Microbial community structure and dynamics in thermophilic composting viewed through metagenomics and metatranscriptomics

Composting is a promising source of new organisms and thermostable enzymes that may be helpful in environmental management and industrial processes. Here we present results of metagenomicand metatranscriptomic-based analyses of a large composting operation in the Sao Paulo Zoo Park. This composting exhibits a sustained thermophilic profile (50 degrees C to 75 degrees C), which seems to preclude fungal activity. The main novelty of our study is the combination of time-series sampling with shotgun DNA, 16S rRNA gene amplicon, and metatranscriptome high-throughput sequencing, enabling an unprecedented detailed view of microbial community structure, dynamics, and function in this ecosystem. The time-series data showed that the turning procedure has a strong impact on the compost microbiota, restoring to a certain extent the population profile seen at the beginning of the processand that lignocellulosic biomass deconstruction occurs synergistically and sequentially, with hemicellulose being degraded preferentially to cellulose and lignin. Moreover, our sequencing data allowed near-complete genome reconstruction of five bacterial species previously found in biomass-degrading environments and of a novel biodegrading bacterial species, likely a new genus in the order Bacillales. The data and analyses provided are a rich source for additional investigations of thermophilic composting microbiology.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Provost's Office for Research of the University of Sao PauloCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Sao Paulo, Inst Quim, Dept Bioquim, Sao Paulo, BrazilUniv Sao Paulo, Programa Pos Graduacao Interunidades Bioinformat, Sao Paulo, BrazilUniv Sao Paulo, Escola Artes Ciencias & Humanidades, Sao Paulo, Brazil|Fundacao Parque Zool Sao Paulo, Sao Paulo, BrazilUniv Fed Sao Paulo, Dept Ciencias Biol, Sao Paulo, BrazilBiocomplex Inst Virginia, Blacksburg, VA USADepartamento de Ciências Biológicas, Universidade Federal de São Paulo, São Paulo, BrazilFAPESP: 2011/50870-6Web of Scienc

Caravela: a new metagenomic browser

Metagenômica é a técnica que permite analisar os genomas de microorganismos que habitam determinados nichos do ambiente sem a necessidade de isolar e cultivar cada um separadamente. Ao conjunto de microorganismos que habita um determinado nicho se dá o nome de microbi- oma. Análises do perfil da diversidade taxonômica e funcional de comunidades microbianas em microbiomas são comuns em estudos de metagenômica. No entanto, atualmente as plata- formas de uso geral (como MG-RAST e IMG/M) tendem a separar as análises baseadas em reads (sequências não montadas) das baseadas em contigs (sequências montadas), isto dificulta as análises destes dados. Motivado por esta separação, desenvolvemos uma plataforma web, batizada de CARAVELA, que facilita a conexão entre os resultados de análises de diversidade taxonômica e funcional baseadas em reads e contigs respectivamente. Uma das principais fun- ções da plataforma CARAVELA é associar a identificação taxonômica de cada read com o contig que este read faz parte e, anotações funcionais do contig, quando existirem. Essa função deve permitir a rápida identificação de contigs potencialmente quiméricos bem como contigs taxonomicamente bem resolvidos. Também é possvel fazer buscas, tais como: listar todos os contigs que tenham um ou mais reads classificados como Pseudoxanthomonas suwonensis em sua composição e ainda, é possvel navegar nos contigs de maneira similar a navegadores de metagenomas tradicionais. Podem ser utilizados como arquivos de entrada a sada de outros programas, desde que o formato atenda certos padrões. A plataforma CARAVELA foi desenvol- vida com Java, HTML, CSS, Javascript e Mysql, e com o fim de testar a ferramenta, utilizamos o conjunto de dados metagnômicos obtidos a partir da operação de compostagem do Parque Zoológico de São Paulo.The taxonomic diversity analysis (read-based) and functional analysis (contig / gene-based) from metagenomic studies usually generate information that is complementary. However, the tools that produce gene annotations (eg IMG / M) and taxonomic assignments (eg MyTaxa) do not allow easy integration of these results. Motivated by this split, we are develop a web platform called Caravela to facilitate the integration, search and visualization of information provided by read-based analyzes and contig / gene-based analyzes. The tool is able to display the list of contigs and for each contig, it displays annotated genes, reads participating in its composition and rate associated with each read (when such association exists). Such a capability enable manual / automated curation of assembly as well as taxonomic assignments (detection of possible mis-assignments). The platform able to accept output files from a variety of tools, as long as the file formats follow certain standards. The tests was performed on a dataset of metagenomic reads obtained from the composting operation of the São Paulo Zoological Park. The tool was implemented using Java technology, HTML, CSS and Javascript. Information was stored in a MySQL database

