CODON-Software to manual curation of prokaryotic genomes.

Genome annotation conceptually consists of inferring and assigning biological information to gene products. Over the years, numerous pipelines and computational tools have been developed aiming to automate this task and assist researchers in gaining knowledge about target genes of study. However, even with these technological advances, manual annotation or manual curation is necessary, where the information attributed to the gene products is verified and enriched. Despite being called the gold standard process for depositing data in a biological database, the task of manual curation requires significant time and effort from researchers who sometimes have to parse through numerous products in various public databases. To assist with this problem, we present CODON, a tool for manual curation of genomic data, capable of performing the prediction and annotation process. This software makes use of a finite state machine in the prediction process and automatically annotates products based on information obtained from the Uniprot database. CODON is equipped with a simple and intuitive graphic interface that assists on manual curation, enabling the user to decide about the analysis based on information as to identity, length of the alignment, and name of the organism in which the product obtained a match. Further, visual analysis of all matches found in the database is possible, impacting significantly in the curation task considering that the user has at his disposal all the information available for a given product. An analysis performed on eleven organisms was used to test the efficiency of this tool by comparing the results of prediction and annotation through CODON to ones from the NCBI and RAST platforms.

Quadruplex PCR assay for identification of Corynebacterium pseudotuberculosis differentiating biovar Ovis and Equi.

BACKGROUND: Corynebacterium pseudotuberculosis is classified into two biovars, nitrate-negative biovar Ovis which is the etiologic agent of caseous lymphadenitis in small ruminants and nitrate-positive biovar Equi, which causes abscesses and ulcerative lymphangitis in equines. The aim of this study was to develop a quadruplex PCR assay that would allow simultaneous detection and biovar-typing of C. pseudotuberculosis. METHODS: In the present study, genomes of C. pseudotuberculosis strains were used to identify the genes involved in the nitrate reduction pathway to improve a species identification three-primer multiplex PCR assay. The nitrate reductase gene (narG) was included in the PCR assay along with the 16S, rpoB and pld genes to enhance the diagnosis of the multiplex PCR at biovar level. RESULTS: A novel quadruplex PCR assay for C. pseudotuberculosis species and biovar identification was developed. The results of the quadruplex PCR of 348 strains, 346 previously well-characterized clinical isolates of C. pseudotuberculosis from different hosts (goats, sheep, horse, cattle, buffalo, llamas and humans), the vaccine strain 1002 and the type strain ATCC 19410T, were compared to the results of nitrate reductase identification by biochemical test. The McNemar's Chi-squared test used to compare the two methods used for C. pseudotuberculosis biovar identification showed no significant difference (P = 0.75) [95% CI for odds ratio (0.16-6.14)] between the quadruplex PCR and the nitrate biochemical test. Concordant results were observed for 97.13% (338 / 348) of the tested strains and the kappa value was 0.94 [95% CI (0.90-0.98)]. CONCLUSIONS: The ability of the quadruplex assay to discriminate between C. pseudotuberculosis biovar Ovis and Equi strains enhances its usefulness in the clinical microbiology laboratory.

Protocol to analyze the bacterial pangenome using PAN2HGENE software.

The PAN2HGENE is a computational tool that enables two main analyses. First, the tool can identify gene products absent from the original prokaryotic genome sequence. Second, it enables automated comparative analysis for both complete and draft genomes. All analyses are performed through a simple and intuitive graphical user interface without the need for extensive and complex command lines. For complete details on the use and execution of this protocol, please refer to Silva de Oliveira (2021).

ReNoteWeb - Web platform for the improvement of assembly result and annotation of prokaryotic genomes.

The reduction in the cost of DNA sequencing and the total time to perform this process has resulted in a significant increase in the deposit of biological information in public databases such as the NCBI (National Center for Biotechnology Information). The production of large volumes of data per run has culminated in the need to develop algorithms capable of handling data with this new feature and assisting in analyses such as the assembly and annotation of prokaryotic genomes. Over the years, several pipelines and computational tools have been developed to automate this task and consequently reduce the total time to know the genetic content of a given organism, especially non-model organisms, collaborating with the identification of possible targets with biotechnological applicability. In the case of automatic annotation tools, the accuracy of the results is widely observed in the literature, however, this does not excludes the manual curation process, where the information inferred in the automatic process is verified and enriched by the curators. This task requires a time which is directly proportional to the number of gene products of the target organism under study. To assist in this process, we present the ReNoteWeb web tool, endowed with a simple and intuitive interface, to perform the assembly enhancement process, with the possibility of identifying the missing products in the original genomic sequence. In addition, ReNoteWeb is capable of performing the annotation process for all products, based on information obtained from highly accurate external databases. The engine responsible for performing the data processing was developed in JAVA and the web platform uses the resources of the Yii framework. The annotation produced by this platform aims to reduce the overall time in the manual curation process. Twenty-three organisms were used to validate the tool. The efficiency was verified by comparing the annotation of these same organisms available in the NCBI database and the annotation performed on the RAST platform. The tool is available at: http://biod.ufpa.br/renoteweb/.

