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Latest recommendations
| Id | Title * | Authors * | Abstract * | Picture * | Thematic fields * | Recommender | Reviewers | Submission date | |
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12 Dec 2025
The effects of host phylogenetic coverage and congruence metric on Monte Carlo-based null models of phylosymbiosisJames G. DuBose https://doi.org/10.1101/2025.02.07.637028Benchmarking null models and congruence metrics for quantifying phylosymbiosisRecommended by Ricardo Rodriguez de la VegaFor anyone seeking to understand how, "from (a) simple beginning, endless forms most beautiful and most wonderful have been, and are being, evolved" [Darwin, 1859], the relatively simple rules of template-based DNA synthesis, mutation and vertical inheritance offer powerful lenses into the past, provided selection and drift are taken into account. These principles allow us to read genomic similarity as a record of shared ancestry, giving rise to phylogenetics and its tree-like reconstructions of evolutionary history, commonly referred to as phylogenetic trees. One striking observation when zeroing on specific lineages is that the community composition of microrganisms that live in and on them are more similar to one another than to the microbial communties of other hosts sharing the same environments or the same diets (the two factors more obviously linked to the microbial communities). Relationships between community compositions in these cases also generate tree-like branching patterns, more precisely called dendrograms, sometimes uncannily mirroring the phylogenetic relationships among the organisms who serve as their hosts. This sort of phylogenetic signal of microbial communities associated with related hosts is called phylosymbiosis [Brucker & Bordenstein, 2013]. While diverse ecological and evolutionary processes can generate mirrored host-microbiome 'trees' [Kohl, 2020], rigorous quantification is required to understand them. DuBose [2025] tackles this methodological challenge by evaluating how different tree-congruence metrics and null models perform when detecting phylosymbiotic signals. At least three approaches have been used to quantify phylosymbiosis [Lim & Bordenstein, 2020]. Matrix-correlation methods compare host phylogenetic distances with microbiome beta-diversity distances (quantified by Bray-Curtis, Jaccard or UniFrac methods), typically using Mantel [Groussin et al., 2017] or Procrustes tests [Qin et al., 2021]. Phylogenetic comparative methods, though less common in this context, evaluate phylogenetic signal through measures such as Blomberg's K and Pagel's lambda [Donohue et al., 2022] or process-based models like multivariate Brownian motion [Perez-Lamarque et al., 2023]. Topological congruence methods, the most widely used, assess whether a host phylogeny and a microbiome dendrogram are more topologically similar than expected by chance. But the "devil is in the details" regarding what constitutes "chance" and whether different topological congruence metrics agree on the strength of the signal. DuBose offers a thorough study of both aspects. First, the author implements a clever neutral community assembly model (following reviewer suggestions) to compare against standard random tree sampling, validating the approach as a robust reference for testing null hypotheses. Second, the study evaluates a large range of congruence metrics available in the widely used TreeDist and phangorn packages. The reproducibility of this method was assessed by a PCI data editor and this recommender; users interested in testing the full range of metrics can easily modify the provided scripts. While one may miss alternative model trees to represent more biologically grounded processes and most results align with theoretical expectations (e.g. signal is more evident in larger trees), random tree sampling remains common yet under-benchmarked, reference in the literature [Brooks et al., 2016; Travelline et al., 2020; Graham et al., 2025]. DuBose provides the first systematic exploration of its properties, demonstrating that Monte Carlo sampling across tree space serves as a meaningful null framework. This work clearly outlines key caveats and implementation choices researchers must consider, making it a necessary methodological resource for the field.
References Andrew W. Brooks, Kevin D. Kohl, Robert M Brucker, Edward J van Opstal, Seth R Bordenstein (2016) Phylosymbiosis: relationships and functional effects of microbial communities across host evolutionary history. PLoS Biol. 14(11):e2000225. https://doi.org/10.1371/journal.pbio.2000225 Robert M. Brucker, Seth R. Bordenstein (2013) The hologenomic basis of speciation: gut bacteria cause hybrid lethality in the genus Nasonia. Science. 341(6146):667-9. https://doi.org/10.1126/science.1240659 Charles Darwin (1859) On the origin of species by means of natural selection. John Murray, London. Mariah E. Donohue, Amanda K. Rowe, Eric Kowalewski, Zoe L. Hert, Carly E. Karrick, Lovasoa J. Randriamanandaza, Francois Zakamanana, Stela Nomenjanahary, Rostant Y. Andriamalala, Kathryn M. Everson, Audrey D. Law, Luke Moe, Patricia C. Wright, David W. Weisrock (2022) Significant effects of host dietary guild and phylogeny in wild lemur gut microbiomes. ISME Commun. 2(1):33. https://doi.org/10.1038/s43705-022-00115-6 James G. DuBose (2025) The effects of host phylogenetic coverage and congruence metric on Monte Carlo-based null models of phylosymbiosis. bioRxiv, ver.4 peer-reviewed and recommended by PCI Evolutionary Biology https://doi.org/10.1101/2025.02.07.637028 Natalie J. Graham, Nicola J. Day, Gancho Slavov, Peter Ritchie, Steve A. Wakelin (2025) Evidence of phylosymbiosis in the microbiome of conifer roots. Phytobiomes J. 9(4):541-57. https://doi.org/10.1094/PBIOMES-03-25-0022-R Mathieu Groussin, Florent Mazel, Jon G Sanders, Chris S Smillie, Sebastien Lavergne, Wilfried Thuiller, Eric J Alm (2017) Unraveling the processes shaping mammalian gut microbiomes over evolutionary time. Nat Commun. 