: Current study looked into how well microorganisms, both those already known and newly found, from the surface of plants in gardens in southern and southeastern Kazakhstan could fight against other harmful microbes. We evaluated the effectiveness of 16 strains of lactic acid bacteria, 11 strains from the Bacillus and Pseudomonas genera, and 7 strains of Trichoderma fungi (all sourced from SPC Microbiology and Virology LLP), along with 135 epiphytic microorganisms, against four major rot-causing pathogens: Penicillium chrysogenum, Monilinia fructigena, Alternaria alternata, and Fusarium sporotrichioides. Out of 16 lactic acid bacteria strains, 11 showed antagonistic activity, primarily against M . fructigena, and to a lesser extent, other pathogens. Lactobacillus casei 32 exhibited the strongest inhibitory effect. Among the bacterial cultures screened, only the Bacillus amyloliquefaciens strain was found to suppress the growth of specific pathogens. Among the 7 fungal strains of the genus Trichoderma , 4 had significant antagonistic activity. The maximum zone of pathogen suppression was found in the strain T. asperellum 30. Screening of potential antagonist microorganisms from microbial populations isolated from the surface of apple fruits revealed that only 1 isolate of the bacterial flora had inhibitory activity against the pathogen M. fructigena . The following microorganisms with maximum antagonistic activity are promising biocontrol agents against fruit rot: Lactobacillus casei 32, B. amyloliquefaciens and T. asperellum 30 .
E. Ismailova, N. Kuldybayev, G. Baimakhanova et al.· OnLine Journal of Biological...· 0 citations
Soil microbiomes are essential for nutrient cycling, plant health, stress resilience, and sustainable agriculture. Recent advances in high-throughput sequencing, multi-omics technologies, systems biology, and artificial intelligence (AI) have transformed our understanding of plant–microbiome interactions and enabled the development of innovative microbiome engineering strategies. This review provides a comprehensive overview of the mechanisms governing plant-associated soil microbiome assembly, microbial community functions, plant–microbe communication, and microbiome-mediated stress resistance in agricultural ecosystems. Current approaches to plant-associated soil microbiome manipulation and engineering, including microbial inoculants, synthetic microbial communities (SynComs), microbiome transplantation, rhizosphere steering, and synthetic biology-based interventions, are critically examined. The review further discusses the growing role of metagenomics, metabolomics, metatranscriptomics, machine learning (ML), and precision agriculture technologies in improving microbiome characterization, prediction, and management. Particular attention is given to the application of microbiome-based solutions for sustainable crop production, nutrient management, biological control, climate-smart agriculture, and ecosystem restoration. Despite significant progress, challenges related to field-scale variability, colonization stability, biosafety, regulatory frameworks, and data integration continue to limit large-scale implementation. Future advances in precision microbiome engineering are expected to combine ecological principles, multi-omics technologies, AI, and synthetic biology to develop predictive and resilient microbiome-based solutions for sustainable and climate-resilient agriculture.
A. Sadanov, G. Baimakhanova, B. Baimakhanova et al.· Microorganisms· 0 citations
Findings highlight the potential of indigenous rhizosphere microorganisms as biological control agents for the management of wheat root rot pathogens and identify the Bacillus strain showing the strongest growth-promoting effect.
N. Kuldybayev, A. Sadanov, G. Baimakhanova et al.· Brazilian Journal of Biology· 0 citations
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