Literature DB >> 29483685

Computational analysis of the productivity potential of CAM.

Sanu Shameer1, Kambiz Baghalian1, C Y Maurice Cheung2, R George Ratcliffe3, Lee J Sweetlove4.   

Abstract

There is considerable interest in transferring crassulacean acid metabolism (CAM) to C3 crops to improve their water-use efficiency. However, because the CAM biochemical cycle is energetically costly, it is unclear what impact this would have on yield. Using diel flux balance analysis of the CAM and C3 leaf metabolic networks, we show that energy consumption is three-fold higher in CAM at night. However, this additional cost of CAM can be entirely offset by the carbon-concentrating effect of malate decarboxylation behind closed stomata during the day. Depending on the resultant rates of the carboxylase and oxygenase activities of rubisco, the productivity of the PEPCK-CAM subtype is 74-100% of the C3 network. We conclude that CAM does not impose a significant productivity penalty and that engineering CAM into C3 crops is likely to lead to a major increase in water-use efficiency without substantially affecting yield.

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Year:  2018        PMID: 29483685     DOI: 10.1038/s41477-018-0112-2

Source DB:  PubMed          Journal:  Nat Plants        ISSN: 2055-0278            Impact factor:   15.793


  25 in total

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Authors:  Anika Küken; Zoran Nikoloski
Journal:  Plant Physiol       Date:  2019-01-15       Impact factor: 8.340

2.  Leaf Energy Balance Requires Mitochondrial Respiration and Export of Chloroplast NADPH in the Light.

Authors:  Sanu Shameer; R George Ratcliffe; Lee J Sweetlove
Journal:  Plant Physiol       Date:  2019-06-18       Impact factor: 8.340

Review 3.  CAM Models: Lessons and Implications for CAM Evolution.

Authors:  Asdrubal Burgos; Enoc Miranda; Ester Vilaprinyo; Iván David Meza-Canales; Rui Alves
Journal:  Front Plant Sci       Date:  2022-06-23       Impact factor: 6.627

4.  Gene co-expression reveals the modularity and integration of C4 and CAM in Portulaca.

Authors:  Ian S Gilman; Jose J Moreno-Villena; Zachary R Lewis; Eric W Goolsby; Erika J Edwards
Journal:  Plant Physiol       Date:  2022-06-01       Impact factor: 8.005

5.  The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes.

Authors:  Samuel M D Seaver; Filipe Liu; Qizhi Zhang; James Jeffryes; José P Faria; Janaka N Edirisinghe; Michael Mundy; Nicholas Chia; Elad Noor; Moritz E Beber; Aaron A Best; Matthew DeJongh; Jeffrey A Kimbrel; Patrik D'haeseleer; Sean R McCorkle; Jay R Bolton; Erik Pearson; Shane Canon; Elisha M Wood-Charlson; Robert W Cottingham; Adam P Arkin; Christopher S Henry
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

6.  Alternative Crassulacean Acid Metabolism Modes Provide Environment-Specific Water-Saving Benefits in a Leaf Metabolic Model.

Authors:  Nadine Töpfer; Thomas Braam; Sanu Shameer; R George Ratcliffe; Lee J Sweetlove
Journal:  Plant Cell       Date:  2020-10-22       Impact factor: 11.277

7.  Current Challenges in Plant Systems Biology.

Authors:  Danilo de Menezes Daloso; Thomas C R Williams
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

8.  CAM photosynthesis: the acid test.

Authors:  Klaus Winter; J Andrew C Smith
Journal:  New Phytol       Date:  2021-11-05       Impact factor: 10.323

9.  Similarities in the evolution of plants and cars.

Authors:  Samantha Hartzell; Mark Bartlett; Jun Yin; Amilcare Porporato
Journal:  PLoS One       Date:  2018-06-29       Impact factor: 3.240

10.  Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth.

Authors:  Hao Tong; Anika Küken; Zoran Nikoloski
Journal:  Nat Commun       Date:  2020-05-15       Impact factor: 14.919

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