| Literature DB >> 26895994 |
Zachary W Culumber1, Michael Tobler2.
Abstract
BACKGROUND: Ecological factors often have a strong impact on spatiotemporal patterns of biodiversity. The integration of spatial ecology and phylogenetics allows for rigorous tests of whether speciation is associated with niche conservatism (constraints on ecological divergence) or niche divergence. We address this question in a genus of livebearing fishes for which the role of sexual selection in speciation has long been studied, but in which the potential role of ecological divergence during speciation has not been tested.Entities:
Mesh:
Year: 2016 PMID: 26895994 PMCID: PMC4761163 DOI: 10.1186/s12862-016-0593-4
Source DB: PubMed Journal: BMC Evol Biol ISSN: 1471-2148 Impact factor: 3.260
Fig. 1Distributional maps showing the occurrence points (colored dots) and cumulative environmental suitability for platyfishes (a), northern swordtails (b), and southern swordtails (c). Cumulative suitabilities were obtained by using the raster calculator tool in ArcMap 10.2.2 using the logistic outputs of the niche model for each species as produced according to procedures described in the methods. The resulting maps demonstrate where the environmental is not suitable for any species (black) to where the environmental is suitable for the greatest number of species of the clade (species-specific colors in panels a-c)
Fig. 2a Phylogenetic relationships in the genus Xiphophorus. Black (south) and yellow (north) dots on branches indicate the geographic location of species relative to the Trans-Mexican Volcanic Belt. Major clades are color-coded with platyfishes in blue, northern swordtails in purple, and southern swordtails in green. Species not included in niche modeling are indicated with asterisks. For a larger version of the phylogeny with estimated divergence times see Additional file 1. b List of the nine Worldclim and three hydrographic variables from Hydro1k used for niche modeling and phyloclimatic analyses. c Phylogenetic PCA for multivariate niche space. The x-axis plots the loadings for principal component 1 (PC1) and the y-axis for PC2. The arrows indicate the loadings of the individual environmental variables for each PC and arrows are labeled according to the Worldclim variable that they represent. Taxa are represented by the first three letters of the species name with the exception of X. montezumae (monte) and X. monticolus (monti). Hydrographic variables were excluded from the PCA (see methods)
Fig. 3Results of the linear regression between node age and niche overlap. The significant negative slope indicates phylogenetic signal in niche overlap consistent with ecological divergence during speciation across the evolution of Xiphophorus. Dotted lines indicate 95 % confidence intervals
Weighted means of the predicted niche occupancy for all environmental variables used in niche modeling and for all species of Xiphophorus included in our analyses. Worldclim variables related to temperature are reported in degrees Celsius and precipitation variables in centimeters. The Hydro1k variables retained for analyses were compound topographic index (CTI), aspect ratio (Aspect), and flow accumulation (FA). The species are grouped by their primary evolutionary clade and by their position in the phylogenetic tree (Fig. 2a). Species present in Fig. 2a but not in the table were not niche modeled due to too few occurrence points. Letters behind the platyfish species names indicate their position relative to the Trans-Mexican Volcanic Belt (TMVB) as north (N) or south (S). All northern swordtails are north and all southern swordtails south of the TMVB, respectively
| Worldclim variables | Hydro1k variables | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Temperature (°C) | Precipitation (cm) | ||||||||||||
| Clade | Species | Bio2* | Bio4* | Bio5 | Bio6 | Bio7* | Bio13 | Bio15* | Bio17 | Bio18 | CTI | Aspect | FA |
| Platyfishes |
| 9.9 | 19.9 | 33.8 | 17.7 | 16.1 | 37.8 | 6.5 | 16.0 | 48.6 | 763.6 | 23247.8 | 614.1 |
