Back

Enteric pathogen profiles of animal feces in Indiana

Heintzman, A.; Keenum, I.; Capone, D.

2025-10-14 occupational and environmental health
10.1101/2025.10.12.25337843 medRxiv
Show abstract

Southern Indiana has intensive livestock production, yet species-resolved fecal pathogen profiles are limited. At 10 sites in southern Indiana (April-June 2024), we collected 128 fecal specimens from 10 hosts: pigs (n=12), horses (12), cats (12), chickens (12), dogs (22), white-tailed deer (12), sheep (12), goats (12), cows (12), and humans (10). We extracted and assayed total nucleic acids using a custom 43-target TaqMan Array Card (RT-qPCR). Flotation microscopy was performed on pig and dog stools for helminth ova. In-silico specificity checks were conducted for selected targets due to potential for cross reactivity between pathogen species. Most samples (59.5%, 75/126) were positive for [≥]1 target, including enteropathogenic Escherichia coli (eae) 15.9% and shiga toxin genes (stx1 10.3%, stx2 6.3%). Higher prevalence of specific pathogens in specific animals was common, including E. coli O157:H7 in pigs (41.7%) and sheep (8.3%); Campylobacter coli in chickens (36.4%) and Klebsiella pneumoniae in humans (60%) and dogs (9.1%). We found the protozoa Giardia in 15.1% of samples (notably dogs 31.8%, cows 33.3%) and Cryptosporidium in 13.5% (cats 54.5%, cattle 25.0%, chickens 27.3%). Most (54.5%) chicken samples were positive for Plasmodium, which aligned with evidence of locally circulating avian haemosporidians. The Ascaris lumbricoides assay was positive only in pigs (16.7%), and we identified Ascaris eggs in 91.7% of pig samples via microscopy, suggesting our Ascaris lumbricoides assay cross reacted with Ascaris suum supporting detection of the swine lineage (A. suum). We detected integrase gene class 1 (intI1) in 42.9% of stools, concentrated in chickens, pigs, and horses. These findings suggest animal feces poses a public health hazard in Southern Indiana and indicate the need for targeted One Health studies to better understand the public health risks of specific exposures and animal feces management practices (e.g., farm storage capacity, land application timing, soil incorporation/injection, tile-drain proximity).

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.