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Protein modularity in phages is extensive and associated with functions linked to core replication machinery and host tropism determinants

Biological modularity enhances evolutionary adaptability by allowing rearrangement of functional components. One striking example are bacterial viruses (phages). They exhibit extensive genomic modularity by being built of independent functional modules that evolve separately and combine in various ways, making them astoundingly diverse. While multiple studies have investigated genomic modularity in phages, less attention has been given to protein modularity--proteins having distinct building blocks or domains that can evolve and recombine, enhancing functional and genetic diversity. To better understand the impact of protein modularity on viral evolution, we quantified it by detecting instances of domain mosaicism, defined as a homologous fragment sharing between two otherwise unrelated proteins. We used highly sensitive homology detection to quantify domain mosaicism between pairs of 133,574 representative phage proteins and to understand its relationship with functional diversity in phage genomes. We found that diverse functional classes often shared homologous domains. This phenomenon was often linked to protein modularity, particularly in receptor-binding proteins, endolysins and DNA polymerases. We also identified multiple instances of recent diversification via exchange and gain/loss of domains in receptor-binding proteins, neck passage structures, endolysins and some members of the core replication machinery. Diversification via protein fragment exchange often transcended distant taxonomic and ecological borders. We argue that the ongoing diversification via shuffling of protein domains associated with those functions is reflective of co-evolutionary arms race and the resulting diversifying selection to overcome multiple mechanisms of bacterial resistance against phages.

evolutionary biology↗

Genetic drift and purifying selection shape within-host influenza A virus populations during natural swine infections

Patterns of within-host influenza A virus (IAV) diversity and evolution have been described in natural human infections, but these patterns remain poorly characterized in non-human hosts. Elucidating these dynamics is important to better understand IAV biology and the evolutionary processes that govern spillover into humans. Here, we sampled an IAV outbreak in pigs during a week-long county fair to characterize viral diversity and evolution in this important reservoir host. Nasal wipes were collected on a daily basis from all pigs present at the fair, yielding up to 421 samples per day. Subtyping of PCR-positive samples revealed the co-circulation of H1N1 and H3N2 subtype IAVs. PCR-positive samples with robust Ct values were deep-sequenced, yielding 506 sequenced samples from a total of 253 pigs. Based on higher-depth re-sequenced data from a subset of these initially sequenced samples (260 samples from 168 pigs), we characterized patterns of within-host IAV genetic diversity and evolution. We find that IAV genetic diversity in single-subtype infected pigs is low, with the majority of intra-host single nucleotide variants (iSNVs) present at frequencies of <10%. The ratio of the number of nonsynonymous to the number of synonymous iSNVs is significantly lower than under the neutral expectation, indicating that purifying selection shapes patterns of within-host viral diversity in swine. The dynamic turnover of iSNVs and their pronounced frequency changes further indicate that genetic drift also plays an important role in shaping IAV populations within pigs. Taken together, our results highlight similarities in patterns of IAV genetic diversity and evolution between humans and swine, including the role of stochastic processes in shaping within-host IAV dynamics.

evolutionary biology↗

Evolution of the gene regulatory network of body axis by enhancer hijacking in amphioxus

A central goal of evolutionary developmental biology is to decipher the evolutionary pattern of gene regulatory networks (GRNs) that control morphogenesis during embryonic development, and the underlying molecular mechanism of the GRNs evolution. The Nodal signaling that governs the body axes of deuterostomes exhibits a conserved GRN orchestrated principally by Nodal, Gdf1/3 and Lefty. Despite that the GRN retains a conserved function in deuterostomes, the expression patterns of Gdf1/3 and Nodal are derived in cephalochordate amphioxus, implying a specific rewiring of the GRN in this lineage. Here we examined the regulatory mechanism and evolution of this GRN in amphioxus by functional genetic manipulations. We found that while the amphioxus Gdf1/3 orthologue shows nearly no expression during embryogenesis, its duplicate Gdf1/3-like linking to Lefty is zygotically expressed in a similar pattern as Lefty. Mutant and transgenic analyses revealed that Gdf1/3 is no longer crucial for amphioxus axial development. Instead, Gdf1/3-like assumes this responsibility, likely through hijacking Lefty enhancers. We also showed that amphioxus Nodal has become an indispensable maternal factor to compensate for the loss of maternal Gdf1/3 expression. We therefore demonstrated a case that the evolution of an ancestral GRN could be triggered by enhancer hijacking events. This pivotal event has allowed the emergence of a new GRN in the extant amphioxus, presumably evolving through a stepwise process. The co-expression of Gdf1/3-like and Lefty achieved by shared regulatory region may have provided developmental robustness during body axis formation in extant amphioxus, which provides a selection-based hypothesis for the phenomena called developmental system drift.

