Artificial neural network analysis of microbial diversity in the central and southern Adriatic Sea.

ABSTRACT: Bacteria are an active and diverse component of pelagic communities. The identification of main factors governing microbial diversity and spatial distribution requires advanced mathematical analyses. Here, the bacterial community composition was analysed, along with a depth profile, in the open Adriatic Sea using amplicon sequencing of bacterial 16S rRNA and the Neural gas algorithm. The performed analysis classified the sample into four best matching units representing heterogenic patterns of the bacterial community composition. The observed parameters were more differentiated by depth than by area, with temperature and identified salinity as important environmental variables. The highest diversity was observed at the deep chlorophyll maximum, while bacterial abundance and production peak

SUBMITTER: Santic D 

PROVIDER: S-EPMC8159981 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature