Research Article |
Corresponding author: Kowiyou Yessoufou ( kowiyouy@uj.ac.za ) Academic editor: Maria Elina Bichuette
© 2018 Mariam I. Adeoba, Kowiyou Yessoufou.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Adeoba MI, Yessoufou K (2018) Analysis of temporal diversification of African Cyprinidae (Teleostei, Cypriniformes). ZooKeys 806: 141-161. https://doi.org/10.3897/zookeys.806.25844
|
Recent evidence that freshwater fishes diversify faster than marine fishes signifies that the evolutionary history of biodiversity in freshwater system is of particular interest. Here, the evolutionary diversification events of African Cyprinidae, a freshwater fish family with wide geographic distribution, were reconstructed and analysed. The overall diversification rate of African Cyprinidae is 0.08 species per million year (when extinction rate is very high, i.e., ε = 0.9) and 0.11 species per million year (when ε = 0). This overall rate is lower than the rate reported for African Cichlids, suggesting that African freshwaters might be less conducive for a rapid diversification of Cyprinidae. However, the observed diversification events of African Cyprinidae occurred in the last 10 million years. The temporal pattern of these events follows a non-constant episodic birth-death model (Bayes Factor > 28) and the rate-constant model never outperformed any of the non-constant models tested. The fact that most diversification events occurred in the last 10 million years supports the pattern reported for Cyprinidae in other continent, e.g., Asia, perhaps pointing to concomitant diversification globally. However, the diversification events coincided with major geologic and paleo-climatic events in Africa, suggesting that geological and climatic events may have mediated the diversification patterns of Cyprinidae on the continent.
climate change, extinction, fish, geological rift, speciation
The standing biodiversity, i.e., the diversity of life that we are witnessing today, is the result of countless speciation and extinction events that have occurred in the past (
In macro-evolutionary studies, fossil records are believed to track better the temporal dynamic of species accumulation (
In the face of the limitations of fossil records for macro-evolutionary studies, DNA-based phylogenies provide a commonly used alternative approach (e.g.,
In the literature, the adaptive radiation is the most commonly reported scenario irrespective of the taxonomic groups studied (
However, the phylogenetic approach too has some limitations, with the most commonly cited limitation being the lack of complete DNA data for most lineages of interest. For example, in the vertebrate group, we only have DNA sequences (COI) for 67% of extant bird species (
In the present paper, Thomas et al.’s approach was used to assemble a complete phylogeny for the African Cyprinidae. A higher proportion of the African freshwater ichthyofauna belongs to the family Cyprinidae after the cichlids (
The recent approach of
To assemble the constraint tree, an XML file was generated using the COI sequences of the type 1 species, in the program BEAUTi, and this file was used to reconstruct a dated constraint tree based on a Bayesian MCMC approach implemented in the BEAST program. Next, the GTR + I + Γ model was selected as the best model of sequence evolution based on the Akaike information criterion evaluated using MODELTEST (
To integrate the types 2 and 3 species into the constraint tree, a simple taxon definition file that lists all three types of species along with their taxonomic information (here genus names) was formed. Using the constraint tree and the taxon definition file, an MrBayes input file was first generated as implemented in the R library PASTIS (
In the 10,000 resulting trees, the topology of species with DNA-sequences remains fixed, and the unsampled species (types 2 and 3) were assigned randomly within their genera. In an early study,
All analyses were done in R (
First, the net diversification rate (speciation minus extinction) was estimated using Magallón and Sanderson’s method (
Second, the observed net diversification rates were compared to those reported for Cichlids in various African lakes (Lake Malawi and Lake Victoria).
Third, to assess whether the diversification rates of African Cyprinidae have changed significantly through time, the gamma statistic (
To test if the value of gamma departs significantly from zero, the observed value of gamma was compared, using confidence interval, to the expected value of gamma under a constant-rate birth-death model. To this end, an MCMC (Markov chain Monte Carlo) simulation was performed to estimate the posterior probability distribution of gamma under this constant-rate model. Specifically, the constant-rate birth-death model was parameterized by drawing rate parameters from the joint posterior densities inferred from the phylogenetic tree of Cyprinidae. This parameterized model was used to simulate 1000 phylogenies, and these simulated phylogenies were used to calculate the expected value of gamma. Then, the observed value of gamma was compared to the posterior-predictive distribution of the expected value of gamma. If the observed value falls near the centre of the simulated distribution, then the diversification rates of African Cyprinidae are constant over time. If not, it means that the diversification of the African Cyprinidae has significantly changed over time (
In addition, the 1000 phylogenies that were simulated were used to reconstruct the posterior-predictive distribution of the corresponding LTT plots (1000 simulated LTT plots). The observed LTT plot for African Cyprinidae was then reconstructed and compared to the simulated LTT plots. If the observed LTT plot falls within the simulated LTT plots, this means that the diversification rate of African Cyprinidae has been constant over time. Otherwise, the diversification of African Cyprinidae has experienced some evolutionary shifts. Next, the observed LTT plot was also compared to the various scenarios predicted and summarized above in the Introduction (
Finally, to investigate whether African Cyprinidae experienced some mass extinctions events (if so, when), the CoMET [Compound Poisson Process (CPP) on Mass Extinction Time) approach was used (
The phylogenetic tree of African Cyprinidae is presented in a study that is currently under review and provided here as Suppl. material
Most diversification events occurred in the last 10 million years (my) (Figure
Diversification patterns of African Cyprinidae. A Histogram depicting the frequency of branching time on the phylogeny of African Cyprinidae; red colour shows the most frequent branching events which occurred the last 10 million years; blue colour indicates earlier branching events i.e., prior to 10 million years ago B lineage-through-time plot of the phylogeny of African Cyprinidae.
