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bioRxiv2019

Ecology, phylogeny, and the evolution of developmental duration in birds

The duration of the developmental period represents a fundamental axis of life history variation in animals, yet broad insights regarding the drivers of this diversity are currently lacking. Here using embryological data combined with information on incubation and fledging periods for 3096 species, we test key mechanistic and adaptive explanations for the evolutionary diversification of developmental durations in birds. First, using data on embryonic development for 20 model species, we show that developmental phases associated primarily with growth are longer and more variable than earlier phases, consistent with a role for allometric constraint in determining the duration of development. Second, using phylogenetic comparative methods, we find that avian developmental durations retain a strong imprint of deep evolutionary history, and that after accounting for these effects, body size differences among species explain less variation (5-22%) in developmental period lengths than previously thought. Finally, by collecting data for a suite of potential explanatory variables, our analyses reveal broad-scale ecological correlates of developmental durations, including variables associated with the relative safety of the developmental environment (e.g. nest height, insularity) and pressures of breeding phenology (e.g. migration). Overall, our results reveal that the combined effects of species body size, ecology, and phylogenetic history can account for 62-93% of the variation in developmental durations across birds, providing broad-scale quantitative insight into the relative importance of mechanistic constraints, adaptive evolution and evolutionary constraints in shaping the diversification of this key life-history trait.

evolutionary biology↗

bioRxiv2019

Towards ecologically valid biomarkers: real-life gait assessment in cerebellar ataxia

BACKGROUNDWith disease-modifying drugs on the horizon for degenerative ataxias, motor biomarkers are highly warranted. While ataxic gait and its treatment-induced improvements can be captured in laboratory-based assessments, quantitative markers of ataxic gait in real life will help to determine ecologically meaningful improvements.\n\nOBJECTIVESTo unravel and validate markers of ataxic gait in real life by using wearable sensors.\n\nMETHODSWe assessed gait characteristics of 43 patients with degenerative cerebellar disease (SARA:9.4{+/-}3.9) compared to 35 controls by 3 body-worn inertial sensors in three conditions: (1) laboratory-based walking; (2) supervised free walking; (3) real-life walking during everyday living (subgroup n=21). Movement analysis focussed on measures of movement smoothness and spatio-temporal step variability.\n\nRESULTSA set of gait variability measures was identified which allowed to consistently identify ataxic gait changes in all three conditions. Lateral step deviation and a compound measure of step length categorized patients against controls in real life with a discrimination accuracy of 0.86. Both were highly correlated with clinical ataxia severity (effect size {rho}=0.76). These measures allowed detecting group differences even for patients who differed only 1 point in the SARAp&g subscore, with highest effect sizes for real-life walking (d=0.67).\n\nCONCLUSIONSWe identified measures of ataxic gait that allowed not only to capture the gait variability inherent in ataxic gait in real life, but also demonstrate high sensitivity to small differences in disease severity - with highest effect sizes in real-life walking. They thus represent promising candidates for quantitative motor markers for natural history and treatment trials in ecologically valid contexts.

bioengineering↗

bioRxiv2019

A large-scale species level dated angiosperm phylogeny for evolutionary and ecological analyses

Phylogenies are a central and indispensable tool for evolutionary and ecological research. Even though most angiosperm families are well investigated from a phylogenetic point of view, there are far less possibilities to carry out large-scale meta-analyses at order level or higher. Here, we reconstructed a large-scale dated phylogeny including nearly 1/8th of all angiosperm species based on two plastid barcoding genes, matK and rbcL. Novel sequences were generated for several species, while the rest of the data were mined from GenBank. The resulting tree was dated using 56 angiosperm fossils as calibration points. The resulting megaphylogeny is one of the largest dated phylogenetic tree of angiosperms yet, consisting of 36,101 sampled species, representing 8,399 genera, 426 families and all orders. This novel framework will be useful to investigate different broad scale research questions in ecological and evolutionary biology.

evolutionary biology↗

bioRxiv2019

Plant budding speciation predominant by ecological and geographical differentiation: an ‘evolutionary snapshot’ in Iberodes (Boraginaceae)

