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Strength in numbers: collaborative science for new experimental model systems

Our current understanding of biology is heavily based on the contributions from a small number of genetically tractable model organisms. Most eukaryotic phyla lack such experimental models, and this limits our ability to explore the molecular mechanisms that ultimately define their biology, ecology, and diversity. In particular, marine protists suffer from a paucity of model organisms despite playing critical roles in global nutrient cycles, food webs, and climate. To address this deficit, an initiative was launched in 2015 to foster development of ecologically and taxonomically diverse marine protist genetic models. This multifaceted, complex but important challenge required a highly collaborative community-based approach. Herein we describe this approach, the advances achieved, and the lessons learned by participants in this novel community-based model for research.

microbiology

Convergent transcriptomic landscapes under polygenic selection accompany inter-continental parallel evolution within a Nearctic Coregonus (Salmonidae) sister-species complex.

In contrast to the plethora of studies focusing on the genomic basis of adaptive phenotypic divergence, the role of gene expression during speciation has been much less investigated and consequently, less understood. Yet, the convergence of differential gene expression patterns between closely related species-pairs might reflect the role of natural selection during the process of ecological speciation. Here, we test for intercontinental convergence in differential transcriptional signatures between limnetic and benthic sympatric species-pairs of Lake Whitefish (Coregonus clupeaformis) and its sister-lineage, the European Whitefish (C. lavaretus), using six replicated sympatric species-pairs (two in North America, two in Norway and two in Switzerland). We characterized both sequence variation in transcribed regions and differential gene expression between sympatric limnetic and benthic species across regions and continents. Our first finding was that differentially expressed genes (DEG) between limnetic and benthic whitefish tend to be enriched in shared polymorphism among sister-lineages. We then used both genotypes and co-variation in expression in order to infer polygenic selection at the gene level. We identified parallel outliers and DEG involving genes primarily over-expressed in limnetic species relative to the benthic species. Our analysis finally revealed the existence of shared genomic bases underlying parallel differential expression across replicated species pairs from both continents, such as a cis-eQTL affecting the pyruvate kinase expression level involved in glycolysis. Our results are consistent with a longstanding role of natural selection in maintaining transcontinental diversity at phenotypic traits involved in ecological speciation between limnetic and benthic whitefishes.

evolutionary biology

Rapid, inexpensive measurement of synthetic bacterial community composition by Sanger sequencing

Simple synthetic bacterial communities are powerful tools for studying microbial ecology and evolution, as they enable rapid iteration between controlled laboratory experiments and theoretical modeling. However, their utility is hampered by the lack of fast, inexpensive, and accurate methods for quantifying bacterial community composition. For instance, while next-generation amplicon sequencing can be very accurate, high costs (>$30 per sample) and turnaround times (>1 month) limit the nature and pace of experiments. Here, we introduce a new approach for quantifying composition in synthetic bacterial communities based on Sanger sequencing. First, for a given community, we PCR-amplify a universal marker gene (here, the 16S rRNA gene), which yields a mixture of amplicons. Second, we sequence this amplicon mixture in a single Sanger sequencing reaction, which produces a \"mixed\" electropherogram with contributions from each community member. We also sequence each community members marker gene individually to generate \"individual\" electropherograms. Third, we fit the mixed electropherogram as a linear combination of time-warped individual electropherograms, thereby allowing us to estimate the fractional amplicon abundance of each strain within the community. Importantly, our approach accounts for retention-time variability in electrophoretic signals, which is crucial for accurate compositional estimates. Using synthetic communities of marine bacterial isolates, we show that this approach yields accurate and reproducible abundance estimates for two-, four-, and seven-strain bacterial communities. Furthermore, this approach can provide results within one day and costs ~$5 USD per sample. We envision this approach will enable new insights in microbial ecology by increasing the number of samples that can be analyzed and enabling faster iteration between experiments and theory. We have implemented our method in a free and open-source R package called CASEU (\"Compositional Analysis by Sanger Electropherogram Unmixing\"), available at https://bitbucket.org/DattaManoshi/caseu.

