| Literature DB >> 26175514 |
Estíbaliz Larrainzar1, Brendan K Riely1, Sang Cheol Kim1, Noelia Carrasquilla-Garcia1, Hee-Ju Yu1, Hyun-Ju Hwang1, Mijin Oh1, Goon Bo Kim1, Anandkumar K Surendrarao1, Deborah Chasman1, Alireza F Siahpirani1, Ramachandra V Penmetsa1, Gang-Seob Lee1, Namshin Kim1, Sushmita Roy1, Jeong-Hwan Mun2, Douglas R Cook2.
Abstract
The legume-rhizobium symbiosis is initiated through the activation of the Nodulation (Nod) factor-signaling cascade, leading to a rapid reprogramming of host cell developmental pathways. In this work, we combine transcriptome sequencing with molecular genetics and network analysis to quantify and categorize the transcriptional changes occurring in roots of Medicago truncatula from minutes to days after inoculation with Sinorhizobium medicae. To identify the nature of the inductive and regulatory cues, we employed mutants with absent or decreased Nod factor sensitivities (i.e. Nodulation factor perception and Lysine motif domain-containing receptor-like kinase3, respectively) and an ethylene (ET)-insensitive, Nod factor-hypersensitive mutant (sickle). This unique data set encompasses nine time points, allowing observation of the symbiotic regulation of diverse biological processes with high temporal resolution. Among the many outputs of the study is the early Nod factor-induced, ET-regulated expression of ET signaling and biosynthesis genes. Coupled with the observation of massive transcriptional derepression in the ET-insensitive background, these results suggest that Nod factor signaling activates ET production to attenuate its own signal. Promoter:β-glucuronidase fusions report ET biosynthesis both in root hairs responding to rhizobium as well as in meristematic tissue during nodule organogenesis and growth, indicating that ET signaling functions at multiple developmental stages during symbiosis. In addition, we identified thousands of novel candidate genes undergoing Nod factor-dependent, ET-regulated expression. We leveraged the power of this large data set to model Nod factor- and ET-regulated signaling networks using MERLIN, a regulatory network inference algorithm. These analyses predict key nodes regulating the biological process impacted by Nod factor perception. We have made these results available to the research community through a searchable online resource.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26175514 PMCID: PMC4577383 DOI: 10.1104/pp.15.00350
Source DB: PubMed Journal: Plant Physiol ISSN: 0032-0889 Impact factor: 8.340