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Functional depletion of MDT-29 during the larval germ line development in #Celegans boosted fecundity through an expansion of the germline stem cell pool & decreased germ cell apoptosis.🪱 Learn more about this #GENETICS study from Prof. Roger Pocock 🏳️‍🌈🔬now @rogerdjp.bsky.soci lab: buff.ly/21pVeb6

What's a proper p-value threshold in #GWAS? In #GENETICS, Cheruiyot et al used simulations with large sample size to show that the traditionally used GWAS significance P-value is insufficient for multiple testing corrections, requiring a stringent P-value: buff.ly/OuH2UVp

Using mass spectrometry and RNAseq, Gajjar et al. show how #Celegans translation factor eIF4E paralogs serve opposite functions in oocytes and embryos to regulate germline mRNAs. 🪱 Learn more in #GENETICS: buff.ly/l43Ecxj

Check out the latest #WormBook chapter in #GENETICS 🪱📣 Eric Greer Lab, siu.sylvia.lee, and Veena Prahlad dive deep into the #epigenetic changes and chromatin modifications regulation in #Celegans aging. Read more: buff.ly/b3lijhg

Work from LeritLab in #G3journal shows the effects of arsenic exposure on #Drosophila neurodevelopment and behavior, where larval neural stem cells have impaired mitotic progression and adult flies have circadian rhythm defects. 🪰 Read more: buff.ly/HK54b6t

In #GENETICS, Tsunemine et al. show that the CENP-B homolog Abp1 in #yeast suppresses RNA Polymerase II transcription, leading to excess heterochromatin at rDNA repeats under glucose-rich conditions. Read more: buff.ly/aLi0OAA

Using fluorescent in situ hybridization, Hylton et al. examined the pairing between #Drosophila chromosomes X and 3. 🪰 Learn more in #GENETICS about how a small segment with euchromatic homology is sufficient to ensure near-complete pairing: buff.ly/W3PTAc9

The latest #G3journal issue features work from Harold Burgess describing a limited role of Srrm4 gene in #zebrafish neural development where the new #CRISPR mutant shows no obvious morphological defects and gene expression changes in transcriptome analysis. buff.ly/cAaBxZl

A new study in #GENETICS investigates the genetic underpinnings of rDNA instability associated with topoisomerase I, describing a novel rDNA species that originates from the promoter region of the 35S rRNA gene in #yeast. Read more: buff.ly/S4gLsM2

What are the effects of gene flow and introgression on gene co-expression networks? In a new #GENETICS paper, Runghen and Bolnick run simulations to show that hybridization and gene flow between populations can greatly modify co-expression networks. buff.ly/CE5rCxu

Sijacic et al. transformed h2a.z-deficient Arabidopsis with human histone variants to understand histone evolution. Read in #GENETICS about the human genes ability to complement the phenotypic abnormalities of mutant plants despite divergent sequences: buff.ly/rjwgupV

TODAY🚨 Join us at 2pm EDT to hear from 2025 Edward Novitski Prize recipient Kevin Struhl. In this 1st lecture of the series, Struhl explores how yeast molecular biology revealed key principles of gene regulation. Make sure you're registered—don't miss it: buff.ly/I3j0kGs

A new method published in #GENETICS uses a factor analytic model to account for dependence among features while incorporating heterogeneity of variances between groups in high-throughput data to compare the mean expression of features between two groups.  buff.ly/RSKUccy

A new study in #GENETICS determines the gene regulation by eQTLs across different tissues and cell types using a causal network inference approach and leveraging the principle of Mendelian randomization, identifying multiple types of regulatory networks. buff.ly/r3KVgmy

New work in #GENETICS from Bhagwati Gupta and the team shows that C. briggsae exhibits greater thermal resilience, allowing it to survive, grow, and reproduce at temperatures usually stressful for #Celegans. 🪱 Read more: buff.ly/weezaAh

In #GENETICS, Rico-Ramirez and Glass identify key regions of CWR-1 and CWR-2 required for cell wall remodeling allorecognition specificity in Neurospora crassa. Read more: buff.ly/JkTYVYG

Existing methods for parameter estimation are computationally unfeasible with large genomic data. In #GENETICS, Misztal and Gowane present formulas for estimating heritabilities and genetic correlations in large models with numerous genotyped individuals. buff.ly/IUJOaLS

Thor and Nettelblad introduce a self-supervised #deeplearning framework for dimensionality reduction in large-scale genetics data to create PCA-like visualizations. Learn more in #GENETICS about how this work can help create larger neural network models: buff.ly/ZCEXF9F