Skip to main content
Download PDF

The strange case of East African annual fishes: aridification correlates with diversification for a savannah aquatic group?

BMC Evolutionary Biology volume 14, Article number: 210 (2014) Cite this article

Abstract

Background

Annual Nothobranchius fishes are distributed in East and Southern Africa and inhabit ephemeral pools filled during the monsoon season. Nothobranchius show extreme life-history adaptations: embryos survive by entering diapause and they are the vertebrates with the fastest maturation and the shortest lifespan. The distribution of Nothobranchius overlaps with the East Africa Rift System. The geological and paleoclimatic history of this region is known in detail: in particular, aridification of East Africa and expansion of grassland habitats started 8 Mya and three humid periods between 3 and 1 Mya are superimposed on the longer-term aridification. These climatic oscillations are thought to have shaped evolution of savannah African mammals. We reconstructed the phylogeny of Nothobranchius and dated the different stages of diversification in relation to these paleoclimatic events.

Results

We sequenced one mitochondrial locus and five nuclear loci in 63 specimens and obtained a robust phylogeny. Nothobranchius can be divided in four geographically separated clades whose boundaries largely correspond to the East Africa Rift system. Statistical analysis of dispersal and vicariance identifies a Nilo-Sudan origin with southwards dispersion and confirmed that these four clades are the result of vicariance events In the absence of fossil Nothobranchius, molecular clock was calibrated using more distant outgroups (secondary calibration). This method estimates the age of the Nothobranchius genus to be 8.3 (6.0 - 10.7) My and the separation of the four clades 4.8 (2.7-7.0) Mya. Diversification within the clades was estimated to have started ~3 Mya and most species pairs were estimated to have an age of 0.5-1 My.

Conclusions

The mechanism of Nothobranchius diversification was allopatric and driven by geographic isolation. We propose a scenario where diversification of Nothobranchius started in rough coincidence with aridification of East Africa, establishment of grassland habitats and the appearance of the typical African bovid fauna of the savannah. Although confidence intervals for the estimated ages of the four Nothobranchius clades are quite large, this scenario is compatible with the biology of extant Nothobranchius that are critically dependent on savannah habitats. Therefore, Nothobranchius diversification might have been shaped by the same paleoclimatic events that shaped African ungulate evolution.

Background

Fishes of the genus Nothobranchius are annual fishes distributed mostly in East Africa. They are adapted to the alternation of wet and dry seasons and inhabit temporary pools. As a special adaptation to cope with their environment, their eggs have a very hard chorion, are resistant to desiccation and hypoxia and undergo diapauses [1]–[3]. When the habitats desiccate, the adult fish die and the eggs survive encased in the clay during the dry season [4]. Durations of natural habitats can be extremely short: in N. furzeri, they were found to last on average 75 days in one season [5]. Under natural conditions, eggs hatch after the seasonal filling of pools by rainfall, though may occasionally be also filled by overflowing rivers [6]. Nothobranchius juveniles grow extremely fast and N. furzeri can reach sexual maturity in 17 days, the shortest time known for vertebrates [7].

Fishes of the genus Nothobranchius (N. rachovii, N. korthausae, N. guentheri and especially N. furzeri) are emerging as model organisms for genetic and biological studies of aging, as they are the shortest-lived vertebrates that can be cultured in the laboratory and show typical aging markers [8]–[17]. Different species show remarkable differences in captive longevity: from 3–6 months in N. furzeri[18] to 18 months in N. korthause[13]. These differences seem to correlate with the habitat conditions, with species from arid habitats (N. furzeri) showing faster growth and faster aging than species from humid habitats (N. korthause and N. guentheri). Differences in aging rates can evolve in relatively fast evolutionary times, as they are observed between closely-related species along an aridity cline [5] and some quantitative loci controlling lifespan were mapped [19].

The genus Nothobranchius currently includes 62 described taxa and several putative species awaiting formal description. These species are distinguished mainly based on the exceptionally diverse and vivid male nuptial colouration; there is relative morphological uniformity among species. The range of the species can be very small and studies in N. furzeri suggest a very limited dispersal with prominent isolation by distance and profound geographic structuring [20],[21]. Large genetic distances on a small geographical scale were detected also for the species pair N. kirki/ N. wattersi from Malawi [22]. The range of the genus Nothobranchius is limited almost exclusively to the savannah regions of Eastern and Southern Africa and comprises the area between coastal regions in Kwazulu-Natal in the South to Somalia in the North. Nothobranchius are also found in the highland plateaus in Zambia, the rift valley, the White Nile region and one population is known from Lake Chad in Central Africa [23]. The hotspot of Nothobranchius biodiversity is in the coast of East Africa with 30 of the 62 described species located between Northern Mozambique and Kenya and 10 different species (often with very limited range) within a 200 km radius from Dar-es-Salaam [23]. It is however unclear, whether this hotspot corresponds to the ancestral area of the genus, or whether the species richness of this region is the result of a later dispersal, followed by in situ diversification and speciation.

The distribution of Nothobranchius largely overlaps with the East African Rift System, a region known to have undergone extensive topographic and climatic remodelling in the Miocene [24] that supposedly caused extensive radiations including the hominoid lineage. There is limited information as to how these events influenced African ichthyofauna and many studies concentrated on the (recent) radiations of cichlid fishes in the rift lakes that is characterized by an early burst of diversification during Plio-Pleistocene (5.3-0.1 Million years ago, depending on the species flock) with subsequent reduced speciation rate due to reduced ecological opportunities [25]. On the other hand, the diversification of the genus Synodontis, a taxon with panafrican distribution, started in the Miocene (23.3-5.3 Million years ago) in coincidence with major rifting events [26] and shows a constant diversification rate [27]. Annual fishes inhabit savannah pools and may be influenced by the same abiotic factors that shaped diversification of savannah tetrapods. It has been proposed that diversification of African ungulates was strongly influenced by the climatic fluctuations causing cyclic aridification [28]. Since Nothobranchius rely on savannah habitats, it is possible that diversification of this taxon occurred during arid epoch because of savannah habitats expansion.

Motivation for the present study was to reconstruct a robust phylogeny of the genus Nothobranchius, to identify the ancestral area and the patterns of diversification, to investigate possible correlates between separation of different lineages and known geomorphological and paleoclimatic transitions and, specifically, to test whether the diversification rate was constant during the evolution. Finally, we aim to characterize whether adaptation to harsh climate, i.e. short lifespan, is a basal or derived life-history trait in the evolution of the genus.

Results

Phylogeny reconstruction

We analyzed a total of 63 specimens from 46 valid species and four putative species, including three outgroups from West Africa. We used a partial sequence of the mitochondrial locus cytochrome oxidase subunit I (COI), and partial sequences of the nuclear genes: Glycin transporter 1 (GLYT1), myosin heavy chain 6 (MYH6), SH3 and PX domain containing 3 (SH3PX3), G-protein coupled receptor 85 (GPR85, also known as SREB2) and zic family member 1 (ZIC1)[29] producing a total concatenated sequence of 3847 bp. We found that the substitution rate of the third codon position of the COI gene is saturated, and we excluded it from the phylogenetic analyses (Additional file 1: Figure S1). None of the studied loci showed individually enough phylogenetic signal (see results of the single-gene analyses in Additional file 2: Figure S2), but the concatenated dataset provided a well-resolved and highly supported phylogeny of the genus Nothobranchius (Figure 1). Within the genus Nothobranchius, four phylogenetic clades were found by the Bayesian approach. The analysis further revealed that Pronothobranchius kiyawensis is the sister taxon to Nothobranchius (Bayesian posterior probability, BPP = 1) and Fundulosoma thierry is a more distant outgroup. Nothobranchius is clearly monophyletic with BPP = 1 and the basalmost Nothobranchius clade is a Northern clade that consists of the species N. virgatus from White Nile region and the N. microlepis species complex from Somalia/Northern Kenya, although with moderate support (BPP = 0.69).

