scholarly journals Production and analysis of tomato Solanum lycopersicum composite plants carrying the genes of pea Pisum sativum receptors to rhizobial signaling molecules

Author(s):  
E. S. Rudaya ◽  
E. A. Dolgikh

The interaction of composite tomato plants carrying constructs with pea genes encoding receptors to Nod factors, with nitrogen-fixing bacteria rhizobia was investigated.


Author(s):  
V.V. Martynenko ◽  
A.B. Rysbek ◽  
A.A. Kurmanbayev ◽  
Zh.A. Baigonusova

A field experiment of a biological preparation based on the association of nitrogen-fixing bacteria was carried out. The composition includes active and compatible strains of nitrogen-fixing and nodule bacteria. As a result, the biological preparation had a positive effect on germination, length and vegetative mass of peas. The results of research indicate the perspective of the industrially valuable strains of this association. Optimal conditions for the work of the biological preparation are light mechanical composition of the soil and the provision of moisture during the growing season of plants. This preparation may be recommended for use in the Northern regions of Kazakhstan.



2021 ◽  
Vol 9 (12) ◽  
pp. 2458
Author(s):  
Alexey M. Afonin ◽  
Emma S. Gribchenko ◽  
Evgeny A. Zorin ◽  
Anton S. Sulima ◽  
Vladimir A. Zhukov

Rhizobium leguminosarum (Rl) is a common name for several genospecies of rhizobia able to form nitrogen-fixing nodules on the roots of pea (Pisum sativum L.) while undergoing terminal differentiation into a symbiotic form called bacteroids. In this work, we used Oxford Nanopore sequencing to analyze the genome methylation states of the free-living and differentiated forms of the Rl strain RCAM1026. The complete genome was assembled; no significant genome rearrangements between the cell forms were observed, but the relative abundances of replicons were different. GANTC, GGCGCC, and GATC methylated motifs were found in the genome, along with genes encoding methyltransferases with matching predicted target motifs. The GGCGCC motif was completely methylated in both states, with two restriction–modification clusters on different replicons enforcing this specific pattern of methylation. Methylation patterns for the GANTC and GATC motifs differed significantly depending on the cell state, which indicates their possible connection to the regulation of symbiotic differentiation. Further investigation into the differences of methylation patterns in the bacterial genomes coupled with gene expression analysis is needed to elucidate the function of bacterial epigenetic regulation in nitrogen-fixing symbiosis.





1972 ◽  
Vol 22 (4) ◽  
pp. 541-558 ◽  
Author(s):  
Susan Hill ◽  
J. W. Drozd ◽  
J. R. Postgate


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.



Sign in / Sign up

Export Citation Format

Share Document