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63 results for “genotype by environment interactions”
Using machine learning to integrate genetic and environmental data to model genotype-by-environment interactions
<p>Files generated from the study described in <a href="https://doi.org/10.1101/2024.02.08.579534">Fernandes et. al (2024)</a> .</p> <p>The file "cvs_h2s.csv" comprises the coefficient of variation and the Cullis heritability for each environment.</p> <p>The file "all_predictions.csv" contains the predictions from all the models evaluated, in different cross-validation (CV) scenarios.</p> <p>The file "coincidence_index.csv" has the Coincidence Index (CI) for each CV and models evaluated in our study.</p> <p>Our study used the multi-environment maize yield trials data from the Genomes to Fields 2022 initiative (<a href="https://doi.org/10.1186/s13104-023-06421-z">Lima et. al 2024</a>).</p>
Patch quality and genotype-by-environment interactions shape dispersal and post-settlement survival in a butterfly metapopulation
Active dispersal is driven by extrinsic and intrinsic factors at the three stages of departure, transfer, and settlement. Most empirical studies capture only one stage of this complex process, and knowledge of how much can be generalized from one stage to another remains unknown. Here we use genetic assignment tests to reconstruct dispersal across five years and 232 patches of a butterfly metapopulation. We link individual dispersal events to weather, landscape structure, size and quality of patches, and individual genotype to identify the factors that influence the three stages of dispersal and post-settlement survival. We found that nearly all tested factors strongly affected departure probabilities, but that the same factors explained very little variation in realized dispersal distances. Surprisingly, we found no effect of dispersal distance on post-settlement survival. Rather, survival was influenced by weather conditions, carry-over effects of natal patch quality, and a strong interaction between genotype and occupancy status of the settled patch, with more mobile genotypes having higher survival as colonists rather than as immigrants. Our work highlights the multicausality of dispersal and that some dispersal costs can only be understood by considering extrinsic and intrinsic factors and their interaction across the entire dispersal process.
Genotype-by-environment interaction in Corymbia citriodora (Hook.) K. D. Hill, & L. A. S. Johnson progeny test in Luiz Antonio, Brazil.
Corymbia citriodora is one of the most cultivated hardwood species by small farmers in Brazil, and the most traded wood on the east coast of Australia due its high growth rate combined with high wood density. The study of genotype-by-environment interaction (GEI) is one of the most critical elements in the management of a breeding program to define breeding zones and to select genetic material targeted to specific environmental conditions. The aim of this research was to estimate genetic parameters in a C. citriodora progeny tests, established using 56 open-pollinated families in three sites with contrasting soil texture within the Luiz Antônio's experimental station, Brazil. The following traits were measured at 30 years of age: total height, diameter at breast height (DBH), stem form and survival. Based on this data, the individual volume was estimated. The harmonic mean relative performance of genetic values (MHPRVG) predicted by BLUP was used to evaluate productivity, stability and adaptability. The GEI was found to be not significant in all growth traits. A complex GEI was detected only for survival, supporting the importance of choosing the right genetic material of the species to specific sites. The present analysis showed a significant difference between families for DBH, survival and volume. In summary, the material studied presents potential to obtain attractive genetic gains through selection. However, in order to keep these sustained gains over the next selection cycles it is necessary to incorporate new genetic materials in order to increase genetic diversity.
