Detection of Spatial and Temporal Influences on Bacterial Communities in an Urban Stream by Automated Ribosomal Intergenic Ribosomal Spacer Analysis

Abstract

The Yarqon is the largest urban river in Israel, and is a slow-flowing stream whose water originates mostly from wastewater treatment plants. Thus, its microbial community is expected to be heavily impacted both by anthropogenic factors and by seasonal temporal variation. In order to identify the main factors that influence the bacterial community, and their spatial-temporal variation, 50 samples were collected representing five different time points and eleven locations. Samples were analyzed for biotic and a-biotic parameters and the bacterial populations were analyzed by Automated Ribosomal Intergenic Spacer Analysis (ARISA). Bacterial richness and diversity were calculated and compared across samples. Canonical Correspondence Analysis (CCA) showed that ARISA clustered the samples according to temporal variation. Molecular fingerprinting analysis provided a snapshot of the microbial community and showed good correlation with geochemical parameters, despite the rapid changes of the Mediterranean environment and the anthropogenic impact. Molecular fingerprinting methods based on natural fragment length polymorphisms may therefore represent a supplementary approach for stream monitoring, alongside physico-chemical measurements.