bioRxiv

bioRxiv, which is pronounced as "bio-archive," is a no-cost online platform where researchers can share and distribute unpublished preprints in the life sciences field. This service is managed by Cold Spring Harbor Laboratory, a non-profit organization focused on research and education. By uploading their preprints to bioRxiv, authors can quickly share their discoveries with the scientific community and gather feedback on their draft manuscripts before they submit them to academic journals.

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The effects of morning priming exercise on afternoon physical and cognitive performance in male rugby union players

3 days ago | biorxiv.org | Jamie Knight |Mark Russell |Daniel Cunningham |Mark Waldron

AbstractObjective: To assess the effect of morning resistance exercise on afternoon physical and cognitive performance in male rugby union players. Methods: On two occasions (randomised, crossover design), 25 male rugby union players completed morning physical (countermovement jump, 40 m linear sprint) and cognitive (rapid visual information processing; spatial working memory; paired associates of learning) assessments.
Rational design of respiratory syncytial virus dimeric F-subunit vaccines in protein and mRNA forms

5 days ago | biorxiv.org | Jing Li |Xuehui Ma |Zepeng Xu |Wenjing Guo

AbstractBackground: Respiratory syncytial virus (RSV) poses a significant public health threat, particularly to children and the elderly. Two protein-based vaccines and one mRNA vaccine have been approved, all targeting the prefusion conformation of the fusion (F) glycoprotein. However, it has been reported that the F protein transitions to the post-fusion state during storage, resulting in a reduction of the vaccines' immunogenicity.
Phylogenomics of Aristolochia subg. Siphisia (Aristolochiaceae) reveals widespread incomplete lineage sorting and supports a novel pollinator-filtering hypothesis

5 days ago | biorxiv.org | Yifan Wang |Shuai Liao |Zirui Guo |Pan Li

AbstractAristolochia subgenus Siphisia constitutes a monophyletic lineage of predominantly lianescent species, with occasional shrubs or herbs, and is characterized by remarkable diversity in perianth morphology. Members of Siphisia serve as larval hosts for endangered Lepidoptera and are widely used in traditional medicine.
Deep Learning Improves Parameter Estimation in Reinforcement Learning Models

6 days ago | biorxiv.org | Hua-Dong Xiong |Li Ji-An |Marcelo G. Mattar |Robert Wilson

AbstractCognitive modeling provides a formal method to articulate and test hypotheses about cognitive processes. However, accurately and reliably estimating model parameters remains challenging due to common issues in behavioral science, such as limited data, measurement noise, experimental constraints, and model complexity. These challenges hinder the interpretability of parameters in both behavioral and neural data.
Hyperdiverse, bioactive, and interaction-specific metabolites produced only in co-culture suggest diverse competitors may fuel secondary metabolism of xylarialean fungi

6 days ago | biorxiv.org | M.E. Ernesto Franco |Megan N Nickerson |Ben Bowen |Katherine Louie

AbstractXylariales is one of the largest and most ecologically diverse fungal orders that is well-known for its chemical diversity. Enhanced secondary metabolism of Xylariales taxa is associated with increased gene duplication and horizontal gene transfer (HGT) of biosynthetic gene clusters (BGCs), especially in generalist taxa with both greater saprotrophic abilities and broader host ranges as foliar endophytic symbionts.
Development of a bioassay guided genome mining approach for antifungal natural product discovery from pseudomonads

1 week ago | biorxiv.org | George Lund |Susan Mosquito |David M. Withall |John Caulfield

AbstractZymoseptoria tritici causes Septoria Leaf Blotch disease of wheat and has evolved to overcome most chemical and genetic control methods. As such, new tools are required for future disease control. We identified Pseudomonas isolates that antagonise Z. tritici through the production of secreted secondary metabolites, using a novel in vitro Z. tritici antagonism assay. In addition to high-throughput qualitative assessment of Pseudomonas antagonism of Z.
Microbial Modulation of Host Plant Proteasome Activity Improves Heat Stress Tolerance

1 week ago | biorxiv.org | Jun Lee |Alyssa A. Carrell |Bryan Piatkowski |Dana L Carper

AbstractGlobal climate change marked by rising temperatures and increasingly frequent, severe heat waves, threatens plant health, productivity, and ecosystem function. Beneficial plant-microbe associations are increasingly recognized for their role in mitigating abiotic stress, yet the molecular mechanisms underlying microbially-conferred thermotolerance remain poorly understood.
CoREST Complex Stabilizes MYC Protein to Promote Cancer Cell Genome Stability

1 week ago | biorxiv.org | Jaemin Byun |Byungwoo Ryu |Abdul Khan |Soojin Kim

AbstractThe CoREST complex is a multi-subunit epigenetic regulator implicated in histone modification and transcriptional repression, but its role in tumorigenesis is not well-defined. Here, we show that the CoREST complex directly interacts with and stabilizes the MYC oncoprotein in cancer cells through site-specific deacetylation of lysine residues, primarily mediated by HDAC1/2.
Single-cell molecular subtyping reveals novel intratumor heterogeneity in human Basal-like breast cancer

1 week ago | biorxiv.org | Jing Li |Yuan Gao |Shouhui Guo |Shisong Zhang

AbstractBreast cancer is a molecularly heterogeneous disease composed of multiple intrinsic subtypes. Recent studies have highlighted the substantial intratumor heterogeneity of breast cancer, wherein malignant cells of distinct intrinsic subtypes co-exist within the same tumor. However, most existing subtyping methods are designed for bulk transcriptomic data and are therefore limited in their ability to resolve such intratumor heterogeneity at single-cell resolution.
Inference and prediction for random walk models in biology

1 week ago | biorxiv.org | Matthew Simpson |Michael J. Plank |Queensland Univeristy

AbstractParameter inference is a critical step in the process of interpreting biological data using mathematical models. Inference provides a means of deriving quantitative, mechanistic insights from sparse, noisy data.