Data-Driven Engineering of Phages with Tunable Capsule Tropism for Klebsiella pneumoniae.

Klebsiella pneumoniae, a major clinical pathogen known for causing severe infections, is attracting heightened attention due to its escalating antibiotic resistance. Phages are emerging as a promising alternative to antibiotics; however, their specificity to particular hosts often restricts their use. In this study, a collection of 114 phages is obtained and subjected to analysis against 238 clinical K. pneumoniae strains, revealing a spectrum of lytic behaviors. A correlation between putative tail protein clusters and lysis patterns leads to the discovery of six receptor-binding protein (RBP) clusters that determine host capsule tropism. Significantly, RBPs with cross-capsular lysis capabilities are identified. The newly-identified RBPs provide a toolbox for customizing phages to target diverse capsular types. Building on the toolbox, the engineered phages with altered RBPs successfully shifted and broadened their host capsule tropism, setting the stage for tunable phage that offer a precise and flexible solution to combat K. pneumoniae infections.

Genomic epidemiology reveals multiple mechanisms of linezolid resistance in clinical enterococci in China.

BACKGROUND: Infections caused by linezolid-resistant enterococci (LRE) are clinically difficult to treat and threaten patient health. However, there is a lack of studies on long time-span LRE strains in China. For this reason, our study comprehensively revealed the resistance mechanisms of LRE strains collected in a Chinese tertiary care hospital from 2011 to 2022. METHODS: Enterococcal strains were screened and verified after retrospective analysis of microbial data. Subsequently, 65 LRE strains (61 Enterococcus faecalis and 4 Enterococcus faecium, MIC ≥ 8 µg/ml), 1 linezolid-intermediate Enterococcus faecium (MIC = 4 µg/ml) and 1 linezolid-susceptible Enterococcus faecium (MIC = 1.5 µg/ml) were submitted for whole-genome sequencing (WGS) analysis and bioinformatics analysis. RESULTS: The optrA gene was found to be the most common linezolid resistance mechanism in our study. We identified the wild-type OptrA and various OptrA variants in 98.5% of LRE strains (61 Enterococcus faecalis and 3 Enterococcus faecium). We also found one linezolid-resistant Enterococcus faecium strain carried both optrA and cfr(D) gene, while one linezolid-resistant Enterococcus faecium only harbored the poxtA gene. Most optrA genes (55/64) were located on plasmids, with impB-fexA-optrA, impB-fexA-optrA-erm(A), fexA-optrA-erm(A), and fexA-optrA segments. A minority of optrA genes (9/64) were found on chromosomes with the Tn6674-like platform. Besides, other possible linezolid resistance-associated mechanisms (mutations in the rplC and rplD genes) were also found in 26 enterococcal strains. CONCLUSIONS: Our study suggested that multiple mechanisms of linezolid resistance exist among clinical LRE strains in China.

Dynamic analysis of SARS-CoV-2 evolution based on different countries.

Since late 2019, COVID-19 has significantly impacted the world. Understanding the evolution of SARS-CoV-2 is crucial for protecting against future infectious pathogens. In this study, we conducted a comprehensive chronological analysis of SARS-CoV-2 evolution by examining mutation prevalence from the source countries of VOCs: United Kingdom, India, Brazil, South Africa, plus two countries: United States, Russia, utilizing genomic sequences from GISAID. Our methodological approach involved large-scale genomic sequence alignment using MAFFT, Python-based data processing on a high-performance computing platform, and advanced statistical methods the Maximal Information Coefficient (MIC), and also Long Short-Term Memory (LSTM) models for correlation analysis. Our findings elucidate the dynamics of SARS-CoV-2 evolution, highlighting the virus's changing behaviour over various pandemic stages. Key results include the discovery of three temporal mutation patterns-lineage distinct, long-span, and competitive mutations-with varying levels of impact on the virus. Notably, we observed a convergence of advantageous mutations in the spike protein, especially in the later stages of the pandemic, indicating a substantial evolutionary pressure on the virus. One of the most significant revelations is the predominant role of natural immunity over vaccination-induced immunity in driving these evolutionary changes. This emphasizes the critical need for regular vaccine updates to maintain efficacy against evolving strains. In conclusion, our study not only sheds light on the evolutionary trajectory of SARS-CoV-2 but also underscores the urgency for robust, continuous global data collection and sharing. It highlights the necessity for rapid adaptations in medical countermeasures, including vaccine development, to stay ahead of pathogen evolution. This research provides valuable insights for future pandemic preparedness and response strategies.

