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Photorespiration

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Cover of 'Photorespiration'

Table of Contents

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    Book Overview
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    Chapter 1 Estimation of Photorespiratory Fluxes by Gas Exchange
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    Chapter 2 Measurement of Transcripts Associated with Photorespiration and Related Redox Signaling
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    Chapter 3 Measurement of Enzyme Activities
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    Chapter 4 In Vitro Alkylation Methods for Assessing the Protein Redox State
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    Chapter 5 Dimethyl-Labeling-Based Quantification of the Lysine Acetylome and Proteome of Plants
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    Chapter 6 In Vitro Analysis of Metabolite Transport Proteins
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    Chapter 7 Quantification of Photorespiratory Intermediates by Mass Spectrometry-Based Approaches
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    Chapter 8 Targeted Isolation and Characterization of T-DNA Mutants Defective in Photorespiration
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    Chapter 9 Exploiting Natural Variation to Discover Candidate Genes Involved in Photosynthesis-Related Traits
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    Chapter 10 Metabolic Engineering of Photorespiration
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    Chapter 11 13CO2 Labeling and Mass Spectral Analysis of Photorespiration
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    Chapter 12 Isotopically Nonstationary Metabolic Flux Analysis (INST-MFA) of Photosynthesis and Photorespiration in Plants
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    Chapter 13 Genome-Scale Modeling of Photorespiratory Pathway Manipulation
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    Chapter 14 Kinetic Modeling of Photorespiration
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    Chapter 15 Investigating the Role of the Photorespiratory Pathway in Non-photosynthetic Tissues
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    Chapter 16 Studying the Function of the Phosphorylated Pathway of Serine Biosynthesis in Arabidopsis thaliana
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    Chapter 17 Light Microscopy, Transmission Electron Microscopy, and Immunohistochemistry Protocols for Studying Photorespiration
Attention for Chapter 12: Isotopically Nonstationary Metabolic Flux Analysis (INST-MFA) of Photosynthesis and Photorespiration in Plants
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Chapter title
Isotopically Nonstationary Metabolic Flux Analysis (INST-MFA) of Photosynthesis and Photorespiration in Plants
Chapter number 12
Book title
Photorespiration
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7225-8_12
Pubmed ID
Book ISBNs
978-1-4939-7224-1, 978-1-4939-7225-8
Authors

Fangfang Ma, Lara J. Jazmin, Jamey D. Young, Doug K. Allen

Abstract

Photorespiration is a central component of photosynthesis; however to better understand its role it should be viewed in the context of an integrated metabolic network rather than a series of individual reactions that operate independently. Isotopically nonstationary (13)C metabolic flux analysis (INST-MFA), which is based on transient labeling studies at metabolic steady state, offers a comprehensive platform to quantify plant central metabolism. In this chapter, we describe the application of INST-MFA to investigate metabolism in leaves. Leaves are an autotrophic tissue, assimilating CO2 over a diurnal period implying that the metabolic steady state is limited to less than 12 h and thus requiring an INST-MFA approach. This strategy results in a comprehensive unified description of photorespiration, Calvin cycle, sucrose and starch synthesis, tricarboxylic acid (TCA) cycle, and amino acid biosynthetic fluxes. We present protocols of the experimental aspects for labeling studies: transient (13)CO2 labeling of leaf tissue, sample quenching and extraction, mass spectrometry (MS) analysis of isotopic labeling data, measurement of sucrose and amino acids in vascular exudates, and provide details on the computational flux estimation using INST-MFA.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 4 15%
Student > Bachelor 3 11%
Student > Master 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 9 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 26%
Agricultural and Biological Sciences 3 11%
Chemical Engineering 2 7%
Engineering 2 7%
Psychology 1 4%
Other 0 0%
Unknown 12 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2017.
All research outputs
#18,569,430
of 22,999,744 outputs
Outputs from Methods in molecular biology
#7,954
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Outputs of similar age
#311,385
of 421,208 outputs
Outputs of similar age from Methods in molecular biology
#693
of 1,074 outputs
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