8:14319. https://doi.org/10.1038/ncomms14319 Kevin D. Kohl (2020) Ecological and evolutionary mechanisms underlying patterns of phylosymbiosis in host-associated microbial communities. Philos Trans R Soc Lond B Biol Sci. 375(1798):20190251. https://doi.org/10.1098/rstb.2019.0251 Shen J. Lim, Seth R Bordenstein (2020) An introduction to phylosymbiosis. Proc Biol Sci. 287(1922):20192900. https://doi.org/10.1098/rspb.2019.2900 Benoit Perez-Lamarque, Guilhem Sommeria-Klein, Lorena Duret, Helene Morlon (2023) Phylogenetic comparative approach reveals evolutionary conservatism, ancestral composition, and integration of vertebrate gut microbiota. Mol Biol Evol. 40(7):msad144. https://doi.org/10.1093/molbev/msad144 Man Qin, Jing Chen, Shifen Xu, Liyun Jiang, Gexia Qiao (2021) Microbiota associated with Mollitrichosiphum aphids (Hemiptera: Aphididae: Greenideinae): diversity, host species specificity and phylosymbiosis. Environ Microbiol. 23(4):2184-2198. https://doi.org/10.1111/1462-2920.15391 Brian K. Trevelline, Jahree Sosa, Barry K Hartup, Kevin D Kohl (2020) A bird's-eye view of phylosymbiosis: weak signatures of phylosymbiosis among all 15 species of cranes. Proc Biol Sci. 287(1923):20192988. https://doi.org/10.1098/rspb.2019.2988 | The effects of host phylogenetic coverage and congruence metric on Monte Carlo-based null models of phylosymbiosis | James G. DuBose | <p>Variation in host-associated microbial communities often parallels patterns of phylogenetic divergence between hosts, a pattern known as phylosymbiosis. Understanding of this phenomenon relies initially on quantifying phylosymbiotic signals fro... | ![]() | Bioinformatics & Computational Biology, Evolutionary Ecology, Species interactions | Ricardo Rodriguez de la Vega | Matthias Grenié | 2025-07-15 14:10:05 | View |
11 Dec 2025
Rehabilitating the benefits of gene tree correction in the presence of incomplete lineage sortingCeline Scornavacca, Manuel Lafond https://doi.org/10.1101/2025.07.09.663893Reassessing gene tree correction under incomplete lineage sortingRecommended by Christophe Dessimoz and Anne KupczokGene trees inferred from limited sequence data are central to many phylogenomic analyses, including orthology and paralogy assignment, reconstruction of gene family evolution, and downstream functional inference. However, short alignments, heterogeneous evolutionary processes, and incomplete lineage sorting (ILS) combine to make gene tree estimation error pervasive. A common practice is therefore to infer gene trees with fast maximum-likelihood (ML) methods and then apply species-tree-aware correction procedures that collapse low-support branches and refine the resulting polytomies using reconciliation criteria. Yan et al. (2023) challenged this practice in the presence of ILS. Using simulations, they reported that correcting gene trees toward a species tree—via tools such as TreeFix (Wu et al. 2013) and TRACTION (Christensen et al. 2020)—frequently increases topological error, and argued that such corrections can overfit gene trees to the species tree, obscuring genuine discordance due to ILS. Given widespread use of correction methods in phylogenomics, this claim has direct methodological consequences. In the preprint I am recommending here, Lafond and Scornavacca (2025) re-examine this question by analysing the same simulated data used by Yan et al. The study focuses on ecceTERA (Jacox et al. 2016), a parsimony-based reconciliation tool that minimizes duplication–loss (and optionally duplication–transfer–loss) cost while only modifying branches below a user-specified bootstrap threshold. The key question is whether such correction can reduce gene tree topological error relative to uncorrected ML trees, even when ILS is present. The authors reuse the original simulation design of Yan et al, based on 11 taxa and gene trees generated under a coalescent process with varying branch lengths, producing multiple datasets covering a grid of ILS intensity, sequence length, and mutation rate. On these datasets, Lafond and Scornavacca apply ecceTERA in two settings: duplication–loss (DL) and duplication–transfer–loss (DTL). In both cases, branches with bootstrap support below a threshold are collapsed, and ecceTERA searches for refinements minimizing the corresponding reconciliation cost. The principal result is that ecceTERA-based correction, when restricted to branches below a 50% bootstrap support threshold, generally reduces or maintains topological error compared to uncorrected gene trees. The study highlights the central role of branch support thresholds. Branches reflecting true ILS-driven discordance are often well-supported; collapsing only very weakly supported branches reduces the risk of erasing genuine signal while addressing regions likely to represent reconstruction artefacts. The choice of a 50% threshold aligns with the majority-rule criterion previously advocated in Bayesian consensus tree reporting (Holder et al. 2008), providing both empirical and theoretical justification. Following feedback from peer-review, the authors explicitly qualified the scope of their conclusions. Likelihood and Bayesian methods that explicitly model ILS and other processes, such as StarBEAST2 (Ogilvie et al. 2017), BPP (Flouri et al. 2023), PHYLDOG (Boussau et al. 2013), or AleRax (Morel et al. 2024), typically provide higher accuracy when computationally feasible and remain preferable in such settings. The present work instead addresses the practical question of whether fast correction procedures can still be safely used when only ML trees are available at genome scale. In that domain, the results support the continued use of species-tree-aware correction, under conservative thresholds and with appropriate reconciliation models. The study's limitations are clearly stated. The simulated data contain ILS but no true duplications, losses, or transfers, even though these events are the focus of reconciliation-based models. Additional simulations that jointly model ILS and gene-level events would be needed to fully characterize performance in more complex evolutionary scenarios. Moreover, the work does not aim to re-benchmark correction methods against fully probabilistic co-estimation approaches; it focuses on relative improvements over ML-only pipelines. Despite these restrictions, the article provides a clear and quantitatively supported answer to a practically relevant question. It shows that gene tree correction is not intrinsically detrimental under ILS and that previous negative conclusions arose in part from the use of a high bootstrap threshold and particular correction tools. The work therefore refines current understanding of when and how species-tree-aware correction should be applied in phylogenomics workflows.
