The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Rice with reduced stomatal density conserves water and has improved drought tolerance under future climate conditions
Open accessAbstract
Summary: Much of humanity relies on rice (Oryza sativa) as a food source, but cultivation is water intensive and the crop is vulnerable to drought and high temperatures. Under climate change, periods of reduced water availability and high temperature are expected to become more frequent, leading to detrimental effects on rice yields. We engineered the high‐yielding rice cultivar ‘IR 64’ to produce fewer stomata by manipulating the level of a developmental signal. We overexpressed the rice epidermal patterning factor Os EPF 1, creating plants with substantially reduced stomatal density and correspondingly low stomatal conductance. Low stomatal density rice lines were more able to conserve water, using c. 60% of the normal amount between weeks 4 and 5 post germination. When grown at elevated atmospheric CO2, rice plants with low stomatal density were able to maintain their stomatal conductance and survive drought and high temperature (40°C) for longer than control plants. Low stomatal density rice gave equivalent or even improved yields, despite a reduced rate of photosynthesis in some conditions. Rice plants with fewer stomata are drought tolerant and more conservative in their water use, and they should perform better in the future when climate change is expected to threaten food security.
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
Cites
Food Security: The Challenge of Feeding 9 Billion People
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., Pretty, J., Robinson, S., Thomas, S. M., & Toulmin, C. (2010) · Science · doi:10.1126/science.1185383 · Cited by 11,943
Jalview Version 2—a multiple sequence alignment editor and analysis workbench
Waterhouse, A. M., Procter, J. B., Martin, D. M. A., Clamp, M., & Barton, G. J. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp033 · Cited by 10,235
MUSCLE: a multiple sequence alignment method with reduced time and space complexity
Edgar, R. C. (2004) · BMC Bioinformatics · doi:10.1186/1471-2105-5-113 · Cited by 8,970
Phytozome: a comparative platform for green plant genomics
Goodstein, D. M., Shu, S., Howson, R., Neupane, R., Hayes, R. D., Fazo, J., Mitros, T., Dirks, W., Hellsten, U., Putnam, N., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr944 · Cited by 5,420
(2014) · doi:10.59327/ipcc/ar5-9789291691432 · Cited by 5,217
Irreversible climate change due to carbon dioxide emissions
Solomon, S., Plattner, G.-K., Knutti, R., & Friedlingstein, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812721106 · Cited by 3,217
Hu, H., Dai, M., Yao, J., Xiao, B., Li, X., Zhang, Q., & Xiong, L. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604882103 · Cited by 1,576
Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise
Keenan, T. F., Hollinger, D. Y., Bohrer, G., Dragoni, D., Munger, J. W., Schmid, H. P., & Richardson, A. D. (2013) · Nature · doi:10.1038/nature12291 · Cited by 1,336
Fitting photosynthetic carbon dioxide response curves for C3 leaves
SHARKEY, T. D., BERNACCHI, C. J., FARQUHAR, G. D., & SINGSAAS, E. L. (2007) · Plant, Cell & Environment · doi:10.1111/j.1365-3040.2007.01710.x · Cited by 1,317
Food Security and Food Production Systems
(2015) · Climate Change 2014 Impacts, Adaptation, and Vulnerability · doi:10.1017/cbo9781107415379.012 · Cited by 818
AINSWORTH, E. A. (2008) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01594.x · Cited by 551
The secretory peptide gene EPF1 enforces the stomatal one-cell-spacing rule
Hara, K., Kajita, R., Torii, K. U., Bergmann, D. C., & Kakimoto, T. (2007) · Genes & Development · doi:10.1101/gad.1550707 · Cited by 546
Gourdji, S. M., Sibley, A. M., & Lobell, D. B. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/2/024041 · Cited by 516
