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42 results for “pleiotrope”

  1. La structure des réseaux de régulation explique l'évolution et l'héritabilité des phénotypes complexes

    De nombreux phénotypes humains sont polygéniques, déterminés par plusieurs gènes et éléments régulateurs : la taille à l’âge adulte, le métabolisme, l’immunité, la prédisposition génétique à de nombreuses maladies, y compris des cancers et des maladies auto-immunes, des troubles psychiatriques et des maladies neurodégénératives. Ces gènes sont souvent pléiotropes, déterminant simultanément différents phénotypes. Cela s’explique par le grand nombre d’interactions au niveau moléculaire dans chaque cellule, où des réseaux complexes régulent finement l’expression des gènes. Étant donné l’intrication des bases génétiques des différents phénotypes complexes, nous nous sommes demandé comment un phénotype complexe peut évoluer en réponse aux contraintes environnementales, sans altérer les autres phénotypes.

    En savoir plus ➡️ moulon.inrae.fr/news/2025/10/l

    #ideev #gqelemoulon #maudfagny @hal_fr @officialSMBE #mbe #phenotype #regulation #polygenic @inrae_france

  2. When processing color images from my 2600MC taken with a dual-band HaO3 filter, I found that debayering in using DrizzleIntegration (CFA checked, 1x scale, 0.9x shrink) resulted in better color rendition and less green noise than the non-drizzle images. This worked even though my data weren’t undersampled (though they were still well-dithered).

    Thought that was interesting.

  3. A 24h timelapse showing the dramatic nyctinastic movement of a calathea (also known as a rattlesnake or prayer plant).

  4. A wider view of the from these flowers under 365nm light, showing a more varied range of colors than just blue.

  5. While working on more multispectral images, I noticed the ethereal blue of these flowers under ultraviolet light.

    This was done with 10 seconds of light painting with a 365nm UV flashlight, captured using an unmodified mirrorless camera.

  6. A false-color photo I took of a larkspur with UV and IR light mapped on top of a regular visible-color photo. Inner parts of the flower petals reflect more UV than others and thus show up in blue. Other parts absorb UV but reflect IR, resulting in the red colors seen in the inner part of the flower and stems. Many flowers use this contrast to help pollinators (who often can see UV) to distinguish key parts of the flower.

  7. Another image showing and light in red and blue, respectively. Note how the blue UV light glitters and reflects from the edges of the petals, while the interior of the petals and the stalk in the background glows red from reflected IR (the “Wood Effect”).

  8. Latest image, showing what a flower might look like if we saw beyond visible light into the UV and IR spectra.

    I’ve mapped IR light to red and UV light to blue, and added them to the existing red and blue data from the ordinary RGB image (included for comparison). Notice how the spots on the petals reflect IR light (and thus glow red), and how outer parts of the petals reflect more UV (blue).

  9. A -style, false color infrared image.

    Here, IR = red, red = blue, green = cyan, and blue = green.

  10. My first image from my hacked-together (IR, UV, and visible light) camera. Near IR is in red, visible light is in green, and UV is in blue.

    The camera itself is a monochrome camera I normally use for solar imaging, while the lens is just a regular Nikon 50 f/1.8D. Between the two is an electronic filter wheel with IR pass, IR cut, and UV pass filters.

  11. Out stargazing in the mountains last night when my dog noticed we had a visitor. Never seen a tarantula in the wild before- they’re super cool! A quick search suggests that it’s a California ebony tarantula.

  12. Walking my dog last night and thought the full moon looked a little lopsided. Turns out it was grazing the edge of the Earth’s shadow- I’d completely forgotten about the penumbral lunar eclipse!

    (Also a shout-out to the app’s camera- this was first time I’ve ever been able to get a properly exposed picture of the moon from my iPhone)

  13. Some picules, the tendrils rising above the surface of the solar chromosphere, visible through an H-alpha filter.

  14. ‘Vertical’ is when a variant affects a phenotype that has its own downstream effects on another phenotype

    ‘Horizontal’ pleiotropy is where a variant has multiple independent effects; no phenotype mediates another

    Needless terminology! Easily represented in simple as chaining and common cause, respectively. should avoid making up new terms for simple stuff.

    The interesting twist for genetics is because it can masquerade as pleiotropy

  15. STATGEN 2024
    Pleiotropy-robust methods for high-dimensional multivariable Mendelian randomization (HDMR)
    Nathan LaPierre presenting, co-authors: Matthew Stephens, Xin He

    In HDMR, we have many genetically correlated exposures, which may be explained by unobserved shared factors. These can be inferred by factor analysis.

    Flexible, modular framework: Factor-Augmented MR
    1. Factor Analysis
    2. Regression/Variable Selection

    #Genetics #StatisticalGenetics #MendelianRandomization #STATGEN2024

  16. Uzezi Okinedo and Brook Moyers characterized pleiotropy in local adaptation in endemic sunflower populations that exhibit bimodal life-history strategies. Their results support a model of ecotypic divergence under gene flow.

    🔗 doi.org/10.1093/gbe/evag098

    #genome #evolution

  17. Mappes was expecting valkea gene to be pleiotropically linked to life-history, but data said otherwise. Moreover, melanin patterning is genetically independent of valkea. OTOH, the melanin locus associates with male behaviour. #ESEB2025

  18. Early-life rotavirus infection susceptibility & later gastrointestinal #cancer protection: Reverse antagonistic pleiotropy & potential vaccine benefits.

    Severe #rotavirus links to SNPs under selection that raise infection risk yet may lower later cancer risk.

    davidojcius.blogspot.com/2026/

    #microbiology #virology

  19. Exciting that next talk by Veronika Lipánová also found adaptation affecting pleiotropic genes in a very different system (Edaphic adaptation in the alpine carnation Dianthus sylvestris)! #Biology25

  20. Deep #mutational #scanning of #influenza A virus #NEP reveals pleiotropic #mutations in its N-terminal domain biorxiv.org/cgi/content/short/

    The influenza A virus nuclear export protein (NEP) is a multifunctional protein that is essential for the viral life cycle and has very high sequence conservation.

  21. Breeding for adaptation to global climate change via selection for _local_ adaptation: "#Environment‐specific selection alters #flowering‐time plasticity and results in pervasive #pleiotropic responses in #maize" nph.onlinelibrary.wiley.com/do by @ndeleongatti @DrSethMurray et al.

  22. Breeding for adaptation to global climate change via selection for _local_ adaptation: "#Environment‐specific selection alters #flowering‐time plasticity and results in pervasive #pleiotropic responses in #maize" nph.onlinelibrary.wiley.com/do by @[email protected] @[email protected] et al.

  23. Great talk by lab member @dee_unil Agneesh Barua #Biology25 on convergent gene evolution and pleiotropy in fishes. Preprint v1 here biorxiv.org/content/10.1101/20, v2 with many new results coming soon!

  24. 🚨 new #preprint 🚨

    The evolutionary emergence of #EcologicalNetworks has been studied for decades but usually focussing on one type of interaction at a time, even though organisms naturally engage in multiple interaction types simultaneously. The combined effect of different interaction types on diversification thus remains unclear - until now. 😜

    I hope you enjoy reading this fascinating story about ecological #pleiotropy and how it shapes #diversification patterns!

    biorxiv.org/content/10.64898/2

  25. (1/2) Very happy to announce the publication of our latest work by my former student Sylvain Pouzet in @journal-evo.bsky.social: "Gene network topology drives the mutational landscape of gene expression". Based on simulations, we show that the size and pleiotropy of mutations affecting gene expression heavily depend on the structure of the underlying gene network.

    #GeneRegulatoryNetworks
    #PopulationGenetics
    #EvolutionarySystemsBiology

    doi.org/10.1093/evolut/qpaf068