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      Caracterización de rizobacterias promotoras de crecimiento en plántulas de Eucalyptus nitens Translated title: Characterization of growth-promoting rhizobacteria in Eucalyptus nitens seedlings

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          Abstract

          Se aislaron bacterias rizosféricas y endófitas a partir de rizósfera y tejidos de raíz de árboles de Eucalyptus nitens con el objetivo de evaluar su capacidad de promover el crecimiento en plántulas de la misma especie en condiciones de invernadero. Los aislamientos que incrementaron el crecimiento de las plántulas fueron identificados y caracterizados por su capacidad de producir ácido indolacético (AIA), solubilizar fosfato y expresar la 1-aminociclopropano-1-carboxilato (ACC) desaminasa. Los 105 aislamientos obtenidos fueron morfológicamente diferentes y solo 15 promovieron significativamente el crecimiento de plántulas de E. nitens. Los máximos incrementos observados fueron en el peso seco aéreo (142 %) y de la raíz (135 %); también aumentaron la altura de las plantas (50 %) y el largo de raíces (45 %) de las mismas. Las rizobacterias pertenecieron a los géneros Arthrobacter, Lysinibacillus, Rahnella y Bacillus. Los aislados identificados como A. phenanthrenivorans 21 y B. cereus 113 incrementaron la emergencia de E. nitens a los 12 días en un valor promedio de 3,15 veces con relación al control. R. aquatilis aislado 78 presentó la mayor producción de AIA (97,5 ± 2,87 μg/ml) en presencia de triptófano y el mayor índice de solubilización de fósforo (2,4). B. amyloliquefaciens aislado 60 fue positivo para la actividad ACC desaminasa. Los resultados obtenidos indican el potencial de las rizobacterias estudiadas como promotoras de emergencia y crecimiento de plántulas de E. nitens y su posible uso como inoculantes, ya que presentan más de un mecanismo de acción asociado a la promoción del crecimiento.

          Translated abstract

          Rhizospheric and endophytic bacteria were isolated from the rizosphere and root tissue of Eucalyptus nitens. The objective of this work was to evaluate their capacity to promote growth in seedlings of the same species under greenhouse conditions. The isolates that improved seedling growth were identified and characterized by their capacity to produce indoleacetic acid (IAA), solubilize phosphates and increase 1-aminocyclopropane-1-carboxylate (ACC) deaminase activity. One hundred and five morphologically different strains were isolated, 15 of which promoted E. nitens seedling growth, significantly increasing the height (50%), root length (45%) as well as the aerial and root dry weight (142% and 135% respectively) of the plants. Bacteria belonged to the genus Arthrobacter, Lysinibacillus, Rahnella and Bacillus. Isolates A. phenanthrenivorans 21 and B. cereus 113 improved 3.15 times the emergence of E. nitens after 12 days, compared to control samples. Among isolated R. aquatilis, 78 showed the highest production of IAA (97.5±2.87 μg/ml) in the presence of tryptophan and the highest solubilizer index (2.4) for phosphorus, while B. amyloliquefaciens 60 isolate was positive for ACC deaminase activity. Our results reveal the potential of the studied rhizobacteria as promoters of emergence and seedling growth of E. nitens, and their possible use as PGPR inoculants, since they have more than one mechanism associated with plant growth promotion.

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          Categorical Data Analysis

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            Confidence Limits on Phylogenies: An Approach Using the Bootstrap

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              Prospects for inferring very large phylogenies by using the neighbor-joining method.

              Current efforts to reconstruct the tree of life and histories of multigene families demand the inference of phylogenies consisting of thousands of gene sequences. However, for such large data sets even a moderate exploration of the tree space needed to identify the optimal tree is virtually impossible. For these cases the neighbor-joining (NJ) method is frequently used because of its demonstrated accuracy for smaller data sets and its computational speed. As data sets grow, however, the fraction of the tree space examined by the NJ algorithm becomes minuscule. Here, we report the results of our computer simulation for examining the accuracy of NJ trees for inferring very large phylogenies. First we present a likelihood method for the simultaneous estimation of all pairwise distances by using biologically realistic models of nucleotide substitution. Use of this method corrects up to 60% of NJ tree errors. Our simulation results show that the accuracy of NJ trees decline only by approximately 5% when the number of sequences used increases from 32 to 4,096 (128 times) even in the presence of extensive variation in the evolutionary rate among lineages or significant biases in the nucleotide composition and transition/transversion ratio. Our results encourage the use of complex models of nucleotide substitution for estimating evolutionary distances and hint at bright prospects for the application of the NJ and related methods in inferring large phylogenies.
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                Author and article information

                Journal
                ram
                Revista argentina de microbiología
                Rev. argent. microbiol.
                Asociación Argentina de Microbiología (Ciudad Autónoma de Buenos Aires, , Argentina )
                0325-7541
                1851-7617
                December 2014
                : 46
                : 4
                : 338-347
                Affiliations
                [01] Concepción orgnameUniversidad de Concepción orgdiv1Centro de Biotecnología Chile
                [03] Los Ángeles Bío-Bío orgnameForestal Mininco Chile
                [02] Concepción orgnameUniversidad de Concepción orgdiv1Facultad de Ciencias Forestales Chile
                Article
                S0325-75412014000500011 S0325-7541(14)04600400011
                10.1016/S0325-7541(14)70093-8
                b9281d3f-a186-40c5-bb42-dce8cadc42e9

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 01 August 2014
                : 10 September 2014
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 92, Pages: 10
                Product

                SciELO Argentina

                Categories
                Artículo original

                Eucalyptus nitens,PGPR,Indoleacetic acid,Phosphate solubilizing bacteria,ACC deaminase,Ácido indolacético,Bacterias solubilizadoras de fósforo,ACC desaminasa

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