Tule, Sanjana


Publications
1

Machine learning and metagenomics identifies uncharacterized taxa inferred to drive biogeochemical cycles in a subtropical hypereutrophic estuary

Citation
Prabhu et al. (2024). ISME Communications 4 (1)
Names
“Hypereutrophica” “Hypereutrophica brisbanensis” Salinivivens Nitrosopumilus brisbanensis Eutrophomonas brisbanensis Ts Salinivivens marinus Ts Eutrophovita Eutrophosalina Eutrophomonas Salsuginivita brisbanensis Ts Eutrophobiales Eutrophovitaceae Eutrophocola Eutrophocola salsuginis Ts Eutrophobiaceae Eutrophobius Eutrophobius brisbanensis Ts Eutrophomonadaceae Eutrophovita brisbanensis Ts Salivitaceae Salivita Salivita marina Ts Salsuginivita Eutrophosalina marina Ts Marisalimonadaceae Marisalimonas Australimonadales Australimonadaceae Australimonas brisbanensis Ts Marisalimonas marina Ts Australimonas
Abstract
Abstract Anthropogenic influences have drastically increased nutrient concentrations in many estuaries globally, and microbial communities have adapted to the resulting hypereutrophic ecosystems. However, our knowledge of the dominant microbial taxa and their potential functions in these ecosystems has remained sparse. Here, we study prokaryotic community dynamics in a temporal–spatial dataset, from a subtropical hypereutrophic estuary. Screening 54 water samples across brackish t