eXtra Botany VIEWPOINT Drought decision-making John S. Boyer* College of Earth, Ocean and Environment (formerly College of Marine Studies), University of Delaware, 700 Pilottown Road, Lewes, DE 19958, USA * To whom correspondence should be addressed. E-mail: [email protected] Journal of Experimental Botany, Vol. 61, No. 13, pp. 3493–3497, 2010 doi:10.1093/jxb/erq231 Advance Access publication 28 July, 2010 Decision-making was a central part of a recent conference in Shanghai entitled Interdrought III. Several papers in this and the previous issue of the Journal of Experimental Botany are the products of the conference, and they deal with what to a casual observer seems to be decision-making by plants. A person watching a drought sees plants failing to flower or trees dropping young fruits. The plants seemingly ‘decide’ which structures will survive and which ones will not. The plant reaction to the deteriorating environment leads to the survival of only a few of the young grains or fruits. The obvious advantage is a more certain presence in the next season when drought may be less severe. Of course, plants do not decide in the usual sense, and instead respond to a changing physiology imposed by the environment, with the result that flowers abort, fruit quality is lower, or grains become smaller. It is increasingly apparent that the basic cause is starvation for photosynthetic products. Photosynthesis is diminished because stomata close as a water-saving feature and leaf biochemistry is altered, and the plant is left respiring without a substrate. In effect, the plant has lost its self-sufficiency and become animal-like, needing to be fed. That this is so can be demonstrated by feeding the plant sucrose. In maize, this photosynthetic product can be fed as a concentrated sugar solution to a small well in the stems, and the plants go on to produce near-normal ears (Zinselmeier et al., 1995a). Grain production is high despite a drought that would otherwise block nearly all production. It is worth exploring the consequences of this ‘decisionmaking’. In agriculture, decreasing the number or size of the young reproductive structures may not be desirable. Most of our harvested products are reproductive; that is, floral structures, seeds, nuts, fleshy fruits, and so on, and plants have no way of predicting the future. To preserve their presence in the next generation, plants must scale their reproduction to the environment of the moment without prospects for future rainfall or irrigation. Grains and fruits stop developing while the parent plant remains alive with substantial dry mass. The plant ‘decides’, and the farmer often harvests less than necessary. It is becoming apparent that global water shortages are getting worse, and governments are being forced to confront the problem. Agriculture, which consumes far more water than any other activity in civilization, has to give up some of it. Decisions are needed about when to apply limited irrigation, or whether to irrigate at all. So it was exciting to see at the conference how human decisionmaking can delay some of the bleaker prospects of water shortages (Steduto et al., 2007; Yang and Zhang, 2010). Also how new methods can manage the crop with less irrigation (Liu et al., 2008; Zhang et al., 2008; Dodd et al., 2009), or identify particularly sensitive phases of development when irrigation is critical (Fereres and Soriano, 2006; Collins et al., 2008). However, underlying all of the advanced methods of breeding and managing for less irrigation was the prospect of dryland agriculture, or doing without irrigation. What genes control the drought response and how do they work? How can roots be made to acquire more water? Can crops be changed to resemble desert plants more closely? The presentations indicated that vast numbers of genes change in expression as drought intensifies (Harris et al., 2007; Rebetzke et al., 2008; Manavalan et al., 2009; Oliver et al., 2009; Wang et al., 2009), and the affected genes differ at different stages of development (Manschadi et al., 2008; Yamaguchi and Sharp, 2009). There are genetic means to incorporate deeper rooting in some crops, thus increasing the potential to acquire additional water from soil (Norton and Price, 2009; Landi et al., 2010). Stomatal behaviour can be modified with mutants overexpressing abscisic acid (ABA) (Tung et al., 2008) or altering ABA receptors (Klingler et al., 2010). Prospects are bright for converting crops from C3 to C4 photosynthetic behaviour (Nelson et al., 2005; Muhaidat et al., 2007), if not yet to desert-like behaviour, and this could lower the amount of water used for a unit of dry matter produced. There also was clear evidence of past progress. For example, failed pollination is a thing of the past in maize because flowering has become more synchronized than in the past (Bolaños and Edmeades, 1996). Overexpression of certain