Abstract
Enhancing crop water use efficiency (WUE) is a key target trait for climatic resilience and expanding cultivation on marginal lands. Engineering lower stomatal density to reduce stomatal conductance (gs) has improved WUE in multiple C3 crop species. However, reducing gs in C3 species often reduces photosynthetic carbon gain. A different response is expected in C4 plants because they possess specialized anatomy and biochemistry which concentrates CO2 at the site of fixation. This modifies the relationship of photosynthesis (AN) with intracellular CO2 concentration (ci), such that photosynthesis is CO2 saturated and reductions in gs are unlikely to limit AN. To test this hypothesis, genetic strategies were investigated to reduce stomatal density in the C4 crop sorghum. Constitutive expression of a synthetic epidermal patterning factor (EPF) transgenic allele in sorghum led to reduced stomatal densities, reduced gs, reduced plant water use, and avoidance of stress during a period of water deprivation. In addition, moderate reduction in stomatal density did not increase stomatal limitation to AN. However, these positive outcomes were associated with negative pleiotropic effects on reproductive development and photosynthetic capacity. Avoiding pleiotropy by targeting expression of the transgene to specific tissues could provide a pathway to improved agronomic outcomes.
Keywords: C4 photosynthesis, Sorghum bicolor, stomata, water-use efficiency
Stomatal density can be engineered to improve water use efficiency and avoid drought stress without impairing photosynthetic CO2 uptake in a model C4 crop.
Introduction
Water availability is a critical factor limiting crop productivity worldwide (Boyer, 1982). Water use efficiency (WUE) has been recognized as an important trait for crop improvement for over a century (Briggs and Shantz, 1917) because it describes how much productivity can be achieved per unit of water used by the crop. WUE is key to terrestrial plant function because it reflects the inevitable trade-off between losing water vapour from leaves to the atmosphere, while stomata are open, to allow photosynthetic CO2 uptake. Climate change is impacting precipitation patterns and vapour pressure deficit, which in turn impact water availability and demand in cropping systems (Chiang et al., 2021; Sadok et al., 2021). In silico modelling that incorporates historical yields and projected environmental conditions suggests that drought events will continue to be a key driver of yield losses in the future (Webber et al., 2018). Water supplies for irrigation are limited and unsustainable (WWAP, 2015). Demand is increasing for agricultural products from marginal lands (Gelfand et al., 2013; Khanna et al., 2021). Consequently, there is renewed focus on whether crop productivity, sustainability, and resilience can be enhanced through improvements to WUE (Bailey-Serres et al., 2019; Hatfield and Dold, 2019; Leakey et al., 2019; Sales et al., 2021).
Intrinsic WUE (iWUE) is defined as the ratio of the rate of net photosynthetic CO2 assimilation (AN) relative to stomatal conductance (gs). Improving iWUE can be achieved by increasing AN without a matching increase in gs, or by decreasing gs without a matching decrease in AN. However, many studies of natural and engineered genetic variation within a broad diversity of plant species have shown AN and gs to be correlated (Leakey et al., 2019; Deans et al., 2020). Consistent with this expectation, in C3 species, theory and experimentation have shown that a decrease in stomatal density drives lower gs and improves iWUE, but often at the cost of lower AN (Wang et al., 2016; Hughes et al., 2017; Caine et al., 2019; Dunn et al., 2019; Mohammed et al., 2019). So, de-coupling of AN and gs in transgenic plants is rare and, when it is achieved, iWUE is often reduced rather than increased (Flexas et al., 2013).
Meanwhile, crop genotypes selected by breeders for greater iWUE have often been found to be innately less productive, as part of a generally conservative growth syndrome (Condon et al., 2004). Although successes have resulted from screening stable carbon isotopes as a proxy to select for high iWUE in C3 species (Rebetzke et al., 2006), scepticism remains about the potential for meaningful improvement of WUE without a concomitant hit on yield (Condon et al., 2004; Blum, 2005; Sinclair, 2012).
Recent innovations have emerged that open the door for improving WUE and productivity in C4 crops through lower gs via a reduction in stomatal density. These include novel high-throughput phenotyping tools to capture stomatal density and WUE traits that are accelerating the speed and scale of experimentation (Ferguson et al., 2021; Pignon et al., 2021; Xie et al., 2021). Importantly, unlike C3 crops, C4 feedstocks possess a carbon-concentrating mechanism that increases [CO2] in the bundle sheath cells where the primary photosynthetic enzyme Rubisco is located, resulting in concentrations significantly greater than atmospheric [CO2] (von Caemmerer and Furbank, 2003). Consequently, the relationship between AN and intercellular [CO2] (ci) features a much steeper initial slope and a sharper inflection point than that observed in C3 species (Leakey et al., 2009). Atmospheric [CO2] has risen from 370 ppm in 2000 to 417 ppm in 2023 (https://gml.noaa.gov/ccgg/trends/). As a result, the ci at which photosynthesis operates in C4 crops is very close to saturation, which raises it above the A/ci curve inflection point (Leakey et al., 2006; Ghannoum, 2008; Markelz et al., 2011). This means that more CO2 is entering the leaf than is required to maintain AN and, theoretically, gs could be reduced to increase iWUE with little (<2%) to no increase in the stomatal limitation to AN (SL: Leakey et al., 2019). The magnitude of reductions in stomatal density needed to achieve an optimal gs is unknown, but too large a reduction in stomatal density would lower ci to the point that it would fall below the inflection point on the A/ci curve, where SL becomes substantial (Leakey et al., 2019). Mechanistic crop modelling suggests that a genetic strategy that translates to a reduction in gs by 20% would significantly increase yields of a C4 feedstock, such as sorghum, with the greatest gains occurring in marginal land locations where yields are currently low (Leakey et al., 2019). Overexpression of STOMATAL DENSITY AND DISTRIBUTION 1 (SDD1) in maize provided evidence in support of this approach, driving reduced stomatal density and gs, without a decrease in AN (Liu et al., 2015). However, pleiotropy was observed, with the low stomatal density plants also having greater photosynthetic capacity than the wild type (WT). The consequences of overexpressing SDD1 for development, productivity, and WUE at the whole-plant scale were not reported.
Whole-plant transpiration rates regulate passive nitrogen (N) uptake from the soil (Niu et al., 2007; Matsunami et al., 2010; Kunrath et al., 2020). Therefore, a potential drawback of a genetic strategy to improve WUE via a reduction in gs is that N flux in the transpiration stream might be reduced, which in turn would negatively impact photosynthetic capacity and productivity. A significant fraction of leaf N is invested in photosynthetic proteins, with C4 species allocating less N to Rubisco than C3 species, but more N to other soluble proteins and thylakoid components (Ghannoum et al., 2011). However, with ectopic expression of EPIDERMAL PATTERNING FACTOR 1 (EPF1) in the C3 species wheat, barley, and rice, photosynthetic capacity was reported not to decline (Hughes et al., 2017; Caine et al., 2019; Dunn et al., 2019).
Testing the proposed approach to developing C4 crops with greater WUE is aided by the discovery of a network of genes that regulate leaf epidermal cell fate and, thereby, stomatal density in C3 species, because their C4 orthologues can be used as initial candidate genes for testing (McKown and Bergmann, 2020). Most studies that have manipulated stomatal density in C3 species have achieved this by overexpressing the native form of EPF1, a negative regulator of stomatal development (Harrison et al., 2020), or down-regulating EPIDERMAL PATTERNING FACTOR-LIKE 9 (EPFL9 or stomagen), a positive regulator of stomatal development (Karavolias et al., 2023). The EPF family of secreted signalling peptides function within the epidermal cell layer to regulate stomatal patterning (Hara et al., 2007; Hunt and Gray, 2009). Various EPF fusions swapping the loop and scaffold regions of EPF2 and EPFL9 in Arabidopsis demonstrated that the loop region confers the functional specificity of EPFs (Ohki et al., 2011). EPF peptides trigger a mitogen-activated protein (MAP) kinase signalling pathway that regulates the stability of SPEECHLESS (SPCH). SPCH is a basic helix–loop–helix (bHLH) transcription factor that contributes to the determination of cell division and fate transitions (Lau et al., 2014). MAP kinases phosphorylate and destabilize SPCH, preventing the initiation of stomatal lineage cells; consequently, overexpressing EPF genes negatively regulates stomatal density via a decrease in SPCH protein levels (Kumari et al., 2014). Recent evidence from C3 monocotyledonous species, such as barley, rice, and wheat, suggests that despite substantial differences in leaf expansion and stomatal development, native grass EPFs act in a similar way to the EPFs of the dicotyledonous model Arabidopsis, regulating entry to and progression through the stomatal cell lineage (Hughes et al., 2017; Caine et al., 2019; Dunn et al., 2019; Mohammed et al., 2019). On the other hand, the role of other regulators of stomatal and leaf development are not always strictly conserved across species, and few stomatal development genes have been tested in C4 species (Liu et al., 2009; Raissig et al., 2016; Schuler et al., 2018; Hughes and Langdale, 2022).
