Latest recommendations
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31 Jan 2025
![]() Dark side of the honeymoon: reconstructing the Asian x European rose breeding history through the lens of genomicsThibault Leroy, Elise Albert, Tatiana Thouroude, Sylvie Baudino, Jean-Claude Caissard, Annie Chastellier, Jerome Chameau, Julien Jeauffre, Therese Loubert, Saretta Nindya Paramita, Alix Pernet, Vanessa Soufflet-Freslon, Cristiana Oghina-Pavie, Fabrice Foucher, Laurence Hibrand-Saint Oyant, Jeremy Clotault https://doi.org/10.1101/2023.06.22.546162A genomic view on the history of rose garden breeding in EuropeRecommended by mathieu gautier based on reviews by Pierre Nouhaud, Vincent Segura and 1 anonymous reviewerRoses, a symbol of love and beauty, have a rich history of cultivation that spans millennia. While their aesthetic appeal has remained a constant, the genetic changes underlying their domestication and breeding remain intriguing. The manuscript titled "Dark side of the honeymoon: reconstructing the Asian x European rose breeding history through the lens of genomics" by Leroy et al. provides an unprecedented insight into the genomic shifts that accompanied the breeding history of roses in Europe during the 19th century. By leveraging on genotyping and whole-genome sequencing data from more than 200 accessions, this study reconstructs the genetic journey of roses from their European origins to their integration with Asian varieties. This work is particularly fascinating for evolutionary biologists, geneticists, and horticulturists alike, as it sheds light on several critical aspects of plant breeding history. The study provides compelling evidence of a rapid transition from predominantly European to a near-Asian genetic background within a few generations. This shift highlights the strong influence of Asian roses in shaping modern cultivated varieties, particularly through the introduction of recurrent blooming traits, novel colors, and scents. A striking finding is the reduction in genetic diversity that occurred during this transition, likely due to selective breeding practices that prioritized a narrow set of desirable traits. This discovery underscores the potential risks of genetic bottlenecks in cultivated plants and raises concerns about the long-term sustainability of modern rose breeding programs. The study also features a robust methodological framework applied to a unique data set which includes 204 rose accessions, covering both botanically and historically significant varieties. Whole genome sequencing of 32 accessions provides high-resolution insights into genomic evolution. Comprehensive phenotypic characterization over multiple years further allows in-depth investigation of the genetic architecture of key horticultural traits such as petal number, flowering time, disease resistance, and scent composition, with the building of the largest GWAS catalog for roses to date. Finally, the findings emphasize the need for sustainable breeding practices that balance genetic innovation with the preservation of historical diversity, by maintaining rose collections. Integrating ancient genetic resources into modern breeding programs could enhance resilience against diseases and environmental changes, while maintaining the aesthetic qualities that make roses so beloved. Overall, the manuscript by Leroy et al. is a landmark contribution to our understanding of the genomic history of rose breeding. By merging historical records with cutting-edge genomic analysis, the study not only reconstructs a critical phase of horticultural evolution but also provides invaluable insights for future breeding strategies. References Thibault Leroy, Elise Albert, Tatiana Thouroude, Sylvie Baudino, Jean-Claude Caissard, Annie Chastellier, Jerome Chameau, Julien Jeauffre, Therese Loubert, Saretta Nindya Paramita, Alix Pernet, Vanessa Soufflet-Freslon, Cristiana Oghina-Pavie, Fabrice Foucher, Laurence Hibrand-Saint Oyant, Jeremy Clotault (2024) Dark side of the honeymoon: reconstructing the Asian x European rose breeding history through the lens of genomics. bioRxiv, ver.4 peer-reviewed and recommended by PCI Evol Biol https://doi.org/10.1101/2023.06.22.546162 | Dark side of the honeymoon: reconstructing the Asian x European rose breeding history through the lens of genomics | Thibault Leroy, Elise Albert, Tatiana Thouroude, Sylvie Baudino, Jean-Claude Caissard, Annie Chastellier, Jerome Chameau, Julien Jeauffre, Therese Loubert, Saretta Nindya Paramita, Alix Pernet, Vanessa Soufflet-Freslon, Cristiana Oghina-Pavie, Fab... | <p>Roses hold significant symbolic value in Western cultural heritage, often serving as a symbol of love and romance. Despite their ancient cultivation, the appreciation for the phenotypic diversity of roses emerged relatively recently, notably du... | ![]() | Genotype-Phenotype, Hybridization / Introgression, Population Genetics / Genomics | mathieu gautier | Vincent Segura, Anonymous, Pierre Nouhaud | 2024-04-18 12:28:31 | View |
07 Nov 2019