Computational tool for epitope prediction in Trypanosoma cruzi antigens based on phage display data

<p>The epitopes of antigenic (protein) sequences are small sections of these proteins (usually between 10 and 30 aa). These are the sections that bind to antibodies. Knowing them and the proteins to which they belong is fundamental for the development of vaccines, diagnostic tests and other therapeutic options for infectious and parasitic diseases such as Chagas disease caused by <i>Trypanosoma cruzi</i>. In this work, we present the initial steps in developing a computational tool for predicting epitopes in <i>T. cruzi</i> antigens based on phage display data. Phage display (PD) involves the insertion of a DNA fragment into a bacteriophage (phage) surface coat protein gene, allowing the corresponding peptide encoded by the exogenous DNA fragment to be displayed on the phage surface. If this peptide is a fragment of an antigen recognized by a specific antibody present in the solution, the phage particle binds to the antibody, enabling its capture and isolation from the pool of phage particles. Our methodology comprises several stages: after pre-processing, we map PD fragments in the <i>T. cruzi </i>genome and identify all mapped segments, specifying their start and end positions. Subsequently, we employ multiple sequence alignment (MSA) on the peptides clustered within each segment to identify conserved regions and generate a consensus sequence. Following this, we conduct a quality control check on each set of results to assess if there are known epitopes matching the consensus sequences. Finally, we associate the epitopes with their respective antigens, using <i>T. cruzi </i>epitope data from the IEDB database for quality control. This methodology has been applied to the PD dataset from Teixeira et al. (2021), encompassing datasets from four groups of Chagas disease patients, with two cohorts (A and B) for each dataset, totaling 5,599,446 unprocessed PD sequences. In the mapping process, we identified 29,975 segments, with 28,589 and 1,386 segments from cohort A and B, respectively. A subset of segments was selected to evaluate the MSA and consensus sequence identification process, demonstrating high agreement with epitopes cataloged in the IEDB database. Currently, we are applying MSA to all mapped segments and evaluating the results. Additionally, we are concurrently working on identifying potential quality filters that could enhance the process.</p&gt

Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 licenseBackground: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Methods: This was a multicentre, international prospective cohort study of consecutive adult patients undergoing surgery for primary breast, colorectal, or gastric cancer requiring a skin incision done under general or neuraxial anaesthesia. The primary outcome was death or major complication within 30 days of surgery. Multilevel logistic regression determined relationships within three-level nested models of patients within hospitals and countries. Hospital-level infrastructure effects were explored with three-way mediation analyses. This study was registered with ClinicalTrials.gov, NCT03471494. Findings: Between April 1, 2018, and Jan 31, 2019, we enrolled 15 958 patients from 428 hospitals in 82 countries (high income 9106 patients, 31 countries; upper-middle income 2721 patients, 23 countries; or lower-middle income 4131 patients, 28 countries). Patients in LMICs presented with more advanced disease compared with patients in high-income countries. 30-day mortality was higher for gastric cancer in low-income or lower-middle-income countries (adjusted odds ratio 3·72, 95% CI 1·70–8·16) and for colorectal cancer in low-income or lower-middle-income countries (4·59, 2·39–8·80) and upper-middle-income countries (2·06, 1·11–3·83). No difference in 30-day mortality was seen in breast cancer. The proportion of patients who died after a major complication was greatest in low-income or lower-middle-income countries (6·15, 3·26–11·59) and upper-middle-income countries (3·89, 2·08–7·29). Postoperative death after complications was partly explained by patient factors (60%) and partly by hospital or country (40%). The absence of consistently available postoperative care facilities was associated with seven to 10 more deaths per 100 major complications in LMICs. Cancer stage alone explained little of the early variation in mortality or postoperative complications. Interpretation: Higher levels of mortality after cancer surgery in LMICs was not fully explained by later presentation of disease. The capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Early death after cancer surgery might be reduced by policies focusing on strengthening perioperative care systems to detect and intervene in common complications. Funding: National Institute for Health Research Global Health Research Unit