bioinformatics

Evolutionary emergence of infectious diseases in heterogeneous host populations

Emergence and re-emergence of pathogens are notoriously difficult to predict. The erratic nature of those events is reinforced by the stochastic nature of pathogen evolution during the early phase of an epidemic. For instance, mutations allowing pathogens to escape host resistance may boost pathogen spread and promote emergence. Yet, the ecological factors that govern such evolutionary emergence remain elusive both because of the lack of ecological realism of current theoretical frameworks and the difficulty of experimentally testing their predictions. Here we develop a theoretical model to explore the effects of the heterogeneity of the host population on the probability of pathogen emergence, with or without pathogen evolution. We show that evolutionary emergence and the spread of escape mutations in the pathogen population is more likely to occur when the host population contains an intermediate proportion of resistant hosts. We also show that lower pathogen inoculum size and higher diversity of host resistance decrease the probability of evolutionary emergence. Crucially, we present experimental confirmations of these predictions using lytic bacteriophages infecting their bacterial hosts containing diverse CRISPR-Cas immune defenses. We discuss the implications of these results for cross-species spillover and for the management of emerging infectious diseases.\n\nSignificance statementCan we predict the emergence of infectious diseases? The probability that an epidemic breaks out is highly dependent on the ability of the pathogen to acquire new adaptive mutations and to induce evolutionary emergence. Forecasting pathogen emergence thus requires a good understanding of the interplay between epidemiology and evolution taking place at the onset of an outbreak. Here, we provide a comprehensive theoretical framework to analyze the impact of host population heterogeneity on the probability of pathogen evolutionary emergence. We use this model to predict the impact of the fraction of susceptible hosts, the inoculum size of the pathogen and the diversity of host resistance on pathogen emergence. Our experiments using lytic bacteriophages and CRISPR-resistant bacteria support our theoretical predictions.

evolutionary biology

Infections patterns and fitness effects of Rickettsia and Sodalis symbionts in the green lacewing Chrysoperla carnea

Endosymbionts are wide-spread among insects and can play an essential role in host ecology. The common green lacewing (Chrysoperla carnea s. str.) is a neuropteran insect species which is widely used as a biological pest control. We screened for endosymbionts in natural and laboratory populations of the green lacewing using diagnostic PCR amplicons. We found the endosymbiont Rickettsia to be very common in all screened populations, whereas a so far uncharacterized Sodalis strain was solely found in laboratory populations. The new Sodalis strain was characterized using a whole genome shotgun approach. Its draft genome revealed an approximate genome size of 4.3 Mbp and the presence of 5213 coding sequences. Phylogenomic analyses indicated that this bacterium is the sister taxon of S. praecaptivus. In an experimental approach, we found a negative impact of Sodalis on the reproduction success of the green lacewing. Co-infections with Rickettsia and Sodalis caused an even higher decrease of reproductive success than single Sodalis infections. In contrast, no significant fitness differences were found in Rickettsia infected green lacewings compared to uninfected lacewings. The Rickettsia/Sodalis/Ch. carnea system presents a promising model to study evolutionary endosymbiont-host interactions in Neuroptera and endosymbiont-endosymbiont interactions in general. The economic and ecological importance of green lacewings in biological pest control warrants a more profound understanding of its biology, which might be strongly influenced by symbionts.

evolutionary biology

Effect of eco-remediation and microbial community using multilayer solar planted floating island (MS-PFI) in the drainage channel

