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1.
Microb Ecol ; 79(2): 367-382, 2020 Feb.
Article in English | MEDLINE | ID: mdl-31346687

ABSTRACT

We examined the bacterial endophyte-enriched root-associated microbiome within rice (Oryza sativa) 55 days after growth in soil with and without urea fertilizer and/or biofertilization with a growth-promotive bacterial strain (Rhizobium leguminosarum bv. trifolii E11). After treatment to deplete rhizosphere/rhizoplane communities, washed roots were macerated and their endophyte-enriched communities were analyzed by 16S ribosomal DNA 454 amplicon pyrosequencing. This analysis clustered 99,990 valid sequence reads into 1105 operational taxonomic units (OTUs) with 97% sequence identity, 133 of which represented a consolidated core assemblage representing 12.04% of the fully detected OTU richness. Taxonomic affiliations indicated Proteobacteria as the most abundant phylum (especially α- and γ-Proteobacteria classes), followed by Firmicutes, Bacteroidetes, Verrucomicrobia, Actinobacteria, and several other phyla. Dominant genera included Rheinheimera, unclassified Rhodospirillaceae, Pseudomonas, Asticcacaulis, Sphingomonas, and Rhizobium. Several OTUs had close taxonomic affiliation to genera of diazotrophic rhizobacteria, including Rhizobium, unclassified Rhizobiales, Azospirillum, Azoarcus, unclassified Rhizobiaceae, Bradyrhizobium, Azonexus, Mesorhizobium, Devosia, Azovibrio, Azospira, Azomonas, and Azotobacter. The endophyte-enriched microbiome was restructured within roots receiving growth-promoting treatments. Compared to the untreated control, endophyte-enriched communities receiving urea and/or biofertilizer treatments were significantly reduced in OTU richness and relative read abundances. Several unique OTUs were enriched in each of the treatment communities. These alterations in structure of root-associated communities suggest dynamic interactions in the host plant microbiome, some of which may influence the well-documented positive synergistic impact of rhizobial biofertilizer inoculation plus low doses of urea-N fertilizer on growth promotion of rice, considered as one of the world's most important food crops.


Subject(s)
Endophytes/physiology , Fertilizers , Microbiota/physiology , Oryza/microbiology , Plant Roots/microbiology , Urea/metabolism , Endophytes/drug effects , Microbiota/drug effects , Oryza/drug effects , Oryza/metabolism , Plant Roots/drug effects , Plant Roots/metabolism , Rhizobiaceae/chemistry , Rhizosphere , Soil Microbiology , Urea/administration & dosage
2.
Plant Mol Biol ; 97(6): 507-523, 2018 Aug.
Article in English | MEDLINE | ID: mdl-30083951

ABSTRACT

KEY MESSAGE: The growth-promotion of rice seedling following inoculation with Sinorhizobium meliloti 1021 was a cumulative outcome of elevated expression of genes that function in accelerating cell division and enhancing cell expansion. Various endophytic rhizobacteria promote the growth of cereal crops. To achieve a better understanding of the cellular and molecular bases of beneficial cereal-rhizobia interactions, we performed computer-assisted microscopy and transcriptomic analyses of rice seedling shoots (Oryza sativa) during early stages of endophytic colonization by the plant growth-promoting Sinorhizobium meliloti 1021. Phenotypic analyses revealed that plants inoculated with live rhizobia had increased shoot height and dry weight compared to control plants inoculated with heat-killed cells of the same microbe. At 6 days after inoculation (DAI) with live cells, the fourth-leaf sheaths showed significant cytological differences including their enlargement of parenchyma cells and reduction in shape complexity. Transcriptomic analysis of shoots identified 2,414 differentially-expressed genes (DEGs) at 1, 2, 5 and 8 DAI: 195, 1390, 1025 and 533, respectively. Among these, 46 DEGs encoding cell-cycle functions were up-regulated at least 3 days before the rhizobia ascended from the roots to the shoots, suggesting that rhizobia are engaged in long-distance signaling events during early stages of this plant-microbe interaction. DEGs involved in phytohormone production, photosynthetic efficiency, carbohydrate metabolism, cell division and wall expansion were significantly elevated at 5 and 8 DAI, consistent with the observed phenotypic changes in rice cell morphology and shoot growth-promotion. Correlation analysis identified 104 height-related DEGs and 120 dry-weight-related DEGs that represent known quantitative-trait loci for seedling vigor and increased plant height. These findings provide multiple evidences of plant-microbe interplay that give insight into the growth-promotion processes associated with this rhizobia-rice beneficial association.


