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Reply to "The linking of plate tectonics and evolutionary divergences" by Phillips et al. Maria M. Bauzà-Ribot, 1 Carlos Juan, 1 Francesco Nardi, 2 Pedro Oromí, 3 Joan Pons, 4 and Damià Jaume 4 1 Departament de Biologia, Universitat de les Illes Balears, 07122 Palma, Spain 2 Department of Life Sciences, University of Siena, via Aldo Moro 2, 53100 Siena, Italy 3 Departmento de Biología Animal, Universidad La Laguna, 38205 La Laguna, Tenerife, Canary Islands, Spain 4 IMEDEA (CSIC-UIB), Mediterranean Institute for Advanced Studies, c/ Miquel Marquès 21, 07190 Esporles, Spain Phillips et al. [1] reply to our finding that genetic divergence between subterranean metacrangonyctid amphipods from opposite shores of the Atlantic is congruent with vicariance by plate tectonics [2]. They highlight three presumed shortcomings in our analyses: 1) 3 rd codon positions (3 rd CPs) of the mitochondrial genes used to reconstruct the metacrangonyctid phylogeny are saturated, and consequently should be excluded; 2) substitution rates across the tree do not fit an uncorrelated lognormally distributed (UCLD) clock, and implementation of a random local clock (RLC) model would be more appropriate; and 3) the two dates that we used to calibrate the tree are fairly recent compared to the overall tree length, while the inclusion of a deep fossil calibrator could have improved dating. However, much of the criticism of Phillips et al. applies more to their modification of our data set than to the original data itself. Specifically, their addition of several highly divergent taxa - driven by the necessity to include taxa encompassing the new deep calibration node they propose (see point 3) -, largely alters the properties of our original data matrix (see points 1 and 2) such that their criticisms become relevant. We maintain that 3 rd CPs saturation and deviation from lognormal rates largely apply to the new and not to the original data set. We also have some concerns about the fossil calibration used by Phillips et al. Both the stemminess metric calculated by Phillips et al. [1] and our Xia and Lemey test indicate that 3 rd CPs are indeed more saturated than 1 st and 2 nd positions. However, values for each of the three CPs in our original dataset are lower than critical values [2], suggesting that there is still phylogenetic signal at 3 rd CPs despite partial saturation. That 3 rd mitochondrial CPs are

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Page 1: Reply to The linking of plate tectonics and evolutionary ...digital.csic.es/bitstream/10261/99927/4/Bauza-Ribot2013.pdf · Maria M. Bauzà-Ribot,1 Carlos Juan, 1 Francesco Nardi,

Reply to "The linking of plate tectonics and evolutionary divergences" by Phillips et

al.

Maria M. Bauzà-Ribot,1 Carlos Juan, 1 Francesco Nardi, 2 Pedro Oromí, 3 Joan Pons, 4 and Damià

Jaume4

1Departament de Biologia, Universitat de les Illes Balears, 07122 Palma, Spain2Department of Life Sciences, University of Siena, via Aldo Moro 2, 53100 Siena, Italy3Departmento de Biología Animal, Universidad La Laguna, 38205 La Laguna, Tenerife, Canary Islands,

Spain4IMEDEA (CSIC-UIB), Mediterranean Institute for Advanced Studies, c/ Miquel Marquès 21, 07190

Esporles, Spain

Phillips et al. [1] reply to our finding that genetic divergence between subterranean

metacrangonyctid amphipods from opposite shores of the Atlantic is congruent with vicariance by

plate tectonics [2]. They highlight three presumed shortcomings in our analyses: 1) 3rd codon

positions (3rd CPs) of the mitochondrial genes used to reconstruct the metacrangonyctid phylogeny

are saturated, and consequently should be excluded; 2) substitution rates across the tree do not fit

an uncorrelated lognormally distributed (UCLD) clock, and implementation of a random local clock

(RLC) model would be more appropriate; and 3) the two dates that we used to calibrate the tree

are fairly recent compared to the overall tree length, while the inclusion of a deep fossil calibrator

could have improved dating. However, much of the criticism of Phillips et al. applies more to their

modification of our data set than to the original data itself. Specifically, their addition of several

highly divergent taxa - driven by the necessity to include taxa encompassing the new deep

calibration node they propose (see point 3) -, largely alters the properties of our original data matrix

(see points 1 and 2) such that their criticisms become relevant. We maintain that 3rd CPs saturation

and deviation from lognormal rates largely apply to the new and not to the original data set. We

also have some concerns about the fossil calibration used by Phillips et al.

Both the stemminess metric calculated by Phillips et al. [1] and our Xia and Lemey test

indicate that 3rd CPs are indeed more saturated than 1st and 2nd positions. However, values for

each of the three CPs in our original dataset are lower than critical values [2], suggesting that there

is still phylogenetic signal at 3rd CPs despite partial saturation. That 3rd mitochondrial CPs are

Page 2: Reply to The linking of plate tectonics and evolutionary ...digital.csic.es/bitstream/10261/99927/4/Bauza-Ribot2013.pdf · Maria M. Bauzà-Ribot,1 Carlos Juan, 1 Francesco Nardi,

partially saturated comes as no surprise, as this feature has been extensively shown to occur at

various taxonomic levels [3]. However, the occurrence of partial saturation does not necessarily

imply lack of phylogenetic signal and implementation of partitioning over CPs and relaxed-clock

models has been shown to improve molecular phylogenetic and dating analyses in such

conditions/circumstances [4]. Notwithstanding, in order to evaluate the relevance of this argument

analytically, we reanalyzed the data after exclusion of 3rd CPs and we show that this modification

has a limited impact on age estimates (Fig. 1 and Supplemental Information).

Phillips et al. second concern relates to a presumed violation of the assumption that rates

across the tree are not lognormally distributed although this seems to be mainly caused by the

addition of distant outgroups (see Phillips et al.'s Fig. S1 [1]). In order to explicitly compare the two

clock models (UCLD and RLC) in a formal phylogenetic Bayesian framework, we used the

posterior simulation-based analog of Akaike's information criterion recently developed by Baele et

al. [5]. The test indicates that UCLD clock, implemented in the original analysis, outperforms RLC

(see Supplemental Information for details). For the sake of comparison, we nevertheless

reanalyzed the original dataset, with and without 3rd CPs, applying a RLC model as suggested by

[1]. New age estimates, although generally younger, still fall within the confidence age interval

estimated using UCLD clocks (see Fig. 1), indicating that the original results are robust with

respect to the use of different clock models and the effect of 3rd CPs.

Phillips et al. also refer to clock calibration issues [1]. We fully agree that, ideally, molecular

clock calibrations are best implemented by deploying several well-dated fossils robustly assigned

to particular nodes positioned at different timescales in a given phylogeny [3]. However, fossils

calibrations in molecular phylogenies are far from being a silver bullet, for several reasons. Fossils

may be incorrectly assigned to the crown and not to the stem of a clade; age of fossils may be

considerably younger than the origin of their respective clade; and data limitations may

compromise both fossil taxonomic placement and dating [3, 6]. Furthermore, the fossil record is

notoriously incomplete and patchy, and in many instances appropriate fossil calibrators are simply

not available. In fact, the fossil record of the Amphipoda is extremely poor, with the oldest fossils

known corresponding to casts preserved in Eocene Baltic amber not older than 54-40 million years

(my) [7] (Supplemental Information). Facing the absence of an appropriate fossil calibrator for the

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taxa under investigation, Phillips et al. add a number of non-metacrangonyctid amphipod, isopod,

decapod and hoplocarid outgroups to our original alignment [1] in order to encompass an inferred

date for the separation of the Subclasses Eumalacostraca and Hoplocarida derived from fossil

information, and in doing so they introduce two possible problems in the analysis. This is an

extremely deep node in relation to our ingroup, and raises significant concern over the overall rate

stability (see above). Furthermore, they used the age of Hesslerella to date the split of the

Subclasses Eumalacostraca and Hoplocarida, seemingly overlooking that Hesslerella is an

undeniable crown-group phreatoicidean [8, 9]), a member of the Peracarid order Isopoda, and as

such its age (325 Mya) should be considered a minimum constraint age for the Peracarida. Thus, it

should be assigned to the node Isopoda/Amphipoda in Phillips et al. tree instead of to the

Hoplocarida/Eumalacostraca node (Fig. S1). It is important to mention here that the

Eumalacostraca includes three Superorders: Syncarida, Eucarida (to which the decapods belong)

and Peracarida, the latter including the amphipods and Isopods, among other groups (Fig. S1).