Figure 1
figure 1

Phylogenetic hypothesis for Nothobranchius. Bayesian phylogenetic tree of the annual killifish genus Nothobranchius based on concatenation of partial coding sequences of six genes (COI, GLYT1, MYH6, SH3PX3, GPR85 and ZIC1) and fully partitioned dataset. Results of MrBayes run with posterior probabilities shown in the nodes. Four main geographic clades highlighted by the vertical bars.

Full size image

All other species of Nothobranchius are grouped in three highly-supported clades that are strictly separated by geographic barriers (Figure 1): 1) the Southern clade contains all species found south of the Zambezi and is sister to the rest of Nothobranchius. Two species-rich sister clades – i.e. 2) the Inland- and 3) the Coastal clades contain all species from the inland plateaus, and all species from the coastal habitats North of Zambezi, respectively (Figure 1). The Southern clade (BPP = 1) comprises the N. orthonotus species complex and the N. rachovii species complex.

The Inland- and Coastal-clades represent sister groups together with the large predatory species N. ocellatus (BPP = 1) that appears as an isolated basal form to these two clades. The Coastal clade (BPP = 0.99) shows a clear structure with two basal isolated species: N. flammicomantis and N. patrizii, two species pairs: N. wattersi/N. kirki (BPP = 1) from the Lake Malawi system [22] and N. fuscotaeniatus/N. janpapi from coastal Tanzania (BP = 0.96). Further, a strongly supported clade (BPP = 1) contains 15 species and some putative species from the Southern edge of distribution of the Coastal clade. A separate lineage within this clade is formed by the N. kilomberoensis/N. niassa species pair (BPP = 0.81) from Northern Mozambique and Southern Tanzania [30]. Then, two major, strongly-supported groups are recognized: one includes larger and more elongated species (e.g. N. melanospilus species complex and N. jubbi and N. interruptus from Somalia and Kenya; [31]) and the other group (BPP = 1) includes small species from coastal Tanzania and the islands of Mafia and Zanzibar. The distribution of these two groups overlaps to a large extent. The Inland clade (BPP = 1) is geographically-structured and comprises the well-differentiated N. seegersi species complex (BPP = 0.99) that spans from Northern Lake Malawi to Southern Lake Victoria, and the N. taeniopygius species complex, that includes the very broadly distributed species N. rubroreticulatus and a group of species from Kafue basin and neighboring regions (N. kafuensis species complex).

The four Nothobranchius phylogenetic clades show strict geographic segregation. The most basal taxa live in the Northern edge of the genus range (Northern clade), the Southern clade is geographically isolated from the rest of species and the two species-rich Coastal and Inland clades are distributed in the middle of the range. There is almost no overlap in the range of these clades, except for some limited examples in the Northern edges of the range. In the Kenya coastal drainages, there is an overlap between the Northern (basal) clade and the Coastal clade: a population of N. bojiensis occurs in sympatry (syntopy) with one population of N. jubbi. In the White Nile region, there is an overlap between the Northern (basal) clade and the Inland Clade: a population of N. virgatus occurs close to N. rubroreticulatus.

Biogeographical analysis

Statistical Dispersal-Vicariance Analysis (S-DIVA) on basis of 10 ecoregions (Figure 2) demonstrated that East African coast (region A – Coastal East Africa – coast) and Kenya (region E – Kenya coastal drainages) represent the ancestral area for all the extant Nothobranchius species, from where the ancestors colonized the rest of the recent distribution area (Figure 2).

Figure 2
figure 2

Results of biogeographic analysis. Historical biogeography reconstruction using the Statistical Dispersal-Vicariance Analysis (S-DiVA) A) Topology of the bayesian phylogenetic tree with mapped distribution area and dispersal & vicariance events. Age of nodes with vicariant event corresponds to the timeline (after BEAST analysis). A-J represents the biogeographic regions used for S-DiVA analysis based following with slight modifications) the proposed African freshwater ecoregion (Abell et al., [32]). See the unit description in the legend on the right side of the figure, as well as on the schematic Africa map. B) The schematic graphics of the four Nothobranchius clades and their allopatric distribution. C) The proposed colonization events older than 4 Mya (bold line) and younger than 4 Mya (dashed line).

Full size image

Thirteen dispersal (=colonization) events mostly followed by the vicariance were detected within the evolutionary history of Nothobranchius and provide explanation of the contemporary distribution pattern (Figure 2).

The first vicariance event occurred in the ancestral area (region A + E) between the Northern (region E) and Eastern coastal (region A) ancestors giving rise to the separate basal Northern clade and followed by the colonization (=dispersal) from the coast (region A) to the South (region F). After that, vicariance caused the separation of the Southern clade from the coastal forms. Later, another colonization took place from the coast (region A) towards the inland part of the continent, reaching the Inland Plateau first (region B) and following to the other inland habitats from there, suggesting a scenario with a single colonization wave to the Kafue and Zambezi river systems (region I), two waves to the Malagarasi system (region J), and one colonization even far Northeast to the White Nile region and lake Chad (region H; N. rubroreticulatus). (See Figure 2A, C). Another independent colonization from the coastal region (region A) to the rivers of Lake Malawi basin (region G) and back to the Northern coastal region into Kenya (region E) gave rise to secondary contact with the basal Nothobranchius clade and cases of recent sympatry. Finally, the most recent colonizations happened from the coastal region (region A) to the islands of Zanzibar (N. guentheri, N. melanopilus) and Mafia (N. korthausae, N. lucius; both islands region C), and of the N. melanospilus lineage to the south along the coast into Northern Mozambique (region D).

Molecular clock dating and test for shifts in diversification rate

The dating of diversification events was estimated using relaxed molecular clock analysis. In the absence of suitable fossils, we adopted a secondary calibration strategy based on the most recent dated teleost phylogeny [33] that includes several members of Cyprinodontiformes, but not Nothobranchius. We first performed a molecular clock analysis that includes members of Cyprinodontiformes for which estimated ages are available and a small subset of Nothobranchius species representative of the four different clades (Additional file 3: Figure S3) and estimated the age of Nothobranchius genus to be 8.32 (CI 5.92 – 10.75) My. We then used this value as a secondary calibration for Nothobranchius-focused analysis. Based on the results, the separation of the Southern clade was dated 5.99 (CI 3.38-8.48) Mya and the separation of Coastal and Inland clades was dated 4.85 (CI 2.76-7.00) Mya. Between 3 and 4 Mya, diversification occurred in all three clades with 1) separation of the N. rachovii and N. orthonotus clades in the Southern clade, 2) divergence of all basal isolated clades in the Coastal clade followed by divergences of the N. melanospilus and N. guentheri species complex, and 3) separation of the isolated N. steinforti from all other taxa of the Inland clade.

The final step of diversification was the divergence of several pairs of closely related sister species (N. rachovii and N. pienaari, N. furzeri and N. kadleci, N. oestergaardi and N. kafuensis, N. ugandensis and N. sp. “Lake Victoria”, N. hassoni and N. sp. “Lubumbashi”, N. kirki and N. wattersi, N. melanospilus and N. lucius, N. ruudwildekampi and N. albimarginatus) that occurred between ~ 0.5 and ~ 1 Mya. (Figure 3). We specifically tested for deviation from constant rate of cladogenesis by analysing lineage through time using TreePar [34] but could not detect deviations from a constant cladogenesis rate (Additional file 4: Table S3).

Figure 3
figure 3

Calibrated phylogenetic tree. Molecular clock tree reconstructed by BEAST analysis. The tree was calibrated by the secondary calibration of 8.32 (5.92 – 10.75) Mya for the genus Nothobranchius. Time axis shows the age in mya. The table embedded within the image reports the age estimates of individual nodes in the molecular-clock tree, where vicariance or dispersal occured. Results from the analysis in BEAST software using one individual per species.

Full size image

Discussion

In this study, we report the first comprehensive phylogenetic investigation of the genus Nothobranchius. We used extensive taxon sampling and combination of mitochondrial- and nuclear markers along with statistical analysis of dispersal and vicariance events and diversification rate to reconstruct the biogeographic history of Nothobranchius. In the absence of any paleontological calibration points, we also provided molecular-clock dating based on secondary calibration.