evolutionary biology↗

Empirical lognormality of biological variation: implications for the 'zero-force evolutionary law'

The zero-force evolutionary law (ZFEL) of McShea et al. states that independently evolving entities, with no forces or constraints acting on them, will tend to accumulate differences and therefore diverge from each other. McShea et al. quantified the law by assuming normality on an additive arithmetic scale and reflecting negative differences as absolute values, systematically augmenting perceived divergence. The appropriate analytical framework is not additive but proportional, where logarithmic transformation is required to achieve normality. Logarithms and logarithmic differences can be negative but the proportions they represent cannot be negative. Reformulation of ZFEL in a proportional or geometric reference frame indicates that when entities evolve randomly and independently, differences smaller than any initial difference are balanced by differences larger than the initial difference. Total variance increases with each step of a random walk, but there is no statistical expectation of divergence between random-walk lineages.

evolutionary biology↗

A general approach for analysis of physiologically structured population models: the R package 'PSPManalysis'

SummaryHow environmental conditions affect the life history of individual organisms and how these effects translate into dynamics of population and communities on ecological and evolutionary time scales is a central question in many eco-evolutionary studies.Physiologically structured population models (PSPMs) offer a theoretical approach to address such questions as they are built upon a function-based model of the life history, which explicitly describes how life history depends on individual traits as well as on environmental factors. PSPMs furthermore explicitly account for population feedback on these environmental factors, which translates into density-dependent effects on the life history. PSPMs can thus capture life histories in quite some detail but lead to population-level formulations in terms of partial differential equations that are generally hard to analyse.Here I present a general methodology and a R software package for computing how the ecological steady states of PSPMs depend on model parameters and to detect bifurcation points in the computed curves where dynamics change drastically. The package makes specifying the population model unnecessary and only requires a relatively straightforward implementation of the life history functions as input. It furthermore allows for analysing the evolutionary dynamics and evolutionary singular states of the PSPMs based on Adaptive Dynamics theory.Given the central role of the individual life history in many studies, there is substantial scope for using the presented methodology in fields as diverse as ecology, ecotoxicology, conservation biology and evolutionary biology, where it has already been applied to problems like the evolution of cannibalism, niche shifts and metamorphosis.Competing Interest StatementThe authors have declared no competing interest.View Full Text

ecology↗

Evolution in salmon life-history induced by direct and indirect effects of fishing

Understanding the drivers of evolution is a fundamental aim in biology. However, identifying the evolutionary impacts of human activities, both direct and indirect, is challenging because of lack of temporal data and limited knowledge of the genetic basis of most traits1. Atlantic salmon is a species exposed to intense anthropogenic pressures during its anadromous life cycle2. Previous research has shown that salmon age at maturity has evolved towards earlier maturation over the last 40 years, with an 18% decrease3 in the allele associated with late maturation at the large-effect vgll3 locus4; but the drivers of this change remain unknown. Here, we link genetic and phenotypic changes in a large Atlantic salmon population with salmon prey species biomass in the Barents Sea, temperature, and fishing effort in order to identify drivers of age at maturity evolution. We show that age at maturity evolution is associated with two different types of fisheries induced evolution acting in opposing directions: an indirect effect linked with commercial harvest of a salmon prey species (capelin) at sea (selection against late maturation), and a direct effect due to temporal changes in net fishing pressure in the river (surprisingly, selection against early maturation). Although the potential for direct and indirect evolutionary effects of fishing have been acknowledged, empirical evidence for induced changes at the genetic level has been lacking5. As capelin are primarily harvested to produce fish meal and oil for aquaculture6, we hereby identify an indirect path by which Atlantic salmon aquaculture may negatively affect wild populations.

evolutionary biology↗

Evolution of m6A related genes in insects and function of METTL3 in embryonic development of silkworm.