A multilayer solar planted floating island (MS-PFI) planted with Eichhornia crassipes are potential alternatives to traditional PFI. The highest removal rates of suspended solids, total nitrogen, total phosphorus, ammonia nitrogen and chemical oxygen demand was 86%, 75%, 80%, 95% and 84%, respectively. Proteobacteria (average 43.4% of total sequences) and Actinobacteria (19.9%) were the dominant phyla. Numerous genus had obvious differences between influent and effluent water, for instance, 13, 12 and 7 % in effluent water were assigned to the hgcl_clade, Norank_c_Cyanobacteria, and Rhizorhapis, while their relative abundances were decreased to 5, 3 and 0 %. In contrast, a distinct increase among Flavobacterium (10%), Limnohabitans (7%), Alpinimonas (4%), norank_p_Saccharibacteria (4%), Erwinia (3%) after MS-PFI treatment. MS-PFI brings various bacteria involved in contaminant degradation and nutrient removal in biological wastewater treatment systems. An amount of {yen} 1,843 was totally inputted to construct floating bed, which was rarely needed operation and maintenance costs.\n\nImportanceIn-situ micro-polluted water ecological remediation, microorganisms and plants are effective to improve environmental quality and provide essential ecosystem services. Recently, we invent a new multilayer solar with an excellent pollutant removal efficiency. Microbes can decompose or mineralize organic matter effectively, also provide food for aquatic animals and increase nutrients or substances for plants, it is an important part of biogeochemical cycles and energy flows in aquatic ecological systems. However, few study explain the bacteria diversity and its responses between influent and effluent water in a planted floating island. The significance of our study is in identifying-in greater detail-the responses of bacteria in the new MS-PFI. This will greatly enhance our knowledge of bacteria communities, and can be widely used in micro-polluted water remediation.

bioengineering

Stepping into a dangerous quagmire: environmental determinants of human-lancehead pit vipers (Bothrops genus) contact resulting in injuries, Brazilian Amazon

Despite significant and successful efforts in Brazil regarding snakebites in the areas of research, antivenom manufacture and quality control, training of health professionals in the diagnosis and clinical management of bites, little is known about determinants of snakebites incidence in order to further plan interventions to reduce the impact of this medical condition. Understanding the complexity of ecological interactions in a geographical region is important for prediction, prevention and control measures of snakebites. The aim of this investigation is to describe spatial distribution and identify environmental determinants of human- lancehead pit vipers (Bothrops genus) contact resulting in injuries, in the Brazilian Amazon. Aggregated data by municipality was used to analyze the spatial distribution of Bothrops bites cases and its relationship with geographic and environmental factors. Eight geo-environmental factors were included in the analysis as independent variables: (1) tree canopy loss increase; (2) area with vegetation cover; (3) area covered by water bodies; (4) altitude; (5) precipitation; (6) air relative humidity; (7) soil moisture; and (8) air temperature. Human- lancehead pit vipers (Bothrops genus) contact resulting in envenomings in the Amazon region is more incident in lowlands [-0.0006827 (IC95%: -0.0007705; - 0.0005949), p<0.0001], with high preserved original vegetation cover [0.0065439 (IC95%: 0.0070757; 0.0060121), p<0.0001], with heaviest rainfall [0.0000976 (IC95%: 0.0000925; 0.0001026), p<0.0001] and higher air relative humidity [- 0.0081773 (IC95%: -0.0107681; -0.0055865), p<0.0001]. This association is interpreted as the result of the higher forest productivity and abundance of pit vipers in such landscapes.\n\nAuthor summaryDespite successful efforts in Brazil regarding snakebites in the areas of research, antivenom manufacture and quality control and training of health professionals, little is known about determinants of snakebites incidence in order to further plan interventions to reduce the impact of this medical condition. Understanding the complexity of ecological interactions in a geographical region is important for prediction, prevention and control measures of snakebites. The aim of this study is to describe spatial distribution and identify environmental determinants of human- lancehead pit vipers (Bothrops genus) contact resulting in injuries, in the Brazilian Amazon. An increase in the forest productivity with a higher availability of some types of prey, such as frogs and amphibians, anurans and lizards, was suggested as a cause for the higher snake abundance in the rainy season. Probably due to the higher forest productivity and abundance of pit vipers in such landscapes, human-lancehead pit vipers contact resulting in envenomings in the Amazon region is more incident in lowlands, with high preserved original vegetation cover, with heaviest rainfall and higher air relative humidity.

animal behavior and cognition

Available energy fluxes drive a phase transition in the diversity, stability, and functional structure of microbial communities

