Response to Tcherkez and Farquhar: Rubisco adaptation is more limited by phylogenetic constraint than by catalytic trade-off
Open accessPublished version of a preprint
Abstract
Rubisco is the primary entry point for carbon into the biosphere. It has been widely proposed that rubisco is highly constrained by catalytic trade-offs due to correlations between the enzyme's kinetic traits across species. In previous work, we have shown that the strength of these correlations, and thus the strength of catalytic trade-offs, have been overestimated due to the presence of phylogenetic signal in the kinetic trait data (Bouvier et al., 2021). We demonstrated that only the trade-offs between the Michaelis constant for CO 2 and carboxylase turnover, and between the Michaelis constants for CO 2 and O 2 were robust to phylogenetic effects. We further demonstrated that phylogenetic constraints have limited rubisco adaptation to a greater extent than the combined action of catalytic trade-offs. Recently, however, our claims have been contested by Tcherkez and Farquhar (2021), who have argued that the phylogenetic signal we detect in rubisco kinetic traits is an artefact of species sampling, the use of rbcL-based trees for phylogenetic inference, laboratory-to-laboratory variability in kinetic measurements, and homoplasy of the C 4 trait. In the present article, we respond to these criticisms on a point-by-point basis and conclusively show that all are unfounded. As such, we stand by our original conclusions. Namely, although rubisco kinetic evolution has been limited by biochemical trade-offs, these are not absolute and have been previously overestimated due to phylogenetic biases. Instead, rubisco adaptation has in fact been more limited by phylogenetic constraint.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The problem of species not being independent can be exacerbated by additional levels of non-independence, including genes within genomes and genomes of the same or closely related species.
“In genomic datasets, data points can correspond to genomes or even individual genes, meaning the problem of species not being independent can be exacerbated by additional levels of non-independence, including genes within genomes, such as those carried on the same replicon, and genomes of the same or closely related species16,19,21–26.”
From A phylogenetic approach to comparative genomics (2025) · cites this paper as [25]
The Introduction and the section headed “Phylogenetic non-independence” say that shared ancestry makes species-level observations non-independent. Our copy does not address the additional dependence claimed for genes within a genome, genes on the same replicon, or multiple genomes from the same species. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe problem of non-independence can be exacerbated when examining genomes or genes.
“This problem of non-independence can be exacerbated when examining genomes or genes.”
From A phylogenetic approach to comparative genomics (2025) · cites this paper as [25]
The Introduction (page unavailable) says shared ancestry makes biological data points non-independent and suggests that cellular or molecular datasets may be affected by phylogenetic signal. It does not say the problem is exacerbated when examining genomes or genes, or compare its severity with other kinds of data. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Phylogenies and the Comparative Method