Sorghum has a high WUE and is well adapted to xeric environments (Rooney, 2014). It is an important model C4 species, with significant contributions to the bioeconomy as a feedstock for food, feed, and industrial applications (Paterson et al., 2009; Morris et al., 2013; Castro et al., 2015). Various models have shown that in high-yielding environments, a reduced water use trait can protect yield during soil moisture deficits (Sinclair et al., 2005; Truong et al., 2017).
This study tested two genetic designs to reduce stomatal density in sorghum, to address the knowledge gap about how engineering reduced stomatal density would impact photosynthetic physiology and whole-plant function in a C4 species. In the first design, the native sorghum EPF1 (SbEPF1) was constitutively expressed under control of the sugarcane ubiquitin4 (Ubi4) promoter (Wei et al., 2003). In the second design, a fusion element was synthesized that combined elements of the sorghum orthologues of AtEPF2 and AtEPFL9 (SbEPFsyn) and was placed under control of the Ubi4 promoter. Comparing sorghum events with reduced stomatal density versus WT controls addressed whether reduced stomatal density: (i) can drive reductions in gs without significantly increasing SL; (ii) drives pleiotropic effects on leaf physiology or plant development; (iii) produces leaf-level reductions in gs that scale to reduced whole-plant water use; and (iv) alters whole-plant biomass production.
Materials and methods
Assembly of binary vectors
The leucine-rich repeat, receptor-like kinase ERECTA corresponding interacting partner EPF1 is a negative regulator of stomatal development in Arabidopsis (Hara et al., 2007). An ectopic expression cassette was designed to misexpress EPF1 in sorghum, and was designated pPTN1337. The ORF of the sorghum homologue of AtEPF1 (NM_127657), Sobic006G233600.1/SbiTx43006G248600.1, was synthesized (GeneScript, USA), which incorporated the gene model’s 5'- and 3'-untranslated region (UTR) elements. The synthesized ORF with its corresponding UTRs was subcloned between the sugarcane Ubi4 promoter (Wei et al., 2003) and the 3' UTR of cauliflower mosaic virus 35S transcript (T35S). The derived expression cassette was subsequently cloned into the binary vector of pPZP212 (Hajdukiewicz et al., 1994) and the resultant vector was designated pPTN1337 (Supplementary Fig. S1A).
A second vector was designed for the expression of a fusion peptide that comprises a domain from STOMAGEN (EPFL9; Hunt et al., 2010; Kondo et al., 2010) and EPF2 (Hara et al., 2009). This fusion consists of amino acid residues 26–219 from the sorghum homologue of AtEPF2 (NM_103147), Sobic006G104400.1/SbiTx43006G109800.1, that resides downstream of residues 24–37 of the sorghum homologue of STOMAGEN (AtNP_193033.1), Sobic003G299800.1/SbiTx43003G4311400.1. The fusion element is imbedded within the 5' and 3' UTRs of the sorghum EPF2 gene model (Supplementary Fig. S2). This element was synthesized (GenScript, USA) and subsequently subcloned between the sugarcane Ubi4 promoter and T35S terminator. The expression cassette was then cloned into pPZP212 (Hajdukiewicz et al., 1994) and the derived binary vector was designated pPTN1338 (Supplementary Fig. S3A).
The derived binary vectors were introduced into Agrobacterium tumefaciens strain NTL4/pTiKPSF2 (Luo et al., 2001), and the resultant transconjugants were used to transform the grain sorghum genotype Tx430 as previously described (Howe et al., 2006; Guo et al., 2015).
Initial genotyping and phenotyping of transgenic events
Progeny derived from selfed lineages of the obtained transgenic events were (i) assessed for the presence of the plant selectable marker allele via an neomycin phosphotransferase II (NPTII) ELISA according to the manufacturer’s instructions (Agdia Inc., Elkhart, IN, USA) and (ii) phenotyped for changes in stomatal density by optical tomography (Xie et al., 2021; see below for details). Phenotyping was performed on 15 independent, positive events of SbEPF1 and eight independent, positive transgenic events of SbEPFsyn. Of these, two independent events carrying the SbEPFsyn allele with significantly reduced stomatal density were selected for further characterization (Fig. 1A).
Fig. 1.
Phenotypic screen of transgenic plants. Abaxial stomatal density of independent transgenic events of sorghum (A) ubiquitously expressing the sorghum orthologue of EPIDERMAL PATTERNING FACTOR-1 (SbEPF1) and (B) ubiquitously expressing a fusion element synthesized from elements of the sorghum orthologues of EPIDERMAL PATTERNING FACTOR-2 (EPF2) and EPIDERMAL PATTERNING FACTOR-LIKE 9 (EPFL9) (SbEPFsyn). The events that displayed significantly different stomatal densities compared with the wild type (WT), according to a post-hoc Tukey test following a one-way ANOVA, are denoted by red asterisks. The independent events of SbEPFsyn that were carried forward for further investigation are highlighted in bold and underlined (ZG602-5-12b and ZG600-6-13a).
The subset of the transgenic events, including the two SbEPFsyn events, were characterized by both Southern blot and RNA gel blot analyses as previously described (Howe et al., 2006; Mall et al., 2011). Here, total genomic DNA was digested with EcoRI for Southern blot analysis (pPTN1338 events), and the membranes for both northern and Southern hybridizations were probed with a 32P-labelled 719 bp element that carried a region of the fusion ORF of pPTN1338 (Supplementary Fig. S3B, C). For the RNA gel blot analysis conducted on a set of pPTN1337 events (Supplementary Fig. S1B), the membrane was hybridized with an ~570 bp region of the SbEPF1 ORF spanning into the 3' UTR.
Experimental design for detailed evaluation of SbEPFsyn
Plants were planted, grown, and phenotyped within the greenhouse facility at the University of Illinois at Urbana-Champaign (latitude 40.11°, longitude –88.21°). The greenhouse conditions were set to a 16 h photoperiod (07.00–23.00 h) with supplementary light provided by high pressure sodium and metal halide growth lamps. The target day/night temperature was set to 28/21 °C.
WT (Tx430) and T2 transgenic lineages were sown directly into trays of 4 cm deep cells filled with Sunshine™ organic germinating mix (SunGro, Agawam, MA, USA). At the three-leaf stage, the presence of the transgene was verified in the manner described previously. Additionally, T-DNA copy number analysis of NPTII was performed relative to a known single-copy sorghum gene amplicon by iDNA genetics (Norwich, UK), which confirmed the homozygosity of the transgenic allele in the respective progeny lineages going forward.
Ten replicate plants from both the WT and the two independent events of SbEPFsyn (ZG602-5-12b and ZG602-6-13a) were transplanted into 17.5 litre pots containing a known mass of Sunshine Mix #4 professional growing mix (SunGro, Agawam, MA, USA). The mass of each pot and of the soil within each pot was recorded to allow later calculation of the volumetric relative soil water content (% rSWC), as previously described (Ferguson et al., 2018). Apart from 9 d mid-growing cycle when water was withheld to perform a ‘dry-down’ experiment (details below), plants were kept well watered and supplemented with liquid Nature’s Source 3-1-1 NPK fertilizer (Ball DPF LLC, Sherman, TX, USA) bi-weekly. To avoid potential spatial bias, the positions of the pots were randomized within blocks of the greenhouse space every 3 d across the full duration of the study, as well as every day during the ‘dry-down’ portion of the study.
Phenotypic sample and data collection occurred in three phases. First, at the sixth leaf stage, the three most recently fully expanded leaves (i.e. leaves four, five, and six) were assessed for stomatal density. At that time, light-saturated rates of leaf photosynthetic gas exchange, photosynthetic capacity, N content, and specific leaf area (SLA) were also measured on the youngest, fully expanded leaf. Second, at the ninth leaf stage, a ‘dry-down’ experiment was performed by withholding water for 9 d from the plants of each genotype. Two days prior to withholding water, whole-plant leaf area was assessed. During the ‘dry-down’ experiment, whole-plant water use and photosynthetic leaf gas exchange were measured daily. Lastly, at plant maturity, above-ground biomass production was determined.
