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2,291 results for “life history”
Figure 10 in Tortoise beetles of an Atlantic Forest remnant in south Minas Gerais, Brazil: host plants and life history
Figure 10. Host plants of Cassidinae. Asteraceae: (a) Baccharis crispa. Unidentified species of (b) Bignoniaceae and (c) Boraginaceae. Convolvulaceae: (d-e) Ipomoea batatas, (f) Ipomoea cairica.
Figure 13 in Tortoise beetles of an Atlantic Forest remnant in south Minas Gerais, Brazil: host plants and life history
Figure 13. Percentage of adults of tortoise beetles observed in the abaxial and adaxial surfaces of the leaves of their respective host plants.
Figure 23 in Tortoise beetles of an Atlantic Forest remnant in south Minas Gerais, Brazil: host plants and life history
Figure 23. Average number of eggs by egg masses of Stolas augur, Stolas plagicollis and Stolas sexplagiata (Tribe Mesomphaliini). Mean values identified with the same letter did not differ significantly in Tukey's test, p <0.05.
Figure 1 in Life-history traits of the Brazilian litter-dwelling scorpion: post-embryonic development and reproductive behaviour in Ananteris mauryi Lourenço, 1982 (Scorpiones: Buthidae)
Figure 1. The courtship and mating sequences in Ananteris mauryi Lourenço (1982). (a) Initiation; (b) promenade à deux; (c) insemination and separation. M, male; F, female.
Predictors of individual performance and evolutionary potential of life-history traits in a hematophagous ectoparasite
<p>Little is known about the intraspecific variation of parasite life-history traits and on how this variation may affect parasite fitness and evolution. We investigated how life-history traits predict success of individual tree-hole ticks <i>Ixodes arboricola</i> and estimated their evolutionary potential, as well as genetic correlations within stages and phenotypic correlations within and across stages. Ticks were followed individually over two generations while allowed to feed on great tits <i>Parus major</i>. After accounting for host and tick maternal effects, we found that short feeding times and high engorgement weights strongly increased moulting success. Also, moulting time was positively correlated with feeding success in adults. In larvae and nymphs we found negative phenotypic correlations between engorgement weight and both feeding and moulting time, the latter supported by a negative genetic correlation. We found sex-related differences in feeding time (longer in male nymphs) and moulting time (longer in male larvae but shorter in male nymphs). Also, time since the last feeding event (set experimentally) reduced larval and nymphal fitness while it increased adult female fitness. Furthermore, we found significant heritability and evolvability, i.e. the potential to respond to selection, for engorgement weight and moulting time across all stages but no significant heritability for feeding time. Our findings suggest that variation in tick fitness is shaped by consistent individual differences in tick quality, for which engorgement weight is a good proxy, rather than by life-history trade-offs.</p>
Data from: Variation in seasonal timing traits and life history along a latitudinal transect in Mimulus ringens
<p>Seasonal timing traits are commonly under recurrent, spatially-variable selection, and are therefore predicted to exhibit clinal variation. Temperate perennial plants often require vernalization to prompt growth and reproduction; however, little is known about whether vernalization requirements change across the range of a broadly distributed species. We performed a critical vernalization duration study in <i>Mimulus ringens, </i>coupled with population genomic analysis. Plants from 8 populations spanning the latitudinal range were exposed to varying durations of 4°C vernalization between 0-56 days, and flowering response was assessed. RADSeq was also performed to generate 1,179 polymorphic SNPs, which were used to examine population structure. We found unexpected life history variation, with some populations lacking vernalization requirement. Population genomic analyses show that these life history variants are highly divergent from perennials, potentially revealing a cryptic species. For perennial populations, minimum vernalization time was surprisingly consistent. However, once vernalized, northern populations flowered almost 3 weeks faster than southern. Further, southern populations exhibited sensitivity to vernalization times beyond flowering competency, suggesting an ability to respond adaptively to different lengths of winter. <i>M. ringens</i> therefore reveals evidence of clinal variation, and provides opportunities for future studies addressing mechanistic and ecological hypotheses both within and between incipient species.</p>
