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Gonzalez-Hernandez, J. L.

Publications and source records attributed to Gonzalez-Hernandez, J. L..

2 recordsLinked to original sources

Influence of plant genotype on nodule microbiome composition and function in seasonal yellow pea varieties

Background and AimsLegume root nodules host symbiotic rhizobia essential for nitrogen fixation but also harbor diverse non-rhizobial taxa that remain poorly characterized. Yellow pea (Pisum sativum) cultivars adapted to distinct seasonal growth (spring and winter) offer an opportunity to explore whether host genotype influences nodule microbiome composition and function. This study investigates the taxonomic and functional profiles of nodule-associated microbial communities in seasonal yellow pea varieties. MethodsA field experiment with 6 field pea cultivars (spring and winter types) was conducted in South Dakota. Surface-sterilized root nodules were subjected to full-length 16S rRNA gene sequencing using Oxford Nanopore technology. Reads were quality filtered, organellar sequences removed, and taxonomic classification performed with the EMU pipeline. Microbial diversity, community structure, and core taxa were analyzed using R, with predicted functions inferred by FAPROTAX. ResultsThe nodule microbiome was dominated by Rhizobium, accounting for up to 98% of classified reads. After excluding Rhizobium, non-rhizobial diversity revealed a conserved core microbiome shared across cultivars, including cyanobacteria with potential phototrophic and diazotrophic traits. Minor seasonal differences were observed, with winter cultivars exhibiting higher evenness and specific associations. ConclusionYellow pea nodules harbor a stable, cyanobacteria-enriched core microbiome, largely consistent across seasonal cultivars. Season-specific microbial patterns suggest potential host-genotype influences, warranting further validation.

plant biology↗

JNK activation dynamics drive distinct gene expression patterns over time mediated by mRNA stability

c-Jun N-terminal kinase (JNK) plays a major role in the regulation of cell death. Numerous studies have highlighted how the dynamics of this kinase dictate whether cells survive in response to cellular stress or induce cell death mechanisms. However, it is less clear how these dynamics potentially contribute to downstream gene expression patterns through regulated transcription factors like c-Jun. To investigate this question, we used a treatment strategy with the JNK agonist anisomycin to drive specific dynamics; sustained, transient, or pulsed activation, and assessed the impact on downstream gene expression patterns. We observed that multiple gene expression patterns emerged depending on the dynamics of JNK activation. Ordinary Differential Equation (ODE) models suggest that a subset of these clusters are mediated by mRNA stability and supported by measured mRNA decay rates. Specific gene clusters also show enrichment in specific cellular pathways, including cell death and inflammatory signaling, suggesting these dynamics contribute to differential regulation of these pathways. These findings highlight another contribution of JNK dynamics to the regulation of cellular responses to stress stimuli.

systems biology↗