Literature DB >> 35404473

True seals achieved global distribution by breaking Bergmann's rule.

James P Rule1,2, Felix G Marx3,4, Alistair R Evans2,5, Erich M G Fitzgerald2,5,6,7, Justin W Adams1,2.   

Abstract

True seals (phocids) have achieved a global distribution by crossing the equator multiple times in their evolutionary history. This is remarkable, as warm tropical waters are regarded as a barrier to marine mammal dispersal and-following Bergmann's rule-may have limited crossings to small-bodied species only. Here, we show that ancestral phocids were medium sized and did not obviously follow Bergmann's rule. Instead, they ranged across a broad spectrum of environmental temperatures, without undergoing shifts in temperature- or size-related evolutionary rates following dispersals across the equator. We conclude that the tropics have not constrained phocid biogeography.
© 2022 The Authors. Evolution published by Wiley Periodicals LLC on behalf of The Society for the Study of Evolution.

Entities:  

Keywords:  Antitropical distribution; Bergmann's rule; Phocidae; biogeography; body size; sea surface temperature

Mesh:

Year:  2022        PMID: 35404473      PMCID: PMC9321958          DOI: 10.1111/evo.14488

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   4.171


The global distribution of true seals reflects their success as secondarily aquatic tetrapods. Since returning to the water, they have evolved a wide range of body sizes (Churchill et al. 2015), adapted to thermoregulation in aquatic environments (Liwanag et al. 2012), and dispersed around the globe (Berta et al. 2015). Their current range includes both polar regions and the tropics (Berta et al. 2018; Fig. 1), resulting in conflicting hypotheses as to whether they originated in a cold (Fulton and Strobeck 2010; Davies 1958a, 1958b) or warm environment (Repenning et al. 1979; Deméré et al. 2003; Fyler et al. 2005; Mason et al. 2020).
Figure 1

Biogeography of crown Phocidae. (a) Phylogeny of extant true seals (Rule et al. 2021b) with geographic distributions. (b) Dispersals for crown‐phocids (modified from Rule et al. 2020a), with the tropics in light red and polar environments in light blue. (c) Variation of Sea Surface Temperature by latitude through time (Herbert et al. 2016), demonstrating consistently high temperatures in the tropics, and broader Sea Surface Temperatures across latitudes closer to the present.

Biogeography of crown Phocidae. (a) Phylogeny of extant true seals (Rule et al. 2021b) with geographic distributions. (b) Dispersals for crown‐phocids (modified from Rule et al. 2020a), with the tropics in light red and polar environments in light blue. (c) Variation of Sea Surface Temperature by latitude through time (Herbert et al. 2016), demonstrating consistently high temperatures in the tropics, and broader Sea Surface Temperatures across latitudes closer to the present. Modern marine mammals are mostly cold adapted, with their relatively large size and blubber insulation putting them at risk of overheating in warm environments (Davies 1958a, 1963; Holt et al. 2020). Consequently, they are thought to follow Bergmann's rule (Bergmann 1847), which postulates an inverse relationship between body size and environmental temperature (Sepúlveda et al. 2013; Torres‐Romero et al. 2016; Adamczak et al. 2020). If so, warm tropical waters should be home to relatively small body forms only, whereas larger species might be expected to show antitropical distributions (Holt et al. 2020). True seals arose in the Northern Hemisphere (Fulton and Strobeck 2010; Fig. 1). Their earliest (Miocene—Pliocene) Southern Hemisphere representatives are notably small (Rule et al. 2021a). This perhaps indicates restricted cross‐equatorial dispersal consistent with Bergmann's rule, as the latitudinal thermal gradient was present throughout the Neogene (Fig. 1c). Yet phocids appear to have crossed the tropics several times during their evolutionary history (Rule et al. 2020a; Fig. 1), in stark contrast to the single major southern dispersal of their otariid cousins, the fur seals and sea lions (Yonezawa et al. 2009; Churchill et al. 2014). Here, we test phocid dispersal capabilities by testing whether (i) equatorial crossings were accompanied by notable shifts in body size and/or environmental temperature, and (ii) Bergmann's rule truly applies to them.