Subject(s)
Oryza/microbiology , Plant Shoots/growth & development , Sinorhizobium meliloti/physiology , Carbohydrate Metabolism , Cell Division/physiology , Cell Size , Gene Expression Profiling , Gene Expression Regulation, Plant , Microscopy, Confocal , Oryza/growth & development , Oryza/metabolism , Photosynthesis , Plant Leaves/growth & development , Sinorhizobium meliloti/metabolism
3.
Microb Ecol ; 69(3): 710-20, 2015 Apr.
Article in English | MEDLINE | ID: mdl-25256301

ABSTRACT

Image analysis of fractal geometry can be used to gain deeper insights into complex ecophysiological patterns and processes occurring within natural microbial biofilm landscapes, including the scale-dependent heterogeneities of their spatial architecture, biomass, and cell-cell interactions, all driven by the colonization behavior of optimal spatial positioning of organisms to maximize their efficiency in utilization of allocated nutrient resources. Here, we introduce CMEIAS JFrad, a new computing technology that analyzes the fractal geometry of complex biofilm architectures in digital landscape images. The software uniquely features a data-mining opportunity based on a comprehensive collection of 11 different mathematical methods to compute fractal dimension that are implemented into a wizard design to maximize ease-of-use for semi-automatic analysis of single images or fully automatic analysis of multiple images in a batch process. As examples of application, quantitative analyses of fractal dimension were used to optimize the important variable settings of brightness threshold and minimum object size in order to discriminate the complex architecture of freshwater microbial biofilms at multiple spatial scales, and also to differentiate the spatial patterns of individual bacterial cells that influence their cooperative interactions, resource use, and apportionment in situ. Version 1.0 of JFrad is implemented into a software package containing the program files, user manual, and tutorial images that will be freely available at http://cme.msu.edu/cmeias/. This improvement in computational image informatics will strengthen microscopy-based approaches to analyze the dynamic landscape ecology of microbial biofilm populations and communities in situ at spatial resolutions that range from single cells to microcolonies.


Subject(s)
Bacterial Physiological Phenomena , Bacteriological Techniques/methods , Biofilms , Fractals , Microscopy , Software
4.
Sensors (Basel) ; 12(6): 7047-62, 2012.
Article in English | MEDLINE | ID: mdl-22969336

ABSTRACT

This paper describes how the quantitative analytical tools of CMEIAS image analysis software can be used to investigate in situ microbial interactions involving cell-to-cell communication within biofilms. Various spatial pattern analyses applied to the data extracted from the 2-dimensional coordinate positioning of individual bacterial cells at single-cell resolution indicate that microbial colonization within natural biofilms is not a spatially random process, but rather involves strong positive interactions between communicating cells that influence their neighbors' aggregated colonization behavior. Geostatistical analysis of the data provide statistically defendable estimates of the micrometer scale and interpolation maps of the spatial heterogeneity and local intensity at which these microbial interactions autocorrelate with their spatial patterns of distribution. Including in situ image analysis in cell communication studies fills an important gap in understanding the spatially dependent microbial ecophysiology that governs the intensity of biofilm colonization and its unique architecture.


