Antibiotics have transformed modern medicine in manifold ways. However, the misuse and over-consumption of antibiotics or antimicrobials have led to the rise in antimicrobial resistance (AMR). Unfortunately, robust tools or techniques for the detection of potential loci responsible for AMR before it happens are lacking. The emergence of resistance even when a strain lacks known AMR genes has puzzled researchers for a long time. Clearly, there is a critical need for the development of novel approaches for uncovering yet unknown resistance elements in pathogens and advancing our understanding of emerging resistance mechanisms. To aid in the development of new tools for deciphering AMR, here we propose a machine learning (ML) based framework that provides ML models trained and tested on (1) genotypic AMR and phenotypic antimicrobial susceptibility testing (AST) data, which can predict novel resistance factors in bacterial strains that lack already implicated resistance genes; and (2) complete gene set and AST phenotypic data, which can predict the most important genetic loci involved in resistance to specific antibiotics in bacterial strains. The validation of resistance loci prioritized by our ML pipeline was performed using homology modeling and in silico molecular docking.

With effective engineering using synthetic biology approaches, plant-based platforms could conceivably be designed to minimize the production costs and wastes of high-value products such as medicines, biofuels, and chemical feedstocks that would otherwise be uneconomical. Additionally, modern agricultural crops could be engineered to be more productive, resilient, or restorative in different or rapidly changing environments and climates. To achieve these complex goals, information-processing genetic devices and circuits containing multiple interacting parts that behave predictably must be developed. A genetic Boolean AND logic gate is a device that computes the presence or absence of two inputs (signals, stimuli) and produces an output (response) only if both inputs are present. Here, we optimized individual genetic components and used synthetic protein heterodimerizing domains to rationally assemble genetic AND logic gates that integrate two hormonal inputs in whole plants. These AND gates produce an output only in the presence of both abscisic acid and auxin, but not when either or neither hormone is present. Furthermore, we demonstrate the AND gate can also integrate two plant stresses, cold temperature and bacterial infection, to produce a specific response. The design principles used here are generalizable, and therefore multiple orthogonal AND gates could be assembled and rationally …

Light microscopy is inherently limited in resolution by properties of light such as diffraction and interference to 170-250 nm. Expansion microscopy is a quickly-developing method which achieves super-resolution by using a swellable hydrogel to physically expand biological samples themselves, rather than depending on the properties of fluorophores. This thesis demonstrates that expansion microscopy is a feasible means for achieving super-resolution in transmitted light microscopy modes. Though it has only been used for fluorescence imaging in the past, here I show that samples prepared for expansion microscopy—including liver tissue slices and myofibrillar bundles—are observable using transmitted light. While the majority of the original sample material is removed in the expansion process, the hydrogel retains visible evidence of these samples. These demonstrate increased detail under brightfield microscopy that is useful for characterization. Sarcomeric regions are identifiable by this method and are confirmed by fluorescence imaging. Thus, expansion microscopy is a means to bring super-resolution to transmitted light imaging and is entirely compatible with fluorescence for the localization of proteins of interest.

In Medicago truncatula, the MtNPF1.7 transporter has been shown to be essential for root morphology and nodulation development. The allelic MtNPF1.7 mutants, Mtnip-1 (A497V), Mtnip-3 (E171K), and Mtlatd (W341STOP), show altered lateral root growth and compromised legume-rhizobium symbiosis. To assess the role of a series of distinct amino acids in the transporter's function, in silico structural predictions were combined with in planta complementation of the severely defective Mtnip-1 mutant plants. The findings support hypotheses about the functional importance of the ExxE(R/K) motif including an essential role for the first glutamic acid of the motif in proton(s) and possibly substrate transport. The results also question the existence of a putative TMH4-TMH10 salt bridge, which may not form in MtNPF1.7. Results reveal that a motif conserved among MFS proteins, Motif A, is essential for function. Hypothetically, the Motif A participates in intradomain packing of transmembrane helices and stabilizing one conformation during transport. The mutated valine (A497V) in Mtnip-1 may interfere with the lateral helix. Mutating a residue (L253) on the lateral helix with reduced side chain restored Mtnip-1 function. The predicted residue (Q351) for substrate binding is not essential for protein function. To probe the possibility that MtNPF1.7 transports auxin, two heterologous …