Urban, J., Ingwers, M. W., McGuire, M. A., & Teskey, R. O. (2017) · Journal of Experimental Botany · doi:10.1093/jxb/erx052 · Cited by 486
The Signaling Peptide EPF2 Controls Asymmetric Cell Divisions during Stomatal Development
Hunt, L., & Gray, J. E. (2009) · Current Biology · doi:10.1016/j.cub.2009.03.069 · Cited by 435
Self-citationElevated-CO2 Response of Stomata and Its Dependence on Environmental Factors
Xu, Z., Jiang, Y., Jia, B., & Zhou, G. (2016) · Frontiers in Plant Science · doi:10.3389/fpls.2016.00657 · Cited by 421
Reducing Stomatal Density in Barley Improves Drought Tolerance without Impacting on Yield
Hughes, J., Hepworth, C., Dutton, C., Dunn, J. A., Hunt, L., Stephens, J., Waugh, R., Cameron, D. D., & Gray, J. E. (2017) · Plant Physiology · doi:10.1104/pp.16.01844 · Cited by 405
Self-citationHara, K., Yokoo, T., Kajita, R., Onishi, T., Yahata, S., Peterson, K. M., Torii, K. U., & Kakimoto, T. (2009) · Plant and Cell Physiology · doi:10.1093/pcp/pcp068 · Cited by 395
Influence of environmental factors on stomatal development
Casson, S., & Gray, J. E. (2008) · New Phytologist · doi:10.1111/j.1469-8137.2007.02351.x · Cited by 394
Self-citationStomatal closure is induced by hydraulic signals and maintained by ABA in drought-stressed grapevine
Tombesi, S., Nardini, A., Frioni, T., Soccolini, M., Zadra, C., Farinelli, D., Poni, S., & Palliotti, A. (2015) · Scientific Reports · doi:10.1038/srep12449 · Cited by 392
Increasing water‐use efficiency directly through genetic manipulation of stomatal density
Franks, P. J., W. Doheny‐Adams, T., Britton‐Harper, Z. J., & Gray, J. E. (2015) · New Phytologist · doi:10.1111/nph.13347 · Cited by 391
Self-citationHigh temperature exposure increases plant cooling capacity
Crawford, A. J., McLachlan, D. H., Hetherington, A. M., & Franklin, K. A. (2012) · Current Biology · doi:10.1016/j.cub.2012.03.044 · Cited by 369
SNP-Seek database of SNPs derived from 3000 rice genomes
Alexandrov, N., Tai, S., Wang, W., Mansueto, L., Palis, K., Fuentes, R. R., Ulat, V. J., Chebotarov, D., Zhang, G., Li, Z., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1039 · Cited by 364
Rice responses to rising temperatures – challenges, perspectives and future directions
JAGADISH, S. V. K., MURTY, M. V. R., & QUICK, W. P. (2015) · Plant, Cell & Environment · doi:10.1111/pce.12430 · Cited by 360
Self-citationClosing gaps: linking elements that control stomatal movement
Kollist, H., Nuhkat, M., & Roelfsema, M. R. G. (2014) · New Phytologist · doi:10.1111/nph.12832 · Cited by 357
CO2 Sensing and CO2 Regulation of Stomatal Conductance: Advances and Open Questions
Engineer, C. B., Hashimoto-Sugimoto, M., Negi, J., Israelsson-Nordström, M., Azoulay-Shemer, T., Rappel, W.-J., Iba, K., & Schroeder, J. I. (2016) · Trends in Plant Science · doi:10.1016/j.tplants.2015.08.014 · Cited by 356
Franks, P. J., & Farquhar, G. D. (2001) · Plant Physiology · doi:10.1104/pp.125.2.935 · Cited by 333
Competitive binding of antagonistic peptides fine-tunes stomatal patterning
Lee, J. S., Hnilova, M., Maes, M., Lin, Y.-C. L., Putarjunan, A., Han, S.-K., Avila, J., & Torii, K. U. (2015) · Nature · doi:10.1038/nature14561 · Cited by 288
Mobile MUTE specifies subsidiary cells to build physiologically improved grass stomata
Raissig, M. T., Matos, J. L., Anleu Gil, M. X., Kornfeld, A., Bettadapur, A., Abrash, E., Allison, H. R., Badgley, G., Vogel, J. P., Berry, J. A., et al. (2017) · Science · doi:10.1126/science.aal3254 · Cited by 249
CRISPR-Cas9 and CRISPR-Cpf1 mediated targeting of a stomatal developmental gene EPFL9 in rice
Yin, X., Biswal, A. K., Dionora, J., Perdigon, K. M., Balahadia, C. P., Mazumdar, S., Chater, C., Lin, H.-C., Coe, R. A., Kretzschmar, T., et al. (2017) · Plant Cell Reports · doi:10.1007/s00299-017-2118-z · Cited by 228
Self-citationHepworth, C., Doheny‐Adams, T., Hunt, L., Cameron, D. D., & Gray, J. E. (2015) · New Phytologist · doi:10.1111/nph.13598 · Cited by 201
Self-citationLiu, T., Ohashi-Ito, K., & Bergmann, D. C. (2009) · Development · doi:10.1242/dev.032938 · Cited by 200