N6-methyladenosine (m6A), the most prevalent modification in eukaryotic RNAs, plays a key role in biological processes. However, the evolutionary relationships and function of m6A related genes in insects are still largely unknown. Here, we analyzed the phylogenetics of m6A related genes among 207 insects and find that m6A related genes are evolutionarily conserved in insects. We apply the lepidopteran model insect Bombyx. mori as a study system. Subcellular localization experiments in BmN cells confirmed that YTHDF3 localizes in the cytoplasm, METTL3, METTL14 and YTHDC localize in the nucleus, while FL2D localizes in both nucleus and cytoplasm. We also detected expression pattern of m6A related genes during the embryonic development of B. mori and found that m6A related genes expression pattern is temporally specific. To elucidate the function of METTL3 during embryonic stage, RNA sequencing was performed to measure differential expressions of mRNA from silkworm eggs after METTL3 knockdown, and METTL3-overexpressing BmN cells. The global transcriptional pattern showed that METTL3 knockdown affected multiple cellular processes, including oxidoreductase activity, transcription regulator activity, cation binding and fundamental many metabolism processes, such as carbon metabolism, purine metabolism, biosynthesis of amino acids, and the citrate cycle, were affected. In addition, METTL3 knockdown significantly affected Wnt and Toll/Imd pathways in embryonic stage. The results suggest that METTL3 plays an important role during the embryonic development of B. mori. This study deepens our understanding of the function of m6A related genes in insects.

evolutionary biology↗

The necessary emergence of structural complexity in self-replicating RNA populations.

The RNA world hypothesis relies on the ability of ribonucleic acids to spontaneously acquire complex structures capable of supporting essential biological functions. Multiple sophisticated evolutionary models have been proposed for their emergence, but they often assume specific conditions. In this work we explore a simple and parsimonious scenario describing the emergence of complex molecular structures at the early stages of life. We show that at specific GC-content regimes, an undirected replication model is sufficient to explain the apparition of multi-branched RNA secondary structures - a structural signature of many essential ribozymes. We ran a large scale computational study to map energetically stable structures on complete mutational networks of 50-nucleotide-long RNA sequences. Our results reveal that the sequence landscape with stable structures is enriched with multi-branched structures at a length scale coinciding with the appearance of complex structures in RNA databases. A random replication mechanism preserving a 50% GC-content may suffice to explain a natural enrichment of stable complex structures in populations of functional RNAs. By contrast, an evolutionary mechanism eliciting the most stable folds at each generation appears to help reaching multi-branched structures at highest GC content.

evolutionary biology↗

Neglecting model selection alters phylogenetic inference

Molecular phylogenetics is a standard tool in modern biology that informs the evolutionary history of genes, organisms, and traits, and as such is important in a wide range of disciplines from medicine to palaeontology. Maximum likelihood phylogenetic reconstruction involves assumptions about the evolutionary processes that underlie the dataset to be analysed. These assumptions must be specified in forms of an evolutionary model, and a number of criteria may be used to identify the best-fitting from a plethora of available models of DNA evolution. Using many empirical and simulated nucleotide sequence alignments, Abadi et al.1 have recently found that phylogenetic inferences using best models identified by six different model selection criteria are, on average, very similar to each other. They further claimed that using the model GTR+I+G4 without prior model-fitting results in similarly accurate phylogenetic estimates, and consequently that skipping model selection entirely has no negative impact on many phylogenetic applications. Focussing on this claim, I here revisit and re-analyse some of the data put forward by Abadi et al. I argue that while the presented analyses are sound, the results are misrepresented and in fact - in line with previous work - demonstrate that model selection consistently leads to different phylogenetic estimates compared with using fixed models.

evolutionary biology↗

Avoidance Of Rejuvenation: A Stress Test For Evolutionary Theories Of Aging

The biological feasibility of human rejuvenation remains a subject of intense debate, yet answering this question is critical for guiding research strategies. Should aging research focus on reversing aging in older individuals, or on pausing its progression at earlier ages? We address this question with evolutionary biology. Classic evolutionary theories of aging-- damage accumulation, antagonistic pleiotropy, and the disposable soma--consider aging as a detrimental byproduct of evolution. From this perspective, rejuvenation should confer strong fitness advantages and therefore be expected to evolve in species experiencing substantial aging in the wild. Its rarity in nature should thus be interpreted as evidence of its mechanistic implausibility. Yet, rejuvenation does occur in a few species, and, paradoxically, it is typically induced by stress but not used under optimal conditions. Using mathematical modeling of lifespan plasticity in eusocial insects, we show that this pattern cannot be reconciled with classic theories of aging, revealing an internal contradiction between these theories and the observed avoidance of rejuvenation. By contrast, the pathogen control hypothesis--which interprets aging as an adaptive, programmed process--offers a consistent evolutionary framework for understanding and potentially achieving rejuvenation.

