Stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes

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...

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Main Authors: Lauro, Federico M., Su, Haibin, Zhu, Kaicheng
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/86852
http://hdl.handle.net/10220/45330
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-868522020-09-26T21:54:43Z Stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes Lauro, Federico M. Su, Haibin Zhu, Kaicheng Asian School of the Environment Interdisciplinary Graduate School (IGS) Singapore Centre for Environmental Life Sciences Engineering Institute of Advanced Studies Meromictic Lakes Bacterial Metabolism 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. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Published version 2018-07-27T08:06:30Z 2019-12-06T16:30:13Z 2018-07-27T08:06:30Z 2019-12-06T16:30:13Z 2018 Journal Article 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-. 2045-2322 https://hdl.handle.net/10356/86852 http://hdl.handle.net/10220/45330 10.1038/s41598-018-27973-2 en Scientific Reports © 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/. 7 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Meromictic Lakes
Bacterial Metabolism
spellingShingle Meromictic Lakes
Bacterial Metabolism
Lauro, Federico M.
Su, Haibin
Zhu, Kaicheng
Stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes
description 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.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Lauro, Federico M.
Su, Haibin
Zhu, Kaicheng
format Article
author Lauro, Federico M.
Su, Haibin
Zhu, Kaicheng
author_sort Lauro, Federico M.
title Stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes
title_short Stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes
title_full Stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes
title_fullStr Stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes
title_full_unstemmed Stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes
title_sort stratification modelling of key bacterial taxa driven by metabolic dynamics in meromictic lakes
publishDate 2018
url https://hdl.handle.net/10356/86852
http://hdl.handle.net/10220/45330
_version_ 1681056210985418752