states initially, but collapsed after repeated transitions, possibly due to the high energy requirements of regulation. These results demonstrate that the survival of this entire model microbial community is dependent on the regulatory system's influence on the distribution of distinct cell states among individual cells within a clonal population.

Mechanism for microbial population collapse in a fluctuating resource environment.

Managing trade-offs through gene regulation is believed to confer resilience to a microbial community in a fluctuating resource environment. To investigate this hypothesis, we imposed a fluctuating environment that required the sulfate-reducer Desulfovibrio vulgaris to undergo repeated ecologically relevant shifts between retaining metabolic independence (active capacity for sulfate respiration) and becoming metabolically specialized to a mutualistic association with the hydrogen-consuming Methanococcus maripaludis Strikingly, the microbial community became progressively less proficient at restoring the environmentally relevant physiological state after each perturbation and most cultures collapsed within 3-7 shifts. Counterintuitively, the collapse phenomenon was prevented by a single regulatory mutation. We have characterized the mechanism for collapse by conducting RNA-seq analysis, proteomics, microcalorimetry, and single-cell transcriptome analysis. We demonstrate that the collapse was caused by conditional gene regulation, which drove precipitous decline in intracellular abundance of essential transcripts and proteins, imposing greater energetic burden of regulation to restore function in a fluctuating environment.

A method to analyze, sort, and retain viability of obligate anaerobic microorganisms from complex microbial communities.

A high speed flow cytometric cell sorter was modified to maintain a controlled anaerobic environment. This technology enabled coupling of the precise high-throughput analytical and cell separation capabilities of flow cytometry to the assessment of cell viability of evolved lineages of obligate anaerobic organisms from cocultures.

Stress granule-defective mutants deregulate stress responsive transcripts.

To reduce expression of gene products not required under stress conditions, eukaryotic cells form large and complex cytoplasmic aggregates of RNA and proteins (stress granules; SGs), where transcripts are kept translationally inert. The overall composition of SGs, as well as their assembly requirements and regulation through stress-activated signaling pathways remain largely unknown. We have performed a genome-wide screen of S. cerevisiae gene deletion mutants for defects in SG formation upon glucose starvation stress. The screen revealed numerous genes not previously implicated in SG formation. Most mutants with strong phenotypes are equally SG defective when challenged with other stresses, but a considerable fraction is stress-specific. Proteins associated with SG defects are enriched in low-complexity regions, indicating that multiple weak macromolecule interactions are responsible for the structural integrity of SGs. Certain SG-defective mutants, but not all, display an enhanced heat-induced mutation rate. We found several mutations affecting the Ran GTPase, regulating nucleocytoplasmic transport of RNA and proteins, to confer SG defects. Unexpectedly, we found stress-regulated transcripts to reach more extreme levels in mutants unable to form SGs: stress-induced mRNAs accumulate to higher levels than in the wild-type, whereas stress-repressed mRNAs are reduced further in such mutants. Our findings are consistent with the view that, not only are SGs being regulated by stress signaling pathways, but SGs also modulate the extent of stress responses. We speculate that nucleocytoplasmic shuttling of RNA-binding proteins is required for gene expression regulation during stress, and that SGs modulate this traffic. The absence of SGs thus leads the cell to excessive, and potentially deleterious, reactions to stress.

Molecular mechanisms of system responses to novel stimuli are predictable from public data.

Systems scale models provide the foundation for an effective iterative cycle between hypothesis generation, experiment and model refinement. Such models also enable predictions facilitating the understanding of biological complexity and the control of biological systems. Here, we demonstrate the reconstruction of a globally predictive gene regulatory model from public data: a model that can drive rational experiment design and reveal new regulatory mechanisms underlying responses to novel environments. Specifically, using ∼ 1500 publically available genome-wide transcriptome data sets from Saccharomyces cerevisiae, we have reconstructed an environment and gene regulatory influence network that accurately predicts regulatory mechanisms and gene expression changes on exposure of cells to completely novel environments. Focusing on transcriptional networks that induce peroxisomes biogenesis, the model-guided experiments allow us to expand a core regulatory network to include novel transcriptional influences and linkage across signaling and transcription. Thus, the approach and model provides a multi-scalar picture of gene dynamics and are powerful resources for exploiting extant data to rationally guide experimentation. The techniques outlined here are generally applicable to any biological system, which is especially important when experimental systems are challenging and samples are difficult and expensive to obtain-a common problem in laboratory animal and human studies.

Role of the repressor Oaf3p in the recruitment of transcription factors and chromatin dynamics during the oleate response.

Cellular responses to environmental stimuli are mediated by the co-ordinated activity of multiple control mechanisms, which result in the dynamics of cell function. Communication between different levels of regulation is central for this adaptability. The present study focuses on the interplay between transcriptional regulators and chromatin modifiers to co-operatively regulate transcription in response to a fatty acid stimulus. The genes involved in the ß-oxidation of fatty acids are highly induced in response to fatty acid exposure by four gene-specific transcriptional regulators, Oaf (oleate-activated transcription factor) 1p, Pip2p (peroxisome induction pathway 2), Oaf3p and Adr1p (alcohol dehydrogenase regulator 1). In the present study, we examine the interplay of these factors with Htz1p (histone variant H2A.Z) in regulating POT1 (peroxisomal oxoacyl thiolase 1) encoding peroxisomal thiolase and PIP2 encoding the autoregulatory oleate-specific transcriptional activator. Temporal resolution of ChIP (chromatin immunoprecipitation) data indicates that Htz1p is required for the timely removal of the transcriptional repressor Oaf3p during oleate induction. Adr1p plays an important role in the assembly of Htz1p-containing nucleosomes on the POT1 and PIP2 promoters. We also investigated the function of the uncharacterized transcriptional inhibitor Oaf3p. Deletion of OAF3 led to faster POT1 mRNA accumulation than in the wild-type. Most impressively, a highly protected nucleosome structure on the POT1 promoter during activation was observed in the OAF3 mutant cells in response to oleate induction.

Histone chaperone Chz1p regulates H2B ubiquitination and subtelomeric anti-silencing.

Chz1p is a histone chaperone that interacts physically and functionally with the histone variant Htz1p, which has been implicated in establishing and maintaining boundaries between transcriptionally inactive heterochromatin and active euchromatin. To investigate the role of Chz1p in chromatin organization, we performed genome-wide expression arrays and chromatin immunoprecipitations of SIR complex components and modified histones in a CHZ1 deletion strain. Deletion of CHZ1 led to reduced ubiquitination of subtelomere-associated H2B, reduced subtelomeric H3K79 di-methylation, and increased binding of Sir3p, and Sir4p at telomere-distal euchromatin regions, correlating with decreased gene expression in subtelomeric regions. This anti-silencing defect appears to be mediated by enhanced association of de-ubiquitinase Ubp10p with subtelomeric DNA, as detected by chromatin immunoprecipitation analysis. In support of this, we show that deletion of UBP10 can antagonize the subtelomeric silencing phenotype of Deltachz1. Taken together, the results demonstrate a novel role for Chz1p in epigenetic regulation, through H2B de-ubiquitination by Ubp10p.