Materials and Methods

We based our study on the phylogeny of Rule et al. (2020a, 2021b), excluding tips with no phenotypic and/or environmental data. Analyses were carried out in RStudio version 1.2.1335 (R Version 3.6.0) using the packages “ape,” “phytools,” “geiger,” “ratematrix,” “nlme,” and “RRphylo” (Paradis et al. 2004; Revell 2012; Pennell et al. 2014; Caetano and Harmon 2017; Pinheiro et al. 2017; Castiglione et al. 2018). Taxa resolved as ancestors in the original tree were assigned artificial branch lengths of 0.01 million years to enable analyses to run. Maximum and minimum total body lengths for each specimen were taken from the literature (Stirling 1971; King 1983; Modig 1996; Andersen et al. 1999; Bininda‐Emonds and Gittleman 2000; Samaranch and Gonzalez 2000; Lindenfors et al. 2002; Laws et al. 2003; Rogers 2009; Churchill et al. 2015; Valenzuela‐Toro et al. 2016; Dewaele et al. 2017; Rule et al. 2020b, 2021a; Tables A3, A4) or, where unavailable (for 12 out of 17 extinct taxa), maximum total body length was estimated following Rule et al. (2020b; Tables A1, A2). All length data were then log10 transformed prior to analysis. For extant species, we used the minimum, median, and maximum sea surface temperature (SST) of their entire geographic range (IUCN Red List) as a proxy for environmental temperature (Appendix). For extinct taxa, median SST estimates aligning with the tip age and geographic region of the fossils in question were taken from the literature (Dowsett and Wiggs 1992; Barrick et al. 1993; Warne 2005; Amiot et al. 2008; Dowsett et al. 2012; Herbert et al. 2016). We used median SST (Tables A5, A6) to enable direct comparisons between extant and extinct phocids, and to account for migratory movements meant to avoid seasonal extremes.
Table A3

Average of estimates of total body length for extinct taxa taken from the literature, or calculated in this study

TaxonBody Length (m) Averaged EstimatesSource and Method
Noriphoca gaudini 2.29Churchill et al. (2015) (CW, PL, BZB, LUPC)
Devinophoca emyri 1.64Churchill et al. (2015) (BZB, WB, LUPC, LB)
Devinophoca claytoni1.68Churchill et al. (2015) (BZB, WB, LUPC, CW, LB)
Kawas benegasorum1.63Rule et al. (2020a)
CM ZFa333 Motunau †1.64Churchill et al. (2015) (LB, WB)
Leptophoca proxima2.09Churchill et al. (2015) (All subsets)
Nanophoca vitulinoides0.98Dewaele et al. (2017) (Modified for this study using Phocinae humeri percentages only)
Monotherium wymani1.64Churchill et al. (2015) (WB, LB)
Homiphoca capensis1.80Churchill et al. (2015)
Piscophoca pacifica1.96Churchill et al. (2015)
Acrophoca longirostris1.91Churchill et al. (2015)
Hadrokirus martini2.70Churchill et al. (2015) (All subsets)
Australophoca changorum0.68Valenzuela‐Toro et al. (2016)
Sarcodectes magnus2.83Churchill et al. (2015) and Rule et al. (2020b) (LUTR, LUPC, WB, LB) and Dewaele et al. (2017) (Monachinae humeri percentages only)
Pliophoca etrusca1.69Churchill et al. (2015) (CW) and Dewaele et al. (2017) (Monachinae humeri percentages only)
NMV P160399 Beaumaris †1.58Churchill et al. (2015) (WB, LB)
Eomonachus belegaerensis2.47Churchill et al. (2015) (BZB, WB, LB, OCB, HOC, LUPC, LUTR)
Table A4

Total body length of extant taxa taken from the literature

TaxonMaximum Body Length (m)Maximum Male Body Length (m)Maximum Female Body Length (m)Reference
Erignathus barbatus 2.542.542.42Andersen et al. (1999)
Cystophora cristata 2.62.62.06Bininda‐Emonds and Gittleman (2000)
Histriophoca fasciata 1.551.531.55Bininda‐Emonds and Gittleman (2000)
Pagophilus groenlandicus 1.761.761.69Bininda‐Emonds and Gittleman (2000)
Phoca largha 1.691.691.59Bininda‐Emonds and Gittleman (2000)
Phoca vitulina 1.801.81.65Lindenfors et al. (2002)
Halichoerus grypus 2.162.161.8Bininda‐Emonds and Gittleman (2000)
Pusa capsica 1.501.51.36Bininda‐Emonds and Gittleman (2000)
Pusa sibirica 1.301.31.25Bininda‐Emonds and Gittleman (2000)
Pusa hispida 1.51.51.5King (1983)
Monachus monachus 2.72.72.65Samaranch and Gonzalez (2000) (male), Bininda‐Emonds and Gittleman (2000) (female)
Neomonachus schauinslandi 2.342.142.43Bininda‐Emonds and Gittleman (2000)
Neomonachus tropicalis 2.332.332.26Bininda‐Emonds and Gittleman (2000) (male)
Mirounga leonina 5.565.562.70Modig (1996) (male), Bininda‐Emonds and Gittleman (2000) (female)
Mirounga angustirostris 4.504.502.95Bininda‐Emonds and Gittleman (2000)
Lobodon carcinophagus 2.772.642.77Laws et al. (2003)
Ommatophoca rossii 33.002.50King (1983)
Hydrurga leptonyx 3.83.33.8Rogers (2009)
Leptonychotes weddellii 3.292.973.29King (1983), Stirling (1971) (female)
Table A1