VarEPS-Influ:an risk evaluation system of occurred and virtual variations of influenza virus genomes.

Influenza viruses undergo frequent genomic mutations, leading to potential cross-species transmission, phenotypic changes, and challenges in diagnostic reagents and vaccines. Accurately evaluating and predicting the risk of such variations remain significant challenges. To address this, we developed the VarEPS-Influ database, an influenza virus variations risk evaluation system (VarEPS-Influ). This database employs a 'multi-dimensional evaluation of mutations' strategy, utilizing various tools to assess the physical and chemical properties, primary, secondary, and tertiary structures, receptor affinity, antibody binding capacity, antigen epitopes, and other aspects of the variation's impact. Additionally, we consider space-time distribution, host species distribution, pedigree analysis, and frequency of mutations to provide a comprehensive risk evaluation of mutations and viruses. The VarEPS-Influ database evaluates both observed variations and virtual variations (variations that have not yet occurred), thereby addressing the time-lag issue in risk predictions. Our current one-stop evaluation system for influenza virus genomic variation integrates 1065290 sequences from 224 927 Influenza A, B and C isolates retrieved from public resources. Researchers can freely access the data at https://nmdc.cn/influvar/.

gcPathogen: a comprehensive genomic resource of human pathogens for public health.

Here, we present the manually curated Global Catalogue of Pathogens (gcPathogen), an extensive genomic resource designed to facilitate rapid and accurate pathogen analysis, epidemiological exploration and monitoring of antibiotic resistance features and virulence factors. The catalogue seamlessly integrates and analyzes genomic data and associated metadata for human pathogens isolated from infected patients, animal hosts, food and the environment. The pathogen list is supported by evidence from medical or government pathogenic lists and publications. The current version of gcPathogen boasts an impressive collection of 1 164 974 assemblies comprising 986 044 strains from 497 bacterial taxa, 4794 assemblies encompassing 4319 strains from 265 fungal taxa, 89 965 assemblies featuring 13 687 strains from 222 viral taxa, and 646 assemblies including 387 strains from 159 parasitic taxa. Through this database, researchers gain access to a comprehensive 'one-stop shop' that facilitates global, long-term public health surveillance while enabling in-depth analysis of genomes, sequence types, antibiotic resistance genes, virulence factors and mobile genetic elements across different countries, diseases and hosts. To access and explore the data and statistics, an interactive web interface has been developed, which can be accessed at https://nmdc.cn/gcpathogen/. This user-friendly platform allows seamless querying and exploration of the extensive information housed within the gcPathogen database.

Agromyces chromiiresistens sp. nov., Novosphingobium album sp. nov., Sphingobium arseniciresistens sp. nov., Sphingomonas pollutisoli sp. nov., and Salinibacterium metalliresistens sp. nov.: five new members of Microbacteriaceae and Sphingomonadaceae from polluted soil.

There are many unidentified microbes in polluted soil needing to be explored and nominated to benefit the study of microbial ecology. In this study, a taxonomic research was carried out on five bacterial strains which were isolated and cultivated from polycyclic aromatic hydrocarbons, and heavy metals polluted soil of an abandoned coking plant. Phylogenetical analysis showed that they belonged to the phyla Proteobacteria and Actinobacteria, and their 16S rRNA gene sequence identities were lower than 98.5% to any known and validly nominated bacterial species, suggesting that they were potentially representing new species. Using polyphasic taxonomic approaches, the five strains were classified as new species of the families Microbacteriaceae and Sphingomonadaceae. Genome sizes of the five strains ranged from 3.07 to 6.60 Mb, with overall DNA G+C contents of 63.57-71.22 mol%. The five strains had average nucleotide identity of 72.38-87.38% and digital DNA-DNA hybridization of 14.0-34.2% comparing with their closely related type strains, which were all below the thresholds for species delineation, supporting these five strains as novel species. Based on the phylogenetic, phylogenomic, and phenotypic characterizations, the five novel species are proposed as Agromyces chromiiresistens (type strain H3Y2-19aT = CGMCC 1.61332T), Salinibacterium metalliresistens (type strain H3M29-4T = CGMCC 1.61335T), Novosphingobium album (type strain H3SJ31-1T = CGMCC 1.61329T), Sphingomonas pollutisoli (type strain H39-1-10T = CGMCC 1.61325T), and Sphingobium arseniciresistens (type strain H39-3-25T = CGMCC 1.61326T). Comparative genome analysis revealed that the species of the family Sphingomonadaceae represented by H39-1-10T, H39-3-25T, and H3SJ31-1T possessed more functional protein-coding genes for the degradation of aromatic pollutants than the species of the family Microbacteriaceae represented by H3Y2-19aT and H3M29-4T. Furthermore, their capacities of resisting heavy metals and metabolizing aromatic compounds were investigated. The results indicated that strains H3Y2-19aT and H39-3-25T were robustly resistant to chromate (VI) and/or arsenite (III). Strains H39-1-10T and H39-3-25T grew on aromatic compounds, including naphthalene, as carbon sources even in the presence of chromate (VI) and arsenite (III). These features reflected their adaptation to the polluted soil environment.