O_LITraditional classification of speciation modes has focused on physical barriers to gene flow. While allopatry has been viewed as the most common mechanism of speciation, parapatry and sympatry, both entail speciation in the face of ongoing gene flow and thus both are far more difficult to detect and demonstrate. Iberodes (Boraginaceae, NW Europe) with a small number of recently derived species (five) and contrasting morphological traits, habitats and distribution patterns constitutes an ideal system in which to study drivers of lineage divergence and differentiation. C_LIO_LITo reconstruct the evolutionary history of the genus, we undertook an integrative study entailing: (i) phylogenomics based on restriction-site associated DNA sequencing (RAD-seq), (ii) morphometrics, and (iii) climatic niche modelling. C_LIO_LIKey results revealed a history of repeated progenitor-derivative speciation, manifesting in paraphyletic pattern within Iberodes. Climatic niche analyses, together with the morphometric data and species distributions, suggest that ecological and geographical differentiation have interacted to shape the diversity of allopatric and parapatric distributions observed in Iberodes. C_LIO_LIOur integrative study has enabled to overcome previous barriers to understanding parapatric speciation by demonstrating the recurrence of progenitor-derivative speciation in plants with gene flow and ecological differentiation, explaining observed parapatry and paraphyly. C_LI

evolutionary biology↗

bioRxiv2019

Ecological divergence and hybridization of Neotropical Leishmania parasites

The tropical Andes is an important natural laboratory to understand speciation and diversification in many taxa. Here, we examined the evolutionary history of parasites of the Leishmania braziliensis species complex based on whole genome sequencing of 67 isolates from 47 localities in Peru. We firstly show the origin of near-clonal Andean Leishmania lineages that diverged from admixed Amazonian ancestors, accompanied by a significant reduction in genome diversity and large structural variations implicated in host-parasite interactions. Beside a clear dichotomy between Andean and Amazonian species, patterns of population structure were strongly associated with biogeographical origin. Molecular clock analyses and ecological niche modeling suggested that the history of diversification of the Andean lineages is limited to the Late Pleistocene and intimately associated with habitat contractions driven by climate change. These results support a wider model on trypanosomatid evolution where major parasite lineages emerge through ecological fitting. Second, genome-scale analyses provided evidence of meiotic recombination between Andean and Amazonian Leishmania species, resulting in full-genome hybrids. The mitochondrial genome of these hybrids consisted of homogeneous uniparental maxicircles, but minicircles originated from both parental species, leaving a mosaic ancestry of minicircle-encoded guide RNA genes. We further show that mitochondrial minicircles - but not maxicircles - show a similar evolutionary pattern as the nuclear genome, suggesting that biparental inheritance of minicircles is universal and may be important to alleviate maxicircle-nuclear incompatibilities. By comparing full nuclear and mitochondrial genome ancestries, our data expands our appreciation on the genetic consequences of diversification and hybridization in parasitic protozoa.

genomics↗

bioRxiv2025

Social and ecological factors associated with innovation in urban sulphur-crested cockatoos (Cacatua galerita)

Why some species thrive in urban environments while others do not is a central question in behavioral ecology. Behavioral innovations has been proposed as a key mechanism facilitating this adaptation. At the individual level, innovativeness varies with cognitive and behavioral traits. However, at the population level, innovation rates can also be influenced by social and ecological factors including group size, and environmental novelty and complexity. The role of these factors are still under-explored, especially at within-city scales. To disentangle factors influencing group-level variation in innovation rates, we presented roosts of wild sulphur-crested cockatoos Cacatua galerita, with extractive-foraging tasks that required innovative problem-solving. We installed three tasks of different levels of difficulty on trees at fifteen communal roost sites across an urban matrix. We matched these with direct measures of roost-size and connectivity, and with high-resolution remote-sensing mapping to estimate variation in urbanization and environmental heterogeneity. We found that approach time was significantly associated with urbanization, with individuals in more urban sites approaching tasks more quickly, suggesting reduced neophobia with urbanization or increased familiarity with human-derived objects. In contrast, time to innovate in our study was explained by task difficulty rather than environmental and social factors. While we detected no significant effects of group size, connectivity, and environmental heterogeneity, larger sample sizes may be needed to reveal more subtle influences on innovation. Together, these results suggest that urbanization gradients can shape behavioral responses to novelty independently from problem-solving abilities. Lay SummaryCities are challenging places for wildlife, but some species, like sulphur-crested cockatoos, adapt by finding new ways to feed and solve problems. We studied how urbanization and social factors vary with cockatoos ability to innovate when presented with extractive-foraging tasks. We found that birds in more urban areas approached the tasks more quickly, suggesting reduced neophobia or increased familiarity with novel objects. This work highlights behavioral differences across urbanization gradients in human-dominated environments.

animal behavior and cognition↗

bioRxiv2025

A continuum of ecology and evolution contributes to mutualism breakdown between legumes and rhizobia

Ecology and evolution jointly shape community responses to environmental perturbations, yet these processes are often examined separately, even in microorganisms where both occur over short time-scales. For example, during mutualism breakdown, shifts in diverse microbial communities might coincide with evolutionary changes in mutualistic traits within key symbionts. Here we study the legume-rhizobium mutualism after 33 years of nitrogen fertilization. Pairing a manipulative inoculation study with full-length 16S rRNA amplicon sequencing provides incomparable resolution across biological scales: whole bacterial community, genus Rhizobium, Rhizobium ASVs, and symbiosis plasmids. Clover host plant growth is first limited by symbiont availability; clovers preferred partner declines in N-addition soils, while a diverse, largely uncharacterized Rhizobium community increases. This ecological change is compounded by a concurrent evolutionary decline in the quality of the preferred symbiont through changing frequencies of symbiotic plasmids. These shifts make mutualists both rarer and inferior, reducing the benefits hosts receive from mutualism.

microbiology↗

bioRxiv2025

Higher levels of antibiotic resistance are less competitive: the hidden ecological cost of no-metabolic cost resistance

Antibiotic resistance is often assumed to be constrained by fitness costs that limit the spread of highly resistant strains. Yet, many resistance mechanisms - including enzymatic antibiotic degradation - can arise with little or no metabolic cost, raising an important question: why is extreme resistance not more widespread? Here, we show that community-level interactions impose a hidden ecological cost on high resistance. By performing experiments with simple communities comprised of antibiotic resistant clinical isolates and an antibiotic susceptible strain, we find that when exposed to betalactam antibiotics, strains with a higher degree of antibiotic resistance can promote the survival of cohabiting susceptible strains. Guided by mean-field modeling, we find that highly resistant bacteria accelerate detoxification of the shared environment, shortening the period during which resistance confers a competitive advantage. Experiments with an engineered strain with tunable resistance level confirm that susceptible cells grow best in the presence of highly resistant strains. Importantly, this effect does not require evolved cooperation or active enzyme secretion; experimental and modeling results show that unavoidable processes, such as cell death or passive leakage, prevent complete privatization of resistance, giving rise to "accidental co-operation". These findings suggest that resistance evolution is not only shaped by intrinsic cellular costs but also by ecological feedback that limits the benefits of incremental increases in resistance. This result may be reflected in the phenotypic responses of the clinical strains tested in this work, which fell into distinct low- and high-resistance classes with no intermediate phenotypes. Thus, this work demonstrates the important role of community dynamics in understanding the evolution of antibiotic resistance and treatment outcomes.

microbiology↗

bioRxiv2025

Stabilising selection and ecological trade-offs underpin coexistence in a tropical flora

