CMOS Image Sensor for Broad Spectral Range with >90% Quantum Efficiency.

Even though the recent progress made in complementary metal-oxide-semiconductor (CMOS) image sensors (CIS) has enabled numerous applications affecting our daily lives, the technology still relies on conventional methods such as antireflective coatings and ion-implanted back-surface field to reduce optical and electrical losses resulting in limited device performance. In this work, these methods are replaced with nanostructured surfaces and atomic layer deposited surface passivation. The results show that such surface nanoengineering applied to a commercial backside illuminated CIS significantly extends its spectral range and enhances its photosensitivity as demonstrated by >90% quantum efficiency in the 300-700 nm wavelength range. The surface nanoengineering also reduces the dark current by a factor of three. While the photoresponse uniformity of the sensor is seen to be slightly better, possible scattering from the nanostructures can lead to increased optical crosstalk between the pixels. The results demonstrate the vast potential of surface nanoengineering in improving the performance of CIS for a wide range of applications.

Tracing the international arrivals of SARS-CoV-2 Omicron variants after Aotearoa New Zealand reopened its border

Recently there has been a surge in emergent SARS-CoV-2 lineages that are able to evade both vaccine induced immunity as well as prior infection from the founding Omicron BA.1 and BA.2 lineages. These highly transmissible and evasive lineages are on the rise and include Omicron variants BA.2.12.1, BA.4, and BA.5. Aotearoa New Zealand recently reopened its borders to many travellers, without their need to enter quarantine. By generating 10,403 complete SARS-CoV-2 genomes classified as Omicron, we show that New Zealand is observing an influx of these immune-evasive variants through the border. Specifically, there has been a recent surge of BA.5 and BA.2.12.1 introductions into the community and these can be explained by the gradual return to pre-pandemic levels of international traveller arrival rates. We estimate there is one Omicron transmission event from the border to the community for every [~]5,000 passenger arrivals into the country, or around one introduction event per day at the current levels of travel. Given the waning levels of population immunity, this rate of importation presents the risk of a large wave in New Zealand during the second half of 2022. Genomic surveillance, coupled with modelling the rate at which new variants cross the border into the community, provides a lens on the rate at which new variants might gain a foothold and trigger new waves of infection.

Genomic epidemiology of circulating SARS-CoV-2 variants during first two years of the pandemic in Colombia

The emergence of highly transmissible SARS-CoV-2 variants has led to surges in cases and the need for global genomic surveillance. While some variants rapidly spread worldwide, other variants only persist nationally. There is a need for more fine-scale analysis to understand transmission dynamics at a country scale. For instance, the Mu variant of interest, also known as lineage B.1.621, was first detected in Colombia and was responsible for a large local wave but only a few sporadic cases elsewhere. To provide a better understanding of the epidemiology of SARS-Cov-2 variants in Colombia, we used 14,049 complete SARS-CoV-2 genomes from the 32 states of Colombia, and performed Bayesian phylodynamic analyses to estimate the time of variants introduction, their respective effective reproductive number, and effective population size, and the impact of disease control measures. We detected a total of 188 SARS-CoV-2 Pango lineages circulating in Colombia since the start of the pandemic. We showed that the effective reproduction number oscillated drastically throughout the first two years of the pandemic, with Mu showing the highest transmissibility (Re and growth rate estimation). Our results reinforce that genomic surveillance programs are essential for countries to make evidence-driven interventions towards the emergence and circulation of novel SARS-CoV-2 variants.

From elimination to suppression: genomic epidemiology of a large Delta SARS-CoV-2 outbreak in Aotearoa New Zealand

New Zealands COVID-19 elimination strategy heavily relied on the use of genomics to inform contact tracing, linking cases to the border and to clusters during community outbreaks. In August 2021, New Zealand entered its second nationwide lockdown after the detection of a single community case with no immediately apparent epidemiological link to the border. This incursion resulted in the largest outbreak seen in New Zealand caused by the Delta Variant of Concern. Here we generated 3806 high quality SARS-CoV-2 genomes from cases reported in New Zealand between 17 August and 1 December 2021, representing 43% of reported cases. We detected wide geographical spread coupled with undetected community transmission, characterised by the apparent extinction and reappearance of genomically linked clusters. We also identified the emergence, and near replacement, of genomes possessing a 10-nucleotide frameshift deletion that caused the likely truncation of accessory protein ORF7a. By early October, New Zealand moved from elimination to suppression and the role of genomics changed markedly from being used to track and trace, towards population-level surveillance.

