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158 results for “evolution of plasticity”
Data from: Evolution and plasticity: divergence of song discrimination is faster in birds with innate song than in song learners in Neotropical passerine birds
Plasticity is often thought to accelerate trait evolution and speciation. For example, plasticity in birdsong may partially explain why clades of song learners are more diverse than related clades with innate song. This "song learning" hypothesis predicts that 1) differences in song traits evolve faster in song learners, and 2) behavioral discrimination against allopatric song (a proxy for premating reproductive isolation) evolves faster in song learners. We tested these predictions by analyzing acoustic traits and conducting playback experiments in allopatric Central American sister pairs of song learning oscines (N = 42) and non-learning suboscines (N = 27). We found that non-learners evolved mean acoustic differences slightly faster than did leaners, and that the mean evolutionary rate of song discrimination was 4.3 times faster in non-learners than in learners. This unexpected result may be a consequence of significantly greater variability in song traits in song learners (by 54–79%) that requires song-learning oscines to evolve greater absolute differences in song before achieving the same level of behavioral song discrimination as non-learning suboscines. This points to "a downside of learning" for the evolution of species discrimination, and represents an important example of plasticity reducing the rate of evolution and diversification by increasing variability.
The evolution of plasticity in brain morphology following colonization of an ecologically divergent habitat in Trinidadian guppies
<p>Natural environments are constantly changing. To survive, organisms will either need to rapidly adapt to new conditions or colonize new habitats. Colonization has been hypothesized to select for increased plasticity as well as increased brain size, though empirical tests of these effects have proven difficult to evaluate. In particular, the degree to which plasticity of brain morphology can evolve, and its subsequent ecological consequences have rarely been explored. Trinidadian guppies (<em>Poecilia reticulata</em>) are known for their repeated adaptation to ancestral high-predation (HP) and derived low-predation (LP) environments. We used this system to examine the evolution and plasticity of brain morphology. We exposed second-generation offspring of individuals collected from HP and LP sites to two different kinds of environmental treatments: predation cues and conspecific social environment. We found that guppies descended from a colonized LP habitat showed greater plasticity in brain morphology than descendants of their ancestral HP population, supporting the hypothesis that plasticity of brain morphology may increase fitness after colonization of a novel habitat. Additionally, we show sexual dimorphism in brain morphology plasticity. Overall, these results suggest the evolution of brain morphology plasticity as an important mechanism that allows for ecological diversification and colonization of novel habitats.</p>
Comparative analysis of phenotypic plasticity sheds light on the evolution and molecular underpinnings of locust phase polyphenism
<p>Locusts exhibit one of nature's most spectacular examples of complex phenotypic plasticity, in which changes in density cause solitary and cryptic individuals to transform into gregarious and conspicuous locusts forming large migrating swarms. We investigated how these coordinated alternative phenotypes might have evolved by studying the Central American locust and three closely related non-swarming grasshoppers in a comparative framework. By experimentally isolating and crowding during nymphal development, we induced density-dependent phenotypic plasticity and quantified the resulting behavioural, morphological, and molecular reaction norms. All four species exhibited clear plasticity, but the individual reaction norms varied among species and showed different magnitudes. Transcriptomic responses were species-specific, but density-responsive genes were functionally similar across species. There were modules of co-expressed genes that were highly correlated with plastic reaction norms, revealing a potential molecular basis of density-dependent phenotypic plasticity. These findings collectively highlight the importance of studying multiple reaction norms from a comparative perspective.</p>
Mimulus cardinalis plasticity analyses and R scripts for: Spatial variation in high temperature-regulated gene expression predicts evolution of plasticity with climate change in the scarlet monkeyflower