Felsenstein, J. (1985) · The American Naturalist · doi:10.1086/284325 · Cited by 9,793 · see citing works
Flagged first, then by citations
Research works printed but not linked: 77
- Aigner, H., Wilson, R.H., Bracher, A., Calisse, L., Bhat, J.Y., Hartl, F.U., Hayer-Hartl, M., 2017. Plant RuBisCo assembly in E. coli with five chloroplast chaperones including BSD2. Science (1979) 358, 1272-1278. https://doi.org/10.1126/science.aap9221 · DOI
- Anselin, L., 1995. Local Indicators of Spatial Association-LISA. Geogr Anal 27, 93-115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x · DOI
- APG, 2016. An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV. Botanical Journal of the Linnean Society 181, 1-20. https://doi.org/10.1111/boj.12385 · DOI
- APG, 1998. An Ordinal Classification for the Families of Flowering Plants [WWW Document]. Annals of the Missouri Botanical Garden. https://doi.org/10.2307/2992015 · DOI
- Badger, M.R., Andrews, T.J., Whitney, S.M., Ludwig, M., Yellowlees, D.C., Leggat, W., Price, G.D., 1998. The diversity and coevolution of Rubisco, plastids, pyrenoids, and chloroplast-based CO2-concentrating mechanisms in algae. Canadian Journal of Botany 76, 1052-1071. https://doi.org/10.1139/b98-074 · DOI
- Balasubramaniam, K.N., Dittmar, K., Berman, C.M., Butovskaya, M., Cooper, M.A., Majolo, B., Ogawa, H., Schino, G., Thierry, B., de Waal, F.B.M., 2012. Hierarchical steepness and phylogenetic models: Phylogenetic signals in Macaca. Anim Behav 83, 1207-1218. https://doi.org/10.1016/j.anbehav.2012.02.012 · DOI
- Bar-Even, A., Noor, E., Savir, Y., Liebermeister, W., Davidi, D., Tawfik, D.S., Milo, R., 2011. The moderately efficient enzyme: Evolutionary and physicochemical trends shaping enzyme parameters. Biochemistry 50, 4402-4410. https://doi.org/10.1021/bi2002289 · DOI · Paper page
- Bathellier, C., Tcherkez, G., Lorimer, G.H., Farquhar, G.D., 2018. Rubisco is not really so bad. Plant Cell Environ. https://doi.org/10.1111/pce.13149 · DOI
- Blomberg, S.P., Garland, T., 2002. Tempo and mode in evolution: Phylogenetic inertia, adaptation and comparative methods. J Evol Biol 15, 899-910. https://doi.org/10.1046/j.1420- 9101.2002.00472.x · DOI
- Blomberg, S.P., Garland, T., Ives, A.R., 2003. Testing for phylogenetic signal in comparative data: Behavioral traits are more labile. Evolution (N Y) 57, 717-745. https://doi.org/10.1111/j.0014- 3820.2003.tb00285.x · DOI · Paper page
- Bohs, L., Olmstead, R.G., 1997. Phylogenetic relationships in Solanum (Solanaceae) based on ndhF sequences. Syst Bot 22, 5-17. https://doi.org/10.2307/2419674 · DOI
- Bouvier, J.W., Emms, D.M., Kelly, S., 2022. Slow molecular evolution of rubisco limits adaptive improvement of CO2 assimilation. bioRxiv.
- Bouvier, J.W., Emms, D.M., Rhodes, T., Bolton, J.S., Brasnett, A., Eddershaw, A., Nielsen, J.R., Unitt, A., Whitney, S.M., Kelly, S., 2021. Rubisco Adaptation Is More Limited by Phylogenetic Constraint Than by Catalytic Trade-off. Mol Biol Evol 38, 2880-2896. https://doi.org/10.1093/molbev/msab079 · DOI · Paper page
- Bowes, G., Ogren, W.L., Hageman, R.H., 1971. Phosphoglycolate production catalyzed by ribulose diphosphate carboxylase, Biochemical and Biophysical Research Communications. https://doi.org/10.1016/0006-291X(71)90475-X · DOI
- Capó-Bauçà, S., Iñiguez, C., Aguiló-Nicolau, P., Galmés, J., 2022. Correlative adaptation between Rubisco and CO2-concentrating mechanisms in seagrasses. Nat Plants 8, 706-716. https://doi.org/10.1038/s41477-022-01171-5 · DOI
