Uncertainties surrounding the evolutionary origin of the epipelagic fish family Scombridae (tunas and mackerels) are symptomatic of the difficulties in resolving suprafamilial relationships within Percomorpha, a hyperdiverse teleost radiation that contains approximately 17,000 species placed in 13 ill-defined orders and 269 families. Here we find that scombrids share a common ancestry with 14 families based on (i) bioinformatic analyses using partial mitochondrial and nuclear gene sequences from all percomorphs deposited in GenBank (10,733 sequences) and (ii) subsequent mitogenomic analysis based on 57 species from those targeted 15 families and 67 outgroup taxa. Morphological heterogeneity among these 15 families is so extraordinary that they have been placed in six different perciform suborders. However, members of the 15 families are either coastal or oceanic pelagic in their ecology with diverse modes of life, suggesting that they represent a previously undetected adaptive radiation in the pelagic realm. Time-calibrated phylogenies imply that scombrids originated from a deep-ocean ancestor and began to radiate after the end-Cretaceous when large predatory epipelagic fishes were selective victims of the Cretaceous-Paleogene mass extinction. We name this clade of open-ocean fishes containing Scombridae “Pelagia” in reference to the common habitat preference that links the 15 families.
Citation: Miya M, Friedman M, Satoh TP, Takeshima H, Sado T, Iwasaki W, et al. (2013) Evolutionary Origin of the Scombridae (Tunas and Mackerels): Members of a Paleogene Adaptive Radiation with 14 Other Pelagic Fish Families. PLoS ONE 8(9): e73535. https://doi.org/10.1371/journal.pone.0073535
Editor: Sergios-Orestis Kolokotronis, Fordham University, United States of America
Received: April 11, 2013; Accepted: July 22, 2013; Published: September 4, 2013
Copyright: © 2013 Miya et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This study was supported by grants-in-aid from the Ministry of Education, Culture, Sports, Science, and Technology, Japan, Nos. 17207007 19207007, 22580229. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The upper 200 meters in coastal and oceanic waters constitute the epipelagic or euphotic zone . Comprising approximately 70% of the earth’s surface, it represents one of the largest habitats . The epipelagic zone is characterized by high solar insolation, variable primary production that can be very high in regions of upwelling or convergence of major currents, large volume, and a lack of physical barriers . As a consequence of such a vast expanse and a patchy distribution of food in both time and space, fishes inhabiting the epipelagic realm are able to efficiently move long distances for foraging, bear streamlined bodies with forked or lunate tails, and often have special respiration and digestive systems and a high percentage of red muscle and lipids . Epipelagic fishes are also commonly countershaded and silvery, frequently forming schools for foraging and for avoidance of predation .
Such a variety of ecological, morphological, and physiological adaptations are represented to varying degrees in approximately 850 epipelagic species of modern teleost fishes distributed across 41 families (calculated from FishBase ver. 02/2007 ), including herrings, sardines, anchovies, flyingfishes, halfbeaks, needlefishes, sauries, opahs, oarfishes, louvars, bluefish, Australian salmons, jacks, dolphinfishes, remoras, barracudas, cutlassfishes, mackerels, tunas, billfishes, butterfishes, and pomfrets. The most extreme examples of such adaptations, however, are found among the open water, migratory tunas, which are members of the family Scombridae (order Perciformes: suborder Scombroidei). They have the highest digestive and metabolic rates and the most profound specializations for sustained levels of rapid locomotion of any fishes . Apart from these biological superlatives, scombrids are of considerable economic importance (e.g., they include the bluefin tuna, which is literally worth more than its weight in gold, and mackerels, which are heavily fished on a global scale) .
The evolutionary origin of the scombrids has remained unclear despite repeated attempts to resolve intra- and interrelationships of the family based on both morphological and molecular data –. This is largely because the taxonomic limits of the suborder Scombroidei (currently comprising six families including Scombridae ) have remained ambiguous since Regan  proposed the first modern definition of the group in the early 1900s. For example, cladistic studies of anatomical features have added Sphyraenidae (barracudas) to Scombroidei , while removing Luvaridae (louvar) from the group . Early molecular phylogenetic studies ,  questioned the affinity of scombrids with billfishes, which have been shown by more recent analyses to be close relatives of flatfishes, jacks and remoras , . With clear evidence that the classical Scombroidei represents a polyphyletic group, there is no clear framework to guide taxon selection for analyses seeking to discover the immediate relatives of scombrids.
Continued molecular investigation has consistently revealed that scombrids form a strongly supported monophyletic group together with the perciform families Pomatomidae (bluefish) , , Bramidae (pomfrets) , , Arripidae (Australian salmons) , Chiasmodontidae (swallowers) , –, Icosteidae (ragfish) , , Scombrolabracidae (longfin escolar) , Centrolophidae (medusafishes) –, Nomeidae (driftfishes) , , , and Stromateidae (butterfishes) , , , . Surprisingly, all of these families have been placed outside Scombroidei in morphological classifications, and no uniquely shared anatomical features that might unite them as a clade has been reported or recognized. However, Yagishita et al.  noticed that these non-scombroid fishes share with scombrids a pelagic ecology often associated with long-distance migrations, and suggested that future addition of other pelagic percomorph species of unknown phylogenetic affinity would further expand the limits of this distinct, previously unrecognized radiation.
To address the evolutionary origin of scombrids, we assembled partial nucleotide sequences of the mitochondrial (mt) and nuclear (nc) genes from all percomorphs deposited in GenBank (10,733 sequences from 5,368 species across all 13 suborders, 215 families, and 1,558 genera) and subjected them to phylogenetic analysis. The resulting phylogenies suggest that the 15 perciform families across 6 suborders (Fig. 1) constitute the least inclusive monophyletic group that contains all core members of the classical scombroid families (Gempylidae, Trichiuridae, Scombridae). Subsequent mitogenomic analyses with extensive taxon sampling from those 15 families (56 species) and outgroup taxa (124 species in total) strongly support a single origin of the 15 families. Considering the diverse modes of life of the 15 families, these results strongly suggest that there has been an undetected evolutionary radiation in the pelagic realm. This clade appears to represent a rarely documented example of adaptive radiation in a vast and apparently homogenous environment, which is in striking contrast to classic instances of adaptive radiations in small, isolated areas such as lakes or oceanic islands with diverse habitats .
Numerals in parentheses beside family names denote numbers of genera and species recognized in a current classification . The 15 families are distributed across 6 suborders in the order Perciformes, which includes 20 suborders, 160 families, 1,539 genera, and 10,033 species . (a) Pomatomidae (Pomatomus saltarix; ©State of Queensland, Department of Agriculture, Fisheries and Forestry, Australia); (b) Bramidae (Brama japonica); (c) Caristiidae (Platyberyx macropus); (d) Arripidae (Arripis trutta; photo courtesy of Pat Tully, © NSW Trade & Investment Primary Industries, New Zealand); (e) Chiasmodontidae (Chiasmodon niger); (f) Icosteidae (Icosteus aenigmaticus); (g) Scombrolabracidae (Scombrolabrax heterolepis; ©Marine Fisheries Research and Development Center, Fisheries Research Agency, Japan); (h) Gempylidae (Promethichthys prometheus and Ruvettus pretiosus); (i) Trichiuridae (Trachurus japonicus and Evoxymetopon taeniatus); (j) Scombridae (Thunnus orientalis and Scomber australasicus); (k) Centrolophoridae (Psenopsis anomala); (l) Nomeidae (Cubiceps squamicepsi); (m) Ariommatidae (Ariomma indica); (n) Tetragonuridae (Tetraganurus cuvieri); and (o) Stromateidae (Pampus argenteus). Photos (b, f, h–j, m–o) and (k, l) courtesy of Hiroshi Senou and Hisayuki Suzuki, respectively (©Kanagawa Prefectural Museum of Natural History).