evolutionary biology↗

Evolutionary diversification of the biological screw joint in weevils

Complex biomechanical innovations are often treated as discrete evolutionary breakthroughs, yet their diversification within large radiations remains poorly understood. Beetle leg joints provide a striking example: some weevils possess screw-like coxa-trochanteral articulations in which rotation and axial displacement are mechanically coupled, resembling engineered screw-and-nut mechanisms. Whether these joints represent isolated mechanical extremes, discrete adaptive types or part of a broader continuum of phenotypic variation has remained unknown. Here we combine synchrotron X-ray microtomography, landmark-free atlas-based morphometrics, quantitative functional morphology and phylogenetic comparative analyses to examine the mesocoxa-trochanteral joint in 68 specimens representing seven sampled family-level groups across early-diverging and derived weevil lineages. We show that screw joint evolution combines continuous variation in trochanteral shape with a restricted set of mechanically plausible joint-character combinations, rather than forming sharply separated morphological classes. True screw-and-nut joints are not confined to a distinct region of morphospace, indicating that overall form and mechanical configuration are not necessarily coupled. The occurrence of this configuration in the early diverging Caridae shows that it is not restricted to more derived families. Three-dimensional helix fitting revealed a mosaic geometry, with winding angle showing the clearest relationship with overall shape and joint architecture, whereas axial pitch varied largely independently of shape, size and lineage. Together, these patterns show that screw joint components diversified with different degrees of evolutionary integration. These results recast the weevil screw joint from a singular biomechanical curiosity into a diversified evolutionary system. They suggest that complex functional structures can evolve through the gradual recombination and differential persistence of structurally constrained and evolutionary flexible components, rather than through a single shift from simple to fully specialized designs.

zoology↗

Universality and predictability in molecular quantitative genetics

Molecular traits, such as gene expression levels or protein binding affinities, are increasingly accessible to quantitative measurement by modern high-throughput techniques. Such traits measure molecular functions and, from an evolutionary point of view, are important as targets of natural selection. We review recent developments in evolutionary theory and experiments that are expected to become building blocks of a quantitative genetics of molecular traits. We focus on universal evolutionary characteristics: these are largely independent of a traits genetic basis, which is often at least partially unknown. We show that universal measurements can be used to infer selection on a quantitative trait, which determines its evolutionary mode of conservation or adaptation. Furthermore, universality is closely linked to predictability of trait evolution across lineages. We argue that universal trait statistics extends over a range of cellular scales and opens new avenues of quantitative evolutionary systems biology.

Evolutionary Biology↗

Developmental variability drives mouse molar evolution along an evolutionary line of least resistance

Developmental systems may preferentially produce certain types of variation and, thereby, bias phenotypic evolution. This is a central issue in evolutionary developmental biology, albeit somewhat understudied. Here we focus on the shape of the first upper molar which shows a clear, repeated tendency for anterior elongation at different scales from within mouse populations to between species of the Mus genus. In contrast, the lower molar displays more evolutionary stability. We compared upper and lower molar development of mouse strains representative of this fine variation (DUHi: elongated molars and FVB: short molars). Using a novel quantitative approach to examine small-scale developmental variation, we identified temporal, spatial and functional differences in tooth signaling centers between the two strains, likely due to different tuning of the activation-inhibition mechanisms ruling signaling center patterning. Based on the spatio-temporal dynamics of signaling centers and their lineage tracing, we show an intrinsic difference in the fate of signaling centers between lower and upper jaw of both strains. This can explain why variations in activation-inhibition parameters between strains are turned into anterior elongation in the upper molar only. Finally, although the \"elongated\" DUHi strain was inbred, first molar elongation was variable in adults, and we found high levels of intra-strain developmental variation in upper molar development. This is consistent with the inherent developmental instability of the upper molar system enabling the morphological variability of the tooth phenotype.\n\nIn conclusion, we have uncovered developmental properties that underlie the molars capacity for repeated phenotypic change, or said differently, that underlie a \"line of least resistance\". By focusing on the developmental basis of fine phenotypic variation, our study also challenges some common assumptions and practices in developmental and evolutionary developmental biology.

evolutionary biology↗

An ancient lineage of highly divergent parvoviruses infects both vertebrate and invertebrate hosts.