References Boussau B, Szöllősi GJ, Duret L, Gouy M, Tannier E, Daubin V (2013). Genome-scale coestimation of species and gene trees. Genome Research 23:323–330. https://doi.org/10.1101/gr.141978.112 Christensen, S., Molloy, E. K., Vachaspati, P., Yammanuru, A. & Warnow, T. (2020). Non-parametric correction of estimated gene trees using TRACTION. Algorithms Mol. Biol. 15, 1. https://doi.org/10.1186/s13015-019-0161-8 Flouri T, Jiao X, Huang J, Rannala B, Yang Z. (2023). Efficient Bayesian inference under the multispecies coalescent with migration. Proc. Natl. Acad. Sci. U.S.A. 120(44):e2310708120. https://doi.org/10.1073/pnas.2310708120 Holder MT, Sukumaran J, Lewis PO. (2008). A justification for reporting the majority-rule consensus tree in Bayesian phylogenetics. Systematic Biology 57(5):814–821. https://doi.org/10.1080/10635150802422308 Jacox E, Chauve C, Szöllősi GJ, Ponty Y, Scornavacca C. (2016). ecceTERA: comprehensive gene tree–species tree reconciliation using parsimony. Bioinformatics 32(13):2056–2058. https://doi.org/10.1093/bioinformatics/btw105 Morel B, Williams TA, Stamatakis A, Szöllősi GJ. 2024. AleRax: a tool for gene and species tree co-estimation and reconciliation under a probabilistic model of gene duplication, transfer, and loss. Bioinformatics 40:btae162. https://doi.org/10.1093/bioinformatics/btae162 Ogilvie HA, Bouckaert RR, Drummond AJ. (2017). StarBEAST2 brings faster species tree inference and accurate estimates of substitution rates. Molecular Biology and Evolution 34(8):2101–2114. https://doi.org/10.1093/molbev/msx126 Lafond M, Scornavacca C (2025). Rehabilitating the benefits of gene tree correction in the presence of incomplete lineage sorting. bioRxiv, ver.3 peer-reviewed and recommended by PCI Evolutionary Biology https://doi.org/10.1101/2025.07.09.663893 Wu, Y.-C., Rasmussen, M. D., Bansal, M. S. & Kellis, M. (2013). TreeFix: statistically informed gene tree error correction using species trees. Syst. Biol. 62, 110–120. https://doi.org/10.1093/sysbio/sys076 Yan Z, Ogilvie HA, Nakhleh L. (2023). “Correcting” gene trees to be more like species trees frequently increases topological error. Genome Biology and Evolution 15(6):evad094. https://doi.org/10.1093/gbe/evad094
| Rehabilitating the benefits of gene tree correction in the presence of incomplete lineage sorting | Celine Scornavacca, Manuel Lafond | <p>Gene trees play an important role in various areas of phylogenomics. However, their reconstruction often relies on limited-length sequences and may not account for complex evolutionary events, such as gene duplications, losses, or incomplete li... | ![]() | Bioinformatics & Computational Biology, Phylogenetics / Phylogenomics | Christophe Dessimoz | Carsten Fortmann-Grote | 2025-07-11 18:08:16 | View |
18 Nov 2025
Sex chromosomes and chromosomal rearrangements are key to behavioural sexual isolation in Jaera albifrons marine isopodsAmbre Ribardière, Claire Daguin-Thiébaut, Jérôme Coudret, Gildas Le Corguillé, Komlan Avia, Céline Houbin, Stéphane Loisel, Pierre-Alexandre Gagnaire, Thomas Broquet https://doi.org/10.1101/2025.01.08.631900Jaera albifrons: the re-emergence of a model system for speciation research in the genomic eraRecommended by Thomas LenormandThe cause of isolation between species is often very difficult to determine, because multiple phenomena and layers usually come together in a given situation. Different species can live in different habitats, which limits their opportunity to meet (ecological premating isolation). They can also exhibit different sexual traits and preferences, which limit their opportunity to mate (sexual premating isolation). Furthermore, their offspring can suffer from lower viability and fertility, which limits further genetic exchanges (postmating isolation). The genetic basis of these phenomena has been under scrutiny for decades, but when ecology matters, depends on difficult field studies in a few model systems. In the 1950s–1970s, the intertidal marine isopods from the Jaera albifrons complex were a useful model for systematicians and cytogeneticists studying speciation and the role of chromosomal rearrangements (1–3). J. albifrons and J. praehirsuta, two species of that complex, are characterised by ecological and sexual isolation, but little postzygotic isolation, as can be concluded from the limited number of laboratory cross-breeding experiments conducted (4). In the field, however, these species sometimes share the same pebble habitat (notably in Normandy), while at other times they live in different algal versus pebble habitats (notably in Brittany). This system therefore allows contrasting two interesting situations in which both ecological and sexual premating isolation occur between the two species in Brittany, while only sexual premating isolation occurs in Normandy. Could this contrast reveal the contribution of ecological versus sexual isolation mechanisms? Can it reveal the genetic basis of sexual isolation? Can it reveal the role of chromosomal rearrangements in these contrasted cases? With these findings, they demonstrate elegantly that in the absence of ecological isolation, many genomic regions become homogenized by gene flow, while some regions resist its eroding effect, being likely involved in sexual isolation. This study also prompts new questions: what explains the important role of sex chromosomes in this context? The large X/Z effect is usually understood in the context of post-mating, not sexual, isolation (5, 6). Is there absolutely no post-mating isolation in these hybrids, with some Haldane rule pattern? Is the overrepresentation of low recombination regions merely a consequence of QTL detection bias? Are there other field locations where different or parallel contrasts can be made? Undoubtedly, however, with this landmark study, the Jaera albifrons complex (re)emerges as a new and fascinating model system for speciation research in the genomic era. References | Sex chromosomes and chromosomal rearrangements are key to behavioural sexual isolation in Jaera albifrons marine isopods | Ambre Ribardière, Claire Daguin-Thiébaut, Jérôme Coudret, Gildas Le Corguillé, Komlan Avia, Céline Houbin, Stéphane Loisel, Pierre-Alexandre Gagnaire, Thomas Broquet | <p>The lack of sexual attraction between individuals from different populations is a direct barrier to gene flow between these populations. Here we focus on the evolution of this class of isolating mechanism, behavioural sexual isolation, through ... | ![]() | Behavior & Social Evolution, Hybridization / Introgression, Population Genetics / Genomics, Reproduction and Sex, Sexual Selection, Speciation | Thomas Lenormand | Anonymous, Sophie Karrenberg | 2025-01-13 11:00:25 | View |
18 Nov 2025
A model for background selection in non-equilibrium populationsGustavo V. Barroso, Aaron P. Ragsdale https://doi.org/10.1101/2025.02.19.639084Two locus theory enables accurate prediction of even weak background selection under non-equilibrium demographyRecommended by Jeffrey Ross-IbarraLinked selection is a major factor determining patterns of diversity along the genomes of many species. As it results from the ubiquitous process of selection against deleterious alleles, background selection (BGS) is often considered the predominant form of linked selection. Classic models of BGS, however, often ignore weakly deleterious mutations and assume populations are at demographic equilibrium. Real genomes include many weakly selected alleles, and real populations are rarely at equilibrium. Classic BGS models fail to incorporate these dynamics, and in realistic scenarios can incorrectly predict changes in diversity along the genome, which in turn impacts downstream evolutionary inference. While previous work had identified some of these problems, formal approaches to resolving them have been lacking. Barroso and Ragsdale address non-equilibrium demography and weak BGS with new theoretical work that builds on Hill-Robertson two-locus statistics. They show via simulation the accuracy of their new approach, demonstrate how non-equilibrium dynamics can bias models of BGS that rely on classic equilibrium assumptions, and how incorporating the full range of selection coefficients -- including weakly selected alleles -- improves the prediction of diversity along the genome. They then document how biases from using equilibrium theory can impact one example of downstream inference, the estimation of the distribution of fitness effects of new mutations. This is a significant step forward in our understanding of, and, crucially, our ability to model BGS. As predictions of BGS are frequently incorporated into a wide range of analyses and models, this work will advance our understanding of the interaction of different evolutionary forces that pattern genetic diversity along genomes. References Gustavo V. Barroso, Aaron P. Ragsdale (2025) A model for background selection in non-equilibrium populations. bioRxiv, ver.3 peer-reviewed and recommended by PCI Evolutionary Biology https://doi.org/10.1101/2025.02.19.639084 | A model for background selection in non-equilibrium populations | Gustavo V. Barroso, Aaron P. Ragsdale | <p>In many taxa, levels of genetic diversity are observed to vary along their genome. The framework of background selection models this variation in terms of linkage to constrained sites, and recent applications have been able to explain a large p... | ![]() | Bioinformatics & Computational Biology, Population Genetics / Genomics | Jeffrey Ross-Ibarra | Thomas Guillemaud | 2025-03-18 15:43:49 | View |
13 Nov 2025
Increased clonality, decreased allele diversity and high genetic structure in tetraploid sea anemone Aulactinia stella populations from North Pacific to Atlantic across the Arctic OceanEkaterina Bocharova, Alexander Volkov, Solenn Stoeckel https://doi.org/10.1101/2025.04.24.650399Sex and Clonality Across the Arctic: Lessons from the sea anemone Aulactinia stellaRecommended by Benoit Nabholz based on reviews by Kerstin Johannesson, Malgorzata Lagisz and 1 anonymous reviewerThis study provides an interesting contribution to our understanding of reproductive strategies and genetic diversity in Arctic marine invertebrates. The authors investigate the reproductive modes of the circumpolar sea anemone Aulactinia stella across a broad geographic range, from the northern Pacific to the Atlantic, combining population genetic analyses with observations of reproductive structures. Their results reveal a geographic pattern in reproductive strategies, with predominantly clonal populations in the Atlantic and more sexually reproducing populations in the Pacific. The identification of parthenogenesis as a reproductive mode in A. stella, along with strong clonality in several Arctic populations, has important implications for understanding how sessile organisms persist and disperse in extreme and rapidly changing environments. The strength of this work lies in the extensive sampling carried out across the entire range of the species. The study also has some limitations, which are adequately discussed in the text, mainly the use of microsatellites that may display mutational patterns difficult to interpret (Ellegren, 2004). Overall, this work is methodologically sound, clearly presented, and provides valuable data for understanding the evolution and connectivity of Arctic species. It will be of broad interest to researchers studying reproductive evolution, population genetics, and biogeography in polar ecosystems. References Ekaterina Bocharova, Alexander Volkov, Solenn Stoeckel (2025) Increased clonality, decreased allele diversity and high genetic structure in tetraploid sea anemone Aulactinia stella populations from North Pacific to Atlantic across the Arctic Ocean. bioRxiv, ver.3 peer-reviewed and recommended by PCI Evolutionary Biology https://doi.org/10.1101/2025.04.24.650399 Ellegren, H. (2004) Microsatellites: simple sequences with complex evolution. Nature Reviews Genetics, 5, 435–445. https://doi.org/10.1038/nrg1348 | Increased clonality, decreased allele diversity and high genetic structure in tetraploid sea anemone Aulactinia stella populations from North Pacific to Atlantic across the Arctic Ocean | Ekaterina Bocharova, Alexander Volkov, Solenn Stoeckel | <p>Reproductive mode is a key factor shaping genetic diversity, evolutionary potential, and the processes of dispersal and colonization. Clonality is particularly common in harsh environments and at the margins of species ranges, where it supports... | ![]() | Adaptation, Evolutionary Dynamics, Evolutionary Ecology, Phylogeography & Biogeography, Population Genetics / Genomics, Reproduction and Sex | Benoit Nabholz | Malgorzata Lagisz | 2025-04-27 00:20:04 | View |
06 Nov 2025
Assessing the potential of ancient protein sequences in the study of hominid evolutionIoannis Patramanis, Enrico Cappellini, Fernando Racimo https://doi.org/10.1101/2025.04.08.647730Measuring the Phylogenetic Information in ProteinsRecommended by Alan RogersThe first molecular sequences used in the study of evolution were those of proteins. These were supplanted in the 1980s and 90s by DNA sequence data, which are more informative because there are three nucleotides for every amino acid, because the genome contains vast stretches of DNA that don’t encode protein at all, and because much of this non-coding DNA evolves rapidly. Nonetheless, protein sequences are making a comeback because proteins are less fragile than DNA. It is often possible to recover protein sequences from fossil organisms that yield no DNA, and this allows us to reach back farther into the past. It also gives new life to an old question: how much phylogenetic information is there in a limited sample of proteins? This is the question that Patramanis et al. [1] address. In this effort, they have an advantage that was not available to their predecessors of the 1960s and 70s: having access to entire genome sequences, they can estimate the phylogenetic tree very accurately. Given this “true” tree, they then ask how often the protein data lead us astray. I will highlight two findings. The first has to do with the loss of information--which they measure as *entropy*--as one first strips the introns out of genes and then translates the codons that remain into amino acids. Patramanis et al. show that much information is lost in the first of these steps but only a little in the second. This suggests that the lower phylogenetic resolution of proteins results mainly from the absence of introns, not from translating codons into amino acids. The second finding is fascinating, because it presents us with a puzzle. Patramanis and his colleagues study phylogenetic problems at two different time scales: the phylogeny of the great apes and humans, which has a time depth of about 6 Ma, and that of modern humans, Neanderthals, and Denisovans, which has a depth of about 0.6 Ma. At the deeper time scale, their results are unsurprising: the more proteins one uses, the greater the chance of getting the right answer. Not so however for the shallower time scale. Four proteins are better than one, but subsequent proteins yield no improvement. Indeed, each additional protein increased the support for one particular incorrect tree, in which moderns and Neanderthals are sister taxa, and Denisovans are distant relatives. I will call this the "((M,N),D) tree." This raises the question of admixture: perhaps the