The calibration of molecular clocks and deduction of subsequent evolutionary timescales

have always been open to debate and discussion [3, 6]. We acknowledge that there are a number

of assumptions and parameters that can be applied to both phylogeny estimation and molecular

clock calibration that can have an impact on the resulting estimates, and that a full understanding

of the relative importance of vicariance and dispersal to explain the distribution of

metacrangonyctid amphipods would require taxonomically well-sampled, robust multi-loci

phylogenies of the lineages forming the superorder Peracarida, with reliable and appropriately

distributed palaeographic and fossil calibrations.

The criticisms of Philips et al. demonstrate the power of parameter choice to drive

biogeographic inference, but to paraphrase the great Stratford Bard (or was it the Bible?) "the devil

can cite Scripture for his purpose". The differing results of Philips et al. are largely driven by their

modification of the original dataset and a possibly inappropriate deployment of fossil calibration.

Potentially powerful parameters do indeed carry great responsibility.

References

1. Phillips, M.J., Page, T.J. de Bruyn, M., Huey, J.A., Humphreys, W.F., Hughes, J.M., Santos,

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S.R., Schmidt, D.J.,Waters, J.M. The Linking of Plate Tectonics and Evolutionary Divergences

(Reply to Bauzà-Ribot et al.).

2. Bauzà -Ribot, M.M., Juan, C., Nardi, F., Oromí, P., Pons, J., and Jaume, D. (2012). Mitogenomic

Phylogenetic Analysis Supports Continental-Scale Vicariance in Subterranean Thalassoid

Crustaceans. Current Biology 22, 2069-2074.

3. Lukoschek, V., Keogh, J.S, Avise, J.C. (2012). Evaluating Fossil Calibrations for Dating

Phylogenies in Light of Rates of Molecular Evolution: A Comparison of Three Approaches.

Systematic Biology 61: 22-43.

4. Ho, S.Y.W., Lanfear, R. (2010). Improved Characterisation of Among-lineage Rate Variation in

Cetacean Mitogenomes Using Codon-partitioned Relaxed Clocks. Mitochondrial DNA 21: 138-146.

5. Baele G., Li WLS, Drummond A.J., Suchard M.A., Lemey P. (2012). Accurate Model Selection of

Relaxed Molecular Clocks in Bayesian Phylogenetics Molecular Biology and Evolution 30: 239-

243.

6. Donoghue P.C.J, Benton M.J. (2007). Rocks and Clocks: Calibrating the Tree of Life Using

Fossils and Molecules. Trends in Ecology and Evolution 22: 424-431.

7. Coleman, C. O. (2006) An Amphipod of the Genus Synurella Wrzesniowski, 1877 (Crustacea,

Amphipoda, Crangonyctidae) Found in Baltic Amber. Organisms Diversity and Evolution 6: 103-

108.

8. Schram, F.R. 1974. Paleozoic Peracarida of North America. Fieldiana Geology 33: 95-124.

9. Wilson, G. D. F., Edgecombe G. (2003). The Triassic Isopod Protamphisopus wianamattensis

(Chilton) and Comparison with Extant Taxa (Crustacea, Phreatoicidea). Journal of Paleontology

77: 454-470.

Acknowledgments

We acknowledge the help and suggestions of Brent Emerson and José Castresana. This work was

supported by Spanish grants CGL2009-08256, CGL2012-33597 and CSIC Intramural grant

200930I141.

Figure 1. Estimation of node ages under relaxed lognormal and random local clocks.

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Comparison of node age estimates obtained using different analyses. Common to all are the

palaeogeographical events used for calibration, the phylogenetic tree and corresponding node

numbers reported in [2] and the use of independent substitution models and clocks for each codon

site. Original analysis (uncorrelated lognormal relaxed clock, 3rd CPs included): blue dots represent

mean estimates, gray lines represent 95% HPD intervals. Data reanalysis: orange squares

represent mean estimates applying an uncorrelated lognormal clock model with 3rd CPs excluded;

pink triangles with random local clocks and 3rd CPs included, black dots with random local clocks

and 3rd CPs excluded. The key node linking both sides of the Atlantic in the phylogeny reported in

[2] is highlighted with a grey box.

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140

120

100

80

60

40

20

0

Ag

e (

mya)

Node

2224 3825 333426 3527 412829363039 3231234037

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Supplemental Information

Reply to "The linking of plate tectonics and evolutionary divergences" by Phillips et al.