<p>A major way that organisms can adapt to changing environmental conditions is by evolving increased or decreased phenotypic plasticity. In the face of current global warming, more attention is being paid to the role of plasticity in maintaining fitness as abiotic conditions change over time. However, given that temporal data can be challenging to acquire, a major question is whether evolution in plasticity across space can predict adaptive plasticity across time. In growth chambers simulating two thermal regimes, we generated transcriptome data for western North American scarlet monkeyflowers (<i>Mimulus cardinalis</i>) collected from different latitudes and years (2010 and 2017) to test hypotheses about how plasticity in gene expression is responding to increases in temperature, and if this pattern is consistent across time and space. Supporting the genetic compensation hypothesis, individuals whose progenitors were collected from the warmer-origin northern 2017 descendant cohort showed lower thermal plasticity in gene expression than their cooler-origin northern 2010 ancestors. This was largely due to a change in response at the warmer (40ºC) rather than cooler (20ºC) treatment. A similar pattern of reduced plasticity, largely due to a change in response at 40ºC, was also found for the cooler-origin northern versus the warmer-origin southern population from 2017. Our results demonstrate that reduced phenotypic plasticity can evolve with warming and that spatial and temporal changes in plasticity predict one another.</p>
Interactive VISION reports for "KP-Tracer Tumors from study "Lineage Recording Reveals the Phylodynamics, Plasticity and Paths of Tumor Evolution"
<p>This repository contains VISION reports for the KP-Tracer tumors described in the manuscript "Lineage Recording Reveals the Phylodynamics, Plasticity, and Paths of Tumor Evolution" (Yang*, Jones*, et al <em>bioRxiv</em> 2021).</p> <p>In this study, single-cell lineage tracing was performed in the <em>KP</em> autochthonous mouse model of non-small-cell lung cancer. Tumors were initiated with <em>Cre</em> recombinase (and optionally an additional gRNA targeting the other well-studied tumor suppressors) and allowed to grow for approximately 4-6 months at which point mice were sacrificed and tumors harvested. After purifying cancer cells by fluorescent markers, cells were profiled with the 10X chromium platform and four libraries were collected: a single-cell transcriptome library, a single-cell lineage tracing library, a single-cell multiplexing library, and a single-cell lenti-barcode library (used for confirming the clonality of tumors). Data was processed using the 10X Cellranger suite and custom pipelines as described in the manuscript above.</p> <p>For interactive work with these objects, users must first install VISION from Github (https://github.com/YosefLab/VISION) and then launch these reports either locally or on a server. For detailed instructions on how to launch reports, and create new reports for additional clones, please view our tutorials in our public reproducibility repository at https://github.com/mattjones315/KPTracer-release. </p>
Processed data for KP-Tracer Tumors from study "Lineage Recording Reveals the Phylodynamics, Plasticity and Paths of Tumor Evolution"
<p>This repository contains processed data associated with the manuscript "Lineage Recording Reveals the Phylodynamics, Plasticity, and Paths of Tumor Evolution" (Yang*, Jones*, et al <em>bioRxiv</em> 2021).</p> <p>In this study, single-cell lineage tracing was performed in the <em>KP</em> autochthonous mouse model of non-small-cell lung cancer. Tumors were initiated with <em>Cre</em> recombinase (and optionally an additional gRNA targeting the other well-studied tumor suppressors) and allowed to grow for approximately 4-6 months at which point mice were sacrificed and tumors harvested. After purifying cancer cells by fluorescent markers, cells were profiled with the 10X chromium platform and four libraries were collected: a single-cell transcriptome library, a single-cell lineage tracing library, a single-cell multiplexing library, and a single-cell lenti-barcode library (used for confirming the clonality of tumors). Data was processed using the 10X Cellranger suite and custom pipelines as described in the manuscript above. </p> <p>Data here represents the derived processed data from our analysis. The specific contents are described in a README contained within the repository.</p> <p>Briefly, however, we have provided here processed AnnData objects for the KP data (sgNT) and the integrated data across three genotypes (KP, KPA, and KPL). We also provide the gene lists associated with fitness, expansion annotations for each tree, as well as plasticity scores amongst other items. </p> <p>For code used in this study, we additionally have provided a reproducibility repository at https://github.com/mattjones315/KPTracer-release. </p>
Thermal plasticity and evolution shape predator-prey interactions differently in clear and turbid water
<p>Warming and eutrophication negatively affect freshwater ecosystems by modifying trophic interactions and increasing water turbidity. We need to consider their joint effects on predator-prey interactions, and how these depend on the thermal evolution of both predator and prey.</p> <p>We quantified how 4°C warming and algae-induced turbidity (that integrates turbidity per se and increased food for zooplankton prey) affect functional response parameters and prey population parameters in a common-garden experiment. We did so for all combinations of high- and low-latitude predator (damselfly larvae) and prey (water fleas) populations to assess the potential impact of thermal evolution of predators and/or prey at a high latitude under warming using a space-for-time substitution. We then modelled effects on the system stability (i.e. tendency to oscillate) under different warming, turbidity and evolutionary scenarios.</p> <p>Warming and turbidity had little effect on the functional response parameters of high-latitude predators. In contrast, warming and turbidity reduced the handling times of low-latitude predators. Moreover, warming increased the search rates of low-latitude predators in clear water but instead decreased these in turbid water.</p> <p>Warming increased stability (i.e. prevented oscillations) in turbid water (except for the "high-latitude predator & high-latitude prey" system), mainly by decreasing the prey's carrying capacity and partly also by decreasing search rates, while it did not affect stability in clear water. Algae-induced turbidity generally decreased stability, mainly by increasing the prey's carrying capacity and partly also by increasing search rates. This resembles findings that nutrient enrichment can reduce the stability of trophic systems. The expected stability of the high-latitude trophic system under warming was dependent on the turbidity level: our results suggest that thermal plasticity tends to destabilize the high-latitude trophic system under warming in clear water but not in turbid water, and that thermal evolution of the predator will stabilize the high-latitude system under warming in turbid water but less so in clear water.</p> <p>The extent to which thermal plasticity and evolution shape trophic system stability under warming may strongly differ between clear and turbid water bodies, with their contributions having a more stabilizing role in turbid water.</p>
Rapid evolution of thermal tolerance and phenotypic plasticity in variable environments
<p>These are the data and code to go with "<strong>Rapid evolution of thermal tolerance and phenotypic plasticity in variable environments</strong>"</p> <p><strong>Figure 01 takes the following data/scripts:</strong></p> <p><a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/20210610_Thally02_Figure01_plot_and_stats.R">20210610_Thally02_Figure01_plot_and_stats.R </a> with <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/track_keeper.csv">track_keeper.csv </a> and <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/corr_Response%20growth%20.csv">corr_Response growth .csv </a>. These files contain growth rates per transfers for all selection environments throughout the experiment and growth rates in correlated environments during reciprocal transplants, respectively. </p> <p><strong>Figure 02 takes the following data/scripts:</strong></p> <p> </p> <p><a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/20210610_Thally02_Figure02_plot_and_stats.R">20210610_Thally02_Figure02_plot_and_stats.R </a> with <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/20161120_res_logis_t000.csv">20161120_res_logis_t000.csv </a>and <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/20161123_resloglint300.csv">20161123_resloglint300.csv .</a> These files contain the output of the shapes of the growth curves (i.e. information on lag time , growth at µmax, K etc) for all samples in all selection environments at t0 and t300, respectively</p> <p><strong>The remaining figures - position not clear at time of submission - take the following data/script. </strong></p> <p>For plasticity in FRRF data, the script 20181204_FRRF_plasticity.R takes the FRRF raw data contained in <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/allfvfmdata_thally_t300_t000.csv">allfvfmdata_thally_t300_t000.csv </a>. Extracted parameters are in files <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/CvaluesThally02.csv">CvaluesThally02.csv</a>, <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/psiPSI_slope_intercept.csv">psiPSI_slope_intercept.csv</a>, and <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/rP_extracted_values.csv">rP_extracted_values.csv </a> and can be analysed using the R script <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/extracted%20parameter%20plots.R">extracted parameter plots.R .</a> R script <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/FRRF%20visualisation%20only%20.R">FRRF visualisation only .R </a> is for visualisation only, as the title suggests. </p> <p>For comparing plasticity/growth , the data are in <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/20170327_giantbigtable.csv">20170327_giantbigtable.csv </a>, and can be visualised/analysed in <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/plast%20vs%20growth.R">plast vs growth.R </a></p> <p>In order to recreate the AMOVAS based on SNVs, use <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/all_variants_fixed-only_using_5x_depth_threshold.csv?versionId=01cbf6bf-fe16-4e7d-aae8-58c527596ebb">all_variants_fixed-only_using_5x_depth_threshold.cvs </a> with <a href="https://zenodo.org/api/files/cc14086e-84ed-4a13-b2d4-cf3cda0d669f/amova%20thally02.R?versionId=e9c21378-ee37-4418-9ce1-76db821e645a">amova thally02.R </a></p> <p>For additional information, please contact elisa.schaum@uni-hamburg.de </p>
