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对处理新鲜农产品的配送中心微生物群落进行16S微生物组分析。

16S microbiome analysis of microbial communities in distribution centers handling fresh produce.

作者信息

Townsend Anna, den Bakker Hendrik C, Mann Amy, Murphy Claire M, Strawn Laura K, Dunn Laurel L

机构信息

Department of Food Science and Technology, University of Georgia, Athens, GA, United States.

Center for Food Safety, Department of Food Science and Technology, University of Georgia, Griffin, GA, United States.

出版信息

Front Microbiol. 2023 Jul 12;14:1041936. doi: 10.3389/fmicb.2023.1041936. eCollection 2023.

Abstract

Little is known about the microbial communities found in distribution centers (DCs), especially in those storing and handling food. As many foodborne bacteria are known to establish residence in food facilities, it is reasonable to assume that DCs handling foods are also susceptible to pathogen colonization. To investigate the microbial communities within DCs, 16S amplicon sequencing was completed on 317 environmental surface sponge swabs collected in DCs ( = 18) across the United States. An additional 317 swabs were collected in parallel to determine if any viable species were also present at each sampling site. There were significant differences in median diversity measures (observed, Shannon, and Chao1) across individual DCs, and top genera across all reads were _A, , _E, , and based on taxonomic classifications using the Genome Taxonomy Database. Of the 39 16S samples containing ASVs, four of these samples had corresponding positive microbiological samples. Data indicated a predominance of ASVs identified as cold-tolerant bacteria in environmental samples collected in DCs. Differential abundance analysis identified , , and present at a significantly greater abundance in positive microbiological compared to those negative for . Additionally, microbiome composition varied significantly across groupings within variables (e.g., DC, season, general sampling location).

摘要

人们对配送中心(DC)中发现的微生物群落知之甚少,尤其是那些储存和处理食品的配送中心。由于已知许多食源性病原体在食品设施中栖息,因此可以合理推测,处理食品的配送中心也容易受到病原体的定植。为了调查配送中心内的微生物群落,对在美国各地18个配送中心采集的317份环境表面海绵拭子样本进行了16S扩增子测序。另外还平行采集了317份拭子样本,以确定每个采样点是否也存在有活力的物种。各个配送中心的中位数多样性指标(观察值、香农指数和Chao1指数)存在显著差异,根据使用基因组分类数据库进行的分类,所有读数中的优势属为_A、_、E、。在39个含有_ASV的16S样本中,其中4个样本有相应的微生物学阳性样本。数据表明,在配送中心采集的环境样本中,被鉴定为耐冷细菌的ASV占主导地位。差异丰度分析表明,与_阴性样本相比,、_和_在_微生物学阳性样本中的丰度显著更高。此外,微生物群落组成在变量(如配送中心、季节、一般采样地点)内的分组之间存在显著差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf57/10369000/e3848e664b13/fmicb-14-1041936-g001.jpg

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