2021
DOI: 10.15835/nbha49212294
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Plant growth-promoting rhizobacteria associated to candelilla rhizosphere (Euphorbia antisyphilitica) and its effects on Arabidopsis thaliana seedlings

Abstract: In the communities of Sierra Mojada and Viesca, Coahuila, Mexico of Coahuila desert, two rhizosphere samplings of candelilla (Euphorbia antisyphilitica Zucc) were collected to isolate, characterize, and identifying plant growth-promoting rhizobacteria (PGPR); 165 rhizobacteria were tested in vitro with Arabidopsis thaliana seedlings to evaluate their potential as plant growth promoters, and obtaining 21 strains with best results in the variables of the number of secondary roots and fresh weight concerning the … Show more

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Cited by 5 publications
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“…Denoise the sequences using the deblur plugin 22 .The sequencing error bases were corrected and the retained sequence length was ensured to have more than 99.50% of the sequences meeting the requirements. Microbial data mining was performed using the feature table generated after denoising, and OTUs were annotated at 97% similarity using the SILVA database 23,24 .Microbial community structural diversity was calculated using the diversity plugin of QIIME2, alpha diversity was generated and non-parametric tests were performed using Kruskal-Wallis test, distance matrices for beta diversity were generated and plotted in R language (version 4.0.3) using the vegan package and ggplot2 package PCoA plots, and ANOSIM analysis was performed on each distance matrix using the vegan package. Species stacked histograms were generated using the taxa plugin for QIIME2 to count microbial species at different taxonomic levels and plotted using ggplot2 in the R language.…”
Section: Sequence Analysis Of 16s Rrna Ampliconsmentioning
confidence: 99%
“…Denoise the sequences using the deblur plugin 22 .The sequencing error bases were corrected and the retained sequence length was ensured to have more than 99.50% of the sequences meeting the requirements. Microbial data mining was performed using the feature table generated after denoising, and OTUs were annotated at 97% similarity using the SILVA database 23,24 .Microbial community structural diversity was calculated using the diversity plugin of QIIME2, alpha diversity was generated and non-parametric tests were performed using Kruskal-Wallis test, distance matrices for beta diversity were generated and plotted in R language (version 4.0.3) using the vegan package and ggplot2 package PCoA plots, and ANOSIM analysis was performed on each distance matrix using the vegan package. Species stacked histograms were generated using the taxa plugin for QIIME2 to count microbial species at different taxonomic levels and plotted using ggplot2 in the R language.…”
Section: Sequence Analysis Of 16s Rrna Ampliconsmentioning
confidence: 99%