bioRxiv Science⌕ Search

Biology subjects

McDaniel, M.

Publications and source records attributed to McDaniel, M..

2 recordsLinked to original sources

Heat Stress and Soil Microbial Disturbance Influence Soybean Root Metabolite, Microbiome Profiles, and Nodulation

Heat stress is a major limiting factor for soybean productivity worldwide. Recent studies have highlighted the critical role of the plant microbiome in enhancing plant resilience to heat stress. However, our understanding of the molecular and physiological mechanisms underlying root-microbiome interactions under heat stress remains limited. To elucidate the role of native soil microbes in the heat tolerance of soybean genotypes, we analyzed rhizosphere bacterial and fungal communities via 16S rRNA and ITS sequencing, and characterized root metabolites and anatomical traits in response to microbiome composition and heat stress. Soybean plants were grown under controlled conditions in either natural soil containing native microbiota or in microbiome-disturbed soil (via 3-hour autoclaving), under both optimal and elevated temperature regimes. Alpha and beta diversity analyses revealed significant microbial shifts between treatments. Distinct clustering of bacterial, fungal, and metabolite profiles was observed under high temperature and microbial disturbance. Nodule-forming bacteria such as Rhizobium and Janthinobacterium were markedly suppressed, and belowground traits exhibited sensitivity, with significantly reduced nodule numbers and nodulation efficiency under high temperature and soil microbial perturbation. Non-targeted root metabolomics identified 372 differentially accumulated metabolites. Integrative multi-omics analysis revealed associations between metagenomic profiles, metabolite levels, and nitrogen-fixation traits, implying a coordinated modulation of root physiological processes. These findings contribute to a growing understanding of how heat stress interacts with rhizosphere microbial communities and may support future efforts in breeding climate-resilient soybean cultivars.

plant biology↗

Multiple Measures Reveal The Value of Both Race And Geographic Ancestry For Self-Identification

There is long-standing tension regarding whether and how to use race or geographic ancestry in biomedical research. We examined multiple self-reported measures of race and ancestry from a cohort of over 100,000 U.S. residents alongside genetic data. We found that these measures are often non-overlapping, and that no single self-reported measure alone provides a better fit to genetic ancestry than a combination including both race and geographic ancestry. We also found that patterns of reporting for race and ancestry appear to be influenced by participation in direct-to-consumer genetic ancestry testing. Our results demonstrate that there is a place for the language of both race and geographic ancestry as we seek to empower individuals to fully describe their family history in research and medicine.\n\nOne Sentence SummarySelf-identification in the United States according to both racial and geographic terms best reflects genetic ancestry in individuals.

genetics↗