![]() New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectationsArnaud-Haond, Sophie, Stoeckel, Solenn, and Bailleul, Diane https://doi.org/10.48550/arXiv.1902.10240Inferring rates of clonal versus sexual reproduction from population genetics dataRecommended by Olivier J Hardy based on reviews by Ludwig TRIEST, Stacy Krueger-Hadfield and 1 anonymous reviewerIn partially clonal organisms, genetic markers are often used to characterize the genotypic diversity of populations and infer thereof the relative importance of clonal versus sexual reproduction. Most studies report a measure of genotypic diversity based on a ratio, R, of the number of distinct multilocus genotypes over the sample size, and qualitatively interpret high / low R as indicating the prevalence of sexual / clonal reproduction. However, a theoretical framework allowing to quantify the relative rates of clonal versus sexual reproduction from genotypic diversity is still lacking, except using temporal sampling. Moreover, R is intrinsically highly dependent on sample size and sample design, while alternative measures of genotypic diversity are more robust to sample size, like D*, which is equivalent to the Gini-Simpson diversity index applied to multilocus genotypes. Another potential indicator of reproductive strategies is the inbreeding coefficient, Fis, because population genetics theory predicts that clonal reproduction should lead to negative Fis, at least when the sexual reproduction component occurs through random mating. Taking advantage of this prediction, Arnaud-Haond et al. [1] reanalysed genetic data from 165 populations of four partially clonal seagrass species sampled in a standardized way. They found positive correlations between Fis and both R and D* within each species, reflecting variation in the relative rates of sexual versus clonal reproduction among populations. Moreover, the differences of mean genotypic diversity and Fis values among species were also consistent with their known differences in reproductive strategies. Arnaud-Haond et al. [1] also conclude that previous works based on the interpretation of R generally lead to underestimate the prevalence of clonality in seagrasses. Arnaud-Haond et al. [1] confirm experimentally that Fis merits to be interpreted more properly than usually done when inferring rates of clonal reproduction from population genetics data of species reproducing both sexually and clonally. An advantage of Fis is that it is much less affected by sample size than R, and thus should be more reliable when comparing studies differing in sample design. Hence, when the rate of clonal reproduction becomes significant, we expect Fis < 0 and D* < 1. I expect these two indicators of clonality to be complementary because they rely on different consequences of clonality on pattern of genetic variation. Nevertheless, both measures can be affected by other factors. For example, null alleles, selfing or biparental inbreeding can pull Fis upwards, potentially eliminating the signature of clonal reproduction. Similarly, D* (and other measures of genotypic diversity) can be low because the polymorphism of the genetic markers used is too limited or because sexual reproduction often occurs through selfing, eventually resulting in highly similar homozygous genotypes. References [1] Arnaud-Haond, S., Stoeckel, S., and Bailleul, D. (2019). New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectations. ArXiv:1902.10240 [q-Bio], v6 peer-reviewed and recommended by Peer Community in Evolutionary Biology. Retrieved from http://arxiv.org/abs/1902.10240 | New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectations | Arnaud-Haond, Sophie, Stoeckel, Solenn, and Bailleul, Diane | <p>Seagrass meadows are among the most important coastal ecosystems, in terms of both spatial extent and ecosystem services, but they are also declining worldwide. Understanding the drivers of seagrass meadow dynamics is essential for designing so... | ![]() | Evolutionary Ecology, Population Genetics / Genomics, Reproduction and Sex | Olivier J Hardy | 2019-03-01 21:57:34 | View | |
06 Jul 2018
![]() Variation in competitive ability with mating system, ploidy and range expansion in four Capsella speciesXuyue Yang, Martin Lascoux and Sylvain Glémin https://doi.org/10.1101/214866When ecology meets genetics: Towards an integrated understanding of mating system transitions and diversityRecommended by Sylvain Billiard and Henrique Teotonio based on reviews by Yaniv Brandvain, Henrique Teotonio and 1 anonymous reviewerIn the 19th century, C. Darwin and F. Delpino engaged in a debate about the success of species with different reproduction modes, with the later favouring the idea that monoecious plants capable of autonomous selfing could spread more easily than dioecious plants (or self-incompatible hermaphroditic plants) if cross-pollination opportunities were limited [1]. Since then, debate has never faded about how natural selection is responsible for transitions to selfing and can explain the diversity and distribution of reproduction modes we observe in the natural world [2, 3]. References [1] Darwin, C. R. (1876). The effects of cross and self fertilization in the vegetable kingdom. London: Murray.
[2] Stebbins, G. L. (1957). Self fertilization and population variability in the higher plants. The American Naturalist, 91, 337-354. doi: 10.1086/281999 | Variation in competitive ability with mating system, ploidy and range expansion in four Capsella species | Xuyue Yang, Martin Lascoux and Sylvain Glémin | <p>Self-fertilization is often associated with ecological traits corresponding to the ruderal strategy in Grime’s Competitive-Stress-tolerant-Ruderal (CSR) classification of ecological strategies. Consequently, selfers are expected to be less comp... | ![]() | Evolutionary Ecology, Population Genetics / Genomics, Reproduction and Sex, Species interactions | Sylvain Billiard | 2017-11-06 19:54:52 | View | |
19 Dec 2016
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Geographic body size variation in the periodical cicadas Magicicada: implications for life cycle divergence and local adaptationKoyama T, Ito H, Kakishima S, Yoshimura J, Cooley JR, Simon C, Sota T https://doi.org/10.1111/jeb.12653Megacicadas show a temperature-mediated converse Bergmann cline in body size (larger in the warmer south) but no body size difference between 13- and 17-year species pairsRecommended by Wolf Blanckenhorn and Thomas FlattPeriodical cicadas are a very prominent insect group in North America that are known for their large size, good looks, and loud sounds. However, they are probably known best to evolutionary ecologists because of their long juvenile periods of 13 or 17 years (prime numbers!), which they spend in the ground. Multiple related species living in the same area are often coordinated in emerging as adults during the same year, thereby presumably swamping any predators specialized on eating them. Reference [1] Koyama T, Ito H, Kakishima S, Yoshimura J, Cooley JR, Simon C, Sota T. 2015. Geographic body size variation in the periodical cicadas Magicicada: implications for life cycle divergence and local adaptation. Journal of Evolutionary Biology 28:1270-1277. doi: 10.1111/jeb.12653 | Geographic body size variation in the periodical cicadas Magicicada: implications for life cycle divergence and local adaptation | Koyama T, Ito H, Kakishima S, Yoshimura J, Cooley JR, Simon C, Sota T | <p>Seven species in three species groups (Decim, Cassini and Decula) of periodical cicadas (*Magicicada*) occupy a wide latitudinal range in the eastern United States. To clarify how adult body size, a key trait affecting fitness, varies geographi... | ![]() | Adaptation, Evolutionary Ecology, Life History, Macroevolution, Phylogeography & Biogeography, Speciation | Wolf Blanckenhorn | 2016-12-19 10:39:22 | View | |
22 Sep 2020
![]() Evolutionary stasis of the pseudoautosomal boundary in strepsirrhine primatesRylan Shearn, Alison E. Wright, Sylvain Mousset, Corinne Régis, Simon Penel, Jean-François Lemaitre, Guillaume Douay, Brigitte Crouau-Roy, Emilie Lecompte, Gabriel A.B. Marais https://doi.org/10.1101/445072Studying genetic antagonisms as drivers of genome evolutionRecommended by Mathieu Joron based on reviews by Qi Zhou and 3 anonymous reviewersSex chromosomes are special in the genome because they are often highly differentiated over much of their lengths and marked by degenerative evolution of their gene content. Understanding why sex chromosomes differentiate requires deciphering the forces driving their recombination patterns. Suppression of recombination may be subject to selection, notably because of functional effects of locking together variation at different traits, as well as longer-term consequences of the inefficient purge of deleterious mutations, both of which may contribute to patterns of differentiation [1]. As an example, male and female functions may reveal intrinsic antagonisms over the optimal genotypes at certain genes or certain combinations of interacting genes. As a result, selection may favour the recruitment of rearrangements blocking recombination and maintaining the association of sex-antagonistic allele combinations with the sex-determining locus. References [1] Charlesworth D (2017) Evolution of recombination rates between sex chromosomes. Philosophical Transactions of the Royal Society B: Biological Sciences, 372, 20160456. https://doi.org/10.1098/rstb.2016.0456 | Evolutionary stasis of the pseudoautosomal boundary in strepsirrhine primates | Rylan Shearn, Alison E. Wright, Sylvain Mousset, Corinne Régis, Simon Penel, Jean-François Lemaitre, Guillaume Douay, Brigitte Crouau-Roy, Emilie Lecompte, Gabriel A.B. Marais | <p>Sex chromosomes are typically comprised of a non-recombining region and a recombining pseudoautosomal region. Accurately quantifying the relative size of these regions is critical for sex chromosome biology both from a functional (i.e. number o... | ![]() | Bioinformatics & Computational Biology, Genome Evolution, Molecular Evolution, Reproduction and Sex, Sexual Selection | Mathieu Joron | 2019-02-04 15:16:32 | View | |
