Tracking maize colonization and growth promotion by Azospirillum reveals strain-specific behavior and the influence of inoculation method.

Inoculation of Azospirillum in maize has become a standard practice in Latin America. However, information on the behavior and population survival of the Azospirillum post-inoculation is scarce, making standardization difficult and generating variations in inoculation efficiency across assays. In this study, we tracked the colonization of three agriculturally relevant Azospirillum strains (Ab-V5, Az39, and the ammonium excreting HM053) after different inoculation methods in maize crops by qPCR. Besides, we assessed their ability to promote maize growth by measuring biometric parameters after conducting a greenhouse essay over 42 days. Inoculated plants exhibited Azospirillum population ranging from 103 to 107 cells plant-1 throughout the experiment. While all strains efficiently colonized roots, only A. argentinense Az39 demonstrated bidirectional translocation between roots and shoots, which characterizes a systemic behavior. Optimal inoculation methods for plant growth promotion varied among strains: soil inoculation promoted the best maize growth for the Ab-V5 and Az39 strains, while seed inoculation proved most effective for HM053. The findings of this study demonstrate that the inoculation method affects the behavior of Azospirillum strains and their effectiveness in promoting maize growth, thereby guiding practices to enhance crop yield.

Molecular Techniques to Study Microbial Wastewater Communities

Abstract wastewater treatment (WT) is of major importance on modern cities, removing wastewater pollutants resultant from anthropogenic activities. The unique abilities of microbes to degrade organic matter, remove nutrients and transform toxic compounds into harmless products make them essential players in waste treatment. The microbial diversity determines the metabolic pathways that may occur in WT and quality of treated wastewater. Therefore, understanding WT microbial community structure, distribution, and metabolic functioning is essential for development and optimization of efficient microbial engineering systems. Since cultivation methods can only detect a small fraction of the microbial diversity, the use of culture-independent molecular methods has circumvented this issue, allowing unprecedented access to genes and genomes used for microbial composition and function evaluation. Traditional approaches like RAPD, DGGE, ARDRA, RISA, SSCP, T-RFLP, and FISH and modern approaches like microarray, qPCR, and metagenomics are essential techniques for identifying and depicting the total microbial community structure and their interaction with environmental and biotic factors. Thus, this review describes traditional and state of the art molecular techniques which provide insights into phylogenetic and functional activities of microbial assemblages in a WT system.

Liming and Nitrogen Fertilization Effects on Soil Microbial Community in Long Term No-till

Abstract Soil management influences organic matter decomposition rates as well soil microbial community functional behavior. No-till (NT) is the most used management system by farmers due to its conservation practices and high productivity. The main objective of this study was to evaluate the impact of surface-applied lime, nitrogen (N) application, and black oat residues on soil microbial community of a Typic Hapludox under continuous NT. Therefore, soil chemical attributes, microbial biomass carbon, basal respiration, metabolic quotient, most probable number of diazotrophs, as well as bacterial functional analysis were performed. The effect of liming and N fertilization amendments inputs were saw in soil respiration and metabolic quotient measurements, showing them to be good indicators of soil quality. Further studies should be carried out in order to molecularly identify microbial communities present in soils with different liming and N fertilization management to evaluate the behavior of specific bacterial taxa under such conditions.