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Nature Genetics
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Nature Genetics
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Nature Genetics
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Evolution of Tibetan wild boars

Authors: Frantz, Laurent A.F.; Madsen, Ole; Megens, Hendrik Jan; Schraiber, Joshua G.; Paudel, Yogesh; Bosse, Mirte; Crooijmans, Richard P.M.A.; +2 Authors

Evolution of Tibetan wild boars

Abstract

To the Editor: The analysis presented by Li et al.1 in their report of the genome sequence of the Tibetan wild boar provides interesting insights into the genetic architecture of high altitude adaptation in this species. However, despite the large volume of novel data, we found shortcomings in several parts of the study, suggesting that some specific findings presented by Li et al. result from over-interpretation. In addition, several of their conclusions contradict those reported in previous analyses2–5. More specifically, the authors infer that Tibetan wild boars and Duroc breeds (S. scrofa Ssc10.2 reference genome) diverged during the Miocene, ~6.8 million years ago (Mya). This estimated date is nearly 10 times more ancient than the recently reported split between Asian and European wild boar (2-0.8Mya) 2,4. In addition, previous studies2,3 estimated the divergence time between S. scrofa and other Sus species from Island Southeast Asia (outgroups in Figure 2b/e in ref 1) to be 5.3-1.3 Mya. Li et al.1 do not describe the details of the molecular clock analysis, other than stating that PAML (MCMCTREE)6 was used with three molecular clock based calibrations (as opposed to fossil calibrations), and they neither specified which nodes were calibrated nor did they include the uncertainties of these calibrations in their age priors. Moreover, we believe that the tree used for the molecular clock analysis is too sparsely sampled to be informative for the Duroc-Tibetan split time. Indeed, different mutation rates are expected for the deep internal branches, separating mammalian orders, compared to the short branches separating the two sub-species of S. scrofa2,4,7. Hence, estimating a subspecific split using rates estimated from the divergence of mammalian orders is nearly certain to bias the estimate leading to an incorrect conclusion. We therefore believe that this analysis is likely to be influenced both by prior age misspecification and biased taxon sampling, resulting in a gross overestimation of the divergence time. Furthermore, the authors do not take into account the suid paleontological literature that provides specific contradictory examples to their conclusions (Figure 1a) and would have provided useful calibrations (see Additional File 6 in ref 2). To illustrate our concerns we constructed a phylogenetic tree using data from a Tibetan wild boar1 together with seven other Sus samples (Figure 1a) that were used in two previous studies2,4 and the study of Li et al.1 (Supplementary Note). We further annotated the tree with well known fossils, and our own time estimates2,3,8 (Figure 1a). Our results demonstrate that Tibetan wild boar clusters together with Chinese wild boar (also suggested by the Li et. al. ancestry and phylogenetic analyses). Based on our molecular clock analyses2,3, we conclude that Tibetan and European wild boars are not different species, but instead are closely related sub-species that diverged during the Pleistocene. In addition, we show that the evolutionary time scale proposed by Li et al.1 for the genus Sus implies a significantly older speciation timeframe contradicting the fossil record (Figure 1a). Furthermore, according to our branch length estimates (Supplementary Methods), a divergence time for European and Asian wild boars of 6.8 Mya1 (confidence interval 12.9-2.4), would imply that African and Eurasian Suinae diverged roughly 26 Mya (confidence interval 50-13 Mya), an estimate that bears no correspondence with the fossil time-frame for Suinae8. The erroneous time inference presented by Li et al. contributed to their generally implausible results. Figure 1 Evolutionary history of Sus species Another point of concern is the results of their demographic analysis9, pictured in Figure 2e in Li et al.1 which highlights the low coverage of the dataset and the shortcomings of a next-generation-sequence (NGS) based genome assembly. The authors present the demographic history as inferred both from boars re-sequenced and aligned to their assembly (green and pink lines in Figure 2e in ref 1) as well as previously sequenced boar genomes and aligned to the high quality draft reference genome4 (Ssc10.2, blue and black lines Figure 2e in ref 1). Surprisingly, the results for Chinese wild boar aligned to Ssc10.2 and to the de novo assembly significantly disagree (e.g. South China with Southwest China in Figure 2e in ref 1.). This lack of correspondence is worrying since these individuals have similar ancestry and are very closely related (see Figure 2b in ref 1; Figure 1a). The authors do not address this discrepancy but instead draw the conclusion, “to our knowledge this is the first study supporting the refuge theory on the basis of demographic history revealed by genome-wide analysis”. We believe that this result does not reflect a realistic population size for wild boar in Tibet during the Pleistocene, but instead illustrates the lack of resolution of de novo assembled genomes for demographic estimations in combination with underestimation of true heterozygosity due to low coverage re-sequencing data (5x coverage for individuals re-sequenced in this study versus 10x coverage for previously published re-sequenced individuals). To support our claims, we re-analyzed Li et al.’s data by aligning short-read sequences from a single Tibetan wild boar that was used for de novo assembly (over 10x coverage; Supplementary Methods) to the Ssc10.2 reference genome and conducted a similar PSMC analysis to the one carried out by Li et al.1 Our results demonstrate that Tibetan and South Chinese wild boar have similar demographic histories (Figure 1b). In particular, we show that Tibetan wild boar underwent population size fluctuations during the Pleistocene, contrary to the conclusions of Li et al. This analysis shows that the claim that Tibetan wild boar experienced no demographic fluctuations due to the presence of refugia in Tibet is incorrect. In the light of the Assemblathon 2.010 we believe that it is important not to over-interpret data from NGS short-read de novo assemblies, especially when comparing these to an assembly built from Sanger reads combined with a high-resolution linkage map. Here we show that the over-confidence of the authors in their de novo assembly and divergence time estimates misled their interpretation of the evolutionary history of Tibetan wild boars. Furthermore, we believe that some results presented in the study by Li. et. al.1, in particular large scale gene family expansion and/or contraction since the European-Tibetan wild-boar split are dubious. The interpretation of these results, as being the result of a genuine biological signal rather than assembly artifact, may have been misled by the gross over-estimation of evolutionary time frame of S. scrofa. We suggest that the experimental design of studies describing re-sequencing of closely related species or sub-species needs to be different from the analysis conducted on newly sequenced genomes. For example, a more relevant analysis would have been to compare the “wild Sus species” and Warthog to the genome of the Tibetan wild boar rather than comparing within S. scrofa evolutionary changes with evolutionary processes that occurred at the scale of mammalian evolution. With the power of multiple complete genomes comes the responsibility to interpret them in light of both the potential pitfalls of NGS and the published genomic and paleontological evidence.

Country
Netherlands
Keywords

Sus scrofa, Life Science, Animals, Female, Selection, Genetic

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Average
Top 10%
bronze