24 Jan 2017
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Birth of a W sex chromosome by horizontal transfer of Wolbachia bacterial symbiont genomeSébastien Leclercq, Julien Thézé, Mohamed Amine Chebbi, Isabelle Giraud, Bouziane Moumen, Lise Ernenwein, Pierre Grève, Clément Gilbert, and Richard Cordaux https://doi.org/10.1073/pnas.1608979113A newly evolved W(olbachia) sex chromosome in pillbug!Recommended by Gabriel Marais and Sylvain CharlatIn some taxa such as fish and arthropods, closely related species can have different mechanisms of sex determination and in particular different sex chromosomes, which implies that new sex chromosomes are constantly evolving [1]. Several models have been developed to explain this pattern but empirical data are lacking and the causes of the fast sex chromosome turn over remain mysterious [2-4]. Leclerq et al. [5] in a paper that just came out in PNAS have focused on one possible explanation: Wolbachia. This widespread intracellular symbiont of arthropods can manipulate its host reproduction in a number of ways, often by biasing the allocation of resources toward females, the transmitting sex. Perhaps the most spectacular example is seen in pillbugs, where Wolbachia commonly turns infected males into females, thus doubling its effective transmission to grandchildren. Extensive investigations on this phenomenon were initiated 30 years ago in the host species Armadillidium vulgare. The recent paper by Leclerq et al. beautifully validates an hypothesis formulated in these pioneer studies [6], namely, that a nuclear insertion of the Wolbachia genome caused the emergence of new female determining chromosome, that is, a new sex chromosome. Many populations of A. vulgare are infected by the feminising Wolbachia strain wVulC, where the spread of the bacterium has also induced the loss of the ancestral female determining W chromosome (because feminized ZZ individuals produce females without transmitting any W). In these populations, all individuals carry two Z chromosomes, so that the bacterium is effectively the new sex-determining factor: specimens that received Wolbachia from their mother become females, while the occasional loss of Wolbachia from mothers to eggs allows the production of males. Intriguingly, studies from natural populations also report that some females are devoid both of Wolbachia and the ancestral W chromosome, suggesting the existence of new female determining nuclear factor, the hypothetical “f element”. Leclerq et al. [5] found the f element and decrypted its origin. By sequencing the genome of a strain carrying the putative f element, they found that a nearly complete wVulC genome got inserted in the nuclear genome and that the chromosome carrying the insertion has effectively become a new W chromosome. The insertion is indeed found only in females, PCRs and pedigree analysis tell. Although the Wolbachia-derived gene(s) that became sex-determining gene(s) remain to be identified among many possible candidates, the genomic and genetic evidence are clear that this Wolbachia insertion is determining sex in this pillbug strain. Leclerq et al. [5] also found that although this insertion is quite recent, many structural changes (rearrangements, duplications) have occurred compared to the wVulC genome, which study will probably help understand which bacterial gene(s) have retained a function in the nucleus of the pillbug. Also, in the future, it will be interesting to understand how and why exactly the nuclear inserted Wolbachia rose in frequency in the pillbug population and how the cytoplasmic Wolbachia was lost, and to tease apart the roles of selection and drift in this event. We highly recommend this paper, which provides clear evidence that Wolbachia has caused sex chromosome turn over in one species, opening the conjecture that it might have done so in many others. References [1] Bachtrog D, Mank JE, Peichel CL, Kirkpatrick M, Otto SP, Ashman TL, Hahn MW, Kitano J, Mayrose I, Ming R, Perrin N, Ross L, Valenzuela N, Vamosi JC. 2014. Tree of Sex Consortium. Sex determination: why so many ways of doing it? PLoS Biology 12: e1001899. doi: 10.1371/journal.pbio.1001899 [2] van Doorn GS, Kirkpatrick M. 2007. Turnover of sex chromosomes induced by sexual conflict. Nature 449: 909-912. doi: 