Biology subjects

Jimenez, L.

Publications and source records attributed to Jimenez, L..

3 recordsLinked to original sources

bioRxiv2018

Host sexual dimorphism affects the outcome of within-host pathogen competition

Natural infections often consist multiple pathogens of the same or different species. In multiple infections, pathogens compete for access to host resources and fitness is determined by how well a pathogen can reproduce compared to its competitors. Given the propensity for males and females to exhibit variation in pathogen-induced reduction in lifespan or fecundity, we explore how host sex may modulate the competitive ability of pathogens, potentially favouring the transmission of different pathogen genotypes. Using the Daphnia magna - Pasteuria ramosa model system, we exposed male and female hosts to either a single genotype infection or coinfections consisting of two pathogen genotypes of varying levels of virulence, measured as pathogen-induced reduction in host lifespan. We found that co-infections within females generally favoured the transmission of the more virulent pathogen genotype. Conversely, co-infections within male hosts resulted in equal transmission of competing genotypes, or favoured the transmission of the less virulent pathogen genotype in treatments where it established prior to the more virulent competitor. These results suggest that sex is a form of host heterogeneity which may influence the evolution of virulence within co-infection contexts and that one sex may be a reservoir for pathogen genetic diversity in nature.

evolutionary biology↗

bioRxiv2017

HadoopCNV: A Dynamic Programming Imputation Algorithm To Detect Copy Number Variants From Sequencing Data

BACKGROUNDWhole-genome sequencing (WGS) data may be used to identify copy number variations (CNVs). Existing CNV detection methods mostly rely on read depth or alignment characteristics (paired-end distance and split reads) to infer gains/losses, while neglecting allelic intensity ratios and cannot quantify copy numbers. Additionally, most CNV callers are not scalable to handle a large number of WGS samples.\n\nMETHODSTo facilitate large-scale and rapid CNV detection from WGS data, we developed a Dynamic Programming Imputation (DPI) based algorithm called HadoopCNV, which infers copy number changes through both allelic frequency and read depth information. Our implementation is built on the Hadoop framework, enabling multiple compute nodes to work in parallel.\n\nRESULTSCompared to two widely used tools - CNVnator and LUMPY, HadoopCNV has similar or better performance on both simulated data sets and real data on the NA12878 individual. Additionally, analysis on a 10-member pedigree showed that HadoopCNV has a Mendelian precision that is similar or better than other tools. Furthermore, HadoopCNV can accurately infer loss of heterozygosity (LOH), while other tools cannot. HadoopCNV requires only 1.6 hours for a human genome with 30X coverage, on a 32-node cluster, with a linear relationship between speed improvement and the number of nodes. We further developed a method to combine HadoopCNV and LUMPY result, and demonstrated that the combination resulted in better performance than any individual tools.\n\nCONCLUSIONSThe combination of high-resolution, allele-specific read depth from WGS data and Hadoop framework can result in efficient and accurate detection of CNVs.

bioinformatics↗

bioRxiv2017

Taenia solium TAF6 and TAF9 binds to a putative Downstream Promoter Element present in TsTBP1 gene core promoter

We have cloned and characterized the gene encoding to Taenia solium TATA binding protein 1 (TsTBP1). It spans 1481 bp and its coding region is interrupted by four introns that possess the consensus donor/acceptor sequences. It produces a protein of 238 amino acids residues, which presented all the classical motives of the TBP1. On the core promoter region we identified putative binding sites for NF1, AP-1, YY1, TAF1/TAF2 and TAF6/TAF9, and the TSS that corresponds to an A+1. Southern and Northern blot analysis showed that TsTBP1 is encoded by a single gene, which produce a messenger of about 1.1 kbp with a higher differential expression in adult than the larval stage. Moreover, two putative TATA boxes were identified at -97 and -69 bp (relative to the TSS), likewise a Downstream Promoter Element (DPE) was located at +27 to +31 bp. EMSA experiments did not show any component of cysticerci nuclear extracts bound to the putative TATA-box elements; in contrast TAF6 and TAF9 bind to the DPE, showing that TsTBP1 is a TATA-less gen. On the other hand, TAF6 and TAF9 were localized on the nucleus from cells of T. crassiceps cysticerci bladder walls. By using the amino acid sequences of T. solium TAF6 (TsTAF6) and TAF9 (TsTAF9), we constructed a molecular model showing interaction between DPE-TsTAF6 and TsTAF6-TsTAF9. Finally, an in silico analysis of the core promoters of Taeniidae family genes showed that TATA-box and DPE are homologous to the mammalian elements, but not so the Inr. The low identity between TAF9 from cestodes and mammals open the possibility to use it as target to interrupt or modulate the transcription of TATA-box less genes in cestodes as a novel therapeutic strategy.\n\nAuthor summaryNeurocysticercosis still being a health problem in developing countries. Mexico reports a prevalence of 2.5% in the total patients from National Institute of Neurology and Neurosurgery. Several efforts have been made in different fields to study Taenia solium, and although the Genome Project has been published and released the genomic sequence of this parasite; the transcriptional mechanisms this organism remains unexplored. We isolated and characterized Taenia solium TATA-Binding Protein 1 (TsTBP1) gene and TBP-associated factor 6 and 9 cDNAs (TsTAF6 and TsTAF9, respectively). Our principal findings are: 1.- Identification of cis and trans elements in the core promoter of TsTBP1 gene. 2.- The TsTBP1 gene is a TATA-less promoter. 3.- Cloning of cDNAs to TsTAF6 and TsTAF9, 4.- Identification of a DPE in the core promoter of TsTBP1 gene, which interacts with TAF6 and TAF9, 5.- Construction of a molecular model that shows the interaction between DPE, TAF6, and TAF9; and 6.- A proposal of consensus sequences for TATA-box, Inr and DPE presented on Taeniidae family core promoters.

molecular biology↗