The main results are a robust phylogeny of the genus Nothobranchius and a tentative dating for diversification events. Four robust geographic clades were recovered: a basal Northern clade, a Southern clade (distributed south of the Zambezi River), an Inland clade (distributed in the East African plateau) and a Costal clade (corresponding to East African coast). As all the four clades have almost exclusively allopatric distribution (with only small overlap by Coastal and Northern clade in coastal Kenya, due to secondary contact) and, because there are no examples of sister species with overlapping ranges and many examples of sister species with neighboring ranges, we conclude that the main mechanism of diversification in Nothobranchius was allopatric speciation driven by geographic isolation.

Some results were unexpected and joined in pairs species with little morphological similarities: e. g. N. virgatus and the N. microlepis species complex or N. fuscotaeniatus with N. janpapi. In general, however, the relationships are consistent with previous morphological studies [23]. In case of N. virgatus + N. microlepis, their sister position could be explained by the artefact of the long-branch attraction although we followed the instruction to select correct model of evolution. The signal comes mostly from the COI gene (Additional file 2: Figure S2), in the more conserved nuclear genes, such sister position has not been observed. However, if not sister, these lineages belong to the base of the tree.

We tried to provide a timing for these biogeographic events. Unfortunately, there is no fossil of Nothobranchius available, so the fossil calibration was not the option for the present study. Further, we considered the predicted substitution rate of the COI gene. The rate could have been applied from the lifebearers (family Goodeidae), phylogenetically not very distant group from Nothobranchius (both belonging to the order Cyprinodontiformes), where the rate has been calculated as 0.0045 substitution per site per My (s/s/My: [35]) However, annual fishes have evolved a peculiar mitochondrial physiology in order to cope with anoxia during diapause when mitochondria are not poised to produce ATP, but rather to shuttle carbon and electrons through the Kreb’s cycle while minimizing the generation of a proton motive force [36]. The evolutionary constraints on the protein-coding part of the mitochondrial genome (including the COI) differ between annual- and non-annual Cyprinodontiformes. Furthermore, even within lifebearers, in the genus Poecilia, the mutation rate was found to be three-fold slower (0.00145; [37]). Finally, COI shows saturation in our dataset and is therefore suboptimal as molecular clock. Thus, there is no reliable substitution rate applicable to the genus Nothobranchius. Therefore, we had to use a secondary calibration strategy for the molecular clock using as calibration more distant outgroup taxa within Cyprinodontiformes [33].

The results of this analysis have to be dealt with caution, but are, at present, the only option available. The separation of the four main clades is the result of vicariance events. Using secondary calibration, it is estimated that the age of the Nothobranchius genus corresponds to the late Miocene, but diversification within the Inland and Costal clades resulted from several later dispersal and vicariance events in the Pliocene and early Pleistocene. The extant species of Nothobranchius are estimated to have an age of 0.5-1 My and therefore climatic oscillations during the late Pliocene likely resulted in intraspecific diversification rather than speciation [20]. Nothobranchius fishes seem to represent older assemblage than other fish taxa such as lacustrine cichlids or sticklebacks that are currently model organisms to investigate the genetic architecture of diversification [25],[38]–[42] and their timing of diversification seems to be more in pace with that of the slower-evolving African teleost genus Synodontis[27].

Phylogeographic view of Nothobranchius: the role of tectonics and paleoclimate

Our analysis clearly supports the monophyly of Nothobranchius. The sister taxa of Nothobranchius are found in West Africa, where also many non-annual (genus Aphyosemion) and facultative-annual (genus Fundulopanchax) species of Cyprinodontiformes are found [43]. It is trivial that the most recent ancestor of Nothobranchius originated in West Africa, but it is surprising the absence of Nothobranchius from Central Africa. Probably, the alternation of African climate resulted in periods when annual fish habitats were restricted causing thereby potential extinction of the basalmost forms in Central Africa and the presence of the equatorial belt of pluvial forest restricts current Nothobranchius distribution. N. rubroreticulatus, the only Nothobranchius species found in Central Africa [23], is a member of the Inland Clade and showed a secondary dispersion with a peculiar disjunct distribution with one population in Lake Chad and one in the White Nile.

We tried to put the reconstruction of Nothobranchius phylography in the frame of evolution of African topography, climate and vegetation in the Neogene. Five events in the evolution of East Africa are of particular relevance to the Nothobranchius diversification: i) the formation of the East Africa Rift System and the uplifting of Ethiopian plateau ~20 Mya followed by ii) the uplift of the East African plateau ~13 Mya iii) the so-called Miocene climate optimum (11–17 Mya) characterized by high precipitations [44] followed by iv) aridification of East Africa starting ~ 8 Mya and ripe by 5 Mya with progressive restriction of forest and expansion of savannah habitat [45],[46] that was followed by v) alternation of more arid and more humid epochs [24].

We propose a scenario of Nothobranchius diversification that results from the combination of molecular clock- and biogeographic analysis. The ancestor of Nothobranchius dispersed from West Africa through Central Africa and the Nilo-Sudan region and then Southwards and inwards. The age of Nothobranchius was estimated in 8.32 (5.92 – 10.75) My. This epoch is clearly later than the formation of the East African Rift and yet the first phase of Nothobranchius diversification is characterized by vicariances along lines that roughly correspond to the East African Rift System. We cannot offer an explanation for this discrepancy, but wish to remark that also in cichlid fishes there is a discrepancy between geological events and molecular clock analysis: the estimated age of the most common ancestor of the African and Southamerican cichlid clades is much younger than Gondwana separation [47]. The first vicariance separated the two species of the basal Northern clade from the common ancestor of all other lineages in the Rovuma Plate with Southwards dispersion and further separation of the N. microlepis species group in the Somalian plate from N. virgatus in the Nubian Plate. The second vicariance event separated the Southern clade and we dated this divergence ~ 6 Mya (CI 3.4-8.5). It should be noted that there is also an apparent lack of extant Nothobranchius between Northern Mozambique and the Malawi Rift, which corresponds to the predicted colonization route by ancestors of the Southern Clade. This area is currently covered by forest [48] and represents a barrier for annual savannah fishes. It is interesting to mention that this same region represents a suture zone for some savannah mammals [28] (see next paragraph).

A third inwards dispersion resulted in inland colonization followed by a third vicariance event that separated the species from the East African plateau resulting in the separation of the Inland and Coastal clades along the Tanzanian section of the East African Rift. We dated this separation as 4.8 My (CI 2.7-7.0). The relatively large confidence intervals of these events make it difficult to pinpoint specific climatic changes, but two general conclusions can be drawn: i) origin of Nothobranchius and early diversification overlap with aridification of East Africa and appearance of grassland habitats [49], ii) the vicariance lines of the different clades correspond largely to the sections of the East African Rift system but appear to be more recent than initial rifting. It is well established that an alternation of wet and dry periods characterized at least the last 3 million years of East Africa as evidenced by the repeated filling and drying of the Rift Valley Lakes [24]. In particular, three humid periods at 2.7 to 2.5 million years ago (Mya), 1.9 to 1.7 Mya, and 1.1 to 0.9 Mya, superimposed on the longerterm aridification of East Africa, were detected [24]. It is logical to speculate that these climatic oscillations shaped the timing of Nothobranchius diversification with dispersals (and diversification) occurring during arid periods and stasis during humid periods. It should be noticed that the end of the last humid period described by Trauth et al. [24] ~ 1 Mya corresponds to the estimated diversification of many pairs of Nothobranchius sisters species (N. oestergaardi and N. kafuensis, N. ugandensis and N. sp. “Lake Victoria”, N. hassoni and N. sp. “Lubumbashi”, N. ruudwildekampi and N. albimarginatus and differentiation within the N. melanospilus clade). This period also corresponds to the middle Pleistocene transition with the emergence of low-frequency, high-amplitude, quasi-periodic (~100-kyr) glacial variability [50].