A total of 10,731 sequences downloaded from GenBank were sorted into 6 mitochondrial (mt) and 3 nuclear (nc) genes (only protein-coding genes with >100 species) and those sequences together comprise 5,367 species (35% of total percomorph species diversity) distributed across 215 families (87%) and 1,558 genera (64%). Partitioned maximum likelihood (ML) analyses of the individual genes found that 12 perciform (non-scombroid) families are members of the least inclusive monophyletic group that contains all core members of the classical scombroid families (Gempylidae, Trichiuridae, Scombridae) and none of these 15 families are found outside this clade (Table 1; Figs. 2, 3). Total number of families covered and bootstrap percentages (BPs) supporting this clade vary greatly, ranging from one (mt ATP6) to 15 (mt COI) and from 10% (mt COI) to 100% (nc rag1), respectively (Table 1; Figs. 2, 3).
Only a portion of Pelagia shown. Numerals beside internal branches indicate bootstrap proportions based on 1000 replicates. Subordinal groupings of the 15 families are colored following Fig. 1. All tree files are available in Text S2.
Only a portion of Pelagia shown. Numerals beside internal branches indicate bootstrap proportions based on 1000 replicates. Subordinal groupings of the 15 families are colored following Fig. 1. All tree files are available in Text S2.
Of those 12 non-scombroid families, a total of nine families have formed monophyletic groups with the scombrids in previous molecular phylogenetic studies , –, but the placements of the remaining three (Caristiidae, Ariommatidae, Tetragonuridae) represent new discoveries (Table 1; Fig. 2). It should be noted that the two scombroid families (Gempylidae, Scombridae) were not reproduced as monophyletic across several genes when more than two or three species were analysed (Table 1; Figs. 2, 3). It appears that the lack of sufficient taxon sampling across genes and weak phylogenetic signal in some of the genes (particularly mt COI gene with only 10% BP; Table 1; Fig. 2) prevent us from drawing explicit conclusions about single-origin hypotheses for the 15 families generally and these two scombroid families specifically.
Based on the results from the above bioinformatic analysis, we generated new whole mitogenome sequences for 37 species for the 15 targeted families and 17 species from the outgroup (total 54 species). The genome content of the 54 species includes 2 rRNA, 22 tRNA, and 13 protein-coding genes, plus the putative control region, as found in other vertebrates. Gene arrangements are identical to the typical mitochondrial gene order of other vertebrates.
RAxML analysis of the 12n3rRTn data set results in the best-scoring ML tree with a likelihood score of –365160.5637 (Fig. 4). Monophyly of the least inclusive monophyletic group that contains all core members of the classical scombroid families (hereafter called “Pelagia”; for etymology and definition, see below) is strongly supported with bootstrap percentages (BPs) of 100% across the 4 data sets (Fig. 5). As in previous molecular studies , , the 2 billfish families (Xiphiidae and Istiophoridae) and barracudas (Sphyraenidae) fall outside Pelagia, exhibiting more recent common ancestry with flatfishes, carangoids, and several “generalized” perciforms such as Lates and Toxotes (Figs. 4, 5). Monophyly of the textbook “Scombroidei”  (Xiphiidae, Istiophoridae, Sphyraenidae, Gempylidae, Trichiuridae, Scombridae) is confidently rejected by the approximately unbiased (AU) test across the four data sets (P<0.000).
Numerals beside internal branches indicate bootstrap proportions (BPs) of ≥50% based on 1000 replicates. Arrowheads indicate those internal branches that are collapsed when a strict consensus tree is constructed from the best-scoring ML trees derived from 2 different data sets that include 3rd codon positions (12n3rRTn and 123nRTn datasets). Terminal and internal branches with asterisks indicate those shortened to a half of the original ones for a practical purpose. Subordinal grouping of the 15 families are colored following Fig. 1 and black bars denote 5 trans-familial clades supported by BPs of ≥87%. A tree file is available in Text S2.
BPs are based on 1000 replicates and those of ≥50% only indicated with the following sequences (12n3rRTn,123nRTn, 12nRTn, 123aRTn).
Of the 15 pelagic families analyzed, 10 families include multiple species and are recovered as monophyletic with the exception of the Gempylidae, which is consistently recovered as paraphyletic grade consisting of two subclades (Gempylidae–1 and 2 in Figs. 4, 5). Monophyly of each of the remaining nine families is strongly supported (BPs = 97–100%) in the two nucleotide data sets that include 3rd codon positions (12n3rRTn and 123nRTn data sets), although exclusion of the entire 3rd codon positions or conversion of the 12 protein-coding genes into amino acid sequences occasionally lower the statistical support for these families (e.g., BP = 58% for the Scombridae in the 123aRTn data set; Fig. 5). We interpret this as indicating lack of phylogenetic signal in the latter two data sets as observed in many groups of organisms , including fishes . Accordingly the following description of the results and discussions on the interrelationships of Pelagia are based on the former two nucleotide data sets (12n3rRTn and 123nRTn) only.
Within Pelagia, Trichiuridae is the earliest diverging lineage and is followed by Gempylidae–1 (Figs. 4, 5). Although monophyly of the three deepest, most inclusive clades (A–C in Fig. 4) are consistently recovered in the two data sets, bootstrap proportions for these groups are not high, ranging from 53% (Clade B in the 12n3rRTn data set) to 76% (Clade A in the 123nRTn data set). Clade C contains the remaining 13 families. Inter-familial relationships within Clade C that receive high statistical support include sister-group relationships between Icosteidae and Caristiidae (BPs = 88, 98%), Tetragonuridae and Chiasmodontidae (99, 100%), Scombrolabracidae and Centrolophidae (87, 87%), Stromateidae and Ariommatidae plus Nomeidae (100, 100%), and Pomatomidae and Arripidae (96, 98%) (Fig. 5). Interrelationships among these clades, however, are quite ambiguous and even the two similar data sets recover quite different relationships as indicated by the three arrowheads in Fig. 4. Although two suborders (Scombroidei and Stromateoidei) and one family (Gempylidae) are not recovered as monophyletic, AU tests are unable to reject monophyly of these groups (P = 0.109–0.349) with the exception of that of Stromateoidei in the 12n3rRTn dataset (P = 0.005; Table 2).
The Scombridae is recovered as monophyletic with strong statistical support (BPs = 97, 99%) and occupies an apical position, and is placed as sister to a clade comprising two families (Pomatomidae and Arripidae) (Fig. 4). This sister-group relationship, however, receives weak statistical support (BP<50%) in the two data sets where it is resolved, and is not found in analyses of the remaining two data sets.
Divergence Time Estimation and Character Mapping
MCMCTREE analyses of divergence times with our five well-supported fossil calibrations indicate that Pelagia began to diversify around the latest Cretaceous (69.1 Ma) with a 95% credible interval of 59.4–80.1 Ma (Fig. 6). The basal divergences that led to the origin of modern scombrids were estimated to occur in a relatively small time window during the early Paleogene (48.9–60.7 Ma), with crown scombrids beginning to diversify during the middle Paleogene around 37.7 Ma with a 95% credible interval of 25.9–49.9 Ma (Fig. 6). With the addition of three further constraints based on concordance between the sequence of Gondwanan breakup and patterns of cichlid divergences, MCMCTREE analyses consistently yield older estimates (absolute differences in posterior means: 22.5 million years ±15.9 SD for all nodes and 15.9 million years ±10.9 SD for those nodes within Pelagia). In both estimates, onset of the diversification of crown scombrids is estimated to postdate the Late Cretaceous (37.7 and 60.2 Ma in posterior means, respectively; Table S1).
