research data . Dataset . 2018

Design and in vitro realization of carbon-conserving photorespiration - Computational Analysis

Trudeau, Devin L.; Edlich-Muth, Christian; Zarzycki, Jan; Scheffen, Marieke; Goldsmith, Moshe; Khersonsky, Olga; Avizemer, Ziv; Fleishman, Sarel J.; Cotton, Charles A.R; Erb, Tobias J.; ...
Open Access English
  • Published: 19 Nov 2018
  • Publisher: Zenodo
Abstract
Our aim is to develop a framework for modeling C3 photosynthesis in mesophyll cells that allows us to compare native photorespiration with engineered photosynthetic shunts. In particular, we want to model conditions that are most relevant to agricultural crops, i.e. a range of light intensities and both ambient and low CO2 intercellular airspace concentrations. Here we presented our computational analysis based on pathSeekR, the stoichiometric-kinetic model, kinetic models of photorespiration shunts and pathSeekR pathway architectures.
Subjects
free text keywords: computational modeling, photosynthesis, photorespiration, C3 photosynthesis, pathSeekR
Funded by
EC| FutureAgriculture
Project
FutureAgriculture
Transforming the future of agriculture through synthetic photorespiration
  • Funder: European Commission (EC)
  • Project Code: 686330
  • Funding stream: H2020 | RIA
Validated by funder
Communities
FET H2020FET OPEN: FET-Open research projects
FET H2020FET OPEN: Transforming the future of agriculture through synthetic photorespiration
Download fromView all 4 versions
Zenodo
Dataset . 2018
Provider: Datacite
Zenodo
Dataset . 2018
Provider: Datacite
Zenodo
Dataset . 2018
Provider: Zenodo
Any information missing or wrong?Report an Issue