Evidence map›Paper›PMID 25306245›Full record

ArticleNature biotechnology2014

Comparative analyses of C₄ and C₃ photosynthesis in developing leaves of maize and rice.

Lin Wang, Angelika Czedik-Eysenberg, Rachel A Mertz, Yaqing Si, Takayuki Tohge, Adriano Nunes-Nesi, Stephanie Arrivault, Lauren K Dedow, Douglas W Bryant, Wen Zhou and 18 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed
10.7field-weighted citation impact, top 1% 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

132 citing papers in PubMed, 293 citations in OpenAlex.

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  14. UniversalMolecules (Basel, Switzerland) · 2024
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72 more citing papers are in PubMed but not listed here.

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

28 authors at 10 institutions in 4 countries.

Lin WangThe Donald Danforth Plant Science Center, St. Louis, Missouri, USA.
Angelika Czedik-EysenbergThe Max Planck Institute for Molecular Plant Physiology, Wissenschaftspark Golm, Potsdam-Golm, Germany.
Rachel A MertzThe Donald Danforth Plant Science Center, St. Louis, Missouri, USA.
Yaqing SiDepartment of Statistics, Iowa State University, Ames, Iowa, USA.
Takayuki TohgeThe Max Planck Institute for Molecular Plant Physiology, Wissenschaftspark Golm, Potsdam-Golm, Germany.
Adriano Nunes-NesiThe Max Planck Institute for Molecular Plant Physiology, Wissenschaftspark Golm, Potsdam-Golm, Germany.
Stephanie ArrivaultThe Max Planck Institute for Molecular Plant Physiology, Wissenschaftspark Golm, Potsdam-Golm, Germany.
Lauren K DedowThe Donald Danforth Plant Science Center, St. Louis, Missouri, USA.
Douglas W BryantThe Donald Danforth Plant Science Center, St. Louis, Missouri, USA.
Wen ZhouDepartment of Statistics, Iowa State University, Ames, Iowa, USA.
Jiajia XuThe Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Sarit WeissmannThe Donald Danforth Plant Science Center, St. Louis, Missouri, USA.
Anthony StuderThe Donald Danforth Plant Science Center, St. Louis, Missouri, USA.
Pinghua LiThe Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Hainan, Haikou, China.
Cankui ZhangDepartment of Agronomy, Purdue University, West Lafayette, Indiana, USA.
Therese LaRueDepartment of Biology, Skidmore College, Saratoga Springs, New York, USA.
Ying ShaoThe Donald Danforth Plant Science Center, St. Louis, Missouri, USA.
Zehong DingThe Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Hainan, Haikou, China.
Qi SunComputational Biology Service Unit, Life Sciences Core Laboratories Center, Cornell University, Ithaca, New York, USA.
Rohan V PatelDepartment of Cell and Systems Biology/Center for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Ontario, Canada.
Robert TurgeonDepartment of Agronomy, Purdue University, West Lafayette, Indiana, USA.
Xinguang ZhuThe Chinese Academy of Sciences-Max Planck Society Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Nicholas J ProvartDepartment of Cell and Systems Biology/Center for the Analysis of Genome Evolution and Function, University of Toronto, Toronto, Ontario, Canada.
Todd C MocklerThe Donald Danforth Plant Science Center, St. Louis, Missouri, USA.
Alisdair R FernieThe Max Planck Institute for Molecular Plant Physiology, Wissenschaftspark Golm, Potsdam-Golm, Germany.
Mark StittThe Max Planck Institute for Molecular Plant Physiology, Wissenschaftspark Golm, Potsdam-Golm, Germany.
Peng LiuDepartment of Statistics, Iowa State University, Ames, Iowa, USA.
Thomas P Brutnell1] The Donald Danforth Plant Science Center, St. Louis, Missouri, USA. [2] Collaborative Innovation Center of Henan Grain Crops and National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, China.
Donald Danforth Plant Science Center · USMax Planck Institute of Molecular Plant Physiology · DEIowa State University · USChinese Academy of Sciences · CNChinese Academy of Tropical Agricultural Sciences · CNPurdue University West Lafayette · USUniversity of Toronto · CACornell University · USHenan Agricultural University · CNSkidmore College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

C₄ and C₃ photosynthesis differ in the efficiency with which they consume water and nitrogen. Engineering traits of the more efficient C₄ photosynthesis into C₃ crops could substantially increase crop yields in hot, arid conditions. To identify differences between C₄ and C₃ photosynthetic mechanisms, we profiled metabolites and gene expression in the developing leaves of Zea mays (maize), a C₄ plant, and Oryza sativa (rice), a C₃ plant, using a statistical method named the unified developmental model (UDM). Candidate cis-regulatory elements and transcription factors that might regulate photosynthesis were identified, together with differences between C₄ and C₃ nitrogen and carbon metabolism. The UDM algorithms could be applied to analyze and compare development in other species. These data sets together with community viewers to access and mine them provide a resource for photosynthetic research that will inform efforts to engineer improvements in carbon fixation in economically valuable grass crops.

Indexed as

PhotosynthesisGene Expression Regulation, PlantNitrogenOryzaPlant LeavesWaterZea maysNitrogenWater

Identifiers

PMID25306245
OpenAlexW2060124572

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.