| Literature DB >> 28018654 |
Haylee D'Agui1, William Fowler1, Sim Lin Lim1, Neal Enright2, Tianhua He1.
Abstract
Declining rainfall is projected to have negative impacts on the demographic performance of plant species. Little is known about the adaptive capacity of species to respond to drying climates, and whether adaptation can keep pace with climate change. In fire-prone ecosystems, episodic recruitment of perennial plant species in the first year post-fire imposes a specific selection environment, offering a unique opportunity to quantify the scope for adaptive response to climate change. We examined the growth of seedlings of four fire-killed species under control and drought conditions for seeds from populations established in years following fire receiving average-to-above-average winter rainfall, or well-below-average winter rainfall. We show that offspring of plants that had established under drought had more efficient water uptake, and/or stored more water per unit biomass, or developed denser leaves, and all maintained higher survival in simulated drought than did offspring of plants established in average annual rainfall years. Adaptive phenotypic responses were not consistent across all traits and species, while plants that had established under severe drought or established in years with average-to-above-average rainfall had an overall different physiological response when growing either with or without water constraints. Seedlings descended from plants established under severe drought also had elevated gene expression in key pathways relating to stress response. Our results demonstrate the capacity for rapid adaptation to climate change through phenotypic variation and regulation of gene expression. However, effective and rapid adaptation to climate change may vary among species depending on their capacity to maintain robust populations under multiple stresses.Entities:
Keywords: adaptation; climate change; drought
Year: 2016 PMID: 28018654 PMCID: PMC5180152 DOI: 10.1098/rsos.160637
Source DB: PubMed Journal: R Soc Open Sci ISSN: 2054-5703 Impact factor: 2.963
Canonical discriminant function analysis of overall difference of growth and physiological traits between HiR and LoR seedlings of the four species growing in conditions either with full water supply or with simulated drought. Significant p-values in italics (α = 0.05).
| species | watering regime | Wilks's lambda | probability |
|---|---|---|---|
| full water | 0.684 | ||
| simulated drought | 0.860 | 0.680 | |
| full water | 0.850 | 0.476 | |
| simulated drought | 0.690 | ||
| full water | 0.760 | 0.860 | |
| simulated drought | 0.528 | ||
| full water | 0.341 | ||
| simulated drought | 0.519 |
Figure 1.Standardized measurement of growth and drought traits of seedlings derived from HiR (blue) and LoR (orange) populations in the glasshouse experiment with full water supply. Box indicates 25–75th percentile, black dots represent outliers. An ‘x’ with an asterisk indicates a significant difference in mean values, and an ‘m’ with an asterisk indicates a significant difference in median values between HiR and LoR populations.
Figure 2.Standardized measurement of growth and physiological traits of seedlings derived from HiR (blue) and LoR (orange) populations in the glasshouse experiment under conditions of water deficit. Box indicates 25–75th percentile, black dots represent outliers. An ‘x’ with an asterisk indicates a significant difference in mean values and an ‘m’ with an asterisk indicates a significant difference in median values between HiR and LoR populations.
Two-way ANOVA of each trait with source of seedlings (HiR or LoR) as fixed variants, and different watering regime as covariant. Probabilities (less than 0.10) of overall difference between sources of seedlings are shown. Significant p-values in italics (α = 0.05).
| species | root length | biomass | LMA | water content/ biomass | water content/ root length | water content/ leaf area |
|---|---|---|---|---|---|---|
| — | — | 0.073 | — | 0.095 | — | |
| — | — | — | — | 0.093 | — | |
| — | — | — | — | |||
| — | — | — |
Figure 3.Watering regime and mortality (% at end of experiment) of seedlings derived from HiR and LoR sites of three species in the glasshouse experiment under three to six months of drought (Hakea costata was not included due to low survivorship, which left insufficient samples to be monitored further for mortality under drought). (a) Watering regime. Four stages were arranged, ranging from 15 days to 90 days over a period of 8.5 months; ‘full’ indicating full water supply (200 ml per plant, every second day) over the stage; ‘half’ indicating half water supply (100 ml per plant, every second day); ‘0’ indicating no water supply. (b) Mortality of seedlings from HiR sites; (c) mortality of seedlings from LoR sites; (d) mortality of seedlings over all sites in the two treatments. The p-values are probabilities of equal mortalities of seedlings from HiR and LoR sites (one-way ANOVA).
Biological pathways with significant expression change in seedlings of Banksia hookeriana from HiR and LoR populations growing in drought conditions. Differentially expressed genes were identified by a false discovery rate less than or equal to 0.001 and fold change value greater than 2. Differentially expressed gene clusters were identified by an adjusted p-value < 0.05.
| seedlings with HiR origin | seedlings with LoR origin |
|---|---|
| developmental growth | cell proliferation |
| meristem development | meristem development |
| root morphogenesis | xylem development |
| stomatal complex morphogenesis | stomatal complex morphogenesis |
| cell-wall biogenesis | cell-wall biogenesis |
| peptide transport | |
| protein phosphorylation | protein phosphorylation |
| response to gibberellin stimulus | |
| programmed cell death | programmed cell death |
| jasmonic acid biosynthesis and metabolism | salicylic acid biosynthesis and metabolism |
| response to salicylic acid stimulus | response to biotic stimulus |
| response to stress | response to stress |
| heat acclimation | defence response |
| cellular response to nutrient deficiency | |