Leaf gas exchange measurements
When leaf six had just fully expanded, the response of net photosynthetic CO2 assimilation (AN) to the concentration of leaf intercellular CO2 (ci) was measured using a LI-COR 6800 infrared gas exchange system equipped with a standard 6 cm2 cuvette (LI-COR Inc., Lincoln, NE, USA). Data collection occurred between 08.00 h and 15.00, just prior to harvesting tissue from the same leaves for the other leaf physiological traits. Environmental conditions were set at: 27 °C, 65% relative humidity, 1800 μmol m–2 s–1 photosynthetic photon flux density (PPFD), 400 µmol mol–1 CO2 concentration, and 400 µmol s–1 flow rate. After full photosynthetic induction was established, AN, gs, and ci were recorded as the leaf was exposed to a series of stepwise changes in sample CO2 concentrations of: 400, 200, 50, 150, 300, 400, 500, 600, 700, 800, and 1200 µmol mol–1. A custom R function was used for modelling AN–ci response curves following (von Caemmerer, 2000) to estimate the maximum rate of carboxylation by phosphoenolpyruvate carboxylase (PEPC; Vpmax) and the asymptote of the AN–ci curve (Vmax), as described previously (Markelz et al., 2011).
During each day of the water withdrawal experiment, AN and gs were measured between 08.30 h and 13.00 h on the youngest fully expanded leaf. Measurements were performed using LI-6400 gas exchange systems (LI-COR Inc.) equipped with a 2 cm×3 cm LED cuvette, and conditions in the gas exchange cuvette were as described for the AN–ci response measurements.
Leaf stomatal density, specific leaf area, and nitrogen content
A Nanofocus µsurf explorer optical topometer (Nanofocus, Oberhausen, Germany) was used to assess stomatal patterning, as described previously (Haus et al., 2015; Ferguson et al., 2021). When leaf six had just fully expanded, four fields of view (800 × 800 µm each in size) arranged in a transect between the mid-rib and margin at a position midway along the length of leaves four, five, and six were scanned at ×20 magnification on both the abaxial and adaxial surfaces. 3D reconstructions were converted to 2D grey-scale images for analysis. Stomatal density was determined using the cell counter feature in ImageJ (Abràmoff et al., 2006). In addition, four samples per genotype from leaf six were re-scanned at ×50 magnification on the abaxial surface. Six stomatal complexes were then randomly selected to measure their widths and lengths from the most extreme points in ImageJ (Abràmoff et al., 2006). These trait values were then averaged for each sample.
At the same time, leaf discs were sampled from the sixth leaf for estimation of SLA and tissue N content, as described previously (Markelz et al., 2011).
Whole-plant water use
To estimate water consumption during the ‘dry-down’ experiment, plants were soaked to ~100% rSWC and subsequently not watered for 9 d. Each pot was weighed daily during this period. These data were used to calculate rSWC whilst accounting for pot weight at the start of the experiment, and plant mass measured on three replicates harvested on the day that water withholding started.
Above-ground biomass production
Two days prior to the water withdrawal period, whole-plant leaf area was determined as the sum of the width multiplied by the length of every leaf. This non-destructive estimation of leaf area is highly correlated to conventional measurements of leaf area in maize (Pearce et al., 1975).
At full maturity, plants from both watering treatments were harvested just above the soil level and dried at 60 °C for 2 weeks before being weighed.
Statistical analyses
To test for overall phenotypic differences from the WT in both the initial screening of all transgenic events and the subsequent detailed evaluation of events ZG602-5-12b and ZG602-6-13a for SbEPF2syn under well-watered conditions, a one-way ANOVA comparison of means test was performed. To then determine which events were significantly different from the the WT, a post-hoc Tukey test was performed.
To test for differences in genotype effects on stomatal density between leaf positions (i.e. leaf four, five, or six), and to test for differences in genotype effects on above-ground biomass between watering treatments (i.e. fully watered at all times versus plants that experienced the ‘dry-down’ treatment), two-way fully factorial ANOVA tests were performed. To test for differences between the two transgenic lines, a specific contrast test was used for a given leaf surface across the three leaf positions.
To determine genotypic differences in the response of rSWC, gs, and AN to declining water availability, two-way fully factorial ANOVA tests were performed where time was treated as a repeated measure. Post-hoc Tukey tests were subsequently performed to ascertain on which days and between which genotypes significant differences occurred.
All ANOVA tests were performed using the base lm() function in R. Where multiple subsamples were measured within a replicate plant (i.e. stomatal density from multiple fields of view per leaf), an average was calculated for the replicate plant and this was the input for all statistical tests. Least-squares means and SEs for all groups from each test were computed using the lsmeans() function from the lsmeans R package (Lenth, 2016). The least-square means and SEs are reported in the associated bar and line plots. Post-hoc Tukey tests were performed using the HSD.test() function from the agricolae R package (de Mendiburu and Simon, 2015, Preprint). All figures were produced using the ggplot2 R package (Wickham, 2009) with post-processing in Affinity Designer (Serif, Nottingham, UK).
Results
Peptide alignments of Arabidopsis and sorghum epidermal patterning factors SbEPF1, SbEPF2, and SbEPF9
Global alignments of the sorghum gene models that encode the epidermal patterning factors, EPF1, EPF2, and EPF9, with their corresponding Arabidopsis homologues reveal varying degrees of homology at the protein level. The sorghum and Arabidopsis EPFL9 peptides share ~47% identity with 66% similarity (Supplementary Fig. S4), with the highest degree of identity at the C-terminal regionand core motif of the protein. An alignment of the sorghum and Arabidopsis EPF1 peptides displays ~25% identity, with 31% similarity, with the highest degree of relationship also at the C-terminal region of the peptide (Supplementary Fig. S5). The respective EPF2 proteins show 28% identity and 41% similarity, and, like the other epidermal patterning factors, the shared alignments occur at the C-terminal region of the peptide (Supplementary Fig. S6).
Phenotypic and molecular screens of SbEPF1 and SbEPFsyn
Eight of the 15 independent events of SbEPF1 had significantly reduced abaxial stomatal density compared with the WT. However, in all except one case (NN547-3-2-1, –26% relative to the WT) the reductions in stomatal density were very modest (–8% to –15%; Fig. 1). By contrast, five of the eight EPFsyn events had significantly lower stomatal density than the WT, and all five had much greater reductions in stomatal density (–34% to –71%; Fig. 1). Two independent events (ZG602-5-12b and ZG600-6-13a), each carrying a single homozygous copy of the transgene and with similar reductions in stomatal density compared with the WT (–43% and –45%), were selected for further investigation at the T2 stage. These lines are referred to as ‘12b’ and ‘13a’.
Stomatal patterning and light-saturated leaf gas exchange of EPFsyn
In both lines of EPFsyn, stomatal density was confirmed to be significantly lower than in the WT on both the abaxial (P<0.001) and adaxial leaf surfaces (P<0.001) of fully expanded leaves at positions four, five, and six on the main culm (Fig. 2). On average across the leaf positions, stomatal density of line 12b was significantly lower than that of line 13a for both the adaxial (P=0.002) and abaxial leaf surface (P=0.002). The average reduction in stomatal density was greater on the adaxial surface (–61% in line 12b, –36% in line 13a) than on the abaxial surface (–43% in line 12b, –30% in line 13a), and this effect was consistent across leaf positions. All genotypes had significantly greater stomatal density on the abaxial versus adaxial leaf surface. Stomatal complex size was significantly greater in line 12b (P<0.05) and trended towards being larger in line 13a (Supplementary Table S1).
Fig. 2.
Stomatal patterning phenotype of engineered plants. Representative micrographs of the abaxial leaf surface of: (A) the wild type (WT), (B) SbEPFsyn line ZG602-5-12b (12b), and (C) SbEPFsyn line ZG600-6-13a (13a), along with the associated (D) abaxial stomatal density and (E) adaxial stomatal density at three leaf positions on the main culm (three, four, and five) for each genotype. Bars represent least square means of stomatal density for each grouping, where the errors bar represent the associated SEs. For the abaxial and the adaxial surface, the P-values from each term in a two-way ANOVA with an interaction term are inset.
Steady-state, light-saturated gs was significantly lower in EPFsyn compared with the WT, with line 12b showing a stronger effect (–32%, P<0.01) than line 13a (–18%, P<0.05; Fig. 3A). In line 12b, the stronger reduction in gs was accompanied by a reduction in AN compared with the WT (–22%, P<0.01; Fig. 3B). For both lines of EPFsyn, the reduction in gs led the ratio of AN to gs (i.e. iWUE) to be significantly greater than for the WT (20% for line 12b, 13% for line 13a; P<0.01; Fig. 3C).
