Search bioRxiv⌕ Search

Biology subjects

Dowell, J.

Publications and source records attributed to Dowell, J..

3 recordsLinked to original sources

Transcriptome reallocation during infection reshapes synonymous codon demand in Botrytis cinerea

While genomic codon usage is fixed within an individual isolate, the synonymous codons represented in its RNA pool can change when transcription shifts among genes. We tested whether this transcript-level phenotype accompanies infection by reanalyzing 39 libraries from three public Botrytis cinerea RNA-sequencing (RNA-seq) time series in S. lycopersicum, Arabidopsis thaliana, and Physcomitrium patens. Gene counts were corrected for coding length, combined with fixed gene-specific codon inventories, and analyzed as centered log ratios within synonymous amino-acid families. Sampling time accounted for 95-98% of fungal codon-demand variation in each series. The association persisted after effective-length correction, unique-only competitive mapping, host-homology exclusion, depth equalization, protein-family weighting, and removal of translation-associated genes. Change vectors over the interpolated, time-aligned 16-24-h interval were positively aligned among studies, whereas later trajectories diverged. Matched reassignments of complete expression trajectories showed more full-series organization than expected in S. lycopersicum and Arabidopsis, but not in P. patens. Codon-preference-weighted abundance and expression breadth also changed through infection, although their directions were not universal. Across systems, large non-translation contributors repeatedly carried ATP-synthase/respiratory and extracellular annotations, although their timing and companion functions differed. Infection-associated transcriptional reallocation therefore repeatedly restructures the synonymous composition of the inferred fungal transcript pool. This establishes a dynamic allocation phenotype and a basis for testing consequences for RNA stability and translation during host-pathogen interactions.

genomics↗

HyPhy: A Skeletonization-Based Approach For Fungal Network Analysis

PremiseTraditional methods to quantify mycelial growth rely on destructive sampling to quantify biomass. However, these approaches limit continuous observation and require a large enough mass to measure. Recent work examines hyphal network traits by reconstructing the hyphal network from spatial coordinates via images, providing information about branching patterns and spatial growth over time. Methods and ResultsWe developed HyPhy, a Python-based graphical user interface that skeletonizes images of hyphal networks and extracts biologically relevant structural parameters such as fractal dimension, a proxy for the complexity and branching structure of the hyphal network. Using a high-throughput pipeline method, we imaged three isolates of Botrytis cinerea grown under liquid culture for 72 hours, generating a dataset of 180 time series images. ConclusionsHyPhy enables efficient, non-destructive, and scalable quantification of hyphal growth and complexity from time-resolved image datasets, providing a powerful and user-friendly tool for studying fungal network dynamics.

microbiology↗

Historic breeding practices contribute to germplasm divergence in leaf specialized metabolism and ecophysiology in cultivated sunflower (Helianthus annuus).

The use of hybrid breeding systems to increase crop yields has been the cornerstone of modern agriculture and is exemplified in the breeding and improvement of cultivated sunflower (Helianthus annuus). However, it is poorly understood what effect supporting separate breeding pools in such systems, combined with continued selection for yield, may have on leaf ecophysiology and specialized metabolite variation. Here, we analyze 288 cultivated H. annuus lines to examine the genomic basis of several specialized metabolites and agronomically important traits across major heterotic groups. Heterotic group identity supports phenotypic divergences between fertility restoring and cytoplasmic male-sterility maintainer lines in leaf ecophysiology and specialized metabolism. However, the divergence is not associated with physical linkage to nuclear genes that support current hybrid breeding systems in cultivated H. annuus. Further, we identified four genomic regions associated with variation in leaf ecophysiology and specialized metabolism that co-localize with previously identified QTLs in cultivated H. annuus for quantitative self-compatibility traits and with SPH-proteins, a recently discovered family of proteins associated with self-incompatibility and self/nonself recognition in Papaver rhoeas (common poppy) with suggested conserved downstream mechanisms among eudicots. Self-compatibility is a derived trait in cultivated H. annuus with quantitative variation in selfing success, suggesting that trait linkage to divergent phenotypic traits may have partially arisen as a potential unintended consequence of historical breeding practices. Further work is necessary to confirm the self-incompatibility mechanisms in cultivated H. annuus and their relationship to the integrative and polygenic architecture of leaf ecophysiology and specialized metabolism in cultivated sunflower.

plant biology↗