Solibacillus daqui sp. nov., isolated from high-temperature Daqu.

A Gram-stain-positive, rod-shaped, endospore-forming, aerobic bacterial strain, designated ZS111008T, was isolated from high-temperature Daqu, a starter for production of Chinese Jiang-flavour Baijiu, and was characterized by polyphasic taxonomy. This novel isolate grew in the presence of 0-5 % (w/v) NaCl, at pH 6.0-9.0 and 25-45 °C; optimum growth was observed with 1 % (w/v) NaCl, at pH 8.0 and 30 °C. A comparative analysis of the 16S rRNA gene sequence (1461 bp) of strain ZS111008T showed highest similarity to Solibacillus silvestris DSM12223T (96.7%), followed by Solibacillus cecembensis PN5T (96.6%) and Solibacillus isronensis AMCK01000046 (96.5%). The DNA G+C content of strain ZS111008T was 37.21 mol%. The respiratory quinone was identified as menaquinone-7 and the major polar lipids were diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, phosphatidylserine and one unknown phospholipid. Lys was detected as the diagnostic diamino acid in the cell wall. Based on morphological characteristics, chemotaxonomic characteristics and physiological properties, strain ZS111008T represents a novel species of the genus Solibacillus, for which the name Solibacillus daqui sp. nov. is proposed. The type strain for this proposed species is ZS111008T (=CGMCC 1.19455T=JCM 35214T).

Large-scale genomic survey and characterization of mcr genes carried by foodborne Cronobacter isolates.

IMPORTANCE: Cronobacter is an emerging foodborne opportunistic pathogen, which can cause neonatal meningitis, bacteremia, and NEC by contaminating food. However, the entire picture of foodborne Cronobacter carriage of the mcr genes is not known. Here, we investigated the mcr genes of Cronobacter isolates by whole-genome sequencing and found 133 previously undescribed Cronobacter isolates carrying mcr genes. Further genomic analysis revealed that these mcr genes mainly belonged to the mcr-9 and mcr-10. Genomic analysis of the flanking structures of mcr genes revealed that two core flanking structures were prevalent in foodborne Cronobacter isolates, and the flanking structure carrying IS1R was found for the first time in this study.

Lentibacillus daqui sp. nov., isolated from high-temperature Daqu, a starter for production of Chinese Jiang-flavour Baijiu.

A Gram-stain-positive, rod-shaped, endospore-forming, aerobic bacterial strain, designated ZS110521T, was isolated from high-temperature Daqu, a starter for production of Chinese Jiang-flavour Baijiu and was characterised by polyphasic taxonomy. This novel isolate grew in the presence of 0-20 % (w/v) NaCl, at pH 6.0-9.0 and 20-50 °C; optimum growth was observed with 8-10 % (w/v) NaCl, at pH 7.0 and 37 °C. A comparative analysis of the 16S rRNA gene sequence (1460 bp) of ZS110521T revealed that it displayed the highest similarity to Lentibacillus populi WD4L-1T (95.5 %), followed by Lentibacillus garicola SL-MJ1T (95.4 %) and Lentibacillus lacisalsi BH260T (95.2 %). ANI and dDDH values between ZS110521T and other strains of species of the genus Lentibacillus were less than 78 and 28 %, respectively. The predominant cellular fatty acids (> 10 %) of ZS110521T were anteiso-C17 : 0 (37.8 %), anteiso-C15 : 0 (28.1 %) and iso-C16 : 0 (15.5 %). The respiratory quinone was identified as menaquinone-7 (MK-7) and the major polar lipids were diphosphatidylglycerol and phosphatidylglycerol. The polyphasic taxonomic data and the results of chemotaxonomic analysis confirmed that ZS110521T represents a novel species, for which the name Lentibacillus daqui sp. nov. is proposed. The type strain of this proposed species is ZS110521T (=CGMCC 1.19456T =JCM 35213T).