Five nodes were used for time constraints based on fossil record (arrowheads; for details, see Table 2). Horizontal bars indicate 95% credible intervals of the divergence time estimates.
The timescales described above were intentionally estimated without any fossil calibrations within Pelagia. This strategy reflects a desire to produce divergence-time estimates within Pelagia that are as independent as possible from the fossil record of the clade, and which can be compared to a purely paleontological timescale for the evolution of the group.
Our paleontological timescale for Pelagia rests on a compendium of occurrences of members of the clade based on body-fossil remains (Fig. 7; see below in Materials and Methods). No formal cladistic analysis of fossil Pelagia has been published, so our data are coarsely sorted into divisions corresponding to the total groups for each of the 15 families that we place within this radiation. Icosteidae and Arripidae have no fossil record, while Scombrolabracidae, Tetragonuridae, and Chiasmodontidae are represented only by a single fossil horizon each (Text S1). The poor fossil records of these particular families is unsurprising, as they are characterized by low species richness, inhabit deep water environments with poor fossil records, or a combination of both.
Solid bars represent known stratigraphic range, with white lines showing approximate distribution of horizons yielding body-fossil remains of groups (horizons within individual stratigraphic intervals are randomly distributed for clarity). One-tailed 95% (wide bracket) and 50% (narrow bracket) confidence intervals on the first appearance of each group assuming uniform preservation potential are indicated. Color-coding of classical taxonomic groups to which families have been assigned follows that used in Fig. 1. For fossil horizons yielding the 15 families of Pelagia, see Table S4.
Although the 10 remaining families of Pelagia have much denser paleontological records, the oldest fossil occurrences of these groups necessarily postdate their true times of evolutionary origin. We therefore calculated confidence intervals and unbiased maximum-likelihood point estimates for the evolutionary appearance of these groups using simple quantitative biostratigraphical models that assume uniform preservation potential over time ,  (see below in Materials and Methods). We compared our point estimates  for the time of origin for each of these families based on fossil evidence alone with our two molecular time estimates for the corresponding groups made without reference to the fossil record of Pelagia (i.e., neither these point estimates nor any other information about the fossil record of Pelagia was used in calibrating our molecular phylogenies). We quantified disagreement between the two timescales for the evolution of Pelagia using the residual sum of squares from 1∶1 a relationship. Molecular ages generated using only fossil-based calibrations show a much closer correspondence to paleontological estimates for the time of origin of groups within Pelagia than do molecular age estimates that use putative vicariant events in cichlid evolutionary history in addition to fossil specimens as calibration points (residual sum of squares: 982.34 vs 2925.05; Fig. 8). In the following, we use the molecular divergence time estimates using fossil calibrations only, noting that these age estimates are also more concordant with recent molecular studies of actinopterygian divergence times based on nuclear genes , .
Points are specified by the paleontological maximum-likelihood estimate for the origin of the total-group families for which this value can be calculated and the mean molecular age estimate for that same lineage. Error bars represent 95% confidence intervals. Color-coding of classical taxonomic groups to which families have been assigned follows that used in Fig. 1. RSS = residual sum of squares measuring deviation from a hypothesized 1∶1 relationship. For paleontological timescale for the 15 families of Pelagia, see Table S5.
Mapping of depth preferences on to our time-calibrated hypothesis of interrelationships of Pelagia allows us to infer shifts in depth ecology during the evolutionary history of the group (Fig. 9). Two striking features emerge regardless of the molecular timetree used. First, the last common ancestor of Pelagia is reconstructed as being mesopelagic, with an inferred mean depth range of approximately 470 m for both sets of molecular divergence estimates. Second, we infer that Scombridae has arisen from a deeper-living ancestor, and the shift to shallower depths (<300 m) in this and some other groups of Pelagia (e.g., stromateids, ariommatids, arripids, and bramids) took place in the Paleogene. This result is clearly not conclusive due to weak support for the deepest divergences within Pelagia combined with the considerable uncertainty that typically surrounds ancestral state estimates. However, we highlight this hypothesis here in the hope that future analyses will test it with more comprehensive datasets.
Depths are the averages of minimum and maximum depths reported in FishBase. Depth ecologies for internal nodes are estimated using maximum likelihood. The last common ancestor of Pelagia is inferred to have been mesopelagic. The invasion of the epipelagic realm by scombrids and other groups of Pelagia occurred in the early Paleogene.
The evolutionary origin of the family Scombridae has proven enigmatic because of the unstable limits of the suborder Scombroidei within the order Perciformes , , , with the consequence that no clear framework existed to guide taxon selection to discover immediate relatives of scombrids. Our bioinformatic and mitogenomic analyses, however, successfully circumscribe a novel clade comprising 15 families including Scombridae (Fig. 1) with strong statistical support across four different data sets (BPs = 100%; Fig. 5). Monophyly of these 15 families would not be predicted from the current morphological classifications , where they are placed in six different perciform suborders for which no common morphological specializations have been recognized with the exception of three core members of the classical Scombroidei (Gempylidae, Trichiuridae, Scombridae) and two putative scombroid relatives (Pomatomidae, Scombrolabracidae) , . Of the remaining 10 non-scombroid families, previous molecular studies – have shown that 3–7 of these taxa (Bramidae ; Arripidae ; Chiasmodontidae , –; Icosteidae , ; Centrolophidae –; Nomeidae , , ; Stromateidae , –), in various combinations, form strongly supported monophyletic groups with or without scombrids (BPs = 91–100% except for 55% in ). The present analysis adds three new families (Caristiidae, Ariommatidae, Tetragonuridae) as members of this novel clade (Table 3), providing the first comprehensive picture of this previously unrecognized radiation that includes scombrids.
Our taxon sampling, however, is incomplete with respect to perciform groups and there might still be unrecognized members of Pelagia among these unsampled families. The monotypic stromateoid family Amarsipidae represents the most likely candidate member of this clade, considering all the other five stromateoid families are confidently placed within Pelagia (Figs. 4, 5). However, this rare, monotypic family exhibits a unique combination of meristic and morphological characters among stromateoids , and lacks a pharyngeal sac, a unique morphological specialization observed throughout the remaining five stromateoid families . The remaining 15 perciform families not included in our bioinformatic analysis (Table 4) are either small benthic fishes (mean maximum length = 2.5–16.2 cm) or medium to large reef-associated fishes (52.9–205.0 cm), implying distant common ancestry with Pelagia (see below).
Previous analyses have hinted at the existence of a pelagic radiation of percomorphs. Yagishita et al.  found a strongly supported group comprising some members of Pelagia (Arripidae, Centrolophidae, Nomeidae, Scombridae), and noticed that the 4 families, together with other members of the novel clade (Chiasmodontidae , ,  and Bramidae ), share a pelagic lifestyle associated with long-distance migrations . Yagishita et al.  suggested that future addition of pelagic species of uncertain placement within Percomorpha would further expand the limits of this distinct, previously unrecognized pelagic clade. Our study confirms this prediction by adding 9 families that exclusively contain pelagic members to this novel clade. While this manuscript was under review, two papers on the euteleostean phylogenies based on extensive character sampling from 20 nuclear genes have been published ,  and their resultant trees are congruent in terms of the limits of Pelagia with the exception of Arripidae (this group is unsampled in their studies , ). Intrarelationships of Pelagia, however, exhibit partial incongruence (e.g., non-monophyletic scombrids in , ), which clearly require further investigation.
