Molecular Plant-Microbe Interactions · 2016 · 53 citations · 66 references
Life SciencesPlant BiologyPlant SciencesGene ExpressionPlant GeneticsPlant-microbe InteractionsBiological Nitrogen FixationHorizontal Gene TransferNitrogen FixationPlant Gene ExpressionPlant Transcriptional RegulationSymbiotic Nitrogen FixationFrameshift MutationsNitrogen-fixing NodulesNitrogenase ActivityRhizobial SymbiosisRhizobium SymbiosisRhizobium-legume SymbiosisTranscriptional ActivationZinc Finger Proteins
To achieve effective symbiosis with legume, rhizobia should fine-tune their background regulation network in addition to activating key genes involved in nodulation (nod) and nitrogen fixation (nif). Here, we report that an ancestral zinc finger regulator, MucR1, other than its paralog, MucR2, carrying a frameshift mutation, is essential for supporting nitrogen fixation of Sinorhizobium fredii CCBAU45436 within soybean nodules. In contrast to the chromosomal mucR1, mucR2 is located on symbiosis plasmid, indicating its horizontal transfer potential. A MucR2 homolog lacking the frameshift mutation, such as the one from S. fredii NGR234, can complement phenotypic defects of the mucR1 mutant of CCBAU45436. RNA-seq analysis revealed that the MucR1 regulon of CCBAU45436 within nodules exhibits significant difference compared with that of free-living cells. MucR1 is required for active expression of transporters for phosphate, zinc, and elements essential for nitrogenase activity (iron, molybdenum, and sulfur) in nodules but is dispensable for transcription of key genes (nif/fix) involved in nitrogen fixation. Further reverse genetics suggests that S. fredii uses high-affinity transporters to meet the demand for zinc and phosphate within nodules. These findings, together with the horizontal transfer potential of the mucR homolog, imply an intriguing evolutionary role of this ancestral regulator in supporting nitrogen fixation.
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HTSeq—a Python framework to work with high-throughput sequencing data
Simon Anders, Paul Theodor Pyl, Wolfgang Huber · Bioinformatics · 2014 · 22.7K citations · Full text
DEGseq: an R package for identifying differentially expressed genes from RNA-seq data
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