Research into the mechanism of symbiotic nitrogen fixation between legumes and rhizobia involves a complex interaction between the organisms, and many genes involved in this remain either uncharacterized or undiscovered. Using forward genetics, mutant plant lines are screened to find new genes without reliance on software-based gene prediction. A large population of Tnt1-mutagenized Medicago truncatula lines is used for this purpose. Herein, the aid of tools like whole genome sequencing (WGS) in this process is explored so that new methods and tools are elucidated. The use of WGS data allows for rapid prediction of all insertions in the genome and has been shown to predict insertion locations that were missed by the TAIL-PCR-based Tnt1 mutant database already in existence. This WGS strategy has been successfully used to find the causal mutations in multiple plant lines. Two WGS strategies are used to analyze insertions in nine sequenced lines and compared with each other and the existing Tnt1 mutant database. It appears that using either WGS method will yield similar results, but the TAIL-PCR-based predictions have much less overlap. The use of the latest R108 genome appears to decrease the degree of disagreement between the methods, while the correlation in the A17 …

The process of symbiotic nitrogen fixation (SNF) in legume root nodules requires the channeling and exchange of nutrients within and between the host plant cells and between the plant cells and their resident rhizobia. Using a forward genetics approach in the Medicago truncatula Tnt1 mutant population followed by whole genome sequencing, two putative sulfate transporter genes, MtSULTR3;5 and MtSULTR3;4b, were identified. To support the hypothesis that the defective putative sulfate transporter genes were the causative mutation for the mutants' phenotypes, the M. truncatula Tnt1 population was successfully reverse screened to find other mutant alleles of the genes. The F2 progeny of mutants backcrossed with wildtype R108 demonstrated co-segregation of mutant phenotypes with the mutant alleles confirming that the mutated mtsultr3;5 and mtsultr3;4b genes were the cause of defective SNF in the mutant lines mutated in the respective genes. This finding was further established for mtsultr3;4b by successful functional complementation of a mutant line defective in the gene with the wildtype copy of MtSULTR3;4b. A MtSULTR3;4b promoter-GUS expression experiment indicated MtSULTR3;4b expression in the vasculature and infected and uninfected plant cells of root nodules. MtSULTR3;4b was found to localize to the autophagosome membrane when expressed in Nicotiana benthamiana. A transcriptomics study …

Dehydroabietinal (DA), an abietane diterpenoid, was previously demonstrated to be a potent activator of systemic acquired resistance (SAR). DA also promotes flowering time in Arabidopsis thaliana by repressing expression of the flowering repressor FLOWERING LOCUS C (FLC) while simultaneously upregulating expression of FLOWERING LOCUS D (FLD), FLOWERING LOCUS VE (FVE) and RELATIVE OF EARLY FLOWERING 6 (REF6), a set of flowering time promoters. To further understand the mechanism underlying signaling by abietane diterpenoids, Arabidopsis mutants exhibiting reduced responsiveness to abietane diterpenoids were identified. One such mutant plant, ems2/7, exhibited SAR-deficiency and delayed flowering, which were found to be associated with two independent, but linked loci. The gene responsible for the SAR defect in ems2/7 was identified as DEFECTIVE IN SYSTEMIC DEFENSE INDUCED BY ABIETANE DITERPENOID 1 (DSA1). Similar to the missense mutant dsa1-1 identified in the mutant screen, the T-DNA insertion bearing null allele dsa1-2 exhibited SAR deficiency that could be complemented by a genomic copy of DSA1. The gene responsible for the delayed flowering phenotype of ems2/7 remains to be identified. DSA1 encodes a protein that is homologous to human protein O-fucosyltransferase 2. DSA1 is required for long-distance transport of the SAR signal. It is hypothesized that DSA1 is …

Pseudomonas fluorescens NCIMB 11764 (Pf11764) is one of a group of bacteria known as cyanotrophs that exhibit the unique ability to grow on toxic cyanide as the sole nitrogen source. This ability has previously been genetically linked to a conserved cluster of seven genes (Nit1C), the signature gene (nitC) coding for a nitrilase enzyme. Nitrilases convert nitriles to ammonia and a carboxylic acid. Still, for the Pf11764 NitC enzyme (Nit11764), no in vivo substrate has been identified, and the basis of the enzyme's requirement for cyanide growth has remained unclear. Therefore, the gene was cloned and the enzyme was characterized with respect to its structure and function. These efforts resulted in the unique discovery that, aside from its nitrilase activity, Nit11764 exhibits nuclease activity towards both DNA and RNA. This ability is consistent with computer analysis of the protein providing evidence of a preponderance of amino acids with a high probability for RNA binding. A Nit11764 knock-out mutant was shown to exhibit a higher sensitivity to both cyanide (KCN) and mitomycin C, both known to induce chromosomal damage. Thus, the overall conclusion is that Nit11764, and likely the entire Nit1C gene cluster, functions as a possible repair mechanism for overcoming …