With all the cautions needed given the large confidence intervals, it seems therefore that the alternation of glacial and interglacial periods during the late Pleistocene did not lead to speciation, but rather to geographic substructuring of extant species due to isolation by distance with little morphological diversification, as exemplified by the N. furzeri species complex [20].

Comparison with other taxa

A key issue in phylogeography and biogeography is the concordance of geographic patterns across taxa. Taxa showing concordant phylogeographic patterns are likely to be shaped by the same biotic or abiotic factors. In this respect, two studies are relevant to Nothobranchius: i) continent-wide investigations of freshwater fishes that were likely shaped by tectonics, and ii) studies of savannah vertebrates that were likely shaped by aridification and expansion of grassland. One of the few available studies on African riverine fish with extensive taxonomic and geographic sampling is focused on the genus Synodontis[27]. The genus Synodontis is inferred to have originated in the broad region of West Africa and the clade that gave rise to East African colonization is specifically associated with Nilo-Sudan region with Southward dispersion. Dating in this study is based on the fossil record and diversification of Synodontis seems to be more ancient than Nothobranchius early vicariances. The timing of the divergence between the Nilo-Sudan and East-African Synodontis clades is compatible with the upsurge of the Ethiopian plateau (95% HPD 18.1-26.7 Ma). Diversification of the East African biogeographic clade (95% HPD: 8.6-14.3 Ma) is compatible with uplift of the Central Plateau.

On a larger phylogenetic distance, the African ungulates (especially bovids) represent a taxon with comprehensive biogeographic information available. The emergence of this group is temporally linked to the emergence of grassland habitats during the Pliocene and appearance of many bovid taxa in the fossil record is dated around 3 Mya [51],[52]. This timing is consistent with the median estimated age of the three main Nothobranchius clades (Southern clade: 3.7 My CI = 1.8-5.6, Inland clade: 3.30 My CI = 1.6-5.0, Costal clade: 4.4 My CI = 2.4- 6.5). Ungulates and killifishes share the dependence on savannah habitats and it is natural to speculate that their initial diversification occurred in the same epochs. However, it is believed that the alternation of pluvial cycles was the driving force in diversification of large herbivores in late Pleistocene. As detailed above, Nothobranchius species seems to be already differentiated during this era and climatic alternations likely resulted in their strong geographic substructing [20].

There is concordance between Nothobranchius and ungulate biogeographic patterns. Several species show subcontinent-wide distribution and clear genetic structuring. Further evidence shows that the separation between a Nilo-Sudan and East-South African lineages is a robust signal observed not only in Nothobranchius or ungulates, but also across other studied taxa such as ostrich [53] or white-tailed mongoose [54]. This genetic structuring is likely due to the equatorial forest belt that represents a barrier to dispersal. Further, for some species (Common eland, Common warthog, Hartebeest, Sable; reviewed in [28]) a suture zone is observed between an East African and a South African genetic group(s) that broadly corresponds to the border between the Southern- and East African clades in Nothobranchius. The existence of such suture zone is indicative for existence of separate refugia during the pluvial periods followed by secondary contacts after savannah expansion during arid periods in Pleistocene.

Therefore, the extensive studies on African ungulates reveal that observed the borders of the Nothobranchius clades (this study), which were likely established between the late Miocene and early Pleistocene, persisted (or reappeared) as barriers that have hindered dispersal of savannah mammals up to the present.

In summary, in light of the broad biogeographic pattern of Nothobranchius, molecular clock analysis and the dependence of extant Nothobranchius on savannah habitats, we propose a scenario where aridification promoted diversification of this aquatic taxon.

Basal and derived forms within the genus Nothobranchius

The comprehensive phylogenetic hypothesis produced within this study allows us also to interpret the ancestral and derived states either in morphological or in the life-history traits. Fishes from the genus Nothobranchius show relative morphological uniformity, with the exception of three lineages that can be immediately separated by their morphology. First, the N. microlepis species complex is characterized by very small scales, drab color, small eyes and a different mating behaviour. Second, N. ocellatus is characterized by a very large size, elongated shape and the typical habitus of a lurking predator. And third, the subgenus Aphyobranchius, of which we analyzed the species N. janpapi, is characterized by small size and the typical shape of a surface-oriented fish [23]. Our analysis groups N. microlepis species complex with N. virgatus although with moderate support and we are unable to identify the ancestral morphotype. For the other two lineages, we can conclude that they represent derived forms that likely evolved to enter novel ecological/trophic niches. Most of the Nothobranchius species typically feed on invertebrates that are present in the water column [55], while N. ocellatus is the only ichthyophagous Nothobranchius and the subgenus Aphyobranchius have the typical morphology of surface-prey oriented fish. Suprisingly, Aphyobranchius are a sister taxon to N. fuscotaeniatus, with which they share only little morphological similarity.

A substantial variation in the climatic conditions is observed across Nothobranchius habitats. Although all Nothobranchius are annual fish, some species are found in semi-arid habitats with as little as 400 mm/year and a prolonged dry season, while others are found in habitats with two rainy seasons with longer-lasting habitats (Watters [31]). The duration of the habitats sets a limit to maximum survival and drives evolution of life-history traits: fish from arid habitats (such as N. furzeri) show longer diapause, rapid growth and short lifespan, while fish from humid habitats (such as N. korthause) show shorter diapauses, slower growth and longer lifespan [13]. Climatic differences were shown to induce parallel evolution of aging rate in pairs of closely related species of the Southern clade [5]. Our results show that all species of the basal Northern clade are found in arid environments such as Somalia and the White Nile region in Sudan and are therefore short-lived in their natural habitat (Figure 1). The Southern clade also contains species found in the arid bushveld of Southern Mozambique that are short-lived both in the wild and in captivity [5]. All species from the coastal clade, on the other hand, originate from humid habitats and are expected to be longer-lived, as confirmed in captivity for N. korthause[13] and N. guentheri[12]. This suggests that the basal form of Nothobranchius was likely adapted to an arid environment, while the longer-lived forms are representatives of a derived life-history trait. This is consistent with a more general picture of the evolution of diapause and annualism in Cyprinodontiformes [56] that demonstrated how annualism is an ancestral trait that was lost three times and regained once [56]. This suggests that such life-history adaptations can rapidly undergo evolutionary changes when the selective pressure of arid environment is relaxed.

Conclusions

We conclude that the Nothobranchius genus seems to be an old assemblage and origin of the genus was estimated during the late Miocene. Diversification of Nothobranchius was characterized by West-African origin, a transition through the Nilo-Sudan area and a Southwards dispersion. The main four Nothobranchius clades were established by vicariance events along lines that roughly correspond to the East African Rift system. Diversification was estimated in rough coincidence with the progression of East Africa aridification. Therefore, Nothobranchius phylogenetic history seems to have been influenced by geological events that shaped evolution also of other fish assemblages, but also by paleoclimatic transitions (aridification) that shaped evolution of savannah tetrapods.

Methods

We performed phylogenetic analysis based on an extensive taxonomic sampling of the genus Nothobranchius, and on mitochondrial (COI) and five nuclear loci (GLYT1, MYH6, SH3PX3, GPR85 and ZIC1) originally selected by [29] and are now widely used for fish phylogenetics [33].

Taxon sampling and DNA-extraction

The genus Nothobranchius is distributed over a large part of East and Southern Africa, sometimes in regions that are of difficult access for geopolitical reasons (e.g. Somalia). Since extensive sampling of the entire distribution range was not a feasible option, we took advantage of a large community of specialized and highly-dedicated breeders that have as mission the maintenance of pure genetic strains, the vast majority of these captive strains are endowed with a collection code that identifies the original collection locality [4]. These dedicated hobbyists are also responsible for almost all formal descriptions of Nothobranchius species. The samples used in this study, all originate from captive specimens that were either part of one of the author’s (AD) private collection or were provided by specialized breeders who are expert in Nothobranchius taxonomy (see Acknowledgments). In all cases, the tissue was preserved in 98% ethanol. A summary of the specimens with collection codes, the locality and (where available) the GPS coordinates is provided in Additional file 5: Table S1. The samples are deposited in the “Museo di Storia Naturale e del Territorio” of the University of Pisa and the sample numbers are indicated in Additional file 5: Table S1. For DNA-extraction fin clips were used as previously described [21].

