Biological pores have been used to study the transport of DNA and other molecules but most pores have channels that allow only the movement of small molecules and single-stranded DNA and RNA. The bacteriophage phi29 DNA-packaging motor, which allows double-stranded DNA to enter and exit during a viral infection, contains a connector protein that has a 3.6 – 6.0 nm wide channel. Here we show that a modified version of the connector protein, when reconstituted into liposomes and inserted into planar lipid bilayers, can act as conductive channels to allow the translocation of double-stranded DNA. Single-channel conductance assays and quantitative PCR confirmed the translocation through the pore. The measured conductance of a single connector channel was 4.8 nS in 1 M KCl. This engineered and membrane-adapted phage connector is expected to have interesting applications in nanotechnology and nanomedicine, such as MEMS sensing, microreactors, gene delivery, drug loading, and DNA sequencing.

Solid-state nanopore sensors are highly versatile platforms for the rapid, label-free electrical detection and analysis of single molecules, applicable to next generation DNA sequencing. The versatility of this technology allows for both large scale device integration and interfacing with biological systems. Here we report on the development of a hybrid biological solid-state nanopore platform that incorporates a highly mobile lipid bilayer on a single solid-state Al2O3 nanopore sensor, for the potential reconstitution of ion channels and biological nanopores. Such a system seeks to combine the superior electrical, thermal, and mechanical stability of Al2O3 solid-state nanopores with the chemical specificity of biological nanopores. Bilayers on Al2O3 exhibit higher diffusivity than those formed on TiO2 and SiO2 substrates, attributed to the presence of a thick hydration layer on Al2O3, a key requirement to preserving the biological functionality of reconstituted membrane proteins. Molecular dynamics simulations demonstrate that the electrostatic repulsion between the dipole of the DOPC headgroup and the positively charged Al2O3 surface may be responsible for the enhanced thickness of this hydration layer. Lipid bilayer coated Al2O3 nanopore sensors exhibit excellent electrical properties and enhanced mechanical stability (GΩ seals for over 50 h), making this technology ideal for use in ion channel electrophysiology, the screening of ion channel active drugs and future integration with biological nanopores such as α-hemolysin and MspA for rapid single molecule DNA sequencing. This technology can find broad application in bio-nanotechnology.

The identification of fecal pollution sources is commonly carried out using DNA-based methods. However, there is evidence that DNA can be associated with dead cells or present as "naked DNA" in the environment. Furthermore, it has been shown that rRNA-targeted reverse transcription-quantitative PCR (RT-qPCR) assays can be more sensitive than rRNA gene-based qPCR assays since metabolically active cells usually contain higher numbers of ribosomes than quiescent cells. To this end, we compared the detection frequency of host-specific markers and fecal bacteria using RNA-based RT-qPCR and DNA-based qPCR methods for water samples collected in sites impacted by combined sewer overflows. As a group, fecal bacteria were more frequently detected in most sites using RNA-based methods. Specifically, 8, 87, and 85% of the samples positive for general enterococci, Enterococcus faecalis, and Enterococcus faecium markers, respectively, were detected using RT-qPCR, but not with the qPCR assay counterpart. On average, two human-specific Bacteroidales markers were not detected when using DNA in 12% of the samples, while they were positive for all samples when using RNA (cDNA) as the template. Moreover, signal intensity was up to three orders of magnitude higher in RT-qPCR assays than in qPCR assays. The human-specific Bacteroidales markers exhibited moderate correlation with conventional fecal indicators using RT-qPCR results, suggesting the persistence of nonhuman sources of fecal pollution or the presence of false-positive signals. In general, the results from this study suggest that RNA-based assays can increase the detection sensitivity of fecal bacteria in urban watersheds impacted with human fecal sources. Sewage overflows and stormwater runoff introduce high levels of fecal bacteria into surface waters and are considered the primary cause of water quality impairments in urban watersheds, particularly those affected by combined sewer overflows (CSOs) (1, 2). Sewage contamination of surface waters poses a serious risk to human and environmental health via waterborne disease outbreaks (3-5), deterioration of recreational and drinking water quality (6, 7), and degradation of aquatic ecology (8, 9). Hence, identifying the primary source(s) of fecal contamination is imperative to enable best management practices for mitigating pollution and public health risks.Microbial source tracking (MST) methods targeting fecal bacteria have recently been used to identify the sources of fecal contamination impacting water systems (10, 11). Many of these MST methods are based on quantitative PCR (qPCR) assays targeting the bacterial rRNA genes present within water DNA extracts (12, 13). However, the value of DNA-based monitoring in microbial ecology studies is limited by the possibility of DNA being associated with dead cells or the extent to which "naked DNA" may survive in the environment once bacteria are lysed (14-16). These facts pose a significant challenge to the environmental fate and transport of fecal bacteria which are often assess...

This study is the first to use high-throughput sequencing to identify the bacterial composition of various GW sources.