OBPC Symposium: Maize 2004 & beyond—Intracellular colonization of cereals and other crop plants by nitrogen-fixing bacteria for reduced inputs of synthetic nitrogen fertilizers

2005 ◽  
Vol 41 (4) ◽  
pp. 369-373 ◽  
Author(s):  
Edward C. Cocking
2014 ◽  
Vol 80 (18) ◽  
pp. 5636-5643 ◽  
Author(s):  
Rahul A. Bahulikar ◽  
Ivone Torres-Jerez ◽  
Eric Worley ◽  
Kelly Craven ◽  
Michael K. Udvardi

ABSTRACTSwitchgrass (Panicum virgatumL.) is a perennial C4grass native to North America that is being developed as a feedstock for cellulosic ethanol production. Industrial nitrogen fertilizers enhance switchgrass biomass production but add to production and environmental costs. A potential sustainable alternative source of nitrogen is biological nitrogen fixation. As a step in this direction, we studied the diversity of nitrogen-fixing bacteria (NFB) associated with native switchgrass plants from the tallgrass prairie of northern Oklahoma (United States), using a culture-independent approach. DNA sequences from the nitrogenase structural gene,nifH, revealed over 20 putative diazotrophs from the alpha-, beta-, delta-, and gammaproteobacteria and the firmicutes associated with roots and shoots of switchgrass. Alphaproteobacteria, especially rhizobia, predominated. Sequences derived fromnifHRNA indicated expression of this gene in several bacteria of the alpha-, beta-, delta-, and gammaproteobacterial groups associated with roots. Prominent among these wereRhizobiumandMethylobacteriumspecies of the alphaproteobacteria,BurkholderiaandAzoarcusspecies of the betaproteobacteria, andDesulfuromonasandGeobacterspecies of the deltaproteobacteria.


Poljoprivreda ◽  
2020 ◽  
Vol 26 (2) ◽  
pp. 65-71
Author(s):  
Suzana Kristek ◽  
◽  
Sandra Brkić ◽  
Jurica Jović ◽  
Andrej Stanković ◽  
...  

The aim of this study was to examine the possibilities of reducing the mineral nitrogen fertilizers by applying the free‐living (Azotobacter chroococcum) and associative (Azospirillum brasilense) nitrifying bacteria in the sugar beet production, without a reduction in the yield and quality of the sugar beet root. Along with the vegetables, most nitrates are collected by the species of the family Chenopodiaceae, to which the sugar beet belongs. Nitrogen is one of the most vital elements in the achievement of high yields, so it is used in large quantities in fertilization. However, it is the most unstable macroelement that flushes into the deeper soil layers, and a groundwater eutrophication is caused very often. Numerous diseases are associated with the high amounts of nitrates, nitrites, and nitroso compounds, i.e., the nitrite and nitroso compounds originating from the foodstuffs having a plant origin, water, and the cured meat products. The results of the study have demonstrated that it is possible to reduce a mineral nitrogen fertilizer quantity by using the nitrogen‐fixing bacteria while even obtaining a higher quality of the studied parameters. The nitrogen‐fixing bacteria predominate in the rhizosphere, so the plants could use the amounts of nitrogen necessary in a given vegetation period, which is not the case upon a nitrogen fertilization.


2021 ◽  
Vol 15 (1) ◽  
pp. 16-23
Author(s):  
Asrul Asrul ◽  
I Nyoman Pugeg Aryantha

Nitrogen is a macro nutrient needed by plants. Generally, people use inorganic fertilizers to fulfill nitrogen nutrients in plants. The problem then is, the continuous use of synthetic nitrogen fertilizers has a direct negative impact on the soil and a derivative impact on human health. The use of microorganisms, in this case bacteria, to provide nitrogen to plants can be done by isolating it and making it a biological fertilizer agent. Nitrogen fixing bacteria was isolated on the land of the oil palm plantation of PT Astra Agro Lestari. The isolated nitrogen-fixing bacteria were then tested quantitatively for their ability to fix nitrogen. The bacteria with the highest nitrogen fixing ability were then identified by sequencing their DNA nucleotide bases so that the bacterial strains were identified. The result is that there are 13 bacteria that are able to fix nitrogen with the codes J1, J3, Q5, L1, L11, J31, D1, M6, M5, R1, P2, J4 and C7. The quantitative test shows that bacteria with code D1 are the best at fixing nitrogen in the form of NH4, namely 0.27 ppm. The results of D1 bacterial DNA nucleotide base sequencing showed that the putitive Bacillus aerius strain 24K with identical values ​​and query cover reach    


2014 ◽  
Vol 71 (3) ◽  
pp. 171-180 ◽  
Author(s):  
Bruno Lima Soares ◽  
Paulo Avelar Ademar Ferreira ◽  
Silvia Maria de Oliveira-Longatti ◽  
Leandro Marciano Marra ◽  
Marcia Rufini ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Luz K. Medina-Cordoba ◽  
Aroon T. Chande ◽  
Lavanya Rishishwar ◽  
Leonard W. Mayer ◽  
Lina C. Valderrama-Aguirre ◽  
...  

AbstractPrevious studies have shown the sugarcane microbiome harbors diverse plant growth promoting microorganisms, including nitrogen-fixing bacteria (diazotrophs), which can serve as biofertilizers. The genomes of 22 diazotrophs from Colombian sugarcane fields were sequenced to investigate potential biofertilizers. A genome-enabled computational phenotyping approach was developed to prioritize sugarcane associated diazotrophs according to their potential as biofertilizers. This method selects isolates that have potential for nitrogen fixation and other plant growth promoting (PGP) phenotypes while showing low risk for virulence and antibiotic resistance. Intact nitrogenase (nif) genes and operons were found in 18 of the isolates. Isolates also encode phosphate solubilization and siderophore production operons, and other PGP genes. The majority of sugarcane isolates showed uniformly low predicted virulence and antibiotic resistance compared to clinical isolates. Six strains with the highest overall genotype scores were experimentally evaluated for nitrogen fixation, phosphate solubilization, and the production of siderophores, gibberellic acid, and indole acetic acid. Results from the biochemical assays were consistent and validated computational phenotype predictions. A genotypic and phenotypic threshold was observed that separated strains by their potential for PGP versus predicted pathogenicity. Our results indicate that computational phenotyping is a promising tool for the assessment of bacteria detected in agricultural ecosystems.


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