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117 results for “Selection - Artificial”
Artificial selection for adult predation survival impacts life-history and morphology in guppies (Poecilia reticulata)
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Artificial size selection experiment reveals telomere length dynamics and fitness consequences in a wild passerine
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Data from: Evolution of cellular architecture and function of the hippocampus: Insights from the artificial selection experiment
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Artificial selection on cis-element of Abl contributes cocoon yield increase in domestic silkworm
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Data from: Artificial selection on sexual aggression: correlated traits and possible trade‐offs
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Data from: Pigmentation and fitness trade-offs through the lens of artificial selection
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Noise pollution and artificial light at night alter selection pressures on sexual signals in an urban adapter
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Data from: Genetic potential for changes in breeding systems: Predicted and observed trait changes during artificial selection for male and female allocation in a gynodioecious species
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Data from: Hybridization, natural selection and evolution of reproductive isolation: a 25-years survey of an artificial sympatric area between two mosquito sibling species of the Aedes mariae complex
Natural selection can act against maladaptive hybridization between co-occurring divergent populations leading to evolution of reproductive isolation among them. A critical unanswered question about this process that provides a basis for the theory of speciation by reinforcement, is whether natural selection can cause hybridization rates to evolve to zero. Here we investigated this issue in two sibling mosquitoes species, Aedes mariae and Ae. zammitii, that show post-mating reproductive isolation (F1 males sterile) and partial pre-mating isolation (different height of mating swarms) that could be reinforced by natural selection against hybridization. In 1986, we created an artificial sympatric area between the two species and sampled about 20,000 individuals over the following 25 years. Between 1986 to 2011, the composition of mating swarms and the hybridization rate between the two species were investigated across time in the sympatric area. Our results showed that Ae. mariae and Ae. zammitii have not completed reproductive isolation since their first contact in the artificial sympatric area. We have discussed the relative role of factors such as time of contact, gene flow, strength of natural selection, and biological mechanisms causing prezygotic isolation to explain the observed results.
Data from: Artificial selection sheds light on developmental mechanisms of limb elongation
Species diversity in limb lengths and proportions is thought to have evolved adaptively in the context of locomotor and habitat specialization, but the heritable cellular processes that drove this evolution within species are poorly understood. In this study, we take a novel "micro-evo-devo" approach, using artificial selection on relative limb length to amplify phenotypic variation in a population of mice, known as Longshanks, to examine the cellular mechanisms of postnatal limb development that contribute to intraspecific limb length variation. Cross-sectional growth data indicate that differences in bone length between Longshanks and random-bred controls are not due to prolonged growth, but to accelerated growth rates. Histomorphometric and cell proliferation assays on proximal tibial growth plates show that Longshanks' increased limb bone length is associated with an increased number of proliferative chondrocytes. In contrast, we find no differences in other growth plate cellular features known to underlie interspecific differences in limb bone size and shape, such as the rates of chondrocyte proliferation or the size and number of hypertrophic cells in the growth plate. These data suggest that small differences among individuals in the number of proliferating chondrocytes are a potentially important determinant of selectable intraspecific variation in individual limb bone lengths, independent of body size.
Data from: Scanning SNPs from a large set of expressed genes to assess the impact of artificial selection on the undomesticated genetic diversity of white spruce
A scan involving 1134 single-nucleotide polymorphisms (SNPs) from 709 expressed genes was used to assess the potential impact of artificial selection for height growth on the genetic diversity of white spruce. Two case populations of different sizes simulating different family selection intensities (K = 13% and 5%, respectively) were delineated from the Quebec breeding program. Their genetic diversity and allele frequencies were compared with those of control populations of the same size and geographic origin to assess the effect of increasing the selection intensity. The two control populations were also compared to assess the effect of reducing the sampling size. On one hand, in all pairwise comparisons, genetic diversity parameters were comparable and no alleles were lost in the case populations compared with the control ones, except for few rare alleles in the large case population. Also, the distribution of allele frequencies did not change significantly (P ≤ 0.05) between the populations compared, but ten and nine SNPs (0.8%) exhibited significant differences in frequency (P ≤ 0.01) between case and control populations of large and small sizes, respectively. Results of association tests between breeding values for height at 15 years of age and these SNPs supported the hypothesis of a potential effect of selection on the genes harboring these SNPs. On the other hand, contrary to expectations, there was no evidence that selection induced an increase in linkage disequilibrium in genes potentially affected by selection. These results indicate that neither the reduction in the sampling size nor the increase in selection intensity was sufficient to induce a significant change in the genetic diversity of the selected populations. Apparently, no loci were under strong selection pressure, confirming that the genetic control of height growth in white spruce involves many genes with small effects. Hence, selection for height growth at the present intensities did not appear to compromise background genetic diversity but, as predicted by theory, effects were detected at a few gene SNPs harboring intermediate allele frequencies.
Data from: Can interbreeding of wild and artificially propagated animals be prevented by using broodstock selected for a divergent life history?