PAN2HGENE-tool for comparative analysis and identifying new gene products.

Advances in next-generation sequencing (NGS) platforms have had a positive impact on biological research, leading to the development of numerous omics approaches, including genomics, transcriptomics, metagenomics, and pangenomics. These analyses provide insights into the gene contents of various organisms. However, to understand the evolutionary processes of these genes, comparative analysis, which is an important tool for annotation, is required. Using comparative analysis, it is possible to infer the functions of gene contents and identify orthologs and paralogous genes via their homology. Although several comparative analysis tools currently exist, most of them are limited to complete genomes. PAN2HGENE, a computational tool that allows identification of gene products missing from the original genome sequence, with automated comparative analysis for both complete and draft genomes, can be used to address this limitation. In this study, PAN2HGENE was used to identify new products, resulting in altering the alpha value behavior in the pangenome without altering the original genomic sequence. Our findings indicate that this tool represents an efficient alternative for comparative analysis, with a simple and intuitive graphical interface. The PAN2HGENE have been uploaded to SourceForge and are available via: https://sourceforge.net/projects/pan2hgene-software.

Resistome in Lake Bolonha, Brazilian Amazon: Identification of Genes Related to Resistance to Broad-Spectrum Antibiotics.

Resistance to antibiotics is one of the most relevant public health concerns in the world. Aquatic environments play an important role because they are reservoirs for antibiotic resistance genes and antibiotic-resistant strains, contributing to the spread of resistance. The present study investigated the resistome in Lake Bolonha (three sampling sites) in the Amazon region using a metagenomics approach and culture-dependent methods. Whole-metagenome-based results showed that the most abundant phyla were Protobacteria, Actinobacteria, Firmicutes, Bacteroidetes and Cyanobacteria. The composition of the resistome demonstrated that the genes that confer resistance to ß-lactams were prevalent at all sampling sites, followed by genes conferring resistance to aminoglycosides and tetracycline. Acquired genes encoding extended-spectrum ß-lactamases (e.g., bla CTX-M) and resistance to carbapenems (e.g., bla IMP and bla VIM) were detected through metagenome analysis. Bacteria were isolated from culture medium supplemented with cefotaxime or imipenem, and isolates were identified and analyzed for their antibiotic susceptibility profiles and resistance genes. In total, 98 bacterial isolates belonging to the genera Pseudomonas (37), Acinetobacter (32), Klebsiella (13), Enterobacter (9), Pantoe (3), Stenotrophomonas (3), and Methylobacterium (1) were obtained. Among isolates, the most abundant genes were bla CTX-M (28.3%), bla SHV (22.6%) and bla TEM (18.8%) in isolates from cefotaxime-supplemented medium and bla VIM (28.8%) and bla IMP (22.2%) in isolates recovered from imipenem-supplemented medium. The genes intl1 and intl2 were detected in 19.3% and 7.1% of isolates. Antibiograms showed that 94.9% (from cefotaxime-supplemented medium) and 85.7% (from imipenem-supplemented medium) of the isolates were multidrug resistant. Besides cefotaxime and imipenem, isolates were mostly resistant to aztreonam (91.8%), amoxicillin (98.8%), ampicillin (82.6%), and nalidixic acid (77.5%). Hence, the present study demonstrates that Lake Bolonha is a reservoir of bacteria resistant to antibiotics and resistance genes, some of which are of critical importance to human health.

Prediction of new vaccine targets in the core genome of Corynebacterium pseudotuberculosis through omics approaches and reverse vaccinology.

