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A roadmap for research on crassulacean acid metabolism (CAM) to enhance sustainable food and bioenergy production in a hotter, drier world.

Authors :
Yang X
Cushman JC
Borland AM
Edwards EJ
Wullschleger SD
Tuskan GA
Owen NA
Griffiths H
Smith JA
De Paoli HC
Weston DJ
Cottingham R
Hartwell J
Davis SC
Silvera K
Ming R
Schlauch K
Abraham P
Stewart JR
Guo HB
Albion R
Ha J
Lim SD
Wone BW
Yim WC
Garcia T
Mayer JA
Petereit J
Nair SS
Casey E
Hettich RL
Ceusters J
Ranjan P
Palla KJ
Yin H
Reyes-García C
Andrade JL
Freschi L
Beltrán JD
Dever LV
Boxall SF
Waller J
Davies J
Bupphada P
Kadu N
Winter K
Sage RF
Aguilar CN
Schmutz J
Jenkins J
Holtum JA
Source :
The New phytologist [New Phytol] 2015 Aug; Vol. 207 (3), pp. 491-504.
Publication Year :
2015

Abstract

Crassulacean acid metabolism (CAM) is a specialized mode of photosynthesis that features nocturnal CO2 uptake, facilitates increased water-use efficiency (WUE), and enables CAM plants to inhabit water-limited environments such as semi-arid deserts or seasonally dry forests. Human population growth and global climate change now present challenges for agricultural production systems to increase food, feed, forage, fiber, and fuel production. One approach to meet these challenges is to increase reliance on CAM crops, such as Agave and Opuntia, for biomass production on semi-arid, abandoned, marginal, or degraded agricultural lands. Major research efforts are now underway to assess the productivity of CAM crop species and to harness the WUE of CAM by engineering this pathway into existing food, feed, and bioenergy crops. An improved understanding of CAM has potential for high returns on research investment. To exploit the potential of CAM crops and CAM bioengineering, it will be necessary to elucidate the evolution, genomic features, and regulatory mechanisms of CAM. Field trials and predictive models will be required to assess the productivity of CAM crops, while new synthetic biology approaches need to be developed for CAM engineering. Infrastructure will be needed for CAM model systems, field trials, mutant collections, and data management.<br /> (© 2015 ORNL/UT-Battelle New Phytologist © 2015 New Phytologist Trust.)

Details

Language :
English
ISSN :
1469-8137
Volume :
207
Issue :
3
Database :
MEDLINE
Journal :
The New phytologist
Publication Type :
Academic Journal
Accession number :
26153373
Full Text :
https://doi.org/10.1111/nph.13393