Pharmacokinetic Investigation of Commercially Available Edible Marijuana Products in Humans: Potential Influence of Body Composition and Influence on Glucose Control.

The purpose of the study was to describe and compare the pharmacokinetics of five commercial edible marijuana products, determine the influence of body composition on pharmacokinetics, and, in light of epidemiology suggesting marijuana may offer diabetes protection, explore the influence of edible marijuana on glucose tolerance. Seven regular users of marijuana self-administered five edible products in a randomized crossover design; each product contained 10 mg of delta-9-tetrahydrocannabinol (THC). Thirty minutes following marijuana ingestion, participants imbibed a 75 g glucose beverage. Time-to-peak plasma THC concentration ranged between 35 and 90 min; maximal plasma THC concentration (Cmax) ranged between 3.2 and 5.5 ng/mL. Differences between products in plasma THC concentration during the first 20-30 min were detected (p = 0.019). Relations were identified between body composition and pharmacokinetic parameters for some products; however, none of these body composition characteristics were consistently related to pharmacokinetics across all five of the products. Edible marijuana had no effect on oral glucose tolerance compared with a marijuana-free control (Matsuda Index; p > 0.395). Commercially available edible marijuana products evoke different plasma THC concentrations shortly after ingestion, but do not appear to influence acute glucose regulation. These data may allow recreational marijuana users to make informed decisions pertaining to rates of edible marijuana ingestion and avoid overdose.

Real-time genomics to track COVID-19 post-elimination border incursions in Aotearoa New Zealand

There have been thirteen known COVID-19 community outbreaks in Aotearoa New Zealand since the virus was first eliminated in May 2020, two of which led to stay-at-home orders being issued by health officials. These outbreaks originated at the border; via isolating returnees, airline workers, and cargo vessels. With a public health system informed by real-time viral genomic sequencing which typically had complete genomes within 12 hours after a community-based positive COVID-19 test, every outbreak was well-contained with a total of 225 community cases, resulting in three deaths. Real-time genomics were essential for establishing links between cases when epidemiological data could not, and for identifying when concurrent outbreaks had different origins. By reconstructing the viral transmission history from genomic sequences, here we recount all thirteen community outbreaks and demonstrate how genomics played a vital role in containing them. SummaryThe authors recount the role of real-time viral genomics in containing the COVID-19 community outbreaks of Aotearoa New Zealand.

The power and limitations of genomics to track COVID-19 outbreaks: a case study from New Zealand

BackgroundReal-time genomic sequencing has played a major role in tracking the global spread and local transmission of SARS-CoV-2, contributing greatly to disease mitigation strategies. After effectively eliminating the virus, New Zealand experienced a second outbreak of SARS-CoV-2 in August 2020. During this August outbreak, New Zealand utilised genomic sequencing in a primary role to support its track and trace efforts for the first time, leading to a second successful elimination of the virus. MethodsWe generated the genomes of 80% of the laboratory-confirmed samples of SARS-CoV-2 from New Zealands August 2020 outbreak and compared these genomes to the available global genomic data. FindingsGenomic sequencing was able to rapidly identify that the new COVID-19 cases in New Zealand belonged to a single cluster and hence resulted from a single introduction. However, successful identification of the origin of this outbreak was impeded by substantial biases and gaps in global sequencing data. InterpretationAccess to a broader and more heterogenous sample of global genomic data would strengthen efforts to locate the source of any new outbreaks. FundingThis work was funded by the Ministry of Health of New Zealand, New Zealand Ministry of Business, Innovation and Employment COVID-19 Innovation Acceleration Fund (CIAF-0470), ESR Strategic Innovation Fund and the New Zealand Health Research Council (20/1018 and 20/1041).

