Gut microbiota profiles in critically ill patients, potential biomarkers and risk variables for sepsis.

Critically ill patients are physiologically unstable and recent studies indicate that the intestinal microbiota could be involved in the health decline of such patients during ICU stays. This study aims to assess the intestinal microbiota in critically ill patients with and without sepsis and to determine its impact on outcome variables, such as medical complications, ICU stay time, and mortality. A multi-center study was conducted with a total of 250 peri-rectal swabs obtained from 155 patients upon admission and during ICU stays. Intestinal microbiota was assessed by sequencing the V3-V4 hypervariable regions of the 16S rRNA gene. Linear mixed models were used to integrate microbiota data with more than 40 clinical and demographic variables to detect covariates and minimize the effect of confounding factors. We found that the microbiota of ICU patients with sepsis has an increased abundance of microbes tightly associated with inflammation, such as Parabacteroides, Fusobacterium and Bilophila species. Female sex and aging would represent an increased risk for sepsis possibly because of some of their microbiota features. We also evidenced a remarkable loss of microbial diversity, during the ICU stay. Concomitantly, we detected that the abundance of pathogenic species, such as Enterococcus spp., was differentially increased in sepsis patients who died, indicating these species as potential biomarkers for monitoring during ICU stay. We concluded that particular intestinal microbiota signatures could predict sepsis development in ICU patients. We propose potential biomarkers for evaluation in the clinical management of ICU patients.

Lactobacillus fermentum CRL1446 Ameliorates Oxidative and Metabolic Parameters by Increasing Intestinal Feruloyl Esterase Activity and Modulating Microbiota in Caloric-Restricted Mice.

The purpose of this study was to determine whether the administration of the feruloyl esterase (FE)-producing strain Lactobacillus fermentum CRL1446 enhances metabolic and oxidative parameters in caloric-restricted (CR) mice. Balb/c male mice were divided into ad libitum fed Group (ALF Group), CR diet Group (CR Group) and CR diet plus L. fermentum Group (CR-Lf Group). CR diet was administered during 45 days and CRL1446 strain was given in the dose of 108 cells/mL/day/mouse. FE activity was determined in intestinal mucosa and content at Day 1, 20 and 45. Triglyceride, total cholesterol, glucose, thiobarbituric acid reactive substances (TBARS) levels and glutathione reductase activity were determined in plasma. Gut microbiota was evaluated by high-throughput sequencing of 16S rRNA gene amplicons. At Day 45, total intestinal FE activity in CR-Lf Group was higher (p = 0.020) than in CR and ALF groups and an improvement in both metabolic (reductions in triglyceride (p = 0.0025), total cholesterol (p = 0.005) and glucose (p < 0.0001) levels) and oxidative (decrease of TBARS levels and increase of plasmatic glutathione reductase activity (p = 0.006)) parameters was observed, compared to ALF Group. CR diet increased abundance of Bacteroidetes and CRL1446 administration increased abundance of Bifidobacterium and Lactobacillus genus. L. fermentun CRL1446 exerted a bifidogenic effect under CR conditions.

Pangenome-wide and molecular evolution analyses of the Pseudomonas aeruginosa species.

BACKGROUND: Drug treatments and vaccine designs against the opportunistic human pathogen Pseudomonas aeruginosa have multiple issues, all associated with the diverse genetic traits present in this pathogen, ranging from multi-drug resistant genes to the molecular machinery for the biosynthesis of biofilms. Several candidate vaccines against P. aeruginosa have been developed, which target the outer membrane proteins; however, major issues arise when attempting to establish complete protection against this pathogen due to its presumably genotypic variation at the strain level. To shed light on this concern, we proposed this study to assess the P. aeruginosa pangenome and its molecular evolution across multiple strains. RESULTS: The P. aeruginosa pangenome was estimated to contain more than 16,000 non-redundant genes, and approximately 15 % of these constituted the core genome. Functional analyses of the accessory genome indicated a wide presence of genetic elements directly associated with pathogenicity. An in-depth molecular evolution analysis revealed the full landscape of selection forces acting on the P. aeruginosa pangenome, in which purifying selection drives evolution in the genome of this human pathogen. We also detected distinctive positive selection in a wide variety of outer membrane proteins, with the data supporting the concept of substantial genetic variation in proteins probably recognized as antigens. Approaching the evolutionary information of genes under extremely positive selection, we designed a new Multi-Locus Sequencing Typing assay for an informative, rapid, and cost-effective genotyping of P. aeruginosa clinical isolates. CONCLUSIONS: We report the unprecedented pangenome characterization of P. aeruginosa on a large scale, which included almost 200 bacterial genomes from one single species and a molecular evolutionary analysis at the pangenome scale. Evolutionary information presented here provides a clear explanation of the issues associated with the use of protein conjugates from pili, flagella, or secretion systems as antigens for vaccine design, which exhibit high genetic variation in terms of non-synonymous substitutions in P. aeruginosa strains.