Subject(s)
Bacteria/cytology , Biofilms , Ecological and Environmental Phenomena , Image Processing, Computer-Assisted/methods , Microscopy/methods , Acyl-Butyrolactones/metabolism , Bacteria/genetics , Bacteria/growth & development , Cluster Analysis , Colony Count, Microbial , Fluorescence , Gene Expression Regulation, Bacterial , Plant Roots/cytology , Plant Roots/microbiology
5.
J Microbiol Biotechnol ; 22(6): 754-62, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22573151

ABSTRACT

Colbricon Superiore and Inferiore are two small adjacent high-mountain lakes located in the Paneveggio Natural Park (Italy) that offer the rare opportunity to study two iso-ecologic water environments differing only by area and volume in a ratio of 2:1 and 3:1, respectively. We took advantage of this setting to investigate phytoplankton dynamics, compare variability and productivity differences between the two basins, and assess size-dependent issues. The phytoplankton group of the Dinophyceae was chosen as the indicator organisms of ecological perturbation owing to their high sensitivity to environmental variations, as well as their acknowledged nature of versatile proxy to report global climatic changes. The study was conducted for over 10 years with fortnightly samplings. Results indicated that (a) the Dinophyceae communities in the smaller lake were significantly more resistant to changes exerted by the fluctuation of lakewater transparency and pH; and (b) the smaller lake sustained a consistently higher production with an average Dinophyceae density 1.73 fold higher than that of the larger lake. The coefficients of variation show that the chemical parameters in the smaller lake display higher time-related fluctuation while being spatially homogeneous and that such conditions correlate with a higher stability of the Dinophyceae assemblage. The use of this setting is also proposed as a model to test relationships between ecosystem production and physical stability.


Subject(s)
Alveolata/growth & development , Alveolata/isolation & purification , Ecosystem , Fresh Water/microbiology , Climate , Fresh Water/chemistry , Hydrogen-Ion Concentration , Italy
6.
J Microbiol Biotechnol ; 20(2): 238-44, 2010 Feb.
Article in English | MEDLINE | ID: mdl-20208425

ABSTRACT

Rhizobia are well-known for their ability to infect and nodulate legume roots, forming a nitrogen-fixing symbiosis of agricultural importance. In addition, recent studies have shown that rhizobia can colonize roots and aerial plant tissues of rice as a model plant of the Graminaceae family. Here we show that rhizobia can invade tobacco, a model plant belonging to the Solanaceae family. Inoculation of seedling roots with five GFP-tagged rhizobial species followed by microscopy and viable plating analyses indicated their colonization of the surface and interior of the whole vegetative plant. Blockage of ascending epiphytic migration by coating the hypocotyls with Vaseline showed that the endophytic rhizobia can exit the leaf interior through stomata and colonize the external phyllosphere habitat. These studies indicate rhizobia can colonize both below and above-ground tissues of tobacco using a dynamic invasion process that involves both epiphytic and endophytic lifestyles.


Subject(s)
Nicotiana/microbiology , Rhizobium/physiology , Plant Leaves/microbiology , Rhizobium/growth & development
7.
Microb Ecol ; 59(2): 400-14, 2010 Feb.
Article in English | MEDLINE | ID: mdl-20020121

ABSTRACT

Quantitative microscopy and digital image analysis are underutilized in microbial ecology largely because of the laborious task to segment foreground object pixels from background, especially in complex color micrographs of environmental samples. In this paper, we describe an improved computing technology developed to alleviate this limitation. The system's uniqueness is its ability to edit digital images accurately when presented with the difficult yet commonplace challenge of removing background pixels whose three-dimensional color space overlaps the range that defines foreground objects. Image segmentation is accomplished by utilizing algorithms that address color and spatial relationships of user-selected foreground object pixels. Performance of the color segmentation algorithm evaluated on 26 complex micrographs at single pixel resolution had an overall pixel classification accuracy of 99+%. Several applications illustrate how this improved computing technology can successfully resolve numerous challenges of complex color segmentation in order to produce images from which quantitative information can be accurately extracted, thereby gain new perspectives on the in situ ecology of microorganisms. Examples include improvements in the quantitative analysis of (1) microbial abundance and phylotype diversity of single cells classified by their discriminating color within heterogeneous communities, (2) cell viability, (3) spatial relationships and intensity of bacterial gene expression involved in cellular communication between individual cells within rhizoplane biofilms, and (4) biofilm ecophysiology based on ribotype-differentiated radioactive substrate utilization. The stand-alone executable file plus user manual and tutorial images for this color segmentation computing application are freely available at http://cme.msu.edu/cmeias/ . This improved computing technology opens new opportunities of imaging applications where discriminating colors really matter most, thereby strengthening quantitative microscopy-based approaches to advance microbial ecology in situ at individual single-cell resolution.


Subject(s)
Color , Environmental Microbiology , Image Enhancement/methods , Algorithms , Bacteria/genetics , Bacteria/growth & development , Biofilms , Ecology/methods , Microbial Viability , Pattern Recognition, Automated/methods , Phylogeny , Software
8.
FEMS Microbiol Ecol ; 63(3): 383-400, 2008 Mar.
Article in English | MEDLINE | ID: mdl-18194345

ABSTRACT

A previous analysis showed that Gammaproteobacteria could be the sole recoverable bacteria from surface-sterilized nodules of three wild species of Hedysarum. In this study we extended the analysis to eight Mediterranean native, uninoculated legumes never previously investigated regarding their root-nodule microsymbionts. The structural organization of the nodules was studied by light and electron microscopy, and their bacterial occupants were assessed by combined cultural and molecular approaches. On examination of 100 field-collected nodules, culturable isolates of rhizobia were hardly ever found, whereas over 24 other bacterial taxa were isolated from nodules. None of these nonrhizobial isolates could nodulate the original host when reinoculated in gnotobiotic culture. Despite the inability to culture rhizobial endosymbionts from within the nodules using standard culture media, a direct 16S rRNA gene PCR analysis revealed that most of these nodules contained rhizobia as the predominant population. The presence of nodular endophytes colocalized with rhizobia was verified by immunofluorescence microscopy of nodule sections using an Enterobacter-specific antibody. Hypotheses to explain the nonculturability of rhizobia are presented, and pertinent literature on legume endophytes is discussed.


Subject(s)
Bacteria/classification , Bacteria/growth & development , Fabaceae/microbiology , Nitrogen Fixation , Plant Roots/microbiology , Rhizobiaceae/growth & development , Algeria , Culture Media , DNA, Bacterial/analysis , Enterobacter/growth & development , Fabaceae/classification , Italy , Microscopy, Fluorescence , Plant Roots/ultrastructure , Polymerase Chain Reaction/methods , RNA, Ribosomal, 16S/genetics , Rhizobiaceae/classification , Rhizobiaceae/genetics , Rhizobiaceae/isolation & purification , Symbiosis
9.
FEMS Microbiol Ecol ; 56(2): 188-94, 2006 May.
Article in English | MEDLINE | ID: mdl-16629749

ABSTRACT

We used computer-assisted microscopy at single cell resolution to quantify the in situ spatial scale of N-acylhomoserine lactone (AHL)-mediated cell-to-cell communication of Pseudomonas putida colonized on tomato and wheat root surfaces. The results of this in situ quantification study on close-to-natural surfaces challenge the conventional view of a quorum group requirement of high cell densities for this type of bacterial communication. In situ image analysis indicated that the effective 'calling distance' on root surfaces was most frequent at 4-5 microm, extended to 37 microm in the root tip/elongation zone and further out to 78 microm in the root hair zone. The spatial scale of these calling distances is very long-range in proportion to the size of individual bacteria. Geostatistical modeling analysis implicated the importance of AHL-gradients mediating effective communication between remote cells. We conclude that AHL-mediated cell-to-cell communication occurs not only within dense populations, but also in very small groups and over long ranges between individual bacteria, and therefore this cellular activity is more commonplace and effective than hitherto predicted. We propose that this cell-to-cell communication is governed more by the in situ spatial proximity of cells within AHL-gradients than the requirement for a quorum group of high population density.


Subject(s)
4-Butyrolactone/analogs & derivatives , Plant Roots/microbiology , Pseudomonas/physiology , 4-Butyrolactone/metabolism , Colony Count, Microbial , Genes, Reporter , Image Processing, Computer-Assisted , Solanum lycopersicum/microbiology , Microscopy, Confocal/methods , Models, Biological , Pseudomonas/cytology , Pseudomonas/metabolism , Signal Transduction , Triticum/microbiology
10.
Appl Environ Microbiol ; 71(11): 7271-8, 2005 Nov.
Article in English | MEDLINE | ID: mdl-16269768

