| Literature DB >> 20482794 |
Jarrett R Johnson1, Benjamin M Fitzpatrick, H Bradley Shaffer.
Abstract
BACKGROUND: Introductions of non-native tiger salamanders into the range of California tiger salamanders have provided a rare opportunity to study the early stages of secondary contact and hybridization. We produced first- and second-generation hybrid salamanders in the lab and measured viability among these early-generation hybrid crosses to determine the strength of the initial barrier to gene exchange. We also created contemporary-generation hybrids in the lab and evaluated the extent to which selection has affected fitness over approximately 20 generations of admixture. Additionally, we examined the inheritance of quantitative phenotypic variation to better understand how evolution has progressed since secondary contact.Entities:
Mesh:
Year: 2010 PMID: 20482794 PMCID: PMC2889957 DOI: 10.1186/1471-2148-10-147
Source DB: PubMed Journal: BMC Evol Biol ISSN: 1471-2148 Impact factor: 3.260
Character means () and variances (s) for each line cross.
| Mass | SVL | Tmet | Growth | Survival | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cross | ||||||||||||
| CTS | 2 | 33 | 2.222 | 0.020945 | 4.161 | 0.002270 | 21.402 | 0.172576 | 1.306 | 0.001135 | 0.694 | 0.057741 |
| BTS | 2 | 40 | 3.041 | 0.113293 | 4.427 | 0.009838 | 22.397 | 1.229224 | 1.483 | 0.004610 | 0.918 | 0.000006 |
| bcCTS | 3 | 61 | 2.374 | 0.014341 | 4.200 | 0.003334 | 21.401 | 0.396139 | 1.336 | 0.000225 | 0.753 | 0.027811 |
| bcBTS | 3 | 77 | 2.953 | 0.012654 | 4.392 | 0.003761 | 21.905 | 0.371182 | 1.467 | 0.000295 | 0.953 | 0.004133 |
| F1 | 2 | 89 | 2.615 | 0.001193 | 4.279 | 0.000174 | 20.876 | 0.019523 | 1.399 | 0.000032 | 0.849 | 0.033349 |
| F2 | 2 | 37 | 2.474 | 0.043597 | 4.233 | 0.004615 | 21.513 | 0.122002 | 1.358 | 0.001693 | 0.617 | 0.000007 |
| Contemporary Hybrids | 5 | 77 | 2.627 | 0.035355 | 4.291 | 0.003233 | 22.135 | 0.680014 | 1.382 | 0.000876 | 0.550 | 0.035057 |
Mass and snout-vent length (SVL) values have been log transformed (ln [x + 1]). Time to metamorphosis (Tmet) has been square root transformed. Growth data were obtained by dividing 'mass' by 'Tmet'. Survival data represent the proportion of individuals reaching metamorphosis.
Figure 1Comparison of line - cross means to weighted expected mean survival in the 0th (solid line), 1st (dashed line), and 2nd (dotted line) generations of admixture (± 95% CI). The 'Source Index' (θS) = 2P - 1, where P is the average frequency of introduced BTS alleles in each cross type (Lynch 1991).
Figure 2Box-and-whisker plots of phenotypic trait values for A) Mass, B) SVL, C) Tmet, & D) Growth. Mass and SVL have been log-transformed and Tmet and Growth have been square-root-transformed. Letters above each line cross denote significant differences at α = 0.05 based on multiple t-test comparisons with Bonferroni correction. Horizontal lines denote the expected mean phenotypes for contemporary hybrids in the 0th (solid line segment), 1st (dashed line segment), and 2nd (dotted line segment) generations of admixture. The abbreviation 'Cont. Hyb.' stands for 'Contemporary Hybrids'.