A fundamental goal of microbial ecology is to understand what determines the diversity, stability, and structure of microbial ecosystems. The microbial context poses special conceptual challenges because of the strong mutual influences between the microbes and their chemical environment through the consumption and production of metabolites. By analyzing a generalized consumer resource model that explicitly includes cross-feeding, stochastic colonization, and thermodynamics, we show that complex microbial communities generically exhibit a transition as a function of available energy fluxes from a "resource-limited" regime where community structure and stability is shaped by energetic and metabolic considerations to a diverse regime where the dominant force shaping microbial communities is the overlap between species consumption preferences. These two regimes have distinct species abundance patterns, different functional profiles, and respond differently to environmental perturbations. Our model reproduces large-scale ecological patterns observed across multiple experimental settings such as nestedness and differential beta diversity patterns along energy gradients. We discuss the experimental implications of our results and possible connections with disorder-induced phase transitions in statistical physics.

biophysics

Genetic diversity and distribution of indigenous soybean-nodulating bradyrhizobia in the Philippines

The diversity of indigenous bradyrhizobia from soils collected at 11 locations in the Philippines was investigated using PSB-SY2 local soybean cultivar as the host plant. Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) treatment for 16S rRNA, 16S-23S rRNA internal transcribed spacer (ITS) region and rpoB housekeeping gene was performed primarily to detect the genetic variation among the 424 isolates collected. Then, sequence analysis of 16S rRNA, ITS region and rpoB gene was performed for the representative isolates. Majority of the isolates were classified under Bradyrhizobium elkanii, B. diazoefficiens, B. japonicum, Bradyrhizobium sp., and few isolates were related to B. yuanmingense. Genetic variations observed through PCR-RFLP and sequence analyses of the ITS region and rpoB gene generally occurred in B. elkanii, suggesting an occurrence of gene transfer. Shannons diversity index showed varied results with a lowest score of 0.00 and highest at 0.98 indicating a very diverse population of bradyrhizobia across the country. Among all the factors considered in this work, soil management such as period of flooding and some soil properties provided major influence on the distribution and diversity of soybean bradyrhizobia in the country. Thus, it is proposed that the major micro-symbiont of soybean in the Philippines are B. elkanii for non-flooded soils, then B. diazoefficiens and B. japonicum for flooded soils.\n\nImportanceAgriculture production in the Philippines has been and is currently heavily dependent on chemical inputs with mainly rice or corn mono-cropping that it rendered the soil acidic and unproductive. Legume research in the country are mainly focused on plant varietal improvements and very few are aimed at understanding the ecological niche of rhizobia present in the soil. Since soybean has mutual relationship with rhizobia, this legume is a good fallow crop or a rotation crop after rice and corn to help build up the nitrogen stock in the soil. The significance of this research is the better understanding of the ecological niche of indigenous soybean bradyrhizobia, particularly in a tropical archipelago like the Philippines. This work was conceptualized with the utmost goal to increase soybean yield by harnessing and evaluating the indigenous rhizobia in the soil to make production more sustainable and human-friendly.

microbiology

Soil viruses are underexplored players in ecosystem carbon processing

Rapidly thawing permafrost harbors ~30-50% of global soil carbon, and the fate of this carbon remains unknown. Microorganisms will play a central role in its fate, and their viruses could modulate that impact via induced mortality and metabolic controls. Because of the challenges of recovering viruses from soils, little is known about soil viruses or their role(s) in microbial biogeochemical cycling. Here, we describe 53 viral populations (vOTUs) recovered from seven quantitatively-derived (i.e. not multiple-displacement-amplified) viral-particle metagenomes (viromes) along a permafrost thaw gradient. Only 15% of these vOTUs had genetic similarity to publicly available viruses in the RefSeq database, and ~30% of the genes could be annotated, supporting the concept of soils as reservoirs of substantial undescribed viral genetic diversity. The vOTUs exhibited distinct ecology, with dramatically different distributions along the thaw gradient habitats, and a shift from soil-virus-like assemblages in the dry palsas to aquatic-virus-like in the inundated fen. Seventeen vOTUs were linked to microbial hosts (in silico), implicating viruses in infecting abundant microbial lineages from Acidobacteria, Verrucomicrobia, and Deltaproteoacteria, including those encoding key biogeochemical functions such as organic matter degradation. Thirty-one auxiliary metabolic genes (AMGs) were identified, and suggested viral-mediated modulation of central carbon metabolism, soil organic matter degradation, polysaccharide-binding, and regulation of sporulation. Together these findings suggest that these soil viruses have distinct ecology, impact host-mediated biogeochemistry, and likely impact ecosystem function in the rapidly changing Arctic.