Impairing methylations at ribosome RNA, a point mutation-dependent strategy for aminoglycoside resistance: the rsmG case.

INTRODUCTION: Aminoglycosides like streptomycin are well-known for binding at specific regions of ribosome RNA and then acting as translation inhibitors. Nowadays, several pathogens have been detected to acquire an undefined strategy involving mutation at non structural ribosome genes like those acting as RNA methylases. rsmG is one of those genes which encodes an AdoMet-dependent methyltransferase responsible for the synthesis of m 7 G527 in the 530 loop of bacterial 16S rRNA. This loop is universally conserved, plays a key role in ribosomal accuracy, and is a target for streptomycin binding. Loss of the m 7 G527 modification confers low-level streptomycin resistance and may affect ribosomal functioning. OBJECTIVES: After taking into account genetic information indicating that some clinical isolates of human pathogens show streptomycin resistance associated with mutations at rsmG , we decided to explore new hot spots for mutation capable of impairing the RsmG in vivo function and of promoting low-level streptomycin resistance. MATERIALS AND METHODS: To gain insights into the molecular and genetic mechanism of acquiring this aminoglycoside resistance phenotype and the emergence of high-level streptomycin resistance in rsmG mutants, we mutated Escherichia coli rsmG and also performed a genotyping study on rpsL from several isolates showing the ability to grow at higher streptomycin concentrations than parental strains. RESULTS: We found that the mutations at rpsL were preferentially present in these mutants, and we observed a clear synergy between rsmG and rpsL genes to induce streptomycin resistance. CONCLUSION: We contribute to understand a common mechanism that is probably transferable to other ribosome RNA methylase genes responsible for modifications at central sites for ribosome function.

Impairing methylations at ribosome RNA, a point mutation-dependent strategy for aminoglycoside resistance: The rsmG case / Mutaciones en genes modificadores de ARN ribosómico y la resistencia a aminoglucósidos: el caso del gen rsmG

Introduction: Aminoglycosides like streptomycin are well-known for binding at specific regions of ribosome RNA and then acting as translation inhibitors. Nowadays, several pathogens have been detected to acquire an undefined strategy involving mutation at non structural ribosome genes like those acting as RNA methylases. rsmG is one of those genes which encodes an AdoMet-dependent methyltransferase responsible for the synthesis of m 7 G527 in the 530 loop of bacterial 16S rRNA. This loop is universally conserved, plays a key role in ribosomal accuracy, and is a target for streptomycin binding. Loss of the m 7 G527 modification confers low-level streptomycin resistance and may affect ribosomal functioning. Objectives: After taking into account genetic information indicating that some clinical isolates of human pathogens show streptomycin resistance associated with mutations at rsmG , we decided to explore new hot spots for mutation capable of impairing the RsmG in vivo function and of promoting low-level streptomycin resistance. Materials and methods: To gain insights into the molecular and genetic mechanism of acquiring this aminoglycoside resistance phenotype and the emergence of high-level streptomycin resistance in rsmG mutants, we mutated Escherichia coli rsmG and also performed a genotyping study on rpsL from several isolates showing the ability to grow at higher streptomycin concentrations than parental strains. Results: We found that the mutations at rpsL were preferentially present in these mutants, and we observed a clear synergy between rsmG and rpsL genes to induce streptomycin resistance. Conclusion: We contribute to understand a common mechanism that is probably transferable to other ribosome RNA methylase genes responsible for modifications at central sites for ribosome function.

Introducción. Los aminoglucósidos son moléculas antibióticas capaces de inhibir la síntesis de proteínas bacterianas tras su unión al ribosoma procariota. La resistencia a aminoglucósidos está clásicamente asociada a mutaciones en genes estructurales del ribosoma bacteriano; sin embargo, varios estudios recientes han demostrado, de forma recurrente, la presencia de un nuevo mecanismo dependiente de mutación que no involucra genes estructurales. El gen rsmG es uno de ellos y se caracteriza por codificar una metiltransferasa que sintetiza el nucleósido m 7 G527 localizado en el loop 530 del ribosoma bacteriano, este último caracterizado como sitio preferencial al cual se une la estreptomicina. Objetivo. Partiendo de las recientes asociaciones clínicas entre las mutaciones en el gen rsmG y la resistencia a estreptomicina, este estudio se propuso la caracterización de nuevos puntos calientes de mutación en este gen que puedan causar resistencia a estreptomicina usando Escherichia coli como modelo de estudio. Materiales y métodos. Se indagó sobre el mecanismo genético y molecular por el cual se adquiere la resistencia a estreptomicina y su transición a la resistencia a altas dosis mediante mutagénesis dirigida del gen rsmG y genotipificación del gen rpsL . Resultados. Se encontró que la mutación N39A en rsmG inactiva la proteína y se reportó un nuevo conjunto de mutaciones en rpsL que confieren resistencia a altas dosis de estreptomicina. Conclusiones. Aunque los mecanismos genéticos subyacentes permanecen sin esclarecer, se concluyó que dichos patrones secuenciales de mutación podrían tener lugar en otros genes modificadores del ARN bacteriano debido a la conservación evolutiva y al papel crítico que juegan tales modificaciones en la síntesis de proteínas.