Evolution of sex allocation plasticity in a hermaphroditic flatworm genus
<p>Sex allocation theory in simultaneous hermaphrodites predicts that optimal sex allocation is influenced by local sperm competition, which occurs when related sperm compete to fertilize a given set of eggs. Different factors, including the mating strategy and the ability to self-fertilize, are predicted to affect local sperm competition and hence the optimal SA. Moreover, since the local sperm competition experienced by an individual can vary temporally and spatially, this can favour the evolution of sex allocation plasticity. Here, using seven species of the free-living flatworm genus <em>Macrostomum</em>, we document interspecific variation in sex allocation, but neither their mating strategy nor their ability to self-fertilize significantly predicted sex allocation among these species. Since we also found interspecific variation in sex allocation plasticity, we further <span>estimated standardized effect sizes for plasticity in response to i) the presence of mating partners </span>(i.e. in isolation vs. with partners) <span>and ii) the strength of </span>local sperm competition (i.e. in small vs. large groups). We found that self-fertilization predicted sex allocation plasticity with respect to the presence of <span>mating partners, with </span>plasticity<span> being lower for self-fertilizing species. Finally, we showed that interspecific variation in </span>sex allocation is higher than intraspecific variation due to sex allocation plasticity. Our study suggests that both sex allocation and sex allocation plasticity are evolutionarily labile, with self-fertilization predicting the latter in <em>Macrostomum</em>.</p>
Plasticity and associated epigenetic mechanisms play a role in thermal evolution during range expansion
<p>Due to global change many species are shifting their distribution and are thereby confronted with novel thermal conditions at the moving range edges. <span>Especially during the initial phases of exposure to a new environment, it has been hypothesized that plasticity and associated epigenetic mechanisms enable species to cope with environmental change.</span> We tested this idea by capitalizing on the well-documented southward range expansion of the damselfly Ischnura elegans from France into Spain where the species has invaded warmer regions in the 1950s in eastern Spain (old edge region) and in the 2010s in central Spain (new edge region). Using a common garden experiment at rearing temperatures matching the ancestral and invaded thermal regimes, we tested for evolutionary changes in (thermal plasticity in) larval life history and heat tolerance in these expansion zones. Through the use of de- and hypermethylating agents we tested whether epigenetic mechanisms play a role in enabling heat tolerance during expansion. We used the phenotype of the native sister species in Spain, I. graellsii, as proxy for the locally adapted phenotype. New edge populations converged towards the phenotype of the native species through plastic thermal responses in life history and heat tolerance while old edge populations (partly) constitutively evolved a faster life history and higher heat tolerance than the core populations, thereby matching the native species. Only the heat tolerance of new edge populations increased significantly when exposed to the hypermethylating agent. This suggests that the DNA methylation machinery is more amenable to perturbation at the new edge and shows it is able to play a role in achieving a higher heat tolerance. Our results show that both (evolved) plasticity as well as associated epigenetic mechanisms are initially important when facing new thermal regimes but that their importance diminishes with time.</p>
Data for "Testing for variation in photoperiodic plasticity in a butterfly: inconsistent effects of circadian genes between geographic scales" (Ecology and Evolution, accepted manuscript)
<p>Raw data and analysis scripts belonging to <em>Testing for variation in photoperiodic plasticity in a butterfly: inconsistent effects of circadian genes between geographic scales</em> (Ecology and Evolution, accepted manuscript).</p> <p>Includes data from a photoperiodic assay with larvae of the speckled wood butterfly, <em>Pararge aegeria</em>, as well as a small bioinformatic analysis of SNP variation in two circadian candidate genes.</p> <p>List of files:</p> <table> <tbody> <tr> <td>statistics_and_figures.R</td> <td>Statistical analysis of phenotyping experiment; drawing figures</td> </tr> <tr> <td>variant_calling.sh</td> <td>Shell script for mapping sequencing reads; calling and tabulating SNPs</td> </tr> <tr> <td>experiment_diapause.txt</td> <td>Data from phenotyping experiment, for analysis of diapause induction</td> </tr> <tr> <td>experiment_larval</td> <td>Data from phenotyping experiment, for analysis of larval development</td> </tr> <tr> <td>snptable_timeless</td> <td>Tabulated allele frequencies for exonic SNPs in timeless</td> </tr> <tr> <td>snptable_period</td> <td>Tabulated allele frequencies for exonic SNPs in period</td> </tr> </tbody> </table>