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide. Methods: A multimethods analysis was performed as part of the GlobalSurg 3 study—a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital. Findings: Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3·85 [95% CI 2·58–5·75]; p<0·0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63·0% vs 82·7%; OR 0·35 [0·23–0·53]; p<0·0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer. Interpretation: Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised. Funding: National Institute for Health and Care Research

Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report

International audienceThe Deep Underground Neutrino Experiment (DUNE) is an international, world-class experiment aimed at exploring fundamental questions about the universe that are at the forefront of astrophysics and particle physics research. DUNE will study questions pertaining to the preponderance of matter over antimatter in the early universe, the dynamics of supernovae, the subtleties of neutrino interaction physics, and a number of beyond the Standard Model topics accessible in a powerful neutrino beam. A critical component of the DUNE physics program involves the study of changes in a powerful beam of neutrinos, i.e., neutrino oscillations, as the neutrinos propagate a long distance. The experiment consists of a near detector, sited close to the source of the beam, and a far detector, sited along the beam at a large distance. This document, the DUNE Near Detector Conceptual Design Report (CDR), describes the design of the DUNE near detector and the science program that drives the design and technology choices. The goals and requirements underlying the design, along with projected performance are given. It serves as a starting point for a more detailed design that will be described in future documents

Outcomes from elective colorectal cancer surgery during the SARS‐CoV‐2 pandemic

Aim This study aimed to describe the change in surgical practice and the impact of SARS-CoV-2 on mortality after surgical resection of colorectal cancer during the initial phases of the SARS-CoV-2 pandemic. Method This was an international cohort study of patients undergoing elective resection of colon or rectal cancer without preoperative suspicion of SARS-CoV-2. Centres entered data from their first recorded case of COVID-19 until 19 April 2020. The primary outcome was 30-day mortality. Secondary outcomes included anastomotic leak, postoperative SARS-CoV-2 and a comparison with prepandemic European Society of Coloproctology cohort data. Results From 2073 patients in 40 countries, 1.3% (27/2073) had a defunctioning stoma and 3.0% (63/2073) had an end stoma instead of an anastomosis only. Thirty-day mortality was 1.8% (38/2073), the incidence of postoperative SARS-CoV-2 was 3.8% (78/2073) and the anastomotic leak rate was 4.9% (86/1738). Mortality was lowest in patients without a leak or SARS-CoV-2 (14/1601, 0.9%) and highest in patients with both a leak and SARS-CoV-2 (5/13, 38.5%). Mortality was independently associated with anastomotic leak (adjusted odds ratio 6.01, 95% confidence interval 2.58–14.06), postoperative SARS-CoV-2 (16.90, 7.86–36.38), male sex (2.46, 1.01–5.93), age >70 years (2.87, 1.32–6.20) and advanced cancer stage (3.43, 1.16–10.21). Compared with prepandemic data, there were fewer anastomotic leaks (4.9% versus 7.7%) and an overall shorter length of stay (6 versus 7 days) but higher mortality (1.7% versus 1.1%). Conclusion Surgeons need to further mitigate against both SARS-CoV-2 and anastomotic leak when offering surgery during current and future COVID-19 waves based on patient, operative and organizational risks

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation