cMost genes for antibiotic resistance present in soil microbes remain unexplored because most environmental microbes cannot be cultured. Only recently has the identification of these genes become feasible through the use of culture-independent methods. We screened a soil metagenomic DNA library in an Escherichia coli host for genes that can confer resistance to kanamycin, gentamicin, rifampin, trimethoprim, chloramphenicol, or tetracycline. The screen revealed 41 genes that encode novel protein variants of eight protein families, including aminoglycoside acetyltransferases, rifampin ADP-ribosyltransferases, dihydrofolate reductases, and transporters. Several proteins of the same protein family deviate considerably from each other yet confer comparable resistance. For example, five dihydrofolate reductases sharing at most 44% amino acid sequence identity in pairwise comparisons were equivalent in conferring trimethoprim resistance. We identified variants of aminoglycoside acetyltransferases and transporters that differ in the specificity of the drugs for which they confer resistance. We also found wide variation in protein structure. Two forms of rifampin ADP-ribosyltransferases, one twice the size of the other, were similarly effective at conferring rifampin resistance, although the short form was expressed at a much lower level. Functional metagenomic screening provides insight into the large variability in antibiotic resistance protein sequences, revealing divergent variants that preserve protein function.

Individuals within a species can exhibit vast variation in copy number of repetitive DNA elements. This variation may contribute to complex traits such as lifespan and disease, yet it is only infrequently considered in genotype-phenotype associations. Although the possible importance of copy number variation is widely recognized, accurate copy number quantification remains challenging. Here, we assess the technical reproducibility of several major methods for copy number estimation as they apply to the large repetitive ribosomal DNA array (rDNA). rDNA encodes the ribosomal RNAs and exists as a tandem gene array in all eukaryotes. Repeat units of rDNA are kilobases in size, often with several hundred units comprising the array, making rDNA particularly intractable to common quantification techniques. We evaluate pulsed-field gel electrophoresis, droplet digital PCR, and Nextera-based whole genome sequencing as approaches to copy number estimation, comparing techniques across model organisms and spanning wide ranges of copy numbers. Nextera-based whole genome sequencing, though commonly used in recent literature, produced high error. We explore possible causes for this error and provide recommendations for best practices in rDNA copy number estimation. We present a resource of high-confidence rDNA copy number estimates for a set of S. cerevisiae and C. elegans strains for future use. We furthermore explore the possibility for FISH-based copy number estimation, an alternative that could potentially characterize copy number on a cellular level.

Integration of imaging data across different molecular target types can provide in-depth insights into cell physiology and pathology, but remains challenging due to poor compatibility between target type-specific labeling methodologies. Here, we show that cross-platform imaging analysis can be readily achieved via DNA encoding of molecular targets, which translates the molecular identity of various target types into a uniform in situ array of ssDNA tags for subsequent labeling with complementary imaging probes. The concept is demonstrated via multiplexed imaging of mRNAs and corresponding proteins with multicolor quantum dots, uncovering heterogeneity of cell transfection with siRNA and outlining disparity in RNAi kinetics at the mRNA and downstream protein levels.

Non-invasive epigenome editing is a promising strategy for engineering gene expression programs, yet potency, specificity, and persistence remain challenging. Here we show that effective epigenome editing is gated at single-base precision via 'keyhole' sites in endogenous regulatory DNA. Synthetic repressors targeting promoter keyholes can ablate gene expression in up to 99% of primary cells with single-gene specificity and can seamlessly repress multiple genes in combination. Transient exposure of primary T cells to keyhole repressors confers mitotically heritable silencing that persists to the limit of primary cultures in vitro and for at least 4 weeks in vivo, enabling manufacturing of cell products with enhanced therapeutic efficacy. DNA recognition and effector domains can be encoded as separate proteins that reassemble at keyhole sites and function with the same efficiency as single chain effectors, enabling gated control and rapid screening for novel functional domains that modulate endogenous gene expression patterns. Our results provide a powerful and exponentially flexible system for programming gene expression and therapeutic cell products.Here we report that the potency and specificity of epigenetic transcriptional repression are linked through promoter keyhole sites, the targeting of which triggers nearcomplete repression with single-gene accuracy. Potent repression, in turn, enables durable programming via reliable induction of mitotically heritable expression programs, offering new potential for engineered cell therapies. 7

Integration of imaging data across different molecular target types can provide in-depth insight into cell physiology and pathology, but remains challenging owing to poor compatibility between target-type-specific labeling methods. We show that cross-platform imaging analysis can be readily achieved through DNA encoding of molecular targets, which translates the molecular identity of various target types into a uniform in situ array of ssDNA tags for subsequent labeling with complementary imaging probes. The concept was demonstrated through multiplexed imaging of mRNAs and their corresponding proteins with multicolor quantum dots. The results reveal heterogeneity of cell transfection with siRNA and outline disparity in RNA interference (RNAi) kinetics at the level of both the mRNA and the encoded protein.