Chapparvoviruses are a highly divergent group of parvoviruses (family Parvoviridae) first identified in 2013. Interest in these poorly characterized viruses has been raised by recent studies indicating that they are the cause of chronic kidney disease that arises spontaneously in laboratory mice. In this study, we investigate the biological and evolutionary characteristics of chapparvoviruses via comparative analysis of genome sequence data. Our analysis, which incorporates sequences derived from endogenous viral elements (EVEs) as well as exogenous viruses, reveals that chapparvoviruses are an ancient lineage within the family Parvoviridae, clustering separately from members of both currently established parvoviral subfamilies. Consistent with this, they exhibit a number of characteristic genomic and structural features, i.e. a large number of putative auxiliary protein-encoding genes, capsid protein genes non-homologous to any hitherto parvoviral cap, as well as a putative capsid structure lacking the canonical fifth strand of the ABIDG sheet comprising the luminal side of the jelly roll. Our findings demonstrate that the chapparvovirus lineage infects an exceptionally broad range of host species, including both vertebrates and invertebrates. Furthermore, we observe that chapparvoviruses found in fish are more closely related to those from invertebrates than they are to those that infect amniote vertebrates. This suggests that transmission between distantly related host species may have occurred in the past. Our study provides the first integrated overview of the chapparvovirus group, and revises current views of parvovirus evolution\n\nAUTHOR SUMMARYChapparvoviruses are a recently identified group of viruses about which relatively little is known. However, recent studies have shown that these viruses cause disease in laboratory mice and are prevalent in the fecal virome of pigs and poultry, raising interest in their potential impact as pathogens, and utility as experimental tools. We examined the genomes of chapparvoviruses and endogenous viral elements ( fossilized virus sequences derived from ancestral viruses) using a variety of bioinformatics-based approaches. We show that the chapparvoviruses have an ancient origin and are evolutionarily distinct from all other related viruses. Accordingly, their genomes and virions exhibit a range of distinct characteristic features. We examine the distribution of these features in the light of chapparvovirus evolutionary history (which we can also infer from genomic data), revealing new insights into chapparvovirus biology.

evolutionary biology↗

The origin of animal multicellularity and cell differentiation

How animals evolved from their single-celled ancestors over 600 million years ago is poorly understood. Comparisons of genomes from animals and their closest relatives - choanoflagellates, filastereans and ichthyosporeans - have recently revealed the genomic landscape of animal origins. However, the cell and developmental biology of the first animals have been less well examined. Using principles from evolutionary cell biology, we reason that the last common ancestor of animals and choanoflagellates (the Urchoanozoan) used a collar complex - a flagellum surrounded by a microvillar collar - to capture bacterial prey. The origin of animal multicellularity likely occurred through the modification of pre-existing mechanisms for extracellular matrix synthesis and regulation of cytokinesis. The progenitors of animals likely developed clonally through serial division of flagellated cells, giving rise to sheets of cells that folded into spheres by a morphogenetic process comparable to that seen in modern choanoflagellate rosettes and calcareous sponge embryos. Finally, we infer that cell differentiation evolved in the animal stem-lineage by a combination of three mechanisms: division of labor from ancient plurifunctional cell types, conversion of temporally segregated phenotypes into spatially segregated cell types, and functional innovation.

