I. Johnston

Connecting species-specific extents of genome reduction in mitochondria and plastids

The paper examines the relationship between mitochondrial and plastid genome reduction across eukaryotic species, finding a generally positive correlation in gene retention but limited evidence for coevolution of specific gene pairs.

Ecological predictors of organelle genome evolution: Phylogenetic correlations with taxonomically broad, sparse, unsystematized data

The paper investigates ecological predictors of organelle genome evolution by analyzing phylogenetic correlations across sparse, unsystematized data from eukaryotes.

Stromule geometry allows optimal spatial regulation of organelle interactions in the quasi-2D cytoplasm

The paper investigates how stromule geometry optimizes organelle interactions in the quasi-2D cytoplasm of plant cells using imaging and modeling.

Dynamics of organelle DNA segregation in Arabidopsis development and reproduction revealed with tissue-specific heteroplasmy profiling and stochastic modelling

This study uses stochastic modeling and tissue-specific heteroplasmy profiling to analyze oDNA segregation dynamics in Arabidopsis development and reproduction, revealing mechanisms involving MSH1 and gene conversion.

Data science approaches provide a roadmap to understanding the role of abscisic acid in defence

The paper uses machine learning to identify factors influencing ABA's role in plant defence and validates findings through experiments in tomato.

Altered collective mitochondrial dynamics in an Arabidopsis msh1 mutant compromising organelle DNA maintenance

The paper analyzes mitochondrial dynamics in an Arabidopsis msh1 mutant using microscopy and computational methods, finding altered collective behavior similar to a friendly mutant.

Encounter networks from collective mitochondrial dynamics support the emergence of effective mtDNA genomes in plant cells

The paper shows that mitochondrial encounter networks in plant cells enable the accumulation of full mtDNA genomes through exchange, outperforming other network types.

Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution

The paper shows that symmetry and simplicity in biological systems arise from algorithmic biases in evolution, not just natural selection, by testing predictions on protein complexes, RNA structures, and gene networks.

Identification of essential genes for Escherichia coli aryl polyene biosynthesis and function in biofilm formation

This study identifies essential genes for aryl polyene biosynthesis in E. coli and shows APEs enhance biofilm formation and oxidative stress resistance.

Quantification and uncertainty of root growth stimulation by elevated CO2 in mature temperate deciduous forest

The paper quantifies root growth stimulation by elevated CO2 in a mature temperate deciduous forest and assesses associated uncertainties.

Sexually antagonistic evolution of mitochondrial and nuclear linkage

The paper models mito-nuclear linkage evolution, showing it maintains mitochondrial diversity and selects for sex-independent segregation and paternal leakage to mitigate male-harming mtDNA effects.

Paternal leakage of organelles can improve adaptation to changing environments

The paper shows that paternal leakage of organelles can evolve to maintain advantageous organelle diversity in fluctuating environments, contrasting with strict maternal inheritance which is better in stable environments.

Supramolecular Organization Predicts Protein Nanoparticle Delivery to Neutrophils for Acute Lung Inflammation Diagnosis and Treatment

This paper identifies nanoparticle supramolecular organization as a predictor of neutrophil uptake in inflamed lungs, demonstrating diagnostic and therapeutic potential for acute lung inflammation.

The essential genome of Escherichia coli K-12

This study benchmarks TraDIS against single gene deletion libraries to identify essential genes in E. coli, revealing new essential genes and correcting previous designations.