microbiology

Arabidopsis species deploy distinct strategies to cope with drought stress

O_LIBackground and Aims Water limitation is an important determinant of the distribution, abundance and diversity of plant species. Yet, little is known about how the response to limiting water supply changes among closely related plant species with distinct ecological preferences. Comparison of the model annual species A. thaliana to its close perennial relatives A. lyrata and A. halleri, can help disentangle the molecular and physiological changes contributing to tolerance and avoidance mechanisms, because these species must maintain tolerance and avoidance mechanisms to increase long-term survival, but they are exposed to different levels of water stress and competition in their natural habitat.\nC_LIO_LIMethods We conducted a dry-down experiment that mimics a period of missing precipitation. We quantified the covariation of progressive decrease in soil water content (SWC) with various physiological and morphological plant traits across a set of representative genotypes in Arabidopsis thaliana, A. lyrata and A. halleri. To quantify the degree of plant stress, transcriptome changes were also monitored.\nC_LIO_LIKey Results The analysis of trait co-variation demonstrates that the three species differ in the strategies they deploy to respond to drought stress. A. thaliana showed drought avoidance reaction but failed to survive wilting. A. lyrata efficiently combined avoidance and tolerance mechanisms. By contrast, A. halleri showed some degree of tolerance to wilting but it did not seem to protect itself from the stress imposed by drought. Transcriptome data collected just before plant wilting and after recovery corroborated the phenotypic analysis, with A. lyrata and A. halleri showing a stronger activation of recovery- and stress-related genes, respectively.\nC_LIO_LIConclusions We conclude that these three Arabidopsis species have evolved distinct strategies to face drought stress, and discuss the extent to which these strategic differences reflect their respective ecological priorities.\nC_LI

plant biology

Species’ range dynamics affect the evolution of spatial variation in plasticity under environmental change

While clines in environmental tolerance and phenotypic plasticity along a single species range are widespread and of special interest in the context of adaptation to environmental changes, we know little about their evolution. Recent empirical findings in ectotherms suggest that processes underlying dynamic species ranges can give rise to spatial differences in environmental tolerance and phenotypic plasticity within species. We used individual-based simulations to investigate how plasticity and tolerance evolve in the course of three scenarios of species range shifts and range expansions on environmental gradients. We found that regions of a species range which experienced a longer history or larger extent of environmental change generally exhibited increased plasticity or tolerance. Such regions may be at the trailing edge when a species is tracking its ecological niche in space (e.g., in a climate change scenario) or at the front edge when a species expands into a new habitat (e.g., in an expansion/invasion scenario). Elevated tolerance and plasticity in the distribution center was detected when asymmetric environmental change (e.g., polar amplification) led to a range expansion. Greater gene flow across the range had a dual effect on plasticity and tolerance clines, with an amplifying effect in niche expansion scenarios (allowing for faster colonization into novel environments), but with a dampening effect in range shift scenarios (favoring spatial translocation of adapted genotypes). However, tolerance and plasticity clines were transient and slowly flattened out after range dynamics because of genetic assimilation. In general, our approach allowed us to investigate the evolution of environmental tolerance and phenotypic plasticity under transient evolutionary dynamics in non-equilibrium situations, which contributes to a better understanding of observed patterns and of how species may respond to future environmental changes.\n\nImpact SummaryIn a variable and changing environment, the ability of a species to cope with a range of selection pressures and a multitude of environmental conditions is critical, both for its spatial distribution and its long-term persistence. Striking examples of spatial differences in environmental tolerance have been found within species, when single populations differed from each other in their environmental optimum and tolerance breadth, a characteristic that might strongly modify a species response to future environmental change. However, we still know little about the evolutionary processes causing these tolerance differences between populations, especially when the differences result from transient evolutionary dynamics in non-equilibrium situations. We demonstrate with individual-based simulations, how spatial differences in environmental tolerance and phenotypic plasticity evolved across a species range during three scenarios of range shifts and range expansion. Range dynamics were either driven by environmental change or by the expansion of the ecological niche. The outcome strongly differed between scenarios as tolerance and plasticity were maximized either at the leading edge, at the trailing edge, or in the middle of the species range. Spatial tolerance variation resulted from colonization chronologies and histories of environmental change that varied along the range. Subsequent to the range dynamics, the tolerance and plasticity clines slowly leveled out again as result of genetic assimilation such that the described responses are long-lasting, but in the end temporary. These findings help us better understand species evolutionary responses during range shifts and range expansion, especially when facing environmental change.