Equations used for total body length estimations of extinct taxa

AcronymDefinitionEquationReference
BZBBizygomatic width1.03 × Log(#) + 1.10Churchill et al. 2014
CWWidth across canines0.72 × Log(#) + 1.83Churchill et al. 2014
HOCHeight of occipital shield1.30 × Log(#) + 1.28Churchill et al. 2014
LBLength of tympanic bulla0.75 × Log(#) + 1.91Churchill et al. 2014
LUPCLength of upper postcanine toothrow0.96 × Log(#) + 1.64Churchill et al. 2014
LUTRLength of upper toothrow1.00 × Log(#) + 1.50Churchill et al. 2014
OCBWidth across occipital condyles1.54 × Log(#) + 1.02Churchill et al. 2014
PLPalate length0.96 × Log(#) + 1.32Churchill et al. 2014
WBWidth of tympanic bulla1.08 × Log(#) + 1.58Churchill et al. 2014
P. sibirica % estimateHumerus 8.12% total body length in Pusa sibirica # / 0.0812Dewaele et al. 2017
P. vitulina % estimateHumerus 7.76% total body length in Phoca vitulina # / 0.077 6Dewaele et al. 2017
O. rossii % estimateHumerus 5.95% total body length in Ommatophoca rossii # / 0.0595Dewaele et al. 2017
L. weddellii % estimateHumerus 6.5% total body length in Leptonychotes weddellii # / 0.065Dewaele et al. 2017
Table A2

Estimations for total body length of extinct taxa

TaxaSpecimenEquation UsedMeasurement (mm)Value from EquationEstimate (mm)Average Estimate (mm)Notes
Noriphoca gaudini MSNUN 123BZB184.003.432708.712288.15Measurement data taken from Dewaele et al. (2018)
LUPC83.003.483036.09
CW61.003.121304.48
PL122.003.322103.32
Devinophoca emyri USNM 553684BZB127.703.271859.421638.92Measurement data taken from Koretsky and Rahmat (2015)
WB35.703.261806.68
LUPC46.903.241755.20
LB33.603.051134.37
Devinophoca claytoni Z14523BZB124.003.261803.951682.74Measurement data taken from Koretsky and Holec (2002)
WB49.303.412560.20
LUPC49.003.261830.58
CW40.002.98962.68
LB38.503.101256.31
MotunauCM Zfa333LB37.743.091237.661637.47
WB39.903.312037.28
Leptophoca proxima CMM‐V‐2021All SubsetsCW(33.05), OCB(51.43)3.322094.432094.43
Nanophoca vitulinoides IRSNB M2276c, IRSNB 1063‐M242, IRSNB M2278, IRSNB M2271, IRSNB M2276d, IRSNB 1105‐M239 P. sibirica % estimate 920.00982.50Total body length estimates for taken from Dewaele et al. (2017). Due to N. vitulinoides being a phocine, only phocine estimates were used.
P. vitulina % estimate1045.00
Monotherium wymani USNM 214909WB41.403.332120.121638.60USNM 214909 is a cast of MCZ 8741
LB34.503.061157.08
Hadrokirus martini MNHN.F.SAS 1627All SubsetsCW(52.70), OCB(56.90)3.432698.732698.73Measurement data taken from Amson and Muizon (2014)
Sarcodectes magnus USNM 475486LUTR109.763.543470.922831.29
LUPC91.323.523327.69
USNM 181601WB53.913.452819.70
LB51.423.191560.81
USNM 534034 O. rossii hum/body length180.443032.61
L. weddellii hum/body length2776.00
Pliophoca etrusca MSNUP I‐13993CW44.003.011031.061684.99Measurement data taken from Berta et al. (2015)
O. rossii hum/body length125.002100.84
L. weddellii hum/body length1923.08
BeaumarisNMV P160399LB35.663.071186.141580.86
WB38.783.301975.59
Eomonachus belegaerensis NMNZ S.046692BZB131.123.281910.732467.96
WB39.773.312030.11
LB31.243.031074.07
OCB51.053.654470.06
HOC66.023.654421.59
NMNZ S.047276LB35.853.081190.88
WB38.583.291964.59
NMNZ S.047422OCB52.073.664608.34
LB32.673.051110.74
WB38.183.291942.60
LUPC63.053.372331.83
CM 2020.74.1LUTR80.203.402536.15
LUPC67.563.402491.74
Table A5

Sea Surface Temperature data for extant taxa from NOAA Earth System Research Laboratory database

TaxonWinter SSTSummer SSTMedian SST
Erignathus barbatus 0–28–105
Cystophora cristata 0–28–105
Histriophoca fasciata 0–212–147
Pagophilus groenlandicus 0–212–147
Phoca largha 0–226–2814
Phoca vitulina 0–222–2412
Halichoerus grypus 2–418–2010
Pusa caspica 0–224–2613
Pusa sibirica 0–2157.5
Pusa hispida 0–212–147
Monachus monachus 14–1626–2821
Neomonachus schauinslandi 22–2428–2925.5
Neomonachus tropicalis 24–2629–3027
Mirounga leonina 0–210–168
Mirounga angustirostris 4–618–2012
Lobodon carcinophagus 0–26–84
Ommatophoca rossii 0–26–84
Hydrurga leptonyx 0–26–84
Leptonychotes weddellii 0–26–84
Table A6