Corynebacterium pseudotuberculosis is the etiologic agent of veterinary relevance diseases, such as caseous lymphadenitis, affecting different animal species causing damage to the global agribusiness. So far, there are no completely effective treatment methods to overcome the impacts caused by this pathogen. Several genomes of the species are deposited on public databases, allowing the execution of studies related to the pan-genomic approach. In this study, we used an integrated in silico workflow to prospect novel putative targets using the core genome, a set of shared genes among 65 C. pseudotuberculosis strains. Subsequently, through RNA-Seq data of the same abiotic stresses in two strains, we selected only induced genes to compose the reverse vaccinology workflow based in two different strategies. Our results predicted six probable antigens in both analysis, which indicates that they have a strong potential to be used in further studies as vaccine targets against this bacterium.

Functional annotation of hypothetical proteins from the Exiguobacterium antarcticum strain B7 reveals proteins involved in adaptation to extreme environments, including high arsenic resistance.

Exiguobacterium antarcticum strain B7 is a psychrophilic Gram-positive bacterium that possesses enzymes that can be used for several biotechnological applications. However, many proteins from its genome are considered hypothetical proteins (HPs). These functionally unknown proteins may indicate important functions regarding the biological role of this bacterium, and the use of bioinformatics tools can assist in the biological understanding of this organism through functional annotation analysis. Thus, our study aimed to assign functions to proteins previously described as HPs, present in the genome of E. antarcticum B7. We used an extensive in silico workflow combining several bioinformatics tools for function annotation, sub-cellular localization and physicochemical characterization, three-dimensional structure determination, and protein-protein interactions. This genome contains 2772 genes, of which 765 CDS were annotated as HPs. The amino acid sequences of all HPs were submitted to our workflow and we successfully attributed function to 132 HPs. We identified 11 proteins that play important roles in the mechanisms of adaptation to adverse environments, such as flagellar biosynthesis, biofilm formation, carotenoids biosynthesis, and others. In addition, three predicted HPs are possibly related to arsenic tolerance. Through an in vitro assay, we verified that E. antarcticum B7 can grow at high concentrations of this metal. The approach used was important to precisely assign function to proteins from diverse classes and to infer relationships with proteins with functions already described in the literature. This approach aims to produce a better understanding of the mechanism by which this bacterium adapts to extreme environments and to the finding of targets with biotechnological interest.

Transcriptome analysis of Corynebacterium pseudotuberculosis biovar Equi in two conditions of the environmental stress.

Corynebacterium pseudotuberculosis has been widely studied in an effort to understand its biological evolution. Transcriptomics has revealed possible candidates for virulence and pathogenicity factors of strain 1002 (biovar Ovis). Because C. pseudotuberculosis is classified into two biovars, Ovis and Equi, it was interesting to assess the transcriptional profile of biovar Equi strain 258, the causative agent of ulcerative lymphangitis. The genome of this strain was re-sequenced; the reassembly was completed using optical mapping technology, and the sequence was subsequently re-annotated. Two growth conditions that occur during the host infection process were simulated for the transcriptome: the osmotic and acid medium. Genes that may be associated with the microorganism's resilience under unfavorable conditions were identified through RNAseq, including genes present in pathogenicity islands. The RT-qPCR was performed to confirm the results in biological triplicate for each condition for some genes. The results extend our knowledge of the factors associated with the spread and persistence of C. pseudotuberculosis during the infection process and suggest possible avenues for studies related to the development of vaccines, diagnosis, and therapies that might help minimize damage to agribusinesses.

Whole-Genome Sequence of Corynebacterium pseudotuberculosis PA04, Isolated from the Lymph Node of a Sheep in the Amazon, Brazil.

This study reports the complete genome sequence of Corynebacterium pseudotuberculosis strain PA04, isolated from a sheep in the Amazon, Brazil. This bacterium is the etiological agent of caseous lymphadenitis. This genome contains 2,338,093 bp, 52.2% G+C content, and a total of 2,104 coding sequences (CDSs), 41 pseudogenes, 12 rRNAs, and 49 tRNAs.

Draft Genome Sequence of Corynebacterium pseudotuberculosis Strain PA06 Isolated from a Subauricular Abscess in an Ovine Host.

We report here the draft genome sequence of Corynebacterium pseudotuberculosis PA06, isolated from a subauricular abscess in an ovine host. C. pseudotuberculosis is a worldwide pathogen of small and large ruminants. The genome comprises 2,320,074 bp, with a G+C content of 52.2%, 2,195 coding sequences, 48 tRNAs, and three rRNAs.

Whole-Genome Sequence of Corynebacterium pseudotuberculosis 262 Biovar equi Isolated from Cow Milk.

