Temporal and spatial variation in bacterial communities on uniform substrates in non‐wadeable rivers

Abstract

Undertaking environmental assessments on non‐wadeable rivers is challenging due to their size, depth, and water velocity. The cotton strip assay (CSA) is a functional indicator used in assessing the ecological health of non‐wadeable rivers by measuring cellulose decomposition potential. Enhancing knowledge on the microbial communities responsible for decomposition would assist in developing a microbial‐based biotic index that could complement the CSA. The aims of this study were to explore the temporal and spatial variability of bacterial communities on cotton strips, identify environmental drivers of differences, and detect potential indicator taxa. Cotton strips were deployed at 12 sites, spanning a range of water quality and catchment land uses in three separate months. Each site was placed into an ecological health category (EHC) from A (healthy) to D (poor). Metabarcoding (16S rRNA) was used to characterize bacterial communities. There was a significant interaction between month and site and between month and EHC. Higher temperatures and pH were identified as key drivers of differences in bacterial communities in February (summer) and higher levels of ammoniacal nitrogen, nitrate/nitrite nitrogen, and turbidity in August (winter). After removal of amplicon sequence variants (ASVs) in low abundance, 27 taxa indicative of EHCs were identified. ASVs associated with EHC‐A were generally negatively correlated with modified land use and nitrate/nitrite nitrogen. In contrast, ASVs associated with EHC‐D were positively correlated to modified land use and temperature. With further validation, a molecular microbial index could be developed to aid in assessing the health of non‐wadeable rivers.

Developing Indicators of Nutrient Pollution in Streams Using 16S rRNA Gene Metabarcoding of Periphyton-Associated Bacteria

“…Metabarcoding resulted in more than 18,000 bacterial ASVs, of which the 429 most frequent, comprising 75% of the total relative abundance represented over 15 different bacterial phyla. This work adds to the growing field of genetic characterization of bacterial communities for indicators of ecological or environmental conditions in streams and can inform the future applications of bacterial indicators in monitoring programs [ 26 , 36 ].…”

“…DNA metabarcoding has become a valuable tool for gathering extensive amounts of microbial community data that would have been very costly or nearly impossible a few years ago [30][31][32][33][34]. Recent studies in freshwater environments have shown bacterial assemblage responses to nutrients [26,35,36], flow and fine sediment [37], temperature and pH [36], and conductivity [35].…”