10.1038/nature06178 [3] Cordaux R, Bouchon D, Grève P. 2011. The impact of endosymbionts on the evolution of host sex-determination mechanisms. Trends in Genetics 27: 332-341. doi: 10.1016/j.tig.2011.05.002 [4] Blaser O, Neuenschwander S, Perrin N. 2014. Sex-chromosome turnovers: the hot-potato model. American Naturalist 183: 140-146. doi: 10.1086/674026 [5] Leclercq S, Thézé J, Chebbi MA, Giraud I, Moumen B, Ernenwein L, Grève P, Gilbert C, Cordaux R. 2016. Birth of a W sex chromosome by horizontal transfer of Wolbachia bacterial symbiont genome. Proceeding of the National Academy of Science USA 113: 15036-15041. doi: 10.1073/pnas.1608979113 [6] Legrand JJ, Juchault P. 1984. Nouvelles données sur le déterminisme génétique et épigénétique de la monogénie chez le crustacé isopode terrestre Armadillidium vulgare Latr. Génétique Sélection Evolution 16: 57–84. doi: 10.1186/1297-9686-16-1-57 | Birth of a W sex chromosome by horizontal transfer of Wolbachia bacterial symbiont genome | Sébastien Leclercq, Julien Thézé, Mohamed Amine Chebbi, Isabelle Giraud, Bouziane Moumen, Lise Ernenwein, Pierre Grève, Clément Gilbert, and Richard Cordaux | <p>Sex determination is an evolutionarily ancient, key developmental pathway governing sexual differentiation in animals. Sex determination systems are remarkably variable between species or groups of species, however, and the evolutionary forces ... | ![]() | Bioinformatics & Computational Biology, Genome Evolution, Molecular Evolution, Reproduction and Sex, Species interactions | Gabriel Marais | 2017-01-13 15:15:51 | View | |
03 Jan 2025
![]() Sex-biased gene expression across tissues reveals unexpected differentiation in the gills of the threespine sticklebackFlorent Sylvestre, Nadia Aubin-Horth, Louis Bernatchez https://doi.org/10.1101/2024.06.09.597944Sex-biased gene expression in fish – a milestoneRecommended by Nicolas GaltierThere is a heavy body of literature on sex-biased gene expression, which can easily be tricky. One reason is that expression data are multi-dimensional, notoriously noisy, and highly sensitive to experimental conditions. Achieving reproducibility is, therefore, a challenge, especially in non-model organisms. Another reason is that the evolutionary forces shaping gene expression variation are complex, involving processes such as intra- and inter-locus conflicts between sexes, sex-chromosome evolution and degeneration, dosage compensation, cis vs. trans regulation, dominance, linkage, drift, etc... Not surprisingly, the field is rich in discordant studies, and a wide variety of situations have been described. The three-spined stickleback is a good illustration. This widely-studied fish displays conspicuous sexual dimorphisms, both morphological and behavioural. Yet, the existing literature regarding which genes and tissues are involved is remarkably unclear due to the lack of a comprehensive data set. Sylvestre et al. (1) here fix this issue. They sampled 40 wild-caught individuals in each of the two sexes and performed high-throughput sequencing of the transcriptome in three somatic tissues, dissected and preserved in the exact same conditions. This is an impressive effort, well above current standards. Data analysis delivered a series of neat results: gene expression in the liver is particularly sex-biased; the brain, in contrast, is remarkably little sex-differentiated despite the presence of courtship and paternal care in this species; gills show significantly sex-biased gene expression, which had been unnoticed previously despite the importance of this organ in fish ecotoxicology; the relatively young sex-chromosomes, finally, do not seem to experience dosage compensation, and are therefore enriched in sex-biased genes. Some of these results are consistent with previous studies in other fish species (2), here confirmed or demonstrated with a high degree of certainty. Others are new and worth considering in future studies of stickleback ecology and reproduction. We simply need more studies of this sort: well-conducted and clear-cut, recalling the career of its last author. References (1) Florent Sylvestre, Nadia Aubin-Horth, Louis Bernatchez (2024) Sex-biased gene expression across tissues reveals unexpected differentiation in the gills of the threespine stickleback. bioRxiv, ver.2 peer-reviewed and recommended by PCI Evol Biol https://doi.org/10.1101/2024.06.09.597944 (2) Iulia Darolti I, Judith E. Mank (2023). Sex-biased gene expression at single-cell resolution: cause and consequence of sexual dimorphism. Evolution Letters 7(3):148-156. https://doi.org/10.1093/evlett/qrad013