Data from: Genotype-by-environment interactions influence the composition of the Drosophila seminal proteome
<p>Ejaculate proteins are key mediators of post-mating sexual selection and sexual conflict, as they can influence both male fertilization success and female reproductive physiology. However, the extent and sources of genetic variation and condition dependence of the ejaculate proteome are largely unknown. Such knowledge could reveal the targets and mechanisms of post-mating selection and inform about the relative costs and allocation of different ejaculate components, each with its own potential fitness consequences. Here, we used liquid chromatography coupled with tandem mass spectrometry to characterize the whole-ejaculate protein composition across twelve isogenic lines of Drosophila melanogaster that were reared on a high- or low-quality diet. We discovered new proteins in the transferred ejaculate and inferred their origin in the male reproductive system. We further found that the ejaculate composition was mainly determined by genotype identity and genotype-specific responses to larval diet, with no clear overall diet effect. Nutrient restriction increased proteolytic protein activity and shifted the balance between reproductive function and RNA metabolism. Our results open new avenues for exploring the intricate role of genotypes and their environment in shaping ejaculate composition, or for studying the functional dynamics and evolutionary potential of the ejaculate in its multivariate complexity.</p>
Patch quality and genotype-by-environment interactions shape dispersal and post-settlement survival in a butterfly metapopulation
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Data from: Genotype-by-environment interactions influence the composition of the Drosophila seminal proteome
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The potential for genotype-by-environment interactions to maintain genetic variation in a model legume–rhizobia mutualism
<p>The maintenance of genetic variation in mutualism-related traits is key for understanding mutualism evolution, yet the mechanisms maintaining variation remain unclear. We asked whether genotype-by-environment (G×E) interaction is a potential mechanism maintaining variation in the model legume–rhizobia system, <em>Medicago truncatula–Ensifer meliloti</em>. We planted 50 legume genotypes in a greenhouse under ambient light and shade to reflect reduced carbon availability for plants. We found an expected reduction under shaded conditions for plant performance traits, such as leaf number, aboveground and belowground biomass, and a mutualism-related trait, nodule number. We also found G×E for nodule number, with ∼83% of this interaction due to shifts in genotype fitness rank order across light environments, coupled with strong positive directional selection on nodule number regardless of light environment. Our results suggest that G×E can maintain genetic variation in a mutualism-related trait that is under consistent positive directional selection across light environments.</p>
Supplementary data: Effect of genotype by environment interaction (GEI) analysis for potato tuber yield and their quality traits in organic multi-environment domains of Poland
<p>Climate and raw data supplementary to the related publication in the journal Agriculture (ISSN 2077-0472).</p>
Stage-specific genotype-by-environment interactions determine yield components in wheat
<p> </p> <p>The tables (climate_data.csv, and Yield_data.csv) include the recorded climatic and measured yield components data from multi-environment field trails (2014-2017). The table (soil_water_data.csv) presents the simulated water content for the experiments. The tables (Coefficients_data.csv, and multiple_regression_coefficients_data.csv) present the log p-values of comparing models M1, M2, and M3 and their coefficients. All the necessary information to read these datasets is provided in the table (read_me.csv). </p>
Phenotypic plasticity, heritability, and genotype-by-environment interactions in an insect dispersal polymorphism
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Genotype-environment interaction and the maintenance of genetic variation: an empirical study of Lobelia inflata (Campanulaceae)
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Genotype-environment interaction reveals varied developmental responses to unpredictable host phenology in a tropical insect
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The potential for genotype-by-environment interactions to maintain genetic variation in a model legume–rhizobia mutualism
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Data from: Lack of genotype-by-environment interaction suggests limited potential for evolutionary changes in plasticity in the eastern oyster, Crassostrea virginica
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Data from: Genotype and social environment influence female-female interactions in a non-social insect
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Genotype-environment interactions shape leaf functional traits of cacao in agroforests
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Data from: Proteomic analysis of barley mapping population subjected to drought identifies proteins with genotype×environment interaction and pQTLs
Drought is one of the major abiotic stresses negatively influencing crop yield and is a serious issue in modern agriculture. To achieve further substantial crop improvements in terms of drought resistance it is necessary to incorporate scientific results into breeding strategies. However, most of the data on plant drought responses arises mostly from small-scale studies and, therefore, its use in breeding programs is very limited. Here, we present the results of the large-scale proteomic analysis performed on barley recombinant inbred lines (RILs) and their parental genotypes subjected to drought, applied shortly before tillering. The conducted proteomic analyses enabled us to monitor drought-induced proteome changes in leaf and root tissue, and to identify proteins that responded to drought in a genotype-specific manner, for instance Rubisco activase, luminal binding protein, phosphoglycerate mutase, glutathione S-transferase, heat shock proteins as well as enzymes involved in phenylpropanoid biosynthesis. We also demonstrated feasibility of incorporating proteomic data resulting from large-scale study into genetic linkage analysis, which constitutes a fundament in biotechnology-driven breeding strategies.