Primers used in the study

Several Nothobranchius-specific primers were designed within this study. First, for the COI gene, first set of primers was designed by aligning the complete sequence of COI from N. furzeri (NC_011814.1) with that of two other Cyprinodontiformes, Kryptolebias marmoratus (NC_003290.1) and Cyprinodon rubrofluvitalis (EF442803.2), in order to identify conserved regions. As these primers often failed to amplify the COI gene of Nothobranchius, a second set of primers was designed by aligning the COI sequences of N. furzeri, N. rachovii, N. pienaari and F. thierryi obtained from the previous set of primers in order to obtain Nothobranchius-specific primers.

The primers used for amplifying the nuclear marker genes with nested strategy were described [29]. Sometimes these primer sets failed to amplify the genes, too. Alignments of the sequences obtained from N. furzeri, N. rachovii, N. korthausae and N. kuhntae were used for designing a second set of Nothobranchius-specific primers for the second PCR-reaction. The list of primers, as well as the position of COI primers along the gene is shown in Additional file 6: Table S2.

PCR-reactions and sequencing

PCRs were performed at 25 μl final volume, each with 2.5 μl 10x PCR buffer; 1.5 μl 25 mM MgCl2; 0.5 μl each of 10 mM dNTP mix, 10 μM forward, 10 μM reverse primers, 0.25 μl 5 U/μl Taq Polymerase (Qiagen) and 100-150 ng of genomic DNA using an EPPENDORF thermocycler (Mastercycler ep gradient s). The PCR-program for primers 22f-23r and 20f-3r was: 94°C for 120’s followed by 10 cycles with a touchdown (94°C for 30 s, touchdown from 55°C to 50°C, 0.5°C decrease at every step) and 30°Cycles (94°C for 30 s, 50°C for 30 s, 72°C for 90 s), and a final 180’s at 72°C. For primers 19f-21r, the same program was used except that touchdown was performed from 51°C to 46°C and the annealing temperature was 46°C. For primers 132f and 136r, the following program was used: 94°C for 120’s, 35°Cycles (94°C for 30 s, 57°C for 30 s and 72°C for 30 s) and 72°C for 60 s. Sequencing was performed using the BigDye Terminator v3.1 Cycle Sequencing Kit (ABI; Weiterstadt, Germany), followed by separation on ABI 3730xl capillary sequencers. After quality clipping, sequences were assembled based on overlaps using the GAP4 module of the Staden Sequence Analysis Package as described previously [57].

Phylogenetic and molecular clock analysis

Sequences of the studied markers were then aligned using ClustalW as implemented in the BioEdit software package http://www.mbio.ncsu.edu/bioedit/bioedit.html). Data sets for particular genes were analyzed separately, as well as we performed the overall analysis of the concatenated data set including all the studied markers. All the single-gene alignments as well as the concatenated alignment were exported to the nexus format for following phylogenetic analyses. Mitochondrial gene (COI) was tested on saturation by plotting the genetic distance under the selected model (GTR + I + gamma) against the uncorrected p-distance for each codon positions. The deviation from the linear ratio in the plot for the third codon position was visually evaluated.

Bayesian approach was selected to reconstruct phylogeny using MrBayes 3.1 software [58]. Parameters for the analysis were set based on the suggested models of evolution by jModeltest [59]. The data set was partitioned by loci, and additionally the COI gene was partitioned by codon position. The mcmc analyses were then set to run for 5 million generations for the single gene data sets, and 10 million generations in case of the concatenated data set, respectively. The parameters were unlinked for each gene partition within the concatenated data set to be considered independently.

We further performed the relaxed Molecular clock analysis in BEAST software [60] under the uncorrelated log-normal clock settings, birth-death model and 10 million generations in two independent runs. Data set was partitioned by loci, and by codon position in COI. Only one individual per species has been used to build such tree to avoid artefactual signal coming from intraspecific relationships. Because no fossil record is available for Nothobranchius, we used the secondary calibration approach. First we performed an additional molecular-clock analysis based on a restricted subset of Nothobranchius (10 species across the phylogeny) and including seven representatives from families Cyprinodontidae, Poecilidae, Fundulidae and Aplocheilidae, for which sequences of the same markers used herein are available [33]. Only the nuclear genes were used to build this supportive tree (the COI marker in Near et al., [33] covered different part of a gene than this study) and we calibrated this “Cyprinodontiformes” tree by the known node ages from the large-scale fish phylogeny calibrated by 37 fossils [33].

We then estimated the age of the Nothobranchius genus and used it as a secondary calibration for the Nothobranchius tree. Five calibration points were used for the “Cyprinodontiformes” analysis: Poeciliopsis + Gambusia split in 13.5 mya, Cyprinodon + Jordanella split in 21 Mya, Fundulus + Lucania split in 17.5 mya, (Poeciliopsis, Gambusia) + (Fundulus, Lucania) split in 44.5 Mya and (Cyprinodon, Jordanella) + (Poeciliopsis, Gambusia, Fundulus, Lucania) split in 51 Mya. The calibration point for the Nothobranchius molecular clock was set to 8.32 mya for the first split within the genus. For both molecular-clock analyses we used the normal distribution to set the calibration prior, with the mean at the estimated age, and the 95% interval included following the range provided by Near et al. [33].

Biogeographic analysis

We performed biogeographic analysis to describe the distribution and colonization scenarios within the genus Nothobranchius. We used the Statistical Dispersal Vicariance analysis (SDiVA; [61] for the ancestral area reconstruction and for detection of the possible dispersal events. The t-files from the Bayesian analyses were used as input trees for the statistical part of the analysis (support value for the reconstructed ancestral area for the particular nodes).

The distribution matrix was given based on the presence of the species in the biogeographic region (or origin of the sample in some cases). The biogeographic scenario was obtained by mapping of the biogeographic areas (in S-DiVA) on the fully resolved phylogenetic tree originating from the MrBayes analysis (and produced by command: sumt contype = allcompat).

The biogeographic areas for the purpose of the analysis were mainly defined using the ecoregions proposed by [32] with some modifications. First, the largest ecoregion, “Coastal East Africa”, was divided into four parts – the coast, inland, island and North as most of the Nothobranchius species are distributed herein and our goal was to describe the more detailed view of the distribution patterns. Second, some adjacent ecoregions were joined into one area because they were not in the center of our interest, or there were represented only by few samples in our data set. Such reshuffling of these areas did not change any interpretation of the results. The areas (ecoregions) considered within this study were as follows (letter corresponds to the code used in analysis; see also map in Figure 2): A) Coastal East Africa (corresponds to ecoregion 564) – coast B) Coastal East Africa (ecoregion 564) – inland C) Coastal East Africa (ecoregion 564) – island D) Coastal East Africa (ecoregion 564) – Northern Mozambique E) Kenya Coastal drainages (ecoregion 567) F) Lower Zambezi (ecoregion 561 and 576) G) Lake Malawi basin (ecoregion 559) H) Western + Central Africa (ecoregions 506, 515, 520 and 522) I) Zambezi/Kafue/lakes (ecoregions 544, 557 and 558) J) Malagarasi (ecoregion 543). The maximum number of regions allowed in the ancestral area was set to three. This corresponds to the biological relevance, as Nothobranchius are species with very small areas having restricted ability to disperse. Therefore, allowing wider distribution in analysis would not have support in the natural history of the taxon. Further, the species with the widest recent distribution is N. melanospilus occurring in only two regions (A and C) and such constraint has been previously justified [62]. In general, Nothobranchius species have very limited distribution ranges linked to the alluvium of a single fluvial system [23] and there is no species distributed widely across the most of the regions.

