Sulfidic, anoxic sediments of the moderately hypersaline Salton Sea contain gradients in salinity and carbon that potentially structure the sedimentary microbial community. We investigated the abundance, community structure, and diversity of Bacteria and Archaea along these gradients to further distinguish the ecologies of these domains outside their established physiological range. Quantitative PCR was used to enumerate 16S rRNA gene abundances of Bacteria, Archaea, and Crenarchaeota. Community structure and diversity were evaluated by terminal restriction fragment length polymorphism (T-RFLP), quantitative analysis of gene (16S rRNA) frequencies of dominant microorganisms, and cloning and sequencing of 16S rRNA. Archaea were numerically dominant at all depths and exhibited a lesser response to environmental gradients than that of Bacteria. The relative abundance of Crenarchaeota was low (0.4 to 22%) at all depths but increased with decreased carbon content and increased salinity. Salinity structured the bacterial community but exerted no significant control on archaeal community structure, which was weakly correlated with total carbon. Partial sequencing of archaeal 16S rRNA genes retrieved from three sediment depths revealed diverse communities of Euryarchaeota and Crenarchaeota, many of which were affiliated with groups previously described from marine sediments. The abundance of these groups across all depths suggests that many putative marine archaeal groups can tolerate elevated salinity (5.0 to 11.8% [wt/vol]) and persist under the anaerobic conditions present in Salton Sea sediments. The differential response of archaeal and bacterial communities to salinity and carbon patterns is consistent with the hypothesis that adaptations to energy stress and availability distinguish the ecologies of these domains.The vast majority of cultured Archaea isolates are characterized as extremophiles, which thrive under environmental extremes of temperature, pH, salinity, and oxygen availability. Unlike Bacteria, these organisms are well defined by select physiologies or catabolic activities. Cultivated halophilic archaea are obligate aerobes, and with a few exceptions (58), most 16S rRNA gene sequences affiliated with this physiological group have been recovered primarily from environments with oxygen present. Thermophilic archaea, many of which utilize hydrogen-based metabolisms, have temperature requirements that preclude their survival and growth in more moderate environments. Other archaeal physiological groups include acidophiles, which thrive in acidic and mostly hightemperature environments, the obligate anaerobic methanogens, which are capable of competing with Bacteria when more energetically favorable electron acceptors are not available (i.e., sulfate), and methane-oxidizing archaea, which require methane for energy production. Recent work on several Crenarchaeota isolates points to nitrification as their primary energy metabolism, but these organisms have been detected in cold, predominantly aerobic environ...

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Though the utility of next-generation sequencing (NGS) technologies for forensic short tandem repeat (STR) typing has been evident for several years, commercially available assays and software solutions developed specifically to meet forensic needs have only recently become available. One of these, the ForenSeq™ DNA Signature Prep Kit (Illumina, Inc.) sequences 27 autosomal STR (aSTR) and 24 Y chromosome STR (Y-STR) loci (concurrent with additional nuclear markers) per multiplexed sample, with automated secondary and tertiary analyses of the data accomplished via the associated ForenSeq™ Universal Analysis Software (UAS). In this study we investigated the performance of the ForenSeq system for aSTR and Y-STR typing by examination of 151 sample libraries developed from high quality DNAs amplified at the target 1ng template. Utilizing PCR Primer Mix B, greater than 99.5% of aSTR loci and 97.0% of Y-STR loci were recovered when 42 or fewer sample libraries were pooled for sequencing. A direct comparison of UAS developed fragment length results to capillary electrophoresis (CE) based data identified only two allele call discrepancies when no UAS quality flag was triggered. Review of the ForenSeq data indicated that most samples with total sequence read counts exceeding 40,000 could be interpreted to develop nearly complete aSTR genotypes or Y-STR haplotypes. However, markers D22S1045 and DYS392 produced poor or inconsistent results even when sample read counts were greater than 85,000. Excluding these two loci, analyst-interpreted aSTR and Y-STR ForenSeq profiles were 99.96% and 100% concordant, respectively, with CE data. In addition to demonstrating concordance on par with other CE kit to kit comparisons, the results from this study will assist laboratories seeking to develop workflows for high volume processing and analysis of aSTRs and Y-STRs from reference-type specimens using the ForenSeq system.