A practical guide for the computational selection of residues to be experimentally characterized in protein families.

In recent years, numerous biocomputational tools have been designed to extract functional and evolutionary information from multiple sequence alignments (MSAs) of proteins and genes. Most biologists working actively on the characterization of proteins from a single or family perspective use the MSA analysis to retrieve valuable information about amino acid conservation and the functional role of residues in query protein(s). In MSAs, adjustment of alignment parameters is a key point to improve the quality of MSA output. However, this issue is frequently underestimated and/or misunderstood by scientists and there is no in-depth knowledge available in this field. This brief review focuses on biocomputational approaches complementary to MSA to help distinguish functional residues in protein families. These additional analyses involve issues ranging from phylogenetic to statistical, which address the detection of amino acids pivotal for protein function at any level. In recent years, a large number of tools has been designed for this very purpose. Using some of these relevant, useful tools, we have designed a practical pipeline to perform in silico studies with a view to improving the characterization of family proteins and their functional residues. This review-guide aims to present biologists a set of specially designed tools to study proteins. These tools are user-friendly as they use web servers or easy-to-handle applications. Such criteria are essential for this review as most of the biologists (experimentalists) working in this field are unfamiliar with these biocomputational analysis approaches.

[Bioinformatics in Colombia: state of the art and perspectives]. / Bioinformática en Colombia: presente y futuro de la investigación biocomputacional.

Bioinformatics emerged about 50 years ago, but it was developed greatly during the early 1980s by robust databases such as GenBank, EMBL, and DNA Database of Japan (DDBJ). Bioinformatic routines were rapidly adapted once the main algorithms for sequence analysis became available worldwide. As in other science fields, bioinformatics had minimal impact in low-income countries of Latin America until the last decade. We revised the bioinformatics state of art in Colombia and found a few bioinformatics groups carrying out basic computational biology research. Nowadays, bioinformatics in Colombia has a hopeful scenario thanks to recent science policies adopted by the Colombian Government. Such policies have been adopted in order to establish a new model of sustainable scientific research. In this brief report we revise the bioinformatics state of the art in Colombia. Finally, we conclude with some considerations for the proposed science model and we describe different perspectives of interest for the Colombian scientific community.

Bioinformática en Colombia: presente y futuro de la investigación biocomputacional / Bioinformatics in Colombia: state of the art and perspectives

La bioinformática, como la conocemos hoy en día, es una de las ciencias con mayor proyección en la adquisición de conocimiento científico. Contrario a lo que se piensa, esta ciencia tuvo sus inicios en los años 50, pero no fue sino hasta hace un par de décadas cuando tuvo su verdadero auge con la creación de las primeras bases de datos y el desarrollo de algoritmos computacionales diseñados para el análisis de secuencia. El desarrollo científico y tecnológico alcanzado a nivel mundial, constantemente nos lleva a evaluar las posibilidades de transferencia de esos logros a nuestra sociedad científica. En este punto, la bioinformática se ha sumado a la larga lista de retrasos científicos de los cuales padece constantemente nuestra sociedad. No obstante, las nuevas proyecciones y políticas de investigación y desarrollo logradas recientemente en nuestro país, han abierto definitivamente el camino para la aplicación y desarrollo de la bioinformática, la cual durante años ha sido mantenida tímidamente como objeto de estudio por pocos grupos de investigación de nuestro país. Una vez fueron propuestos los actuales modelos de sostenimiento y desarrollo con base biotecnológica, se ha dado un salto generacional en la investigación computacional en Colombia y nuestros objetivos científicos, aunque a largo plazo, están trazados al mismo nivel de países como Chile, Argentina, Brasil y México, que son los referentes inmediatos para la región. En este breve ensayo queremos resaltar la situación actual en la investigación bioinformática llevada a cabo en nuestro país, así como también, plantear las perspectivas que se esperan para esta ciencia de gran impacto a nivel mundial.