We report the complete genome sequence ofCorynebacterium pseudotuberculosis262, isolated from a bovine host.C. pseudotuberculosisis an etiological agent of diseases with medical and veterinary relevance. The genome contains 2,325,749 bp, 52.8% G+C content, 2,022 coding sequences (CDS), 50 pseudogenes, 48 tRNAs, and 12 rRNAs.

Draft genome sequence of Psychrobacter sp. ENNN9_III, a strain isolated from water in a polluted temperate estuarine system (Ria de Aveiro, Portugal).

The genus Psychrobacter includes Gram-negative coccobacilli that are non-pigmented, oxidase-positive, non-motile, psychrophilic or psychrotolerant, and halotolerant. Psychrobacter strain ENNN9_III was isolated from water in a polluted temperate estuarine system, contaminated with hydrocarbons and heavy metals. The genome has a G + C content of 42.7%, 2618 open reading frames (ORFs), three copies of the rRNAs operon, and 29 tRNA genes. Twenty-five sequences related to the degradation of aromatic compounds were predicted, as well as numerous genes related to resistance to metals or metal(loid)s. The genome sequence of Psychrobacter strain ENNN9_III provides the groundwork for further elucidation of the mechanisms of metal resistance and aromatic compounds degradation. Future studies are needed to confirm the usefulness of this strain for bioremediation proposes.

Whole-Genome Sequence of Corynebacterium pseudotuberculosis Strain 226, Isolated from the Abscess of a Goat in California.

Corynebacterium pseudotuberculosis is the etiological agent of a caseous lymphadenitis disease. Herein, we present the first complete genome sequencing of C. pseudotuberculosis strain 226, isolated from an abscess of the sub-iliac lymph node of a goat from California (USA). The genome contains 2,138 coding sequences (CDSs), 12 rRNAs, 49 tRNAs, and 72 pseudogenes.

Complete Genome Sequence of Corynebacterium pseudotuberculosis Strain PA01, Isolated from Sheep in Pará, Brazil.

Corynebacterium pseudotuberculosis is the etiological agent of caseous lymphadenitis disease. In this work, we present the first complete genome sequence of Corynebacterium pseudotuberculosis strain PA01, isolated in northern Brazil from an infected sheep. The genome length is 2,337,920 bp, and 2,003 coding sequences (CDS), 12 rRNAs, and 49 tRNAs were predicted.

Genome Sequence of Corynebacterium pseudotuberculosis Strain PA02 Isolated from an Ovine Host in the Amazon.

In this work, we report the complete genome sequence of Corynebacterium pseudotuberculosis strain PA02 isolated from an ovine host. The genome contains 2,328,435 bp, a 52.2% G+C content, 2,035 coding sequences, 12 rRNA operons, 45 tRNAs, and 14 predicted pseudogenes.

Complete Genome Sequence of Corynebacterium pseudotuberculosis Strain E19, Isolated from a Horse in Chile.

Corynebacterium pseudotuberculosis is related to several diseases infecting horses and small ruminants, causing economic losses to agribusiness. Here, we present the genome sequence of C. pseudotuberculosis strain E19. The genome includes one circular chromosome 2,367,956 bp (52.1% G+C content), with 2,112 genes predicted, 12 rRNAs, and 48 tRNAs.

Draft Genome Sequences of Vibrio fluvialis Strains 560 and 539, Isolated from Environmental Samples.

Vibrio fluvialis is a halophilic bacterium found in many environments and is mainly associated with sporadic cases and outbreaks of gastroenteritis in humans. Here, we describe the genome sequences of environmental strains of V. fluvialis 560 (Vf560) and V. fluvialis 539 (Vf539) possessing a variant of the integrative and conjugative element (ICE) SXT for the first time in Brazil and South America.

Draft Genome Sequence of Non-O1 and Non-O139 Vibrio cholerae Strain VCC19.

Vibrio cholerae O1 is the causative agent of cholera and is ubiquitous in the aquatic environment, while V. cholerae strains non-O1 and non-O139 are recognized as causative agents of sporadic and localized outbreaks of diarrhea. Here, we report the complete sequence of a non-O1 and non-O139 V. cholerae strain (VCC19), which was isolated from the environment in Brazil. The sequence includes the integrative conjugative element (ICE). This paper is the first report of the presence of such an element in a V. cholerae strain isolated in Brazil.