| Literature DB >> 22174755 |
Stephanie S Porter1, Maureen L Stanton, Kevin J Rice.
Abstract
Species interactions play a critical role in biological invasions. For example, exotic plant and microbe mutualists can facilitate each other's spread as they co-invade novel ranges. Environmental context may influence the effect of mutualisms on invasions in heterogeneous environments, however these effects are poorly understood. We examined the mutualism between the legume, Medicago polymorpha, and the rhizobium, Ensifer medicae, which have both invaded California grasslands. Many of these invaded grasslands are composed of a patchwork of harsh serpentine and relatively benign non-serpentine soils. We grew legume genotypes collected from serpentine or non-serpentine soil in both types of soil in combination with rhizobium genotypes from serpentine or non-serpentine soils and in the absence of rhizobia. Legumes invested more strongly in the mutualism in the home soil type and trends in fitness suggested that this ecotypic divergence was adaptive. Serpentine legumes had greater allocation to symbiotic root nodules in serpentine soil than did non-serpentine legumes and non-serpentine legumes had greater allocation to nodules in non-serpentine soil than did serpentine legumes. Therefore, this invasive legume has undergone the rapid evolution of divergence for soil-specific investment in the mutualism. Contrary to theoretical expectations, the mutualism was less beneficial for legumes grown on the stressful serpentine soil than on the non-serpentine soil, possibly due to the inhibitory effects of serpentine on the benefits derived from the interaction. The soil-specific ability to allocate to a robust microbial mutualism may be a critical, and previously overlooked, adaptation for plants adapting to heterogeneous environments during invasion.Entities:
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Year: 2011 PMID: 22174755 PMCID: PMC3235091 DOI: 10.1371/journal.pone.0027935
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Mixed model ANCOVA for M. polymorpha and E. medicae isolates from non-serpentine and serpentine soil origins grown together in non-serpentine and serpentine destination soils in the greenhouse1.
| MIXED MODEL ANCOVA | F-STATISTICS | |||||||
| df |
|
|
| |||||
| Fixed effects | n | d | Ln pod num | Sqrt seed mass | Ln stem length | Ln root mass | Ln nodule num | Ln nodule mass |
| P origin | 1 | 31.3 | 4.6 |
|
|
| 0.3 | 0.65 |
| Dest soil | 1 | 14.4 |
|
|
| 2.54 | 1.34 | 3.26 |
| R origin | 1 | 9.7 | 0.01 | 0.16 | 0.92 | 0.31 |
|
|
| R div (R origin) | 2 | 9.8 | 0.13 | 0.1 | 0.57 | 2.36 | 1.19 |
|
| R ID (R origin * R div) | 2 | 9.5 | 0.01 | 0.09 | 0.08 | 0.01 | 0.57 | 3.07 |
| P origin * Dest soil | 1 | 25.0 |
| 5.19 | 2.47 | 4.43 | 5.63 |
|
| P origin * R origin | 1 | 24.8 |
| 2.7 | 1.99 | 1.56 | 1.55 | 1.52 |
| P origin * R div | 2 | 25.1 | 1.81 | 1.34 | 0.53 | 0.11 | 1.1 | 0.8 |
| P origin * R ID (R origin * R div) | 2 | 23.8 | 2.36 | 0.21 | 0.27 | 1.76 | 0.65 | 0.26 |
| R origin * dest soil | 1 | 14.2 | 0.5 | 0.39 | 0.64 | 0.39 | 0.07 | 0.16 |
| P origin * R origin * dest soil | 1 | 25.0 | 0.24 | 0 | 0.7 | 0.03 | 0.66 | 0.32 |
| Initial seed weight covariate | 1 | 352.3 | 2.37 | 0.4 | 0.04 | 0.86 |
| 0.56 |
Random effects reflecting the main plot, split-plot and split-split-plot levels of organization of the factorial experimental design were not of experimental interest and are not shown. Bonferroni correction for two hypotheses per test yields alpha = 0.025 as a threshold for significance; F-statistics in bold are significant.
P<0.05;
a, P<0.025; b, P<0.01; c, P<0.001; d, P<0.0001. Abbreviations: P, plant; R, rhizobium; div, diversity; df, degrees of freedom; n, numerator; d, mean denominator; Ln, natural log transform; Sqrt, square-root transform; num, number.
Figure 1Adaptive differentiation in Medicago polymorpha for reproductive and symbiotic traits.
Reaction norm plots for plants collected from non-serpentine (N-plant) vs. serpentine (S-plant) soils. (a) Number of pods produced in non-serpentine vs. serpentine destination soil. (b) Nodule mass produced in non-serpentine vs. serpentine destination soil. (c) Number of pods produced when plants were inoculated with rhizobia from non-serpentine vs. serpentine origin (d) Nodule mass per mass of root produced in non-serpentine vs. serpentine destination soil. Fitness indices are least square means (LSM) from the ANCOVA analysis of natural log (Ln) transformed values. Bars are +/− LSM standard error.
Figure 2Effect of soil type on plant investment in mutualism.
Proportional difference in symbiotic tissue investment for serpentine and non-serpentine plant populations grown in the two soil types. Standardized effect of soil type is calculated as the ((population mean value in non-serpentine soil)-(population mean value in serpentine))/(population mean value in non-serpentine soil). Mean values for each non-serpentine (N1–N3) and serpentine (S1, S2, S3, S4) population are presented for both allocation to biomass of nodule tissue per biomass of root tissue (nodule mass/root mass) and the raw biomass of nodule tissue (nodule mass).
Mixed model ANCOVA for M. polymorpha grown either in the presence or absence of E. medicae in non-serpentine or serpentine destination soils in the greenhouse1.
| MIXED MODEL ANCOVA | F-STATISTICS | |||||
| df |
|
| ||||
| Fixed effects of interest | n | d | Ln pod num | Seed mass | Ln stem length | Root mass |
| R presence | 1 | 14.3 |
|
| 0.01 | 0.02 |
| Dest soil * R presence | 1 | 12.1 | 1.6 |
| 0.45 | 0.91 |
| P origin * R presence | 1 | 21.0 | 0.81 | 2.37 | 0.86 | 0.02 |
Only the fixed effects or interactions involving presence/absence of rhizobium are shown; random effects reflecting the main plot, split-plot and split-split-plot levels of organization of the factorial experimental design were not of experimental interest. Bonferroni correction for two hypotheses per test yields alpha = 0.025 as a threshold for significance; F-statistics in bold are significant. †, P<0.05; b, P<0.01; c, P<0.001; d, P<0.0001. Abbreviations: P, plant; R, rhizobium; df, degrees of freedom; n, numerator; d, mean denominator; Ln, natural log transform; num, number.
Figure 3Effect of rhizobia on the expression of plant traits.
Least square (LS) mean values from the simplified ANCOVA model for two reproductive traits, pod number and seed mass, and for two vegetative traits, stem length and root mass. Whilte columns indicate plants grown with no rhizobium (n = 70) and grey columns indicate plants grown with rhizobial inoculation (n = 403). Pod number and stem length and root mass were natural log transformed in the ANCOVA while seed mass and root mass means were calculated in a weighted ANCOVA; untransformed values are shown here. *P<0.001, 60% increase with rhizobium; **P<0.0001, 206% increase with rhizobium.
Figure 4Context dependence of the impact of rhizobia on plant fitness.
Reaction norm plot of total seed mass for plants grown with or without rhizobium in non-serpentine (N) and serpentine (S) destination soil, from the simplified weighted ANCOVA model. Bars are +/− LSM standard error.