High-Throughput Next-Generation Sequencing Respiratory Viral Panel: A Diagnostic and Epidemiologic Tool for SARS-CoV-2 and Other Viruses

Two serious public health challenges have emerged in the current COVID-19 pandemic namely, deficits in SARS-CoV-2 variant monitoring and neglect of other co-circulating respiratory viruses. Additionally, accurate assessment of the evolution, extent, and dynamics of the outbreak is required to understand the transmission of the virus. To address these challenges, we evaluated 533 samples using a high-throughput next-generation sequencing (NGS) respiratory viral panel (RVP) that includes 40 viral pathogens. The performance metrics revealed a PPA, NPA, and accuracy of 95.98%, 85.96%, and 94.4%, respectively. The clade for pangolin lineage B that contains certain distant variants, including P4715L in ORF1ab, Q57H in ORF3a, and S84L in ORF8 covarying with the D614G spike protein mutation, were the most prevalent early in the pandemic in Georgia, USA. The isolates from the same county formed paraphyletic groups, indicating virus transmission between counties. The study demonstrates the clinical and public health utility of the NGS-RVP to identify novel variants that can provide actionable information to prevent or mitigate emerging viral threats and models that provide insights into viral transmission patterns and predict transmission/resurgence of regional outbreaks as well as providing critical information on co-circulating respiratory viruses that might be independent factors contributing to the global disease burden

Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison

Abstract This study quantifies the state-of-the-art in the rapidly growing field of seasonal Arctic sea ice prediction. A novel multi-model dataset of retrospective seasonal predictions of September Arctic sea ice is created and analyzed, consisting of community contributions from 17 statistical models and 17 dynamical models. Prediction skill is compared over the period 2001–2020 for predictions of Pan-Arctic sea ice extent (SIE), regional SIE, and local sea ice concentration (SIC) initialized on June 1, July 1, August 1, and September 1. This diverse set of statistical and dynamical models can individually predict linearly detrended Pan-Arctic SIE anomalies with skill, and a multi-model median prediction has correlation coefficients of 0.79, 0.86, 0.92, and 0.99 at these respective initialization times. Regional SIE predictions have similar skill to Pan-Arctic predictions in the Alaskan and Siberian regions, whereas regional skill is lower in the Canadian, Atlantic, and Central Arctic sectors. The skill of dynamical and statistical models is generally comparable for Pan-Arctic SIE, whereas dynamical models outperform their statistical counterparts for regional and local predictions. The prediction systems are found to provide the most value added relative to basic reference forecasts in the extreme SIE years of 1996, 2007, and 2012. SIE prediction errors do not show clear trends over time, suggesting that there has been minimal change in inherent sea ice predictability over the satellite era. Overall, this study demonstrates that there are bright prospects for skillful operational predictions of September sea ice at least three months in advance.</jats:p

The Arctic

peer reviewe

DNA Encapsulation of Ten Silver Atoms Produces a Bright, Modulatable, Near Infrared-Emitting Cluster

Photostability, inherent fluorescence brightness, and optical modulation of fluorescence are key attributes distinguishing silver nanoclusters as fluorophores. DNA plays a central role both by protecting the clusters in aqueous environments and by directing their formation. Herein, we characterize a new near infrared-emitting cluster with excitation and emission maxima at 750 and 810 nm, respectively that is stabilized within C(3)AC(3)AC(3)TC(3)A. Following chromatographic resolution of the near infrared species, a stoichiometry of 10 Ag/oligonucleotide was determined. Combined with excellent photostability, the cluster\u27s 30% fluorescence quantum yield and 180,000 M(-1)cm(-1) extinction coefficient give it a fluorescence brightness that significantly improves on that of the organic dye Cy7. Fluorescence correlation analysis shows an optically accessible dark state that can be directly depopulated with longer wavelength co-illumination. The coupled increase in total fluorescence demonstrates that enhanced sensitivity can be realized through Synchronously Amplified Fluorescence Image Recovery (SAFIRe), which further differentiates this new fluorophore