Phylodynamics reveals the role of human travel and contact tracing in controlling COVID-19 in four island nations

BackgroundNew Zealand, Australia, Iceland, and Taiwan all saw success at controlling the first wave of the COVID-19 pandemic. As islands, they make excellent case studies for exploring the effects of international travel and human movement on the spread of COVID-19. MethodsWe employed a range of robust phylodynamic methods and genome subsampling strategies to infer the epidemiological history of SARS-CoV-2 in these four countries. We compared these results to transmission clusters identified by the New Zealand Ministry of Health by contract tracing strategies. FindingsWe estimated the effective reproduction number of COVID-19 as 1-1.4 during early stages of the pandemic, and show that it declined below 1 as human movement was restricted. We also showed that this disease was introduced many times into each country, and that introductions slowed down markedly following the reduction of international travel in mid March 2020. Finally, we confirmed that New Zealand transmission clusters identified via standard health surveillance strategies largely agree with those defined by genomic data. InterpretationWe have demonstrated how the use of genomic data and computational biology methods can assist health officials in characterising the epidemiology of viral epidemics, and for contact tracing. FundingThis research was funded by the Health Research Council of New Zealand, the Ministry of Business, Innovation, and Employment, the Royal Society of New Zealand, and the New Zealand Ministry of Health. Research in ContextO_ST_ABSEvidence before this studyC_ST_ABSOur study looks at the early months of the COVID-19 pandemic, a period in which the first wave was controlled in four "island" nations - New Zealand, Australia, Taiwan, and Iceland. All prior data used in this study was collected from late 2019 until the end of April 2020. This includes over 3000 SARS-CoV-2 genomic sequences which were collected in this period (and subsequently deposited into GISAID), as well as arrival and departure information (provided by official statistics from each country), human mobility data collected from mobile phones (by Apple), and COVID-19 case data (released by the World Health Organisation). Even early on during the COVID-19 pandemic, the properties of SARS-CoV-2 - including the reproduction number and mutation rate - were well characterised, and a range of these estimates have been covered in our article. Our Bayesian phylodynamic models, including their prior distributions, are informed by all of the above sources of information. Finally, we have incorporated all of the available information on COVID-19 transmission clusters identified by the New Zealand Ministry of Health during this period. Added value of this studyWe quantified the decline in the reproduction number of SARS-CoV-2, following the decline in human mobility, in four "island" countries. We also demonstrated how importation events of SARS-CoV-2 into each considered country declined markedly following the reduction of international travel. Our results shed a different light on these patterns because of (i) our locations of choice - the four countries had success in dealing with the first pandemic wave, with their geographic isolation contributing to cleaner signals of human mobility, and (ii) our novel and empirically driven phylodynamic model, which we built from explicitly modelling mobile phone data in the four islands. Furthermore, by crossing epidemiological against ge3nomic data, our paper quantitatively assesses the ability of contact tracing, as implemented by the New Zealand Ministry of Health (NZMH), in identifying COVID-19 transmission clusters. We find evidence for a high efficacy of the specific measures taken - and when they were taken - by the NZMH in identifying transmission clusters, considered worldwide to have been successful in its response to the pandemic. Our analyses also illustrate the power of viral genomic data in assisting contact tracing. Implications of all the available evidenceThe conclusions drawn from this research inform effective policy for locations pursuing an elimination strategy. We confirm the accuracy of standard contact tracing methods at identifying clusters and show how these methods are improved using genomic data. We demonstrate how the overseas introduction rates and domestic transmission rates of an infectious viral agent can be surveilled using genomic data, and the important role each plays in overall transmission. Specifically, we have quantified these processes for four countries and have shown that they did decline significantly following declines in human travel and mobility. The phylodynamic methods used in this work is shown to be robust and applicable to a range of scenarios where appropriate subsampling is used.

Genomic epidemiology reveals transmission patterns and dynamics of SARS-CoV-2 in Aotearoa New Zealand

New Zealand, a geographically remote Pacific island with easily sealable borders, implemented a nation-wide lockdown of all non-essential services to curb the spread of COVID-19. New Zealand has now effectively eliminated the virus, with low numbers of new cases limited to new arrivals in managed quarantine facilities at the border. Here, we generated 649 SARS-CoV-2 genome sequences from infected patients in New Zealand with samples collected between 26 February and 22 May 2020, representing 56% of all confirmed cases in this time period. Despite its remoteness, the viruses imported into New Zealand represented nearly all of the genomic diversity sequenced from the global virus population. The proportion of D614G variants in the virus spike protein increased over time due to an increase in their importation frequency, rather than selection within New Zealand. These data also helped to quantify the effectiveness of public health interventions. For example, the effective reproductive number, Re, of New Zealands largest cluster decreased from 7 to 0.2 within the first week of lockdown. Similarly, only 19% of virus introductions into New Zealand resulted in a transmission lineage of more than one additional case. Most of the cases that resulted in a transmission lineage originated from North America, rather than from Asia where the virus first emerged or from the nearest geographical neighbour, Australia. Genomic data also helped link more infections to a major transmission cluster than through epidemiological data alone, providing probable sources of infections for cases in which the source was unclear. Overall, these results demonstrate the utility of genomic pathogen surveillance to inform public health and disease mitigation.

Penicillium camemberti galacturonate reductase: C-1 oxidation/reduction of uronic acids and substrate inhibition mitigation by aldonic acids.

The enzyme galacturonate oxidoreductase PcGOR from Penicillium camemberti reduces the C-1 carbon of D-glucuronate and C-4 epimer D-galacturonate to their corresponding aldonic acids, important reactions in both pectin catabolism and ascorbate biosynthesis. PcGOR was active on both glucuronic acid and galacturonic acid, with similar substrate specificities (kcat/Km) using the preferred co-substrate NADPH. Substrate acceptance extended to lactone congeners, and D-glucurono-3,6-lactone was converted to L-gulono-1,4-lactone, an immediate precursor of ascorbate. Reaction with glucuronate showed only minor substrate inhibition, and the product L-gulonate and L-gulono-1,4-lactone were both found to be competitive inhibitors with Ki in the low mM range. In contrast, reaction with C-4 epimer galacturonate displayed marked substrate inhibition. Moreover, the product L-galactonate and L-galactono-1,4-lactone were observed to mitigate substrate inhibition by galacturonate, with the lactone having a greater effect than the acid.

Biochemical characterization of Caulobacter crescentus xylose dehydrogenase.

d-Xylose sugar is a common component of hemicellulose, the second largest fraction of biomass. Many groups have developed biological conversions of d-xylose to value-added products by recombinant expression of the xylose dehydrogenase enzyme from Caulobacter crescentus. This enzyme uses NAD+ as a cofactor to oxidize d-xylose to d-xylono-1,4-lactone. A detailed understanding of the mechanism of this enzyme could be useful in engineering more efficient versions. Therefore, we have conducted kinetic studies including both the forward and reverse physiological reactions of this enzyme. We demonstrate that the enzyme's substrate binding mode follows a sequential steady state ordered mechanism with NAD+ or NADH binding first. Furthermore, the kcat of the reaction in the direction of NAD+ reduction is 10-fold higher than that of the reverse reaction. From rapid reaction studies, we demonstrate the binding of NAD+ and NADH to the free enzyme and that hydride transfer occurs in a fast step followed by a much slower steady state. We calculate that the dissociations of the sugar products from the enzyme complexes are the major rate limiting steps in both directions.

Absence or presence of metal ion activation in two structurally similar GH43 ß-xylosidases.

