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ARS Home » Plains Area » Fargo, North Dakota » Edward T. Schafer Agricultural Research Center » Sugarbeet Research » Research » Publications at this Location » Publication #412739
Research Project: Improving Sugarbeet Productivity and Sustainability through Genetic, Genomic, Physiological, and Phytopathological Approaches

Location: Sugarbeet Research

Title: Microbial profiling of raw diffusion juice from the factory processing of sugarbeet

Author
item Kandel, Shyam
item BILL, MALICK - North Dakota State University

Submitted to: Microbial Ecology International Symposium
Publication Type: Abstract Only
Publication Acceptance Date: 4/5/2024
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Microbial populations from tare soil, sugarbeet roots, and machinery surfaces, and flume water are likely to be introduced into processing factory and this poses several challenges during sugar extraction. Full length 16S rRNA amplicon sequencing (Oxford Nanopore Technologies) was used to profile bacterial contaminants in raw sugarbeet juice from 21 factories at four different stages of the 2021 and 2022 processing campaigns in the US. Bacterial communities of raw sugarbeet juice were dominated by Firmicutes (85.5%) phylum during both processing campaigns. Lactic acid bacteria, Leuconostoc and Lactobacillus were amongst the core and dominant bacterial genera in raw juice. Furthermore, 54 bacterial genera were differentially abundant between sampling periods i.e., raw juice from fresh, stockpiled, and aged, stockpiled roots during the 2021 campaign. This number declined to only three differential abundant genera in 2022. The raffinose concentration in raw sugarbeet juice was significantly positively correlated to the abundance of Leuconostoc bacterium. The current study provides important baseline data to initiate mitigation strategies of bacterial contaminants in raw sugarbeet juice at different processing periods.