Considering that current morphological classifications have placed representatives of these 15 families into six perciform suborders , the recognition of anatomical synapomorphies for Pelagia might prove difficult. Although members of this group are clearly united by a pelagic ecology, long-distance migrations are characteristic of only few of the 15 families. Most members of Pelagia are relatively large (≥30 cm) predatory marine fishes consuming various food items from mainly jellyfish and hydroids in five stromateoid families to bony fish, squid, and crustaceans in the remaining 10 families (Table 5). Exceptions to the general pattern of large body size is found in mesopelagic families occurring principally below 200 m, such as species of Chiasmodontidae (mean maximum length = 16.2 cm ±6.6 SD) and Caristiidae (20.5 cm ±10.2 SD). These taxa are often collectively called “micronekton” together with more abundant and diverse dragonfishes (Stomiiformes) and lanternfishes (Myctophidae) , and their smaller sizes might reflect ecological constraints in deep midwater environments where food availability is more limited than in the euphotic zone .
In contrast to the obvious single origin of Pelagia, familial interrelationships within Pelagia are not robustly supported. Weak support for internal nodes is commonly reported in phylogenetic analyses of groups thought to have undergone adaptive radiations, such as those of cichlids in Lake Tanganyika , and is frequently attributed to the temporal bursts of species diversification associated with ecological divergence . Evidence for both of these important attributes of adaptive radiation is apparent in the diversification of Pelagia.
The reconstructed timetree (Fig. 6) shows that internal branches connecting those poorly supported nodes are narrow, and are concentrated in a short interval during the early Paleogene between 48.9 and 51.5 Ma (representing only 2.6 Ma). Remarkable examples of adaptive morphological and ecological traits in members of Clade C (with the exception of those of scombrids) include: the greatly enlarged dorsal and anal fins of mesopelagic manefishes (Caristiidae; Fig. 1c) and fanfishes (Bramidae), which have been interpreted as an antipredation device ; the highly distensible stomachs of swallowers (Chiasmodontidae; Fig. 1e), which allow members of the group to consume prey considerably longer than their own bodies ; the unusual ecology of driftfishes (Nomeidae; Fig. 1l), which hover around and under floating logs, jellyfishes, and seaweed as juveniles, including particularly notable symbioses between juvenile Nomeus gronouvii and a pelagic cnidarian (Portuguese Man-of-War) ; and the preferred habitat of juvenile squaretails (Tetragonuridae; Fig. 1n), which live inside pelagic tunicates (salps and pyrosomes) and use their unusual dentition to graze on their hosts . Thus it is evident that taxonomic radiation within Pelagia is accompanied by profound and rapid ecological divergence in the pelagic realm. The diversification of Pelagia is unusual in occurring in a vast and apparently homogenous environment, which stands in contrast to the small, isolated areas such as lakes or oceanic islands with heterogeneous habitats that represent the setting for most classic examples of adaptive radiation .
The Cretaceous-Paleogene extinction appears to have selected against large-bodied predatory fishes, which were represented in Late Cretaceous shallow marine environments by stem teleost clades (pachycormiforms, pachyrhizodontids, ichthyodectiforms) and a diversity of aulopiforms –. The apparent radiation of epipelagic clades of predatory acanthomorphs in the early Paleogene, including scombrids, has been interpreted by paleontologists as the evolutionary re-filling of the ecological roles vacated by these extinction victims . Our new framework for understanding scombrid evolution supports an early Paleogene radiation of the group (but see  for older [mid-Cretaceous origin of crown Scombridae] and  younger [late Paleogene] crown ages based on different molecular data and calibration sets), but also suggests that the clade arose from a deep-water ancestor; this inference is particularly interesting given that both deep-water teleosts and elasmobranchs seem to have been little affected by the Cretaceous-Paleogene extinction , . With epipelagic predators devastated by the end-Cretaceous event, Pelagia was free to radiate in the epipelagic realm during the early Paleogene, diversifying into 232 modern species distributed across 73 genera and 15 disparate families, including 51 species of Scombridae.
Bioinformatic and mitogenomic analyses, which draw on an extensive taxon sample (5368 and 124 species, respectively), clearly demonstrate a single origin of Pelagia (Figs. 4, 5) despite the extraordinary morphological heterogeneity of the 15 families included within this radiation (Fig. 1). Monophyly of Pelagia is robustly supported (100% BPs in mitogenomic analysis across the four data sets), as is the monophyly of most polyspecific families within this radiation (Trichiuridae, a subset of Gempylidae, Bramidae, Tetragonuridae, Chiasmodontidae, Centrolophidae, Stromateidae, Nomeidae, Scombridae; all with BP≥95%). However, considerable uncertainty exists with respect to the relationships among these families with the exception of three well-supported suprafamilial clades (Tetragonuridae + Chiasmodontidae; Arripidae + Pomatomidae; Stromateidae + Ariommatidae, Nomeidae). Interpreted in the light of our molecular clock and paleontological investigations of Pelagia, we regard the ambiguity surrounding these early phylogenetic splits as a consequence of the rapid divergence in Late Cretaceous-early Paleogene interval (Fig. 6). These short internal nodes, combined with the divergent ecological and morphological traits shown by modern representatives (Figs. 1, 4, 6), suggest that Pelagia represents an adaptive radiation in the pelagic realm. The concentration of divergences among disparate lineages within Pelagia during the early Paleogene is consistent with an “ecological release” model, whereby the group radiated into emptied ecological roles following selective extinction of epipelagic predatory teleosts at the end of the Cretaceous.
Phylogenetic Definition of Pelagia
We follow the PhyloCode Article 9 general requirements for establishment of clade name (http://www.ohio.edu/phylocode/art9.html).
Pelagia, M. Miya & M. Friedman, new clade name.
Definition (node-based): The least inclusive clade containing Trichiurus lepturus Linnaeus, 1758, Gempylus serpens Cuvier, 1829, Ruvettus pretiosus Cocco, 1833, Platyberyx opalescens Zugmayer, 1911, Icosteus aenigmaticus Lockington, 1880, Taractes asper Lower 1843, Scombrolabrax heterolepis Roule, 1921, Icichthys lockingtoni Jordan & Gilbert, 1880, Tetragonurus cuvieri Risso, 1810, Chiasmodon niger Johnson, 1864, Pampus argenteus (Euphrasen, 1788), Ariomma indica (Day, 1871), Psenes cyanophrys Valenciennes, 1833, Pomatomus saltatrix (Linnaeus, 1766), Arripis trutta (Forster, 1801), and Scomber scombrus Linnaeus, 1758.
Etymology: Greek. From the plural of the neutral adjective pelágion (πελάγιον), meaning “of the sea”.
Reference phylogeny (Fig. 4): Includes the species in the definition as well as all species in Pomatomidae, Bramidae, Caristiidae, Arripidae, Chiasmodontidae, Icosteidae, Scombrolabracidae, Gempylidae, Trichiuridae, Scombridae, Centrolophidae, Nomeidae, Ariommatidae, Tetragonuridae, Stromateidae, (and possibly Amarsipidae, unsampled in the present study).