transcription factors appears to allow larger amounts of grain production in maize in dryland conditions (Nelson et al., 2007). Also dryland wheat is increasingly productive as management decisions have become more sophisticated (Passioura and Angus, 2010). It was also clear ª The Author [2010]. Published by Oxford University Press [on behalf of the Society for Experimental Biology]. All rights reserved. For Permissions, please e-mail: [email protected] 3494 | Viewpoint that traditional methods of plant breeding have for many years delivered consistent, incremental improvements in dryland performance of our crops (Jensen and Cavalieri, 1983; Foulkes et al., 2006; Luo, 2010). At the same time, there was a sense of frustration. Drought experiments have always seemed deceptively simple: just withhold water and see what happens. However, drought continually dehydrates the soil, changing the treatment conditions in the middle of the experiment. Plants adapt to these changes to varying degrees, altering the plant. To make matters worse, the shrinking aqueous environment inside the cells can force metabolism to react rather than adapt. The reactions among many genes and enzymes become passive responses having little impact, with important events scattered among them. In effect, plants experiencing drought often seem to be on a slippery slope too multifaceted to alter and too difficult to repeat experimentally. Plant breeders confront these problems without concern for the complexities and simply select better individuals at the end of the season, a recipe that is proven. But are there ways to shorten the recipe? Goals for Interdrought It seems that much progress could be made for future Interdrought conferences if scientific effort could focus on two specific sources of frustration: identifying controlling genes among multigenic responses; and making experiments more repeatable. Deciding to focus on these goals might provide smaller numbers of target genes to modify, and chances to probe genetics and management more deeply than at present. Some of the tools may already be in place. For the first goal, plant breeding and molecular genetics already allow several traits to be combined or ‘stacked’ in crops. Also, one method of deciding which traits to stack is to screen all of them individually for improved drought performance. Such an approach seems to have worked for Monsanto, where screens of hundreds of transcription factors identified previously unsuspected factors conferring improved drought performance in maize (Nelson et al., 2007). However, because hundreds of genes had to be screened, the costs in manpower and capital were enormous and may be beyond the means of many researchers. When gene function is adequately known, though, it may be possible to limit the screens to those genes likely to be relevant. Such an approach was taken by McCourt and Huang and their colleagues (Wang et al., 2005) who enhanced stomatal closure during drought by altering the activity of a regulatory enzyme known to alter stomatal sensitivity to ABA. Characteristic of the Monsanto and McCourt/Huang successes, the initial experiments were in the lab in Arabidopsis but quickly moved to the field in crops for testing in realistic conditions. Another approach to the goal of identifying controlling genes is to reverse the drought phenotype. Using methods such as the sucrose feeding described above, the approach has been termed ‘functional reversion’ and also is less costly than screening hundreds of genes (Boyer and McLaughlin, 2007). The key is to reverse the drought phenotype while the drought is in progress. The controlling genes must be involved in the reversion, and extraneous non-controlling genes are not. In effect, one may identify the few controlling genes among the many irrelevant ones, and this narrows the number of gene targets. However, as with the success of Wang et al. (2005), knowledge of physiological and biochemical processes is necessary. This was well illustrated by Dodd et al. (2009) who reported partial reversion of stomatal behaviour in tomato mutants for ABA grafted to normal roots. Also, for the sucrose feeding example, it became clear that inhibited photosynthesis was a key feature of floral abortion during drought (Westgate and Boyer, 1985), and feeding the products of photosynthesis could thus be predicted to reverse the phenotype (Boyle et al. 1991; Zinselmeier et al., 1995a, 1999). The biochemical consequences of inhibited photosynthesis are particularly striking around the time of pollination, probably because the reproductive events occur rapidly with precise timing. Maize ovaries are normally loaded with glucose and starch on the day of pollination (McLaughlin and Boyer, 2004a, b). However, when the delivery of photosynthetic products is curtailed at low water potentials during drought, enzymes that convert sucrose to glucose lose activity