copies of these genes carried by modern humans are enriched with DNA derived from admixture with Neanderthals. Patramanis et al. show that a Neanderthal haplotype in one of these genes is at elevated frequency in some populations. To control for this, they tried restricting the modern human sample to Africans, who show less evidence of archaic admixture. This did improve things a bit, but the protein data continued to support the ((M,N),D) tree. The authors suggest that at this time scale, protein sequences are simply not very informative, and I’m sure this is true. Yet it remains puzzling that each additional protein adds support for a single incorrect tree. This suggests that some other factor may also be at work, and I will suggest one possibility. Current methods for localizing admixture within the genome work by searching for intact haplotypes derived from other populations. This works well as long as the haplotypes remain intact. But over time, recombination breaks haplotypes into smaller and smaller fragments, which eventually become undetectable. This problem is acute in regions of high recombination and when the episode of admixture is ancient. As the authors observe, two sorts of admixture could generate the ((M,N),D) tree: moderns could carry Neanderthal DNA, or Denisovans could carry DNA from a distantly-related "superarchaic" population [2–7]. The authors control for the first of these by restricting the modern human sample to Africans, but there is no obvious way to control for the second. It will be interesting, in future research, to find out whether these genes are enriched for either form of admixture, with admixed haplotypes that are too small for current methods to detect. References [1] Ioannis Patramanis et al. "Assessing the potential of ancient protein sequences in the study of hominid evolution". bioRxiv (2025), ver. 3 peer-reviewed and recommended by PCI Evolutionary Biology. https://doi.org/10.1101/2025.04.08.647730. [2] Martin Kuhlwilm et al. "Ancient gene flow from early modern humans into Eastern Neanderthals". Nature 530.7591 (2016), pp. 429–433. https://doi.org/10.1038/nature16544. [3] Kay Prüfer et al. "The complete genome sequence of a Neanderthal from the Altai Mountains". Nature 505.7481 (2014), pp. 43–49. https://doi.org/10.1038/nature12886. [4] Kay Prüfer et al. "A high-coverage Neandertal genome from Vindija Cave in Croatia". Science 358.6363 (2017), pp. 655–658. https://doi.org/10.1126/science.aao1887. [5] Alan R. Rogers, Nathan S. Harris, and Alan A. Achenbach. "Neanderthal-Denisovan ancestors interbred with a distantly-related hominin". Science Advances 6.8 (2020), eaay5483. https://doi.org/10.1126/sciadv.aay5483. [6] P. J. Waddell. "Happy New Year Homo erectus? More Evidence for Interbreeding with Archaics Predating the Modern Human/Neanderthal Split". ArXiv 1312.7749 (2013). https://doi.org/10.48550/arXiv.1312.7749. [7] Peter J Waddell, Jorge Ramos, and Xi Tan. "Homo denisova, correspondence spectral analysis, finite sites reticulate hierarchical coalescent models and the Ron Jeremy hypothesis". ArXiv 1112.6424 (2011). https://doi.org/10.48550/arXiv.1112.6424.
| Assessing the potential of ancient protein sequences in the study of hominid evolution | Ioannis Patramanis, Enrico Cappellini, Fernando Racimo | <p>SummaryPalaeoproteomic data can provide invaluable insights into hominid evolution over long timescales. Yet, the potential and limitations of ancient protein sequences to resolve evolutionary relations between species remains largely unexplore... | ![]() | Bioinformatics & Computational Biology, Human Evolution, Molecular Evolution, Paleontology, Phylogenetics / Phylogenomics, Population Genetics / Genomics | Alan Rogers | Barbara Class | 2025-04-15 15:28:38 | View |
31 Oct 2025
Asymmetric performance in early life stages of hybrid Argiope bruennichiSebastian Franke, Alina Volquardsen, Jutta M. Schneider https://doi.org/10.17605/OSF.IO/3JFM5Hybridisation as a driver of evolutionary innovation and range expansion in the wasp spiderRecommended by Hélène Jourdan-Pineau based on reviews by Matthias Foellmer, Aimee Deconinck, Raphaël Royauté and 1 anonymous reviewerHybridisation, the interbreeding between distinct species or populations, can act as a powerful mechanism of evolutionary innovation. Hybridization has been demonstrated to play a role in range expansion and biological invasions (Verhoeven et al., 2011). When gene pools that have evolved in isolation come into secondary contact, their combination can generate novel phenotypes that extend beyond parental variation, providing the raw material for rapid adaptation in new or changing environments. Hybridisation can produce a wide range of outcomes, from hybrid vigour (heterosis) to hybrid depression. In cases of heterosis, hybrids outperform their parents thanks to overdominance or because deleterious recessive alleles are masked in heterozygotes. Conversely, hybrid depression can arise when the co-adapted gene complexes of the parents are disrupted, or when hybrids are less well adapted to parental environment. The direction and magnitude of these effects depend on the specific genetic combinations involved, as well as the ecological context in which hybridisation occurs. The wasp spider (Argiope bruennichi) offers a particularly convincing example of how hybridisation can influence adaptation and range expansion. It has been shown that hybridisation between Asian and European populations has occurred in Eastern and Central Europe, and the resulting hybrid population has expanded its distribution northwards (Krehenwinkel et al., 2015). Introgression of Asian alleles into the southern European gene pool may have enabled this hybrid lineage to tolerate colder conditions, facilitating its colonisation of northern latitudes. Furthermore, previous behavioural work revealed that hybridisation is most likely to occur between European females and Asian males (Franke & Schneider, 2025). Using controlled crosses between females from southern France (representing the European lineage) and males from Japan (the Asian lineage), Franke et al. (2025) mimicked the hybridisation that occurred in the wild. Reciprocal crosses were also made, along with pure parental lines. They compared life history traits of hybrid lines to parental lines under different environmental conditions — varying temperature, day length, and food availability. This experimental design allowed the authors to assess how hybridisation affects offspring fitness and to determine how this process contributes to the species’ northward expansion. The authors reveal marked differences among crosses based on the performance of 2,868 offspring spiders across treatments. As expected, the most Northern climatic treatment induced faster growth and early mortality whereas low food availability decreased growth rate. Crosses between French females and Japanese males showed significantly lower hatching success, growth rate and survival rates, under all environmental treatments, consistent with hybrid depression. In contrast, the reciprocal cross (Japanese female × French male) performed comparably to the pure parental lines. This suggests that incompatibility between the two populations is not general but rather specific to cross direction. This asymmetry likely stems from mitonuclear incompatibility, the mismatched interaction between maternally inherited mitochondrial genomes and paternal nuclear genes. This study of A. bruennichi highlights the complexity of hybridisation as an evolutionary process. The outcome depends not only on the genetic architecture of the parental populations but also on the direction of hybridisation and on the environmental context.