Materials and Methods
To find possible close relatives of scombrids, we downloaded partial nucleotide sequences of mitochondrial (mt) and nuclear (nc) genes (≥300 bp) in a flat file format from all species of Percomorpha deposited in GenBank. Sequences were sorted into individual genes and only the longest sequences from identical species were retained using a Perl script (GenBankStrip.pl) written by O.R.P. Bininda-Emonds. For sufficient taxonomic coverage, those protein-coding genes with ≥100 species (six mt and three nc genes) were used for subsequent phylogenetic analysis with Polymixia japonica as an outgroup for rooting (total 10,731 ingroup sequences; for a list of species and accession numbers, see Table S2). Although numerous percomorph species have been deposited for the two mt ribosomal genes in the database (1,412 species for the 12S and 3,263 species for the 16S), they were not used in the analysis because of difficulties in unambiguous multiple alignment across all the taxa involved. All 9 data sets are deposited in DataDryad and available from http://datadryad.org/resource/doi:10.5061/dryad.5ns57.
Those nine protein-coding gene sequences were individually aligned using MAFFT v. 6  and unambiguously aligned sequences were partitioned into codon positions. The resulting nine data sets were individually subjected to partitioned maximum likelihood (ML) analysis using RAxML v. 7.2.8 . A general time reversible model with sites following a discrete gamma distribution (GTR + gamma ; the model recommended by the author of the program) was used and a rapid bootstrap (BS) analysis  was conducted with 1,000 replicates (–f a option).
The above bioinformatic analyses identified that 12 non-scombroid families formed the least inclusive monophyletic group that contains all core members of the 3 classical scombroid families (Gempylidae, Trichiuridae, Scombridae; total 15 families) and constituent species of those 15 families were all pelagic. Based on these observations, we sampled 56 species from those 15 families (ingroup) and 68 outgroup species including representative pelagic percomorph taxa (total 124 species; for a list of species and accession numbers, see Table S3). We generated new whole mitogenome sequences for 37 ingroup and 18 outgroup species using a combination of long and short polymerase chain reactions (PCRs) and direct cycle sequencing techniques .
Whole mitogenome sequences from the 124 species were concatenated with the pre-aligned sequences used in Azuma et al.  in a FASTA format and they were together subjected to multiple alignment using MAFFT. We excluded the ND6 gene from the mt 13 protein-coding genes because of its heterogeneous base composition and poor phylogenetic performance .
Unambiguously aligned sequences were used to construct four data sets that treated 12 protein-coding genes differently. The first data set excluded quickly saturated transitional changes in the third codon positions by converting purine (A/G) and pyrimidine (C/T) nucleotides to A and C, respectively (12n3rRTn where “R” and “T” denote ribosomal and transfer RNA genes, respectively, and the subscripts “n” and “r” denote nucleotides and a modified RY-coding, respectively, following Saitoh et al. ). The second data set (123nRTn) included all codon positions, while the third one (12nRTn) excluded third codon positions entirely. The fourth data set converted protein-coding genes into amino acids (designated as 123aRTn). All 4 data sets are deposited in DataDryad and available from http://datadryad.org/resource/doi:10.5061/dryad.5ns57.
These 4 data sets were divided into 3–5 partitions depending on the data set (three partitions in the 123aRTn data set, four partitions in the 12nRTn data set, and five partitions in the 12n3rRTn and 123nRTn data sets) and subjected to partitioned ML analysis using RAxML . A general time reversible model with sites following a discrete gamma distribution (GTR+gamma) was used and a rapid bootstrap (BS) analysis was conducted with 1000 replications (–f a option). For amino acid sequences, the MTREV model  with sites following a discrete gamma distribution (Γ) was used.
Probabilities of alternative hypotheses were calculated using the likelihood-based approximately unbiased (AU) test , an alternative to the more commonly used SH test , as implemented in CONSEL v. 0.1 k . We manually created constrained tree topologies with reference to alternative hypotheses and then performed RAxML analysis with each constraint. We conducted fast bootstrapping with 100 replicates as described above, and the resulting best-scoring ML tree was considered as the constrained ML tree. The constrained and unconstrained ML trees (best-scoring ML tree without constraint) were used to compute the per-site log likelihood scores for each tree using the –f g option in RAxML and the output was subjected to CONSEL  analysis to calculate statistical significance of the differences in likelihood scores.
Divergence Time Estimation
A relaxed molecular-clock method implemented in an MCMCTREE program in PAML v. 4.5  was used for dating analysis with the best-scoring ML tree from the 12n3rRTn data set as the best estimate of the phylogeny following the argument by Saitoh et al. . The ML estimates of branch lengths were obtained with the 12nRTn data set under the GTR+gamma substitution model to avoid overestimation with quickly saturated third codon positions . The independent-rates (IR) model was used, where the rates follow a log-normal distribution (i.e., the logarithm of the rate is normally distributed). MCMC approximation with a burn-in period of 10,000 cycles was obtained, with samples taken every 50 cycles in order to create a total of 10,000 samples. To diagnose possible failure of the Markov chains to converge to their stationary distribution, two replicate MCMC runs were performed with two different random seeds for each analysis. MCMC samples from the two runs were combined after checking the distributions of parameter values using Tracer 1.5 (available from http://tree.bio.ed.ac.uk/software/tracer/). The number of samples (20,000) was large enough to reach effective sample sizes (ESSs >200) for all parameters estimated in this study.
Five fossil-based time constraints outside the clade of 15 families were used following Near et al.  with slight updates (see Table 6). As these fossil-based time constraints were well documented and their phylogenetic placement could be justified, the minimum- and maximum-bound densities were assumed using the two shape parameters (p and c) of the truncated Cauchy distribution . A separate dating analysis was performed with three additional biogeographic constraints based on concordance between the sequence of Gondwanan breakup and patterns of cichlid divergences . Although scombroids and their close relatives are well represented in the fossil record, we did not apply any calibrations within our ingroup so that our results would represent a truly independent check on paleontological timescales for the radiation of this clade.
Database of Fossil Occurrences and Estimated Confidence Intervals
We assembled a database of fossil representatives of the 15 families of Pelagia through a literature review combined with the Paleobiology Database (PBDB; www.paleodb.org). Specifically, we attempted to estimate the approximate number of horizons yielding body-fossil remains of these pelagian families in order to establish probabilistic confidence limits for first appearances that can be compared to molecular-clock divergence time estimates within Pelagia. In addition to the age of localities and the genera of Pelagia that they are reported to yield, we have also recorded whether the material found at these sites is articulated or consists of fragmentary remains.
Unfortunately, no family assigned to Pelagia has been the focus of a published cladistic analysis that includes both fossil and living taxa. Hypothesized placements of fossil members of Pelagia exist, but either take the form of hand-drawn trees, verbal arguments, or cladograms in unpublished theses . In addition, the identification of some fossils, especially those represented by highly fragmentary remains (e.g., teeth), is often based on overall similarity rather than specific apomorphies. A revision of the rich fossil record of Pelagia is well beyond the scope of this analysis. Rather, it is our aim to determine the degree to which the fossil record of the group, as it is currently understood, agrees with the independent evolutionary timescale we have estimated using molecular datasets combined with fossil calibrations not belonging to Pelagia.
For many examples, we are uncertain whether relevant fossils belong to crown families or lie on the familial stem, outside the crown. In light of the limited information concerning the precise relationships of fossil taxa to modern representatives of Pelagia, we argue that it is most appropriate to organize extinct taxa relative to the total-group families to which they most likely belong. Therefore the paleontological estimates we estimate here pertain to total-group–rather than crown-group–ages. Following Monsch , we consider the placement of some Paleogene genera (Tamesichthys, Eocoelopoma, Scombramphodon, Spyraenodus, Wetherellus, Woodwardella) traditionally associated with Scombridae as incertae sedis with respect to core members of a classical Scombroidei. Our molecular result resolves Gempylidae as a grade, but most fossils identified as gempylids are not sufficiently well described for us to determine to which of the two lineages they should be assigned. We therefore place all gempylid fossils in a single category, and acknowledge that our fossil age estimate represents that for a potentially non-monophyletic group. Finally, we have not made a count of fossils assigned to the extinct Euzaphlegidae, an ill-defined and likely para- or polyphyletic assemblage of taxa that share many features with members of the classical Scombroidei , . Euzaphlegids are relatively common in Paleogene fish assemblages, particularly those thought to be deposited in more open marine settings. A better understanding the relationships of Pelagia might help to better interpret the likely affinities of individual taxa assigned to this problematic extinct group.