Fig. 3.
Leaf gas exchange of engineered plants. Light-saturated (A) stomatal conductance (gs), (B) net photosynthetic assimilation of CO2 (AN), and (C) intrinsic water-use efficiency (iWUE) of the sixth leaf on the culm when it was the youngest fully expanded leaf of the wild type (WT), SbEPFsyn line ZG602-5-12b (12b), and SbEPFsyn line ZG600-6-13a (13a). Bars represent least square means, and error bars represent associated SEs. Significant differences between genotypes are denoted as *P>0.05, ** P>0.01, or *** P>0.001.
The observed changes in light-saturated gas exchange of EPFsyn versus the WT were the result of changes in both stomatal and mesophyll limitations to photosynthesis. As expected, SL was low (0.04; Fig. 4A) in the WT, and was unchanged in line 13a (0.04; Fig. 4C). This corresponded to the operating point of photosynthesis (blue dot) remaining above the inflection point on the A/ci curve when gs was more moderately reduced in line 13a compared with the WT. In line 12b, with its stronger reduction in stomatal density, SL was greater (0.08; Fig. 4B) than in the WT and the operating point of photosynthesis was at the inflection point on the A/ci curve. EPFsyn plants of both lines had lower photosynthetic capacity than the WT as a result of significantly reduced apparent capacity for carboxylation by PEPC (Vpmax; –32% in line 12b, –21% in line 13a, P<0.01; Fig. 4D) and also a marginally significant reduction in the combined apparent capacity for carboxylation by Rubisco and PEP regeneration by pyruvate orthophosphate dikinase (PPDK; Vmax) in line 12b (–20%, P=0.11; Fig. 4E). There were no significant differences between EPFsyn lines and the WT in SLA (P=0.25; Fig. 4F) or leaf N concentration (P=0.26; Fig. 4F).
Fig. 4.
Photosynthetic capacity of engineered plants. Fitted average photosynthetic/CO2 response (A/ci) curves of (A) the wild type (WT), (B) SbEPFsyn line ZG602-5-12b (12b), and (C) SbEPFsyn line ZG600-6-13a (13a), along with (D) the apparent maximum rate of carboxylation by PEPC (Vpmax), (A) the asymptote of the A/ci curve (Vmax), (F) specific leaf area (SLA), and (G) leaf nitrogen (N) content of the sixth leaf on the culm when it was the youngest fully expanded leaf. For A/ci curves, the mean fit is represented by the solid line and the SE is denoted by the shaded area. The stomatal limitation to AN at ambient [CO2] (SL) is reported for each treatment. The operating point of photosynthesis at ambient [CO2] is shown as a blue dot on the A/ci curve. Bars represent least square means, and error bars represent associated SEs. The P-values from associated one-way ANOVA tests are inset. Where a significant effect was detected, the differences between the transgenic lines and the WT according to post-hoc testing is shown.
Interactions between leaf gas exchange, whole-plant water use, and drought stress
The rSWC was significantly greater in pots of both EPFsyn lines compared with the WT as early as day 2 of the dry-down experiment (Fig. 5A). This water saving increased in magnitude until day 6, at which point WT plants had almost exhausted the available soil water and their rate of soil drying slowed dramatically. Since initial rates of soil drying were 30–34% lower in EPFsyn lines compared with the WT, they were sustained for longer before water supply became limiting, only displaying a slight reduction in the rate of water use on day 9, at which point pot soil moisture was almost exhausted for EPFsyn lines and the WT (Fig. 5A). Considering the potential influence of plant size on rates of water use, a trend towards lower total leaf area (7–12%) in the EPFsyn lines compared with the WT was observed at the beginning of the dry-down experiment, but the effect was not statistically significant (P=0.60; Supplementary Fig. S7).
Fig. 5.
Water use and leaf gas exchange of engineered plants during a dry-down period. The response of (A) percentage relative soil water content, (B) stomatal conductance (gs), and (C) net photosynthetic assimilation of CO2 (AN) to a 9 d water withdrawal period for wild-type (WT), SbEPFsyn line ZG602-5-12b (12b), and SbEPFsyn line ZG600-6-13a (13a) sorghum. Points and errors bars represent least square means and SEs, respectively. P-values associated with repeated measure ANOVAs are inset. Days where transgenic events ZG602-5-12b (12b) and ZG600-6-13a (13a) were significantly different from the WT for all traits are indicated by red asterisks. The statistical results of pairwise tests between each transgenic line and the WT for a specific contrast of average gs and AN on the first 5 d of the experiment is shown by the inset bracket.
During the first 5 d of the dry-down experiment, when high rates of water use were sustained in all pots, gs was 17% and 24% lower in the EPFsyn lines compared with the WT (P<0.05; Fig. 5B). This was accompanied by more modest average reductions in AN in line 12b (–10%, P=0.07) and line 13a (–14%, P<0.05) (Fig. 5C). On day 6, a large and rapid decline in AN and gs occurred in the WT, while leaf gas exchange declined much more slowly in the EPFsyn lines (Fig. 5B, C). As a result, gs and AN were substantially greater for the EPFsyn lines compared with the WT from day 6 through day 8 (Fig. 5B, C). The difference in drought stress experienced by the plants was visually apparent, with the WT being significantly wilted at the end of the ‘dry-down’ experiment while the EPFsyn lines retained full turgor (Fig. 6A).
Fig. 6.
Whole-plant phenotypic characters of engineered plants. (A) Photographs of representative plants of wild-type (WT), SbEPFsyn line ZG602-5-12b (12b), and SbEPFsyn line ZG600-6-13a (13a) plants on day 8 of the water withdrawal period. (B) Total dried above-ground biomass of all genotypes grown under water-replete conditions or subjected to the water withdrawal period. Bars represent least square means, and error bars represent associated SEs. P-values associated with each term from an associated two-way ANOVA are inset.
The short period of drought stress relative to the overall growing period did not significantly alter biomass production (P=0.65; Fig. 6B). Across both watering regimes, both EPFsyn lines had slightly shorter internode lengths and overall heights (Fig. 6A); there was no significant difference among the genotypes in total dry, above-ground biomass at maturity (P=0.35; Fig. 6B). A pleiotropic response of impaired panicle and flower development was consistently observed in the EPFsyn lines, resulting in significantly reduced seed production (Fig. 7). Occasionally, some leaves of EPFsyn lines, but not of the WT, would exhibit a chlorotic strip that was 2–4 cm in width and contained almost no fully developed stomata (Supplementary Fig. S8).
Fig. 7.
Photographs of representative panicles from wild-type sorghum (WT) and sorghum ubiquitously expressing a fusion element synthesized from elements of the sorghum orthologues of EPIDERMAL PATTERNING FACTOR-2 (EPF2) and EPIDERMAL PATTERNING FACTOR-LIKE 9 (EPFL9) (SbEPFsyn).
Discussion
This study contributes to our understanding of how engineered reductions in stomatal density impact leaf and whole-plant WUE in a model C4 species, sorghum, an important feedstock for the bioeconomy (Silva et al., 2022). Ectopic expression of EPF1 has been shown to significantly reduce stomatal density and increase iWUE in a number of C3 species (Hughes et al., 2017; Dunn et al., 2019; Mohammed et al., 2019). In sorghum, however, ectopic expression of EPF1 resulted in slight reductions in stomatal density (<15%) in all but one transformation event (Fig. 1). By contrast, ubiquitous expression of EPFsyn resulted in reductions of 34–71% in stomatal density relative to the WT (Fig. 1). Hence, deeper phenotypic characterizations were performed on events carrying the SbEPF2syn transgenic allele to address the experimental objectives. Detailed evaluations of leaf gas exchange in two SbEPF2syn events revealed improvements in iWUE compared with the WT, while highlighting the importance of achieving an intermediate reduction in stomatal density to lower gs while still maintaining low SL (Figs 3, 4). Engineered gains in iWUE drove reductions in whole-plant water use without causing a loss in above-ground biomass production (Figs 5, 6). In addition, the study revealed the potential for pleiotropic effects on a number of developmental processes when engineering changes in stomatal development by ubiquitous expression of this SbEPF2syn allele (Figs 4, 7). These observations provide a framework for future research to genetically enhance C4 plants in a manner that achieves the improvement in iWUE without an increase in SL, while avoiding unwanted pleiotropic effects on developmental processes other than stomatal patterning. Achieving this goal is a high priority because water limitation is so important to global crop productivity, especially in regions where agricultural production is vulnerable to climate variability, and because improving WUE is such a valuable, if challenging, target for crop improvement (Condon et al., 2004; Blum, 2005; Leakey et al., 2019).