- Carmo-Silva, E., Scales, J.C., Madgwick, P.J., Parry, M.A.J., 2015. Optimizing Rubisco and its regulation for greater resource use efficiency. Plant Cell Environ. https://doi.org/10.1111/pce.12425 · DOI
- Chollet, R., 1977. The biochemistry of photorespiration, Trends in Biochemical Sciences. https://doi.org/10.1016/0968-0004(77)90364-4 · DOI
- Cleton-Jansen, A.M., Dekker, S., van de Putte, P., Goosen, N., 1991. A single amino acid substitution changes the substrate specificity of quinoprotein glucose dehydrogenase in Gluconobacter oxydans. MGG Molecular & General Genetics. https://doi.org/10.1007/BF00272157 · DOI
- Cummins, P.L., 2021. The Coevolution of RuBisCO, Photorespiration, and Carbon Concentrating Mechanisms in Higher Plants. Front Plant Sci 12. https://doi.org/10.3389/fpls.2021.662425 · DOI
- Cummins, P.L., Kannappan, B., Gready, J.E., 2019. Response: Commentary: Directions for Optimization of Photosynthetic Carbon Fixation: RuBisCO's Efficiency May Not Be So Constrained After All. Front Plant Sci 10, 1426. https://doi.org/10.3389/fpls.2019.01426 · DOI
- Cummins, P.L., Kannappan, B., Gready, J.E., 2018. Directions for optimization of photosynthetic carbon fixation: Rubisco's efficiency may not be so constrained after all. Front Plant Sci 9. https://doi.org/10.3389/fpls.2018.00183 · DOI
- Duraõ, P., Aigner, H., Nagy, P., Mueller-Cajar, O., Hartl, F.U., Hayer-Hartl, M., 2015. Opposing effects of folding and assembly chaperones on evolvability of Rubisco. Nat Chem Biol 11, 148-155. https://doi.org/10.1038/nchembio.1715 · DOI
- Espadaler, J., Eswar, N., Querol, E., Avilés, F.X., Sali, A., Marti-Renom, M.A., Oliva, B., 2008. Prediction of enzyme function by combining sequence similarity and protein interactions. BMC Bioinformatics 9. https://doi.org/10.1186/1471-2105-9-249 · DOI
- Ferguson, D.M., 1998. Phylogenetic analysis and relationships in hydrophyllaceae based on ndhF sequence data. Syst Bot 23, 253-268. https://doi.org/10.2307/2419504 · DOI
- Field, C.B., Behrenfeld, M.J., Randerson, J.T., Falkowski, P., 1998. Primary production of the biosphere: Integrating terrestrial and oceanic components. Science (1979) 281, 237-240. https://doi.org/10.1126/science.281.5374.237 · DOI · Paper page
- Flamholz, A.I., Prywes, N., Moran, U., Davidi, D., Bar-On, Y.M., Oltrogge, L.M., Alves, R., Savage, D., Milo, R., 2019. Revisiting Trade-offs between Rubisco Kinetic Parameters. Biochemistry. https://doi.org/10.1021/acs.biochem.9b00237 · DOI
- Freckleton, R.P., Harvey, P.H., Pagel, M., 2002. Phylogenetic analysis and comparative data: A test and review of evidence. American Naturalist 160, 712-726. https://doi.org/10.1086/343873 · DOI · Paper page
- Fritz, S.A., Purvis, A., 2010. Selectivity in mammalian extinction risk and threat types: A new measure of phylogenetic signal strength in binary traits. Conservation Biology 24, 1042-1051. https://doi.org/10.1111/j.1523-1739.2010.01455.x · DOI
- Galmés, J., Kapralov, M. v., Andralojc, P.J., Conesa, M.À., Keys, A.J., Parry, M.A.J., Flexas, J., 2014. Expanding knowledge of the Rubisco kinetics variability in plant species: Environmental and evolutionary trends. Plant Cell Environ 37, 1989-2001. https://doi.org/10.1111/pce.12335 · DOI
- Gielly, L., Taberlet, P., 1994. The use of chloroplast DNA to resolve plant phylogenies: Noncoding versus rbcL sequences, Molecular Biology and Evolution. https://doi.org/10.1093/oxfordjournals.molbev.a040157 · DOI
