Biology subjects

Ward, R. D.

Publications and source records attributed to Ward, R. D..

4 recordsLinked to original sources

bioRxiv2024

A Targeted Genome-scale Overexpression Platform for Proteobacteria

Targeted, genome-scale gene perturbation screens using Clustered Regularly Interspaced Short Palindromic Repeats interference (CRISPRi) and activation (CRISPRa) have revolutionized eukaryotic genetics, advancing medical, industrial, and basic research. Although CRISPRi knockdowns have been broadly applied in bacteria, options for genome-scale gene overexpression face key limitations. Here, we develop a facile approach for genome-scale overexpression in bacteria we call, "CRISPRtOE" (CRISPR transposition and OverExpression). We first create a platform for comprehensive gene targeting using CRISPR-associated transposons (CAST) and show that transposition occurs at a higher frequency in non-transcribed DNA. We then demonstrate that CRISPRtOE can upregulate gene expression in Proteobacteria with medical and industrial relevance by integrating synthetic promoters of varying strength upstream of target genes. Finally, we employ CRISPRtOE screening at the genome-scale in the model bacterium Escherichia coli and the non-model biofuel producer Zymomonas mobilis, recovering known and novel antibiotic and engineering targets. We envision that CRISPRtOE will be a valuable overexpression tool for antibiotic mode of action, industrial strain optimization, and gene function discovery in bacteria. ImportanceSystematic alteration of bacterial gene expression enables identification of genes relevant to diverse fields of study and practical applications. Although many targeted, genome-scale genetic tools exist for reducing or eliminating gene expression, there are few facile approaches for systematic gene overexpression in bacteria. Here, we develop a targeted overexpression approach for Proteobacteria of medical and industrial importance that precisely inserts strong promoters upstream of genes using CRISPR-associated transposons. We demonstrate that this approach can be used to systematically overexpress genes in both model (Escherichia coli K-12) and non-model (Zymomonas mobilis) Proteobacteria for the purpose of understanding antibiotic resistance mechanisms and improving strain resilience in biofuel production conditions, respectively.

systems biology↗

bioRxiv2023

The Genetics of Aerotolerant Growth in a Naturally Reduced Genome Alphaproteobacterium

Reduced genome bacteria are genetically simplified systems that facilitate biological study and industrial use. The free-living Alphaproteobacterium, Zymomonas mobilis, has a naturally reduced genome containing fewer than 2000 protein coding genes. Despite its small genome, Z. mobilis thrives in diverse conditions including the presence or absence of atmospheric oxygen. However, insufficient characterization of essential and conditionally essential genes has limited broader adoption of Z. mobilis as a model Alphaproteobacterium. Here, we use genome-scale CRISPRi-seq to systematically identify and characterize Z. mobilis genes that are conditionally essential for aerotolerant or anaerobic growth, or are generally essential across both conditions. Comparative genomics revealed that the essentiality of most "generally essential" genes was shared between Z. mobilis and other Alphaproteobacteria, validating Z. mobilis as reduced genome model. Among conditionally essential genes, we found that the DNA repair gene, recJ, was critical only for aerobic growth but reduced the mutation rate under both conditions. Further, we show that genes encoding the F1FO ATP synthase and Rnf respiratory complex are required for anaerobic growth of Z. mobilis. Combining CRISPRi partial knockdowns with metabolomics and membrane potential measurements, we determined that the ATP synthase generates membrane potential that is consumed by Rnf to power downstream processes. Rnf knockdown strains accumulated isoprenoid biosynthesis intermediates, suggesting a key role for Rnf in powering essential biosynthetic reactions. Our work establishes Z. mobilis as a streamlined model for alphaproteobacterial genetics, has broad implications in bacterial energy coupling, and informs Z. mobilis genome manipulation for optimized production of valuable isoprenoid-based bioproducts. ImportanceThe inherent complexity of biological systems is a major barrier to our understanding of cellular physiology. Bacteria with markedly fewer genes than their close relatives, or reduced genome bacteria, are promising biological models with less complexity. Reduced genome bacteria can also have superior properties for industrial use, provided the reduction does not overly restrict strain robustness. Naturally reduced genome bacteria, such as the Alphaproteobacterium, Zymomonas mobilis, have fewer genes but remain environmentally robust. In this study, we show that Z. mobilis is a simplified genetic model for Alphaproteobacteria, a class with important impacts on the environment, human health, and industry. We also identify genes that are only required in the absence of atmospheric oxygen, uncovering players that maintain and utilize the cellular energy state. Our findings have broad implications for the genetics of Alphaproteobacteria and industrial use of Z. mobilis to create biofuels and bioproducts.