Diversification rate analysis

We performed test for potential shifts in diversification rate during evolution of the genus Nothobranchius. We used likelihood-based approach in TreePar [34] package for R, which tests for significant shifts in diversification rate based on the given tree topology and node ages. The ultrametric tree from the BEAST analysis (one individual per species) was used as input data for the analysis.

Availability of supporting data section

The data set supporting the results of this article is available in GeneBankAccession numbers KJ179270-KJ179615 (see also Additional file 5: Table S1).

Ethics

This work did not involve living animals. The Fritz Lipmann Istitute has a general authorization for Nothobranchius research released by the local authority in the State of Thuringia (Veterinär- und Lebensmittelüberwachungsamt). The Scuola Normale Superiore has a general authorization for Nothobranchius research released from the Italian Ministry of Health (96/2003-A).

Authors’ contributions

AD; DNA extraction, PCR, intial data assessment, figure preparation, paper writing. ZM; phylogenetic, biogeographic and diversification rate analysis, figure preparation, paper writing. KR; supervision and analysis of primary sequencing data, paper revision. MP; supervision of sequencing and paper revision. AC: study design and supervision, paper writing. All authors read and approved the final manuscript.

Additional files

References

  1. Wourms JP: The developmental biology of annual fishes. II. Naturally occurring dispersion and reaggregation of blastomers during the development of annual fish eggs. J Exp Zool. 1972, 182 (2): 169-200. 10.1002/jez.1401820203.

    PubMed  CAS  Article  Google Scholar 

  2. Podrabsky JE, Carpenter JF, Hand SC: Survival of water stress in annual fish embryos: dehydration avoidance and egg envelope amyloid fibers. Am J Physiol Regul Integr Comp Physiol. 2001, 280 (1): R123-R131.

    PubMed  CAS  Google Scholar 

  3. Podrabsky JE, Lopez JP, Fan TW, Higashi R, Somero GN: Extreme anoxia tolerance in embryos of the annual killifish Austrofundulus limnaeus: insights from a metabolomics analysis. J Exp Biol. 2007, 210 (Pt 13): 2253-2266. 10.1242/jeb.005116.

    PubMed  CAS  Article  Google Scholar 

  4. Genade T, Benedetti M, Terzibasi E, Roncaglia P, Valenzano DR, Cattaneo A, Cellerino A: Annual fishes of the genus Nothobranchius as a model system for aging research. Aging Cell. 2005, 4 (5): 223-233. 10.1111/j.1474-9726.2005.00165.x.

    PubMed  CAS  Article  Google Scholar 

  5. Terzibasi Tozzini E, Dorn A, Ng'oma E, Polacik M, Blazek R, Reichwald K, Petzold A, Watters B, Reichard M, Cellerino A: Parallel evolution of senescence in annual fishes in response to extrinsic mortality. BMC Evol Biol. 2013, 13: 77-10.1186/1471-2148-13-77.

    PubMed Central  Article  Google Scholar 

  6. Polacik M, Donner MT, Reichard M: Age structure of annual Nothobranchius fishes in Mozambique: is there a hatching synchrony?. J Fish Biol. 2011, 78 (3): 796-809. 10.1111/j.1095-8649.2010.02893.x.

    PubMed  CAS  Article  Google Scholar 

  7. Blazek R, Polacik MJ, Reichard M: Rapid growth, early maturation and short generation time in African annual fishes. EvoDevo. 2013, 4 (1): 24-10.1186/2041-9139-4-24.

    PubMed  PubMed Central  Article  Google Scholar 

  8. Di Cicco E, Tozzini ET, Rossi G, Cellerino A: The short-lived annual fish Nothobranchius furzeri shows a typical teleost aging process reinforced by high incidence of age-dependent neoplasias. Exp Gerontol. 2011, 46 (4): 249-256. 10.1016/j.exger.2010.10.011.

    PubMed  Article  Google Scholar 

  9. Hartmann N, Reichwald K, Lechel A, Graf M, Kirschner J, Dorn A, Terzibasi E, Wellner J, Platzer M, Rudolph KL, Cellerino A, Englert C: Telomeres shorten while Tert expression increases during aging of the short-lived fish Nothobranchius furzeri. Mech Aging Dev. 2009, 130 (5): 290-296. 10.1016/j.mad.2009.01.003.

    PubMed  CAS  Article  Google Scholar 

  10. Hartmann N, Reichwald K, Wittig I, Drose S, Schmeisser S, Luck C, Hahn C, Graf M, Gausmann U, Terzibasi E, Cellerino A, Ristow M, Brandt U, Platzer M, Englert C: Mitochondrial DNA copy number and function decrease with age in the short-lived fish Nothobranchius furzeri. Aging Cell. 2011, 10 (5): 824-831. 10.1111/j.1474-9726.2011.00723.x.

    PubMed  CAS  Article  Google Scholar 

  11. Hsu CY, Chiu YC: Ambient temperature influences aging in an annual fish (Nothobranchius rachovii). Aging Cell. 2009, 8 (6): 726-737. 10.1111/j.1474-9726.2009.00525.x.

    PubMed  CAS  Article  Google Scholar 

  12. Liu C, Wang X, Feng W, Li G, Su F, Zhang S: Differential expression of aging biomarkers at different life stages of the annual fish Nothobranchius guentheri. Biogerontology. 2012, 13 (5): 501-510. 10.1007/s10522-012-9395-2.

    PubMed  CAS  Article  Google Scholar 

  13. Lucas-Sanchez A, Almaida-Pagan PF, Madrid JA, de Costa J, Mendiola P: Agerelated changes in fatty acid profile and locomotor activity rhythms in Nothobranchius korthausae. Exp Gerontol. 2011, 46 (12): 970-978. 10.1016/j.exger.2011.08.009.

    PubMed  CAS  Article  Google Scholar 

  14. Lucas-Sanchez A, Almaida-Pagan PF, Tocher DR, Mendiola P, de Costa J: Age- related changes in mitochondrial membrane composition of nothobranchius rachovii. J Gerontol A Biol Sci Med Sci. 2013, 69 (2): 142-151.

    PubMed  Google Scholar 

  15. Terzibasi E, Lafrancois C, Domenici P, Hartmann N, Graf M, Cellerino A: Effects of dietary restriction on mortality and age-related phenotypes in the short-lived fish Nothobranchius furzeri. Aging Cell. 2009, 8 (2): 88-99. 10.1111/j.1474-9726.2009.00455.x.

    PubMed  CAS  Article  Google Scholar 

  16. Tozzini ET, Baumgart M, Battistoni G, Cellerino A: Adult neurogenesis in the short-lived teleost Nothobranchius furzeri: localization of neurogenic niches, molecular characterization and effects of aging. Aging Cell. 2012, 11 (2): 241-251. 10.1111/j.1474-9726.2011.00781.x.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  17. Valenzano DR, Terzibasi E, Cattaneo A, Domenici L, Cellerino A: Temperature affects longevity and age-related locomotor and cognitive decay in the short-lived fish Nothobranchius furzeri. Aging Cell. 2006, 5 (3): 275-278. 10.1111/j.1474-9726.2006.00212.x.

    PubMed  CAS  Article  Google Scholar 

  18. Terzibasi E, Valenzano DR, Benedetti M, Roncaglia P, Cattaneo A, Domenici L, Cellerino A: Large differences in aging phenotype between strains of the shortlived annual fish Nothobranchius furzeri. PLoS One. 2008, 3 (12): e3866-10.1371/journal.pone.0003866.

    PubMed  PubMed Central  Article  Google Scholar 

  19. Kirschner J, Weber D, Neuschl C, Franke A, Bottger M, Zielke L, Powalsky E, Groth M, Shagin D, Petzold A, Hartmann N, Englert C, Brockmann GA, Platzer M, Cellerino A, Reichwald K: Mapping of quantitative trait loci controlling lifespan in the short-lived fish Nothobranchius furzeri- a new vertebrate model for age research. Aging Cell. 2012, 11 (2): 252-261. 10.1111/j.1474-9726.2011.00780.x.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  20. Bartakova V, Reichard M, Janko K, Pola Ik M, Bla Ek R, Reichwald K, Cellerino A, Bryja J: Strong population genetic structuring in an annual fish, Nothobranchius furzeri, suggests multiple savannah refugia in southern Mozambique. BMC Evol Biol. 2013, 13 (1): 196-10.1186/1471-2148-13-196.

