The transcriptome of H. satumaensis under exposure to insect hormones was analyzed to investigate their relationship. It revealed four groups of genes changed in response to insect hormones.
🔗 By Jiaojiao Qu et al. @mSystemsJjournals.asm.org/doi/10.1128…
Simulation-based approaches to characterize metagenome coverage as a function of sequencing effort and microbial community structure published as: dx.doi.org/10.1128/msystems.…@mSystemsj#biorxiv
🔬Do you have what it takes to lead @mSystemsJ? Our team seeks 6 Senior Editors to bring the journal into the future! ⏳Apply by March 23 to help shape the direction of systems biology: journals.asm.org/journal/msy…#ASMJournals
Pangenome network analysis of 110 M. tuberculosis clinical isolates reveals important regions of genomic diversity among genes engaged in host evasion and drug resistance, highlighting gaps in our understanding of the pathogen. @mSystemsJ: asm.social/2ki
ALT Distribution of genes shared by lineage in the pangenome. (A) Diagram showing both the number of genes shared and unique to the lineages in the study sample (N = 110 isolates). Lineage-specific pangenome gene lists represent genes that are found in at least one isolate in the lineage. (B) Bi-plot of first two principal components, based on the presence/absence of genes in the pangenome, shown by lineage. The location of H37Rv on the bi-plot is indicated by the black line. (C) Heat map of full pangenome annotated by lineage. As most of the genes are conserved by all isolates in the pangenome, the distribution of genes in the accessory genome (D) is displayed in the outlet.
El análisis de la red pangenoma de 110 aislados clínicos de M. tuberculosis revela regiones de diversidad genómica entre genes involucrados en la evasión del huésped y la resistencia a los medicamentos, destacando las lagunas en nuestra comprensión del patógeno. @mSystemsJ
Pangenome network analysis of 110 M. tuberculosis clinical isolates reveals important regions of genomic diversity among genes engaged in host evasion and drug resistance, highlighting gaps in our understanding of the pathogen. @mSystemsJ: asm.social/2ki
ALT Distribution of genes shared by lineage in the pangenome. (A) Diagram showing both the number of genes shared and unique to the lineages in the study sample (N = 110 isolates). Lineage-specific pangenome gene lists represent genes that are found in at least one isolate in the lineage. (B) Bi-plot of first two principal components, based on the presence/absence of genes in the pangenome, shown by lineage. The location of H37Rv on the bi-plot is indicated by the black line. (C) Heat map of full pangenome annotated by lineage. As most of the genes are conserved by all isolates in the pangenome, the distribution of genes in the accessory genome (D) is displayed in the outlet.
Analysis of over 14 years of eukaryotic amplicon data collected monthly at the San Pedro Ocean Time-series station revealed important ecosystem properties and protist-protist interactions shaping protistan community composition. Learn more in @mSystemsJ: asm.social/2hx
ALT Major taxonomic groups comprising the protistan communities observed each month at the SPOT station from 2003 to 2018. The taxonomic groups were manually curated.
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Our new paper is now published in @mSystemsJ
"Jellyfish blooms—an overlooked hotspot and potential vector for the transmission of #AMR in marine environments"
Led by Alan Elena, @TinkaraTinta & me.
journals.asm.org/doi/10.1128…
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This @mSystemsJ study reveals multi-omic host response signatures response associated with the presence, type and outcome of enterococcal bacteremia (EcB), identifying features that can discriminate EcB infection from healthy states. Learn more: asm.social/2gJ
ALT Multi-omic analysis of enterococcal bacteremia patient plasma. (A) Workflow for enterococcal bacteremia plasma analysis. (B) Distribution of values collected from selected clinical metadata fields across enterococcal bacteremia patients. (C) Unsupervised hierarchical clustering of proteomics data as visualized after calculating Euclidean distance and utilizing the Ward.D2 agglomeration method. Col
It is difficult to introduce genetic modifications into microbial strains during industrial-scale cultivation without compromising fitness. In @mSystemsJ: an approach to guide pathway configurations for enhanced CO2 fixation through metabolic engineering. asm.social/2h7
ALT Contour plot of ATP cost for carbon fixation in molATP/molCO2 for each of the six major microbial pathways with no minimum driving force imposed. The right y-axis indicates an equivalent electron donor reduction potential to the hydrogen concentration. Negative ATP cost values indicate that net ATP is produced. The middle two pathways in blue font are aerobic, all other anaerobic.
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