Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/86852
Title: Stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes
Authors: Lauro, Federico M.
Su, Haibin
Zhu, Kaicheng
Keywords: Meromictic Lakes
Bacterial Metabolism
Issue Date: 2018
Source: Zhu, K., Lauro, F. M., & Su, H. (2018). Stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes. Scientific Reports, 8(1), 9538-.
Series/Report no.: Scientific Reports
Abstract: In meromictic lakes, the water column is stratified into distinguishable steady layers with different physico-chemical properties. The bottom portion, known as monimolimnion, has been studied for the functional stratification of microbial populations. Recent experiments have reported the profiles of bacterial and nutrient spatial distributions, but quantitative understanding is invoked to unravel the underlying mechanism of maintaining the discrete spatial organization. Here a reaction-diffusion model is developed to highlight the spatial pattern coupled with the light-driven metabolism of bacteria, which is resilient to a wide range of dynamical correlation between bacterial and nutrient species at the molecular level. Particularly, exact analytical solutions of the system are presented together with numerical results, in a good agreement with measurements in Ace lake and Rogoznica lake. Furthermore, one quantitative prediction is reported here on the dynamics of the seasonal stratification patterns in Ace lake. The active role played by the bacterial metabolism at microscale clearly shapes the biogeochemistry landscape of lake-wide ecology at macroscale.
URI: https://hdl.handle.net/10356/86852
http://hdl.handle.net/10220/45330
ISSN: 2045-2322
DOI: 10.1038/s41598-018-27973-2
Rights: © 2018 The Author(s) (Nature Publishing Group). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IAS Journal Articles

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.