Two GH43 ß-xylosidases, RS223-BX from a rice straw metagenomic library, and BoXA from Bacteroides ovatus, that share similar amino acid sequences (81% identical) and 19 of 20 active-site residues, were compared by using site-directed mutagenesis of Asp and His residues implicated in metal binding. Thus, RS223-BX is strongly activated by divalent-metal cations and the previously published X-ray structure of this enzyme shows that a Ca2+ cation is chelated by an active-site Asp carboxyl group and an active-site His. Mutation to Ala causes 90% loss of activity for the Asp mutant and 98% loss of activity for the His mutant, indicating their importance to catalysis. For the other enzyme (BoXA), mutation to Ala causes 20% loss of activity for the His mutant and 40% gain of activity for the Asp mutant, indicating the lack of importance for activity of the native residues and the lack of metal-dependency, given that the Asp residue occupies the active site to secure the metal cation in known metal ion dependent GH43 xylosidases. The high activity of the BoXA mutants compared to that of the analogous RS223-BX mutants further undermines the possibility that BoXA maintains a tightly bound metal cofactor resistant to EDTA extraction. The results strengthen our conclusion that the very similar proteins differ in one being metal ion dependent and one not.

Expression and Characterization of Hyperthermostable Exopolygalacturonase RmGH28 from Rhodothermus marinus.

The gene RmGH28 from the organism Rhodothermus marinus, a putative glycosyl hydrolase family 28 polygalacturonase, was expressed in Escherichia coli and biochemically characterized. The gene was found to encode an exopolygalacturonase termed RmGH28, with galacturonic acid monomer and the polymer substrate (n-1) as the products released when acting on de-esterified polygalacturonic acid from citrus pectin. The enzyme at 25 °C had k cat ∼6 s-1 when acting on polygalacturonic acid, with K m ∼0.7 µM and a substrate inhibition constant K si ∼70 µM. The enzyme was hyperthermophilic, with one half initial enzyme activity remaining after 1-h incubation at 93.9 °C. Since the enzyme can function at high temperatures where reaction rates are increased and the risk of bacterial contamination is decreased, this indicates that RmGH28 can be useful in industry for generating galacturonic acid from pectin. The amino acid sequence of RmGH28 is highly homologous to the known hyperthermophilic exopolygalacturonases TtGH28 and Tm0437, which together can serve as starting points for structure-function studies and molecular breeding enzyme engineering approaches.

A general correction to catalytic rates determined for nonprocessive exo-depolymerases acting on both substrate and product in the initial-rate measurement.

We recently reported on the kinetics of the polygalacturonase TtGH28 acting on trimer and dimer substrates. When the starting substrate for hydrolysis is the trimer, the product dimer is also subject to hydrolysis, resulting in discrepancies when either the concentration of dimer or monomer product is used for analysis of trimer hydrolysis. Here, we derive a method for determining catalytic rates of exo-hydrolases acting on trimer (and higher order) substrates when products may also be substrates for hydrolysis and show how this correction may be applied for TtGH28.

Biochemical Characterization of a GH43 ß-Xylosidase from Bacteroides ovatus.

Divalent metal-activated glycoside hydrolase family 43 (GH43) ß-xylosidases have been found to have high k cat/K m for xylooligosaccharides and may demonstrate high efficacy in industrial reactors digesting hemicellulose. By searching an amino acid database, we found a Bacteroides ovatus GH43 ß-xylosidase termed BoXA that is 81% identical in overall amino acid sequence to a GH43, divalent metal-activated ß-xylosidase with high k cat/K m, and also it has 19 of 20 residues in the active site conserved. However, unlike its metal-activated homolog, the B. ovatus enzyme does not lose activity after extensive EDTA treatment nor does it gain activity by addition of divalent metal ions. Thus, either it cannot be activated by divalent metal or it maintains a tightly bound, non-exchangeable metal ion. At 25 °C and pH 6.0, the k cat is 69 s-1 for xylobiose and k cat/K m is 210 s-1 mM-1 for xylotriose, with the latter being 0.7 that of the highest known value. The determined K i for D-glucose is 4.9 M, which is the highest known for a ß-xylosidase. The enzyme has potential utility operating in bioreactors digesting plant biomass.

Expression and Characterization of Hyperthermostable Exo-polygalacturonase TtGH28 from Thermotoga thermophilus.