Tropical forests harbour the majority of global plant biodiversity1,2, yet the genomic mechanisms governing the assembly and maintenance of these communities remain poorly understood. Here, we assembled draft genomes for 499 angiosperm species from a lowland rainforest in Singapore, representing 67% of its flora, and integrated these with plant traits and comprehensive forest census data. Across the community, most gene families evolve under stabilising selection, with copy numbers maintained near long-term optima that differ among ecological strategies. These niche-associated genomic attractor states provide a mechanism for convergent adaptation and species coexistence. Modelling stabilising selection also identified a strong trade-off between defence and growth, indicating that pathogen pressure constrains developmental diversification. Consistent with this, species-specific genome space was enriched for resistance genes and transposable elements. In contrast, genomic processes structuring present-day plant community composition differ from those driving deep-time convergence. Genomic comparisons across forest types revealed stronger selection on defence-related pathways in old-growth primary forests and on growth-related processes in regenerating secondary forests, while community-level genomic profiles showed expansions in gene families associated with rapid responses to environmental fluctuations. Stabilising selection therefore links population-level adaptation3,4 with long-term species diversification in the tropics. Niche similarity promotes long-term coexistence, whereas local community structure is shaped by more rapid ecological filtering driven by environmental change. Taken together, these two distinct evolutionary layers provide a genomic framework for understanding how hyperdiverse rainforest floras arise and persist.

genomics↗

bioRxiv2026

Multiple ecological and evolutionary mechanisms drive treatment-induced antibiotic resistance

The emergence of resistance within patients during antibiotic treatment is an important cause of treatment failure. However, the ecological and evolutionary mechanisms driving within-patient emergence remain poorly understood. Here, we analysed 24,478 Pseudomonas aeruginosa isolates sampled from 180 bronchiectasis patients during a clinical trial to understand how ciprofloxacin-resistant infections emerged over a one-year period of pulse-dosing. Pre-existing resistance predominated, accelerating resistance emergence relative to patients where resistance emerged by spontaneous mutation or strain immigration. Selective sweeps of costly mutations increased resistance over time in some patients, whereas in others oscillating resistance levels were driven by antibiotic treatment and resistance-growth trade-offs between genetically divergent subpopulations. Our findings show that infections under identical treatment follow diverse and sometimes complex ecological and evolutionary paths to antibiotic resistance, with implications for better predicting and managing treatment-induced antibiotic resistance.

evolutionary biology↗

bioRxiv2026

Rapid speciation in small populations challenges the dominance of ecological speciation

Speciation - the process by which two lineages become reproductively isolated - plays a key role in the emergence and maintenance of biodiversity. Yet, our understanding of the time it takes for speciation to occur, and of the microevolutionary processes that influence this tempo, remains limited. Here, we thoroughly characterize how population size, mutation rate, local adaptation and migration are expected to influence the duration of speciation, as well as the shape of the "grey zone" of speciation. We show that the relationship between population size and speciation time is indicative of the speciation mode, as faster speciation in smaller populations only occurs in the case of non-ecological speciation. Leveraging genomic estimates of population size and speciation duration across 196 pairs of plant species, we uncover a positive association between population size and speciation duration. Taken together, these results challenge the view that ecological speciation is the source of much of species diversity.

evolutionary biology↗

bioRxiv2026

Modularity, ecology, and theoretical evolution of the ribozyme body plan

Ribozymes are relics of molecular life forms from the primitive earth that are embedded within modern genomes across all kingdoms of life. Despite significant knowledge from decades of bioinformatic and biochemical research, a gap remains in our understanding of the world in which ribozymes existed, their interactions, ecology, and possibly also evolution. The present study proposes a new theoretical basis for understanding these aspects of ribozyme biology by adopting a zoological frame of thought. Seven families of small self-cleaving ribozymes are each mapped to a primitive marine animal analog based on topological architecture, and classified into body plan grades paralleling cnidarian, ctenophore, and bilaterian organization. A formal notation describing ribozyme regions as bodies, cavities, and limbs enables systematic comparison with animal body plans and highlights reusability of parts across ribozyme groups, in turn enabling the construction of a connectivity network and a putative body plan-based evolutionary ordering. This ordering of body plans identifies systematic gaps corresponding to undiscovered ribozyme forms, one of which, a planktonic form of hammerhead, was bioinformatically found in 16.2% of all hammerhead sequences. Computational cross-cleavage analysis across all 49 pairwise interactions (including conspecific) suggests that the hammerhead was a generalist apex predator in the RNA world, while the hatchet was a vulnerable, filter-feeding or scavenger prey species. Conspecific analysis suggests that cannibalism was also a prevalent feeding strategy. Evolutionary avoidance signatures suggest ancient predator-prey coevolution. This theory emphasizes behavior, modularity, and ecological interactions as primary drivers of early ribozyme evolution, offering a new pathway for inferring ancient RNA forms independent of sequence-first assumptions.