ABSTRACT

Rhizobia, the root-nodule endosymbionts of leguminous plants, also form natural endophytic associations with roots of important cereal plants. Despite its widespread occurrence, much remains unknown about colonization of cereals by rhizobia. We examined the infection, dissemination, and colonization of healthy rice plant tissues by four species of gfp-tagged rhizobia and their influence on the growth physiology of rice. The results indicated a dynamic infection process beginning with surface colonization of the rhizoplane (especially at lateral root emergence), followed by endophytic colonization within roots, and then ascending endophytic migration into the stem base, leaf sheath, and leaves where they developed high populations. In situ CMEIAS image analysis indicated local endophytic population densities reaching as high as 9 x 10(10) rhizobia per cm3 of infected host tissues, whereas plating experiments indicated rapid, transient or persistent growth depending on the rhizobial strain and rice tissue examined. Rice plants inoculated with certain test strains of gfp-tagged rhizobia produced significantly higher root and shoot biomass; increased their photosynthetic rate, stomatal conductance, transpiration velocity, water utilization efficiency, and flag leaf area (considered to possess the highest photosynthetic activity); and accumulated higher levels of indoleacetic acid and gibberellin growth-regulating phytohormones. Considered collectively, the results indicate that this endophytic plant-bacterium association is far more inclusive, invasive, and dynamic than previously thought, including dissemination in both below-ground and above-ground tissues and enhancement of growth physiology by several rhizobial species, therefore heightening its interest and potential value as a biofertilizer strategy for sustainable agriculture to produce the world's most important cereal crops.


Subject(s)
Oryza/growth & development , Oryza/microbiology , Plant Leaves/microbiology , Plant Roots/microbiology , Rhizobium/physiology , Colony Count, Microbial , Green Fluorescent Proteins/genetics , Green Fluorescent Proteins/metabolism , Microscopy, Confocal , Rhizobium/genetics , Rhizobium/metabolism , Rhizobium/ultrastructure
11.
Syst Appl Microbiol ; 26(1): 47-53, 2003 Mar.
Article in English | MEDLINE | ID: mdl-12747409

ABSTRACT

Neptunia natans is a unique aquatic legume indigenous to tropical and sub-tropical regions and is nodulated symbiotically by rhizobia using an unusual infection process unlike any previously described. Previously, isolates of neptunia-nodulating rhizobia from Senegal were characterized as Allorhizobium undicola. Here we report on a different group of neptunia-nodulating rhizobia isolated from India. Sequencing of the 16S rDNA gene from two of these Indian isolates (strains J1T and J2) show that they belong in the genus Devosia rather than Allorhizobium. Currently, the only described Devosia species is D. riboflavina (family Hyphomicrobiaceae, order Rhizobiales). The complete 16S rDNA sequences of strains J1T and J2 are 95.9% homologous to the type strain, D. riboflavina LMG 2277T, suggesting that these neptunia-nodulating strains from India belong to a new Devosia species. This hypothesis was confirmed by further studies of polyphasic taxonomy (DNA-DNA hybridisation, TP-RAPD patterns, SDS-PAGE of cellular proteins, 16S rDNA RFLP patterns, carbon source utilisation, cellular fatty acid analysis and other phenotypic characterisations), all of which support the proposal that these neptunia-nodulating strains constitute a new Devosia species, which we name Devosia neptuniae sp. nov. These gram negative, strictly aerobic short rods are motile by a subpolar flagellum, positive for catalase, oxidase, urease and beta-galactosidase, can utilise several carbohydrates (but not organic acids) as carbon sources and contain C18:0 3-OH, cis-7 C18:1 11-methyl and cis-7 C18:1 as their major cellular fatty acids. Unlike D. riboflavina, the longer-chain C24:1 3-OH and C26:1 3-OH hydroxy fatty acids are not detected. The type strain of D. neptuniae is LMG 21357T (CECT 5650T). Assignment of this new taxon represents the fourth example in the literature of a non-rhizobial genus of bacteria capable of forming a bonafide dinitrogen-fixing root-nodule symbiosis with legume plants.