|
| 13.7 | 40.5 | 34.0 | 8.4 | 25.6 | 14.4 | 6.9 | 5.9 | 25.0 | 596.0 | 21391.2 | 382.3 | |
|
| 9.6 | 19.8 | 32.5 | 16.3 | 16.2 | 38.8 | 7.1 | 13.7 | 43.4 | 589.2 | 19315.2 | 286.5 | |
|
| 13.7 | 28.3 | 29.8 | 7.0 | 22.8 | 27.2 | 8.1 | 8.4 | 44.4 | 470.0 | 17405.7 | 265.1 | |
|
| 11.1 | 33.7 | 33.8 | 13.1 | 20.7 | 24.6 | 7.0 | 10.4 | 48.7 | 601.6 | 15223.5 | 852.3 | |
|
| 13.2 | 41.4 | 32.5 | 7.2 | 25.3 | 13.7 | 7.0 | 5.4 | 23.1 | 541.9 | 13603.1 | 478.7 | |
| Northern Swordtails |
| 13.2 | 38.2 | 35.7 | 11.2 | 24.5 | 26.7 | 7.5 | 9.1 | 44.4 | 611.8 | 17190.5 | 563.4 |
|
| 11.4 | 35.3 | 35.0 | 13.3 | 21.7 | 23.2 | 7.8 | 7.4 | 40.9 | 644.2 | 17252.0 | 315.2 | |
|
| 12.4 | 35.0 | 35.6 | 12.9 | 22.7 | 25.6 | 7.5 | 8.6 | 41.5 | 656.2 | 18054.4 | 607.0 | |
|
| 13.0 | 32.5 | 32.6 | 9.7 | 22.9 | 24.0 | 8.3 | 6.0 | 40.2 | 505.7 | 12885.8 | 251.4 | |
|
| 13.2 | 33.5 | 32.9 | 9.6 | 23.3 | 23.8 | 8.5 | 6.1 | 42.0 | 525.1 | 14558.3 | 371.4 | |
|
| 11.9 | 34.2 | 34.4 | 12.6 | 21.8 | 30.9 | 6.7 | 13.5 | 53.1 | 619.6 | 17123.5 | 754.2 | |
|
| 13.2 | 29.5 | 33.3 | 11.2 | 22.1 | 26.7 | 7.0 | 11.2 | 46.9 | 543.1 | 18249.3 | 267.4 | |
|
| 14.6 | 26.0 | 30.1 | 7.0 | 23.1 | 22.4 | 7.6 | 7.2 | 34.7 | 412.4 | 15254.1 | 80.8 | |
| Southern Swordtails |
| 11.9 | 19.7 | 32.9 | 14.3 | 18.6 | 25.9 | 8.4 | 6.9 | 29.0 | 654.2 | 19635.7 | 396.2 |
|
| 10.5 | 19.1 | 33.8 | 17.0 | 16.8 | 42.9 | 7.1 | 17.4 | 47.3 | 601.9 | 17852.3 | 221.5 | |
|
| 11.3 | 17.2 | 32.5 | 15.2 | 17.3 | 25.8 | 8.8 | 5.8 | 25.3 | 564.6 | 16365.0 | 206.5 | |
|
| 10.3 | 18.8 | 33.1 | 16.8 | 16.3 | 39.1 | 6.7 | 17.4 | 51.4 | 577.0 | 17241.4 | 68.4 | |
|
| 9.6 | 15.3 | 33.2 | 18.9 | 14.3 | 34.3 | 6.3 | 15.5 | 51.6 | 759.8 | 23619.7 | 1996.3 | |
|
| 9.2 | 16.6 | 32.2 | 18.0 | 14.2 | 32.4 | 5.1 | 20.5 | 56.9 | 648.5 | 15546.0 | 153.6 | |
|
| 11.6 | 13.7 | 31.2 | 14.7 | 16.5 | 34.9 | 7.2 | 12.8 | 49.6 | 552.4 | 20222.3 | 485.8 | |
*Variables are derived as follows:
Bio2 (mean diurnal range): mean of (monthly maximum temperature - monthly minimum temperature)
Bio4 (temperature seasonality): standard deviation of monthly mean temperature multiplied by 100
Bio7 (temperature annual range): maximum temperature in the warmest month - minimum temperature in the coldest month (i.e., Bio5 - Bio6)
Bio15 (precipitation seasonality): coefficient of variation of monthly mean precipitation
Fig. 4Ancestral tolerance plots (ATP) for annual temperature range (a) and precipitation of the driest quarter (b). Taxa are indicated by the first three letters of the species name and colored by primary clade corresponding to Fig. 2a. The ATPs for annual temperature range illustrate the conserved nature of tolerances within the swordtail clades and deep divergence within the platyfishes corresponding to the biogeographic division by the Trans-Mexican Volcanic Belt (TMVB). The dotted line in panel a denotes the separation north (above) and south (below) of the TMVB. The plot for precipitation in the driest quarter demonstrates a case where ATPs exhibited considerable overlap among the major clades and where some sub-clades diverged from their closest relatives (e.g., X. monticolus and X. mixei from the rest of the southern swordtails). Note that no such separation between species on either side of the TMVB can be drawn for panel b. Plots of ATP for all twelve variables can be found in Additional file 3
Fig. 5Observed disparity (solid line) was significantly lower than levels expected under a null model (dotted line) of unconstrained evolution for Bio4 and Bio7. The lack of disparity was associated with a significant (P < 0.05) signal of conservatism within the major clades corresponding to divergence ~5MYA between the southern swordtails and the rest of Xiphophorus. Most other variables, for example Bio5 and Bio15, exhibited zero or positive disparity through time with a variety of nodes exhibiting significant divergence within sub-clades corresponding to peaks in disparity in the plots. Gray shading denotes 95 % confidence limits