Phylogenetic patterns of trait and trait plasticity evolution: Insights from tadpoles
<p>Environmental heterogeneity has led to widespread evolution of phenotypic plasticity in all taxonomic groups. Although phenotypic plasticity has been examined from multiple perspectives, few studies have examined evolutionary patterns of plasticity within a phylogeny. We conducted common-garden experiments on 20 species of tadpoles, spanning three families, exposed for 4 weeks to a control, predator cues, or reduced food (i.e., increased intraspecific competition). We quantified tadpole activity, growth, and relative morphology and found widespread differences in species responses to predator cues and reduced food. We detected pervasive phylogenetic signals in traits within each environment, but phylogenetic signal was much less common in the trait plasticities. Among different models of continuous character evolution, Brownian Motion and Ornstein Uhlenbeck models provided better fits to the data than the Early Burst model. Tadpole activity level in predator environments had much higher evolutionary rates than in the control and reduced-food environments; we did not see this pattern in the other traits. In comparing traits versus trait plasticities, activity evolved much faster than the plasticity of activity whereas morphological traits evolved much slower than morphological plasticities . Collectively, these results suggest that traits and trait plasticities can exhibit dramatically different evolutionary patterns.</p>
Within-generation and transgenerational social plasticity interact during rapid adaptive evolution
<p>The effects of within-generation plasticity versus transgenerational plasticity on trait expression are poorly understood, but important for evaluating plasticity's evolutionary consequences. We tested how genetics, within-generation plasticity, and transgenerational plasticity jointly shape traits influencing rapid evolution in the field cricket <em>Teleogryllus oceanicus</em>. In Hawaiian populations attacked by acoustically-orienting parasitoid flies, a protective, X-linked variant ("<em>flatwing</em>") eliminates male acoustic sexual signals. Silent males rapidly spread to fixation, dramatically changing the acoustic environment. First, we found evidence supporting <em>flatwing</em>-associated pleiotropy in juveniles: pure-breeding <em>flatwing</em> males and females exhibit greater locomotion than those with <em>normal-wing</em> genotypes. Second, within-generation plasticity caused homozygous-<em>flatwing</em> females developing in silence, which mimics all-<em>flatwing</em> populations, to attain lower adult body condition and reproductive investment than those experimentally exposed to song. Third, maternal song exposure caused transgenerational plasticity in offspring, affecting adult, but not juvenile, size, condition, and reproductive investment. This contrasted with behavioral traits, which were only influenced by within-generation plasticity. Fourth, we matched and mismatched maternal and offspring social environments and found that transgenerational plasticity sometimes interacted with within-generation plasticity and sometimes opposed it. Our findings stress the importance of evaluating the plasticity of different traits and stages across generations when evaluating their fitness consequences and role in adaptation.</p>
Data and code from: Experimental evolution of environmental tolerance, acclimation, and physiological plasticity in a randomly fluctuating environment
<p>Environmental tolerance curves, representing absolute fitness against the environment, are an empirical assessment of the fundamental niche, and emerge from the phenotypic plasticity of underlying phenotypic traits. Dynamic plastic responses of these traits can lead to acclimation effects, whereby recent past environments impact current fitness. Theory predicts that higher levels of phenotypic plasticity should evolve in environments that fluctuate more predictably, but there have been few experimental tests of these predictions. Specifically, will still lack experimental evidence for evolution of acclimation effects in response to environmental predictability. Here, we exposed 25 genetically diverse populations of the halotolerant microalgae Dunaliella salina to different constant salinities, or to randomly fluctuating salinities, for over 200 generations. The fluctuating treatments differed in their autocorrelation, which determines the similarity of subsequent values, and thus environmental predictability. We then measured acclimated tolerance surfaces, mapping population growth rate against past (acclimation) and current (assay) environments. We found that experimental mean and variance in salinity caused the evolution of niche position (optimal salinity) and breadth, with respect to not only