The DOI matches its Crossref record.
TANSLEY REVIEW No. 2: REGULATION OF PH AND GENERATION OF OSMOLARITY IN VASCULAR PLANTS: A COST‐BENEFIT ANALYSIS IN RELATION TO EFFICIENCY OF USE OF ENERGY, NITROGEN AND WATER
Open accessAbstract
Summary: The benefits which this paper addresses are those of maintaining the intracellular acid‐base balance during growth, and of generating osmolarity related to regulation of turgor in environments of low water potential. These benefits may incur costs in terms of the quantity of potentially growth‐limiting resources (photons, water, nitrogen) which are needed to produce unit quantity of ‘baseline’ plant biomass. The direction (excess H+or excess OH−) and magnitude of acid–base perturbation during growth depends on the nature of the N‐source (NH 4+, N 2 or NO 3−), so that the costing of pH homoiostasis involves consideration of the costs of overall N‐assimilation for comparison with the other costs of growth of a terrestrial C 3 plant. Photon costs for the various biochemical and transport processes involved in overall growth, N‐assimilation, pH regulation and osmolarity generation are computed using known stoichiometries of coupled reactions. Water costs are deduced from the C‐requirements for the various processes (including C lost in associated decarboxylations) by assuming a constant value of water lost in transpiration per unit net C fixed in an illuminated shoot. Nitrogen costs are deduced from the N‐content of the plants or compounds under consideration. The computed costs for N‐assimilation and the generation of osmolarity are referred to the costs of ‘baseline’ plant synthesis using the cheapest mechanisms (NH 4+as source for N‐assimilation; inorganic ions as the basis for osmolarity generation) so that the increment of cost related to assimilation of N 2 or NO 3−, or of osmolarity generation using an organic compatible solute, can be presented. Photon costs of growth with N 2 fixation and the processes associated with regulation of pH are (granted the assumptions made as to stoichiometries and plant composition) 9 % higher than are those of growth with NH 4+as N˜ source. The predicted cost of growth with NO 3−as N source depends on the location of NO 3−reduction and the mechanism of OH−disposal, and ranges from 5 to 12% more than that for growth with NH 4+as N source. H 2 O (transpiration) costs follow a similar pattern, with growth on N 2 as N source costing 12% more, and growth on NO 3−costing to 1–2 to 167 % more, than growth with NH 4+as N source. The extra costs in photons of using compatible solutes (sorbitol, proline or glycine betaine) to generate an osmolarity of 500 osmol m−3 in all of the non‐apoplastic water of the plant add 21·5 to 26·1 % to the total costs of growth, while use of compatible solutes to generate osmolarity in ‘N’ phases (i.e. cytosol, plastid stroma, mitochondrial matrix) alone would add 5·2 to 6·2% The costs of growth in terms of transpirational water are increased 7·9 to 98 % by the use of compatible solutes for osmolarity generation in the ‘N’ phases only. The increments for the N‐containing solutes are higher when NO 3−is the N‐source rather than NH 4+. The N‐cost of growth with N‐containing compatible solutes generating 500 osmol m−3 in ‘N’ phases increases the N cost of growth by 33%. These predicted costs are under‐estimates of ‘real’ costs which take into account the occurrence of alternate oxidase activity under some growth conditions and the production of additional organic acid anions with N 2 as opposed to NH 4+as N source. Nevertheless, the predicted minimum costs of attaining the benefits of pH regulation and of turgor generation are of use in suggesting where selectively significant (i.e. low requirement for a scarce resource) alternative mechanisms may occur. Examples include a possible photon saving by using NH 4+rather than N 2 or NO 3−where all three are available; a possible water saving by use of photoreduction of NO 3−in leaves in arid environments; and a possible N saving by use of non‐N‐containing compatible solutes (polyols) in environments of low water potential. Proof of these suggestions involves comparisons of inclusive fitness of genotypes possessing the trait under consideration with that of genotypes lacking the trait. C ONTENTSSummary26I.Introduction27II.pH Regulation and Osmolarity Generation27III.Photon Costs of Various Syntheses Related to pH Regulation and Osmolarity Generation31IV.Conclusions on Energy Costs of pH Regulation During Nitrogen Assimilation and Growth56V.Conclusions on Energy Costs of Osmolarity Generation60VI.Water Costs of pH Regulation and Nitrogen Assimilation61VII.Water Costs of Osmolarity Generation67VIII.Nitrogen Costs of Osmolarity Generation69IX.Conclusions70Acknowledgements72References73
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Mechanisms of Salinity Tolerance
Munns, R., & Tester, M. (2008) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.59.032607.092911 · Cited by 13,792
Nitrate or ammonium: Influences of nitrogen source on the physiology of a green alga
Lachmann, S. C., Mettler‐Altmann, T., Wacker, A., & Spijkerman, E. (2019) · Ecology and Evolution · doi:10.1002/ece3.4790 · Cited by 96
Non-Skeletal Biomineralization by Eukaryotes: Matters of Moment and Gravity
Raven, J. A., & Knoll, A. H. (2010) · Geomicrobiology Journal · doi:10.1080/01490451003702990 · Cited by 59
Self-citation
Metadata
- Authors
- RAVEN, J. A.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 1985-09
- Volume
- 101
- Issue
- 1
- Pages
- 25-77
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W2154658100
- Cited by
- 414
- References
- 0
- FWCI
- 16.71
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: TANSLEY REVIEW No. 2: REGULATION OF PH AND GENERATION OF OSMOLARITY IN VASCULAR PLANTS: A COST‐BENEFIT ANALYSIS IN RELATION TO EFFICIENCY OF USE OF ENERGY, NITROGEN AND WATER. https://app.cochat.ai/papers/10.1111/j.1469-8137.1985.tb02816.x
- The paper
- RAVEN, J. A. (1985). TANSLEY REVIEW No. 2: REGULATION OF PH AND GENERATION OF OSMOLARITY IN VASCULAR PLANTS: A COST‐BENEFIT ANALYSIS IN RELATION TO EFFICIENCY OF USE OF ENERGY, NITROGEN AND WATER. New Phytologist. https://doi.org/10.1111/j.1469-8137.1985.tb02816.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.