- Gittleman, J.L., Kot, M., 1990. Adaptation: Statistics and a Null Model for Estimating Phylogenetic Effects. Syst Biol 39, 227-241. https://doi.org/10.2307/2992183 · DOI
- Grafen, A., 1989. The phylogenetic regression. Philos Trans R Soc Lond B Biol Sci 326, 119-157. https://doi.org/10.1098/rstb.1989.0106 · DOI · Paper page
- Hansen, T.F., Martins, E.P., 1996. Translating between microevolutionary process and macroevolutionary patterns: The correlation structure of interspecific data. Evolution (N Y) 50, 1404-1417. https://doi.org/10.1111/j.1558-5646.1996.tb03914.x · DOI
- Hilu, K.W., Liang, H., 1997. The matK gene sequence variation and application in plant systematics. Am J Bot 84, 830-839. https://doi.org/10.2307/2445819 · DOI
- Huson, D.H., Scornavacca, C., 2012. Dendroscope 3: An interactive tool for rooted phylogenetic trees and networks. Syst Biol. https://doi.org/10.1093/sysbio/sys062 · DOI
- Iñiguez, C., Capó-Bauçà, S., Niinemets, Ü., Stoll, H., Aguiló-Nicolau, P., Galmés, J., 2020. Evolutionary trends in RuBisCO kinetics and their co-evolution with CO2 concentrating mechanisms. Plant Journal 101, 897-918. https://doi.org/10.1111/tpj.14643 · DOI
- Iñiguez, C., Niinemets, Ü., Mark, K., Galmés, J., 2021. Analyzing the causes of method-to-method variability among Rubisco kinetic traits: From the first to the current measurements. J Exp Bot 72, 7846-7862. https://doi.org/10.1093/jxb/erab356 · DOI
- Johnson, E.T., Ryu, S., Yi, H., Shin, B., Cheong, H., Choi, G., 2001. Alteration of a single amino acid changes the substrate specificity of dihydroflavonol 4-reductase. Plant Journal. https://doi.org/10.1046/j.1365-313X.2001.00962.x · DOI
- Kamilar, J.M., Cooper, N., 2013. Phylogenetic signal in primate behaviour, ecology and life history. Philosophical Transactions of the Royal Society B: Biological Sciences 368. https://doi.org/10.1098/rstb.2012.0341 · DOI
- Kane, H.J., Viil, J., Entsch, B., Paul, K., Morrell, M.K., Andrews, T.J., 1994. An improved method for measuring the CO2/O2 specificity of ribulosebisphosphatte carboxylase-oxygenase. Aust J Plant Physiol 21, 449-461. https://doi.org/10.1071/PP9940449 · DOI
- Katoh, K., Standley, D.M., 2013. MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol Biol Evol. https://doi.org/10.1093/molbev/mst010 · DOI · Paper page
- Kelly, S., 2018. The amount of nitrogen used for photosynthesis modulates molecular evolution in plants. Mol Biol Evol 35, 1616-1625. https://doi.org/10.1093/molbev/msy043 · DOI
- Koch, M., Haubold, B., Mitchell-Olds, T., 2001. Molecular systematics of the brassicaceae: Evidence from coding plastidic matK and nuclear Chs sequences. Am J Bot 88, 534-544. https://doi.org/10.2307/2657117 · DOI
- Kubien, D.S., Whitney, S.M., Moore, P. v., Jesson, L.K., 2008. The biochemistry of Rubisco in Flaveria. J Exp Bot 59, 1767-1777. https://doi.org/10.1093/jxb/erm283 · DOI
- Lindenfors, P., Revell, L.J., Nunn, C.L., 2010. Sexual dimorphism in primate aerobic capacity: A phylogenetic test. J Evol Biol 23, 1183-1194. https://doi.org/10.1111/j.1420- 9101.2010.01983.x · DOI
- Losos, J.B., 2008. Phylogenetic niche conservatism, phylogenetic signal and the relationship between phylogenetic relatedness and ecological similarity among species. Ecol Lett. https://doi.org/10.1111/j.1461-0248.2008.01229.x · DOI
- Lukas, D., Towner, M., Borgerhoff Mulder, M., 2021. The potential to infer the historical pattern of cultural macroevolution. Philosophical Transactions of the Royal Society B: Biological Sciences 376. https://doi.org/10.1098/rstb.2020.0057 · DOI
