Enfrentando los riesgos socionaturales

El objetivo del libro es comprender la magnitud de los Riesgos Socionaturales en México y Latinoamérica, para comprender el peligro que existe por algún tipo de desastre, ya sea inundaciones, sismos, remoción en masa, entre otros, además conocer qué medidas preventivas, correctivas y de contingencias existen para estar atentos ante alguna señal que la naturaleza esté enviando y así evitar alguna catástrofe. El libro se enfoca en los aspectos básicos de análisis de los peligros, escenarios de riesgo, vulnerabilidad y resiliencia, importantes para la gestión prospectiva o preventiva

Métodos y técnicas de monitoreo y predicción temprana en los escenarios de riesgos socionaturales

Esta obra concentra los métodos y las técnicas fundamentales para el seguimiento y monitoreo de las dinámicas de los escenarios de riesgos socionaturales (geológicos e hidrometeorológicos) y tiene como objetivo general orientar, apoyar y acompañar a los directivos y operativos de protección civil en aterrizar las acciones y políticas públicas enfocadas a la gestión del riesgo local de desastre

An efficient strategy using k-mers to analyse 16S rRNA sequences

The use of k-mers has been a successful strategy for improving metagenomics studies, including taxonomic classifications, or de novo assemblies, and can be used to obtain sequences of interest from the available databases. The aim of this manuscript was to propose a simple but efficient strategy to generate k-mers and to use them to obtain and analyse in silico 16S rRNA sequence fragments. A total of 513,309 bacterial sequences contained in the SILVA database were considered for the study, and homemade PHP scripts were used to search for specific nucleotide chains, recover fragments of bacterial sequences, make calculations and organize information. Consensus sequences matching conserved regions were constructed by aligning most of the primers used in the literature. Sequences of k nucleotides (9- to 15-mers) were extracted from the generated primer contigs. Frequency analysis revealed that k-mer size was inversely proportional to the occurrence of k-mers in the different conserved regions, suggesting a stringency relationship; high numbers of duplicate reactions were observed with short k-mers, and a lower proportion of sequences were obtained with large ones, with the best results obtained using 12-mers. Using 12-mers with the proposed method to obtain and study sequences was found to be a reliable approach for the analysis of 16S rRNA sequences and this strategy may probably be extended to other biomarkers. Furthermore, additional applications such as evaluating the degree of conservation and designing primers and other calculations are proposed as examples

Significant loss of sensitivity and specificity in the taxonomic classification occurs when short 16S rRNA gene sequences are used

The classification performance of Kraken was evaluated in terms of sensitivity and specificity when using short and long 16S rRNA sequences. A total of 440,738 sequences from bacteria with complete taxonomic classifications were downloaded from the high quality ribosomal RNA database SILVA. Amplicons produced (86,371 sequences; 1450 bp) by virtual PCR with primers covering the V1–V9 region of the 16S-rRNA gene were used as reference. Virtual PCŔs of internal fragments V3–V4, V4–V5 and V3–V5 were performed. A total of 81,523, 82,334 and 82,998 amplicons were obtained for regions V3–V4, V4–V5 and V3–V5 respectively. Differences in depth of taxonomic classification were detected among the internal fragments. For instance, sensitivity and specificity of sequences classified up to subspecies level were higher when the largest internal fraction (V3–V5) was used (54.0 and 74.6% respectively), compared to V3–V4 (45.1 and 66.7%) and V4–V5 (41.8 and 64.6%) fragments. Similar pattern was detected for sequences classified up to more superficial taxonomic categories (i.e. family, order, class…). Results also demonstrate that internal fragments lost specificity and some could be misclassified at the deepest taxonomic levels (i.e. species or subspecies). It is concluded that the larger V3–V5 fragment could be considered for massive high throughput sequencing reducing the loss of sensitivity and sensibility

Where are the Penaeids crustins?

Crustins are antimicrobial peptides and members of the four-disulfide core (4-DSC) domain-containing proteins superfamily. To date, crustins have only been reported in crustaceans and possess a structural signature characterized by a single 4-DSC domain and one cysteine-rich region. The high-throughput sequencing technologies have produced vastly valuable genomic information that sometimes dilutes information about previously sequenced molecules. This study aimed (1) to corroborate the loss of valuable descriptive information regarding crustin identification when high throughput sequencing carries out automatic annotation processes and (2) to detect possible crustin sequences reported in Penaeids to attempt a list considering structural similarities, which allows the establishment of phylogenetic relationships based on molecular characteristics. All crustins sequences reported in Penaeids and registered in the databases were obtained. The first list was made with the proteins reported as crustin or carcinin, excluding those that did not meet the structural characteristics. Subsequently, using local alignments, sequences were sought with high similarity even if they had been reported with a different name of crustin but with a probability of being crustin. This broader list, including proteins with high structural similarity, can help establish phylogenetic relationships of shrimp genes and the evolutionary trajectory of this antimicrobial distributed exclusively among crustaceans. Results revealed that in most sequences obtained by Sanger or transcriptomics, which met the structural criteria, the identification was correctly established as crustin. Contrarily, the sequences corresponding to crustins obtained by whole genome sequencing projects were incorrectly classified or not characterized, being momentarily “buried” in the information generated. In addition, the sequences that complied with the criteria of crustin tended to be grouped into species separated by geographical regions; for example, the crustins of the inhabitant shrimp of the American coasts differ from those corresponding to the natives of the Asian coasts. Finally, the results suggest the convenience of annotations considering the previous but correct information, even if such information was generated with previous technologies

The 16S rRNA gene in the study of marine microbial communities

New sequencing technologies and analytical capabilities have stimulated the study of microbial communities from specific environments, enabling researchers to understand the complexity of those systems. The 16S rRNA gene has proved very useful in describing the diversity and characterization of marine microbial communities, particularly of uncultivated organisms. The development of new sequencing techniques has contributed to the exponential increase in the number of reported 16S rRNA sequences as barcodes for microorganisms, forcing a review of concepts and methods for the taxonomic classification of these organisms. Manipulation and analysis of large amounts of genetic information have prompted the development of specific databases, specialized algorithms, and computational tools to compare thousands of such sequences and make a taxonomic assignment. Complete 16S rRNA sequences are thus needed for accurate and reproducible taxonomy assignment in the study of marine bacterial communities.