current but also past (acclimation) salinity. We also detected weak but significant evidence for evolutionary changes in response to environmental predictability, with higher predictability leading notably to an upwards shift in optimal salinities and stronger acclimation effect of past environment on current fitness. We further showed that these responses are related to the evolution of plasticity for intracellular glycerol, the major osmoregulatory mechanism in this species. However the direction of plasticity evolution did not match simple theoretical predictions. Our results underline the need for a more explicit consideration of the dynamics of environmental tolerance and its underlying plastic traits to reach a better understanding of ecology and evolution in fluctuating environments.</p>
Exploring links between climatic predictability and the evolution of within- and transgenerational plasticity
<p>In variable environments, phenotypic plasticity can increase fitness by providing tight environment-phenotype matching. However, adaptive plasticity is expected to evolve only when the future selective environment can be predicted based on the prevailing conditions. That is, the juvenile environment should be predictive of the adult environment (within-generation plasticity) or the parental environment should be predictive of the offspring environment (transgenerational plasticity). Moreover, environmental predictability can also shape transient responses such as stress responses in an adaptive direction. Here, we test links between environmental predictability and the evolution of adaptive plasticity by combining time series analyses and a common garden experiment using temperature as a stressor in a temperate butterfly (Melitaea cinxia). Time series analyses revealed that across-season fluctuations in temperature over 48 years are overall predictable. However, within the growing season, temperature fluctuations showed high heterogeneity across years with low autocorrelations and the timing of temperature peaks was asynchronous. Most life-history traits showed strong within-generation plasticity for temperature and traits such as body size and growth rate broke the temperature-size rule. Evidence for transgenerational plasticity, however, was weak and detected for only two traits each in an adaptive and non-adaptive direction. We suggest that the low predictability of temperature fluctuations within the growing season likely disfavours the evolution of adaptive transgenerational plasticity but instead favours strong within-generation plasticity.</p>
Data from: Phenotypic plasticity of antibiotic resistance, metabolism byproduct utilization and the evolution of mutually beneficial cooperation in Escherichia coli
<p><span>Although tag-based donation and recognition have well explained how the cooperative individuals are positively assorted if the cooperative individuals possess some signals and are also able to detect such signals, an additional mechanism is required to explain why some individuals pay the costs of evolving such a tag that may not be rewarded subsequently, and how such tag-based cooperative individuals will meet other similar individuals with a very low mutation rate. Here, we show that many and even all<em> Escherichia coli </em>bacteria cells in the increased antibiotic concentration will plastically evolve to be antibiotic resistant individuals who could protect antibiotic sensitive strain from the attack of antibiotics, and the antibiotic resistant strain could reversibly evolve to be antibiotic sensitive in non-antibiotic supplement medium but in a harsher environment with low glucose. A further experiment showed that antibiotic-sensitive <em>E. coli </em>strain could in turn help reduce the concentration of indole produced by the resistant strain. This metabolic product is harmful to the growth of the antibiotic-resistant strain but benefits the antibiotic-sensitive strain by helping turn on the multi-drug exporter to discharge the antibiotic. The utilization of metabolism byproduct indole produced by antibiotic-resistant cells benefits antibiotic-sensitive cells, while the indole-absorbing service of antibiotic sensitive cells unconsciously help in nullifying the indole side effect on antibiotic resistant strain, and a mutual benefit cooperation could therefore evolve.</span></p>
Data from: Evolution of cold tolerance and thermal plasticity in life history, behaviour and physiology during a poleward range expansion
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Within-generation and transgenerational social plasticity interact during rapid adaptive evolution
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Data from: An experimental investigation of how intraspecific competition and phenotypic plasticity can promote the evolution of novel, complex phenotypes
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Data from: Non-parallel impacts of predators on the evolution of colouration plasticity in Trinidadian killifish
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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