Structural basis for receptor binding and broader interspecies receptor recognition of currently circulating Omicron sub-variants.

Multiple SARS-CoV-2 Omicron sub-variants, such as BA.2, BA.2.12.1, BA.4, and BA.5, emerge one after another. BA.5 has become the dominant strain worldwide. Additionally, BA.2.75 is significantly increasing in some countries. Exploring their receptor binding and interspecies transmission risk is urgently needed. Herein, we examine the binding capacities of human and other 28 animal ACE2 orthologs covering nine orders towards S proteins of these sub-variants. The binding affinities between hACE2 and these sub-variants remain in the range as that of previous variants of concerns (VOCs) or interests (VOIs). Notably, R493Q reverse mutation enhances the bindings towards ACE2s from humans and many animals closely related to human life, suggesting an increased risk of cross-species transmission. Structures of S/hACE2 or RBD/hACE2 complexes for these sub-variants and BA.2 S binding to ACE2 of mouse, rat or golden hamster are determined to reveal the molecular basis for receptor binding and broader interspecies recognition.

Complete Genome Sequence of Vulcanisaeta souniana Strain IC-059, a Hyperthermophilic Archaeon Isolated from Hot Spring Water in Japan.

Vulcanisaeta souniana strain IC-059T (=JCM 11219T) is an anaerobic hyperthermophilic archaeon isolated from a Japanese hot spring field. Here, we report the complete genome sequence (2.43 Mbp) of this strain using a hybrid approach with Illumina short-read sequencing and Nanopore long-read sequencing.

Ancylobacter moscoviensis sp. nov., novel facultatively methylotrophic bacteria from activated sludge and the reclassification of Starkeya novella (Starkey 1934) Kelly et al. 2000 as Ancylobacter novellus comb. nov., Starkeya koreensis Im et al. 2006 as Ancylobacter koreensis comb.nov., Angulomicrobium tetraedrale Vasil'eva et al. 1986 as Ancylobacter tetraedralis comb. nov., Angulomicrobium amanitiforme Fritz et al. 2004 as Ancylobacter amanitiformis comb. nov., and Methylorhabdus multivorans Doronina et al. 1996 as Ancylobacter multivorans comb. nov., and emended description of the genus Ancylobacter.

Three novel facultatively methylotrophic bacteria, strains 3CT, 1A, 8P, were isolated from activated sludges. The isolates were aerobic, Gram-stain-negative, non-motile, non-spore forming rods multiplying by binary fission. The predominant polar lipids were phosphatidylcholine, phosphatidylglycerol, phosphatidylethylethanolamine, phosphatidylmonomethylethanolamine, and diphosphatidylglycerol. The major fatty acids of cells were С18:1ω7c, C19:0ω8c cyclo and C16:0. Levels of 16S rRNA gene similarity indicates that the closely relatives are representatives of the genera Starkeya, Ancylobacter, Angulomicrobium and Methylorhabdus (96.4-99.4%). Genomic comparisons of 3CT and its closest relatives, S. novella DSM 506T and S. koreensis Jip08T, shared 87.3 and 86.8% nucleotide identity and 28.3 and 26.8% digital DNA-DNA hybridization values, respectively. The average amino acid identities between the strain 3CT and representatives of Starkeya, Ancylobacter and Angulomicrobium were in the range of 75.6-84.3%, which combines these strains into a single genus and gives rise to their reclassification. Based on polyphasic analyses, the strains 3CT, 1A, 8P represents a novel species of the genus Ancylobacter, for which the name Ancylobacter moscoviensis sp. nov. is proposed. The type strain is 3CT (= VKM B-3218T = KCTC 62336T). Furthermore, we also suggested the reclassification of Starkeya novella as Ancylobacter novellus comb. nov., Starkeya koreensis as Ancylobacter koreensis comb. nov., Angulomicrobium tetraedrale as Ancylobacter tetraedralis comb. nov., Angulomicrobium amanitiforme as Ancylobacter amanitiformis comb. nov. and Methylorhabdus multivorans as Ancylobacter multivorans comb. nov. with the emended description of the genus Ancylobacter.

Fungal names: a comprehensive nomenclatural repository and knowledge base for fungal taxonomy.

