In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

[Q]: Both antiseptic hand rubbing (AHR) using ethanol-based disinfectants (EBDs) and antiseptic hand washing (AHW) are important means of infection control to prevent seasonal influenza A virus (IAV) outbreaks. However, previous reports suggest a reduced efficacy of ethanol disinfection against pathogens in mucus. We aimed to elucidate the situations and mechanisms underlying the reduced efficacy of EBDs against IAV in infectious mucus. We evaluated IAV inactivation and ethanol concentration change using IAV-infected patients' mucus (sputum). Additionally, AHR and AHW effectiveness against infectious mucus adhering to the hands and fingers was evaluated in 10 volunteers. Our clinical study showed that EBD effectiveness against IAV in mucus was extremely reduced compared to IAV in saline. IAV in mucus remained active despite 120 s of AHR; however, IAV in saline was completely inactivated within 30 s. Due to the low rate of diffusion/convection because of the physical properties of mucus as a hydrogel, the time required for the ethanol concentration to reach an IAV inactivation level and thus for EBDs to completely inactivate IAV was approximately eight times longer in mucus than in saline. On the other hand, AHR inactivated IAV in mucus within 30 s when the mucus dried completely because the hydrogel characteristics were lost. Additionally, AHW rapidly inactivated IAV. Until infectious mucus has completely dried, infectious IAV can remain on the hands and fingers, even after appropriate AHR using EBD, thereby increasing the risk of IAV transmission. We clarified the ineffectiveness of EBD use against IAV in infectious mucus. IMPORTANCE Antiseptic hand rubbing (AHR) and antiseptic hand washing (AHW) are important to prevent the spread of influenza A virus (IAV). This study elucidated the situations/mechanisms underlying the reduced efficacy of AHR against infectious mucus derived from IAV-infected individuals and indicated the weaknesses of the current hand hygiene regimens. Due to the low rate of diffusion/convection because of the physical properties of mucus as a hydrogel, the efficacy of AHR using ethanolbased disinfectant against mucus is greatly reduced until infectious mucus adhering to the hands/fingers has completely dried. If there is insufficient time before treating the next patient (i.e., if the infectious mucus is not completely dry), medical staff should be aware that effectiveness of AHR is reduced. Since AHW is effective against both dry and nondry infectious mucus, AHW should be adopted to compensate for these weaknesses of AHR. FIG 1 Analysis of the physical properties of mucus from 19 influenza A virus-infected patients. (A) Rheological analysis: mean, maximum, and minimum viscosities of mucus (sputum) samples at different shear rates (left panel). Shown is a comparison of mucus and saline viscosities at different shear rates (right panel). (B) Average parameters measured for saline and mucus samples: contact angles, surface tension, and densities at different temperatures. (C) Time required for saline and mucus to completely dry (complete drying time). (D) Ethanol diffusion coefficients of saline and mucus exposed to an 80% ethanol concentration. Situations of Reduced Hand Hygiene Effectiveness September/October 2019 Volume 4 Issue 5 e00474-19 msphere.asm.org 3 FIG 6 Additional fluid simulation of changes in the ethanol concentrations in mucus. (A) Addition of 95 l of 80% ethanol to 5 l saline was modeled in OpenFOAM, demonstrating the disappearance over time of the region with Ͻ31% ethanol (shown in red). See also Movie S1. (B) Addition of 95 l of 80% ethanol to 5 l mucus was modeled. The simulation was performed under conditions of reduced viscosity (16.7% of the actual measurement value) because of the long time required for disappearance of the concentration region of Ͻ31%. See also Movie S2.
[A]: Situations Leading to Reduced Effectiveness of Current Hand Hygiene against Infectious Mucus from Influenza Virus- Infected Patients


[Q]: Motivation: Deep sequencing of clinical samples is now an established tool for the detection of infectious pathogens, with direct medical applications. The large amount of data generated produces an opportunity to detect species even at very low levels, provided that computational tools can effectively profile the relevant metagenomic communities. Data interpretation is complicated by the fact that short sequencing reads can match multiple organisms and by the lack of completeness of existing databases, in particular for viral pathogens. Here we present metaMix, a Bayesian mixture model framework for resolving complex metagenomic mixtures. We show that the use of parallel Monte Carlo Markov chains for the exploration of the species space enables the identification of the set of species most likely to contribute to the mixture. Results: We demonstrate the greater accuracy of metaMix compared with relevant methods, particularly for profiling complex communities consisting of several related species. We designed metaMix specifically for the analysis of deep transcriptome sequencing datasets, with a focus on viral pathogen detection; however, the principles are generally applicable to all types of metagenomic mixtures. Availability and implementation: metaMix is implemented as a user friendly R package, freely available on CRAN: http://cran.r-project.org/web/packages/metaMix Contact: sofia.morfopoulou.10@ucl.ac.uk Supplementary information: Supplementary data are available at Bionformatics online.
[A]: Bayesian mixture analysis for metagenomic community profiling