    PubMed  PubMed Central  Article  Google Scholar 

  21. Dorn A, Ng'oma E, Janko K, Reichwald K, Polacik M, Platzer M, Cellerino A, Reichard M: Phylogeny, genetic variability and colour polymorphism of an emerging animal model: the short-lived annual Nothobranchius fishes from southern Mozambique. Mol Phylogenet Evol. 2011, 61 (3): 739-749. 10.1016/j.ympev.2011.06.010.

    PubMed  CAS  Article  Google Scholar 

  22. Ng'oma E, Valdesalici S, Reichwald K, Cellerino A: Genetic and morphological studies of Nothobranchius (Cyprinodontiformes) from Malawi with description of Nothobranchius wattersi sp. nov. J Fish Biol. 2013, 82 (1): 165-188. 10.1111/jfb.12001.

    PubMed  Article  Google Scholar 

  23. Wildekamp RH: A World of Killies - Atlas of the Oviparous Cyprinodontiform Fishes of the World. 2004, The American Killifish Association, Elyria

    Google Scholar 

  24. Trauth MH, Maslin MA, Deino A, Strecker MR: Late Cenozoic moisture history of East Africa. Science. 2005, 309 (5743): 2051-2053. 10.1126/science.1112964.

    PubMed  CAS  Article  Google Scholar 

  25. Seehausen O: African cichlid fish: a model system in adaptive radiation research. Proc Biol Sci. 2006, 273 (1597): 1987-1998. 10.1098/rspb.2006.3539.

    PubMed  PubMed Central  Article  Google Scholar 

  26. Pinton A, Agnese JF, Paugy D, Otero O: A large-scale phylogeny of Synodontis (Mochokidae, Siluriformes) reveals the influence of geological events on continental diversity during the Cenozoic. Mol Phylogenet Evol. 2013, 66 (3): 1027-1040. 10.1016/j.ympev.2012.12.009.

    PubMed  Article  Google Scholar 

  27. Day JJ, Peart CR, Brown KJ, Friel JP, Bills R, Moritz T: Continental diversification of an African catfish radiation (Mochokidae: synodontis). Syst Biol. 2013, 62 (3): 351-365. 10.1093/sysbio/syt001.

    PubMed  Article  Google Scholar 

  28. Lorenzen ED, Heller R, Siegismund HR: Comparative phylogeography of African savannah ungulates. Mol Ecol. 2012, 21 (15): 3656-3670. 10.1111/j.1365-294X.2012.05650.x.

    PubMed  CAS  Article  Google Scholar 

  29. Li C, Orti G, Zhang G, Lu G: A practical approach to phylogenomics: the phylogeny of ray-finned fish (Actinopterygii) as a case study. BMC Evol Biol. 2007, 7: 44-10.1186/1471-2148-7-44.

    PubMed  PubMed Central  Article  Google Scholar 

  30. Valdesalici S, Bills R, Dorn A, Reichwald K, Cellerino A: Nothobranchius niassa (Cyprinodontiformes: Nothobranchiidae), a new species of annual killifish from northern Mozambique. Icht Expl Freshw. 2012, 23 (1): 19-28.

    Google Scholar 

  31. Wildekamp RH, Shidlovskiy KM, Watters BR: Systematics of the Nothobranchius melanospilus species group (Cyprinodontiformes: Nothobranchiidae) with description of two new species from Tanzania and Mozambique. Icht Expl Freshw. 2009, 20 (3): 237-254.

    Google Scholar 

  32. Abell R, Thieme ML, Revenga C, Bryer M, Kottelat M, Bogutskaya N, Coad B, Mandrak N, Contreras Balderas S, Bussing W, Stiassny MJ, Skelton P, Allen GR, Unmack P, Naseka A, Ng R, Sindorf N, Robertson J, Armijo E, Higgins JV, Heibel TJ, Wikramanayake E, Olson D, López HL, Reis RE, Lundberg JG, Sabaj Pérez MH, Petry P: Freshwater ecoregions of the world: a new map of biogeographic units for freshwater biodiversity conservation. Bioscience. 2008, 58 (5): 403-414. 10.1641/B580507.

    Article  Google Scholar 

  33. Near TJ, Dornburg A, Eytan RI, Keck BP, Smith WL, Kuhn KL, Moore JA, Price SA, Burbrink FT, Friedman M, Wainwright PC: Phylogeny and tempo of diversification in the superradiation of spiny-rayed fishes. Proc Natl Acad Sci U S A. 2013, 110 (31): 12738-12743. 10.1073/pnas.1304661110.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  34. Stadler T: Mammalian phylogeny reveals recent diversification rate shifts. Proc Natl Acad Sci U S A. 2011, 108 (15): 6187-6192. 10.1073/pnas.1016876108.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  35. Webb SA, Graves JA, Macias-Garcia C, Magurran AE, Foighil DO, Ritchie MG: Molecular phylogeny of the livebearing Goodeidae (Cyprinodontiformes). Mol Phylogenet Evol. 2004, 30 (3): 527-544. 10.1016/S1055-7903(03)00257-4.

    PubMed  CAS  Article  Google Scholar 

  36. Duerr JM, Podrabsky JE: Mitochondrial physiology of diapausing and developing embryos of the annual killifish Austrofundulus limnaeus: implications for extreme anoxia tolerance. J Comp Physiol B. 2010, 180 (7): 991-1003. 10.1007/s00360-010-0478-6.

    PubMed  Article  Google Scholar 

  37. Alda F, Reina RG, Doadrio I, Bermingham E: Phylogeny and biogeography of the Poecilia sphenops species complex (Actinopterygii, Poeciliidae) in Central America. Mol Phylogenet Evol. 2013, 66 (3): 1011-1026. 10.1016/j.ympev.2012.12.012.

    PubMed  Article  Google Scholar 

  38. Roberts RB, Ser JR, Kocher TD: Sexual conflict resolved by invasion of a novel sex eterminer in Lake Malawi cichlid fishes. Science. 2009, 326 (5955): 998-1001. 10.1126/science.1174705.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  39. Santos ME, Salzburger W: Evolution: how cichlids diversify. Science. 2012, 338 (6107): 619-621. 10.1126/science.1224818.

    PubMed  CAS  Article  Google Scholar 

  40. Colosimo PF, Hosemann KE, Balabhadra S, Villarreal G, Dickson M, Grimwood J, Schmutz J, Myers RM, Schluter D, Kingsley DM: Widespread parallel evolution in sticklebacks by repeated fixation of Ectodysplasin alleles. Science. 2005, 307 (5717): 1928-1933. 10.1126/science.1107239.

    PubMed  CAS  Article  Google Scholar 

  41. Jones FC, Grabherr MG, Chan YF, Russell P, Mauceli E, Johnson J, Swofford R, Pirun M, Zody MC, White S, Birney E, Searle S, Schmutz J, Grimwood J, Dickson MC, Myers RM, Miller CT, Summers BR, Knecht AK, Brady SD, Zhang H, Pollen AA, Howes T, Amemiya C, Baldwin J, Bloom T, Jaffe DB, Nicol R, Wilkinson J, et al: The genomic basis of adaptive evolution in threespine sticklebacks. Nature. 2012, 484 (7392): 55-61. 10.1038/nature10944.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  42. Franchini P, Fruciano C, Spreitzer ML, Jones JC, Elmer KR, Henning F, Meyer A: Genomic architecture of ecologically divergent body shape in a pair of sympatric crater lake cichlid fishes.Mol Ecol 2013.,

  43. Murphy WJ, Thomerson JE, Collier GE: Phylogeny of the Neotropical killifish family Rivulidae (Cyprinodontiformes, Aplocheiloidei) inferred from mitochondrial DNA sequences. Mol Phylogenet Evol. 1999, 13 (2): 289-301. 10.1006/mpev.1999.0656.