genetics↗

bioRxiv2022

Exploring Viral Communities Associated With Terrestrial Cyanobacteria Metagenomes

Viruses are exceedingly common, but little is known about their diversity let alone how they behave in extreme environments, and whether viruses facilitate adaptation of their hosts to harsh conditions. To set a foundation for understanding of these understudied viral-host interactions, we created a catalog of viruses through analysis of metagenomes from 50 unialgal but nonaxenic Cyanobacteria cultures with 47 cultures isolated from various terrestrial habitats, including desert soil and rock surfaces, tropical soil, and vernal pools. These cultures represent low diversity microbial consortia dominated by the terrestrial Cyanobacteria and its associated cyanosphere microbiome containing heterotrophic microbes. We identified viral sequences in metagenomes, grouped these into viral operational taxonomic units (vOTUs) and then placed vOTUs into viral clusters (VCs). We also calculated vOTU relative abundance and predicted possible bacterial hosts. In total we predicted 814 viral sequences representing 726 vOTUs. We assigned putative taxonomy to 72 of the 814 putative viral sequences; these were distributed into 15 VCs -- mostly assigned to the recently abolished Caudovirales order (now Caudoviricetes class) of viruses. We found that nonaxenic cultures were dominated by unclassified and unclustered viral sequences. Furthermore, we predicted putative bacterial hosts for 211 vOTUs, with the majority of viruses predicted to infect a Proteobacteria (now Pseudomonadota) host. Overall, while limited, these results are consistent with the notion that both viruses and Cyanobacteria isolated from extreme environments are underrepresented in reference datasets. This work increases knowledge of viral diversity and sets a foundation for future exploration of viruses associated with terrestrial Cyanobacteria and their heterotroph associates, such as connecting specific viruses to critical cycling processes and investigating their metabolic functions.

microbiology↗

bioRxiv2022

Essential Gene Phenotypes Reveal Antibiotic Mechanisms and Synergies in Acinetobacter baumannii

The emergence of multidrug-resistant Gram-negative bacteria underscores the need to define genetic vulnerabilities in relevant pathogens. The Gram-negative pathogen, Acinetobacter baumannii, poses an urgent threat by evading antibiotic treatment through both intrinsic and acquired mechanisms. Antibiotics kill bacteria by targeting essential gene products, but antibiotic-essential gene interactions have not been studied systematically in A. baumannii. Here, we use CRISPR interference (CRISPRi) to comprehensively phenotype A. baumannii essential genes. We show that certain essential genes are acutely sensitive to knockdown, providing a set of promising therapeutic targets. Screening our CRISPRi library against last-resort antibiotics revealed essential pathways that modulate beta-lactam resistance, an unexpected link between NADH dehydrogenase function and polymyxin killing, and the genetic basis for synergy between polymyxins and rifamycins. Our results demonstrate the power of systematic genetic approaches to identify weaknesses in Gram-negative pathogens and uncover antibiotic mechanisms that better inform combination therapies. SignificanceAcinetobacter baumannii is a hospital-acquired pathogen that is resistant to common antibiotic treatments. A. baumannii infections, we need to identify promising therapeutic targets and effective antibiotic combinations. Here, we characterize genes critical for A. baumannii viability and their interactions with antibiotics. We find that genes involved in proton gradient formation required for oxygen-dependent energy generation are central to A. baumannii physiology and represent appealing drug targets. We show that polymyxins interact with proton gradient genes, explaining how these antibiotics inhibit growth at sub-lethal concentrations and their efficacy in combination therapies. Our studies reveal antibiotic-gene interactions in A. baumannii that can inform future therapies.

microbiology↗