References Franke S, Schneider JM (2025) Simulating a hybridization event of a range-expanding sexual cannibal (Argiope bruennichi). Biological Journal of the Linnean Society, 144, blae018. https://doi.org/10.1093/biolinnean/blae018 Franke S, Volquardsen A, Schneider JM (2025) Asymmetric performance in early life stages of hybrid Argiope bruennichi. OSF , ver.2 peer-reviewed and recommended by PCI Evolutionary Biology https://doi.org/10.17605/OSF.IO/3JFM5 Krehenwinkel H, Rödder D, Tautz D (2015) Eco-genomic analysis of the poleward range expansion of the wasp spider Argiope bruennichi shows rapid adaptation and genomic admixture. Global Change Biology, 21, 4320–4332. https://doi.org/10.1111/gcb.13042 Verhoeven KJF, Macel M, Wolfe LM, Biere A (2011) Population admixture, biological invasions and the balance between local adaptation and inbreeding depression. Proceedings of the Royal Society B: Biological Sciences, 278, 2–8. https://doi.org/10.1098/rspb.2010.1272
| Asymmetric performance in early life stages of hybrid *Argiope bruennichi* | Sebastian Franke, Alina Volquardsen, Jutta M. Schneider | <p>Hybridisation of different species or isolated populations is an important driver of animal speciation. Hybrid populations oftentimes outperform their parent populations due to novel genetic combinations, exhibiting hybrid vigour. Conversely, h... | ![]() | Evolutionary Ecology, Hybridization / Introgression, Life History | Hélène Jourdan-Pineau | Raphaël Royauté | 2025-06-11 13:42:44 | View |
11 Aug 2025
Comparative genomics of Rickettsiella bacteria reveal variable metabolic pathways potentially involved in symbiotic interactions with arthropodsAnna M. Floriano, Adil El-Filali, Julien Amoros, Marie Buysse, Hélène Jourdan-Pineau, Hein Sprong, Robert Kohl, Ron P. Dirks, Peter Schaap, Jasper Koehorst, Bart Nijsse, Didier Bouchon, Vincent Daubin, Fabrice Vavre, Olivier Duron https://doi.org/10.1101/2024.12.03.626579Unravelling the Genomic Diversity and Potential Roles of Tick-Associated RickettsiellaRecommended by Emmanuelle Jousselin based on reviews by Hiroshi Arai and 1 anonymous reviewer A central finding of the study is that tick-associated Rickettsiella are not monophyletic but are instead scattered across the Rickettsiella clade, consistent with repeated horizontal transfers among arthropods. The authors interpret genomic features such as moderate genome reduction, pseudo-genization, low mobile element content, and intermediate completeness scores as consistent with relatively recent symbiotic associations. Interestingly in one tick species lacking Coxiella -the typical nutritional symbiont of ticks- Ricketsiella is found as the sole bacterial symbiont that could fill nutritional functions. These results on rick-associated Rickettsiella evolutionary origins echoe patterns seen in other symbiont-arthropod systems where nutritional symbiont distribution and evolutionary history reflect frequent turnover and replacements (e.g. Mao & Bennett 2020; Martin Říhová et al. 2020). Another major finding is the variability in metabolic capacities across strains, particularly regarding B vitamin and heme biosynthesis pathways. This heterogeneity supports the hypothesis that different Rickettsiella strains may confer distinct functional benefits to their hosts, possibly contributing to nutritional supplementation - a function already attributed to other bacterial endosymbionts in blood-feeding arthropods. The detection of homologs to Wolbachia’s cif genes in some Rickettsiella genomes from two strains also suggests the potential for reproductive manipulation by this endosymbionts akin to cytoplasmic incompatibility (CI). Rather than over-interpreting these findings, the authors draw cautious parallels with other intracellular bacteria such as Coxiella, Legionella, Wolbachia, and Rickettsia. Similarly, the study does not attempt to definitively resolve the functional role of the metabolic genes in host interactions but instead lays out clear hypotheses and comparative patterns that can guide future research. It emphasizes the importance of integrating genomics with transcriptomics, metabolomics, and in vivo assays to directly test symbiont function. Overall, this study brings substantial data to the field of arthropod microbiome research, particularly within the complex tick endosymbiont community. Ticks harbor a diverse array of bacterial associates—some pathogenic, others mutualistic—yet the ecological and evolutionary implications of many remain poorly understood. This work helps fill key knowledge gaps for Rickettsiella, a genus that includes both pathogenic and mutualistic representatives across arthropods. In summary, the study offers novel insights into the diversity and evolutionary biology of Rickettsiella. While rich in descriptive and comparative content, it remains appropriately cautious when interpreting how genomic potential translates to host phenotypes. In doing so, it provides an essential genomic foundation for future research into the complex interplay between ticks and their microbial partners. References Anna M. Floriano, Adil El-Filali, Julien Amoros, Marie Buysse, Hélène Jourdan-Pineau, Hein Sprong, Robert Kohl, Ron P. Dirks, Peter Schaap, Jasper Koehorst, Bart Nijsse, Didier Bouchon, Vincent Daubin, Fabrice Vavre, Olivier Duron (2025) Comparative genomics of Rickettsiella bacteria reveal variable metabolic pathways potentially involved in symbiotic interactions with arthropods. bioRxiv, ver.3 peer-reviewed and recommended by PCI Evolutionary Biology https://doi.org/10.1101/2024.12.03.626579 Mao, M., & Bennett, G. M. (2020). Symbiont replacements reset the co-evolutionary relationship between insects and their heritable bacteria. The ISME journal, 14(6), 1384-1395. https://doi.org/10.1038/s41396-020-0616-4 Martin Říhová, J., Gupta, S., Darby, A. C., Nováková, E., & Hypša, V. (2023). Arsenophonus symbiosis with louse flies: multiple origins, coevolutionary dynamics, and metabolic significance. Msystems, 8(5), e00706-23. https://doi.org/10.1128/msystems.00706-23
