Literature DB >> 21652533

Exploiting the engine of C(4) photosynthesis.

Rowan F Sage1, Xin-Guang Zhu.   

Abstract

Ever since the discovery of C(4) photosynthesis in the mid-1960s, plant biologists have envisaged the introduction of the C(4) photosynthetic pathway into C(3) crops such as rice and soybeans. Recent advances in genomics capabilities, and new evolutionary and developmental studies indicate that C(4) engineering will be feasible in the next few decades. Furthermore, better understanding of the function of C(4) photosynthesis provides new ways to improve existing C(4) crops and bioenergy species, for example by creating varieties with ultra-high water and nitrogen use efficiencies. In the case of C(4) engineering, the main enzymes of the C(4) metabolic cycle have already been engineered into various C(3) plants. In contrast, knowledge of the genes controlling Kranz anatomy lags far behind. Combining traditional genetics, high-throughput sequencing technologies, systems biology, bioinformatics, and the use of the new C(4) model species Setaria viridis, the discovery of the key genes controlling the expression of C(4) photosynthesis can be dramatically accelerated. Sustained investment in the research areas directly related to C(4) engineering has the potential for substantial return in the decades to come, primarily by increasing crop production at a time when global food supplies are predicted to fall below world demand.

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Year:  2011        PMID: 21652533     DOI: 10.1093/jxb/err179

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  60 in total

Review 1.  Photosynthetic gene expression in higher plants.

Authors:  James O Berry; Pradeep Yerramsetty; Amy M Zielinski; Christopher M Mure
Journal:  Photosynth Res       Date:  2013-07-10       Impact factor: 3.573

2.  How to make a C4 plant: insight from comparative transcriptome analysis.

Authors:  Nancy A Eckardt
Journal:  Plant Cell       Date:  2011-06-24       Impact factor: 11.277

3.  Genome-Wide Transcription Factor Binding in Leaves from C3 and C4 Grasses.

Authors:  Steven J Burgess; Ivan Reyna-Llorens; Sean R Stevenson; Pallavi Singh; Katja Jaeger; Julian M Hibberd
Journal:  Plant Cell       Date:  2019-08-19       Impact factor: 11.277

4.  Some like it hot: the physiological ecology of C4 plant evolution.

Authors:  Rowan F Sage; Russell K Monson; James R Ehleringer; Shunsuke Adachi; Robert W Pearcy
Journal:  Oecologia       Date:  2018-06-28       Impact factor: 3.225

5.  Comparative transcriptome atlases reveal altered gene expression modules between two Cleomaceae C3 and C4 plant species.

Authors:  Canan Külahoglu; Alisandra K Denton; Manuel Sommer; Janina Maß; Simon Schliesky; Thomas J Wrobel; Barbara Berckmans; Elsa Gongora-Castillo; C Robin Buell; Rüdiger Simon; Lieven De Veylder; Andrea Bräutigam; Andreas P M Weber
Journal:  Plant Cell       Date:  2014-08-08       Impact factor: 11.277

6.  Variable Mesophyll Conductance among Soybean Cultivars Sets a Tradeoff between Photosynthesis and Water-Use-Efficiency.

Authors:  Nicholas J Tomeo; David M Rosenthal
Journal:  Plant Physiol       Date:  2017-03-07       Impact factor: 8.340

Review 7.  Biochemical approaches to C4 photosynthesis evolution studies: the case of malic enzymes decarboxylases.

Authors:  Mariana Saigo; Marcos A Tronconi; Mariel C Gerrard Wheeler; Clarisa E Alvarez; María F Drincovich; Carlos S Andreo
Journal:  Photosynth Res       Date:  2013-07-07       Impact factor: 3.573

8.  Carbon storage potential increases with increasing ratio of C4 to C3 grass cover and soil productivity in restored tallgrass prairies.

Authors:  Brian J Spiesman; Herika Kummel; Randall D Jackson
Journal:  Oecologia       Date:  2017-12-07       Impact factor: 3.225

9.  Elements required for an efficient NADP-malic enzyme type C4 photosynthesis.

Authors:  Yu Wang; Stephen P Long; Xin-Guang Zhu
Journal:  Plant Physiol       Date:  2014-02-12       Impact factor: 8.340

10.  Genome-wide association of carbon and nitrogen metabolism in the maize nested association mapping population.

Authors:  Nengyi Zhang; Yves Gibon; Jason G Wallace; Nicholas Lepak; Pinghua Li; Lauren Dedow; Charles Chen; Yoon-Sup So; Karl Kremling; Peter J Bradbury; Thomas Brutnell; Mark Stitt; Edward S Buckler
Journal:  Plant Physiol       Date:  2015-04-27       Impact factor: 8.340

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