| Literature DB >> 24591050 |
J D Berger1, C Ludwig2.
Abstract
Our understanding of within-species annual plant adaptation to rainfall gradients is fragmented. Broad-scale ecological applications of Grime's C-S-R triangle are often superficial, while detailed drought physiology tends to be narrow, focusing on elite cultivars. The former lack the detail to explain how plants respond, while the latter provide little context to investigate trade-offs among traits, to explain where/why these might be adaptive. Ecophysiology, combining the breadth of the former with the detail of the latter, can resolve this disconnect and is applied here to describe adaptive strategies in the Mediterranean legume Lupinus luteus. Wild and domesticated material from low- and high-rainfall environments was evaluated under contrasting terminal drought. These opposing environments have selected for contrasting, integrated, adaptive strategies. Long-season, high-rainfall habitats select for competitive (C) traits: delayed phenology, high above- and below-ground biomass, productivity, and fecundity, leading to high water-use and early stress onset. Terminal drought-prone environments select for the opposite: ruderal (R) traits that facilitate drought escape/avoidance but limit reproductive potential. Surprisingly, high-rainfall ecotypes generate lower critical leaf water potentials under water deficit, maintaining higher relative water content than the latter. Given that L. luteus evolved in sandy, low-water-holding capacity soils, this represents a bet-hedging response to intermittent self-imposed water-deficits associated with a strongly C-selected adaptive strategy that is therefore redundant in R-selected low-rainfall ecotypes. Domesticated L. luteus is even more R-selected, reflecting ongoing selection for early maturity. Introgression of appropriate C-selected adaptive traits from wild germplasm may widen the crop production range.Entities:
Keywords: R- and C-selection; above- and below-ground biomass; adaptation; crop evolution; phenology; productivity.; terminal drought; water-use and stress onset
Mesh:
Substances:
Year: 2014 PMID: 24591050 PMCID: PMC4223984 DOI: 10.1093/jxb/eru006
Source DB: PubMed Journal: J Exp Bot ISSN: 0022-0957 Impact factor: 6.992
Intra-specific trait variation in Mediterranean annuals sampled across rainfall gradients
| Trait | Low rain | High rain | Species | Germplasm origin | Reference |
|---|---|---|---|---|---|
| Phenology | Early | Later | Various ( | Syria | Ehrman and Cocks, 1996 |
| Early | Later |
| Israel |
Petrů | |
| Early | Later |
| Israel |
Kato | |
| Early | Later |
| Israel | Volis, 2007 | |
| Early | Later |
| Israel |
Aronson | |
| Early | Later |
| Israel |
Ben-David | |
| Early | Later |
| Mediterranean basin, South Asia, Australia |
Berger | |
| Early | Later |
| Mediterranean basin |
Berger | |
| Early | Later |
| Mediterranean SW Australia | Bennett, 1997 | |
| Early | Later |
| Italy |
Graziano | |
| Early | Later |
| Italy, Mediterranean SW Australia |
Nichols | |
| Biomass | Low | High |
| Mediterranean SW Australia |
Nichols |
| Low | High |
| Mediterranean SW Australia | Bennett, 1997 | |
| Low | High |
| Israel |
Ben-David | |
| Low | High |
| Israel |
Aronson | |
| Low | High |
| Italy |
Graziano | |
| Low | High |
| Tunisia |
Yousfi | |
| Equal | Equal |
| Mediterranean basin |
Berger | |
| Reproductive index | High | Low |
| Israel |
Aronson |
| High | Low |
| Med. basin, South Asia, Australia |
Berger | |
| High | Low |
| Israel |
Petrů | |
| High | Low |
| Mediterranean basin |
Berger | |
| High | Low |
| Mediterranean SW Australia |
Nichols | |
| Root–shoot ratio | High | Low |
| Tunisia |
Yousfi |
| Equal | Equal |
| Tunisia |
Yousfi | |
| High | Low |
| Israel |
Aronson | |
| Leaf area | Low | High |
| Israel |
Nevo |
| Low | High |
| Portugal, Azores |
Rodrigues | |
| Hard seededness | High | Low |
| Mediterranean SW Australia |
Nichols |
| High | Low | Various ( | Syria | Ehrman and Cocks, 1996 | |
| Seed size | Large | Small |
| Mediterranean SW Australia | Bennett, 1997 |
| Growth rates | High | Low |
| Mediterranean basin |
Berger |
| Gas exchange | Low | High |
| Tunisia |
Yousfi |
| High | Low |
| Israel |
Nevo | |
| WUE | Low | High |
| Israel |
Nevo |
| High | Low |
| Tunisia |
Yousfi | |
| Water relations | High | Low |
| Tunisia |
Yousfi |
| High | Low |
| Portugal, Azores |
Rodrigues |
Large leaves, broad stems and petioles: large plants at maturity.
Estimated by main stem length.
CO2 assimilation (A), stomatal conductance (G), and transpiration (T) per unit leaf area.
WUE: instantaneous water use efficiency (A/T).
Water relations under deficit: leaf relative water content (RWC), leaf water potential (LWP) (Rodrigues et al., 1995 only), solute concentration and osmotic potential.
