Annals of Microbiology · 2018 · 53 citations · 83 references
Life SciencesPlant BiologyPlant SciencesPlant Molecular BiologyPlant-microbe InteractionsTranscriptomicsDrought Stress PhysiologyDrought ToleranceMicrobial TranscriptomicsPlant Transcriptional RegulationPlant TranscriptomicsTranscriptomics Of Stress ResponsesAbiotic Stress TranscriptomicsDrought StressDrought Stress EffectsDrought Stress Response GenesDrought Stress TranscriptomicsDrought-inducible Gene ExpressionGene Expression Regulation Under Drought
Several mechanisms have been proposed for plant growth-promoting rhizobacteria (PGPR)-mediated drought stress tolerance in plants, but little is known about the molecular pathways involved in the drought tolerance promoted by PGPR. We, therefore, aim to study the differential gene response between Pseudomonas putida strain FBKV2 and maize interaction under drought stress using Illumina sequencing. RNA Seq libraries were generated from leaf tissue of maize seedlings with and without strain FBKV2 subjected to drought stress. The libraries were mapped with maize genome database for the identification of differentially expressed genes (DEGs). The expression studies confirmed the downregulation of ethylene biosynthesis (ET), abscisic acid (ABA) and auxin signaling, superoxide dismutase, catalase, and peroxidase in FBKV2-inoculated seedlings. On the other hand, genes involved in β-alanine and choline biosynthesis, heat shock proteins, and late embryogenesis abundant (LEA) proteins were upregulated, which could act as key elements in the drought tolerance conferred by P. putida strain FBKV2. Another remarkable expression was observed in genes encoding benzoxazinoid (BX) biosynthesis which act as the chemoattractant, which was further confirmed by gfp-labeled P. putida strain FBKV2 root colonization studies. Overall, these results indicate that secretion of BXs attracted P. putida strain FBKV2 resulted in root colonization and mediated drought tolerance by modulating metabolic, signaling, and stress-responsive genes.
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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
Differential expression analysis for sequence count data
Simon Anders, Wolfgang Huber · Genome biology · 2010 · 16.4K citations · Full text
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