| Comparative genomics of *Rickettsiella* bacteria reveal variable metabolic pathways potentially involved in symbiotic interactions with arthropods | Anna M. Floriano, Adil El-Filali, Julien Amoros, Marie Buysse, Hélène Jourdan-Pineau, Hein Sprong, Robert Kohl, Ron P. Dirks, Peter Schaap, Jasper Koehorst, Bart Nijsse, Didier Bouchon, Vincent Daubin, Fabrice Vavre, Olivier Duron | <p>Members of the <em>Rickettsiella</em> genus (order: <em>Legionellales</em>) are emerging as widespread bacteria associated with insects, arachnids, and crustaceans. While some <em>Rickettsiella</em> strains are highly virulent pathogens, others... | ![]() | Bioinformatics & Computational Biology, Evolutionary Ecology, Genome Evolution, Phylogenetics / Phylogenomics | Emmanuelle Jousselin | 2025-01-07 16:30:32 | View | |
19 Jul 2025
Integrating ethnolinguistic and archaeobotanical data to uncover the origin and dispersal of cultivated sorghum in Africa: a genomic perspectiveAude Gilabert, Monique Deu, Louis Champion, Philippe Cubry, Armel Donkpegan, Jean-Francois Rami, David Pot, Yves Vigouroux, Christian Leclerc https://doi.org/10.1101/2025.04.16.648676Interdisciplinarity is a powerful and unavoidable toolbox to unravel complex questions. The case of sorghum crop origin and expansionRecommended by Juan ArroyoCross-discipline research is an increasing need in modern world just to fit societal expectations or simply to better achieve one critical aim of scientific inquiry, to know the true causes of facts, both proximate and ultimate. This is increasingly notorious in day-to-day life of researchers, as evaluation of research grants and careers considers multi-, inter- and trans-disciplinarity as items to be specifically addressed (Porter et al., 2008; Wagner et al., 2011). Whereas interdisciplinarity is also encouraged by top journals, even by those within classical scientific disciplines, most of papers are not beyond multidisciplinarity, that is, they use methods and/or approach interpretations based on those proper of each field, but results do not surpass a merely additive advance. True interdisciplinarity means that results obtained lay far beyond those obtained by the single disciplines composing the study. Complex questions need also complex approaches. This is a difficult aim since methods should be properly linked (Lynch, 2006). Here we recommend a genuine interdisciplinary paper (Gilabert et al. 2025). Cavalli-Sforza, L. L. (1997). Genes, peoples, and languages. Proceedings of the National Academy of Sciences, 94(15), 7719-7724. https://doi.org/10.1073/pnas.94.15.7719 Diamond, J. (1997). Guns. Germs and Steel: The Fates of Human Societies, Vintage, 186. Gilabert A., Deu M., Champion L., Cubry Ph., Donkpegan A. Rami J.F., Pot D., Vigouroux Y., Leclerc Ch. (2025). Integrating ethnolinguistic and archaeobotanical data to uncover the origin and dispersal of cultivated sorghum in Africa: a genomic perspective. bioRxiv, ver.1 peer-reviewed and recommended by PCI Evolutionary Biology. https://doi.org/10.1101/2025.04.16.648676 Joussaume S., Taylor K.E. (2000) The palaeoclimate modeling intercomparison project. Palaeoclimate modelling intercomparison project (PMIP). Proceedings of the Third PMIP Workshop, La Huardiere, Canada, 4–8 October 1999, (ed. by P. Braconnot), pp. 9 – 25. World Meteorological Organization, Geneva, Switzerland. Lynch, J. (2006). It's not easy being interdisciplinary. International journal of epidemiology, 35(5), 1119-1122. https://doi.org/10.1093/ije/dyl200 Porter, A. L., Roessner, D. J., & Heberger, A. E. (2008). How interdisciplinary is a given body of research?. Research evaluation, 17(4), 273-282. https://doi.org/10.3152/095820208X364553 Tao, L., Yuan, H., Zhu, K., Liu, X., Guo, J., Min, R., He, H., Cao, D., Yang, X., Zhou, Z., Wang, R., Zhao, D., Ma, H., Chen, J., Zhao, J., Li, Y., He, Y., Suo, D., Zhang, R., Li, S., Li, L., Yang, F., Li, H., Zhang, L., Jin, L., Wang, C.-C., 2023. Ancient genomes reveal millet farming-related demic diffusion from the Yellow River into southwest China. Curr. Biol. Volume 33, Issue 22 P4995-5002.E7 https://doi.org/10.1016/j.cub.2023.09.055 Wagner, C. S., Roessner, J. D., Bobb, K., Klein, J. T., Boyack, K. W., Keyton, J., ... & Börner, K. (2011). Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature. Journal of informetrics, 5(1), 14-26. https://doi.org/10.1016/j.joi.2010.06.004 | Integrating ethnolinguistic and archaeobotanical data to uncover the origin and dispersal of cultivated sorghum in Africa: a genomic perspective | Aude Gilabert, Monique Deu, Louis Champion, Philippe Cubry, Armel Donkpegan, Jean-Francois Rami, David Pot, Yves Vigouroux, Christian Leclerc | <p>Archaeobotanical evidence suggests that the beginning of cultivation and emergence of domesticated sorghum was located in eastern Sudan during the fourth millennium BCE. Here, we used a genomic approach, together with archaeobotanical and ethno... | ![]() | Other, Population Genetics / Genomics | Juan Arroyo | 2025-04-18 11:26:59 | View | |
27 Jun 2025