and starch is consumed. Examples of the enzymes are cell wall invertases and soluble invertases (Zinselmeier et al., 1995b, 1999; for a review, see Ruan et al., 2010). Without photosynthetic products, the starch is eventually depleted, and glucose largely disappears from the ovary and supporting structures. Feeding sucrose to the stems in photosynthetic quantities restores the supply of glucose and reverses the enzyme losses, at least partially, which in turn suggests changes in gene expression. Abortion that would have been severe is largely prevented. During this feeding, a sequence of changes in gene expression starts to appear. As shown in Fig. 1A and B, for example, invertase genes are down-regulated by the drought, and sucrose feeding reverses the down-regulation in cell wall invertase 2 but not cell wall invertase 1. The cell wall invertase 2 gene is thus sugar responsive and is monitoring the sugar status of the ovary cells. Cell wall invertase 1 is not sugar responsive, does not monitor cell sugar status, and may be the reason for a lack of full recovery of ovary starch and glucose in the fed plants. A day or two after these events in ovary invertase genes, other genes coding for senescence enzymes are upregulated (Fig. 1C, D). In the maize ovaries, the expression of the ribosome inactivating protein 2 gene is massively upregulated, suggesting the beginning of failed ribosome function. Subsequently, the phospholipase D1 gene is also up-regulated, and plasma membrane integrity begins to be lost, indicating the onset of senescence. Feeding sucrose during the drought largely prevents these changes, indicating that senescence genes are also monitoring the sugar status of the ovary cells. Viewpoint | 3495 Fig. 1. Functional reversion of gene expression in maize ovaries when plants are fed sucrose to the stems. (A) Cell wall invertase 1, (B) cell wall invertase 2, (C) ribosome inactivating protein 2, and (D) phospholipase D1. Open circles, adequately watered controls; filled circles, drought-treated plants with low leaf water potentials of –1.5 MPa on the day of pollination; filled squares, droughttreated plants but with sucrose fed to the stems. The drought caused irreversible abortion of nearly all ovaries, and the feeding prevented most of the abortion. Note that the gene in A fails to respond to sucrose feeding, indicating it is not controlling abortion, while genes in B–D respond to the feeding. Also, the downregulation of genes in A and B occurs before the up-regulation of genes for senescence in C and D. The black bar on the abscissa indicates days that water was withheld while the white bar indicates days that sucrose was fed. From McLaughlin and Boyer (2004b). Thus it seems clear that drought-induced floral abortion is traceable to certain genes attuned to the arrival of photosynthetic products in developing structures. When the products run out, these genes turn on in sequence and eventually orchestrate cell death. This accounts for the irreversible nature of abortion and loss in grain number even if water is re-supplied. Preventing the up-regulation of senescence genes becomes a likely target for genetic improvement because it might allow floral structures to be quiescent rather than aborted. With a return of rainfall, floral development could resume. Preliminary results from ongoing work with wheat at CSIRO in Australia have been encouraging. Wheat requires water potentials to be lower than in maize to lose the same amount of photosynthetic activity. However, just as in maize, starch is depleted in floral structures after the inhibition occurs (Ji et al., 2010). Preliminary experiments indicate that feeding sucrose may reverse the losses. Although more work is needed before the wheat behaviour is certain, the results so far suggest widely occurring biochemical responses that may ultimately be traced to similar genes across crop species. None of these experiments at the gene level would have been possible without the ability to rigorously repeat drought conditions. Specific physiological and biochemical conditions had to be met to allow hypotheses to be built and tested in subsequent experiments. This underscores the need for the second goal for Interdrought; that is, characterizing the drought conditions to make each experiment repeatable. Having reproducible environmental conditions is helpful, whether in the field, controlled environment chamber, or high quality glasshouse. Measurements of plant water status are also helpful to confirm that field conditions are repeated in the laboratory, and to allow others to use the results. In that way, field droughts lasting for months can be compared with those in controlled environments in the laboratory, or compared with results of other workers. Other examples could be given, but the overall message is that withholding water and waiting to see what happens is not enough. The