Impact of template denaturation prior to whole genome amplification on gene detection in high GC-content species, Burkholderia mallei and B. pseudomallei.

Objective: In this study, we sought to determine the types and prevalence of antimicrobial resistance determinants (ARDs) in Burkholderia spp. strains using the Antimicrobial Resistance Determinant Microarray (ARDM).

Results: Whole genome amplicons from 22 B.

Landscape-scale mapping of soil fungal distribution: proposing a new NGS-based approach.

Soil fungi play an indispensable role in the functioning of terrestrial habitats. Most landscape-scale studies of soil fungal diversity try to identify the fungal taxa present at a study site and define the relationships between their abundance and environmental factors. The specific spatial distribution of these fungi over the site, however, is not addressed.

Machine learning for design of degenerate Cas13a crRNAs using lassa virus as a model of highly variable RNA target.

The design of minimum CRISPR RNA (crRNA) sets for detection of diverse RNA targets using sequence degeneracy has not been systematically addressed. We tested candidate degenerate Cas13a crRNA sets designed for detection of diverse RNA targets (Lassa virus). A decision tree machine learning (ML) algorithm (RuleFit) was applied to define the top attributes that determine the specificity of degenerate crRNAs to elicit collateral nuclease activity.

Physiological response of adult Salix aurita in wetland vegetation affected by flooding with As-rich fine pyrite particles.

An uncontrolled, natural episode of flooding with waters contaminated with As-rich pyrite (FeAsS) particles caused serious ecological damage leading to necrosis of plants growing in a fresh wet meadow located in an area characterized by unique geological structures rich in arsenopyrites. One of the few plant species capable of surviving this event was Salix aurita L., which grew in numbers in the analyzed area, but individual plants were affected differently by toxic flooding.

Prevalence of malaria resistance-associated mutations in circulating in 2017-2018, Bo, Sierra Leone.

Introduction: In spite of promising medical, sociological, and engineering strategies and interventions to reduce the burden of disease, malaria remains a source of significant morbidity and mortality, especially among children in sub-Saharan Africa. In particular, progress in the development and administration of chemotherapeutic agents is threatened by evolved resistance to most of the antimalarials currently in use, including artemisinins.

Methods: This study analyzed the prevalence of mutations associated with antimalarial resistance in from 95 clinical samples collected from individuals with clinically confirmed malaria at a hospital in Bo, Sierra Leone between May 2017 and December 2018.