Bioinformatics emerged about 50 years ago, but it was developed greatly during the early 1980’s by robust databases such as GenBank, EMBL, and DNA Database of Japan (DDBJ). Bioinformatic routines were rapidly adapted once the main algorithms for sequence analysis became available worldwide. As in other science fields, bioinformatics had minimal impact in low-income countries of Latin America until the last decade.We revised the bioinformatics state of art in Colombia and found a few bioinformatics groups carrying out basic computational biology research. Nowadays, bioinformatics in Colombia has a hopeful scenario thanks to recent science policies adopted by the Colombian Government. Such policies have been adopted in order to establish a new model of sustainable scientific research. In this brief report we revise the bioinformatics state of the art in Colombia. Finally, we conclude with some considerations for the proposed science model and we describe different perspectives of interest for the Colombian scientific community.

Dissection of functional residues in receptor activity-modifying proteins through phylogenetic and statistical analyses.

Type I and type-II functional divergences have been stated to highlight specific residues carrying out differential functions in evolutionary-divergent protein clusters from a single common ancestor. Briefly, type I analysis is based on residue constraints reflecting a gain of function just in one cluster of an entire family of proteins; while the type-II approach is based on residue constraints showing a different chemical nature in every cluster of a protein family. This last evidence is understood as differential functionality among clusters. The Receptor Activity-Modifying Proteins constitute a family characterized by its paralogous distribution in vertebrates. They are known as G-Protein Coupled Receptor modulators. Although several studies have determined their involvement in ligand binding, specificity, and enhancement of signal transduction, the responsible residues supporting those functions are unclear. Using different bioinformatic approaches, we predicted residues involved in different RAMP functional tasks. Many residues localized in an extracellular coil of RAMP proteins were predicted to be under functional divergence suggesting a gain of function in their respective proteins. Interestingly, the transmembrane region also showed important results for residues playing relevant roles where most of them showed a biased distribution on the structure. A relevant role was conferred by the enrichment of type-II residues observed in their sequences. We show a collection of residues explaining possible gain of function and differential functionality in RAMP proteins. These residues are still experimentally unexplored with regards to functionality. Finally, an evolutionary history could be discerned. Mainly, the RAMP2 cluster has evolved in a higher manner than other RAMP clusters. However, a deacceleration in the aminoacid substitution rate of RAMP2 was observed in mammals. Such effect could be caused by the co-evolution of ligands and receptors interacting with RAMP2 through evolution and/or the specialization of this cluster in GPCR modulation.

Sequence analysis of the Receptor Activity-Modifying Proteins family, new putative peptides and structural conformation inference.

The Receptor Activity-Modifying Proteins (RAMP) is a family constituted by a single N-terminal extracellular domain and a transmembrane region ending in a short cytoplasmic region. Due to their specific role in modulating the specificity of ligand binding in many class II G-Protein Coupled Receptors, these proteins are awaiting further characterization and elucidation of their structure. This was the aim of this study. We were able to find 13 new RAMP sequences including new protein sequences and predicted peptides from Expressed Sequence Tags and genomic DNA, all of them annotated in databases such as GeneBank, EMBL, Swissprot and ENSEMBL. The predicted peptides came from an array of different organisms including Teleostei and Elasmobranchii species, of which the latter was the most ancient RAMP sequence found. It was also possible to efficiently predict the 1D structure of the extracellular RAMP domain and its 3D conformation was inferred through a combination of bioinformatic approaches such as threading. The 1D structure of the extracellular RAMP domain was predicted as three alpha-helix domain. The most highly conserved residues in the RAMP family were found to be involved in critical functions. Bioinformatic data mining and multiple sequence alignment analysis were crucial for improving the characterization of RAMP proteins and prediction of their 1D and 3D configurations.

Allelic frequencies at 12 STR loci in Colombian population.

Three hundred and twenty-six to four hundred and fifty-one individuals were typed for 12 STR markers and revealed by silver stain method and assisted by a computer analysis. Forensic and Hardy-Weinberg values were found. The Kodak ds 1D Image Analysis Software V 2.0.3 EDAS DC 120 System was a useful tool for determining the correct size of pattern bands that were out allelic ladders, alleles 18 and 17 from F13A01, 15 from TPOX and 4 from TH01 were determined by this method and some corroborated by automatic analysis.

Population data of new Y-chromosome STRs GATA C4, DYS438, DYS437, GATA A7.2, GATA H4, DYS439 and GATA A10 in males from Colombia.

Two hundred twenty-five unrelated males were typed for 7 over 8 loci Y-chromosome STRs proposed in a collaborative study by The Spanish and Portuguese ISFG Working Group. The markers amplification were in two multiplex reactions GEPY I with GATA C4, DYS438, DYS437, DYS461 (GATA A7.2) and GEPY II with GATA H4, DYS439, GATA A10 and DYS460 (GATA A7.1). All gene diversities were upper 0.5 with the highest value in DYS439 with 0.64. Furthermore, 152 haplotypes from 7 loci Y-chromosome STRs were found within studied population and a high haplotype diversity 0.9902 was found. The DYS460 (GATA A7.1) marker can not be studied because its diverse alleles were not able for interpret.