Evaluation of the Chi-square test statistic (χ2) for fit of observed data to expectations under alternative quantitative genetic models.
| Trait | Model | |||
|---|---|---|---|---|
| Mass | 28.384 | 0.0080 | NA | |
| 5.979 | 0.9171 | 0.0000 | ||
| 5.917 | 0.8788 | 0.8038 | ||
| 5.533 | 0.8528 | 0.5357 | ||
| 4.791 | 0.8522 | 0.3888 | ||
| 4.157 | 0.8427 | 0.4262 | ||
| SVL | 8.714 | 0.7942 | NA | |
| 2.163 | 0.9991 | 0.0105 | ||
| 2.129 | 0.9980 | 0.8530 | ||
| 2.042 | 0.9960 | 0.7688 | ||
| 1.795 | 0.9943 | 0.6193 | ||
| 1.527 | 0.9923 | 0.6042 | ||
| Tmet | 45.252 | 0.0000 | NA | |
| 36.341 | 0.0003 | 0.0028 | ||
| 17.657 | 0.0899 | 0.0000 | ||
| 17.163 | 0.0708 | 0.4821 | ||
| 16.781 | 0.0523 | 0.5368 | ||
| 16.782 | 0.0325 | 1.0000 | ||
| Growth | 6.568 | 0.9230 | NA | |
| 1.316 | 0.9999 | 0.0219 | ||
| 1.317 | 0.9998 | 1.0000 | ||
| 1.137 | 0.9997 | 0.6720 | ||
| 0.968 | 0.9995 | 0.6811 | ||
| 0.757 | 0.9994 | 0.6457 | ||
The first model (including only μ0) is a null model of no variation among cross types. Significant chi-square values ( < 0.05) indicate lack of fit relative to a saturated model. Significant (PΛ < 0.05) likelihood-ratio tests (Eq. 2) indicate improvement in fit of higher-order models over simpler models. Asterisks denote the best-fit model for each phenotype.
Model comparison for linear mixed-effect logistic regression on alternative quantitative genetic models for survival of cross types.
| Model | df | AIC | BIC | Λ | |||
|---|---|---|---|---|---|---|---|
| 2 | 362.89 | 370.89 | -179.44 | ||||
| 3 | 364.69 | 376.70 | -179.34 | 0.1978 | 1 | 0.6565 | |
| 4 | 349.63 | 365.64 | -170.81 | 17.0631 | 1 | 0.0000 | |
| 5 | 345.30 | 365.32 | -167.65 | 6.3258 | 1 | 0.0119 | |
| 6 | 345.49 | 369.51 | -166.74 | 1.8142 | 1 | 0.1780 |
Models are evaluated using Akaike's Information Criterion (AIC), Bayesian Information Criterion (BIC), and Log Likelihood (Λ) goodness-of-fit estimates. The best model is denoted by an asterisk. Chi-square and p-values compare the respective model to the simpler model in the row above.
Table of P-values for multiple comparisons with t-tests (below diagonal), and pair-wise mean differences (column header minus row name; above diagonal).
| A. Mass | CTS | BTS | F1 | F2 | bcCTS | bcBTS | PondH |
|---|---|---|---|---|---|---|---|
| CTS | -- | 12.8 | 4.4 | 3.0 | 1.7 | 10.4 | 5.4 |
| BTS | <0.0001* | -- | -8.4 | -9.8 | -11.1 | -2.4 | -7.4 |
| F1 | <0.0001* | <0.0001* | -- | -1.4 | -2.7 | 6.0 | 1.0 |
| F2 | 0.0002* | <0.0001* | 0.0264 | -- | -1.3 | 7.4 | 2.4 |
| bcCTS | 0.0236 | <0.0001* | <0.0001* | 0.0562 | -- | 8.7 | 3.7 |
| bcBTS | <0.0001* | 0.3273 | <0.0001* | <0.0001* | <0.0001* | -- | -5.0 |
| PondH | <0.0001* | <0.0001* | 0.6876 | 0.0131 | <0.0001* | <0.0001* | -- |
| CTS | -- | 19.9 | 8.0 | 5.1 | 2.7 | 16.8 | 9.2 |
| BTS | <0.0001* | -- | -11.9 | -14.7 | -17.2 | -3.0 | -10.7 |