Balancing reductions in gs with maintenance of stomatal limitation to AN
Analysis of A/ci curves can be used to quantify SL, which describes how much lower the observed AN is compared with a theoretical AN where there is no resistance for CO2 entry into the leaf; that is, ci equals the atmospheric [CO2] (Farquhar and Sharkey, 1982; Long and Bernacchi, 2003). The magnitude of changes in stomatal patterning and function in SbEPFsyn event 13a achieved the desired balance of reducing water loss through stomata without restricting CO2 entry to the leaf in a manner that limited photosynthesis. When comparing the light-saturated leaf gas exchange of line 13a with that of the WT, reduced stomatal density (–45%) was associated with lower gs (–18%) and greater iWUE (+13%; Figs 2, 3). This outcome resulted: (i) from WT sorghum having low SL (0.04; Fig. 4A), as expected for a C4 crop under contemporary [CO2] of >410 ppm (Leakey et al., 2019); and (ii) SL remained unchanged in line 13a (0.04). In other words, AN was not reduced when lower stomatal density and gs limited diffusion of CO2 into the leaf because the photosynthetic operating point remained above the inflection point of the A/ci curve (Figs 3, 4C). By contrast, SbEPF2syn event 12b had a slightly stronger phenotype, where a greater reduction in stomatal density (–69%) and gs (–32%) resulted in greater stomatal limitation to AN (0.08) than in the WT (0.04; Figs 3, 4B). This resulted from the operating point of photosynthesis being at a lower ci, on the inflection point of the A/ci curve, and contributed to AN of event 12b being lower (–22%) than in the WT (Fig. 4B). These results validate the prediction, based on a leaf gas exchange model, that reducing gs to an intermediate degree can enhance iWUE with very little to no penalty to carbon gain (Leakey et al., 2019). It is important to emphasize that the steep inflection point of the C4A/ci curve means that improving iWUE without a negative trade-off on photosynthetic carbon gain in sorghum, maize, sugarcane, miscanthus, and other C4 grasses will depend on precisely tuning the reduction in stomatal density to achieve greater iWUE without gs and AN. Under the growth conditions used here, the optimal reduction in stomatal density lay somewhere between the stomatal phenotypes observed in SbEPF2syn events 12b and 13a. As future atmospheric [CO2] continues to rise, progressively greater reductions in stomatal density will be needed to maintain the photosynthetic operating point at the optimal location just above the asymptote of the A/ci curve.
The results of this study suggest further effort should be applied to enhance WUE in C4 crops by reducing stomatal conductance. While this study provides initial proof-of-concept for achieving that goal by reducing stomatal density, approaches to reduce stomatal complex size and/or the dynamic control of stomatal aperture by guard cells are also exciting possibilities for which the foundation is being laid (Des Marais et al., 2014; Nunes et al., 2023). There are also interactions between stomatal density and stomatal size that generally influence attempts to engineer greater iWUE, but are generally poorly understood (Lunn et al., 2024; Supplementary Table S1). Being able to avoid an increase in SL while increasing iWUE in a C4 species is a result distinct from what is expected and often observed in C3 species (Leakey et al., 2019). In C3 crops, the lack of a photosynthetic carbon-concentrating mechanism means that the A/ci curve is less steep, and photosynthesis is not expected to be CO2 saturated today or later this century (Leakey et al., 2006). Consequently, a modest loss in photosynthetic carbon gain under well-watered conditions results from engineering lower gs to achieve enhanced iWUE (e.g. Yoo et al., 2010; Franks et al., 2015; Hughes et al., 2017; Caine et al., 2019). However, crop modelling suggests that this is a cost that is likely to be worthwhile for C3 crops growing in regions that are consistently water limited (Leakey et al., 2019). Meanwhile, the possibility of avoiding the negative trade-off between water savings and carbon gain may allow low gs/high WUE C4 crops to enhance productivity across a wide range of growing conditions from consistently water-limited to only occasionally water-limited environments (Leakey et al., 2019). However, as described below, significant challenges remain to be addressed to meet that goal.
Pleiotropic effects on photosynthetic capacity from ubiquitous expression of SbEPFsyn
In addition to the effects of gs, SL can be influenced by changes in photosynthetic capacity that alter the shape of the A/ci curve (Markelz et al., 2011). Both SbEPFsyn events had lower apparent photosynthetic capacity than the WT (Fig. 4). This produced a shallower A/ci curve, shifted the inflection point to greater ci, and increased SL (0.08) relative to the WT (0.04). Together these responses explain the lower light-saturated AN in event 12b compared with the WT (Fig. 4). In event 13a, the pleiotropic effects of SbEPFsyn on photosynthetic capacity were more moderate than in event 12b and had no consequences for AN.
Photosynthetic capacity, including the activity of PEPC, is strongly correlated to leaf N content in sorghum (Khan et al., 2020). Moreover, in sorghum, maize, and rice, transpiration facilitates passive N flux, with consequences for leaf N content (Niu et al., 2007; Matsunami et al., 2010; Kunrath et al., 2020). Therefore, it has been hypothesized that reducing transpiration to improve WUE might reduce N uptake and leaf N content (Hepworth et al., 2015). However, leaf N content per unit leaf area was not significantly different between SbEPFsyn and the WT (Fig. 4G), indicating that some other mechanism must underlie the observed variation in Vpmax. Changes in photosynthetic capacity have been observed in some other studies where expression of native stomatal patterning genes have been modified (Franks et al., 2015; Liu et al., 2015; Caine et al., 2019; Dunn et al., 2019). Additionally, wheat events ectopically expressing EPF1 had lower leaf porosity alongside reductions in stomatal density and stomatal conductance (Lundgren et al., 2019). Further experimentation will be needed to determine the mechanisms underpinning changes in biochemical and anatomical limitation to photosynthetic capacity when engineering altered stomatal patterning.
Pleiotropic effects of ubiquitously expressing SbEPFsyn on plant development
A significant off-target impact of ubiquitously expressing SbEPFsyn was impaired reproductive development (Fig. 7). EPF2 peptides are known to bind and regulate ERECTA to govern the division of protodermal cells into either pavement cells or stomatal complexes (Zoulias et al., 2018). ERECTA-family receptor kinases coordinate stem cell functions between the epidermal and internal layers of the shoot apical meristem, and they are demonstrated to regulate floral patterning, fertility, and organ identity in addition to stomatal patterning in Arabidopsis (Shpak et al., 2003; Cai et al., 2017; Kimura et al., 2018). So, it is possible that the ubiquitous expression of SbEPFsyn may have perturbed equivalent pathways in sorghum, leading to impaired panicle and flower development (Fig. 7). If so, enhancing iWUE in sorghum while avoiding pleiotropic effects on photosynthetic capacity and seed production might be achieved by the use of tissue-specific promoters that can limit expression of EPFsyn to the epidermis during early phases of leaf development.
Whole-plant biomass production, water use, and drought avoidance
The overall biomass production of SbEPFsyn plants was equivalent to that of the WT (Fig. 6). As described above, this appears to have been due to the pleiotropic effects of expressing SbEPFsyn being focused on developmental processes, and under conditions of ample water supply the anatomical consequences had mild (event 12b) to no effect (event13a) on photosynthetic carbon gain.
Total plant water use is a function of both the rate of water use per unit leaf area and the total leaf area of the plant. The rate of water use by the two SbEPFsyn events was –30% and –34% lower than in the WT (Fig. 5A). Most of the water savings can be attributed to the reduction in gs, which averaged –20% and –23% lower in the two SbEPFsyn events compared with the WT, when averaged across all the dates of measurement on which water supply was not limiting (Fig. 5B). However, it seems likely that the –5% and –10% changes in total plant leaf area of the SbEPFsyn events compared with the WT also contributed to lower rates of water use, even if they were not resolved as statistically significant (Supplementary Fig. S7).