Two strategies have been proposed to avoid negative genetic effects of artificially propagated individuals on wild populations: (i) integration of wild and captive populations to minimize domestication selection, and (ii) segregation of released individuals from the wild population to minimize interbreeding. We tested the efficacy of the strategy of segregation by divergent life history in a steelhead trout, Oncorhynchus mykiss system, where hatchery fish were selected to spawn months earlier than the indigenous wild population. Up to 80% of the naturally produced steelhead in any given year were hatchery-wild hybrids. The proportion of wild ancestry smolts and adults declined by 10 to 20% over the three generations since the beginning of the program, due to an increase in hybrids. Regression model selection analysis suggested that proportions of hybrid smolts and adults were positively correlated with the number of naturally spawning hatchery-produced adults. Furthermore, the proportion of smolt hybrids was higher in years with high stream discharge allowing hatchery fish to bypass the weir protecting wild spawning habitat. Divergent life history failed to prevent interbreeding when physical isolation was compromised following changes in environmental conditions, an inadequacy of the segregation strategy that is likely to prevail in many other situations.
Data from: Artificial selection on reproductive timing in hatchery salmon drives a phenological shift and potential maladaptation to climate change
The timing of breeding migration and reproduction links generations and substantially influences individual fitness. In salmonid fishes, such phenological events (seasonal return to fresh water and spawning) vary among populations but are consistent among years, indicating local adaptation in these traits to prevailing environmental conditions. Changing reproductive phenology has been observed in many populations of salmonids, and is sometimes attributed to adaptive responses to climate change. The sockeye salmon spawning in the Cedar River near Seattle, Washington have displayed dramatic changes in spawning timing over the past 50 years, trending later through the early 1990s, and becoming earlier since then. We explored the patterns and drivers of these changes using generalized linear models and mathematical simulations to identify possible environmental correlates of the changes, and test the alternative hypothesis that hatchery propagation caused inadvertent selection on timing. The trend toward later spawning prior to 1993 was partially explained by environmental changes, but the advance in spawning since was not. Instead, since its initiation in 1991 the hatchery has, on average, selected for earlier spawning, and, depending on trait heritability, could have advanced spawning by 1-3 weeks over this period. We estimated heritability of spawning date to be high (h2 ~ 0.8; 95% CI: 0.5-1.1), so the upper end of this range is not improbable, though at lower heritabilities a smaller effect would be expected. The lower reproductive success of early spawners and relatively low survival of early emerging juveniles observed in recent years suggest that artificial and natural selection are acting in opposite directions. The fitness costs of early spawning may be exacerbated by future warming, thus artificially advanced phenology could reduce the population's productivity. Such artificial selection is known in many salmon hatcheries, so there are broad consequences for the productivity of wild populations comingled with hatchery produced fish.
Data from: Artificial selection reveals high genetic variation in phenology at the trailing edge of a species range
Species' responses to climate change depend on the interplay of migration and adaptation, yet we know relatively little about the potential for adaptation. Genetic adaptations to climate change often involve shifts in the timing of phenological events such as flowering. If populations at the edge of a species' range have lower genetic variation in phenological traits than central populations, then their persistence under climate change could be threatened. To test this hypothesis, we performed artificial selection experiments using the scarlet monkeyflower (Mimulus cardinalis) and compared genetic variation in flowering time among populations at the latitudinal center, northern edge, and southern edge of the species' range. We also assessed whether selection on flowering time yielded correlated responses in functional traits, potentially representing a cost associated with early or late flowering. Contrary to prediction, southern populations exhibited greater responses to selection on flowering time than central or northern populations. Further, selection for early flowering resulted in correlated increases in specific leaf area and leaf nitrogen, whereas selection for late flowering led to decreases in these traits. These results provide critical insights about how spatial variation in the potential for adaptation may affect population persistence under changing climates.
Data from: Reversal of response to artificial selection on body size in a wild passerine
A general assumption in quantitative genetics is the existence of an intermediate phenotype with higher mean individual fitness in the average environment than more extreme phenotypes. Here we investigate the evolvability and presence of such a phenotype in wild bird populations from an eleven-year experiment with four years of artificial selection for long and short tarsus length, a proxy for body size. The experiment resulted in strong selection in the imposed directions. However, artificial selection was counteracted by reduced production of recruits in offspring of artificially selected parents. This resulted in weak natural selection against extreme trait values. Significant responses to artificial selection were observed at both the phenotypic and genetic level, followed by a significant return towards pre-experimental means. During artificial selection, the annual observed phenotypic response closely followed the predicted response from quantitative genetic theory (ryear = 0.96, rcohorts = 0.56). The rapid return to pre-experimental means was induced by three interacting mechanisms: selection for an intermediate phenotype, immigration and recombination between selected and unselected individuals. The results of this study demonstrates the evolvability of phenotypes and that selection may favour an intermediate phenotype in wild populations.