We provide an account of the first appearances of each of the 15 families of Pelagia in Text S1. Where first appearances are based on highly fragmentary remains (e.g., isolated teeth), we have also provided first appearances based on articulated or associated body fossils that might be considered more reliable markers. First appearances in the fossil record will always underestimate true times of origin, so comparisons between first appearances as gauged from a literal reading of paleontological data with molecular clock estimates for the same divergence events are of questionable value. Therefore, we have estimated confidence limits on the time of origin for each of the families of Pelagia for which this is possible. We have calculated two-tailed 95% confidence intervals for the first appearance of these groups using the expressions provided by Strauss and Sadler  and Marshall :where CIα equals the age of the confidence limit for the origin of the group, FAD is the age of the oldest fossil assigned to the group, R is the stratigraphic range of the group, α is the level of confidence, and Nh is the number of horizons yielding remains of the group. Two-tailed 95% confidence intervals for the origin of the group correspond to CI0.975 (upper [oldest] CI) and CI0.05 (lower [youngest] CI). We have used the unbiased maximum-likelihood point estimator for the time of first origin based on fossils in our comparisons with molecular timescales for evolution within Pelagia. This is given by Strauss & Sadler  as:
where is the unbiased maximum-likelihood point estimate for the time of evolutionary origin, Nh is as in the previous expression, y is the age of the oldest observed occurrence, and z is the age of the youngest observed occurrence.
The approach outlined above assumes uniform preservation potential over the history of a group, an assumption that is very unlikely to be met , . Preservation potential can vary as a function of many factors, the most obvious being changes in the taxonomic richness or numerical abundance of a clade over its evolutionary history, and variation in the nature of the stratigraphic record that might favor preservation in some intervals more so than others. In order to test how sensitive our estimated paleontological timescales are to variation in preservation potential over time, we have also calculated CI0.5 for families where this is possible under the assumption that preservation potential for each was an order of magnitude higher during its observed fossil range than in earlier parts of its evolutionary history (this is indicated as CI0.5, 10%). These and other CI are given in the spreadsheets associated with this supplement (Tables S4, S5).
Depth ranges of ingroup species were accessed from FishBase using the package rfishbase  for R . Mean depths were calculated for those species where minimum and maximum depths were given. We then mapped depth ecology onto our time-scaled phylogenies, visualizing patterns of evolution in depth preferences using the phytools package . This method computes maximum-likelihood estimates of ancestral states by sequentially re-rooting the tree at each internal node and calculating the contrast state at the root using Felsenstein’s  contrast algorithm. States along each branch are then interpolated using equation 2 of Felsenstein .
Node numbers for reference to the estimated node ages and 95% credible intervals shown in Table S2.
Summary of node ages in MCMCTREE analysis with two different node constraints (fossil constraints only vs. fossil constraints plus cichlid biogeography). For node number, see Fig. S1.
List of species used in the bioinformatic analysis.
List of species used in the mitogenomic analysis.
Fossil horizons yielding the 15 families of Pelagia.
Paleontological timescale for the 15 families of Pelagia.
First appearances of the 15 families of Pelagia as body fossils.
We sincerely thank A. Bentley, P.J. Smith, E.O. Wiley, M. Yamaguchi, and Center for Molecular Biodiversity Research, National Museum of Science and Nature, for their donation of tissue specimens and S.M. Shirai for providing a mitogenomic sequence from the outgroup. We also thank H. Senou for use of many photos of Pelagia in his care and M. Okamoto for providing information on the rare Amarsipidae. Comments from P. Chakrabarty greatly improved the manuscript.
Conceived and designed the experiments: MM MF HT M. Nishida. Performed the experiments: MM TPS HT TS YY M. Nakatani KM JGI JYP YS. Analyzed the data: MM MF WI TF. Contributed reagents/materials/analysis tools: WI TF. Wrote the paper: MM MF.
- 1. Helfman GS, Collette BB, Facey DE, Bowen BW (2009) The diversity of fishes. Oxford, UK: Wiley-Blackwell. xviii +720 p.
- 2. Allen LG, Cross JN (2006) Surface waters. In: Allen LG, Pondella DJ, Horn MH, editors. The ecology of marine fishes: California and adjacent waters. Berkeley: University of California Press. 320–341.
- 3. Tyus HM (2012) Ecology and coservation of fishes. London: CRC Press. 529 p.
- 4. Froese R, Pauly D (2000) FishBase 2000: concepts, design and data sources. Los Baños, Laguna, Phillipines: ICLARM.
- 5. Magnuson JJ (1979) Locomotion by scombrid fishes: hydromechanics, morphology, and behavior. In: Hoar WS, Randall DJ, editors. Fish physiology. London: Academic Press. 239–313.
- 6. Miyake M, Guillotreau P, Sun CH, Ishimura G (2010) Recent developments in the tuna industry: stocks, fisheries, management, processing, trade and markets. Rome: FAO. 125 p.
- 7. Collette BB, Potthoff T, Richards WJ, Ueyanagi S, Russo JL, et al.. (1984) Scombroidei: development and relationships. In: Moser HG, Richards WJ, Cohen DM, Fahay MP, Kendall Jr AW et al.., editors. Ontogeny and systematics of fishes. Lawrence, KA: Am. Soc. Ichthyol. Herpetol. Spec. Publ. 591–620.
- 8. Johnson GD (1986) Scombroid phylogeny: an alternative hypothesis. Bull Mar Sci 39: 1–41.
- 9. Block BA, Finnerty JR, Stewart AFR, Kidd J (1993) Evolution of endothermy in fish: mapping physiological traits on a molecular phylogeny. Science 260: 210–210.
- 10. Orrell TM, Collette BB, Johnson GD (2006) Molecular data support separate scombroid and xiphioid clades. Bull Mar Sci 79: 505–519.
- 11. Jondeung A, Karinthanyakit W (2010) The complete mitochondrial DNA sequence of the short mackerel (Rastrelliger brachysoma), and its phylogenetic position within Scombroidei, Perciformes. Mitochondrial DNA 21: 36–47.
- 12. Nelson JS (2006) Fishes of the world. Hoboken, NJ: John Wiley & Sons. xx +601 p.
- 13. Regan CT (1909) On the anatomy and classification of the scombroid fishes. Ann Mag Nat Hist 8: 66–75.
- 14. Tyler JC, Johnson GD, Nakamura I, Collette BB (1989) Morphology of Luvarus imperialis (Luvaridae), with a phylogenetic analysis of the Acanthuroidei (Pisces). Smithson Contrib Zool 485: 1–78.
- 15. Little AG, Lougheed SC, Moyes CD (2010) Evolutionary affinity of billfishes (Xiphiidae and Istiophoridae) and flatfishes (Plueronectiformes): Independent and trans-subordinal origins of endothermy in teleost fishes. Mol Phylogenet Evol 56: 897–904.