rate of water depletion is too variable and plant responses too complex to be ignored. Several methods of minimizing this problem are available (Boyer, 1995). Perhaps the simplest is to measure plant water potential with a pressure chamber, which is rapid and robust in the lab and field. Thermocouple psychrometry is also useful because of its small sample size and easy measurement of the components of the water potential (e.g. turgor pressure, osmotic potential). The relative water content is another alternative because of its simplicity and frequent use, although it has errors caused by plants adjusting osmotically to drought (Boyer et al., 2008). Another method useful for plant breeding in field conditions is the mean genotypic yield. This gives a useful measure of the environment and plant conditions for the whole season with and without drought, against which individual selections can be compared. The central goal is to characterize the extent of drought so that the experiments can be repeated. In contrast, simply comparing controls with drought treatments in short experiments may not accomplish this goal. Withholding water for, say, 10 days can cause marked inhibition in one climate but not another. Including hydrated controls may help, but they continue to develop while the drought-treated plants may not, creating difficult comparisons. Full-season comparisons may not solve the problem, either, when yields diminish to 90% of the control and are compared with those at 10% of the control. It seems these problems could be largely solved if the water status causing the results were known because a benchmark would be available for repeating the work regardless of yield. In conclusion, decision-making increasingly based on the physiological performance of crops is creating new ways to save water in agriculture. However, water scarcity is increasing, and deeper insights are needed in crop physiology and gene action to cope with diminishing irrigation. Challenges are the inherently multigenic nature of plant responses to drought, and the difficulty of repeating experiments while the treatment and plant conditions are 3496 | Viewpoint continually changing. Research that focuses on overcoming these two challenges may accelerate progress in the future. Acknowledgements Thanks are given to the organizers of Interdrought III for financially supporting the author’s participation in the conference. References Klingler JP, Batelli G, Zhu JK. 2010. ABA receptors: the START of a new paradigm in phytohormone signaling. Journal of Experimental Botany 61, 3199–3210. Landi P, Giuliani S, Salvi S, Ferri M, Tuberosa R, Sanguineti MC. 2010. Characterization of root-yield-1.06, a major constitutive QTL for root and agronomic traits in maize across water regimes. Journal of Experimental Botany 61, 3553–3562. Liu F, Song R, Zhang X, Shahnazari A, Andersen MN, Plauborg F, Jacobsen S-E, Jensen CR. 2008. Measurement and modelling of ABA signalling in potato (Solanum tuberosum L.) during partial root-zone drying. Environmental and Experimental Botany 63, 385–391. Bolaños J, Edmeades GO. 1996. The importance of the anthesis– silking interval in breeding for drought tolerance in tropical maize. Field Crops Research 48, 65–80. Luo L-J. 2010. Breeding for water saving/drought resistance rice (WDR) in China. Journal of Experimental Botany 61, 3509–3517. Boyer JS. 1995. Measuring the water status of plants and soils. San Diego: Academic Press. Manavalan LP, Guttikonda SK, Tran L-SP, Nguyen HT. 2009. Physiological and molecular approaches to improve drought resistance in soybean. Plant and Cell Physiology 50, 1260–1276. Boyer JS, James RA, Munns R, Condon AG, Passioura JB. 2008. Osmotic adjustment leads to anomalously low estimates of relative water content in wheat and barley. Functional Plant Biology 35, 1172– 1182. Boyer JS, McLaughlin JE. 2007. Functional reversion to identify controlling genes in multigenic responses: analysis of floral abortion. Journal of Experimental Botany 58, 267–277. Boyle MG, Boyer JS, Morgan PW. 1991. Stem infusion of liquid culture medium prevents reproductive failure of maize at low water potential. Crop Science 31, 1246–1252. Collins NC, Tardieu F, Tuberosa R. 2008. Quantitative trait loci and crop performance under abiotic stress: where do we stand? Plant Physiology 147, 469–486. Dodd IC, Theobald JC, Richer SK, Davies WJ. 2009. Partial phenotypic reversion of ABA-deficient flacca tomato (Solanum lycopersicum) scions by a wild-type rootstock: normalizing shoot ethylene relations promotes leaf area but does not diminish whole plant transpiration rate. Journal of Experimental Botany 60, 4029– 4039. Fereres E, Soriano MA. 2006. Deficit irrigation for reducing agricultural water use. Journal of Experimental Botany 58, 147–159. Foulkes MJ, Snape JW, Shearman VJ, Reynolds MP, Gaju O, Sylvester-Bradley R. 2006. Genetic progress in yield potential