evolutionary biology

Long-read metagenomics reveals cryptic and abundant marine viruses

Marine viruses impact global biogeochemical cycles via their influence on host community structure and function, yet our understanding of viral ecology is constrained by limitations in culturing of important hosts and the lack of a universal gene to facilitate community surveys. Short-read viral metagenomic studies have provided clues to viral function and first estimates of global viral gene abundance and distribution. However, short-read assemblies are confounded by populations with high levels of strain evenness and nucleotide diversity (microdiversity), limiting assembly of some of the most abundant viruses on Earth. Assembly across genomic islands which likely contain niche-defining genes that drive ecological speciation is also challenging. While such populations and features are successfully captured by single-virus genomics and fosmid-based approaches, both techniques require considerable cost and technical expertise. Here we established a low-cost, low-input, high throughput alternative method for improving assembly of viral metagenomics using long read technology. Named VirION (Viral, long-read metagenomics via MinION sequencing), our sequencing approach and complementary bioinformatics pipeline (i) increased number and completeness of assembled viral genomes compared to short-read sequencing methods; (ii) captured populations of abundant viruses with high microdiversity missed by short-read methods and (iii) captured more and longer genomic islands than short-read methods. Thus, VirION provides a high throughput and cost-effective alternative to fosmid and single-virus genomic approaches to more comprehensively explore viral communities in nature.

genomics

The immune checkpoint kick start: Optimization of neoadjuvant combination therapy using game theory

An upcoming clinical trial at the Moffitt Cancer Center for women with stage 2/3 ER+breast cancer combines an aromatase inhibitor and a PD-L1 checkpoint inhibitor, and aims to lower a preoperative endocrine prognostic index (PEPI) that correlates with relapse-free survival. PEPI is fundamentally a static index, measured at the end of neoadjuvant therapy before surgery. We develop a mathematical model of the essential components of the PEPI score in order to identify successful combination therapy regimens that minimize both tumor burden and metastatic potential, based on time-dependent trade-offs in the system. We consider two molecular traits, CCR7 and PD-L1 which correlate with treatment response and increased metastatic risk. We use a matrix game model with the four phenotypic strategies to examine the frequency-dependent interactions of cancer cells. This game was embedded into an ecological model of tumor population growth dynamics. The resulting model predicts both evolutionary and ecological dynamics that track with changes in the PEPI score. We consider various treatment regimens based on combinations of the two therapies with drug holidays. By considering the trade off between tumor burden and metastatic potential, the optimal therapy plan was found to be a 1 month kick start of the immune checkpoint inhibitor followed by five months of continuous combination therapy. Relative to a protocol with both therapeutics given together from the start, this delayed regimen results in transient sub-optimal tumor regression while maintaining a phenotypic constitution that is more amenable to fast tumor regression for the final five months of therapy. The mathematical model provides a useful abstraction of clinical intuition, enabling hypothesis generation and testing of clinical assumptions.

cancer biology

Whole genome scan reveals the multigenic basis of recent tidal marsh adaptation in a sparrow