evolutionary biology↗

Evolution of body size and wing shape trade-offs in arsenurine silkmoths

AO_SCPLOWBSTRACTC_SCPLOWOne of the key objectives in biological research is understanding how evolutionary processes have produced Earths biodiversity. These processes have led to a vast diversity of wing shapes in insects; an unanswered question especially pronounced in moths. As one of the major predators of nocturnal moths, bats are thought to have been involved in a long evolutionary arms race with their prey. In response, moths are thought to have evolved many counter strategies, such as diverse wing shapes and large body sizes. However, the tradeoffs between body size and wing shape are not well understood. Here we examined the evolution of wing shape in the wild silkmoth subfamily Arsenurinae (Saturniidae). By using phylogenomics and geometric morphometrics, we established the framework to evaluate potential evolutionary relationships between body size and wing shape. The phylogeny was inferred based on 781 loci from target capture data of 42 arsenurine species representing all 10 recognized genera. We found there are evolutionary trade-offs between body size, wing shape, and the interaction of fore- and hindwing shape. Namely, body size decreases with increasing hindwing length, but increases as forewing shape becomes more complex. Additionally, hindwing shape has a significant effect on forewing shape complexity. The complex wing shapes that make Arsenurinae, and silkmoths as a whole, so charismatic are likely driven by the strong forces of natural selection and genomic constraints. One other important outcome was discovering within our data one of the most vexing problems in phylogenetic inference - a region of a tree that possesses short branches and no "support" for relationships (i.e., a polytomy). These parts of the Tree of Life are often some of the most interesting from an evolutionary standpoint. To investigate this problem, we used reciprocal illumination to determine the most probable generic relationships within the Arsenurinae by inspecting differing phylogenetic inferences, alternative support values, quartets, and phylogenetic networks to reveal hidden phylogenetic signal.

evolutionary biology↗

Predicting evolution in experimental range expansions of an aquatic model system

Predicting range expansion dynamics is a challenge for both fundamental and applied research in conservation and global change biology. However, if ecological and evolutionary processes occur on the same time scale, predictions are challenging to make. Combining experimental evolution and mathematical modelling, we assessed the predictability of independent realisations of range expansions in a laboratory model system, the freshwater protozoan Paramecium caudatum. We followed ecological dynamics and evolutionary change in range core and front populations in the experiment. These settings were recreated in a predictive mathematical model, parametrized with dispersal and growth data of the of the 20 founder strains in the experiment. We find that short-term evolution was driven by selection for increased dispersal at the front and general selection for higher growth rates in all treatments. There was a good quantitative match of predicted and observed trait changes. Phenotypic divergence was mirrored by a complete genotypic divergence, indicating the highly repeatable fixation of strains that also were the most likely winners in our model. Long-term evolution in the experimental range front lines resulted in the emergence of a dispersal syndrome, namely a competition - colonisation trade-off. Altogether, both model and experiment highlight the importance of dispersal evolution as a driver of range expansions. Our study suggests that evolution at range fronts may follow predictable trajectories, at least for simple scenarios, and that predicting these dynamics may be possible from knowledge of few key parameters.

evolutionary biology↗

Feeding-structure morphogenesis in rhabditid and diplogastrid nematodes is not controlled by a conserved genetic module

Disentangling the evolution of the molecular processes and genetic networks that facilitate the emergence of morphological novelties is one of the main objectives in evolutionary developmental biology. Here, we investigated the evolutionary history of a gene regulatory network controlling the development of novel tooth-like feeding-structures in diplogastrid nematodes. Focusing on NHR-1 and NHR-40, the two transcription factors that regulate the morphogenesis of these feeding structures in Pristionchus pacificus, we sought to determine whether they have a similar function in out-group nematode Caenorhabditis elegans, which has typical "rhabditid" flaps instead of teeth. Contrary to our initial expectations, we found that they do not have a similar function. While both receptors are co-expressed in the tissues that produce the feeding structures in the two nematodes, genetic inactivation of either receptor had no impact on feeding-structure morphogenesis in C. elegans. Transcriptomic experiments revealed that NHR-1 and NHR-40 have highly species-specific regulatory targets. These results suggest two possible evolutionary scenarios: either the genetic module responsible for feeding-structure morphogenesis in Diplogastridae already existed in the last common ancestor of C. elegans and P. pacificus, and subsequently disintegrated in the former as NHR-1 and NHR-40 acquired new targets, or it evolved in conjunction with teeth in Diplogastridae. These findings indicate that feeding-structure morphogenesis is regulated by different genetic programs in P. pacificus and C. elegans, hinting at developmental systems drift during the flap-to-tooth transformation. Further research in other "rhabditid" species is needed to fully reconstruct the developmental genetic changes which facilitated the evolution of novel feeding structures in Diplogastridae. Research HighlightsCombining CRISPR-based mutagenesis, geometric morphometrics, and transcriptomics, we found that the genetic module governing the morphogenesis of novel feeding structures in diplogastrid nematodes is not conserved in the "rhabditid" C. elegans.

zoology↗