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Battlefield injury management requires specialized care, and wound infection is a frequent complication. Challenges related to characterizing relevant pathogens further complicates treatment. Applying metagenomics to wounds offers a comprehensive path toward assessing microbial genomic fingerprints and could indicate prognostic variables for future decision support tools. Wound specimens from combat-injured U.S. service members, obtained during surgical debridements before delayed wound closure, were subjected to whole metagenome analysis and targeted enrichment of antimicrobial resistance genes. Results did not indicate a singular, common microbial metagenomic profile for wound failure, instead reflecting a complex microenvironment with varying bioburden diversity across outcomes. Genus-level Pseudomonas detection was associated with wound failure at all surgeries. A logistic regression model was fit to the presence and absence of antimicrobial resistance classes to assess associations with nosocomial pathogens. A. baumannii detection was associated with detection of genomic signatures for resistance to trimethoprim, aminoglycosides, bacitracin, and polymyxin. Machine learning classifiers were applied to identify wound and microbial variables associated with outcome. Feature importance rankings averaged across models indicated the variables with the largest effects on predicting wound outcome, including an increase in P. putida sequence reads. These results describe the microbial genomic determinants in combat wound bioburden and demonstrate metagenomic investigation as a comprehensive tool for providing information toward aiding treatment of combat-related injuries.

Although clinostats have long been used in space microbiology studies as ground-based analogs of spaceflight, few studies to date have systematically compared -omics data from clinostats versus spaceflight. This study compared the transcriptomic response of the Gram-positive bacterium Bacillus subtilis flown in space with corresponding transcriptomes derived from 2-D clinostat (High Aspect Ratio Vessel: HARV) experiments performed under the same conditions of bacterial strain, growth medium, temperature, and incubation time. High-quality total RNA (RNA Integrity Number >9.6) was isolated from multiple biological replicates from each treatment, transcripts were quantified by RNA-seq, and raw data was processed through a previously described standardized bioinformatics pipeline. Transcriptome data sets from spaceflight-grown and corresponding clinostat-grown cells were compared by using three different methods: (i) principal component analysis, (ii) analysis of differentially expressed genes, and (iii) gene set enrichment analysis of KEGG pathways. All three analyses found a low degree of concordance between the spaceflight and corresponding clinostat transcriptome data sets, ranging from 0.9% to 5.3% concordance. These results are in agreement with prior studies that also revealed low concordances between spaceflight and clinostat transcriptomes of the Gram-negative bacteria Rhodospirillum rubrum and Pseudomonas aeruginosa. The results are discussed from the perspective of several potential confounding factors, and suggestions are offered with the aim of achieving increased concordance between clinostat and spaceflight data. [ABSTRACT FROM AUTHOR]

Mist nets of three mesh sizes were used at 36 net sites in old-growth chaparral. Each size was used for the same number of net hours, once at each net site, over a span of 38 weeks. The 30 mm mesh mist nets caught 54% more birds than the 36 mm mesh mist nets, and 237% more than the 60 mm mesh mist nets. Although several small species were captured more often in the 30 mm mesh, there was no significant tendency for thrushsized birds. [ABSTRACT FROM AUTHOR]

Results from previous experiments indicated that the Gram-negative α-proteobacterium Serratia liquefaciens strain ATCC 27592 was capable of growth under low temperature (0 °C), low pressure (0.7 kPa), and anoxic, CO2-dominated atmosphere-conditions intended to simulate the near-subsurface environment of Mars. To probe the response of its transcriptome to this extreme environment, S. liquefaciens ATCC 27592 was cultivated under 4 different environmental simulations: 0 °C, 0.7 kPa, CO2 atmosphere (Condition A); 0 °C, ~101.3 kPa, CO2 atmosphere (Condition B); 0 °C, ~101.3 kPa, ambient N2/O2 atmosphere (Condition C); and 30 °C, ~101.3 kPa, N2/O2 atmosphere (Condition D; ambient laboratory conditions). RNA-seq was performed on ribosomal RNA-depleted total RNA isolated from triplicate cultures grown under Conditions A-D and the datasets generated were subjected to transcriptome analyses. The data from Conditions A, B, or C were compared to laboratory Condition D. Significantly differentially expressed transcripts were identified belonging to a number of KEGG pathway categories. Up-regulated genes under all Conditions A, B, and C included those encoding transporters (ABC and PTS transporters); genes involved in translation (ribosomes and their biogenesis, biosynthesis of both tRNAs and aminoacyl-tRNAs); DNA repair and recombination; and non-coding RNAs. Genes down-regulated under all Conditions A, B, and C included: transporters (mostly ABC transporters); flagellar and motility proteins; genes involved in phenylalanine metabolism; transcription factors; and two-component systems. The results are discussed in the context of Mars astrobiology and planetary protection. [ABSTRACT FROM AUTHOR]

Results from previous experiments indicated that the Gram-negative α-proteobacterium Serratia liquefaciens strain ATCC 27592 was capable of growth under low temperature (0 °C), low pressure (0.7 kPa), and anoxic, CO 2 -dominated atmosphere-conditions intended to simulate the near-subsurface environment of Mars. To probe the response of its transcriptome to this extreme environment, S. liquefaciens ATCC 27592 was cultivated under 4 different environmental simulations: 0 °C, 0.7 kPa, CO 2 atmosphere (Condition A); 0 °C, ~101.3 kPa, CO 2 atmosphere (Condition B); 0 °C, ~101.3 kPa, ambient N 2 /O 2 atmosphere (Condition C); and 30 °C, ~101.3 kPa, N 2 /O 2 atmosphere (Condition D; ambient laboratory conditions). RNA-seq was performed on ribosomal RNA-depleted total RNA isolated from triplicate cultures grown under Conditions A-D and the datasets generated were subjected to transcriptome analyses. The data from Conditions A, B, or C were compared to laboratory Condition D. Significantly differentially expressed transcripts were identified belonging to a number of KEGG pathway categories. Up-regulated genes under all Conditions A, B, and C included those encoding transporters (ABC and PTS transporters); genes involved in translation (ribosomes and their biogenesis, biosynthesis of both tRNAs and aminoacyl-tRNAs); DNA repair and recombination; and non-coding RNAs. Genes down-regulated under all Conditions A, B, and C included: transporters (mostly ABC transporters); flagellar and motility proteins; genes involved in phenylalanine metabolism; transcription factors; and two-component systems. The results are discussed in the context of Mars astrobiology and planetary protection.