When water supply was withheld in the dry-down experiment, differences in rates of water use meant that SbEPFsyn plants took 9 d to exhaust the water supply in their pots versus 6 d for the WT (Fig. 5A). When the water supply ran out for WT plants, it triggered a substantial and rapid drop in gs and AN (Fig. 5B, C). It is noteworthy that gs and AN declined gradually between day 6 and day 9 in the SbEPFsyn events, compared with very abruptly decreasing between day 5 and day 6 in the WT (Fig. 5B, C). This is consistent with the interpretation of the A/ci curve data described above, namely under mild, initial drought stress the photosynthetic operating point of SbEPFsyn plants required less of a drop in gs and ci to sit at or below the inflection point of the A/ci curve, leading to a modest loss of carbon gain. Nevertheless, these experimental results support the notion that a low stomatal density, low gs, high iWUE strategy in a C4 crop results in greater carbon gain over the dry-down period as a whole, which may enhance photosynthetic carbon gain and biomass production in locations where water supply limits productivity (Leakey et al., 2019). It is important to note that drought stress generally develops more rapidly and severely in pot experiments than under field conditions. For example, dry-down of the large soil volume at field locations in the Central USA can take weeks rather than a few days to develop (Leakey et al., 2004; Markelz et al., 2011; sorghum drought). In addition, the dynamics of dry-down and re-wetting cause plant drought stress events to vary with soil type and climatic conditions. So, field trials and crop modelling will be needed to quantify the optimal phenotype of weak versus strong reductions in stomatal density and gs across a range of growing conditions.
Conservation of EPF function across C3 and C4 lineages
Overexpression of the native EPF1 genes in barley, rice, and wheat achieves significant reductions in stomatal densities that are like those or greater than those achieved via AtEPF1 overexpression in Arabidopsis—52% average reduction in barley across two events, 45% average reduction in rice across three events, and 70% average reduction in wheat across two events (Hughes et al., 2017; Caine et al., 2019; Dunn et al., 2019). By comparison, the minor impact of ubiquitously expressing the native EPF1 on stomatal density in sorghum suggests that functional divergence or redundancy has occurred in sorghum and possibly other C4 grasses. The hallmark Kranz anatomy in C4 grasses is distinct from the leaf structure of C3 grasses, highlighting the possibility for the evolution of functional redundancy and/or novel function acquisition across these lineages. Phylogenetic divergence in stomatal characteristics between C3 and C4 grasses has been observed to mirror the evolution of the C4 photosynthetic pathway and local adaption (Taylor et al., 2012; Lundgren et al., 2014). Our results regarding SbEPF1 highlight the need to elucidate the genetic networks that underpin stomatal development in C4 grasses to understand how they differ between C3 dicots and grasses.
Conclusion
In summary, this study provides support for prediction from modelling studies that engineering to reduce stomatal conductance can improve iWUE and act to lower plant water use without reducing biomass accumulation of a model C4 crop. However, it also highlights: (i) the potential for pleiotropic effects on a range of developmental processes when a mobile signalling peptide is expressed ubiquitously; and (ii) the currently limited understanding of the genetic basis for stomatal development in C4 grasses. These knowledge gaps will need to be addressed and more sophisticated engineering strategies and/or additional genes targeted to retain the desirable stomatal phenotypes observed here without the negative consequences of pleiotropic effects on the agronomics of the crop.
Supplementary data
The following supplementary data are available at JXB online.
Fig. S1. Design of the binary vector and molecular characterization of transgenic plants expressing SbEPF1.
Fig. S2. Diagrammatic representation of the translational product of the fusion peptide expression cassette of SbEPFL9/SbEPF2 present in the binary vector pPTN1138.
Fig. S3. Design of the binary vector and molecular characterization of transgenic plants expressing synthetic EPF.
Fig. S4. The global alignment of SbEPFL9and AtEPFL9.
Fig. S5. The global alignment of SbEPF1and AtEPF1.
Fig. S6. The global alignment of SbEPF2and AtEPF2.
Fig. S7. Total leaf surface area of the wild type (WT), ZG602-5-12b, and ZG600-6-13a.
Fig. S8. Photographs of representative plants featuring the occasionally observed phenotype of a short white band on a mature leaf.
Table S1. Mean stomatal complex width and length of the wild type, ZG602-5-12b, and ZG600-6-13a.
Acknowledgements
We thank Mike Masters for assistance with elemental analysis. We thank the UIUC Plant Biology and Crop Sciences greenhouse staff for support.
Contributor Information
John N Ferguson, Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Peter Schmuker, Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Anna Dmitrieva, Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Truyen Quach, Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.
Tieling Zhang, Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.
Zhengxiang Ge, Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.
Natalya Nersesian, Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.
Shirley J Sato, Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.
Tom E Clemente, Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.
Andrew D B Leakey, Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; Department of Plant Biology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Martha Ludwig, University of Western Australia, Australia.
Author contributions
ADBL and TEC: conceptualization and funding acquisition; ADBL, JNF, and TEC: study design; JNF, PS, AD, TQ, TZ, ZG, NN, and SJS: performed the experiments and data collection; JNF: data processing and analysis; JNF, TEC, and ADBL: contributed to data interpretation and discussion, and wrote the original draft of the manuscript. All authors have revised and approved the final manuscript.
Conflict of interest
The authors have no conflicts of interest to declare.
Funding
This work was funded by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy [award number DE-DE-AR0000661] and by the DOE Center for Advanced Bioenergy and Bioproducts Innovation, U.S. Department of Energy, Office of Science, Biological and Environmental Research Program [award number DE-SC0018420].
Data availability
Primary data for this manuscript are available at: https://doi.org/10.13012/B2IDB-4017279_V1.
References
- Abràmoff MD, Magalhães PJ, Ram SJ.. 2006. Image processing with ImageJ. In: Cox G, ed. Optical imaging techniques in cell biology. Boca Raton, FL: CRC Press, 249–258. [Google Scholar]
- Bailey-Serres J, Parker JE, Ainsworth EA, Oldroyd GED, Schroeder JI.. 2019. Genetic strategies for improving crop yields. Nature 575, 109–118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blum A. 2005. Drought resistance, water-use efficiency, and yield potential—are they compatible, dissonant, or mutually exclusive? Australian Journal of Agricultural Research 56, 1159–1168. [Google Scholar]
- Boyer JS. 1982. Plant productivity and environment. Science 218, 443–448. [DOI] [PubMed] [Google Scholar]
- Briggs L, Shantz H.. 1917. The water requirement of plants as influenced by environment. In: Proceedings of the Second Pan-American Science Congress. Washington DC, 95–107. [Google Scholar]
- Cai H, Zhao L, Wang L, Zhang M, Su Z, Cheng Y, Zhao H, Qin Y.. 2017. ERECTA signaling controls Arabidopsis inflorescence architecture through chromatin-mediated activation of PRE1 expression. New Phytologist 214, 1579–1596. [DOI] [PubMed] [Google Scholar]
- Caine RS, Yin XJ, Sloan J, et al. 2019. Rice with reduced stomatal density conserves water and has improved drought tolerance under future climate conditions. New Phytologist 221, 371–384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Castro FMR, Bruzi AT, Nunes JAR, Parrella RAC, Lombardi GMR, Albuquerque CJB, Lopes M.. 2015. Agronomic and energetic potential of biomass sorghum genotypes. American Journal of Plant Science 6, 1862–1873. [Google Scholar]
- Chiang F, Mazdiyasni O, AghaKouchak A.. 2021. Evidence of anthropogenic impacts on global drought frequency, duration, and intensity. Nature Communications 12, 2754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Condon AG, Richards RA, Rebetzke GJ, Farquhar GD.. 2004. Breeding for high water-use efficiency. Journal of Experimental Botany 55, 2447–2460. [DOI] [PubMed] [Google Scholar]