Natural selection acts on functional molecular variation to create local adaptation, the \"good fit\" we observe between an organisms phenotype and its environment. Genomic comparisons of lineages in the earliest stages of adaptive divergence have high power to reveal genes under natural selection because molecular signatures of selection on functional loci are maximally detectable when overall genomic divergence is low. We conducted a scan for local adaptation genes in the North American swamp sparrow (Melospiza georgiana), a species that includes geographically connected populations that are differentially adapted to freshwater vs. brackish tidal marshes. The brackish tidal marsh form has rapidly evolved tolerance for salinity, a deeper bill, and darker plumage since colonizing coastal habitats within the last 15,000 years. Despite their phenotypic differences, background genomic divergence between these populations is very low, rendering signatures of natural selection associated with this recent coastal adaptation highly detectable. We recovered a multigenic snapshot of ecological selection via a whole genome scan that revealed robust signatures of selection at 31 genes with functional connections to bill shape, plumage melanism and salt tolerance. As in Darwins finches, BMP signaling appears responsible for changes in bill depth, a putative magic trait for ecological speciation. A signal of selection at BNC2, a melanocyte transcription factor responsible for human skin color saturation, implicates a shared genetic mechanism for sparrow plumage color and human skin tone. Genes for salinity tolerance constituted the majority of adaptive candidates identified in this genome scan (23/31) and included vasoconstriction hormones that can flexibly modify osmotic balance in tune with the tidal cycle by influencing both drinking behavior and kidney physiology. Other salt tolerance genes had potential pleiotropic effects on bill depth and melanism (6/31), offering a mechanistic explanation for why these traits have evolved together in coastal swamp sparrows, and in other organisms that have converged on the same \"salt marsh syndrome\". As a set, these candidates capture the suite of physiological changes that coastal swamp sparrows have evolved in response to selection pressures exerted by a novel and challenging habitat.

evolutionary biology

A migration-associated supergene reveals loss of biocomplexity in Atlantic cod

Intraspecific phenotypic diversity is integral to ecological resilience and the provision of ecosystem services1. Chromosome structural variation may underpin intraspecific diversity and complex phenotypes2 by reducing recombination within supergenes containing linked, co-adapted alleles. Connecting ecologically-relevant phenotypes to genomic variation can enable more precise conservation of exploited marine species by protecting important genetic diversity3,4. Here, using genome-wide association analysis of a 12K single nucleotide polymorphism (SNP) array we confirm that an ancient, derived chromosomal rearrangement consisting of two adjacent inversions is strongly associated with migratory phenotype and individual-level genetic structure in Atlantic cod (Gadus morhua) across the Northwest Atlantic. The presence of all identified migration-associated loci within this rearrangement indicates that pervasive variation in migration phenotype is in part controlled by a recombination-resistant supergene, facilitating fine-scale individual phenotypic variation within Northern cod. Furthermore, we reconstruct trends in effective population size over the last century, and find genomic signatures of population collapse, and different patterns of population expansion and decline among individuals based on supergene alleles. We demonstrate declines in effective population size consistent with the onset of industrialized harvest (post 1950) and substantially reduced effective size of individuals homozygous for the derived chromosomal rearrangement relative to heterozygous individuals or those homozygous for the ancestral version of this chromosomal region. These results illustrate how chromosomal structural diversity can mediate fine-scale genetic and phenotypic variation in a highly connected marine species, and suggest a loss of biocomplexity from a migration-associated supergene within Northern cod by overfishing.

genomics

Dynamics of genomic change during evolutionary rescue in the seed beetle Callosobruchus maculatus