[Q]: Word Count: 204 (Excludes title and key words) Text Word Count: 4,662 (Main text; excludes "Abstract" and "Importance") Disclaimers Not applicable The incidence of locally acquired dengue infections increased during the last decade in the United States, compelling a sustained research effort on the dengue mosquito vector, Aedes aegypti, and its microbiome, which has been shown to influence virus transmission success. We examined the 'metavirome' of four populations of Ae. aegypti mosquitoes collected in 2016-2017 from Manatee County, Florida. Unexpectedly, we discovered that dengue virus serotype 4 (DENV4) was circulating in these mosquito populations, representing the first documented case of such a phenomenon in the absence of a local DENV4 human case in this county over a two-year period. We confirmed that all of the mosquito populations carried the same DENV4 strain, assembled its full genome, validated infection orthogonally by reverse transcriptase PCR, traced the virus origin, estimated the time period of its introduction to the Caribbean region, as well as explored the viral genetic signatures and mosquito-specific virome associations that potentially mediated DENV4 persistence in mosquitoes. We discuss the significance of prolonged maintenance of these DENV4 infections in Ae. aegypti that occurred in the absence of a DENV4 human index case in Manatee County with respect to the inability of current surveillance paradigms to detect mosquito vector infections prior to a potential local outbreak. Since 1999, dengue outbreaks in the continental United States (U.S.) involving local transmission have occurred episodically and only in Florida and Texas. In Florida, these episodes appear to be coincident with increased introductions of dengue virus into the region through human travel and migration from endemic countries. To date, the U.S. public health author/funder. All rights reserved. No reuse allowed without permission. : bioRxiv preprint 5 response to dengue outbreaks is largely reactive, and implementation of comprehensive arbovirus surveillance in advance of predictable transmission seasons, which would enable proactive preventative efforts, remains unsupported. The significance of our finding is that it is the first documented report of non-outbreak DENV4 transmission and maintenance within a local mosquito vector population in the continental U.S.in the absence of a human case during a two-year time period. Our data suggest that molecular surveillance of mosquito populations in high-risk, high tourism areas of the U.S., may allow for proactive, targeted vector control before potential arbovirus outbreaks. : bioRxiv preprint 7 have been maintained vertically for at least one generation (but potentially more) in these Ae. 24 aegypti mosquito populations along Florida's Gulf Coast. We followed up this unexpected 25 finding with genetic analyses to determine the DENV4 strain's likely location of origin, assess 26 the timeframe of virus introduction, and investigate strain-specific mutations that may have 27 enabled adaptation to and/or persistence within local mosquito populations. 28 29 Methods 30 Mosquito sample preparation and viral RNASeq 31 Ae. aegypti eggs were collected in ovitraps in the summers of 2016-2017 (May 15, 2016, and 32 June 19, 2017) from four Manatee County sites (Fig. 1a) . To avoid cross contamination of 33 mosquito viromes, each year eggs from each site were hatched independently in distilled 34 water, reared to adulthood, speciated and then frozen. Female abdomens were pooled (N= 35 20/pool) separately for the four collection sites for a total of eight individual pools. Total RNA 36 was extracted using the AllPrep DNA/RNA Mini Kit (Qiagen), and rRNA depleted with the 37 NEBNext rRNA Depletion Kit (New England BioLabs). The NEBNext Ultra II Directional RNA 38 Library Prep Kit (New England BioLabs) was used to prepare shotgun metagenomics libraries. 39 Reverse-transcribed RNA libraries were sequenced using a HiSeq 3000 (Illumina) instrument 40 in 2x101 run mode. The data were deposited into the NCBI Sequence Read Archive and 41 Biosample archive under BioProject PRJNA547758. 42 43 Initial assembly and metavirome analysis 44 BBduk (version 37.75; https://sourceforge.net/projects/bbmap/) was used to trim adaptor 45 sequences and remove contaminants. Ae. aegypti sequences were removed using BBsplit 46 author/funder. All rights reserved. No reuse allowed without permission. : bioRxiv preprint 9 assembly with Spades in meta mode [8] and classification using Diamond [9] for a complete 71 DENV4 genome. Read-mapping with Bowtie [10] revealed incorrect bases near the 3' end, 72 which were manually corrected. The genome was annotated using the Genome Annotation 73 Transfer Utility [16] from the Virus Pathogen Database and Analysis Resource (ViPR) [17]. 74 75 Phylogenetic and Molecular Clock analyses 76 Two hundred thirty-four DENV4 genome sequences from GenBank (Table S1) were aligned 77 using MAFFT version 7.407 [18] with the L-INS-I method [19]. IQ-TREE software [20] was 78 used to evaluate phylogenetic signal in the genomes by likelihood mapping [21] and to infer 79 maximum likelihood (ML) phylogeny based on the best-fit model according to the Bayesian 80 Information Criterion (BIC) [20, 22]. Statistical robustness for internal branching order was 81 assessed by Ultrafast Bootstrap (BB) Approximation (2,000 replicates), and strong statistical 82 support was defined as BB>90% [23]. 83 84 To estimate when DENV4 entered Florida, we used 145 strains including all isolates from the 85 Americas, related Asian and African isolates, and randomly reduced oversampled Brazilian 86 isolates. The strains in this dataset were not recombinant, as assessed by scanning the 87 alignments for possible recombination points using the RDP, GENECONV, MaxChi, 88 CHIMAERA, and 3Seq algorithms implemented in the RDP4 software (available from 89 http://web.cbio.uct.ac.za/~darren/rdp.html) [24]. Correlation between root-to-tip genetic 90 divergence and date of sampling was conducted [25] to assess clock signal before Bayesian 91 phylodynamic analysis. Time-scaled trees were reconstructed using the Bayesian 92 phylodynamic inference framework in BEAST v.1.8.4 [26,27]. Markov Chain Monte Carlo 93 (MCMC) samplers were run until 200/250 million generations to ensure Markov chain mixing, 94 author/funder. All rights reserved. No reuse allowed without permission.
[A]:
Article type: Research Article Title: Under-the-radar dengue virus infections in natural populations of Aedes aegypti mosquitoes Running title: Dengue virus maintenance in mosquito vectors