Genetic Neighborhoods Reveal Harmful Poultry Bacteria Strains

Researchers at the Arkansas Agricultural Experiment Station have harnessed machine‑learning to map the genetic neighborhood of Enterococcus cecorum, a bacterium that plagues poultry farms.

Genetic Neighborhoods Distinguish Harmful Strains

The approach looks beyond a simple gene list, examining which genes sit side‑by‑side on the chromosome. By training a classifier on these spatial patterns, the team achieved ↑ 92% accuracy in separating disease‑causing isolates from benign ones.

According to a Reuters report on agricultural biosecurity, such precision could slash unnecessary antibiotic use and reduce economic losses that once ran into ↓ $15 million annually.

“Understanding gene context is a game‑changer for pathogen surveillance,” said lead scientist Dr. Maya Patel.

The discovery arrives as the industry still wrestles with fallout from the recent pandemic, which exposed vulnerabilities in food‑chain monitoring.

Reported by: Julian Reed

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