| Sex-biased gene expression across tissues reveals unexpected differentiation in the gills of the threespine stickleback | Florent Sylvestre, Nadia Aubin-Horth, Louis Bernatchez | <p>Sexual dimorphism can evolve through sex-specific regulation of the same gene set. However, sex chromosomes can also facilitate this by directly linking gene expression to sex. Moreover, differences in gene content between heteromorphic sex chr... | ![]() | Expression Studies, Genetic conflicts, Genome Evolution, Molecular Evolution, Reproduction and Sex | Nicolas Galtier | 2024-06-11 18:57:06 | View | |
31 Oct 2022
![]() Genotypic sex shapes maternal care in the African Pygmy mouse, Mus minutoidesLouise D Heitzmann, Marie Challe, Julie Perez, Laia Castell, Evelyne Galibert, Agnes Martin, Emmanuel Valjent, Frederic Veyrunes https://doi.org/10.1101/2022.04.05.487174Effect of sex chromosomes on mammalian behaviour: a case study in pygmy miceRecommended by Gabriel Marais and Trine BildeIn mammals, it is well documented that sexual dimorphism and in particular sex differences in behaviour are fine-tuned by gonadal hormonal profiles. For example, in lemurs, where female social dominance is common, the level of testosterone in females is unusually high compared to that of other primate females (Petty and Drea 2015). Recent studies however suggest that gonadal hormones might not be the only biological factor involved in establishing sexual dimorphism, sex chromosomes might also play a role. The four core genotype (FCG) model and other similar systems allowing to decouple phenotypic and genotypic sex in mice have provided very convincing evidence of such a role (Gatewood et al. 2006; Arnold and Chen 2009; Arnold 2020a, 2020b). This however is a new field of research and the role of sex chromosomes in establishing sexually dimorphic behaviours has not been studied very much yet. Moreover, the FCG model has some limits. Sry, the male determinant gene on the mammalian Y chromosome might be involved in some sex differences in neuroanatomy, but Sry is always associated with maleness in the FCG model, and this potential role of Sry cannot be studied using this system. Heitzmann et al. have used a natural system to approach these questions. They worked on the African Pygmy mouse, Mus minutoides, in which a modified X chromosome called X* can feminize X*Y individuals, which offers a great opportunity for elegant experiments on the effects of sex chromosomes versus hormones on behaviour. They focused on maternal care and compared pup retrieval, nest quality, and mother-pup interactions in XX, X*X and X*Y females. They found that X*Y females are significantly better at retrieving pups than other females. They are also much more aggressive towards the fathers than other females, preventing paternal care. They build nests of poorer quality but have similar interactions with pups compared to other females. Importantly, no significant differences were found between XX and X*X females for these traits, which points to an effect of the Y chromosome in explaining the differences between X*Y and other females (XX, X*X). Also, another work from the same group showed similar gonadal hormone levels in all the females (Veyrunes et al. 2022). Heitzmann et al. made a number of predictions based on what is known about the neuroanatomy of rodents which might explain such behaviours. Using cytology, they looked for differences in neuron numbers in the hypothalamus involved in the oxytocin, vasopressin and dopaminergic pathways in XX, X*X and X*Y females, but could not find any significant effects. However, this part of their work relied on very small sample sizes and they used virgin females instead of mothers for ethical reasons, which greatly limited the analysis. Interestingly, X*Y females have a higher reproductive performance than XX and X*X ones, which compensate for the cost of producing unviable YY embryos and certainly contribute to maintaining a high frequency of X* in many African pygmy mice populations (Saunders et al. 2014, 2022). X*Y females are probably solitary mothers contrary to other females, and Heitzmann et al. have uncovered a divergent female strategy in this species. Their work points out the role of sex chromosomes in establishing sex differences in behaviours. References Arnold AP (2020a) Sexual differentiation of brain and other tissues: Five questions for the next 50 years. Hormones and Behavior, 120, 104691. https://doi.org/10.1016/j.yhbeh.2020.104691 Arnold AP (2020b) Four Core Genotypes and XY* mouse models: Update on impact on SABV research. Neuroscience & Biobehavioral