Rapid adaptation can be necessary to prevent extinction when populations are exposed to extremely marginal or stressful environments. Factors that affect the likelihood of evolutionary rescue from extinction have been identified, but much less is known about the evolutionary dynamics and genomic basis of successful evolutionary rescue, particularly in multicellular organisms. We conducted an evolve and resequence experiment to investigate the dynamics and repeatability of evolutionary rescue at the genetic level in the cowpea seed beetle, Callosobruchus maculatus, when it is experimentally shifted to a stressful host plant, lentil (Lens culinaris). Low survival (~ 1%) at the onset of the experiment caused population decline. But adaptive evolution quickly rescued the population with survival rates climbing to 69% by the F5 generation and 90% by the F10 generation. Population genomic data showed that rescue likely was caused by rapid evolutionary change at multiple loci, with many alleles fixing or nearly fixing within five generations of selection on lentil. By comparing estimates of selection across five lentil-adapted C. maculatus populations (two new sublines and three long-established lines), we found that adaptation to lentil involves a mixture of parallel and idiosyncratic evolutionary changes. Parallelism was particularly pronounced in sublines that were formed after the parent line had passed through an initial bottleneck. Overall, our results suggest that evolutionary rescue in this system is driven by very strong selection on a modest number of loci, and these results provide empirical evidence that ecological dynamics during evolutionary rescue cause distinct evolutionary trajectories and genomic signatures relative to adaptation in less stressful environments.\n\nImpact StatementEvolutionary adaptation is an ongoing process in most populations, but when populations occupy particularly stressful or marginal environments, adaptation can be necessary to prevent extinction. Adaptation that reverses demographic decline and allows for population persistence is termed evolutionary rescue. Evolutionary rescue can prevent species loss from climate change or other environmental stresses, but it can also thwart attempts to control or eradicate agricultural pests and pathogens. Many factors affect the likelihood of evolutionary rescue, but little is known about the underlying evolutionary dynamics, particularly molecular evolutionary changes in multicellular organisms. Here we use a powerful combination of experimental evolution and genomics to track the evolutionary dynamics and genomic outcomes of evolutionary rescue. We focus on the seed beetle Callosobruchus maculatus, which is both an agricultural pest and a convenient model system. We specifically examine how this species is able to persist on a novel and very poor crop host, lentil.\n\nWe show that evolution in an experimental seed beetle populations increases survival on lentil from ~1% to >80% in fewer than a dozen generations. This rapid adaptive evolutionary change at the trait (i.e., phenotypic) level was associated with equally rapid evolution at the molecular level, with some gene variants (i.e., alleles) showing frequency shifts of around 30% in a single generation. In contrast to most other experimental evolution studies in multicellular organisms (particularly Drosophila fruit flies), we find that gene variants at multiple loci rapidly fix, that is, reach a frequency of 100%, during adaptation to lentil. Our results suggest that the dynamics and genetics of adaptation to severe conditions could be distinct from adaptation under more benign conditions. By comparing outcomes of adaptation across multiple lines and sublines, we show that repeated rapid adaptation at the trait level does not necessarily involve the same evolutionary changes at the molecular level. This limited parallelism was likely driven by extreme population bottlenecks caused by low survival in the early generations on lentil. Indeed, evolutionary changes in sublines formed after recovery from a common bottleneck were highly parallel. This coupling of demographic (i.e., ecological) and evolutionary changes during evolutionary rescue may therefore limit the predictability of evolution. Because colonization of novel environments may often occur after a bottleneck, our results could be of general significance for understanding patterns of parallel (and non-parallel) evolutionary change in nature.

evolutionary biology

An integrative systems biology and experimental approach identifies convergence of epithelial plasticity, metabolism, and autophagy to promote chemoresistance

The evolution of therapeutic resistance is a major cause of death for patients with solid tumors. The development of therapy resistance is shaped by the ecological dynamics within the tumor microenvironment and the selective pressure induced by the host immune system. These ecological and selective forces often lead to evolutionary convergence on one or more pathways or hallmarks that drive progression. These hallmarks are, in turn, intimately linked to each other through gene expression networks. Thus, a deeper understanding of the evolutionary convergences that occur at the gene expression level could reveal vulnerabilities that could be targeted to treat therapy-resistant cancer. To this end, we used a combination of phylogenetic clustering, systems biology analyses, and wet-bench molecular experimentation to identify convergences in gene expression data onto common signaling pathways. We applied these methods to derive new insights about the networks at play during TGF-{beta}-mediated epithelial-mesenchymal transition in a lung cancer model system. Phylogenetics analyses of gene expression data from TGF-{beta} treated cells revealed evolutionary convergence of cells toward amine-metabolic pathways and autophagy during TGF-{beta} treatment. Using high-throughput drug screens, we found that knockdown of the autophagy regulatory, ATG16L1, re-sensitized lung cancer cells to cancer therapies following TGF-{beta}-induced resistance, implicating autophagy as a TGF-{beta}-mediated chemoresistance mechanism. Analysis of publicly-available clinical data sets validated the adverse prognostic importance of ATG16L expression in multiple cancer types including kidney, lung, and colon cancer patients. These analyses reveal the usefulness of combining evolutionary and systems biology methods with experimental validation to illuminate new therapeutic vulnerabilities.

cancer biology