Natural history of model organisms: the secret (group) life of Drosophila melanogaster larvae and why it matters to developmental ecology
<ol> <li>Model organisms such as <i>Drosophila melanogaster</i> have been key tools for advancing our fundamental and applied knowledge in biological and biomedical sciences. However, model organisms have become intertwined with the idea of controlled and stable laboratory environments, and their natural history has been overlooked.</li> <li>In holometabolous insects, lack of natural history information on larval ecology has precluded major advances in the field of developmental ecology, especially in terms of manipulations of population density early in life (i.e., larval density). This is because of relativistic and to some extent, arbitrary methodologies employed to manipulate larval densities in laboratory studies. As a result, these methodologies render comparisons between species impossible, precluding our understanding of macroevolutionary responses to population densities during development that can be derived from comparative studies.</li> <li>We recently proposed a new conceptual framework to address this issue and here, we provide the first natural history investigation of <i>Drosophila melanogaster </i>larval density under such framework. First, we characterised the distribution of larval densities in wild population of <i>D. melanogaster </i>using rotting apples as breeding substrate in a suburban area in Sweden.</li> <li>Next, we compiled the commonly used methodologies for manipulating larval densities in laboratory studies from the literature and found that the majority of laboratory studies did not manipulate larval densities below or above the densities observed in nature, suggesting that we have yet to study true life-history and physiological responses to low and high population densities during <i>D. melanogaster</i> development.</li> <li>This is, to our knowledge, the first direct natural history account of larval density in nature for this model organism. Our study paves the way for a more integrated view of organismal biology which re-incorporates natural history of model organisms into hypothesis-driven research in developmental ecology.</li> </ol>
FIGURE 35. Apogon mosavi a in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 35. Apogon mosavi a) juvenile, 15.5 mm SL, DNA # BLZ 7713, fresh specimen, photograph by C. Baldwin and L. Weigt; b) juvenile, 15.0 mm SL, DNA # BLZ 7122, photograph by J. Mounts.
FIGURE 28. Apogon quadrisquamatus Lineage A in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 28. Apogon quadrisquamatus Lineage A, adult, 21.0 mm SL, DNA # BLZ 8291, photograph by C. Baldwin
FIGURE 22 in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 22. Apogon maculatus, juvenile, 22.0 mm SL, DNA # BLZ 4551, photograph by J. Mounts and C. Baldwin.
FIGURE 18 in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 18. Apogon pseudomaculatus, adult, 60.0 mm SL, DNA # CUR 11003, photograph by C. Castillo and C. Baldwin.
FIGURE 17 in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 17. Apogon townsendi, larva, 11.0 mm SL, DNA # BLZ 6329, photograph by J. Mounts and C. Baldwin.
FIGURE 24 in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 24. Apogon aurolineatus, adult, 30.0 mm SL, DNA # BLZ 6176, photograph by J. Mounts and C. Baldwin.
FIGURE 20 in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 20. Apogon affinis, adult, 68.0 mm SL, DNA # CUR 11005, photograph by C. Castillo and C. Baldwin.
FIGURE 15 in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 15. Apogon townsendi, adult, 34.0 mm SL, DNA # BLZ 7833, photograph by C. Baldwin and L. Weigt.
FIGURE 30. Apogon quadrisquamatus Lineage B in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 30. Apogon quadrisquamatus Lineage B, juvenile, 14.0 mm SL, DNA # BLZ 7712, photograph by C. Baldwin and L. Weigt.
FIGURE 13 in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 13. Apogon lachneri, adult, 36.0 mm SL, DNA # BLZ 5118, photograph by J. Mounts and C. Baldwin.
FIGURE 12. Apogon phenax a in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 12. Apogon phenax a) larva, 9.5 mm SL, DNA # BLZ 6335; b) larva, 10.0 mm SL, DNA # BLZ 6361; c) larva, 11.0 mm SL, DNA # BLZ 6359; photographs by J. Mounts and C. Baldwin.
FIGURE 11 in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 11. Apogon phenax, juvenile, 16.0 mm SL, DNA # BLZ 8166, photograph by C. Baldwin and L. Weigt.
FIGURE 6 in Identification of early life-history stages of Caribbean Apogon (Perciformes: Apogonidae) through DNA Barcoding
FIGURE 6. Apogon pillionatus, juvenile, 16.0 mm SL, DNA # BLZ 8112, reared, photograph by C. Baldwin and L. Weigt.
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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.