Abstract

The phylogenetic relationships among extant gibbon species remain unresolved despite numerous efforts using morphological, behavorial, and genetic data and the sequencing of whole genomes. A major challenge in reconstructing the gibbon phylogeny is the radiative speciation process, which resulted in extremely short internal branches in the species phylogeny and extensive incomplete lineage sorting with extensive gene-tree heterogeneity across the genome. Here, we analyze two genomic-scale data sets, with ∼10,000 putative noncoding and exonic loci, respectively, to estimate the species tree for the major groups of gibbons. We used the Bayesian full-likelihood method bpp under the multispecies coalescent model, which naturally accommodates incomplete lineage sorting and uncertainties in the gene trees. For comparison, we included three heuristic coalescent-based methods (mp-est, SVDQuartets, and astral) as well as concatenation. From both data sets, we infer the phylogeny for the four extant gibbon genera to be (Hylobates, (Nomascus, (Hoolock, Symphalangus))). We used simulation guided by the real data to evaluate the accuracy of the methods used. Astral, while not as efficient as bpp, performed well in estimation of the species tree even in presence of excessive incomplete lineage sorting. Concatenation, mp-est and SVDQuartets were unreliable when the species tree contains very short internal branches. Likelihood ratio test of gene flow suggests a small amount of migration from Hylobates moloch to H. pileatus, while cross-genera migration is absent or rare. Our results highlight the utility of coalescent-based methods in addressing challenging species tree problems characterized by short internal branches and rampant gene tree-species tree discordance.

Highlights

  • NoncodingAll theta_1Hm theta_2Hp theta_3B theta_4S theta_5N theta_7ONBSHmHp theta_8NBSHmHp theta_9NBS theta_10BS theta_11HmHp tau_7ONBSHmHp tau_8NBSHmHp tau_9NBS tau_10BS tau_11HmHp mean

  • Theta_1Hm theta_2Hp theta_3B theta_4S theta_5N theta_7ONBSHmHp theta_8NBSHmHp theta_9NBS theta_10BS theta_11HmHp tau_7ONBSHmHp tau_8NBSHmHp tau_9NBS tau_10BS tau_11HmHp theta_1Hm theta_2Hp theta_3B theta_4S theta_5N theta_7ONBSHmHp theta_8NBSHmHp theta_9NBS theta_10BS theta_11HmHp tau_7ONBSHmHp tau_8NBSHmHp tau_9NBS tau_10BS tau_11HmHp mean 2.5%HPD 97.5%HPD ESS* Eff*

  • Theta_1Hm theta_2Hp theta_3B theta_4S theta_5N theta_7ONBSHmHp theta_8NBSHmHp theta_9NBS theta_10BS theta_11HmHp tau_7ONBSHmHp tau_8NBSHmHp tau_9NBS tau_10BS tau_11HmHp theta_1Hm theta_2Hp theta_3B theta_4S theta_5N theta_7ONBSHmHp theta_8NBSHmHp theta_9NBS theta_10BS theta_11HmHp tau_7ONBSHmHp tau_8NBSHmHp tau_9NBS tau_10BS tau_11HmHp mean

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Summary

Introduction

NoncodingAll theta_1Hm theta_2Hp theta_3B theta_4S theta_5N theta_7ONBSHmHp theta_8NBSHmHp theta_9NBS theta_10BS theta_11HmHp tau_7ONBSHmHp tau_8NBSHmHp tau_9NBS tau_10BS tau_11HmHp mean

Results
Conclusion

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