Data from: Field measurements of genotype by environment interaction for fitness caused by spontaneous mutations in Arabidopsis thaliana
As the ultimate source of genetic diversity, spontaneous mutation is critical to the evolutionary process. The fitness effects of spontaneous mutations are almost always studied under controlled laboratory conditions rather than under the evolutionarily relevant conditions of the field. Of particular interest is the conditionality of new mutations - i.e., is a new mutation harmful regardless of the environment in which it is found? In other words, what is the extent of genotype-environment interaction for spontaneous mutations? We studied the fitness effects of 25 generations of accumulated spontaneous mutations in Arabidopsis thaliana in two geographically widely separated field environments, in Michigan and Virginia. At both sites, mean total fitness of MA lines exceeded that of the ancestors, contrary to the expected decrease in the mean due to new mutations but in accord with prior work on these MA lines. We observed genotype-environment interactions in the fitness effects of new mutations, such that the effects of mutations in Michigan were a poor predictor of their effects in Virginia and vice versa. In particular, mutational variance for fitness was much larger in Virginia compared to Michigan. This strong genotype-environment interaction would increase the amount of genetic variation maintained by mutation-selection balance.
Data from: Stage-specific genotype-by-environment interactions for cold and heat hardiness in Drosophila melanogaster.
Environments often vary across a life cycle, imposing fluctuating natural selection across development. Such fluctuating selection can drive evolutionary responses specific to distinct life-history stages. However, selection and genetic variation, phenotypic plasticity, and their interaction (GxE), as well as genetic correlation across development dictate stage-specific evolution. Thus, quantifying genetic covariance of fitness-related traits and plasticity across development is vital to determine whether stage-specific adaptation occurs in nature. Additionally, the interaction of genetic variation and environmental plasticity (GxE) may be stage-specific, leading to a 3-way interaction between genotype, environment, and development or GxDxE. To test for these patterns in a natural system, we exposed larvae and adults of Drosophila melanogaster isogenic lines derived from a natural population to extreme heat and cold after developmental acclimation to cool (18°C) and warm (25°C) conditions and measured genetic variance for thermal hardiness. We detected significant GxE that was specific to larvae and adults for cold and heat hardiness (GxDxE), but no significant genetic correlation across development for either trait at either acclimation temperature. However, cross-development phenotypic correlations for acclimation responses suggest that plasticity itself may be developmentally constrained, though rigorously testing this hypothesis requires more experimentation. In general, we find evidence for thermal niche adaptation across development as larvae are more heat-hardy while adults are more cold-hardy. These results illustrate the potential for stage-specific adaptation within a complex life cycle and highlight the importance of measuring traits at appropriate developmental stages and environmental conditions when predicting evolutionary responses to changing climates.
Data from: Evidence for selection-by-environment but not genotype-by-environment interactions for fitness-related traits in a wild mammal population
How do environmental conditions influence selection and genetic variation in wild populations? There is widespread evidence for selection-by-environment interactions (S*E), but we reviewed studies of natural populations estimating the extent of genotype-by-environment interactions (G*E) in response to natural variation in environmental conditions, and found that evidence for G*E appears to be rare within single populations in the wild. Studies estimating the simultaneous impact of environmental variation on both selection and genetic variation are especially scarce. Here, we used 24 years of data collected from a wild Soay sheep population to quantify how an important environmental variable, population density, impacts upon (1) selection through annual contribution to fitness and (2) expression of genetic variation, in six morphological and life-history traits: body weight; hind leg length; parasite burden; horn length; horn growth; and testicular circumference. Our results supported the existence of S*E: selection was stronger in years of higher population density in all traits apart from horn growth, with directional selection being stronger under more adverse conditions. Quantitative genetic models revealed significant additive genetic variance for body weight, leg length, parasite burden, horn length and testes size, but not for horn growth or our measure of annual fitness. However, random regression models found variation between individuals in their responses to the environment in only three traits, and did not support the presence of G*E for any trait. Our analyses of St Kilda Soay sheep data thus concurs with our cross-study review that, while natural environmental variation within a population can profoundly alter the strength of selection on phenotypic traits, there is less evidence for its effect on the expression of genetic variance in the wild.
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