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April 21, 2020  |  

An African Salmonella Typhimurium ST313 sublineage with extensive drug-resistance and signatures of host adaptation.

Bloodstream infections by Salmonella enterica serovar Typhimurium constitute a major health burden in sub-Saharan Africa (SSA). These invasive non-typhoidal (iNTS) infections are dominated by isolates of the antibiotic resistance-associated sequence type (ST) 313. Here, we report emergence of ST313 sublineage II.1 in the Democratic Republic of the Congo. Sublineage II.1 exhibits extensive drug resistance, involving a combination of multidrug resistance, extended spectrum ß-lactamase production and azithromycin resistance. ST313 lineage II.1 isolates harbour an IncHI2 plasmid we name pSTm-ST313-II.1, with one isolate also exhibiting decreased ciprofloxacin susceptibility. Whole genome sequencing reveals that ST313 II.1 isolates have accumulated genetic signatures potentially associated with altered pathogenicity and host adaptation, related to changes observed in biofilm formation and metabolic capacity. Sublineage II.1 emerged at the beginning of the 21st century and is involved in on-going outbreaks. Our data provide evidence of further evolution within the ST313 clade associated with iNTS in SSA.


April 21, 2020  |  

Genomic erosion and extensive horizontal gene transfer in gut-associated Acetobacteraceae.

Symbiotic relationships between animals and bacteria have profound impacts on the evolutionary trajectories of each partner. Animals and gut bacteria engage in a variety of relationships, occasionally persisting over evolutionary timescales. Ants are a diverse group of animals that engage in many types of associations with taxonomically distinct groups of bacterial associates. Here, we bring into culture and characterize two closely-related strains of gut associated Acetobacteraceae (AAB) of the red carpenter ant, Camponotus chromaiodes.Genome sequencing, assembly, and annotation of both strains delineate stark patterns of genomic erosion and sequence divergence in gut associated AAB. We found widespread horizontal gene transfer (HGT) in these bacterial associates and report elevated gene acquisition associated with energy production and conversion, amino acid and coenzyme transport and metabolism, defense mechanisms, and lysine export. Both strains have acquired the complete NADH-quinone oxidoreductase complex, plausibly from an Enterobacteriaceae origin, likely facilitating energy production under diverse conditions. Conservation of several lysine biosynthetic and salvage pathways and accumulation of lysine export genes via HGT implicate L-lysine supplementation by both strains as a potential functional benefit for the host. These trends are contrasted by genome-wide erosion of several amino acid biosynthetic pathways and pathways in central metabolism. We perform phylogenomic analyses on both strains as well as several free living and host associated AAB. Based on their monophyly and deep divergence from other AAB, these C. chromaiodes gut associates may represent a novel genus. Together, our results demonstrate how extensive horizontal transfer between gut associates along with genome-wide deletions leads to mosaic metabolic pathways. More broadly, these patterns demonstrate that HGT and genomic erosion shape metabolic capabilities of persistent gut associates and influence their genomic evolution.Using comparative genomics, our study reveals substantial changes in genomic content in persistent associates of the insect gastrointestinal tract and provides evidence for the evolutionary pressures inherent to this environment. We describe patterns of genomic erosion and horizontal acquisition that result in mosaic metabolic pathways. Accordingly, the phylogenetic position of both strains of these associates form a divergent, monophyletic clade sister to gut associates of honey bees and more distantly to Gluconobacter.


April 21, 2020  |  

Comparative genomics reveals structural and functional features specific to the genome of a foodborne Escherichia coli O157:H7.

Escherichia coli O157:H7 (O157) has been linked to numerous foodborne disease outbreaks. The ability to rapidly sequence and analyze genomes is important for understanding epidemiology, virulence, survival, and evolution of outbreak strains. In the current study, we performed comparative genomics to determine structural and functional features of the genome of a foodborne O157 isolate NADC 6564 and infer its evolutionary relationship to other O157 strains.The chromosome of NADC 6564 contained 5466?kb compared to reference strains Sakai (5498?kb) and EDL933 (5547?kb) and shared 41 of its 43 Linear Conserved Blocks (LCB) with the reference strains. However, 18 of 41 LCB had inverse orientation in NADC 6564 compared to the reference strains. NADC 6564 shared 18 of 19 bacteriophages with reference strains except that the chromosomal positioning of some of the phages differed among these strains. The additional phage (P19) of NADC 6564 was located on a 39-kb insertion element (IE) encoding several hypothetical proteins, an integrase, transposases, transcriptional regulators, an adhesin, and a phosphoethanolamine transferase (PEA). The complete homologs of the 39-kb?IE were found in E. coli PCN061 of porcine origin. The IE-encoded PEA showed low homology (32-33%) to four other PEA in NADC 6564 and PEA linked to mobilizable colistin resistance in E. coli but was highly homologous (95%) to a PEA of uropathogenic, avian pathogenic, and enteroaggregative E. coli. NADC 6564 showed slightly higher minimum inhibitory concentration of colistin compared to the reference strains. The 39-kb?IE also contained dndBCDE and dptFGH operons encoding DNA S-modification and a restriction pathway, linked to oxidative stress tolerance and self-defense against foreign DNA, respectively. Evolutionary tree analysis grouped NADC 6564 with lineage I O157 strains.These results indicated that differential phage counts and different chromosomal positioning of many bacteriophages and genomic islands might have resulted in recombination events causing altered chromosomal organization in NADC 6564. Evolutionary analysis grouped NADC 6564 with lineage I strains and suggested its earlier divergence from these strains. The ability to perform S-DNA modification might affect tolerance of NADC 6564 to various stressors.


April 21, 2020  |  

Assignment of virus and antimicrobial resistance genes to microbial hosts in a complex microbial community by combined long-read assembly and proximity ligation.

We describe a method that adds long-read sequencing to a mix of technologies used to assemble a highly complex cattle rumen microbial community, and provide a comparison to short read-based methods. Long-read alignments and Hi-C linkage between contigs support the identification of 188 novel virus-host associations and the determination of phage life cycle states in the rumen microbial community. The long-read assembly also identifies 94 antimicrobial resistance genes, compared to only seven alleles in the short-read assembly. We demonstrate novel techniques that work synergistically to improve characterization of biological features in a highly complex rumen microbial community.


April 21, 2020  |  

CAMISIM: simulating metagenomes and microbial communities.

Shotgun metagenome data sets of microbial communities are highly diverse, not only due to the natural variation of the underlying biological systems, but also due to differences in laboratory protocols, replicate numbers, and sequencing technologies. Accordingly, to effectively assess the performance of metagenomic analysis software, a wide range of benchmark data sets are required.We describe the CAMISIM microbial community and metagenome simulator. The software can model different microbial abundance profiles, multi-sample time series, and differential abundance studies, includes real and simulated strain-level diversity, and generates second- and third-generation sequencing data from taxonomic profiles or de novo. Gold standards are created for sequence assembly, genome binning, taxonomic binning, and taxonomic profiling. CAMSIM generated the benchmark data sets of the first CAMI challenge. For two simulated multi-sample data sets of the human and mouse gut microbiomes, we observed high functional congruence to the real data. As further applications, we investigated the effect of varying evolutionary genome divergence, sequencing depth, and read error profiles on two popular metagenome assemblers, MEGAHIT, and metaSPAdes, on several thousand small data sets generated with CAMISIM.CAMISIM can simulate a wide variety of microbial communities and metagenome data sets together with standards of truth for method evaluation. All data sets and the software are freely available at https://github.com/CAMI-challenge/CAMISIM.


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