Provenance and collection site seasonal climate of germplasm evaluated in 2008 and 2010 experimentsAbbreviations as follows: Clus, cluster defined in Berger et al. (2008a ); cv., cultivar; Aus, Australia; Bys, Belarus; Deu, Germany; Esp, Spain; Hun, Hungary; Isr, Israel; Mar, Morocco; Pol, Poland; Prt, Portugal; SUN, former Soviet Union; pre-seas, pre-season; veg, vegetative phase; rep, reproductive phase; temp, temperature.
| Cluster category | Habitat | Germplasm origin ( | Cultivar names | Rainfall (mm) | Mean temp (ºC) | Rep temp change | |||
|---|---|---|---|---|---|---|---|---|---|
| Pre-seas | Veg | Rep | Veg | Rep | (ºC d–1) | ||||
| Cluster 1 European cv. | European spring-sown. Low rainfall, cool, rapidly warming veg phase; med rainfall, warm, but cooling rep phase: low terminal drought stress (TDS) | 5: Bys, 1; Deu, 1; Hun, 1; Pol, 1; SUN, 1 | Grodnenskii, Puissant, Gardenaj, Teo-105 (Wodjil | 306 | 105 | 216 | 10.8 | 17.2 | –0.01 |
| Cluster 3 Australian cv. | Mediterranean short season. Med rainfall, warm veg and rep phases (temp increasing over time): med-high TDS | 1: Aus | Pootallong | 98 | 189 | 97 | 13.2 | 14.3 | 0.10 |
| Cluster 2 wild (W) | Mediterranean long season. High-rainfall cool, frosty veg phase; cool, wet rep phase: low TDS | 5: Prt, 4; Esp, 1 | 76 | 625 | 468 | 11.0 | 14.9 | 0.07 | |
| Cluster 3 wild (W) | (See Cluster 3 above) | 5: Isr, 3; Mar,2 | 14 | 312 | 165 | 15.5 | 17.3 | 0.08 | |
Spanish wild germplasm (PNO 22948) only evaluated in 2010.
Wodjil: an Australian cultivar selected from the Polish line Teo-105. (Treated as an Australian, rather than European cultivar in subsequent analyses)
Phenology, root–shoot ratio, SLA, terminal drought water-use, and RWC decline of L. luteus, categorized by domestication status and habitat of originCluster collection site terminal drought stress intensity increases with cluster number (details in Table 2).
| Cluster category | Flowering (d) | Podding (d) | Root–shoot ratio | SLA | Water-use (exp. para R) | RWC decline (% ºd–1) | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Year | 2008 | 2010 | 2008 | 2010 | 2010 | 2010 | 2008 | 2010 | 2008 | 2010 |
| Cluster 1; European cv. | 64 | 72 | 75 | 81 | 0.33 | 215.4 | 0.994 | 0.989 | –0.07 | –0.08 |
| Cluster 3; Australian cv. | 67 | 69 | 78 | 77 | 0.993 | 0.992 | –0.05 | –0.08 | ||
| Cluster 2; wild | 87 | 107 | 97 | 114 | 0.37 | 172.8 | 0.985 | 0.985 | –0.21 | –0.14 |
| Cluster 3; wild | 70 | 77 | 82 | 86 | 0.30 | 208.9 | 0.993 | 0.992 | –0.08 | –0.10 |
| Wild contrast: 2 versus 3 | <0.001 | <0.001 | <0.001 | <0.001 | 0.002 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 |
| LSD ( | 3 | 3 | 4 | 3 | 0.04 | 17.4 | 0.002 | 0.004 | 0.06 | 0.05 |
SLA, specific leaf area.
exp. para R, exponential rate of PAW decreases over thermal time since the onset of terminal drought.
% ºd–1, linear rate of RWC decrease over thermal time since the onset of terminal drought.
Fig. 1.Early reproductive phase leaf area (a) and biomass partitioning (b) in domesticated (Cluster 1) and wild L. luteus germplasm collected from contrasting terminal drought-stress habitats (Cluster 2, low; Cluster 3, medium). In (b) root biomass is represented by negative values to emphasize above- and below-ground differences. Values in parentheses are days to first podding; biomass harvests were conducted approximately 7 d later.
Fig. 2.Productivity and fecundity at physiological maturity of L. luteus in 2010 (a, b) and 2008 (c). In 2010 (a, b) the main effects are presented because water regime×category interaction was NS. (Error bars represent LSD (P <0.05.) The offset LSD in (a) is for pod wt (seed+pod wall). In 2008 (c) the pod no/biomass regression captures 91.5% of variance, with different slopes indicated for clusters (P <0.057). (This figure is available in colour at JXB online.)
Fig. 3.Terminal drought water-use (a, b) and stress onset (c) over time in L. luteus in 2008 (2010 data for water-use is similar, and not presented). In (a) exponential curves fitting separate linear and non-linear parameters for clusters explain 91% of variance (93% in 2010). Per cent plant available water (PAW) was calculated using pot weights at field capacity, measured before the onset of terminal drought (1.13 l pot–1). In (b) adjusted r =0.78 in a linear regression, fitting a common line to all values. In (c) adjusted r =0.69 for a broken stick linear regression, fitting separate slopes for provenance categories. (This figure is available in colour at JXB online.)
Fig. 4.Changes in (a) relative leaf water content (RWC) and (b) leaf water potential (LWP) over diminishingly available water after the onset of terminal drought in 2008 in L. luteus (2010 data for RWC is similar, and not presented). Curves represent fitted values from exponential models fitting separate linear and non-linear parameters for clusters (adjusted r =0.71–0.78). (This figure is available in colour at JXB online.)
Fig. 5.Effect of plant water status (a) LWP and (b) RWC on relative transpiration rate in L. luteus. Curves represent fitted values from exponential models fitting separate constant parameters (a) for clusters (adjusted r =0.70–0.77). (This figure is available in colour at JXB online.)
Fig. 6.Leaf relative water content declines at different rates over leaf water potential in L. luteus, depending on domestication status and habitat of origin. Curves represent fitted values from linear regression, fitting separate intercepts and slopes for clusters (adjusted r =0.86). (This figure is available in colour at JXB online.)