Sea surface temperature (SST) estimate from the area and locality of fossil taxa

TaxonSSTDataReference
Monotherium wymani 14.7–24 (Median 19.35)Skeletal Oxygen IsotopeBarrick et al. (1993)
Leptophoca proxima 14.7–24 (Median 19.35)Skeletal Oxygen IsotopeBarrick et al. (1993)
Australophoca changorum 15.2Skeletal Oxygen IsotopeAmiot et al. (2008)
Hadrokirus martini 14.8Skeletal Oxygen IsotopeAmiot et al. (2008)
Acrophoca longirostris 14.8Skeletal Oxygen IsotopeAmiot et al. (2008)
Piscophoca pacifica 14.8Skeletal Oxygen IsotopeAmiot et al. (2008)
Sarcodectes magnus 21.5BiostratigraphyDowsett and Wiggs (1992), Dowsett et al. (2012)
Beaumaris15–20 (Median 17.5)BiostratigraphyWarne 2005
Eomonachus belegaerensis 17.6BiostratigraphyDowsett et al. (2012)
Motunau17.68Isotope (oxygen and carbon)Herbert et al. (2016)
Waipunga19.06Isotope (oxygen and carbon)Herbert et al. (2016)
Pliophoca etrusca 25.76Isotope (oxygen and carbon)Herbert et al. (2016)
Homiphoca capensis 20.79Isotope (oxygen and carbon)Herbert et al. (2016)
We examined the evolution of maximum total body length and median sea surface temperature (Table 1) for (i) extant species only, (ii) extant + extinct species minus ancestors (to rule out the possibility of ultrashort branch lengths producing artificial shifts), and (iii) the complete phylogeny via “RRphylo” (Castiglione et al. 2019a, 2018,b). For extant species only, we also analyzed minimum total body length, and minimum and maximum SST, to test the effects of extremes on the evolutionary analyses. Ancestral states of both traits (log10 total body length and SST) were estimated for the extant and complete datasets only. We tested for evolutionary rate shifts using the auto‐recognize feature of the search.shift function (Castiglione et al. 2018). Finally, we used the function overfitRR to measure the uncertainty associated with our RRphylo results.
Table 1

Summary statistics on datasets analyses. TBL = log10 total body length, SST = sea surface temperature

DatasetNMeanMedianMinimumMaximumStandard Deviation
Maximum TBL extant + extinct362.312.291.832.750.17
Maximum TBL minus ancestors262.372.372.112.750.15
Maximum TBL extant only192.372.372.112.750.17
Minimum TBL extant only192.322.332.522.520.13
Median SST extant + extinct3213.6014.404.0027.007.01
Median SST minus ancestors2612.3212.004.0027.007.02
Minimum SST extant only193.470.000.0024.007.63
Median SST extant only1910.377.504.0027.007.12
Maximum SST extant only1917.3715.008.0030.008.01
Summary statistics on datasets analyses. TBL = log10 total body length, SST = sea surface temperature We ran two sets of analyses to test for a possible relationship between log10 total body length and sea surface temperature (i.e., Bergmann's rule). First, we regressed maximum log10 total body length against median SST via a linear regression and phylogenetic generalized least squares. Second, we tested for correlated evolution via a Bayesian Markov chain Monte Carlo (MCMC) analysis of evolutionary rate matrices, as implemented in the package “ratematrix” (Caetano and Harmon 2017). We ran two chains for 1,000,000 generations, sampling every 1000 generations and discarding the first 25% as burn‐in. We checked the acceptance ratio for the two chain logs, and tested for convergence between them. When convergence was achieved, we merged the two MCMC chains and plotted the rate matrix to test for an evolutionary correlation between the two traits.

Results

For the evolutionary rate shift analyses, including ancestors in the phylogeny did not result in additional evolutionary shifts (Tables 3, 4), and the results of the extant + extinct evolutionary rate analyses were better supported than the extant only analyses (Tables 2, A7; Fig. A1). Extant‐only ancestral state estimations suggest that archaic phocines were far smaller (1.97−2.12 m) than monachines (2.56−2.93 m), with their last common ancestor being 2.32−2.50 m (Fig. 2). Phocids as a whole appear adapted to cold water (<12°C), with only monk seals being tolerant of warmer environments (Fig. 3). Taking into account fossil taxa reveals a more even pattern, with ancestral phocids, phocines, and monachines all showing a similar range of body lengths (1.64−2.25 m) and environmental temperatures (∼19°C) (Fig. 4).
Table 3

