Literature DB >> 25306245

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

Lin Wang1, Angelika Czedik-Eysenberg2, Rachel A Mertz1, Yaqing Si3, Takayuki Tohge2, Adriano Nunes-Nesi2, Stephanie Arrivault2, Lauren K Dedow1, Douglas W Bryant1, Wen Zhou3, Jiajia Xu4, Sarit Weissmann1, Anthony Studer1, Pinghua Li5, Cankui Zhang6, Therese LaRue7, Ying Shao1, Zehong Ding5, Qi Sun8, Rohan V Patel9, Robert Turgeon6, Xinguang Zhu4, Nicholas J Provart9, Todd C Mockler1, Alisdair R Fernie2, Mark Stitt2, Peng Liu3, Thomas P Brutnell10.   

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.

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Year:  2014        PMID: 25306245     DOI: 10.1038/nbt.3019

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  69 in total

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Journal:  J Exp Bot       Date:  2005-04-04       Impact factor: 6.992

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  83 in total

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Journal:  Plant Physiol       Date:  2015-09-09       Impact factor: 8.340

3.  Carbonic Anhydrase Mutants in Zea mays Have Altered Stomatal Responses to Environmental Signals.

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6.  Comparative transcriptomics method to infer gene coexpression networks and its applications to maize and rice leaf transcriptomes.

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9.  Combined Large-Scale Phenotyping and Transcriptomics in Maize Reveals a Robust Growth Regulatory Network.

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10.  Transcriptome dynamics of developing maize leaves and genomewide prediction of cis elements and their cognate transcription factors.

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