Unknown

Dataset Information

0

A multi-organ maize metabolic model connects temperature stress with energy production and reducing power generation.


ABSTRACT: Climate change has adversely affected maize productivity. Thereby, a holistic understanding of metabolic crosstalk among its organs is important to address this issue. Thus, we reconstructed the first multi-organ maize metabolic model, iZMA6517, and contextualized it with heat and cold stress transcriptomics data using expression distributed reaction flux measurement (EXTREAM) algorithm. Furthermore, implementing metabolic bottleneck analysis on contextualized models revealed differences between these stresses. While both stresses had reducing power bottlenecks, heat stress had additional energy generation bottlenecks. We also performed thermodynamic driving force analysis, revealing thermodynamics-reducing power-energy generation axis dictating the nature of temperature stress responses. Thus, a temperature-tolerant maize ideotype can be engineered by leveraging the proposed thermodynamics-reducing power-energy generation axis. We experimentally inoculated maize root with a beneficial mycorrhizal fungus, Rhizophagus irregularis, and as a proof-of-concept demonstrated its efficacy in alleviating temperature stress. Overall, this study will guide the engineering effort of temperature stress-tolerant maize ideotypes.

SUBMITTER: Chowdhury NB 

PROVIDER: S-EPMC10709110 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

A multi-organ maize metabolic model connects temperature stress with energy production and reducing power generation.

Chowdhury Niaz Bahar NB   Simons-Senftle Margaret M   Decouard Berengere B   Quillere Isabelle I   Rigault Martine M   Sajeevan Karuna Anna KA   Acharya Bibek B   Chowdhury Ratul R   Hirel Bertrand B   Dellagi Alia A   Maranas Costas C   Saha Rajib R  

iScience 20231107 12


Climate change has adversely affected maize productivity. Thereby, a holistic understanding of metabolic crosstalk among its organs is important to address this issue. Thus, we reconstructed the first multi-organ maize metabolic model, <i>i</i>ZMA6517, and contextualized it with heat and cold stress transcriptomics data using expression distributed reaction flux measurement (EXTREAM) algorithm. Furthermore, implementing metabolic bottleneck analysis on contextualized models revealed differences  ...[more]

Similar Datasets

| S-EPMC1270238 | biostudies-other
2016-08-18 | E-MTAB-3522 | biostudies-arrayexpress
| S-EPMC8759650 | biostudies-literature
| S-EPMC9732281 | biostudies-literature
| S-EPMC9424234 | biostudies-literature
| S-EPMC9636176 | biostudies-literature
| S-EPMC7526987 | biostudies-literature
| S-EPMC4441196 | biostudies-literature
| S-EPMC11292522 | biostudies-literature
| S-EPMC7804265 | biostudies-literature