Fungal taxonomy is a complex and rapidly changing subject, which makes proper naming of fungi challenging for taxonomists. A registration platform with a standardized and information-integrated database is a powerful tool for efficient research on fungal taxonomy. Fungal Names (FN, https://nmdc.cn/fungalnames/; launched in 2011) is one of the three official fungal nomenclatural repositories authorized by the International Nomenclature Committee for Fungi (NCF). Currently, FN includes >567 000 taxon names from >10 000 related journals and books published since 1596 and covers >147 000 collection records of type specimens/illustrations from >5000 preserving agencies. FN is also a knowledge base that integrates nomenclature information with specimens, culture collections and herbaria/fungaria, publications and taxonomists, and represents a summary of the history and recent advances in fungal taxonomy. Published fungal names are categorized based on well-accepted nomenclature rules and can be readily searched with different keywords and strategies. In combination with a standardized name checking tool and a sequence alignment-based identification package, FN makes the registration and typification of nomenclatural novelties of fungi convenient and accurate.

Draft genome sequencing data of the moderately halophilic bacterium, Allobacillus halotolerans SKP2-8 from shrimp paste (ka-pi).

A moderately halophilic, Gram-stain-positive, spore-forming rod-shaped bacterium, designated SKP2-8 was isolated from a traditional fermented shrimp paste (Ka-pi) collected from the market in Samut Sakhon province, Thailand. This isolate SKP2-8 was closely related to Allobacillus halotolerans LMG 24826T with 99.56% similarity based on 16S rRNA gene sequence. The draft genome of SKP2-8 was 2.53 Mb with 2,515 coding sequences with an average G+C content of 39.5 mol%. The ANIb, ANIm, AAI and the digital DNA-DNA hybridization values of isolate SKP2-8 were 97.22%, 97.64%, 97.75% and 78.0%, respectively, compared with A. halotolerans LMG 24826T. Based on the phenotypic characteristics, DNA-DNA relatedness and phylogenomic analysis, it was identified as Allobacillus halotolerans. The genome sequence data of this isolate provide information for further analysis of the potential biotechnological use of this microorganism and guide the characterization. The draft genome was deposited at DDBJ/ EMBL/GenBank (DNA Databank of Japan/European Molecular Biology Laboratory/Genbank) (VMHF00000000).

Relatively rapid evolution rates of SARS-CoV-2 spike gene at the primary stage of massive vaccination.

A series of stringent non-pharmacological and pharmacological interventions were implemented to contain the pandemic but the pandemic continues. Moreover, vaccination breakthrough infection and reinfection in convalescent coronavirus disease 2019 (COVID-19) cases have been reported. Further, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants emerged with mutations in spike (S) gene, the target of most current vaccines. Importantly, the mutations exhibit a trend of immune escape from the vaccination. Herein the scientific question that if the vaccination drives genetic or antigenic drifts of SARS-CoV-2 remains elusive. We performed correlation analyses to uncover the impacts of wide vaccination on epidemiological characteristics of COVID-19. In addition, we investigated the evolutionary dynamics and genetic diversity of SARS-CoV-2 under immune pressure by utilizing the Bayesian phylodynamic inferences and the lineage entropy calculation respectively. We found that vaccination coverage was negatively related to the infections, severe cases, and deaths of COVID-19 respectively. With the increasing vaccination coverage, the lineage diversity of SARS-CoV-2 dampened, but the rapid mutation rates of the S gene were identified, and the vaccination could be one of the explanations for driving mutations in S gene. Moreover, new epidemics resurged in several countries with high vaccination coverage, questioning their current pandemic control strategies. Hence, integrated vaccination and non-pharmacological interventions are critical to control the pandemic. Furthermore, novel vaccine preparation should enhance its capabilities to curb both disease severity and infection possibility.

Comparative Genomics Unveils the Habitat Adaptation and Metabolic Profiles of Clostridium in an Artificial Ecosystem for Liquor Production.