- 16. Near TJ, Eytan RI, Dornburg A, Kuhn KL, Moore JA, et al. (2012) Resolution of ray-finned fish phylogeny and timing of diversification. Proc Natl Acad Sci USA 109: 13698–13703.
- 17. Betancur-R R, Broughton RE, Wiley EO, Carpenter K, López JA, et al.. (2013) The Tree of Life and a new classification of bony fishes. PLoS Currents: Tree of Life.
- 18. Li B, Dettaï A, Cruaud C, Couloux A, Desoutter-Meniger M, et al. (2009) RNF213, a new nuclear marker for acanthomorph phylogeny. Mol Phylogenet Evol 50: 345–363.
- 19. Yagishita N, Miya M, Yamanoue Y, Shirai SM, Nakayama K, et al. (2009) Mitogenomic evaluation of the unique facial nerve pattern as a phylogenetic marker within the percifom fishes (Teleostei: Percomorpha). Mol Phylogenet Evol 53: 258–266.
- 20. Chen WJ, Bonillo C, Lecointre G (2003) Repeatability of clades as a criterion of reliability: a case study for molecular phylogeny of Acanthomorpha (Teleostei) with larger number of taxa. Mol Phylogenet Evol 26: 262–288.
- 21. Dettaï A, Lecointre G (2008) New insights into the organization and evolution of vertebrate IRBP genes and utility of IRBP gene sequences for the phylogenetic study of the Acanthomorpha (Actinopterygii: Teleostei). Mol Phylogenet Evol 48: 258–269.
- 22. Smith WL, Craig MT (2007) Casting the percomorph net widely: the importance of broad taxonomic sampling in the search for the placement of serranid and percid fishes. Copeia 2007: 35–55.
- 23. Wainwright PC, Smith WL, Price SA, Tang KL, Sparks JS, et al. (2012) The evolution of pharyngognathy: a phylogenetic and functional appraisal of the pharyngeal jaw key innovation in labroid fishes and beyond. Syst Biol 61: 1001–1027.
- 24. Schluter D (2000) The ecology of adaptive radiation. New York: Oxford University Press.
- 25. Simmons MP, Zhang LB, Webb CT, Reeves A (2006) How can third codon positions outperform first and second codon positions in phylogenetic inference? An empirical example from the seed plants. Syst Biol 55: 245–258.
- 26. Saitoh K, Sado T, Mayden RL, Hanzawa N, Nakamura K, et al. (2006) Mitogenomic evolution and interrelationships of the Cypriniformes (Actinopterygii: Ostariophysi): The first evidence toward resolution of higher-level relationships of the World’s largest freshwater fish clade based on 59 whole mitogenome sequences. J Mol Evol 63: 826–841.
- 27. Strauss D, Sadler PM (1989) Classical confidence intervals and Bayesian probability estimates for ends of local taxon ranges. Math Geol 21: 411–427.
- 28. Marshall CR (1990) Confidence intervals on stratigraphic ranges. Paleobiol 16: 1–10.
- 29. Carpenter KE, Collette BB, Russo JL (1995) Unstable and stable classifications of scombroid fishes. Bull Mar Sci 56: 379–405.
- 30. Okamoto M, Hoshino K, Jintoku T (2011) First record of Amarsipus carlsbergi (Perciformes: Stromateoidei: Amarsipidae) from Japan and a northernmost range extension. Biogeography 13: 25–29.
- 31. Horn MH (1984) Stromateoidei: development and relationships. In: Moser HG, Richards WJ, Cohen DM, Fahay MP, Kendall AW Jr, et al.., editors. Ontogeny and Systematics of Fishes. Lawrence, KA: Am. Soc. Ichthyol. Herpetol. Spec. Publ. 620–628.
- 32. Betancur-R R, Broughton RE, Wiley EO, Carpenter K, López JA, et al.. (2013) The Tree of Life and a new classification of bony fishes. PLoS Currents: Tree of Life 5.
- 33. Broughton RE, Betancur-R R, Li C, Arratia G, Ortí G (2013) Multi-locus phylogenetic analysis reveals the pattern and tempo of bony fish evolution. PLoS Currents: Tree of Life 5.
- 34. Marshall NB (1979) Development in deep-sea biology. Poole, Dorset, UK: Blandford Press.
- 35. Koblmüller S, Sefc KM, Sturmbauer C (2008) The Lake Tanganyika cichlid species assemblage: recent advances in molecular phylogenetics. Hydrobiol 615: 5–20.
- 36. Glor RE (2010) Phylogenetic insights on adaptive radiation. Annu Rev Ecol Evol Syst 41: 251–270.
- 37. Benfield MC, Caruso JH, Sulak KJ (2009) In situ video observations of two manefishes (Perciformes: Caristiidae) in the mesopelagic zone of the northern Gulf of Mexico. Copeia 2009: 637–641.
- 38. Melo MRS (2009) Revision of the genus Chiasmodon (Acanthomorpha: Chiasmodontidae), with the description of two new species. Copeia 2009: 583–608.
- 39. Jenkins RL (1983) Observations on the commensal relationship of Nomeus gronovii with Physalia physalis. Copeia 1983: 250–252.
- 40. Janssen J, Harbison GR (1981) Fish in salps: the association of squaretails (Tetragonurus spp.) with pelagic tunicates. J Mar Biol Assoc UK 61: 917–927.
- 41. Cavin L (2001) Effects of the Cretaceous-Tertiary boundary event on bony fishes. In: Buffetaut E, Koeberl C, editors. Geological and biological effects of impact events. Berlin, Germany: Springer Verlag. 141–158.
- 42. Friedman M (2009) Ecomorphological selectivity among marine teleost fishes during the end-Cretaceous extinction. Proc Natl Acad Sci USA 106: 5218–5223.
- 43. Friedman M, Sallan LC (2012) Five hundred million years of extinction and recovery: a Phanerozoic survey of large-scale diversity patterns in fishes. Palaeontol 55: 707–742.
- 44. Friedman M (2010) Explosive morphological diversification of spiny-finned teleost fishes in the aftermath of the end-Cretaceous extinction. Proc R Soc B 277: 1675–1683.
- 45. Santini F, Carnevale G, Sorenson L (2013) First molecular scombrid timetree (Percomorpha: Scombridae) shows recent radiation of tunas following invasion of pelagic habitat. Ital J Zool 80: 210–221.
- 46. Kriwet J (2004) Neoselachian (Chondrichthyes, Elasmobranchii) diversity across the Cretaceous-Tertiary boundary. Palaeogeogr Palaeoclimatol Palaeoecol 214: 181–194.
- 47. Katoh K, Toh H (2008) Recent developments in the MAFFT multiple sequence alignment program. Brief Bioinformatics 9: 286–298.
- 48. Stamatakis A (2006) RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 22: 2688–2690.
- 49. Lanave C, Preparata G, Sacone C, Serio G (1984) A new method for calculating evolutionary substitution rates. J Mol Evol 20: 86–93.
- 50. Stamatakis A, Hoover P, Rougemont J (2008) A rapid bootstrap algorithm for the RAxML web servers. Syst Biol 57: 758–771.
- 51. Miya M, Nishida M (1999) Organization of the mitochondrial genome of a deep-sea fish, Gonostoma gracile (Teleostei: Stomiiformes): first example of transfer RNA gene rearrangements in bony fishes. Mar Biotechnol 1: 416–426.
- 52. Azuma Y, Kumazawa Y, Miya M, Mabuchi K, Nishida M (2008) Mitogenomic evaluation of the historical biogeography of cichlids toward reliable dating of teleostean divergences. BMC Evol Biol 8: 215.