Reviews, 119, 1–8. https://doi.org/10.1016/j.neubiorev.2020.09.021 Arnold AP, Chen X (2009) What does the “four core genotypes” mouse model tell us about sex differences in the brain and other tissues? Frontiers in Neuroendocrinology, 30, 1–9. https://doi.org/10.1016/j.yfrne.2008.11.001 Gatewood JD, Wills A, Shetty S, Xu J, Arnold AP, Burgoyne PS, Rissman EF (2006) Sex Chromosome Complement and Gonadal Sex Influence Aggressive and Parental Behaviors in Mice. Journal of Neuroscience, 26, 2335–2342. https://doi.org/10.1523/JNEUROSCI.3743-05.2006 Heitzmann LD, Challe M, Perez J, Castell L, Galibert E, Martin A, Valjent E, Veyrunes F (2022) Genotypic sex shapes maternal care in the African Pygmy mouse, Mus minutoides. bioRxiv, 2022.04.05.487174, ver. 4 peer-reviewed and recommended by Peer Community in Evolutionary Biology. https://doi.org/10.1101/2022.04.05.487174 Petty JMA, Drea CM (2015) Female rule in lemurs is ancestral and hormonally mediated. Scientific Reports, 5, 9631. https://doi.org/10.1038/srep09631 Saunders PA, Perez J, Rahmoun M, Ronce O, Crochet P-A, Veyrunes F (2014) Xy Females Do Better Than the Xx in the African Pygmy Mouse, Mus Minutoides. Evolution, 68, 2119–2127. https://doi.org/10.1111/evo.12387 Saunders PA, Perez J, Ronce O, Veyrunes F (2022) Multiple sex chromosome drivers in a mammal with three sex chromosomes. Current Biology, 32, 2001-2010.e3. https://doi.org/10.1016/j.cub.2022.03.029 Veyrunes F, Perez J, Heitzmann L, Saunders PA, Givalois L (2022) Separating the effects of sex hormones and sex chromosomes on behavior in the African pygmy mouse Mus minutoides, a species with XY female sex reversal. bioRxiv, 2022.07.11.499546. https://doi.org/10.1101/2022.07.11.499546 | Genotypic sex shapes maternal care in the African Pygmy mouse, Mus minutoides | Louise D Heitzmann, Marie Challe, Julie Perez, Laia Castell, Evelyne Galibert, Agnes Martin, Emmanuel Valjent, Frederic Veyrunes | <p>Sexually dimorphic behaviours, such as parental care, have long been thought to be driven mostly, if not exclusively, by gonadal hormones. In the past two decades, a few studies have challenged this view, highlighting the direct influence of th... | ![]() | Behavior & Social Evolution, Evolutionary Ecology, Reproduction and Sex | Gabriel Marais | 2022-04-08 20:09:58 | View | |
18 Nov 2020
![]() A demogenetic agent based model for the evolution of traits and genome architecture under sexual selectionLouise Chevalier, François de Coligny, Jacques Labonne https://doi.org/10.1101/2020.04.01.014514Sexual selection goes dynamicRecommended by Michael D Greenfield based on reviews by Frédéric Guillaume and 1 anonymous reviewer150 years after Darwin published ‘Descent of man and selection in relation to sex’ (Darwin, 1871), the evolutionary mechanism that he laid out in his treatise continues to fascinate us. Sexual selection is responsible for some of the most spectacular traits among animals, and plants, and it appeals to our interest in all things reproductive and sexual (Bell, 1982). In addition, sexual selection poses some of the more intractable problems in evolutionary biology: Its realm encompasses traits that are subject to markedly different selection pressures, particularly when distinct, yet associated, traits tend to be associated with males, e.g. courtship signals, and with females, e.g. preferences (cf. Ah-King & Ahnesjo, 2013). While separate, such traits cannot evolve independently of each other (Arnqvist & Rowe, 2005), and complex feedback loops and correlations between them are predicted (Greenfield et al., 2014). Traditionally, sexual selection has been modelled under simplifying assumptions, and quantitative genetic approaches that avoided evolutionary dynamics have prevailed. New computing methods may be able to free the field from these constraints, and a trio of theoreticians (Chevalier, De Coligny & Labonne 2020) describe here a novel application of a ‘demo-genetic agent (or individual) based model’, a mouthful hereafter termed DG-ABM, for arriving at a holistic picture of the sexual selection trajectory. The application is built on the premise that traits, e.g. courtship, preference, gamete investment, competitiveness for mates, can influence the genetic architecture, e.g. correlations, of those traits. In turn, the genetic architecture can influence the expression and evolvability of the traits. Much of this influence occurs via demographic features, i.e. social environment, generated by behavioral interactions during sexual advertisement, courtship, mate guarding, parental care, post-mating dispersal, etc. References Ah-King, M. and