To assess whether there was a significant rate variation over the diversification period, the gamma statistic was first calculated (gamma = 6.23), and this positive gamma value (which is indicative of an increase diversification rate over time) is significantly different from the expected gamma under a rate-constant diversification model (Confidence Interval CI = 0.80–4.31; Figure
Comparative analysis of the fit of observed diversification pattern of African Cyprinidae to the constant-rate birth-death model using posterior-predictive simulation. Left panel (A): The posterior-predictive distribution for the gamma statistic; the dashed red lines indicate the 95% credible interval, and the “x” indicates the location of the value of the observed gamma statistic. Right panel (B): Lineage-through-time plot for the simulated phylogenies (grey) and for the phylogeny African Cyprinidae (bold black).
Given this evidence of non-constant diversification, the next step was to identify the best model for the diversification pattern of African Cyprinidae. The non-constant episodic birth-death model was decisively supported (see BF interpretation in Table
Finally, the overall evolutionary events that shaped the diversification of African Cyprinidae are summarized in Figure
Summary of all evolutionary events (A–F) reported in this study. This summary was presented using the Compound Poisson Process (CPP) on Mass Extinction Time (CoMET) model. Diversification hyperpriors are specified a priori and empirically. Result reported are for priors set a priori as this does not differ from when empirical priors were set.
Interpretation of Bayes factors following
Interpretations | BF(M0,M1) | ln(BF(M0,M1)) | log10(BF(M0,M1)) |
---|---|---|---|
Negative value is a support for model M1 | <1 | <0 | <0 |
Barely M0 worth mentioning | 1 to 3.2 | 0 to 1.16 | 0 to 0.5 |
Substantial support for model M0 | 3.2 to 10 | 1.16 to 2.3 | 0.5 to 1 |
Strong support for model M0 | 10 to 100 | 2.3 to 4.6 | 1 to 2 |
Decisive support for model M0 | >100 | >4.6 | >2 |
Bayes Factor (BF) values calculated for each pair of birth-death models tested on the phylogeny of African Cyprinidae. Abbreviations: ConstBD = constant-rate birth-death model; DecrBD = continuously variable-rate birth-death model; EpisodicBD = episodically variable-rate birth-death model, and; MassExtinctionBD = explicit mass-extinction birth-death model. The interpretations of these values should be done in comparison with the reference values in Table
Model0 | Model1 | BF |
---|---|---|
EpisodicBD | ConstBD | 28.635868 |
DecrBD | ConstBD | 20.886607 |
EpisodicBD | MassExtinctionBD | 20.276659 |
DecrBD | MassExtinctionBD | 12.527398 |
MassExtinctionBD | ConstBD | 8.359210 |
EpisodicBD | DecrBD | 7.749261 |
ConstBD | ConstBD | 0.000000 |
DecrBD | DecrBD | 0.000000 |
EpisodicBD | EpisodicBD | 0.000000 |
MassExtinctionBD | MassExtinctionBD | 0.000000 |
DecrBD | EpisodicBD | -7.749261 |
ConstBD | MassExtinctionBD | -8.359210 |
MassExtinctionBD | DecrBD | -12.527398 |
MassExtinctionBD | EpisodicBD | -20.276659 |
ConstBD | DecrBD | -20.886607 |
ConstBD | EpisodicBD | -28.635868 |
The subfamily Labeoninae is embedded within the subfamily Cyprininae on the phylogenetic tree presented in Suppl. material
Using this phylogenetic tree, we found that the diversification rate of African Cyprinidae, even in the absence of extinction, is 0.11 species/ Myr, which is far lower than the rates reported for the Cichlids in various Lakes on the same continent. For example, in the Lake Malawi,
All analyses performed in this study pointed to a non-constant diversification for African Cyprinidae. Specifically, the episodically variable-rate birth-death model was the best model found for the diversification pattern of African Cyprinidae. This model suggests that some decisive rate shifts have occurred during the speciation and extinction events of African Cyprinidae but, between two consecutive rate shifts, the diversification rate was constant (
The observed rate shifts can only be understood if analysed within the African context of geological and paleo-climatic events (
We used the example of the Great Lakes (Figure
In addition, there has been an extension and uplift concurrently with the rifting causing a back-ponding between the eastern and the western rifts, creating the Lake Victoria (
What’s more, the dynamic of the African paleoclimate over the last 10 million years (
Overall, the diversification rate of African Cyprinidae is much lower than that reported for African Cichlids. Most of diversification events of African Cyprinidae occurred in the last 10 million years following an episodic birth-death diversification model. This is in accord with what has been reported for Cyprinidae in the Asian freshwater (
In addition, 12 extinction events were observed during this diversification, supporting an earlier report that extinction event is frequent in freshwaters (
Nonetheless, although we do not foresee any reason why the marker used may blur the diversification pattern, it is important to remind us that the present study is based on a single gene marker and that “type 2” species outnumber the “type 1”. The study should therefore be regarded as a basis for further investigation. We call for more studies that should use more markers to revisit the diversification patterns reported in this study.
The South Africa’s National Research Foundation (NRF) is acknowledged for funding (Grant No: 103944; 277583, 277581 and 112113) and the University of Johannesburg (Grant No: 073450).
Phylogenetic tree used in the present analysis