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In this opinion article, we challenge the traditional view that breeding for reduced Cl- uptake would benefit plant salinity tolerance. A negative correlation between shoot Cl- concentration and plant biomass does not hold for halophytes - naturally salt tolerant species. We argue that, under physiologically relevant conditions, Cl- uptake requires plants to invest metabolic energy, and that the poor selectivity of Cl--transporting proteins may explain the reported negative correlation between Cl- accumulation and crop salinity tolerance. We propose a new paradigm: salinity tolerance could be achieved by improving the selectivity of some of the broadly selective anion-transporting proteins (e.g., for NO3->Cl-), alongside tight control of Cl- uptake, rather than targeting traits mediating its efflux from the root.
Ca(2+) signalling, Salinity, halophytes, Ca 2+ signalling ; efflux; halophytes; influx; membrane transport proteins; salinity tolerance; Plant Science, Salt-Tolerant Plants, Salt Tolerance, membrane transport proteins, efflux, salinity tolerance, Plant Roots, Chlorides, influx
Ca(2+) signalling, Salinity, halophytes, Ca 2+ signalling ; efflux; halophytes; influx; membrane transport proteins; salinity tolerance; Plant Science, Salt-Tolerant Plants, Salt Tolerance, membrane transport proteins, efflux, salinity tolerance, Plant Roots, Chlorides, influx
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 68 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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