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The insect wing is formed from an epithelial sheet that folds during development to establish a saclike tissue with an upper and a lower epithelial monolayer. The adult cuticle formed by the upper and lower monolayers has a distinctive pattern of thickened regions called veins. The venation pattern on the lower surface matches that on the upper surface. As demonstrated by transposition of grafts from the upper monolayer, determination of venation pattern occurs prior to pupation in both wing monolayers. However, the pattern is not expressed until later in adult development. Expression of this determined pattern occurs autonomously in most circumstances. One circumstance in which the pattern fails to be expressed is in pieces of the upper monolayer that are isolated from the lower monolayer before adult cuticle deposition and expression of venation pattern. The only evident interaction between the two monolayers of the wing occurs during a 3-day period, 6-8 days after pupation. During this time, the basal laminae segregating upper monolayer from lower monolayer disappear, and the basal ends of cells form desmosomal junctions at the interface between upper and lower monolayer. Transposition as well as isolation of tissue fragments from the upper monolayer suggest that this interaction between the basal surfaces of the two monolayers is a prerequisite for evocation of venation pattern.
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http://dx.doi.org/10.1002/jmor.1051930106 | DOI Listing |
Accurate honey bee subspecies identification is vital for biodiversity conservation and pollination resilience, yet current methods face critical limitations. Classical morphometric techniques, reliant on manual wing vein measurements, suffer from subjectivity and poor scalability across hybrid populations, while deep learning approaches demand extensive labeled datasets and exhibit limited interpretability in noisy field conditions. Crucially, existing methods fail to reconcile scalability with the ability to analyze phenotypic gradients in hybrid specimens.
View Article and Find Full Text PDFPhys Rev Lett
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University of Copenhagen, University of Copenhagen, Niels Bohr Institute, Denmark and Department of Computer Science, Copenhagen, Denmark.
Biological transport networks are highly optimized structures that ensure power-efficient distribution of fluids across various domains, including animal vasculature and plant venation. Theoretically, these networks can be described as space-embedded graphs, and rich structures that align well with observations emerge from optimizing their hydrodynamic energy dissipation. Studies on these models typically use regular grids and focus solely on edge width optimization.
View Article and Find Full Text PDFData Brief
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Department of Computer Science and Engineering, Daffodil International University, Daffodil Smart City, Birulia, Dhaka 1216, Bangladesh.
This corpus contains 3173 high-quality images of leaves of ten commonly found fruit species in Bangladesh, namely Lotkon (306), Lychee (312), Mango (330), Black plum (304), Custard apple (304), Guava (325), Jackfruit (311), Aegle marmelos (336), Star Fruit (343), Plum (302). It is captured with Realme 7-Pro (64 MP primary camera) and Realme 8-Pro (108 MP primary camera) smartphones at nurseries near to Daffodil International University, Bangladesh. This dataset addresses the scarcity of high-quality, region-specific agricultural image datasets in South Asia, offering a unique combination of standardized smartphones-based imaging and controlled lighting to ensure consistant high-resolution visual data compared to existiong datasets.
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Department of Statistics, Columbia University, 1255 Amsterdam Ave, New York, NY 10027, United States.
Leaf veins hydrate and sustain leaf tissue for photosynthesis. During drought and freeze events, embolisms can form in xylem conduits, ceasing the transport of water. Understanding the formation and propagation of embolisms is crucial to predicting species' responses to a changing climate.
View Article and Find Full Text PDFFront Plant Sci
June 2025
Laboratorio de Dendrocronología, Universidad Continental, Huancayo, Junín, Peru.
Introduction: Tropical montane cloud forests (TMCFs) host specialized plant species reliant on persistent atmospheric humidity, including fog immersion obligates and relict assemblages. Understanding anatomical and morphological adaptations in TMCF woody angiosperms is critical for elucidating their acclimation strategies to hydric stress under shifting fog regimes. This study investigates interspecific variability in wood and leaf traits among 10 TMCF tree species in Mexico's Medio Monte Natural Protected Area, hypothesizing that distinct anatomical strategies emerge in response to climatic stressors.
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