Allele distributions for twenty-three autosomal short tandem repeat (STR) loci - D1S1656, D2S441, D2S1338, D3S1358, D5S818, D7S820, D8S1179, D10S1248, D12S391, D13S317, D16S539, D18S51, D19S433, D21S11, D22S1045, CSF1PO, FGA, Penta D, Penta E, SE33, TH01, TPOX and vWA - were determined in Caucasians, Southwestern Hispanics, Southeastern Hispanics, African Americans, Bahamians, Jamaicans, Trinidadians, Chamorros, Filipinos, Apaches, and Navajos. The data are included in the FBI PopStats software for calculating statistical estimates of DNA typing results and cover the expanded CODIS Core STR Loci required of U.S. laboratories that participate in the National DNA Index System (NDIS).

The combination of soil's ubiquity and its intrinsic abiotic and biotic information can contribute greatly to the forensic field. Although there are physical and chemical characterization methods of soil comparison for forensic purposes, these require a level of expertise not always encountered in crime laboratories. We hypothesized that soil microbial community profiling could be used to discriminate between soil types by providing biological fingerprints that confer uniqueness. Three of the six Miami-Dade soil types were randomly selected and sampled. We compared the microbial metagenome profiles generated using amplicon length heterogeneity-polymerase chain reaction analysis of the 16S rRNA genes with inductively coupled plasma optical emission spectroscopy analysis of 13 elements (Al, B, Ca, Cu, Fe, K, Mg, Mn, Na, P, S, Si, and Zn) that are commonly encountered in soils. Bray-Curtis similarity index and analysis of similarity were performed on all data to establish differences within sites, among sites, and across two seasons. These data matrices were used to group samples that shared similar community patterns using nonmetric multidimensional scaling analysis. We concluded that while chemical characterization could provide some differentiation between soils, microbial metagenome profiling was better able to discriminate between the soil types and had a high degree of reproducibility, therefore proving to be a potential tool for forensic soil comparisons.

Massively parallel sequencing (MPS) provides forensic DNA laboratories an option to overcome the limitations associated with CE and current STR assays. Verogen's MPS Forenseq DNA Signature kit concomitantly amplifies 27 autosomal, 7 X-, and 24 Y-STRs. In addition, 94 identity, 56 ancestry, and 22 phenotypic-informative SNPs are included for a total of over 200 markers in one multiplex. An internal validation of this platform was conducted using reference samples to investigate whether the Forenseq™ DNA Signature Prep kit, specifically primer panel B, has the capability to provide consistent and accurate typing/sequencing data. The data presented in this report is limited to that corresponding to autosomal and Y-STRs. Results suggest that the system can consistently generate accurate genotyping data when up to 40 high-quality, high-quantity (i.e. 1 ng) single source samples are pooled into a sequencing reaction. The results generated were used to determine appropriate analysis parameters and thresholds for streamlined data interpretation of reference samples.

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Summary Ocular Adnexal Lymphomas (OALs) are the most common tumors of the eye, the majority being extranodal mucosa‐associated lymphoid tissue (MALT) lymphomas. Association with Chlamydia psittaci was described in some geographic areas. OAL response to antibiotic therapy was reported in cases not harboring Chlamydia psittaci DNA, suggesting that other bacterial infection might be implicated in the pathogenesis. We examined 49 MALT OALs for bacterial DNA using two distinct polymerase chain reaction techniques based on universal bacterial primers. No bacterial DNA that could be implicated in OAL pathogenesis was detected, suggesting that bacterial infection is not associated with OAL in South Florida.