Clostridium inhabiting pit mud (PM) is one of the important bacterial populations for synthesizing flavor compounds of Chinese strong-flavor baijiu. The long-term cereal fermentation with sorghum as the main raw material creates an environment rich in starch, ethanol, and organic acids (mainly lactic acid). However, the genetic factors underpinning Clostridium's adaptation to PM remain poorly understood. Here, we performed comparative genomic analysis between 30 pit mud-associated (PMA) and 100 non-pit mud-associated (NPMA) Clostridium strains. Comparison analysis of the enrichment of KEGG pathways between PMA and NPMA Clostridium strains showed two-component system, flagellar assembly, and bacterial chemotaxis pathways related to environmental adaptation were enriched in PMA strains. The number of genes encoding alcohol dehydrogenase and l-lactate dehydrogenase in PMA Clostridium strains was significantly higher than that in NPMA, which is helpful for them to adapt to the ethanol- and lactic acid-rich environment. The analysis of carbohydrate-active enzymes demonstrated that glycoside hydrolases (GHs) was the most abundant family in all Clostridium strains, and genes encoding GH4 and GH13, involved in starch and sucrose metabolism, were enriched in PMA Clostridium. Horizontal gene transfer analysis revealed that multiple genes encoding the enzymes involved in carbohydrate and amino acid metabolism were transferred from Bacillus to Clostridium in pit mud. Most of the PMA Clostridium strains had good potential for butyric acid synthesis from ethanol, lactic acid, and starch. Collectively, this study furthers our understanding of the habitat adaptation and metabolic potential of PMA Clostridium strains. IMPORTANCE Pit mud is a typical artificial ecosystem for Chinese liquor production. Clostridium inhabiting pit mud plays essential roles in the flavor formation of strong-flavor baijiu. The relative abundance of Clostridium increased with pit mud quality, further influencing the quality of baijiu. So far, the ecological adaptation of Clostridium to a pit mud-associated lifestyle is largely unknown. Here, comparative genomic analysis of pit mud-associated (PMA) and non-pit mud-associated (NPMA) Clostridium strains was performed. We found genes related to the metabolism of starch, ethanol, and lactic acid were enriched in PMA Clostridium strains, which facilitated their adaptation to the unique brewing environment. In addition, horizontal gene transfer contributed to the adaptation of Clostridium to pit mud. Our findings provide genetic insights on PMA Clostridium strains' ecological adaptation and metabolic characteristics.

VarEPS: an evaluation and prewarning system of known and virtual variations of SARS-CoV-2 genomes.

The genomic variations of SARS-CoV-2 continue to emerge and spread worldwide. Some mutant strains show increased transmissibility and virulence, which may cause reduced protection provided by vaccines. Thus, it is necessary to continuously monitor and analyze the genomic variations of SARS-COV-2 genomes. We established an evaluation and prewarning system, SARS-CoV-2 variations evaluation and prewarning system (VarEPS), including known and virtual mutations of SARS-CoV-2 genomes to achieve rapid evaluation of the risks posed by mutant strains. From the perspective of genomics and structural biology, the database comprehensively analyzes the effects of known variations and virtual variations on physicochemical properties, translation efficiency, secondary structure, and binding capacity of ACE2 and neutralizing antibodies. An AI-based algorithm was used to verify the effectiveness of these genomics and structural biology characteristic quantities for risk prediction. This classifier could be further used to group viral strains by their transmissibility and affinity to neutralizing antibodies. This unique resource makes it possible to quickly evaluate the variation risks of key sites, and guide the research and development of vaccines and drugs. The database is freely accessible at www.nmdc.cn/ncovn.

gcCov: Linked open data for global coronavirus studies.

We present a method of mapping data from publicly available genomics and publication resources to the Resource Description Framework (RDF) and implement a server to publish linked open data (LOD). As one of the largest and most comprehensive semantic databases about coronaviruses, the resulted gcCov database demonstrates the capability of using data in the LOD framework to promote correlations between genotypes and phenotypes. These correlations will be helpful for future research on fundamental viral mechanisms and drug and vaccine designs. These LOD with 62,168,127 semantic triplets and their visualizations are freely accessible through gcCov at https://nmdc.cn/gccov/.

IPGA: A handy integrated prokaryotes genome and pan-genome analysis web service.

Pan-genomics is one of the most powerful means to study genomic variation and obtain a sketch of genes within a defined clade of species. Though there are a lot of computational tools to achieve this, an integrated framework to evaluate their performance and offer the best choice to users has never been achieved. To ease the process of large-scale prokaryotic genome analysis, we introduce Integrated Prokaryotes Genome and pan-genome Analysis (IPGA), a one-stop web service to analyze, compare, and visualize pan-genome as well as individual genomes, that rids users of installing any specific tools. IPGA features a scoring system that helps users to evaluate the reliability of pan-genome profiles generated by different packages. Thus, IPGA can help users ascertain the profiling method that is most suitable for their data set for the following analysis. In addition, IPGA integrates several downstream comparative analysis and genome analysis modules to make users achieve diverse targets.