Single‐cell Transcriptome Profiling Reveals Gene Regulatory Networks and Key Genes in the Root Epidermis and Cortical Cells Associated with Early Nodulation in Glycine Max
This study showcases how single‐cell transcriptomics and gene‐regulatory networks provide hypotheses for identification and characterization of previously unappreciated regulatory circuits, broadens the understanding of precise genetic control underlying symbiosis establishment, and underscores how functional diversification of nodulation genes has occurred across legumes.
Abstract
The legume crop soybean forms a symbiosis with rhizobia to fix atmospheric nitrogen (N) in specialized organs called root nodules. However, the mechanisms regulating early infection of the root epidermis and nodule‐primordium formation in the cortex for proper nodule formation remain unclear in soybean. Here, we report a single‐cell transcriptome analysis of mock‐ and rhizobia‐inoculated soybean roots at 4 days after inoculation, an important control point for autoregulation of nodulation and nodule‐primordium formation. We profiled 21,500 cells and detected 12 major cell clusters, and identified 193 infected‐cell‐specific, 205 epidermis‐specific and 180 cortex‐specific DEGs. Gene‐ontology enrichment and gene‐regulatory network analyses uncovered key pathways such as reactive oxygen species‐mediated hormone signaling involved in coordinating defense signaling and symbiotic pathways. We also identified and functionally validated an ethylene‐activated circuit comprising GmWRKY6.3/6.4 transcription factors and select downstream GmNod19 targets, in which genes act as positive regulators by promoting infection‐thread formation during early nodulation, thereby shaping nodule formation. This study showcases how single‐cell transcriptomics and gene‐regulatory networks provide hypotheses for identification and characterization of previously unappreciated regulatory circuits, broadens our understanding of precise genetic control underlying symbiosis establishment, and underscores how functional diversification of nodulation genes has occurred across legumes.
Improving nitrogen use efficiency in maize (Zea mays) requires understanding how distinct root cell types and regulatory networks process fertilizer inputs. Given the current limited understanding of fertilizer-induced, cell-type-resolved maize roots and regulatory networks, computational biology frameworks are needed...
Jade Horcoff, Anuradha Goswami, B. Mishra· bioRxiv· 0 citations
This study provides the first high-resolution single-cell atlas of cellular organization and developmental dynamics across oak vegetative organs and identifies the candidate regulator genes associated with root development, offering new insights into the regulatory mechanisms of woody plant root regeneration and clonal...
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Findings show that NFs control a true lateral-root formation pathway, independent of the nodule organogenesis pathway in M. truncatula, by acting through a conserved auxin signaling module.
Zélie Lesterps, W. Buhian, Anne-Laure Fuchs et al.· Current Biology· 1 citation
A comprehensive genome-wide analysis of the wheat RGF gene family is performed, identifying 15 genes distributed across the A, B, and D subgenomes and classified into five homeologous groups (TaRGF1–TaRGF5), predominantly located on chromosomes 2 and 6, which showed the highest similarity to Arabidopsis thaliana RGF5.
H. Khalil, Haidar A. Alsahoud, Abdulrahman Darwish Mostafa et al.· International Journal of Mol...· 0 citations
Here, we aimed to deepen our understanding of the integration between root and shoot signaling during early nodulation by jointly analyzing proteome-level dynamics in roots and leaves of the wild type (WT) and the hypernodulating autoregulation-of-nodulation (AON) mutant, nark. To this end, we performed a time-course s...
Afrodite Katsaouni, E. Guillierme, S. E. Van der Verren et al.· Frontiers in Plant Science· 0 citations
Maize/soybean intercropping is a well-established agroecosystem for sustainable agriculture, yet the species-specific molecular mechanisms underlying their root adaptive strategies remain unclear. Here, we integrated phenotypic measurements and root transcriptomics to characterize the transcriptional reprogramming...