Results of the search.shift analysis of log10 total body length (TBL) in RRphylo. Only significant results are shown; for full results, see Supporting Information. ARD = Average Rate Difference

Extinct + Extant maximum TBL
CladeARD P‐value
D. emyri + D. claytoni + Kawas + Motunau–0.019<0.01
D. claytoni + Kawas + Motunau–0.022<0.01
Minus ancestors maximum TBL
CladeARD P‐value
Monachini–0.011<0.01
Extant only maximum TBL
CladeARD P‐value
Lobodontini + Miroungini–0.008<0.03
Extant only minimum TBL
CladeARD P‐value
Monachinae–0.006<0.01
Table 4

Results of the search.shift analysis of sea surface temperature (SST) in RRphylo. Only significant results are shown; for full results, see Supporting Information. ARD = Average Rate Difference

Minus ancestors median SST
CladeARD P‐value
Homiphoca + Hadrokirus + Piscophoca + Acrophoca –0.369<0.02
Extant only maximum SST
CladeARD P‐value
Lobodontini–0.658<0.01
Lobodontini + Mirounga–0.482<0.03
Extant only minimum SST
CladeARD P‐value
Cystophora + Phocini–0.594<0.01
Phocini–0.522<0.01
Halichoerus + Phoca + Pusa –0.387<0.01
Pusa –0.3700.03
Table 2

OverfitRR results for the 95% confidence intervals of the root value obtained by the RRphylo analysis. TBL = log10 total body length

DatasetRoot Value2.5% CI97.5% CI
Extant + extinct maximum TBL2.352.352.36
Minus ancestors maximum TBL2.362.362.36
Extant only minimum TBL2.372.162.38
Extant only maximum TBL2.42.22.42
Extant + extinct median SST19.2116.7919.28
Minus ancestors median SST14.1814.6214.81
Extant only Minimum SST1.740.180.4
Extant only Median SST7.155.2125.8
Extant only maximum SST12.5810.1227.62
Table A7

OverfitRR analysis of search.shift results, with 100 ancestral state estimation regression simulations. For each clade, values for p.shift+ and p.shift– are the percentage of simulations that obtained statistically significant (P‐value < 0.05) positive or negative evolutionary rate shifts. “All clades” reports results assuming all nodes evolved under a single rate

PhylogenyCladep.shift+p.shift–
Extant + extinct maximum TBLAll clades0.40
430.40.1
440.40.1
450.40.1
460.40.1
470.40
490.40
570.40
610.40
620.40
670.50
Minus ancestor maximum TBLAll clades0.130
350.770
4400.92
Extant only minimum TBLAll clades0.040
270.610
3000.23
Extant only maximum TBL270.850
Extant + extinct median SSTAll clades0.890
520.970
430.180.01
Minus ancestors median SSTAll clades0.570
350.10.01
3900
4210
Extant only minimum SSTAll clades0.010.12
2200.92
310.760
Extant only median SSTAll clades0.740
280.530.01
310.60
Extant only maximum SSTAll clades0.120.02
280.620
3500.69
Figure A1

Clade numbers for overfitRR analysis of all datasets in Table A7.

Figure 2

Evolution of body size in extant true seals estimated by RRphylo analysis, using phylogeny from Rule et al. (2021b). (a) Ancestral state estimation and (b) evolutionary rates for Log10 minimum total body length. (c) Ancestral state estimation and (d) evolutionary rates for Log10 maximum total body length. Timescales in millions of years.

Figure 3

Evolution of sea surface temperature (SST) in extant true seals estimated by RRphylo analysis, using phylogeny from Rule et al. (2021b). Ancestral state estimation (a) and evolutionary rates (b) for minimum SST. Ancestral state estimation (c) and evolutionary rates (d) for median SST. Ancestral state estimation (e) and evolutionary rates (f) for maximum SST. Timescales in millions of years.

Figure 4

Evolution of body size and SST in extant and extinct true seals estimated by RRphylo analysis, using phylogeny from Rule et al. (2021b). Ancestral state estimation (a) and evolutionary rates (b) for log10 total body length. Ancestral state estimation (c) and evolutionary rates (d) for median SST. Timescales in millions of years.