| F1 | <0.0001* | <0.0001* | -- | -2.8 | -5.3 | 8.9 | 1.2 |
| F2 | 0.0033 | <0.0001* | 0.0400 | -- | -2.4 | 11.7 | 4.1 |
| bcCTS | 0.0927 | <0.0001* | <0.0001* | 0.1007 | -- | 14.1 | 6.5 |
| bcBTS | <0.0001* | 0.2361 | <0.0001* | <0.0001* | <0.0001* | -- | -7.6 |
| PondH | <0.0001* | <0.0001* | 0.3750 | 0.0071 | <0.0001* | <0.0001* | -- |
| CTS | -- | 11 | -6 | 1 | 0 | 6 | 8 |
| BTS | 0.0002* | -- | -17 | -10 | -11 | -6 | -3 |
| F1 | 0.0314 | <0.0001* | -- | 7 | 6 | 11 | 14 |
| F2 | 0.3585 | 0.0031 | 0.0008* | -- | -1 | 4 | 7 |
| bcCTS | 0.5792 | 0.0002* | 0.0008* | 0.6311 | -- | 6 | 8 |
| bcBTS | 0.0068 | 0.0883 | <0.0001* | 0.0842 | 0.0095 | -- | 3 |
| PondH | 0.0001* | 0.7380 | <0.0001* | 0.0023* | <0.0001* | 0.0974 | -- |
| CTS | -- | 0.09 | 0.04 | 0.02 | 0.01 | 0.08 | 0.04 |
| BTS | <0.0001* | -- | -0.05 | -0.07 | -0.08 | -0.01 | -0.06 |
| F1 | <0.0001* | <0.0001* | -- | -0.02 | -0.03 | 0.04 | -0.01 |
| F2 | 0.0001* | <0.0001* | 0.0003* | -- | -0.01 | 0.06 | 0.01 |
| bcCTS | 0.0290 | <0.0001* | <0.0001* | 0.0291 | -- | 0.07 | 0.02 |
| bcBTS | <0.0001* | 0.3504 | <0.0001* | <0.0001* | <0.0001* | -- | -0.04 |
| PondH | <0.0001* | <0.0001* | 0.0310 | 0.0587 | <0.0001* | <0.0001* | -- |
Asterisks denote significance (a = 0.05) following Bonferroni correction.
Fisher's exact tests for multiple comparisons with sequential Bonferroni correction (below diagonal) and mean weighted percent survival differences between cross types (column header - row names; above diagonal).
| CTS | BTS | F1 | F2 | bcCTS | bcBTS | PondH | |
|---|---|---|---|---|---|---|---|
| CTS | -- | 0.330 | 0.282 | -0.051 | 0.155 | 0.425 | -0.073 |
| BTS | 0.0006* | -- | -0.049 | -0.382 | -0.176 | 0.095 | -0.404 |
| F1 | 0.0057 | 0.2990 | -- | -0.333 | -0.127 | 0.143 | -0.355 |
| F2 | 0.6801 | 0.0001* | 0.0005* | -- | 0.206 | 0.477 | -0.022 |
| bcCTS | 0.2262 | 0.0178 | 0.1234 | 0.0520 | -- | 0.270 | -0.228 |
| bcBTS | <0.0001* | 0.4413 | 0.0077 | <0.0001* | <0.0001* | -- | -0.499 |
| PondH | 0.1278 | <0.0001* | <0.0001* | 0.3990 | 0.0006* | <0.0001* | -- |
Asterisks denote significance based on sequential Bonferroni correction critical values.
Parameter coefficients (i.e., M matrix; [Lynch and Walsh 1998]) for each of the models.
| Line | |||||||
|---|---|---|---|---|---|---|---|
| P1 | CTS | 1 | -1 | -1 | 1 | 1 | 1 |
| P2 | BTS | 1 | 1 | -1 | 1 | 1 | -1 |
| F1 | (P1 × P2) & (P2 × P1) | 1 | 0 | 1 | 0 | 1 | 0 |
| F2 | (P1 × P2) × (P1 × P2) | 1 | 0 | 0 | 0 | 0 | 0 |
| B1 | [P1 × (P1 × P2)] & [(P1 × P2) × P1] = bcCTS | 1 | -0.5 | 0 | 0.25 | 0 | 0 |
| B2 | [P2 × (P1 × P2)] & [(P1 × P2) × P2] = bcBTS | 1 | 0.5 | 0 | 0.25 | 0 | 0 |
The purely additive model (α) holds that F1 and F2 trait values should fall at the midpoint of the values for P1 and P2, with values for B1 and B2 crosses falling at the midpoint of the F1 and P1 or P2, respectively.