bioinformatics↗

bioRxiv2026

Bacterial proteome foundation model enhances functional prediction from enzymes to ecological interactions

Bacteria play fundamental roles in ecosystems, human health, and biotechnology. Although bacterial genome sequencing data have accumulated rapidly over the past decade, the metabolic and ecological functions carried out by most sequenced bacteria remain poorly understood, apart from a few well-studied taxa and traits. Establishing a general framework that comprehensively captures the relationship between bacterial genomes and the diverse biological functions they encode remains a major challenge, as it requires embedding individual genes within their broader genomic context and modeling their combined effects across complex biological pathways and networks. The difficulty is further compounded by the limited functional annotations available for most bacterial genomes. Here, we introduce BacPT, a proteome foundation model trained on tens of thousands of complete genomes spanning diverse bacterial taxa. BacPT captures both local and genome-wide information, enabling the generation of contextualized gene embeddings and functionally rich representations of the whole genome. We demonstrate the utility of BacPT across diverse prediction tasks spanning multiple biological scales. BacPT embeddings improve the prediction of enzyme activities, biosynthetic gene clusters, metabolic traits, and ecological interaction outcomes. Our results highlight that unsupervised deep learning applied at the scale of entire proteomes provides a powerful approach for characterizing gene interactions and mapping functional landscapes for bacteria.

genomics↗

bioRxiv2026

Vascular diversity in Fabaceae: evolutionary and ecological insights from a globally distributed lineage

The vascular system is central to plant ecology and evolution. Here, we show that more than 100 species across 27 genera and four subfamilies of Fabaceae have evolved atypical vascular architectures and that these species occur in all biogeographical regions except Antarctica. Because Fabaceae includes many ecologically and economically important species exhibiting these novel vasculatures, the family emerges as an ideal system for assessing the implications of vascular innovation in both fundamental and applied research.

plant biology↗

bioRxiv2026

Complete genome-derived metabolic interactions reveal impact of gut ecology on human health

Metabolic interactions govern gut microbiome assembly, yet functional rules remain obscured by genomic incompleteness and fragmentation. Here, we leverage 1,150 complete genomes to construct genome-scale metabolic models, demonstrating that draft genomes introduce systemic artifacts missing critical transport functions. We observe that metabolic interactions are intrinsically driven by genomic traits and niche specialization rather than random association. We stratifies strains into four ecological groups, including active players, resource predators, utilizers, and contributors, each of which exhibits distinct metabolite exchange/competition signatures. This functional architecture is strongly coupled to secondary metabolism. Applying this framework to inflammatory bowel disease revealed distinct temporal dynamics of ecological groups across disease subtypes, where group-specific dysbiosis predicted clinical phenotypes better than whole community profiles. Furthermore, integrating metabolic and co-occurrence networks to identify keystone for classifiers as features significantly improved disease diagnosis. Our study provides novel insights into gut metabolic interaction landscape, bridging the gap between genomic potential and clinical utility for precision microbiome therapeutics.

microbiology↗

bioRxiv2026

Genomic diversification underlies the broad ecological range of Salmonella enterica serotype Typhimurium

Salmonella Typhimurium is a versatile foodborne pathogen with a broad ecological range, making it an ideal model to better understand pathogen adaptations that allow them to infect multiple hosts and persist across environments. Here, we analyzed 595 genomes of S. Typhimurium representing three food animal sources (bovine, swine, and poultry) and one non-food animal source (wild birds). We found that S. Typhimurium from food animal sources generally had a more open pangenome and harbored more antimicrobial resistance genes (ARGs). Notably, swine isolates exhibited the most open pangenome and the highest prevalence of ARGs, patterns that were associated with a greater presence of mobile genetic elements, particularly plasmids. Despite similar core genome sizes, S. Typhimurium from different sources displayed distinct patterns of positive selection in the core genome that varied in frequency and targeted functional categories. In contrast, although accessory genome sizes varied substantially across sources, the frequency of positive selection remained similar. Using machine learning, we identified source-predictive genetic variants, many of which are associated with stress-response functions. These findings suggest that gain and loss of accessory genes and positive selection acting on core genes support differential adaptation in S. Typhimurium, potentially contributing to its broad ecological range.