D-galacturonic acid is a potential platform chemical comprising the principal component of pectin in the citrus processing waste stream. Several enzyme activities are required for the enzymatic production of galacturonic acid from pectin, including exo- and endo-polygalacturonases. The gene TtGH28 encoding a putative GH28 polygalacturonase from Pseudothermotoga thermarum DSM 5069 (Theth_0397, NCBI# AEH50492.1) was synthesized, expressed in Escherichia coli, and characterized. Alignment of the amino acid sequence of gene product TtGH28 with other GH28 proteins whose structures and details of their catalytic mechanism have been elucidated shows that three catalytic Asp residues and several other key active site residues are strictly conserved. Purified TtGH28 was dimeric and hyperthermostable, with K t (0.5)  = 86.3 °C. Kinetic parameters for activity on digalacturonic acid, trigalacturonic acid, and polygalacturonic acid were obtained. No substrate inhibition was observed for polygalacturonate, while the K si values for the oligogalacturonides were in the low mM range, and K i for product galacturonic acid was in the low µM range. Kinetic modeling of the progress of reaction showed that the enzyme is both fully exo- and fully non-processional.

Isolation and divalent-metal activation of a ß-xylosidase, RUM630-BX.

The gene encoding RUM630-BX, a ß-xylosidase/arabinofuranosidase, was identified from activity-based screening of a cow rumen metagenomic library. The recombinant enzyme is activated as much as 14-fold (kcat) by divalent metals Mg(2+), Mn(2+) and Co(2+) but not by Ca(2+), Ni(2+), and Zn(2+). Activation of RUM630-BX by Mg(2+) (t0.5 144 s) is slowed two-fold by prior incubation with substrate, consistent with the X-ray structure of closely related xylosidase RS223-BX that shows the divalent-metal activator is at the back of the active-site pocket so that bound substrate could block its entrance. The enzyme is considerably more active on natural substrates than artificial substrates, with activity (kcat/Km) of 299 s(-1) mM(-1) on xylotetraose being the highest reported.

Rate-limiting steps of a stereochemistry retaining ß-d-xylosidase from Geobacillus stearothermophilus acting on four substrates.

Kinetic experiments of GSXynB2, a GH52 retaining ß-xylosidase, acting on 2-nitrophenyl-ß-d-xylopyranoside (2NPX), 4-nitrophenyl-ß-d-xylopyranoside (4NPX), 4-methylumbelliferyl-ß-d-xylopyranoside (MuX) and xylobiose (X2) were conducted at pH 7.0 and 25 °C. Catalysis proceeds in two steps (xylodidation followed by dexylosidation): E + substrate TO E-xylose + leaving group TO E + xylose. kcat falls into two groups: 4NPX (1.95 s(-1)) and 2NPX, MuX and X2 (15.8 s(-1), 12.6 s(-1), 12.8 s(-1), respectively). Dexylosylation (E-xylose to E + xylose), the common step for the enzymatic hydrolysis of the four substrates, must exceed 15.8 s(-1). kcat of 4NPX would seem mainly limited by xylosylation (step 1) and the other three substrates would seem mainly limited by dexylosylation (step 2) - a conclusion that critically lacks chemical justification (compare 4NPX and 2NPX). Presteady-state rates indicate rapid xylosidation rates for all substrates so a later step (not dexylosidation) is rate-limiting for 4NPX. That 2NPX is an onlier and 4NPX is an outlier (both leaving group pKa of 7.2) of the Brønsted plot pattern (logkcat vs pKa of phenol leaving group) is thus possibly explained by 4NP release. The pH dependency of kcat 2NPX encompasses 2 bell-shaped curves with peaks of pH 3 and pH 7.

X-ray Crystal Structure of Divalent Metal-Activated ß-xylosidase, RS223BX.

We report the X-ray crystal structure of a glycoside hydrolase family 43 ß-xylosidase, RS223BX, which is strongly activated by the addition of divalent metal cations. The 2.69 Å structure reveals that the Ca(2+) cation is located at the back of the active-site pocket. The Ca(2+) is held in the active site by the carboxylate of D85, an "extra" acid residue in comparison to other GH43 active sites. The Ca(2+) is in close contact with a histidine imidazole, which in turn is in contact with the catalytic base (D15) thus providing a mechanism for stabilizing the carboxylate anion of the base and achieve metal activation. The active-site pocket is mirrored by an "inactive-site" pocket of unknown function that resides on the opposite side of the monomer.