An integrated model of stomatal development and leaf physiology
Dow, G. J., Bergmann, D. C., & Berry, J. A. (2014) · New Phytologist · doi:10.1111/nph.12608 · Cited by 189
Grasses use an alternatively wired bHLH transcription factor network to establish stomatal identity
Raissig, M. T., Abrash, E., Bettadapur, A., Vogel, J. P., & Bergmann, D. C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606728113 · Cited by 182
Vikram, P., Swamy, B. P. M., Dixit, S., Singh, R., Singh, B. P., Miro, B., Kohli, A., Henry, A., Singh, N. K., & Kumar, A. (2015) · Scientific Reports · doi:10.1038/srep14799 · Cited by 176
Opportunities for improving leaf water use efficiency under climate change conditions
Gago, J., Douthe, C., Florez-Sarasa, I., Escalona, J. M., Galmes, J., Fernie, A. R., Flexas, J., & Medrano, H. (2014) · Plant Science · doi:10.1016/j.plantsci.2014.04.007 · Cited by 169
Developmental studies of cell differentiation in the epidermis of monocotyledons
Stebbins, G. L., & Shah, S. S. (1960) · Developmental Biology · doi:10.1016/0012-1606(60)90050-6 · Cited by 168
Jumrani, K., Bhatia, V. S., & Pandey, G. P. (2016) · Photosynthesis Research · doi:10.1007/s11120-016-0326-y · Cited by 164
Korres, N. E., Norsworthy, J. K., Burgos, N. R., & Oosterhuis, D. M. (2016) · Water Resources and Rural Development · doi:10.1016/j.wrr.2016.10.001 · Cited by 155
Stomatal development: focusing on the grasses
Hepworth, C., Caine, R. S., Harrison, E. L., Sloan, J., & Gray, J. E. (2017) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2017.07.009 · Cited by 132
Self-citationAcclimation of Rice Photosynthesis to Irradiance under Field Conditions
Murchie, E. H., Hubbart, S., Chen, Y., Peng, S., & Horton, P. (2002) · PLANT PHYSIOLOGY · doi:10.1104/pp.011098 · Cited by 126
Self-citationRice in Southeast Asia: facing risks and vulnerabilities to respond to climate change.
Redfern, S., Azzu, N., Binamira, J. S., Meybeck, A., Lankoski, J., Redfern, S., & Gitz, V. (2012) · Cited by 124
Molecular control of stomatal development
Zoulias, N., Harrison, E. L., Casson, S. A., & Gray, J. E. (2018) · Biochemical Journal · doi:10.1042/bcj20170413 · Cited by 116
Self-citation
Cited by
Genetic strategies for improving crop yields
Bailey-Serres, J., Parker, J. E., Ainsworth, E. A., Oldroyd, G. E. D., & Schroeder, J. I. (2019) · Nature · doi:10.1038/s41586-019-1679-0 · Cited by 1,506
Impact of stomatal density and morphology on water-use efficiency in a changing world
Bertolino, L. T., Caine, R. S., & Gray, J. E. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.00225 · Cited by 706
Self-citationA review of plants strategies to resist biotic and abiotic environmental stressors
Nawaz, M., Sun, J., Shabbir, S., Khattak, W. A., Ren, G., Nie, X., Bo, Y., Javed, Q., Du, D., & Sonne, C. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.165832 · Cited by 336
The influence of stomatal morphology and distribution on photosynthetic gas exchange
Harrison, E. L., Arce Cubas, L., Gray, J. E., & Hepworth, C. (2020) · The Plant Journal · doi:10.1111/tpj.14560 · Cited by 292
Self-citationPerspectives on improving photosynthesis to increase crop yield
Croce, R., Carmo-Silva, E., Cho, Y. B., Ermakova, M., Harbinson, J., Lawson, T., McCormick, A. J., Niyogi, K. K., Ort, D. R., Patel-Tupper, D., et al. (2024) · The Plant Cell · doi:10.1093/plcell/koae132 · Cited by 258
Metadata
- Authors
- Caine, R. S., Yin, X., Sloan, J., Harrison, E. L., Mohammed, U., Fulton, T., Biswal, A. K., Dionora, J., Chater, C. C., Coe, R. A., Bandyopadhyay, A., Murchie, E. H., Swarup, R., Quick, W. P., & Gray, J. E.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 2018-07-24
- Volume
- 221
- Issue
- 1
- Pages
- 371-384
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W2883678104
- Cited by
- 561
- References
- 43
- FWCI
- 34.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
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.