Subject(s)
Alphaproteobacteria/classification , Fabaceae/microbiology , Nitrogen Fixation , Water Microbiology , Alphaproteobacteria/genetics , Alphaproteobacteria/metabolism , Alphaproteobacteria/ultrastructure , DNA Probes , Electrophoresis, Polyacrylamide Gel , Fabaceae/classification , Fatty Acids/analysis , Fatty Acids/chemistry , India , Molecular Sequence Data , Phenotype , Plant Roots/microbiology , Polymorphism, Restriction Fragment Length , Random Amplified Polymorphic DNA Technique , Symbiosis
12.
Appl Environ Microbiol ; 68(11): 5217-22, 2002 Nov.
Article in English | MEDLINE | ID: mdl-12406707

ABSTRACT

Rhizobia are the common bacterial symbionts that form nitrogen-fixing root nodules in legumes. However, recently other bacteria have been shown to nodulate and fix nitrogen symbiotically with these plants. Neptunia natans is an aquatic legume indigenous to tropical and subtropical regions and in African soils is nodulated by Allorhizobium undicola. This legume develops an unusual root-nodule symbiosis on floating stems in aquatic environments through a unique infection process. Here, we analyzed the low-molecular-weight RNA and 16S ribosomal DNA (rDNA) sequence of the same fast-growing isolates from India that were previously used to define the developmental morphology of the unique infection process in this symbiosis with N. natans and found that they are phylogenetically located in the genus Devosia, not Allorhizobium or RHIZOBIUM: The 16S rDNA sequences of these two Neptunia-nodulating Devosia strains differ from the only species currently described in that genus, Devosia riboflavina. From the same isolated colonies, we also located their nodD and nifH genes involved in nodulation and nitrogen fixation on a plasmid of approximately 170 kb. Sequence analysis showed that their nodD and nifH genes are most closely related to nodD and nifH of Rhizobium tropici, suggesting that this newly described Neptunia-nodulating Devosia species may have acquired these symbiotic genes by horizontal transfer.


Subject(s)
Alphaproteobacteria/classification , Fabaceae/microbiology , Plant Roots/microbiology , Symbiosis , Alphaproteobacteria/genetics , Alphaproteobacteria/metabolism , Bacterial Proteins/genetics , Fabaceae/metabolism , Nitrogen Fixation , Oxidoreductases/genetics , Phylogeny , Plant Roots/metabolism , Plasmids/genetics , RNA, Bacterial/analysis , RNA, Bacterial/genetics , RNA, Ribosomal, 16S/analysis , RNA, Ribosomal, 16S/genetics
13.
Int J Syst Evol Microbiol ; 52(Pt 4): 1267-1276, 2002 Jul.
Article in English | MEDLINE | ID: mdl-12148639

ABSTRACT

This work is the completion of a series of reports describing the nitrogen-fixing bacterial symbionts of sulla (Hedysarum coronarium L., Leguminosae) and providing the grounds for their proposal as a new taxon. The introduction summarizes a large amount of previous evidence gathered on the physiology, genetics and ecology of such organisms, which have in the past been referred to provisionally as 'Rhizobium hedysari'. Upon adding 16S RNA sequencing, amplified rDNA restriction analysis of the rrn operon, DNA-DNA hybridization homology and analysis of low-molecular-mass RNA species, it is concluded that the group of strains that specifically nodulate sulla consists of a coherent set of isolates that differ from previously described rhizobia to an extent that warrants the constitution of the species boundary. The name Rhizobium sullae sp. nov. is proposed, with isolate 1S123T (=USDA 4950T = DSM 14623T) as the type strain.


Subject(s)
Fabaceae/microbiology , Nitrogen Fixation , Plant Roots/microbiology , Rhizobium/classification , Symbiosis , Acyltransferases/genetics , Bacterial Proteins , DNA, Ribosomal , Electrophoresis/methods , Fabaceae/growth & development , Hydrogen-Ion Concentration , Microscopy, Electron , Molecular Sequence Data , Nitrogen Fixation/genetics , Nucleic Acid Hybridization , RNA, Ribosomal, 16S , Restriction Mapping , Rhizobium/genetics , Sequence Alignment , Soil/analysis , rRNA Operon
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