Maria M. Bauzà-Ribot,1 Carlos Juan,1 Francesco Nardi,2 Pedro Oromí,3 Joan Pons,4 and Damià

Jaume4

1. Exclusion of Third Codon Positions and Estimation of Divergence Times

Phillips et al. [S1] criticize that the 3rd codon positions (CPs) of the mitochondrial protein-coding

genes are highly saturated in our phylogeny, and that this resulted in an underestimation of deep

divergences relative to shallow divergences. To further explore this we have performed a

reanalysis run in BEAST v1.7.2 [S2] using our original dataset and assumptions [S3] but excluding

3rd CPs, to test if their exclusion influences the estimation of divergence times. Following

reanalysis, estimates do not differ substantially (Fig. 1), with the exclusion of 3rd CPs generating a

divergence time of 72.3 mya (50.5-97.3 95% highest posterior distribution, HPD) for the node of

importance. On the other hand, saturation of 3rd CPs does become a more serious issue when

deeply divergent amphipod outgroups are included, as in the case for the analyses of Phillips et al.

[S1].

2. Models of Rate Variation

A posterior simulation-based analog of Akaike's information criterion through Markov chain Monte

Carlo (AICM) [S4] indicates that single uncorrelated lognormal rate distributions (UCLD) per codon

site are superior to random local clocks models (RLC) (single lognormal distributions for 1st and

2nd CPs vs. RLC for 1st and 2nd, AICM 114862.08 vs. 114961.55; single lognormal distributions

for 1st, 2nd and 3rd CPs vs. RLC for 1st, 2nd and 3rd CPs, AICM 250011.79 vs. 250208.53).

Notwithstanding, we computed divergences, either including or excluding 3rd CPs, and assuming

a random local clock model. This resulted in a decrease of divergence times approaching the

minimum HPD values obtained in other analyses (Fig. 1), that are nevertheless still compatible

with our previous estimates as well as our biological interpretation of the latter.

Page 8: Reply to The linking of plate tectonics and evolutionary ...digital.csic.es/bitstream/10261/99927/4/Bauza-Ribot2013.pdf · Maria M. Bauzà-Ribot,1 Carlos Juan, 1 Francesco Nardi,

3. Calibration Issues and Outgroups

In addition to the sequences of the two amphipods we obtained (Pseudoniphargus daviui and

Bahadzia jaraguensis), Phillips et al. add other non-metacrangonyctid amphipod outgroups to our

original alignment, namely Genbank mitochondrial sequences from Caprella mutica and C. scaura

[S1]. They also include sequences of two isopods (Armadillidium vulgare and Ligia oceanica), two

decapods (Penaeus monodon and Scylla tranquebarica) and a hoplocarid (Squilla mantis). They

then apply an inferred date of separation of the Subclasses Eumalacostraca (to which the

Amphipoda, Isopoda and Decapoda, among others, belong) and Hoplocarida derived from fossil

information to calibrate their tree.

We argue that the use of the divergence between these two crustacean Subclasses as a

calibration point, based on fossil dating, largely drives the discrepancy between their divergence

date estimate and ours. We consider that such calibrations may be biased due to the inappropriate

placing of the Phreatoicidean fossil (see main text and Fig. S1). We have commented already in

the main section on the condition of Hesslerella, a Palaeozoic fossil isopod assigned to the

suborder Phreatoicidea [S5]. The fact that it is not included in any living family does not invalidate

its phreatoicidean condition, and we do not find any basis in the literature to consider it as a "stem

isopod" as Phillips et al. do in their reply (see [S6]). In addition, recent mitogenomic data certainly

supports Phreatoicidea at a basal position within the Isopoda [S7]. Surprisingly, Phillips et al. did

not include in their analyses the mitogenome of Eophreatoicus, a member of the Phreatoicidea

and thus of the lineage of isopods with the oldest fossil record [S6-S8]. We have perfomed a

preliminary phylogenetic analysis including Eophreatoicus plus all isopodan and amphipodan

mitogenomes available in nucleotide databases. In this analysis, we have used the node leading to

Eophreatoicus (assigning it the age of Hesslerella) to calibrate the tree. This analysis produced

age estimates for the metacrangonyctids that were compatible with our initial calculations based

on palaeogeographical considerations.