- Deans RM, Brodribb TJ, Busch FA, Farquhar GD.. 2020. Optimization can provide the fundamental link between leaf photosynthesis, gas exchange and water relations. Nature Plants 6, 1116–1125. [DOI] [PubMed] [Google Scholar]
- Des Marais DL, Auchincloss LC, Sukamtoh E, McKay JK, Logan T, Richards JH, Juenger TE.. 2014. Variation in MPK12 affects water use efficiency in Arabidopsis and reveals a pleiotropic link between guard cell size and ABA response. Proceedings of the National Academy of Sciences, USA 111, 2836–2841. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dunn J, Hunt L, Afsharinafar M, Meselmani M, Mitchell A, Howells R, Wallington E, Fleming AJ, Gray JE.. 2019. Reduced stomatal density in bread wheat leads to increased water-use efficiency. Journal of Experimental Botany 70, 4737–4748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Farquhar GD, Sharkey TD.. 1982. Stomatal conductance and photosynthesis. Annual Review of Plant Physiology and Plant Molecular Biology 33, 317–345. [Google Scholar]
- Ferguson JN, Fernandes SB, Monier B, et al. 2021. Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions. Plant Physiology 187, 1481–1500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ferguson JN, Humphry M, Lawson T, Brendel O, Bechtold U.. 2018. Natural variation of life-history traits, water use, and drought responses in Arabidopsis. Plant Direct 2, e00035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Flexas J, Niinemets U, Galle A, Barbour MM, Centritto M, Diaz-Espejo A, Douthe C, Galmes J, Ribas-Carbo M, Rodriguez P.. 2013. Diffusional conductances to CO2 as a target for increasing photosynthesis and photosynthetic water-use efficiency. Photosynthesis Research 117, 45–59. [DOI] [PubMed] [Google Scholar]
- Franks PJ, Doheny-Adams TW, Britton-Harper ZJ, Gray JE.. 2015. Increasing water-use efficiency directly through genetic manipulation of stomatal density. New Phytologist 207, 188–195. [DOI] [PubMed] [Google Scholar]
- Gelfand I, Sahajpal R, Zhang XS, Izaurralde RC, Gross KL, Robertson GP.. 2013. Sustainable bioenergy production from marginal lands in the US Midwest. Nature 493, 514–517. [DOI] [PubMed] [Google Scholar]
- Ghannoum O. 2008. C4 photosynthesis and water stress. Annals of Botany 103, 635–644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ghannoum O, Evans JR, von Caemmerer S.. 2011. Nitrogen and water use efficiency of C4 plants. In: Raghavendra AS, Sage RF, eds. C4 photosynthesis and related CO2 concentrating mechanisms. Dordrecht: Springer, 129–146. [Google Scholar]
- Guo X, Ge Z, Sato SJ, Clemente TE.. 2015. Sorghum (Sorghum bicolor). Methods in Molecular Biology 1223, 181–188. [DOI] [PubMed] [Google Scholar]
- Hajdukiewicz P, Svab Z, Maliga P.. 1994. The small, versatile pPZP family of Agrobacterium binary vectors for plant transformation. Plant Molecular Biology 25, 989–994. [DOI] [PubMed] [Google Scholar]
- Hara K, Kajita R, Torii KU, Bergmann DC, Kakimoto T.. 2007. The secretory peptide gene EPF1 enforces the stomatal one-cell-spacing rule. Genes & Development 21, 1720–1725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hara K, Yokoo T, Kajita R, Onishi T, Yahata S, Peterson KM, Torii KU, Kakimoto T.. 2009. Epidermal cell density is autoregulated via a secretory peptide, EPIDERMAL PATTERNING FACTOR 2 in Arabidopsis leaves. Plant and Cell Physiology 50, 1019–1031. [DOI] [PubMed] [Google Scholar]
- Harrison EL, Arce Cubas L, Gray JE, Hepworth C.. 2020. The influence of stomatal morphology and distribution on photosynthetic gas exchange. The Plant Journal 101, 768–779. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hatfield JL, Dold C.. 2019. Water-use efficiency: advances and challenges in a changing climate. Frontiers in Plant Science 10, 103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Haus MJ, Kelsch RD, Jacobs TW.. 2015. Application of optical topometry to analysis of the plant epidermis. Plant Physiology 169, 946–959. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hepworth C, Doheny-Adams T, Hunt L, Cameron DD, Gray JE.. 2015. Manipulating stomatal density enhances drought tolerance without deleterious effect on nutrient uptake. New Phytologist 208, 336–341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Howe A, Sato S, Dweikat I, Fromm M, Clemente T.. 2006. Rapid and reproducible Agrobacterium-mediated transformation of sorghum. Plant Cell Reports 25, 784–791. [DOI] [PubMed] [Google Scholar]
- Hughes J, Hepworth C, Dutton C, Dunn JA, Hunt L, Stephens J, Waugh R, Cameron DD, Gray JE.. 2017. Reducing stomatal density in barley improves drought tolerance without impacting on yield. Plant Physiology 174, 776–787. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hughes TE, Langdale JA.. 2022. SCARECROW is deployed in distinct contexts during rice and maize leaf development. Development 149, dev200410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hunt L, Bailey KJ, Gray JE.. 2010. The signalling peptide EPFL9 is a positive regulator of stomatal development. New Phytologist 186, 609–614. [DOI] [PubMed] [Google Scholar]
- Hunt L, Gray JE.. 2009. The signaling peptide EPF2 controls asymmetric cell divisions during stomatal development. Current Biology 19, 864–869. [DOI] [PubMed] [Google Scholar]
- Karavolias NG, Patel-Tupper D, Seong K, et al. 2023. Paralog editing tunes rice stomatal density to maintain photosynthesis and improve drought tolerance. Plant Physiology 192, 1168–1182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Khan A, Wang Z, Xu K, Li L, He L, Hu H, Wang G.. 2020. Validation of an enzyme-driven model explaining photosynthetic rate responses to limited nitrogen in crop plants. Frontiers in Plant Science 11, 1481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Khanna M, Chen LY, Basso B, et al. 2021. Redefining marginal land for bioenergy crop production. Global Change Biology Bioenergy 13, 1590–1609. [Google Scholar]
- Kimura Y, Tasaka M, Torii KU, Uchida N.. 2018. ERECTA-family genes coordinate stem cell functions between the epidermal and internal layers of the shoot apical meristem. Development 145, dev156380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kondo T, Kajita R, Miyazaki A, et al. 2010. Stomatal density is controlled by a mesophyll-derived signaling molecule. Plant and Cell Physiology 51, 1–8. [DOI] [PubMed] [Google Scholar]
- Kumari A, Jewaria PK, Bergmann DC, Kakimoto T.. 2014. Arabidopsis reduces growth under osmotic stress by decreasing SPEECHLESS protein. Plant and Cell Physiology 55, 2037–2046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kunrath TR, Lemaire G, Teixeira E, Brown HE, Ciampitti IA, Sadras VO.. 2020. Allometric relationships between nitrogen uptake and transpiration to untangle interactions between nitrogen supply and drought in maize and sorghum. European Journal of Agronomy 120, 126145. [Google Scholar]
- Lau OS, Davies KA, Chang J, Adrian J, Rowe MH, Ballenger CE, Bergmann DC.. 2014. Direct roles of SPEECHLESS in the specification of stomatal self-renewing cells. Science 345, 1605–1609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leakey ADB. 2009. Rising atmospheric carbon dioxide concentration and the future of C4 crops for food and fuel. Proceedings of the Royal Society B: Biological Sciences 276, 2333–2343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leakey ADB, Bernacchi CJ, Dohleman F, Ort DR, Long SP.. 2004. Will photosynthesis of maize (Zea mays) in the US Corn Belt increase in future [CO2] rich atmospheres? An analysis of diurnal courses of CO2 uptake under free-air concentration enrichment (FACE). Global Change Biology 10, 951–962. [Google Scholar]
- Leakey ADB, Ferguson JN, Pignon CP, Wu A, Jin Z, Hammer GL, Lobell DB.. 2019. Water use efficiency as a constraint and target for improving the resilience and productivity of C3 and C4 crops. Annual Review of Plant Biology 70, 781–808. [DOI] [PubMed] [Google Scholar]
- Leakey ADB, Uribelarreà M, Ainsworth EA, Naidu SL, Rogers A, Ort DR, Long SP.. 2006. Photosynthesis, productivity, and yield of maize are not affected by open-air elevation of CO2 concentration in the absence of drought. Plant Physiology 140, 779–790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lenth RV. 2016. Least-squares means: the R package lsmeans. Journal of Statistical Software 69, 1–33. [Google Scholar]
- Liu T, Ohashi-Ito K, Bergmann DC.. 2009. Orthologs of Arabidopsis thaliana stomatal bHLH genes and regulation of stomatal development in grasses. Development 136, 2265–2276. [DOI] [PubMed] [Google Scholar]
- Liu YB, Qin LJ, Han LZ, Xiang Y, Zhao DG.. 2015. Overexpression of maize SDD1 (ZmSDD1) improves drought resistance in Zea mays L. by reducing stomatal density. Plant Cell, Tissue and Organ Culture 122, 147–159. [Google Scholar]
