AIMC Topic: Bradyrhizobium
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Use of high-content analysis and machine learning to characterize complex microbial samples via morphological analysis.
PloS one
Sep 23, 2019
High Content Analysis (HCA) has become a cornerstone of cellular analysis within the drug discovery industry. To expand the capabilities of HCA, we have applied the same analysis methods, validated in numerous mammalian cell models, to microbiology m...
Soybean inoculants in Brazil: an overview of quality control.
Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
Nov 29, 2018
The bacterial strains SEMIA 587 and 5019 (Bradyrhizobium elkanii), 5079 (Bradyrhizobium japonicum), and 5080 (Bradyrhizobium diazoefficiens) are recommended for soybean inoculants in Brazil. In several countries, the current regulations are insuffici...
Fungicide tolerant Bradyrhizobium japonicum mitigate toxicity and enhance greengram production under hexaconazole stress.
Journal of environmental sciences (China)
Jul 26, 2018
Bacterial strain RV9 recovered from greengram nodules tolerated 2400μg/mL of hexaconazole and was identified by 16S rDNA sequence analysis as Bradyrhizobium japonicum (KY940048). Strain RV9 produced IAA (61.6μg/mL), ACC deaminase (51.7mg/(protein·hr)...
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