Ahnesjo, I. 2013. The ‘sex role’ concept: An overview and evaluation Evolutionary Biology, 40, 461-470. doi: https://doi.org/10.1007/s11692-013-9226-7 | A demogenetic agent based model for the evolution of traits and genome architecture under sexual selection | Louise Chevalier, François de Coligny, Jacques Labonne | <p>Sexual selection has long been known to favor the evolution of mating behaviors such as mate preference and competitiveness, and to affect their genetic architecture, for instance by favoring genetic correlation between some traits. Reciprocall... | ![]() | Adaptation, Behavior & Social Evolution, Evolutionary Dynamics, Evolutionary Theory, Life History, Population Genetics / Genomics, Sexual Selection | Michael D Greenfield | 2020-04-02 14:44:25 | View | |
04 Mar 2021
![]() Simulation of bacterial populations with SLiMJean Cury, Benjamin C. Haller, Guillaume Achaz, and Flora Jay https://doi.org/10.1101/2020.09.28.316869Simulating bacterial evolution forward-in-timeRecommended by Frederic Bertels based on reviews by 3 anonymous reviewersJean Cury and colleagues (2021) have developed a protocol to simulate bacterial evolution in SLiM. In contrast to existing methods that depend on the coalescent, SLiM simulates evolution forward in time. SLiM has, up to now, mostly been used to simulate the evolution of eukaryotes (Haller and Messer 2019), but has been adapted here to simulate evolution in bacteria. Forward-in-time simulations are usually computationally very costly. To circumvent this issue, bacterial population sizes are scaled down. One would now expect results to become inaccurate, however, Cury et al. show that scaled-down forwards simulations provide very accurate results (similar to those provided by coalescent simulators) that are consistent with theoretical expectations. Simulations were analyzed and compared to existing methods in simple and slightly more complex scenarios where recombination affects evolution. In all scenarios, simulation results from coalescent methods (fastSimBac (De Maio and Wilson 2017), ms (Hudson 2002)) and scaled-down forwards simulations were very similar, which is very good news indeed. A biologist not aware of the complexities of forwards, backwards simulations and the coalescent, might now naïvely ask why another simulation method is needed if existing methods perform just as well. To address this question the manuscript closes with a very neat example of what exactly is possible with forwards simulations that cannot be achieved using existing methods. The situation modeled is the growth and evolution of a set of 50 bacteria that are randomly distributed on a petri dish. One side of the petri dish is covered in an antibiotic the other is antibiotic-free. Over time, the bacteria grow and acquire antibiotic resistance mutations until the entire artificial petri dish is covered with a bacterial lawn. This simulation demonstrates that it is possible to simulate extremely complex (e.g. real world) scenarios to, for example, assess whether certain phenomena are expected with our current understanding of bacterial evolution, or whether there are additional forces that need to be taken into account. Hence, forwards simulators could significantly help us to understand what current models can and cannot explain in evolutionary biology.
References Cury J, Haller BC, Achaz G, Jay F (2021) Simulation of bacterial populations with SLiM. bioRxiv, 2020.09.28.316869, version 5 peer-reviewed and recommended by Peer community in Evolutionary Biology. https://doi.org/10.1101/2020.09.28.316869 De Maio N, Wilson DJ (2017) The Bacterial Sequential Markov Coalescent. Genetics, 206, 333–343. https://doi.org/10.1534/genetics.116.198796 Haller BC, Messer PW (2019) SLiM 3: Forward Genetic Simulations Beyond the Wright–Fisher Model. Molecular Biology and Evolution, 36, 632–637. https://doi.org/10.1093/molbev/msy228 Hudson RR (2002) Generating samples under a Wright–Fisher neutral model of genetic variation. Bioinformatics, 18, 337–338. https://doi.org/10.1093/bioinformatics/18.2.337 | Simulation of bacterial populations with SLiM | Jean Cury, Benjamin C. Haller, Guillaume Achaz, and Flora Jay | <p>Simulation of genomic data is a key tool in population genetics, yet, to date, there is no forward-in-time simulator of bacterial populations that is both computationally efficient and adaptable to a wide range of scenarios. Here we demonstrate... | ![]() | Bioinformatics & Computational Biology, Population Genetics / Genomics | Frederic Bertels | 2020-10-02 19:03:42 | View |
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