- Martins, E.P., Hansen, T.F., 1997. Phylogenies and the comparative method: A general approach to incorporating phylogenetic information into the analysis of interspecific data. American Naturalist 149, 646-667. https://doi.org/10.1086/286013 · DOI
- Motani, R., Schmitz, L., 2011. Phylogenetic versus functional signals in the evolution of form- function relationships in terrestrial vision. Evolution (N Y) 65, 2245-2257. https://doi.org/10.1111/j.1558-5646.2011.01271.x · DOI
- Münkemüller, T., Lavergne, S., Bzeznik, B., Dray, S., Jombart, T., Schiffers, K., Thuiller, W., 2012. How to measure and test phylogenetic signal. Methods Ecol Evol 3, 743-756. https://doi.org/10.1111/j.2041-210X.2012.00196.x · DOI
- Nguyen, L.T., Schmidt, H.A., von Haeseler, A., Minh, B.Q., 2015. IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. https://doi.org/10.1093/molbev/msu300 · DOI · Paper page
- Occhialini, A., Lin, M.T., Andralojc, P.J., Hanson, M.R., Parry, M.A.J., 2016. Transgenic tobacco plants with improved cyanobacterial Rubisco expression but no extra assembly factors grow at near wild-type rates if provided with elevated CO2. Plant Journal 85, 148-160. https://doi.org/10.1111/tpj.13098 · DOI
- Orr, D.J., Alcântara, A., Kapralov, M. v., John Andralojc, P., Carmo-Silva, E., Parry, M.A.J., 2016. Surveying rubisco diversity and temperature response to improve crop photosynthetic efficiency. Plant Physiol 172, 707-717. https://doi.org/10.1104/pp.16.00750 · DOI
- Pagel, M., 1999. Inferring the historical patterns of biological evolution. Nature. https://doi.org/10.1038/44766 · DOI · Paper page
- Pagel, M., 1997. Inferring evolutionary processes from phylogenies. Zool Scr 26, 331-348. https://doi.org/10.1111/j.1463-6409.1997.tb00423.x · DOI · Paper page
- Paradis, E., Claude, J., Strimmer, K., 2004. APE: Analyses of phylogenetics and evolution in R language. Bioinformatics 20, 289-290. https://doi.org/10.1093/bioinformatics/btg412 · DOI
- Paradis, E., Schliep, K., 2019. Ape 5.0: An environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics 35, 526-528. https://doi.org/10.1093/bioinformatics/bty633 · DOI
- Parry, M.A.J., Keys, A.J., Gutteridge, S., 1989. Variation in the specificity factor of C3 higher plant rubiscos determined by the total consumption of ribulose-P2. J Exp Bot 40, 317-320. https://doi.org/10.1093/jxb/40.3.317 · DOI
- Petersen, G., Seberg, O., Yde, M., Berthelsen, K., 2006. Phylogenetic relationships of Triticum and Aegilops and evidence for the origin of the A, B, and D genomes of common wheat (Triticum aestivum). Mol Phylogenet Evol 39, 70-82. https://doi.org/10.1016/j.ympev.2006.01.023 · DOI
- Prins, A., Orr, D.J., Andralojc, P.J., Reynolds, M.P., Carmo-Silva, E., Parry, M.A.J., 2016. Rubisco catalytic properties of wild and domesticated relatives provide scope for improving wheat photosynthesis. J Exp Bot 67, 1827-1838. https://doi.org/10.1093/jxb/erv574 · DOI
- Revell, L.J., 2012. phytools: An R package for phylogenetic comparative biology (and other things). Methods Ecol Evol 3, 217-223. https://doi.org/10.1111/j.2041-210X.2011.00169.x · DOI
- Revell, L.J., 2009. Size-correction and principal components for interspecific comparative studies. Evolution (N Y) 63, 3258-3268. https://doi.org/10.1111/j.1558-5646.2009.00804.x · DOI
- Robbins, E.H.J., Kelly, S., 2022. The evolutionary constraints on angiosperm chloroplast adaptation. bioRxiv 2022.07.12.499704.
