Biology subjects

Torres, R.

Publications and source records attributed to Torres, R..

4 recordsLinked to original sources

bioRxiv2018

Environmental and Socioeconomic Factors Associated with West Nile Virus

Environmental and socioeconomic risk factors associated with West Nile Virus cases were investigated in the Northern San Joaquin Valley region of California, a largely rural area. The study included human West Nile Virus (WNV) cases from the years 2011-2015 in the three county area of San Joaquin, Stanislaus and Merced Counties, and examined whether factors were associated with WNV using census tracts as the unit of analysis. Environmental factors included temperature, precipitation, mosquitoes positive for WNV, and habitat. Socioeconomic variables included age, education, housing age, home vacancies, median income, population density, ethnicity, and language spoken. Chi-squared independence tests were used to examine whether each variable was associated with WNV in each county, and then also used for the three counties combined. Logistic regression was used for a three-county combined analysis, to examine which environmental and socioeconomic variables were most likely associated with WNV cases. The chi-squared tests found that the variables associated with WNV varied in each of the three counties. The chi-squared tests for data combined from the three counties found that WNV cases were significantly associated with mosquitoes positive for WNV, urban habitat, higher home vacancies, higher population density, higher education, and ethnicity. Logistic regression analysis revealed that overall, the environmental factors precipitation, mean temperature, and WNV positive mosquitoes were the strongest predictors of WNV cases. Results support efforts of mosquito control districts, which aim for source reduction of mosquito breeding sites. In addition, findings suggest that residents with higher income and education may be more aware of WNV and its symptoms, and more likely to request testing from physicians. Lower income and education residents may not be aware of WNV. Public health education might increase its prevention messages about vector-borne disease in the various languages of the region, which would contribute overall to public health in the region.

epidemiology↗

bioRxiv2018

Measures of reproducibility in sampling and laboratory processing methods in high-throughput microbiome analysis

Microbial community analysis can be biased by multiple technical factors, such as storage conditions, DNA extraction, or amplification conditions. In a high-throughput laboratory that relies on samples obtained from thousands of different subjects, knowledge of the extent of subject-introduced sampling and storage variation on the outcome of the inferred microbiome, as well as the effect of laboratory-introduced variation caused by reagent batches, equipment, or operator on the consistency of these processes within the laboratory is paramount. Here, we analyzed the effect of sampling from different parts of the same stool specimen or on different consecutive days, as well as short-term storage of samples at different temperatures on microbiome profiles obtained by 16S rRNA gene amplification. Each of these factors had relatively little effect on the microbial composition. In addition, replicate amplification of 44 stool samples showed reproducible results. Finally, 363 independent replicate extractions and amplifications of a single human homogenized stool (HS) specimen showed reproducible results (average Lins correlation = 0.95), with little variation introduced by HS batch, operator, extraction equipment, or DNA sequencer. In all cases, variations between replicates were significantly smaller than those between individual samples; subject identity always was the largest determinant. We propose that homogenized stool specimens could be used as quality control to routinely monitor the laboratory process and to validate new methods.

microbiology↗

bioRxiv2018

A Highly Efficient and Faithful MDS Patient-Derived Xenotransplantation Model for Pre-Clinical Studies

Comprehensive preclinical studies of Myelodysplastic Syndromes (MDS) have been elusive due to limited ability of MDS stem cells to engraft current immunodeficient murine hosts. We developed a novel MDS patient-derived xenotransplantation model in cytokine-humanized immunodeficient \"MISTRG\" mice that for the first time provides efficient and faithful disease representation across all MDS subtypes. MISTRG MDS patient-derived xenografts (PDX) reproduce patients' dysplastic morphology with multi-lineage representation, including erythro- and megakaryopoiesis. MISTRG MDS-PDX replicate the original sample's genetic complexity and can be propagated via serial transplantation. MISTRG MDS-PDX demonstrate the cytotoxic and differentiation potential of targeted therapeutics providing superior readouts of drug mechanism of action and therapeutic efficacy. Physiologic humanization of the hematopoietic stem cell niche proves critical to MDS stem cell propagation and function in vivo. The MISTRG MDS-PDX model opens novel avenues of research and long-awaited opportunities in MDS research.

cancer biology↗

bioRxiv2017

Human demographic history has amplified the effects background selection across the genome

Natural populations often grow, shrink, and migrate over time. Demographic processes such as these can impact genome-wide levels of genetic diversity. In addition, genetic variation in functional regions of the genome can be altered by natural selection, which drives adaptive mutations to higher frequencies or purges deleterious ones. Such selective processes impact not only the sites directly under selection but also nearby neutral variation through genetic linkage through processes referred to as genetic hitch-hiking in the context of positive selection and background selection (BGS) in the context of purifying selection. While there is extensive literature examining the impact of selection at linked sites at demographic equilibrium, less is known about how non-equilibrium demographic processes impact the effects of hitchhiking and BGS. Utilizing a global sample of human whole-genome sequences from the Thousand Genomes Project and extensive simulations, we investigate how non-equilibrium demographic processes magnify and dampen the consequences of selection at linked sites across the human genome. When binning the genome by inferred strength of BGS, we observe that, compared to Africans, non-African populations have experienced larger proportional decreases in neutral genetic diversity in such regions. We replicate these findings in admixed populations by showing that non-African ancestral components of the genome have also been impacted more severely in these regions. We attribute these differences to the strong, sustained/recurrent population bottlenecks that non-Africans experienced as they migrated out of Africa and throughout the globe. Furthermore, we observe a strong correlation between FST and inferred strength of BGS, suggesting a stronger rate of genetic drift. Forward simulations of human demographic history with a model of BGS support these observations. Our results show that non-equilibrium demography significantly alters the consequences selection at linked sites and support the need for more work investigating the dynamic process of multiple evolutionary forces operating in concert.\n\nAuthor summaryPatterns of genetic diversity within a species are affected at broad and fine scales by population size changes (\"demography\") and natural selection. From both population genetics theory and observation of genomic sequence data, it is known that demography can alter genome-wide average neutral genetic diversity. Additionally, natural selection can affect neutral genetic diversity regionally across the genome via selection at linked sites. During this process, natural selection acting on adaptive or deleterious variants in the genome will also impact diversity at nearby neutral sites due to genetic linkage. However, less is well known about the dynamic changes to diversity that occur in regions impacted by selection at linked sites when a population undergoes a size change. We characterize these dynamic changes using thousands of human genomes and find that the population size changes experienced by humans have shaped the consequences of linked selection across the genome. In particular, population contractions, such as those experienced by non-Africans, have disproportionately decreased neutral diversity in regions of the genome inferred to be under strong background selection (i.e., selection at linked sites that is caused by natural selection acting on deleterious variants), resulting in large differences between African and non-African populations.

evolutionary biology↗