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1.
Int J Mol Sci ; 19(2)2018 Feb 17.
Article in English | MEDLINE | ID: mdl-29462998

ABSTRACT

Propagation of some Olea europaea L. cultivars is strongly limited due to recalcitrant behavior in adventitious root formation by semi-hardwood cuttings. One example is the cultivar "Galega vulgar". The formation of adventitious roots is considered a morphological response to stress. Alternative oxidase (AOX) is the terminal oxidase of the alternative pathway of the plant mitochondrial electron transport chain. This enzyme is well known to be induced in response to several biotic and abiotic stress situations. This work aimed to characterize the alternative oxidase 1 (AOX1)-subfamily in olive and to analyze the expression of transcripts during the indole-3-butyric acid (IBA)-induced in vitro adventitious rooting (AR) process. OeAOX1a (acc. no. MF410318) and OeAOX1d (acc. no. MF410319) were identified, as well as different transcript variants for both genes which resulted from alternative polyadenylation events. A correlation between transcript accumulation of both OeAOX1a and OeAOX1d transcripts and the three distinct phases (induction, initiation, and expression) of the AR process in olive was observed. Olive AOX1 genes seem to be associated with the induction and development of adventitious roots in IBA-treated explants. A better understanding of the molecular mechanisms underlying the stimulus needed for the induction of adventitious roots may help to develop more targeted and effective rooting induction protocols in order to improve the rooting ability of difficult-to-root cultivars.


Subject(s)
Galega/genetics , Mitochondrial Proteins/genetics , Olea/genetics , Oxidoreductases/genetics , Plant Proteins/genetics , Plant Roots/genetics , Galega/growth & development , Gene Expression Regulation, Plant/drug effects , Indoles/pharmacology , Olea/drug effects , Olea/growth & development , Oxidative Stress/drug effects , Oxidative Stress/genetics , Plant Roots/drug effects , Plant Roots/growth & development
2.
BMC Genomics ; 16: 348, 2015 May 02.
Article in English | MEDLINE | ID: mdl-25933608

ABSTRACT

BACKGROUND: The symbiotic phenotype of Neorhizobium galegae, with strains specifically fixing nitrogen with either Galega orientalis or G. officinalis, has made it a target in research on determinants of host specificity in nitrogen fixation. The genomic differences between representative strains of the two symbiovars are, however, relatively small. This introduced a need for a dataset representing a larger bacterial population in order to make better conclusions on characteristics typical for a subset of the species. In this study, we produced draft genomes of eight strains of N. galegae having different symbiotic phenotypes, both with regard to host specificity and nitrogen fixation efficiency. These genomes were analysed together with the previously published complete genomes of N. galegae strains HAMBI 540T and HAMBI 1141. RESULTS: The results showed that the presence of an additional rpoN sigma factor gene in the symbiosis gene region is a characteristic specific to symbiovar orientalis, required for nitrogen fixation. Also the nifQ gene was shown to be crucial for functional symbiosis in both symbiovars. Genome-wide analyses identified additional genes characteristic of strains of the same symbiovar and of strains having similar plant growth promoting properties on Galega orientalis. Many of these genes are involved in transcriptional regulation or in metabolic functions. CONCLUSIONS: The results of this study confirm that the only symbiosis-related gene that is present in one symbiovar of N. galegae but not in the other is an rpoN gene. The specific function of this gene remains to be determined, however. New genes that were identified as specific for strains of one symbiovar may be involved in determining host specificity, while others are defined as potential determinant genes for differences in efficiency of nitrogen fixation.


Subject(s)
Genome, Bacterial , Rhizobiaceae/genetics , Symbiosis/genetics , Amino Acid Sequence , Bacterial Proteins/chemistry , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , DNA, Bacterial/analysis , DNA, Bacterial/isolation & purification , DNA, Bacterial/metabolism , Galega/growth & development , Galega/microbiology , Molecular Sequence Data , Nitrogen Fixation/genetics , Phenotype , Seeds/growth & development , Seeds/metabolism , Seeds/microbiology , Sequence Alignment , Sequence Analysis, DNA , Sigma Factor/chemistry , Sigma Factor/genetics , Sigma Factor/metabolism
3.
FEMS Microbiol Ecol ; 78(3): 604-16, 2011 Dec.
Article in English | MEDLINE | ID: mdl-22066474

ABSTRACT

Nucleic acid-based community fingerprinting methods are valuable tools in microbial ecology, as they offer rapid and robust means to compare large series of replicates and references. To avoid the time-consuming and potentially subjective procedures of peak-based examination, we assessed the possibility to apply direct curve-based data analysis on community fingerprints produced with bacterial length heterogeneity PCR (LH-PCR). The dataset comprised 180 profiles from a 21-week rhizoremediation greenhouse experiment with three treatments and 10 sampling times. Curve-based analysis quantified the progressive effect of the plant (Galega orientalis) and the reversible effect of the contaminant (fuel oil) on bacterial succession. The major observed community shifts were assigned to changes in plant biomass and contamination level by canonical correlation analysis. A novel method to extract relative abundance data from the fingerprint curves for Shannon diversity index revealed contamination to reversibly decrease community complexity. By cloning and sequencing the fragment lengths, recognized to change in time in the averaged LH-PCR profiles, we identified Aquabacterium (Betaproteobacteria) as the putative r-strategic fuel oil degrader, and K-strategic Alphaproteobacteria growing in abundance later in succession. Curve-based community fingerprint analysis can be used for rapid data prescreening or as a robust alternative for the more heavily parameterized peak-based analysis.


Subject(s)
Alphaproteobacteria/genetics , Betaproteobacteria/genetics , Fuel Oils , Soil Microbiology , Soil Pollutants/metabolism , Alphaproteobacteria/growth & development , Betaproteobacteria/growth & development , Betaproteobacteria/metabolism , Biodegradation, Environmental , Biomass , DNA Fingerprinting , DNA, Bacterial/genetics , Ecology/methods , Galega/growth & development , Polymerase Chain Reaction
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