Both hoplocaridans and eucarids would represent in principle useful taxa to provide deep

calibrations given their old fossil record and high number of mitogenomes available. We think,

however, that the inclusion of more distant outgroups other than isopods (the only peracarids aside

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amphipods for which mitogenomes are currently available), could produce considerable

overestimations in deep-age calibrations and these are by no means "directly scalable" as Phillips

et al. assume in their reply. Peracarids display rather high mitochondrial nucleotide substitution

rates compared to both hoplocaridans and eucarids (Decapoda+Euphausiacea) [S9], and

consequently long tree branches. This has been related to the high number of gene

rearrangements affecting the mitogenome of peracarids such as changes in strand bias, replication

origins and inversion of genes [S7]. This makes mitogenome-based deep phylogenies of

Crustacea unreliable, and particularly for estimation of divergence times.

Most of the available amphipod fossils preserved in Eocene Baltic amber dated at 54-40

million years (my) can be assigned to modern genera within the freshwater families Niphargidae

(Niphargus) and Crangonyctidae (Synurella) [S10], a feature that lends credence to the extreme

persistence (i.e., at geological time scales) of Metacrangonyx lineages. Nevertheless, since the

age of the known amphipod fossils does not extend to deeper calibration times, we used two

relatively recent palaeogeographic events that affected the Moroccan High-Atlas (37.2–25.0 mya)

and the Balearic Islands in the Mediterranean (16–5.5 mya) to calibrate our tree [S3]. Using these

calibrators we obtained an average long-term pairwise sequence divergence of 10.9% per million

years for Metacrangonyx [S3], a rate that would increase by at least 4-fold assuming the fossil

calibration proposed by Phillips et al. [S1].

References

S1. Phillips, M.J., Page, T.J. de Bruyn, M., Huey, J.A., Humphreys, W.F., Hughes, J.M., Santos,

S.R., Schmidt, D.J.,Waters, J.M. The Linking of Plate Tectonics and Evolutionary Divergences

(Reply to Bauzà-Ribot et al.).

S2. Drummond, A.J., and Rambaut, A. (2007). BEAST, Bayesian evolutionary analysis by sampling

trees. BMC Evol. Biol. 7, 214.

S3. Bauzà-Ribot, M.M., Juan, C., Nardi, F., Oromí, P., Pons, J., and Jaume, D. (2012).

Mitogenomic Phylogenetic Analysis Supports Continental-Scale Vicariance in Subterranean

Thalassoid Crustaceans. Current Biology 22, 2069-2074.

S4. Baele G., Li WLS, Drummond A.J., Suchard M.A., Lemey P. (2012). Accurate Model Selection

of Relaxed Molecular Clocks in Bayesian Phylogenetics Molecular Biology and Evolution 30: 239-

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243.

S5. Schram, F.R. (1974). Paleozoic Peracarida of North America. Fieldiana Geology 33: 95-124.

S6. Wilson, G.D.F., Edgecombe G. (2003). The Triassic Isopod Protamphisopus wianamattensis

(Chilton) and Comparison with Extant Taxa (Crustacea, Phreatoicidea). Journal of Paleontology

77: 454-470.

S7. Kilpert, F., Held, C., Podsiadlowski, L. (2012) Multiple Rearrengements in Mitochondrial

Genomes of Isopoda and Phylogenetic Implications. Molecular Phylogenetics and Evolution 64:

106-117.

S8. Kilpert, F., Podsiadlowski, L., (2009). The Australian Fresh Water Isopod (Phreatoicidea:

Isopoda) Allows Insights into the Early Mitogenomic Evolution of Isopods. Comparative

Biochemistry and Physiology 5: 36-44.

S9. Johansson, M.L., Sremba, A.L., Feinberg, L.R., Banks, M.A., Peterson, W.T. (2012) The

Mitochondrial Genomes of Euphausia pacifica and Thysanoessa raschii Sequenced Using 454

Next-generation Sequencing, with a Phylogenetic Analysis of their Position in the Malacostracan

Family Tree. Molecular Biology Reports 39: 9009-9021.

S10. Coleman, C.O. (2006). An Amphipod of the Genus Synurella Wrzesniowski, 1877 (Crustacea,

Amphipoda, Crangonyctidae) Found in Baltic Amber. Organisms Diversity and Evolution, 6: 103-

108.

Figure S1. Pancrustacean phylogenetic tree.

Simplified tree depicting the major Crustacean relationships and the relevant clades mentioned in

the text. Also shown are the phylogenetic position of Hesslerella according to Phillips et al. and

according to more accurate taxonomic interpretations.

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