Your browser doesn't support javascript.
loading
Spatiotemporal distribution of environmental microbiota around animal farms adjacent to produce fields in central coast California.
Abo-Ismail, Mohammed; Sadek, Mohammad A A; Humagain, Kamal; Banjara, Nabaraj; Pokharel, Siroj.
Afiliación
  • Abo-Ismail M; Animal Science Department, California Polytechnic State University, 1 Grand Ave, San Luis Obispo, CA, 93407, USA.
  • Sadek MAA; BioResource and Agricultural Engineering, California Polytechnic State University, 1 Grand Ave, San Luis Obispo, CA, 93407, USA.
  • Humagain K; Department of Earth and Environmental Sciences, The State University of New York at Potsdam, 44 Pierrepont Ave., Potsdam, NY, 13676, USA; Althouse and Meade, Inc., 1650 Ramada Dr., Suite 180, Paso Robles, CA, 93446, USA.
  • Banjara N; Department of Biological and Physical Sciences, University of Holy Cross, 4123 Woodland Dr., New Orleans, 70131, USA.
  • Pokharel S; Animal Science Department, California Polytechnic State University, 1 Grand Ave, San Luis Obispo, CA, 93407, USA. Electronic address: spokhare@calpoly.edu.
Food Microbiol ; 124: 104598, 2024 Dec.
Article en En | MEDLINE | ID: mdl-39244357
ABSTRACT
This study aimed to identify different environmental microbiota in animal farms adjacent to produce fields and to understand their potential flow pattern. Soil and water samples were collected from 16 locations during the winter, spring, summer, and fall seasons. In addition, a high-resolution digital elevation model helped to create a stream network to understand the potential flow of the microbiome. Metagenomic analysis of the 16 S rRNA gene revealed that soil and water samples from the four seasons harbor diverse microbiome profiles. The phylogenetic relationship of operational taxonomic units (OTUs) is separated by a maximum of 0.6 Bray-Curtis distance. Similarly, the Principal Component Analysis (P = 0.001) demonstrated the soil and water microbiome clustering across different locations and seasons. The relative abundance of Proteobacteria, Bacteroidetes, and Firmicutes was higher in the water samples than in the soil samples. In contrast, the relative abundance of Actinobacteria and Chloroflexi was higher in the soil compared to the water samples. Soil samples in summer and water samples in spring had the highest abundance of Bacteroidetes and Firmicutes, respectively. A unique microbial community structure was found in water samples, with an increased abundance of Hydrogenophaga and Solirubrobacter. Genera that were significantly abundant at a 1% false discovery rate (FDR) among seasons and soil or water samples, include Nocardioides, Gemmatimonas, JG30-KF-CM45, Massilia, Gaiellales, Sphingomonas, KD4-96, Bacillus, Streptomyces, Gaiella, and Gemmatimonadaceae. The relative abundance of pathogenic genera, including Mycobacterium, Bacteroides, Nocardia, Clostridium, and Corynebacterium, were significantly (at 1% FDR) affected by seasons and environmental type. The elevation-based stream network model suggests the potential flow of microbiomes from the animal farm to the produce fields.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estaciones del Año / Microbiología del Suelo / Bacterias / Microbiota / Granjas Límite: Animals País/Región como asunto: America do norte Idioma: En Revista: Food Microbiol Asunto de la revista: CIENCIAS DA NUTRICAO / MICROBIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estaciones del Año / Microbiología del Suelo / Bacterias / Microbiota / Granjas Límite: Animals País/Región como asunto: America do norte Idioma: En Revista: Food Microbiol Asunto de la revista: CIENCIAS DA NUTRICAO / MICROBIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido