Epidemiological and genetic characterization of Clostridium butyricum cultured from neonatal cases of necrotizing enterocolitis in China.

OBJECTIVE: Laboratory-based characterization and traceback of Clostridium butyricum isolates linked to outbreak cases of neonatal necrotizing enterocolitis (NEC) in a hospital in China. METHODS: In total, 37 samples were collected during the NEC outbreak. Classical bacteriological methods were applied to isolate and identify Clostridium spp. Meanwhile, 24 samples collected after an outbreak were similarly tested. All Clostridium isolates were identified to species level as either C. butyricum or C. sporogenes. These isolates were subsequently subtyped using pulsed-field gel electrophoresis (PFGE). Genomic DNA was purified from 2 representative C. butyricum isolates and sequenced to completion. RESULTS: Of 37 samples collected during the NEC outbreak, 17 (45.95%) were positive for Clostridium spp. One species, C. butyricum, was cultured from 10 samples. Another species cultured from 2 other samples was identified as C. sporogenes. Both of these species were cocultured from 5 samples. Pulsotyping showed that the 15 C. butyricum and the 7 C. sporogenes isolates produced indistinguishable DNA profiles. No NEC cases were reported after disinfection following the outbreak, and all samples collected after the outbreak were negative for Clostridium spp. Whole-genome sequencing (WGS) indicated that sialidase, hemolysin, and enterotoxin virulence factors were located on the chromosomes of 2 C. butyricum isolates. CONCLUSIONS: The outbreak of NEC was epidemiologically linked to C. butyricum contamination within the hospital. This is the first report of an NEC outbreak associated with C. butyricum infection in China.

Computational Opportunities and Challenges in Finding Cyclic Peptide Modulators of Protein-Protein Interactions.

Peptide cyclization can improve stability, conformational constraint, and compactness. However, apart from beta-turn structures, which are well incorporated into cyclic peptides (CPs), many primary peptide structures and functions are markedly altered by cyclization. Accordingly, to mimic linear peptide interfaces with cyclic peptides, it can be beneficial to screen combinatorial cyclic peptide libraries. Computational methods have been developed to screen CPs, but face a number of challenges. Here, we review methods to develop in silico computational libraries, and the potential for screening naturally occurring libraries of CPs. The simplest and most rapid computational pharmacophore methods that estimate peptide three-dimensional structures to be screened versus targets are relatively easy to implement, and while the constraint on structure imposed by cyclization makes them more effective than the same approaches with linear peptides, there are a large number of limiting assumptions. In contrast, full molecular dynamics simulations of cyclic peptide structures not only are costly to implement, but also require careful attention to interpretation, so that not only is the computation time rate limiting, but the interpretation time is also rate limiting due to the analysis of the typically complex underlying conformational space of CPs. A challenge for the field of computational cyclic peptide screening is to bridge this gap effectively. Natural compound libraries of short cyclic peptides, and short cyclized regions of proteins, encoded in the genomes of many organisms present a potential treasure trove of novel functionality which may be screened via combined computational and experimental screening approaches.

Effects of metal and metalloid pollutants on the microbiota composition of feces obtained from twelve commercial pig farms across China.

Understanding the metal and metalloid contamination and microbiota composition of pig feces is an important step required to support the design and implementation of effective pollution control and prevention strategies. A survey was implemented in 12 locations across China to investigate the content of metals and metalloids, and the main composition of the microbial communities of commercially reared pigs during two growth periods, defined as the early (Q group) and the later fattening growth phases (H group). These data showed widespread Al, Mn, Cu, Zn, and Fe pollution in pig feces. The concentration of Zn in the Q group feces was nearly two times higher than the levels measured in the H group. The microbial composition of the Q group exhibited greater richness of operational taxonomic units (OTUs) and fewer bacteria associated with zoonotic diseases compared with the microbial composition of the H group. Spearman rank correlation analysis showed that Cu and northern latitudes had a significant positive effect on the richness of bacterial communities in pig feces. Zn and Cd exhibited the biggest impact on microbial community composition based on canonical correspondence analysis. Functional metagenomic prediction indicated that about 0.8% genes present in the pig feces bacteria community are related to human diseases, and significantly more predicted pathogenic genes were detected in the H group than in the Q group. These results support the need to monitor heavy metal contamination and to control for zoonotic pathogens disseminated from pig feces in Chinese pig farms.

Evolutionary instability of CUG-Leu in the genetic code of budding yeasts.

The genetic code used in nuclear genes is almost universal, but here we report that it changed three times in parallel during the evolution of budding yeasts. All three changes were reassignments of the codon CUG, which is translated as serine (in 2 yeast clades), alanine (1 clade), or the 'universal' leucine (2 clades). The newly discovered Ser2 clade is in the final stages of a genetic code transition. Most species in this clade have genes for both a novel tRNASer(CAG) and an ancestral tRNALeu(CAG) to read CUG, but only tRNASer(CAG) is used in standard growth conditions. The coexistence of these alloacceptor tRNA genes indicates that the genetic code transition occurred via an ambiguous translation phase. We propose that the three parallel reassignments of CUG were not driven by natural selection in favor of their effects on the proteome, but by selection to eliminate the ancestral tRNALeu(CAG).