OverfitRR results for the 95% confidence intervals of the root value obtained by the RRphylo analysis. TBL = log10 total body length Evolution of body size in extant true seals estimated by RRphylo analysis, using phylogeny from Rule et al. (2021b). (a) Ancestral state estimation and (b) evolutionary rates for Log10 minimum total body length. (c) Ancestral state estimation and (d) evolutionary rates for Log10 maximum total body length. Timescales in millions of years. Evolution of sea surface temperature (SST) in extant true seals estimated by RRphylo analysis, using phylogeny from Rule et al. (2021b). Ancestral state estimation (a) and evolutionary rates (b) for minimum SST. Ancestral state estimation (c) and evolutionary rates (d) for median SST. Ancestral state estimation (e) and evolutionary rates (f) for maximum SST. Timescales in millions of years. Evolution of body size and SST in extant and extinct true seals estimated by RRphylo analysis, using phylogeny from Rule et al. (2021b). Ancestral state estimation (a) and evolutionary rates (b) for log10 total body length. Ancestral state estimation (c) and evolutionary rates (d) for median SST. Timescales in millions of years. Both the extant (Fig. 2) and the extant + extinct (Fig. 4) datasets show little variation in evolutionary rates for log10 total body length. Nevertheless, significant decreases in the rate of body size evolution characterize Antarctic seals (lobodontins) + elephant seals (ARD [Actual Rate Difference]: −0.008), and monk seals (ARD: −0.006) in the extant‐only datasets, and stem phocids in the extant + extinct dataset (ARDs: −0.019 and −0.022; Table 3). There was more variation in evolutionary rates for sea surface temperature within the monachine clade than the phocine clade (Figs. 3, 4). The extant data furthermore suggest rate decreases associated with a shift toward colder minimum SSTs for Phocinae and colder maximum SSTs for Monachinae; however, these significant evolutionary rate decreases disappear when fossils are included (Table 4). Results of the search.shift analysis of log10 total body length (TBL) in RRphylo. Only significant results are shown; for full results, see Supporting Information. ARD = Average Rate Difference Results of the search.shift analysis of sea surface temperature (SST) in RRphylo. Only significant results are shown; for full results, see Supporting Information. ARD = Average Rate Difference Neither the linear regression (P = 0.23) nor the PGLS (P = 0.75) show any relationship between body length and environmental temperature (Fig. 5; Tables A8, A9). For the evolutionary rate matrix analysis, convergence was achieved between the two MCMC chains after 1,000,000 generations (Figs. A2, A3, A4, A5, A6; Tables A10, A11). The posterior distribution of the evolutionary rate matrices (Figs. 6, A7) of the merged MCMC chains shows no evolutionary correlation between log10 total body length and sea surface temperature.
Figure 5

Regression analyses for log total body length and median SST in extant and extinct true seals. (a) Linear regression of log10 total body length versus median SST (adjusted R 2 = 0.017, P‐value = 0.226). (b) Phylogenetic generalized least squares regression for log10 total body length versus median SST (P‐value = 0.753).

Table A8

Linear regression of log total body length and sea surface temperature tolerance for Phocidae. DF = degrees of freedom

Extant + ExtinctExtant Only
TBL ∼ SSTLrg TBL ∼ Max SSTLrg TBL ∼ Med SSTLrg TBL ∼ Min SSTSml TBL ∼ Max SSTSml TBL ∼ Med SSTSml TBL ∼ Min SST
Min–0.49–0.27–0.27–0.26–0.23–0.22–0.21
Q1–0.10–0.12–0.14–0.13–0.09–0.11–0.10
Median–0.02–0.0010.03–0.030.330.03–0.03
Q30.110.080.090.090.100.110.10
Max0.390.360.360.380.170.200.21
Intercept2.412.472.42.372.402.332.31
Slope–0.01–0.006–0.0030.002–0.005–0.0010.003
Standard Error0.010.0050.0060.0060.0040.0040.004
T‐value–1.24–1.13–0.470.27–1.29–0.270.77
P‐value0.230.280.650.790.220.790.45
Residual standard error0.17, 29 DF0.17, 17 DF0.18, 17 DF0.18, 17 DF0.13, 17 DF0.13, 17 DF0.13
Multiple R 2 0.050.070.010.0040.090.0040.03
Adjusted R 2 0.020.02–0.05–0.050.04–0.05–0.02
F‐statistic1.53, 1, and 29 DF1.27, 1, and 17 DF0.22, 1, and 17 DF0.07, 1, and 17 DF1.65, 1, and 17 DF0.07, 1, and 17 DF0.59, 1, and 17 DF
P‐value0.230.280.650.790.220.790.45
Table A9

Phylogenetic generalised least squares regression of log total body length and sea surface temperature tolerance for Phocidae

Extant + ExtinctExtant Only
TBL ∼ SSTLrg TBL ∼ Max SSTLrg TBL ∼ Med SSTLrg TBL ∼ Min SSTSml TBL ∼ Max SSTSml TBL ∼ Med SSTSml TBL ∼ Min SST
AIC–22.43–25.97–26.54–26.71–40.04–40.16–39.94
BIC–18.13–23.14–23.71–23.88–37.21–37.33–37.10
Log likelihood14.2115.9916.2716.3623.0223.0822.97
Min–2.24–1.88–1.98–2.06–2.34–2.39–2.36
Q1–0.63–1.06–1.12–1.28–1.22–1.28–1.38
Median–0.22–0.17–0.13–0.14–0.100.02–0.09
Q30.200.280.310.340.620.590.62
Max1.462.082.051.971.421.391.46
Intercept2.412.432.462.442.372.372.36
Slope–0.002–0.001–0.004–0.005–0.001–0.002–0.001
Standard error0.0060.0040.0050.0050.0030.0040.004
T‐value–0.32–0.32–0.79–0.88–0.37–0.50–0.21
P‐value0.750.750.440.390.710.630.84
Residual standard error0.240.160.160.160.110.110.11
Degrees of freedom31 total, 29 residual19 total, 17 residual19 total, 17 residual19 total, 17 residual19 total, 17 residual19 total, 17 residual19 total, 17 residual
Figure A2