- Rohlf, F.J., 2001. Comparative methods for the analysis of continuous variables: Geometric interpretations, Evolution. https://doi.org/10.1111/j.0014-3820.2001.tb00731.x · DOI · Paper page
- Savir, Y., Noor, E., Milo, R., Tlusty, T., 2010. Cross-species analysis traces adaptation of Rubisco toward optimality in a low-dimensional landscape. Proc Natl Acad Sci U S A 107, 3475-3480. https://doi.org/10.1073/pnas.0911663107 · DOI
- Savolainen, V., Chase, M.W., Hoot, S.B., Morton, C.M., Soltis, D.E., Bayer, C., Fay, M.F., de Bruijn, A.Y., Sullivan, S., Qiu, Y.L., 2000. Phylogenetics of Flowering Plants Based on Combined Analysis of Plastid atpB and rbcL Gene Sequences. Syst Biol 49, 306-362. https://doi.org/10.1080/10635159950173861 · DOI
- Seward, E.A., Kelly, S., 2018. Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria. Genome Biol 19. https://doi.org/10.1186/s13059-018-1480- 7 · DOI
- Sharkey, T.D., 2020. Emerging research in plant photosynthesis. Emerg Top Life Sci 4, 137-150. https://doi.org/10.1042/ETLS20200035 · DOI
- von Caemmerer, S., Evans, J.R., Hudson, G.S., Andrews, T.J., 1994. The kinetics of ribulose-1,5- bisphosphate carboxylase/oxygenase in vivo inferred from measurements of photosynthesis in leaves of transgenic tobacco. Planta 195, 88-97. https://doi.org/10.1007/BF00206296 · DOI
- Whitney, S.M., Sharwood, R.E., Orr, D., White, S.J., Alonso, H., Galmés, J., 2011. Isoleucine 309 acts as a C 4 catalytic switch that increases ribulose-1,5-bisphosphate carboxylase/oxygenase (rubisco) carboxylation rate in flaveria. Proc Natl Acad Sci U S A 108, 14688-14693. https://doi.org/10.1073/PNAS.1109503108/-/DCSUPPLEMENTAL · DOI
- Wiens, J.J., Kuczynski, C.A., Smith, S.A., Mulcahy, D.G., Sites, J.W., Townsend, T.M., Reeder, T.W., 2008. Branch lengths, support, and congruence: Testing the phylogenomic approach with 20 nuclear loci in snakes. Syst Biol 57, 420-431. https://doi.org/10.1080/10635150802166053 · DOI
- Wilson, R.H., Martin-Avila, E., Conlan, C., Whitney, S.M., 2018. An improved Escherichia coli screen for Rubisco identifies a protein-protein interface that can enhance CO2-fixation kinetics. Journal of Biological Chemistry 293, 18-27. https://doi.org/10.1074/jbc.M117.810861 · DOI
- Wolf, P.G., 1997. Evaluation of atpB nucleotide sequences for phylogenetic studies of ferns and other pteridophytes. Am J Bot 84, 1429-1440. https://doi.org/10.2307/2446141 · DOI
- Wu, E.T.Y., Liu, Y., Jennings, L., Dong, S., Davies, T.J., 2021. Detecting the phylogenetic signal of glacial refugia in a bryodiversity hotspot outside the tropics. Divers Distrib. https://doi.org/10.1111/ddi.13449 · DOI
- Yen, A.C., Olmstead, R.G., 2000. Molecular systematics of Cyperaceae tribe Cariceae based on two chloroplast DNA regions: ndhF and trnL intron-intergenic spacer. Syst Bot 25, 479-494. https://doi.org/10.2307/2666691 · DOI
- Young, J.N., Heureux, A.M.C., Sharwood, R.E., Rickaby, R.E.M., Morel, F.M.M., Whitney, S.M., 2016. Large variation in the Rubisco kinetics of diatoms reveals diversity among their carbon- concentrating mechanisms. J Exp Bot 67, 3445-3456. https://doi.org/10.1093/jxb/erw163 · DOI
- Zhou, Y., Whitney, S., 2019. Directed evolution of an improved Rubisco; in vitro analyses to decipher fact from fiction. Int J Mol Sci 20. https://doi.org/10.3390/ijms20205019 · DOI
Cited by
Sorted by citations
A phylogenetic approach to comparative genomics
Dewar, A. E., Belcher, L. J., & West, S. A. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-024-00803-0 · Cited by 41 · see citing works
- Authors
- Bouvier, J. W., & Kelly, S.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Kelly, Steven
- Venue
- Journal of Plant Physiology
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 287
- Pages
- 154021
- ISSN
- 0176-1617 (ISSN-L)
- OpenAlex
- W4379879550
- Cited by
- 11
- References
- 1
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 3 · 2023: 1
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- green
- dx.doi.org
- Licence
- Locations
- Journal of Plant Physiology (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Royal Society
- Biotechnology and Biological Sciences Research Council (BB/J014427/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Photosynthetic Processes and Mechanisms
- Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- Rubisco, phylogenetic constraints, C4 photosynthesis, homoplasy, rbcL phylogeny
- MeSH terms
- Acclimatization, Carbon Dioxide, Catalysis, Kinetics, Phylogeny, Ribulose-Bisphosphate Carboxylase
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