Brain size, gut size and cognitive abilities: the energy trade-offs tested in artificial selection experiment
<p>The enlarged brains of homeotherms bring behavioural advantages, but also incur high energy expenditures. The 'Expensive Brain' (EB) hypothesis posits that the energetic costs of the enlarged brain and the resulting increased cognitive abilities (CA) were met either by increased energy turnover or reduced allocation to other expensive organs, such as the gut.</p> <p><span>We tested the EB hypothesis by analyzing correlated responses to selection in an experimental evolution model system, which comprises line types of laboratory mice selected for high or low basal (BMR), or high maximum (VO<sub>2max</sub>) metabolic rates. The traits are implicated in the evolution of homeothermy, having been pre-requisites for the encephalisation and exceptional CA of mammals, including humans.<i> </i>High-BMR mice had bigger guts, but not brains, than mice of other line types. Yet, they were superior to the other line types in the cognitive tasks carried out in both reward and avoidance learning contexts. Furthermore, the high-BMR mice had higher neuronal plasticity (indexed as the long-term potentiation, LTP) than their counterparts. Our data indicate that the evolutionary increase of CA in mammals was initially associated with increased BMR and brain plasticity. It was also fueled by an enlarged gut, which was not traded off for brain size.</span></p>
Data from: Responses to artificial selection for locomotor activity: A focus on death feigning in red flour beetle
<p>Whole-organism performance, including locomotor activity, is an important fitness trait in many animals. Locomotor activity is often classified into sprint speed and locomotor endurance and differences in sprint speed and locomotor endurance affect on other traits such as life-history traits. Previous studies found that locomotor endurance, sprint speed, and brain dopamine (DA) levels are correlated with artificial selection for death-feigning (an anti-predator behavior that we refer to as "death-feigning syndrome") in some insect species. Thus, if the syndrome has a genetic basis, death feigning, sprint speed, and brain DA levels may be affected by artificial selection for locomotor endurance. We artificially selected for locomotor endurance over 10 generations in the red flour beetle <em>Tribolium castaneum</em>, and established higher (H) and lower activity (L) strains, then compared their death-feigning behavior, sprint speed, and brain DA levels. H-strain beetles exhibited significantly shorter duration of death-feigning, and significantly higher sprint speed, suggesting variation in death-feigning syndrome. Surprisingly, although brain DA expression affects various animal behaviors, we found no significant differences in the brain DA expressions of H- and L-strain beetles. Thus, our results imply genetic correlations between locomotor endurance, sprint speed, and death feigning, but not with brain DA expression, suggesting that differences in the biogenic amine results of our previous studies may reflect differences in behavioral expression mechanisms.</p>
Data from: Intense selective hunting leads to artificial evolution in horn size
The potential for selective harvests to induce rapid evolutionary change is an important question for conservation and evolutionary biology, with numerous biological, social and economic implications. We analyze 39 years of phenotypic data on horn size in bighorn sheep (Ovis canadensis) subject to intense trophy hunting for 23 years, after which harvests nearly ceased. Our analyses revealed a significant decline in genetic value for horn length of rams, consistent with an evolutionary response to artificial selection on this trait. The probability that the observed change in male horn length was due solely to drift is 9.9%. Female horn length and male horn base, traits genetically correlated to the trait under selection, showed weak declining trends. There was no temporal trend in genetic value for female horn base circumference, a trait not directly targeted by selective hunting and not genetically correlated with male horn length. The decline in genetic value for male horn length stopped, but was not reversed, when hunting pressure was drastically reduced. Our analysis provides support for the contention that selective hunting led to a reduction in horn length through evolutionary change. It also confirms that after artificial selection stops, recovery through natural selection is slow.
Artificial waterhole type selection data for elephant and rhino
<p><span>Artificial water provisioning occurs in southern African nature reserves, with different game species preferring specific waterhole types. Movement patterns and behaviour of elephant and rhino are associated with water availability. These mega-herbivores affect the environment and species they encounter, especially at waterholes which are focal points for congregation and interaction. Understanding artificial waterhole type preferences is important, particularly during times of water shortage, allowing managers to manipulate numbers and types of waterholes. This study investigates elephant and rhino use of waterholes in the Olifants West Nature Reserve, South Africa. Waterhole types in the study area are earth dams, concrete pans, reservoirs and troughs. Visitation frequency, proportion of visits, time visited, and variables affecting frequency of visits were investigated using camera traps. Findings indicated that elephants preferred reservoirs, black rhino preferred earth dams, and white rhino preferred troughs. Different social groupings had distinct preferences for different waterhole types. Elephant breeding herds preferred reservoirs, while bachelor groups avoided them and preferred earth dams. Black and white rhino bachelor groups preferred troughs, and cows and bull-and-cow groups preferred earth dams. Data from this study will facilitate implementation of efficient conservation plans for existing areas containing the study species, and for potential release sites. </span></p> <p>artificial waterhole use</p>
Fitness costs and benefits in response to artificial artesunate selection in Plasmodium
<p>The file contains the raw data from the experiments.</p> <p>The tabs are as follows:</p> <p>"EX1_Bird data" contains all the data in Experiment 1 (Experiments are clearly labelled in the manuscript)</p> <p>"EX2_Mosquito parasitaemia" contains the quantification of oocysts n Experiment 2</p> <p>"EX2_Mosquito_lht" contains the quantification of mosquito life history traits in Experiment 2</p> <p>"EX3_Mosquito parasite dynamics" contains the quantification of oocysts and sporozoites over several days carried out in Experiment 3</p> <p>The column names are self-explanatory</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.