Log‐likelihood trace plot and acceptance ratio of first evolutionary rate matrix MCMC chain. MCMC chain ran for 1 million generations, with the first 25% discarded as burnin and sampling every 1000 generations. Acceptance ratio for the MCMC chain was ∼0.41 (correlation = 0.62; standard deviation = 0.15; root = 0.93).

Figure A3

The prior distribution of the first evolutionary rate matrix MCMC chain.

Figure A4

Log‐likelihood trace plot and acceptance ratio of the second evolutionary rate matrix MCMC chain. MCMC chain ran for 1 million generations, with the first 25% discarded as burnin and sampling every 1000 generations. Acceptance ratio for the MCMC chain was ∼0.41 (correlation = 0.62; standard deviation = 0.15; root = 0.93).

Figure A5

The prior distribution of the second evolutionary rate matrix MCMC chain.

Figure A6

Histogram of the posterior distribution of evolutionary correlation among log total body length and sea surface temperature, extracted from the two merged MCMC chains. Minimum = −0.68; 1st quartile = −0.03; Median = 0.09; Mean = 0.09; 3rd quartile = 0.21; Maximum = 0.79.

Table A10

Evolutionary rate matrix for extant + extinct taxa using the package ratematrix. TBL = total body length, SST = sea surface temperature

TBLSST
TBL0.0081570.019207
SST0.0192074.289097
Table A11

Gleman's R convergence check between the two ratematrix MCMC chains, with potential scale reduction factors for the root values and evolutionary rate matrices, and effective sample size

Point EstimateUpper Confidence IntervalEffective Sample Size
TBL root1.001.00251.54
SST root1.011.03302.44
Matrix TBL‐TBL1.001.0057,230.45
Matrix TBL‐SST1.001.0044,030.33
Matrix SST‐TBL1.001.0044,030.33
Matrix SST‐SST1.001.0061,000.78
Figure 6

Posterior distribution of the evolutionary rate matrices for the merged MCMC chains. Histograms show the posterior distribution of evolutionary rate variance values for log10 total body length (TBL, top left) and sea surface temperature (SST, bottom right); and pairwise evolutionary covariance values between log total body length and sea surface temperature (top right). Ellipses (bottom left) are 50 bivariate distributions randomly sampled from the posterior distribution. The vertical orientation of the ellipses demonstrates that there is no evolutionary correlation between log10 total body length and sea surface temperature. The elongated shape of the ellipses demonstrates that log10 total body length has faster evolutionary rates than sea surface temperature.

Figure A7

Posterior distribution of root values for log total body length (TBL) and sea surface temperature (SST) sampled from the merged MCMC chains.

Regression analyses for log total body length and median SST in extant and extinct true seals. (a) Linear regression of log10 total body length versus median SST (adjusted R 2 = 0.017, P‐value = 0.226). (b) Phylogenetic generalized least squares regression for log10 total body length versus median SST (P‐value = 0.753). Posterior distribution of the evolutionary rate matrices for the merged MCMC chains. Histograms show the posterior distribution of evolutionary rate variance values for log10 total body length (TBL, top left) and sea surface temperature (SST, bottom right); and pairwise evolutionary covariance values between log total body length and sea surface temperature (top right). Ellipses (bottom left) are 50 bivariate distributions randomly sampled from the posterior distribution. The vertical orientation of the ellipses demonstrates that there is no evolutionary correlation between log10 total body length and sea surface temperature. The elongated shape of the ellipses demonstrates that log10 total body length has faster evolutionary rates than sea surface temperature.