genomics↗

bioRxiv2026

Managing the phyllosphere: Agronomic practices influence the ecology and evolution of Pseudomonas syringae in cherry orchards

Bacterial canker, caused the Pseudomonas syringae species complex, is a major constraint on sweet cherry production worldwide. However, the influence of agronomic practices on pathogen ecology, dispersal and evolution under field conditions remains poorly understood. Here, we combined a factorial-design field experiment with whole-genome sequencing to investigate the effects of polytunnel covering and nitrogen fertigation on phyllosphere populations and the dynamics of a key pathogen, P. syringae pathovar syringae 9644 (Pss9644) in young cherry trees. Epiphytic P. syringae populations initially resembled those in surrounding woodland environments. Over time, pathogenic phylogroup 2d lineages became dominant, particularly on uncovered trees. Diversity of P. syringae populations was higher in uncovered treatments. Polytunnel covering markedly altered community composition and limited rain-splash dispersal of Pss9644 from stem cankers to leaves, thereby interrupting a key stage of the disease cycle. By contrast, nitrogen fertigation had no detectable effect on phyllosphere community structure, but enhanced plant growth and reduced lesion expansion following inoculation. Whole-genome sequencing of re-isolated Pss9644 strains revealed limited short-term genomic diversification, with single-nucleotide polymorphisms detected in 22 re-isolates. In total, 36 mutations were identified across the chromosome although no mutation affected virulence or motility. Taken together, our results show that agronomic practices influence both pathogen ecology and disease outcomes through distinct mechanisms: polytunnel covering primarily limits pathogen dispersal and reshapes phyllosphere communities, while nitrogen fertigation enhances plant growth and reduces disease severity. These findings highlight the potential to integrate canopy management and nutrient strategies to mitigate bacterial canker risk in commercial cherry production.

microbiology↗

bioRxiv2026

Ecological diversification without genomic reorganization: repeat dynamics and regulatory evolution in Metarhizium robertsii

How can closely related organisms occupy distinct ecological niches without extensive genomic reorganization? We addressed this question by comparing eight strains of the entomopathogenic fungus Metarhizium robertsii that span a shallow phylogenetic gradient yet exhibit striking differences in virulence, plant associations, and metabolic capabilities. Despite nucleotide identity exceeding 98.5% and extensive macrosynteny, these strains showed pronounced variation in repeat-rich genomic regions: synteny gaps were twofold enriched near chromosome ends, transposable element loads varied from less than 3% to over 13% across strains diverging within [~]0.3 million years, and repeat-induced point mutation signatures tracked TE activity rather than phylogenetic distance. Notably, repeat expansion occurs through diverse spatial mechanisms rather than being uniformly concentrated in chromosome-terminal regions. In contrast, core functional repertoires, proteases, carbohydrate-active enzymes, developmental regulators, and most secondary metabolite biosynthetic genes, were highly conserved, with phenotypic differences in virulence and secondary metabolism arising primarily from regulatory divergence and local structural variation rather than gene presence or absence. Metabolic specialization similarly reflected functional repurposing within a conserved enzymatic framework: loss of processive cellulases alongside enrichment of oxidative auxiliary activity enzymes produced a profile convergent with brown-rot fungi but adapted for insect-associated and rhizosphere niches. These results support a hierarchical model of ecological diversification in which diverse repeat expansion mechanisms, TE dynamics, and regulatory innovation operate as coupled axes of localized genomic change within an otherwise constrained genomic framework, reconciling rapid niche differentiation with strong structural conservation and suggesting a general mechanism for intraspecific adaptation in complex eukaryotic microbes.

evolutionary biology↗