    PubMed  CAS  Article  Google Scholar 

  44. Zachos J, Pagani M, Sloan L, Thomas E, Billups K: Trends, rhythms, and aberrations in global climate 65 Ma to present. Science. 2001, 292 (5517): 686-693. 10.1126/science.1059412.

    PubMed  CAS  Article  Google Scholar 

  45. Kingston JD, Hill A, Marino BD: Isotopic evidence for neogene hominid paleoenvironments in the kenya rift valley. Science. 1994, 264 (5161): 955-959. 10.1126/science.264.5161.955.

    PubMed  CAS  Article  Google Scholar 

  46. Sepulchre P, Ramstein G, Fluteau F, Schuster M, Tiercelin JJ, Brunet M: Tectonic uplift and Eastern Africa aridification. Science. 2006, 313 (5792): 1419-1423. 10.1126/science.1129158.

    PubMed  CAS  Article  Google Scholar 

  47. Friedman M, Keck BP, Dornburg A, Eytan RI, Martin CH, Hulsey CD, Wainwright PC, Near TJ: Molecular and fossil evidence place the origin of cichlid fishes long after Gondwanan rifting. Proc Biol Sci. 2013, 280 (1770): 20131733-10.1098/rspb.2013.1733.

    PubMed  PubMed Central  Article  Google Scholar 

  48. Mayaux P, Bartholomé E, Fritz S, Belward A: A new land-cover map of Africa for the year 2000. J Biogeo. 2004, 31 (6): 861-877. 10.1111/j.1365-2699.2004.01073.x.

    Article  Google Scholar 

  49. Segalen L, Lee-Thorp JA, Cerling T: Timing of C4 grass expansion across sub- Saharan Africa. J Hum Evol. 2007, 53 (5): 549-559. 10.1016/j.jhevol.2006.12.010.

    PubMed  Article  Google Scholar 

  50. Clark PU, Archer D, Pollard D, Blum DD, Rial JA, Brovkin V, Mix AC, Pisias NG, Roy M: The middle Pleistocene transition: characteristics, mechanisms, and implications for long-term changes in atmospheric pCO2. Quaternary Sci Rev. 2006, 25: 3150-3163. 10.1016/j.quascirev.2006.07.008.

    Article  Google Scholar 

  51. Vbra ES: The fossil record of African Antelopes (Mamrnalia, Bovidae) in relation to human evolution and paleoclimate. Paleoclimale and Evolution, with Emphasis on Human Origins. Edited by: Vrba ES, Denton GH, Partridge TC, Burkle LH. 1995, Yale University Press, New Haven, CT, 450-

    Google Scholar 

  52. Bobe R, Behrensmeyer A: Faunal change, environmental variability and late Pliocene hominin evolution. J Hum Evol. 2002, 42: 475-497. 10.1006/jhev.2001.0535.

    PubMed  Article  Google Scholar 

  53. Miller JH, Hallager S, Monfort SL, Newby J, Bishop K, Tidmus SA, Black P, Houston B, Matthee CA, Fleischer RC: Phylogeographic analysis of nuclear and mtDNA supports subspecies designations in the ostrich (Struthio camelus). Conser Genet. 2011, 12: 223-231. 10.1007/s10592-010-0135-3.

    Article  Google Scholar 

  54. Dehghani R, Wanntorp L, Pagani P, Kallersjo M, Werdelin L, Veron G: Phylogeography of the white-tailed mongoose (Herpestidae, Carnivora, Mammalia) based on partial sequences of the mtDNA control region. J Zool. 2008, 276: 385-393. 10.1111/j.1469-7998.2008.00502.x.

    Article  Google Scholar 

  55. Polacik M, Reichard M: Diet overlap among three sympatric African annual killifish species Nothobranchius spp. from Mozambique. J Fish Biol. 2010, 77 (3): 754-768.

    PubMed  CAS  Google Scholar 

  56. Murphy WJ, Collier GE: A molecular phylogeny for aplocheiloid fishes (Atherinomorpha, Cyprinodontiformes): the role of vicariance and the origins of annualism. Mol Biol Evol. 1997, 14 (8): 790-799. 10.1093/oxfordjournals.molbev.a025819.

    PubMed  CAS  Article  Google Scholar 

  57. Reichwald K, Lauber C, Nanda I, Kirschner J, Hartmann N, Schories S, Gausmann U, Taudien S, Schilhabel MB, Szafranski K, Gl°Ckner G, Schmid M, Cellerino A, Schartl M, Englert C, Platzer M: High tandem repeat content in the genome of the short-lived annual fish Nothobranchius furzeri: a new vertebrate model for aging research. Genome Biol. 2009, 10 (2): R16-10.1186/gb-2009-10-2-r16.

    PubMed  PubMed Central  Article  Google Scholar 

  58. Ronquist F, Huelsenbeck JP: MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19 (12): 1572-1574. 10.1093/bioinformatics/btg180.

    PubMed  CAS  Article  Google Scholar 

  59. Posada D: jModelTest: phylogenetic model averaging. Mol Biol Evol. 2008, 25 (7): 1253-1256. 10.1093/molbev/msn083.

    PubMed  CAS  Article  Google Scholar 

  60. Drummond AJ, Rambaut A: BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol. 2007, 7: 214-10.1186/1471-2148-7-214.

    PubMed  PubMed Central  Article  Google Scholar 

  61. Yu Y, Harris AJ, He X: S-DIVA (Statistical Dispersal-Vicariance Analysis): a tool for inferring biogeographic histories. Mol Phylogenet Evol. 2010, 56 (2): 848-850. 10.1016/j.ympev.2010.04.011.

    PubMed  Article  Google Scholar 

  62. Nylander JA, Olsson U, Alstrom P, Sanmartin I: Accounting for phylogenetic uncertainty in biogeography: a Bayesian approach to dispersal-vicariance analysis of the thrushes (Aves: Turdus). Syst Biol. 2008, 57 (2): 257-268. 10.1080/10635150802044003.

    PubMed  Article  Google Scholar 

Download references

Acknowledgments

We would like to thank to Michael Matschiner for the constructive discussion and help with the diversification rate tests. We thank Martin Reichard for his valuable comments on the various versions of the manuscript. We are very thankful to Stefano Valdesalici, Kiril Kardashev, Henning Zellmer and Tom ver Eecke for providing samples for DNA-extraction. We thank Heike Harzer, Eileen Povalski, Daniel Mertten and Judith Schmeichel for help in the lab and Tom Hofmann and Kathleen Seitz for the sequencing of the DNA.

Author information

Authors and Affiliations

  1. Fritz Lipmann Institute for Age Research-Leibniz Institute, Jena, Germany

    Alexander Dorn, Matthias Platzer, Kathrin Reichwald & Alessandro Cellerino

  2. Zoological Institute, University of Basel, Vesalgasse 1, Basel, CH-4051, Switzerland

    Zuzana Musilová

  3. Scuola Normale Superiore, Pisa, Italy

    Alessandro Cellerino

Authors
  1. Alexander Dorn
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zuzana Musilová
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Matthias Platzer
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Kathrin Reichwald
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Alessandro Cellerino
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alessandro Cellerino.

Additional information

Competing interests

The authors declare that they have no competing interests.

Electronic supplementary material

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Authors’ original file for figure 3

Rights and permissions

Open Access  This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.

The Creative Commons Public Domain Dedication waiver (https://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Dorn, A., Musilová, Z., Platzer, M. et al. The strange case of East African annual fishes: aridification correlates with diversification for a savannah aquatic group?. BMC Evol Biol 14, 210 (2014). https://doi.org/10.1186/s12862-014-0210-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12862-014-0210-3

Keywords

  • Killifish
  • allopatric speciation
  • life history evolution
  • evolution of aging
  • Africa biogeography

BMC Ecology and Evolution

ISSN: 2730-7182

Contact us