- 53. Miya M, Nishida M (2000) Use of mitogenomic information in teleostean molecular phylogenetics: a tree-based exploration under the maximum-parsimony optimality criterion. Mol Phylogenet Evol 17: 437–455.
- 54. Adachi J, Hasegawa M (1996) Model of amino acid substitution in proteins encoded by mitochondrial DNA. J Mol Evol 42: 459–468.
- 55. Shimodaira H (2002) An approximately unbiased test of phylogenetic tree selection. Syst Biol 51: 492–508.
- 56. Shimodaira H, Hasegawa M (1999) Multiple comparisons of log-likelihoods with applications to phylogenetic inference. Mol Biol Evol 16: 1114–1116.
- 57. Shimodaira H, Hasegawa M (2001) CONSEL: for assessing the confidence of phylogenetic tree selection. Bioinformatics 17: 1246–1247.
- 58. Yang Z (2007) PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol 24: 1586–1591.
- 59. Brandley MC, Wang Y, Guo X, de Oca ANM, Fería-Ortíz M, et al. (2011) Accommodating heterogenous rates of evolution in molecular divergence dating methods: an example using intercontinental dispersal of Plestiodon (Eumeces) lizards. Syst Biol 60: 3–15.
- 60. Monsch KA (2004) Revision of the scombroid fishes from the Cenozoic of England. Transactions of the Royal Society of Edinburgh: Earth Sciences 95: 445–489.
- 61. Monsch KA, Bannikov AF (2011) New taxonomic synopses and revision of the scombroid fishes (Scombroidei, Perciformes), including billfishes, from the Cenozoic of territories of the former USSR. Earth and Environmental Science Transactions of the Royal Society of Edinburgh 102: 253–300.
- 62. Patterson C (1993 ) Osteichthyes: Teleostei. In: Benton MJ, editor. The fossil record 2. London, UK: Chapman & Hall. 621–656.
- 63. Marshall CR (1997) Confidence intervals on stratigraphic ranges with nonrandom distributions of fossil horizons. Paleobiol 23: 165–173.
- 64. Marshall CR, Bleiweiss R (1999) Fossil gap analysis supports early Tertiary origin of trophically diverse avian orders: Comment and Reply. Geology 27: 95–96.
- 65. Boettiger C, Lang DT, Wainwright PC (2012) rfishbase: exploring, manipulating and visualizing FishBase data from R. J Fish Biol. 81: 2030–2039.
- 66. Team RDC (2007) R: A language and environment for statistical computing. Vienna, Austria: R Foundation Statistical Computing.
- 67. Revell LJ (2012) phytools: an R package for phylogenetic comparative biology (and other things). Meth Ecol Evol 3: 217–223.
- 68. Felsenstein J (1985) Phylogenies and the comparative method. Am Nat 125: 1–15.
- 69. Patterson C (1964) A review of Mesozoic acanthopterygian fishes, with special reference to those of the English Chalk. Philos Trans R Soc Lond, Ser B: Biol Sci 247: 213–482.
- 70. Patterson C (1993) An overview of the early fossil record of acanthomorphs. Bull Mar Sci 52: 29–59.
- 71. Owen E (1987) Palaeontological Association field guides to fossils. In: Smith AB, editor. Fossils of the Chalk. Oxford, UK: Oxford University Press. 9–14.
- 72. Rosen DE (1973) Interrelationships of higher euteleostean fishes. In: Greenwood PHJ, Miles RS, Patterson C, editors. Interrelationships of fishes. London: Academic Press. 397–513.
- 73. Bannikov AF (1990) Fossil carangids and apolectids of the USSR. Trudy Paleontol Inst Akad Nauk SSSR 244: 1–108.
- 74. Smith-Vaniz WF (1984) Carangidae: relationships. In: Moser HG, Richards WJ, Cohen DM, Fahay MP, Kendall AW Jr, et al.., editors. Ontogeny and Systematics of Fishes. Lawrence, KA: Am. Soc. Ichthyol. Herpetol. Spec. Publ. 522–533.
- 75. Bannikov AF, Parin NN (1997) The list of marine fishes from Cenozoic (Upper Paleocene-Middle Miocene) localities in southern European Russia and adjacent countries. J Ichthyol 37: 133–146.
- 76. Gradstein FM, Ogg JG, Schmitz M (2012) A geologic time scale 2012. Amsterdam: Elsevier.
- 77. Marshall CR (2008) A simple method for bracketing absolute divergence times on molecular phylogenies using multiple fossil calibration points. Am Nat 171: 726–742.
- 78. Friedman M, Johanson Z (2012) †Opisthomyzon glaronensis (Wettstein, 1886) (Acanthomorpha, †Opisthomyzonidae), a junior synonym of †Uropteryx elongatus Agassiz, 1844. J Vert Paleontol 32: 1202–1206.
- 79. Micklich N (1998) New information on the fishfauna of the Frauenweiler fossil site. Ital J Zool 65: 169–184.
- 80. Johnson GD (1984) Percoidei: development and relationships. In: Moser HG, Richards WJ, Cohen DM, Fahay MP, Kendall AW Jr, et al.., editors. Ontogeny and Systematics of Fishes. Lawrence, KA: Am. Soc. Ichthyol. Herpetol. Spec. Publ. 464–498.
- 81. O’Toole B (2002) Phylogeny of the species of the superfamily Echeneoidea (Perciformes: Carangoidei: Echeneidae, Rachycentridae, and Coryphaenidae), with an interpretation of echeneid hitchhiking behaviour. Can J Zool 80: 596–623.
- 82. Fischer H, Villa IM (1990) Erste K/Ar-und 40Ar/39Ar-Hornblende-Mineralalter des Taveyannaz-Sandsteins. Schweiz Mineral Petrograph Mitteil 70: 73–75.
- 83. Gasser D, Den Brok B (2008) Tectonic evolution of the Engi slates, Glarus alps, Switzerland. Swiss J Geosci 101: 311–322.
- 84. Micklich NR, Tyler JC, Johnson GD, Swidnicka E, Bannikov AF (2009) First fossil records of the tholichthys larval stage of butterfly fishes (Perciformes, Chaetodontidae), from the Oligocene of Europe. Paläontol Zeits 83: 479–497.
- 85. Sorbini L (1980) The Cretaceous fishes of Nardò. I°. Order Gasterosteiformes (Pisces). Boll Mus Civ Sto Nat Verona 8: 1–27.
- 86. Pietsch TW (1978) Evolutionary relationships of the sea moths (Teleostei: Pegasidae) with a classification of gasterosteiform families. Copeia 1978: 517–529.
- 87. Orr JW (1995) Phylogenetic relationships of gasterosteiform fishes(Teleostei: Acanthomorpha) [Ph.D. thesis]. Seattle, WA: University of Washington.
- 88. Medizza F, Sorbini L (1980) Il giacimento del Salento (Lecce). I vertebrati fossili italiani Catalogo della Mostra, Verona. Verona, Italy: Museo Civico di Storia Naturale, Verona. 131–134.
- 89. Blot J (1980) The ichthyofauna of the deposits of Monte Bolca (Province de Vérone, Italie). Catalogue systématique présentat l’état actuel des recherches concernant cette faune. Bull Mus Natl Hist Nat Paris 2: 339–396.
- 90. Andrea Papazzoni C, Trevisani E (2006) Facies analysis, palaeoenvironmental reconstruction, and biostratigraphy of the “Pesciara di Bolca” (Verona, northern Italy): An early Eocene Fossil-Lagerstätte. Palaeogeogr Palaeoclimatol Palaeoecol 242: 21–35.