Biology subjects

Christopher-Hennings, J.

Publications and source records attributed to Christopher-Hennings, J..

4 recordsLinked to original sources

bioRxiv2021

The United States Swine Pathogen Database: integrating veterinary diagnostic laboratory sequence data to monitor emerging pathogens of swine

Veterinary diagnostic laboratories annually derive thousands of nucleotide sequences from clinical samples of swine pathogens such as porcine reproductive and respiratory syndrome virus (PRRSV), Senecavirus A, and swine enteric coronaviruses. In addition, next generation sequencing has resulted in the rapid production of full-length genomes. Presently, sequence data are released to diagnostic clients for the purposes of informing control measures, but are not publicly available as data may be associated with sensitive information. However, public sequence data can be used to objectively design field-relevant vaccines; determine when and how pathogens are spreading across the landscape; identify virus transmission hotspots; and are a critical component in genomic surveillance for pandemic preparedness. We have developed a centralized sequence database that integrates a selected set of previously private clinical data, using PRRSV data as an exemplar, alongside publicly available genomic information. We implemented the Tripal toolkit, using the open source Drupal content management system and the Chado database schema. Tripal consists of a collection of Drupal modules that are used to manage, visualize, and disseminate biological data stored within Chado. Hosting is provided by Amazon Web Services (AWS) EC2 cloud instance with resource scaling. New sequences sourced from diagnostic labs contain at a minimum four data items: genomic information; date of collection; collection location (state or province level); and a unique identifier. Users can download annotated genomic sequences from the database using a customized search interface that incorporates data mined from published literature; search for similar sequences using BLAST-based tools; and explore annotated reference genomes. Additionally, because the bulk of data presently are PRRSV sequences, custom curation and annotation pipelines have determined PRRSV genotype (Type 1 or 2), the location of open reading frames and nonstructural proteins, generated amino acid sequences, the occurrence of putative frame shifts, and restriction fragment length polymorphism (RFLP) classification of GP5 genes. Genomic data from seven major swine pathogens have been curated and annotated. The resource provides researchers timely access to sequences discovered by veterinary diagnosticians, allowing for epidemiological and comparative virology studies. The result will be a better understanding on the emergence of novel swine viruses in the United States (US), and how these novel strains are disseminated in the US and abroad. Database URLhttps://swinepathogendb.org

bioinformatics↗

bioRxiv2019

The Gut Microbiota composition of Feral and Tamworth Pigs determined using High-Throughput Culturomics and Metagenomics Reveals Compositional Variations When Compared to the Commercial Breeds

Bacterial communities in the hindguts of pigs have a profound impact on health and disease. Yet very limited studies have been performed outside intensive swine farms to determine pig gut microbiome composition in natural populations. Feral pigs represent a unique situation where the microbiome structure can be observed outside the realm of modern agriculture. Additionally, Tamworth pigs that freely forage were included to characterize the microbiome structure of this rare breed. In this study, gut microbiome of feral and Tamworth pigs were determined using metagenomics and culturomics. Tamworth pigs are highly dominated by Bacteroidetes primarily composed of the genus Prevotella whereas feral samples were more diverse with almost equal proportions of Firmicutes and Bacteroidetes. In total, 46 distinct species were successfully isolated from 1000 colonies selected. The combination of metagenomics and culture techniques facilitated a greater retrieval of annotated genes than either method alone. Furthermore, the naturally raised Tamworth pig microbiome contained more number of antibiotic resistance genes when compared to feral pig microbiome. The single medium based pig microbiota library we report is a resource to better understand pig gut microbial ecology and function by assembling simple to complex microbiota communities in bioreactors or germfree animal models.

microbiology↗

bioRxiv2018

Genome sequence and description of Blautia brookingsii str SG772 nov., a new species of anaerobic bacterium isolated from healthy human gut

Strain SG-772 is a Gram positive, strictly anoxic bacterium isolated from the feces of a healthy human fecal donor. Based on 16S rRNA gene sequence, the strain showed maximum similarity (94.39%) with Blautia stercoris GAM6-1 in EZ-Taxon server and thus assigned the genus Blautia. The scanning electron micrograph of the bacterium revealed the characteristic coccobacillus shape as well as the complete absence of flagellum, suggesting its non-motile phenotype. This strain was found to utilize 27 substrates based on Biolog AN plates assay, with maximum preference for D-mannitol. Additionally, the strain was found to be resistant to tetracycline and streptomycin. Genome sequencing and analysis revealed an overall genome size of 3.49 Mbp and GC content of 43.97%. Based on RAST annotation server, the closest neighbor was Blautia hansenii DSM20583. Average Nucleotide Identity (ANI) of these strains were 81.69%, suggesting a high level of genomic variation. The comparative genome analysis of strain SG772 with B. hansenii DSM20583 revealed a total of 411 orthologous genes coding for basic metabolic functions. Furthermore, the genomes were functionally distinct based on COG categories. Thus, based on all these differences, we propose a novel species of genus Blautia named as Blautia brookingsii SG772.

microbiology↗

bioRxiv2017

Metagenomic characterization of the effect of feed additives on the gut microbiome and antibiotic resistome of feedlot cattle

In North America, antibiotic feed additives such as monensin and tylosin are added to the finishing diets of feedlot cattle to counter the ill-effects of feeding diets with rapidly digestible carbohydrates. While these feed additives have been proven to improve feed efficiency, and reduce liver abscess incidence, how these products impact the gastrointestinal microbiota is not completely understood. Furthermore, there are concerns that antibiotic feed additives may expand the antibiotic resistome of feedlot cattle by enriching antimicrobial resistance genes in pathogenic and nonpathogenic bacteria in the gut microbiota. In this study, we analyzed the impact of providing antibiotic feed additives to feedlot cattle using metagenome sequencing of treated and untreated animals. Our results indicate that use of antibiotic feed additives does not produce discernable changes at the phylum level however treated cattle had reduced the abundance of gram-positive bacteria at the genus level. The abundance of Ruminococcus, Erysipelotrichaceae and Lachanospira in the gut of treated steers was reduced. This may impact the ability of these animals to exclude pathogens from the gut. However, our results did not show any correlation between the presence of antimicrobial resistance genes in the gut microbiota and the administration of antibiotic feed additives.

microbiology↗