DNA Templates for Fluorescent Silver Clusters and I-Motif Folding

When compared with silver nanoparticles, silver clusters comprised of ?101 atoms are distinguished by their strong fluorescence, and DNA directs and stabilizes particular types of clusters via base-specific interactions. Two main observations considered in this paper are the pH dependence of the fluorescence and the folded conformation of the oligonucleotide?cluster conjugates. Two i-motif forming oligonucleotides (dTA2C4)4 and (dC4A2)3C4 coordinate red and green emissive species, and these fluorescent species are favored in slightly acidic and basic solutions, respectively. The red emission is highest at pH 6, at which the i-motif forms of the oligonucleotides are also stable. When assessed by size exclusion chromatography, the oligonucleotide and cluster conjugate have similar global structures, which indicate that the DNA strands are similarly organized at this pH. The green emission is highest at pH 8?9. In these basic solutions, the oligonucleotide alone is unfolded, yet the green and red cluster?oligonucleotide conjugates have similar shapes. The pH-dependent fluorescence and the compact shapes of the cluster?oligonucleotide conjugates suggest that protons dominate DNA folding for the red emissive species, while the green emissive clusters themselves determine the shape of their DNA matrix. These studies provide the basis for understanding how specific base arrangements and environmental factors influence the formation of this new class of fluorescent nanomaterials. When compared with silver nanoparticles, silver clusters comprised of ?101 atoms are distinguished by their strong fluorescence, and DNA directs and stabilizes particular types of clusters via base-specific interactions. Two main observations considered in this paper are the pH dependence of the fluorescence and the folded conformation of the oligonucleotide?cluster conjugates. Two i-motif forming oligonucleotides (dTA2C4)4 and (dC4A2)3C4 coordinate red and green emissive species, and these fluorescent species are favored in slightly acidic and basic solutions, respectively. The red emission is highest at pH 6, at which the i-motif forms of the oligonucleotides are also stable. When assessed by size exclusion chromatography, the oligonucleotide and cluster conjugate have similar global structures, which indicate that the DNA strands are similarly organized at this pH. The green emission is highest at pH 8?9. In these basic solutions, the oligonucleotide alone is unfolded, yet the green and red cluster?oligonucleotide conjugates have similar shapes. The pH-dependent fluorescence and the compact shapes of the cluster?oligonucleotide conjugates suggest that protons dominate DNA folding for the red emissive species, while the green emissive clusters themselves determine the shape of their DNA matrix. These studies provide the basis for understanding how specific base arrangements and environmental factors influence the formation of this new class of fluorescent nanomaterials

DNA Encapsulation of 10 Silver Atoms Producing a Bright, Modulatable, Near-Infrared-Emitting Cluster

Photostability, inherent fluorescence brightness, and optical modulation of fluorescence are key attributes distinguishing silver nanoclusters as fluorophores. DNA plays a central role both by protecting the clusters in aqueous environments and by directing their formation. Herein, we characterize a new near-infrared-emitting cluster with excitation and emission maxima at 750 and 810 nm, respectively, that is stabilized within C₃AC₃AC₃TC₃A. Following chromatographic resolution of the near-infrared species, a stoichiometry of 10 Ag/oligonucleotide was determined. Combined with excellent photostability, the cluster’s 30% fluorescence quantum yield and 180 000 M⁻¹ cm⁻¹ extinction coefficient give it a fluorescence brightness that significantly improves on that of the organic dye Cy7. Fluorescence correlation analysis shows an optically accessible dark state that can be directly depopulated with longer wavelength coillumination. The coupled increase in total fluorescence demonstrates that enhanced sensitivity can be realized through Synchronously Amplified Fluorescence Image Recovery (SAFIRe), which further differentiates this new fluorophore

High-Throughput Next-Generation Sequencing Respiratory Viral Panel: A Diagnostic and Epidemiologic Tool for SARS-CoV-2 and Other Viruses

Two serious public health challenges have emerged in the current COVID-19 pandemic namely, deficits in SARS-CoV-2 variant monitoring and neglect of other co-circulating respiratory viruses. Additionally, accurate assessment of the evolution, extent, and dynamics of the outbreak is required to understand the transmission of the virus. To address these challenges, we evaluated 533 samples using a high-throughput next-generation sequencing (NGS) respiratory viral panel (RVP) that includes 40 viral pathogens. The performance metrics revealed a PPA, NPA, and accuracy of 95.98%, 85.96%, and 94.4%, respectively. The clade for pangolin lineage B that contains certain distant variants, including P4715L in ORF1ab, Q57H in ORF3a, and S84L in ORF8 covarying with the D614G spike protein mutation, were the most prevalent early in the pandemic in Georgia, USA. The isolates from the same county formed paraphyletic groups, indicating virus transmission between counties. The study demonstrates the clinical and public health utility of the NGS-RVP to identify novel variants that can provide actionable information to prevent or mitigate emerging viral threats and models that provide insights into viral transmission patterns and predict transmission/resurgence of regional outbreaks as well as providing critical information on co-circulating respiratory viruses that might be independent factors contributing to the global disease burden