- Long SP, Bernacchi CJ.. 2003. Gas exchange measurements, what can they tell us about the underlying limitations to photosynthesis? Procedures and sources of error. Journal of Experimental Botany 54, 2393–2401. [DOI] [PubMed] [Google Scholar]
- Lundgren MR, Mathers A, Baillie AL, et al. 2019. Mesophyll porosity is modulated by the presence of functional stomata. Nature Communications 10, 1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lundgren MR, Osborne CP, Christin P-A.. 2014. Deconstructing Kranz anatomy to understand C4 evolution. Journal of Experimental Botany 65, 3357–3369. [DOI] [PubMed] [Google Scholar]
- Lunn D, Kannan B, Germon A, Leverett A, Clemente TE, Altpeter F, Leakey ADB.. 2024. Greater aperture counteracts effects of reduced stomatal density on WUE: a case study on sugarcane and meta-analysis. Journal of Experimental Botany 75, 6837–6849. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luo Z-Q, Clemente T, Farrand SK.. 2001. Construction of a derivative of Agrobacterium tumefaciens C58 that does not mutate to tetracycline resistance. Molecular Plant-Microbe Interactions 14, 98–103. [DOI] [PubMed] [Google Scholar]
- Mall TK, Dweikat I, Sato SJ, Neresian N, Xu KM, Ge ZX, Wang D, Elthon T, Clemente T.. 2011. Expression of the rice CDPK-7 in sorghum: molecular and phenotypic analyses. Plant Molecular Biology 75, 467–479. [DOI] [PubMed] [Google Scholar]
- Markelz RJC, Strellner RS, Leakey ADB.. 2011. Impairment of C4 photosynthesis by drought is exacerbated by limiting nitrogen and ameliorated by elevated [CO2] in maize. Journal of Experimental Botany 62, 3235–3246. [DOI] [PubMed] [Google Scholar]
- Matsunami M, Matsunami T, Kokubun M.. 2010. Comparison of nitrogen uptake, transpiration rate and exudation rate between upland NERICAs and Japanese cultivars. Plant Production Science 13, 347–350. [Google Scholar]
- McKown KH, Bergmann DC.. 2020. Stomatal development in the grasses: lessons from models and crops (and crop models). New Phytologist 227, 1636–1648. [DOI] [PubMed] [Google Scholar]
- de Mendiburu F, Simon R.. 2015. Agricolae—ten years of an open source statistical tool for experiments in breeding, agriculture and biology. PeerJ PrePrints 3, 10.7287/peerj.preprints.1404v1. [Preprint]. [DOI] [Google Scholar]
- Mohammed U, Caine RS, Atkinson JA, Harrison EL, Wells D, Chater CC, Gray JE, Swarup R, Murchie EH.. 2019. Rice plants overexpressing OsEPF1 show reduced stomatal density and increased root cortical aerenchyma formation. Scientific Reports 9, 5584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morris GP, Ramu P, Deshpande SP, et al. 2013. Population genomic and genome-wide association studies of agroclimatic traits in sorghum. Proceedings of the National Academy of Sciences, USA 110, 453–458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Niu J, Chen F, Mi G, Li C, Zhang F.. 2007. Transpiration, and nitrogen uptake and flow in two maize (Zea mays L.) inbred lines as affected by nitrogen supply. Annals of Botany 99, 153–160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nunes TDG, Berg LS, Slawinska MW, et al. 2023. Regulation of hair cell and stomatal size by a hair cell-specific peroxidase in the grass Brachypodium distachyon. Current Biology 33, 1844–1854. [DOI] [PubMed] [Google Scholar]
- Ohki S, Takeuchi M, Mori M.. 2011. The NMR structure of stomagen reveals the basis of stomatal density regulation by plant peptide hormones. Nature Communications 2, 512. [DOI] [PubMed] [Google Scholar]
- Paterson AH, Bowers JE, Bruggmann R, et al. 2009. The Sorghum bicolor genome and the diversification of grasses. Nature 457, 551–556. [DOI] [PubMed] [Google Scholar]
- Pearce RB, Mock JJ, Bailey TB.. 1975. Rapid method for estimating leaf area per plant in maize. Crop Science 15, 691–694. [Google Scholar]
- Pignon CP, Fernandes SB, Valluru R, Bandillo N, Lozano R, Buckler E, Gore MA, Long SP, Brown PJ, Leakey ADB.. 2021. Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes. Plant Physiology 187, 2544–2562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Raissig MT, Abrash E, Bettadapur A, Vogel JP, Bergmann DC.. 2016. Grasses use an alternatively wired bHLH transcription factor network to establish stomatal identity. Proceedings of the National Academy of Sciences, USA 113, 8326–8331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rebetzke GJ, Richards RA, Condon AG, Farquhar GD.. 2006. Inheritance of carbon isotope discrimination in bread wheat (Triticum aestivum L.). Euphytica 150, 97–106. [Google Scholar]
- Rooney WL. 2014. Sorghum . In: Karlen DL, ed. Cellulosic energy cropping systems. Chichester, UK: John Wiley & Sons, Ltd, 109–129. [Google Scholar]
- Sadok W, Lopez JR, Smith KP.. 2021. Transpiration increases under high-temperature stress: potential mechanisms, trade-offs and prospects for crop resilience in a warming world. Plant, Cell & Environment 44, 2102–2116. [DOI] [PubMed] [Google Scholar]
- Sales CRG, Wang Y, Evers JB, Kromdijk J.. 2021. Improving C4 photosynthesis to increase productivity under optimal and suboptimal conditions. Journal of Experimental Botany 72, 5942–5960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schuler ML, Sedelnikova OV, Walker BJ, Westhoff P, Langdale JA.. 2018. SHORTROOT-mediated increase in stomatal density has no impact on photosynthetic efficiency. Plant Physiology 176, 757–772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shpak ED, Lakeman MB, Torii KU.. 2003. Dominant-negative receptor uncovers redundancy in the Arabidopsis ERECTA leucine-rich repeat receptor-like kinase signaling pathway that regulates organ shape. The Plant Cell 15, 1095–1110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Silva TN, Thomas JB, Dahlberg J, Rhee SY, Mortimer JC.. 2022. Progress and challenges in sorghum biotechnology, a multipurpose feedstock for the bioeconomy. Journal of Experimental Botany 73, 646–664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sinclair TR. 2012. Is transpiration efficiency a viable plant trait in breeding for crop improvement? Functional Plant Biology 39, 359–365. [DOI] [PubMed] [Google Scholar]
- Sinclair TR, Hammer GL, van Oosterom EJ.. 2005. Potential yield and water-use efficiency benefits in sorghum from limited maximum transpiration rate. Functional Plant Biology 32, 945–952. [DOI] [PubMed] [Google Scholar]
- Taylor SH, Franks PJ, Hulme SP, Spriggs E, Christin PA, Edwards EJ, Woodward FI, Osborne CP.. 2012. Photosynthetic pathway and ecological adaptation explain stomatal trait diversity amongst grasses. New Phytologist 193, 387–396. [DOI] [PubMed] [Google Scholar]
- Truong SK, McCormick RF, Mullet JE.. 2017. Bioenergy sorghum crop model predicts VPD-limited transpiration traits enhance biomass yield in water-limited environments. Frontiers in Plant Science 8, 335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- von Caemmerer S. 2000. Biochemical models of leaf photosynthesis. Clayton, Australia: CSIRO Publishing. [Google Scholar]
- von Caemmerer S, Furbank RT.. 2003. The C4 pathway: an efficient CO2 pump. Photosynthesis Research 77, 191–207. [DOI] [PubMed] [Google Scholar]
- Wang C, Liu S, Dong Y, Zhao Y, Geng A, Xia X, Yin W.. 2016. PdEPF1 regulates water-use efficiency and drought tolerance by modulating stomatal density in poplar. Plant Biotechnology Journal 14, 849–860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Webber H, Ewert F, Olesen JE, et al. 2018. Diverging importance of drought stress for maize and winter wheat in Europe. Nature Communications 9, 4249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wei H, Moore PH, Albert HH.. 2003. Comparative expression analysis of two sugarcane polyubiquitin promoters and flanking sequences in transgenic plants. Journal of Plant Physiology 160, 1241–1251. [DOI] [PubMed] [Google Scholar]
- Wickham H. 2009. Ggplot2: elegant graphics for data analysis, 2nd edn. New York: Springer. [Google Scholar]
- WWAP. 2015. The United Nations world water development report 2015. Water for a sustainable world. Paris: UNESCO. [Google Scholar]
- Xie JY, Fernandes SB, Mayfield-Jones D, Erice G, Choi M, Lipka AE, Leakey ADB.. 2021. Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping. Plant Physiology 187, 1462–1480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yoo CY, Pence HE, Jin JB, Miura K, Gosney MJ, Hasegawa PM, Mickelbart MV.. 2010. The Arabidopsis GTL1 transcription factor regulates water use efficiency and drought tolerance by modulating stomatal density via transrepression of SDD1. The Plant Cell 22, 4128–4141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zoulias N, Harrison EL, Casson SA, Gray JE.. 2018. Molecular control of stomatal development. The Biochemical Journal 475, 441–454. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Primary data for this manuscript are available at: https://doi.org/10.13012/B2IDB-4017279_V1.