Information and motor constraints shape melodic diversity across culturesJohn M McBride, Nahie Kim, Yuri Nishikawa, Mekhmed Saadakeev, Marcus T Pearce, Tsvi Tlusty https://doi.org/10.48550/arXiv.2408.12635Human cognition structures cross-cultural variation in musical melodiesRecommended by Alex MesoudiMusic, like language, is a human universal. Every society ever studied has some form of music (Mehr et al., 2019), notwithstanding rare cases where particular forms of music (e.g. infant-directed lullabies) have been lost (Singh & Hill, 2025). But interestingly, both language and music show substantial cross-cultural regularities (Savage et al., 2015). Despite the vast space of possible combinations of elements (letters and words in language, notes and rhythm in musical melodies), we only observe a tiny fraction of those possibilities in actual human societies. Why is this? McBride et al. (2025) tackle this question for musical melodies. The popular vocal motor hypothesis assumes that physiological constraints make some melodies easier to physically produce, and therefore more likely to appear cross-culturally. But many aspects of melodies, such as repetition and song length, cannot be explained by physiological constraints alone. McBride et al. present and test a new hypothesis: that melodies are also constrained by the way the brain encodes, stores and retrieves information in memory. They tested this cognitive or information constraint hypothesis in 108 cross-cultural musical datasets covering folk music, notated art music performed professionally, and music for children. Using various information-theoretic measures, McBride et al. show that melodies vary in ways predictable from considerations of information transmission. For example, notated art music is more informationally complex than folk music, which in turn is more complex than music for children. Across all music types, there appears to be an upper limit of complexity above which melodies cannot be successfully learned and remembered. And there is tentative evidence that informational complexity has increased over time at least in Western art music, providing evidence for cumulative cultural evolution (Mesoudi & Thornton, 2018) in music, not just science and technology as is typically considered. We should not be too surprised that cognitive processes structure the transmission and evolution of musical melodies. Previous experimental and modelling work in the field of cultural evolution shows that cognition structures aspects of transmitted languages (Kirby et al., 2008), classification schemes (Griffiths et al., 2008) and event knowledge (Mesoudi & Whiten, 2004). McBride et al.’s demonstration of informational constraints on musical melodies adds another domain to this list, as well as opens up several avenues for the further study of music. For example, there may be important differences between vocally- and instrumentally-produced melodies that could not be properly assessed using McBride et al.’s dataset, while musical domains could be more fine-grained going beyond art, folk and child music. It would also be interesting to explore how informational and physiological constraints interact with one another, and how evolving musical instrument technology (e.g. see Nia et al., 2015) co-evolves with both of these.
References Griffiths, T. L., Christian, B. R., & Kalish, M. L. (2008). Using categorical structures to test iterated learning as a method for identifying inductive biases. Cognitive Science, 32, 68–107. https://doi.org/10.1080/03640210701801974 Kirby, S., Cornish, H., & Smith, K. (2008). Cumulative cultural evolution in the laboratory: An experimental approach to the origins of structure in human language. Proceedings of the National Academy of Sciences, 105(31), 10681–10686. https://doi.org/10.1073/pnas.0707835105 McBride, J. M., Kim, N., Nishikawa, Y., Saadakeev, M., Pearce, M. T., & Tlusty, T. (2025). Information and motor constraints shape melodic diversity across cultures. arXiv, ver.3 peer-reviewed and recommended by PCI Evolutionary Biology. https://doi.org/10.48550/arXiv.2408.12635 Mehr, S. A., Singh, M., Knox, D., Ketter, D. M., Pickens-Jones, D., Atwood, S., Lucas, C., Jacoby, N., Egner, A. A., Hopkins, E. J., Howard, R. M., Hartshorne, J. K., Jennings, M. V., Simson, J., Bainbridge, C. M., Pinker, S., O’Donnell, T. J., Krasnow, M. M., & Glowacki, L. (2019). Universality and diversity in human song. Science, 366(6468), eaax0868. https://doi.org/10.1126/science.aax0868 Mesoudi, A., & Thornton, A. (2018). What is cumulative cultural evolution? Proceedings of the Royal Society B, 285(1880), 20180712. https://doi.org/10.1098/rspb.2018.0712 Mesoudi, A., & Whiten, A. (2004). The hierarchical transformation of event knowledge in human cultural transmission. Journal of Cognition and Culture, 4(1), 1–24. https://doi.org/10.1163/156853704323074732 Nia, H. T., Jain, A. D., Liu, Y., Alam, M.-R., Barnas, R., & Makris, N. C. (2015). The evolution of air resonance power efficiency in the violin and its ancestors. Proceedings of the Royal Society of London A, 471(2175), 20140905. https://doi.org/10.1098/rspa.2014.0905 Savage, P. E., Brown, S., Sakai, E., & Currie, T. E. (2015). Statistical universals reveal the structures and functions of human music. Proceedings of the National Academy of Sciences, 112(29), 8987–8992. https://doi.org/10.1073/pnas.1414495112 Singh, M., & Hill, K. (2025). Loss of dance and infant-directed song among the Northern Aché. Current Biology, 35(10), 2444-2447.e1. https://doi.org/10.1016/j.cub.2025.04.018
| Information and motor constraints shape melodic diversity across cultures | John M McBride, Nahie Kim, Yuri Nishikawa, Mekhmed Saadakeev, Marcus T Pearce, Tsvi Tlusty | <p>The number of possible melodies is unfathomably large, yet despite this virtually unlimited potential for melodic variation, melodies from different societies can be surprisingly similar. The motor constraint hypothesis accounts for certain sim... | ![]() | Behavior & Social Evolution, Other | Alex Mesoudi | 2025-03-19 10:34:15 | View |
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