DNA data (genome skims and metabarcodes) paired with chemical data demonstrate utility for retrospective analysis of forage linked to fatal poisoning of cattle

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Publicado en:bioRxiv (Jan 8, 2025)
Autor principal: Cook, Daniel
Otros Autores: Kocurek, Brandon Joseph, Stonecipher, Clint, Welch, Kevin D, Gardner, Dale R, Mammel, Mark K, Reed, Elizabeth, Ramachandran, Padmini, Erickson, David, Commichaux, Seth, Ottesen, Andrea
Publicado:
Cold Spring Harbor Laboratory Press
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Acceso en línea:Citation/Abstract
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Resumen:Prepared and stored feeds, fodder, silage, and hay may be contaminated by toxic plants resulting in the loss of livestock. Several poisonous plants have played significant roles in livestock deaths from forage consumption in recent years in the Western United States including Salvia reflexa. Metagenomic data, genome skims and metabarcodes, have been used for identification and characterization of plants in complex matrices including diet composition of animals, mixed forages, and herbal products. Here, chemistry, genome skims, and metabarcoding were used to retrospectively describe the composition of contaminated alfalfa hay from a case of Salvia reflexa poisoning that killed 165 cattle. Genome skims and metabarcoding provided similar estimates of the relative abundance of the Salvia in the hay samples when compared to chemical methods. Additionally, genome skims and metabarcoding provided similar estimates of species composition in the contaminated hay and rumen contents of poisoned animals. The data demonstrate that genome skims and DNA metabarcoding may provide useful tools for plant poisoning investigations.Competing Interest StatementThe authors have declared no competing interest.
ISSN:2692-8205
DOI:10.1101/2025.01.06.631623
Fuente:Biological Science Database