Resolving human DNA mixtures with F-108 polymer and capillary electrophoresis single-strand conformational polymorphism analysis.

Current technologies have increased the sensitivity for analyzing forensic DNA samples, especially those considered "touch samples." Because of this, there has been an increase in the number of forensic mixtures-two or more contributors within a single sample-submitted to the crime laboratories. Therefore, the need to resolve these mixtures has increased as well. Several technologies are currently utilized, but many of them are time consuming and do not resolve the entire profile. Therefore, CE-Single-Strand Conformational Polymorphisms coupled with the Pluronic F-108 polymer was assessed for its ability to resolve human forensic mixtures. This technique has been able to detect sequence variation, such as single nucleotide polymorphism in short tandem repeat loci, such as D7S820 and vWA. Samples were first analyzed with the Performance Optimized Polymer-7, and mixtures created from samples that shared alleles. These samples were sequenced to detect single base-pair mutations and evaluated with the F-108 and CE-Single Strand Conformational Polymorphism analysis. Results from this study indicated the method would serve as a valuable screening tool to detect base sequence variation between individuals when they share alleles in a mixture and before using Massive Parallel Sequencing technology to distinguish which bases differ.

Salinity Impacts the Functional mcrA and dsrA Gene Abundances in Everglades Marshes.

Coastal wetlands, such as the Everglades, are increasingly being exposed to stressors that have the potential to modify their existing ecological processes because of global climate change. Their soil microbiomes include a population of organisms important for biogeochemical cycling, but continual stresses can disturb the community's composition, causing functional changes. The Everglades feature wetlands with varied salinity levels, implying that they contain microbial communities with a variety of salt tolerances and microbial functions. Therefore, tracking the effects of stresses on these populations in freshwater and brackish marshes is critical. The study addressed this by utilizing next generation sequencing (NGS) to construct a baseline soil microbial community. The carbon and sulfur cycles were studied by sequencing a microbial functional gene involved in each process, the mcrA and dsrA functional genes, respectively. Saline was introduced over two years to observe the taxonomic alterations that occurred after a long-term disturbance such as seawater intrusion. It was observed that saltwater dosing increased sulfite reduction in freshwater peat soils and decreased methylotrophy in brackish peat soils. These findings add to the understanding of microbiomes by demonstrating how changes in soil qualities impact communities both before and after a disturbance such as saltwater intrusion.

Genomic and phenotypic signatures of climate adaptation in an Anolis lizard.

Integrated knowledge on phenotype, physiology, and genomic adaptations is required to understand the effects of climate on evolution. The functional genomic basis of organismal adaptation to changes in the abiotic environment, its phenotypic consequences, and its possible convergence across vertebrates are still understudied. In this study, we use a comparative approach to verify predicted gene functions for vertebrate thermal adaptation with observed functions underlying repeated genomic adaptations in response to elevation in the lizard Anolis cybotes. We establish a direct link between recurrently evolved phenotypes and functional genomics of altitude-related climate adaptation in three highland and lowland populations in the Dominican Republic. We show that across vertebrates, genes contained in this interactome are expressed within the brain, the endocrine system, and during development. These results are relevant to elucidate the effect of global climate change across vertebrates and might aid in furthering insight into gene-environment relationships under disturbances to homeostasis.