in wheat: recent advances and future prospects. Journal of Agricultural Science 145, 17–29. Harris K, Subudhi PK, Borrell A, Jordan D, Rosenow D, Nguyen H, Klein P, Klein R, Mullet J. 2007. Sorghum stay-green QTL individually reduce post-flowering drought-induced leaf senescence. Journal of Experimental Botany 58, 327–338. Jensen SD, Cavalieri AJ. 1983. Drought tolerance in U.S. maize. In: Stone JF, Willis WO, eds. Plant production and management under drought conditions. Developments in Agricultural and Managed-Forest Ecology, 12. New York: Elsevier Science Publishers, 223–236. Ji X, Shiran B, Wan J, Lewis DC, Jenkins CLD, Condon AG, Richards RA, Dolferus R. 2010. Importance of pre-anthesis anther sink strength for maintenance of grain number during reproductive stage water stress in wheat. Plant, Cell and Environment 33, 926–942. Manschadi AM, Hammer GL, Christopher JT, deVoil P. 2008. Genotypic variation in seedling root architectural traits and implications for drought adaptation in wheat (Triticum aestivum L.). Plant and Soil 303, 115–129. McLaughlin JE, Boyer JS. 2004a. Glucose localization in maize ovaries when kernel number decreases at low water potential and sucrose is fed to the stems. Annals of Botany 94, 75–86. McLaughlin JE, Boyer JS. 2004b. Sugar-responsive gene expression, invertase activity, and senescence in aborting maize ovaries at low water potentials. Annals of Botany 94, 675–689. Muhaidat R, Sage RF, Dengler NG. 2007. Diversity of Kranz anatomy and biochemistry in C4 eudicots. American Journal of Botany 147, 362–381. Nelson DE, Repetti PP, Adams TR, et al. 2007. Plant nuclear factor Y (NF-Y) B subunits confer drought tolerance and lead to improved corn yields on water-limited acres. Proceedings of the National Academy of Sciences, USA 104, 16450–16455. Nelson EA, Sage TL, Sage RF. 2005. Functional leaf anatomy of plants with crassulacean acid metabolism. Functional Plant Biology 32, 409–419. Norton GJ, Price AH. 2009. Mapping of quantitative trait loci for seminal root morphology and gravitropic response in rice. Euphytica 166, 229–237. Oliver MJ, Hudgeons J, Dowd SE, Payton PR. 2009. A combined subtractive suppression hybridization and expression profiling strategy to identify novel desiccation response transcripts from Tortula ruralis gametophytes. Physiologia Plantarum 136, 437–460. Passioura JB, Angus JF. 2010. Improving productivity of crops in water-limited environments. Advances in Agronomy (in press). Rebetzke GJ, Condon AG, Farquhar GD, Appels R, Richards RA. 2008. Quantitative trait loci for carbon isotope discrimination are repeatable across environments and wheat mapping populations. Theoretical and Applied Genetics 118, 123– 137. Ruan Y-L, Jin Y, Yang Y-L, Li G-J, Boyer JS. 2010. Sugar input, metabolism and signaling mediated by invertase: roles in development, Viewpoint | 3497 yield potential and response to drought and heat. Molecular Plant in press. Steduto P, Hsiao TC, Fereres E. 2007. On the conservative behavior of biomass water productivity. Irrigation Science 25, 189–207. Tung SA, Smeeton R, White CA, Black CR, Taylor IB, Hilton HW, Thompson AJ. 2008. Over-expression of LeNCED1 in tomato (Solanum lycopersicum L.) with the rbcS3C promoter allows recovery of lines that accumulate very high levels of abscisic acid and exhibit severe phenotypes. Plant, Cell and Environment 31, 968–981. Yamaguchi M, Sharp RE. 2009. Complexity and coordination of root growth at low water potentials: recent advances from transcriptomic and proteomic analyses. Plant, Cell and Environment 33, 590–603. Yang J, Zhang J. 2010. Crop management techniques to enhance harvest index in rice. Journal of Experimental Botany 61, 3177–3189. Zhang H, Zhang S, Yang J, Zhang J, Wang Z. 2008. Postanthesis moderate wetting drying improves both quality and quantity of rice yield. Agronomy Journal 100, 726–734. Wang J, Chapman SC, Bonnett DG, Rebetzke GJ. 2009. Simultaneous selection of major and minor genes: use of QTL to increase selection efficiency of coleoptile length of wheat (Triticum aestivum L.). Theoretical and Applied Genetics 119, 65–74. Zinselmeier C, Jeong BR, Boyer JS. 1999. Starch and the control of kernel number in maize at low water potentials. Plant Physiology 121, 25–35. Wang Y, Ying J, Kuzma M, et al. 2005. Molecular tailoring of farnesylation for plant drought tolerance and yield protection. The Plant Journal 43, 413–424. Zinselmeier C, Lauer MJ, Boyer JS. 1995a. Reversing droughtinduced losses in grain yield: sucrose maintains embryo growth in maize. Crop Science 35, 1390–1400. Westgate ME, Boyer JS. 1985. Carbohydrate reserves and reproductive development at low leaf water potentials in maize. Crop Science 25, 762–769. Zinselmeier C, Westgate ME, Schussler JR, Jones RJ. 1995b. Low water potential disrupts carbohydrate metabolism in maize (Zea mays L.) ovaries. Plant Physiology 107, 385–391.
© Copyright 2025 Paperzz