Evidence map›Paper›PMID 28880924›Full record

ArticlePloS one2017

Localization of (photo)respiration and CO2 re-assimilation in tomato leaves investigated with a reaction-diffusion model.

Herman N C Berghuijs, Xinyou Yin, Q Tri Ho, Moges A Retta, Pieter Verboven, Bart M Nicolaï, Paul C Struik

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Herman N C BerghuijsCentre for Crop Systems Analysis, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, The Netherlands.
Xinyou YinCentre for Crop Systems Analysis, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, The Netherlands.
Q Tri HoFlanders Center of Postharvest Technology / BIOSYST-MeBioS, Katholieke Universiteit Leuven, Willem de Croylaan 42, Leuven, Belgium.
Moges A RettaCentre for Crop Systems Analysis, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0002-4835-7274
Pieter VerbovenFlanders Center of Postharvest Technology / BIOSYST-MeBioS, Katholieke Universiteit Leuven, Willem de Croylaan 42, Leuven, Belgium.
Bart M NicolaïFlanders Center of Postharvest Technology / BIOSYST-MeBioS, Katholieke Universiteit Leuven, Willem de Croylaan 42, Leuven, Belgium.
Paul C StruikCentre for Crop Systems Analysis, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0003-2196-547X
Wageningen University & Research · NLKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate of photosynthesis depends on the CO2 partial pressure near Rubisco, Cc, which is commonly calculated by models using the overall mesophyll resistance. Such models do not explain the difference between the CO2 level in the intercellular air space and Cc mechanistically. This problem can be overcome by reaction-diffusion models for CO2 transport, production and fixation in leaves. However, most reaction-diffusion models are complex and unattractive for procedures that require a large number of runs, like parameter optimisation. This study provides a simpler reaction-diffusion model. It is parameterized by both leaf physiological and leaf anatomical data. The anatomical data consisted of the thickness of the cell wall, cytosol and stroma, and the area ratios of mesophyll exposed to the intercellular air space to leaf surfaces and exposed chloroplast to exposed mesophyll surfaces. The model was used directly to estimate photosynthetic parameters from a subset of the measured light and CO2 response curves; the remaining data were used for validation. The model predicted light and CO2 response curves reasonably well for 15 days old tomato (cv. Admiro) leaves, if (photo)respiratory CO2 release was assumed to take place in the inner cytosol or in the gaps between the chloroplasts. The model was also used to calculate the fraction of CO2 produced by (photo)respiration that is re-assimilated in the stroma, and this fraction ranged from 56 to 76%. In future research, the model should be further validated to better understand how the re-assimilation of (photo)respired CO2 is affected by environmental conditions and physiological parameters.

Indexed as

LightModels, BiologicalBiological TransportCarbon DioxideCell RespirationComputer SimulationCytosolDiffusionMesophyll CellsPlant LeavesReproducibility of ResultsSolanum lycopersicumVacuolesCarbon Dioxide

Identifiers

PMID28880924
PMCPMC5589127
OpenAlexW2753815299

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.