Discussion

EVOLUTION OF BODY SIZE AND SST IN TRUE SEALS

Previous studies disagreed on whether early phocids were small (Churchill et al. 2015) or large (Wyss 1994). In isolation, our extant phylogeny supports intermediate ancestral sizes (Fig. 2), which is also supported when fossil taxa are taken into account (Fig. 4). Both phocines and monachines waxed and waned in size over time (Wyss 1994; Churchill et al. 2015; Valenzuela‐Toro et al. 2016; Dewaele et al. 2017; Rule et al. 2020b, 2021a), and between them gave rise to both the smallest (0.68 m) and the largest (>5 m) seals known to date. Our results suggest that these extremes represent derived conditions. Extant‐only ancestral state estimations of SST (Fig. 3) support a cold‐water origin of true seals (Davies 1958a, 1958b; Fulton and Strobeck 2010), as opposed to a more temperate range when fossils are included (Fig. 4). The latter suggests separate origins for the cold‐water adaptations of phocines and Antarctic seals (Repenning et al. 1979; Deméré et al. 2003; Fyler et al. 2005; Mason et al. 2020), with pagophily likely arising in response to Plio‐Pleistocene cooling. Likewise, the tropical affinities of monk seals appear to be a derived condition. Overall, the modern contrast between polar and tropical phocids appears relictual, and largely reflects local extinctions of phocids at mid‐latitudes during the late Neogene (Avery and Klein 2011; Valenzuela‐Toro et al. 2013; Pimiento et al. 2017; Dewaele et al. 2018; Rule et al. 2019). Trait evolution is best assessed based on phylogenies including both extant and extinct taxa (Quental and Marshall 2010). This is supported by our findings, with extant + extinct datasets producing different, and more robust, results than those comprising living species only. Previous studies focusing on extant phocids likely underestimated their past ecological diversity (Davies 1958a, 1958b; Fyler et al. 2005; Fulton and Strobeck 2010; Mason et al. 2020), which in turn may have prevented a more widespread extinction of the group during the late Neogene (Knope et al. 2020).

THERMAL BARRIERS TO DISPERSAL

True seals repeatedly crossed the tropics in the course of their evolution (Rule et al. 2020a), even though they are thought to hinder marine mammal dispersal (Davies 1963; Holt et al. 2020). A warm‐water equatorial barrier could explain the small size of the oldest true seals from the Southern Hemisphere (Rule et al. 2020b, 2021a), but surprisingly is not evident in our evolutionary rate shift analysis. Overall, equatorial crossings for true seals are thus not obviously constrained by body size. No shifts in SST were detected once extinct seals were taken into account (Table 4). Therefore, phocids appear tolerant of a broad range of environmental temperatures, which plausibly enabled them to invade both the tropics and polar environments with relative ease.

BERGMANN'S RULE

Bergmann's rule is thought to restrict the body size of marine mammals at lower latitudes (Torres‐Romero et al. 2016; Adamczak et al. 2020), which may limit cross‐equatorial dispersals. The rule applies to fur seals and sea lions (Sepúlveda et al. 2013) but seemingly not phocids, with our regressions and evolutionary rate matrix analysis showing no relationship between total body length and SST (Figs. 5, 6; Tables A8, A9). Body size evolution in true seals was thus not obviously driven by temperature, and instead may reflect nutrient availability and/or feeding ecology (Dewaele et al. 2017, 2018; Rule et al. 2021a).

GLOBAL DISPERSAL OF TRUE SEALS

Unlike fur seals, sea lions, and walruses—all of which remained restricted to the North Pacific for much of their evolution—true seals have long enjoyed a global distribution (Berta et al. 2018; Velez‐Juarbe and Valenzuela‐Toro 2019). Broad temperature tolerances may help to explain this pattern, with true seals being able to invade new environments relatively easily. By contrast, fur seals and sea lions only crossed into the Southern Hemisphere following Pliocene cooling and an attendant increase in productivity along the equator (Churchill et al. 2014). The same cooling event produced sea‐level fluctuations that impacted coastal habitats (with lowered sea levels eliminating shallow coastal waters) and likely disrupted the global distribution of phocids by driving their replacement with otariids at southern temperate latitudes (Boessenecker 2013; Valenzuela‐Toro et al. 2013; Govender 2015; Pimiento et al. 2017; Rule et al. 2019). This idea is again consistent with our results, which suggest that—contrary to earlier suggestions (Ray 1976)—changing climates likely did not exceed the temperature tolerances of phocids as such. This suggests that phocids will be affected by physical oceanic and ecological changes from future climatic change, rather than directly by changes in temperature.

AUTHOR CONTRIBUTIONS

JPR, FGM, ARE, and JWA conceived and designed the study. JPR collected the data. JPR and FGM analyzed the data. JPR drafted the initial version of the manuscript. All authors contributed to and approved the final versions of the manuscript.

CONFLICT OF INTEREST

The authors declare no conflict of interest.

DATA ARCHIVING

Additional datasets and results are available as Supporting Information. The R‐script (https://doi.org/10.6084/m9.figshare.13515458), input files (https://doi.org/10.6084/m9.figshare.13515461), and output data (https://doi.org/10.6084/m9.figshare.13515470) are available on the Figshare repository. Fossils used in this study are deposited in the following permanent and accessible institutions: Museum of New Zealand Te Papa Tongarewa, Canterbury Museum, Museo Paleontológico ‘Egidio Feruglio’, Museums Victoria, Muséum national d'Histoire naturelle, and Smithsonian Institution National Museum of Natural History Associate Editor: G. Hurst Handling Editor: A. McAdam Supporting Information Click here for additional data file.
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