Integrating Microbiome Network: Establishing Linkages Between Plants, Microbes and Human Health

Process optimization of cypermethrin biodegradation by regression analysis and parametric modeling along with biochemical degradation pathway

Pyrethroid pesticides are of great environmental and health concern with regard to neurotoxicity and ubiquitous occurrence. Here, we reported a new bacterial strain identified as Bacillus cereus AKAD 3-1 that degraded 88.1% of 50 mg/l of cypermethrin in an aqueous medium. The biodegradation of cypermethrin was optimized by CCD (central composite design) and validated by ANN-GA (artificial neural network-genetic algorithm). Both the approaches proved to possess good performance in modeling and optimizing the growth conditions. Results indicated that the process variables have a significant (< 0.0001) impact on cypermethrin biodegradation. Moreover, the predicted CCD model had a "lack of fit p-value" of "0.9975." The optimum CCD and ANN model had an R² value of 0.9703 and 0.9907, indicating that the two models' experimental and predicted values are closely fitted. The isolate successfully converted cypermethrin to CO₂ and phenol without producing any toxic metabolite. Finally, a degradation pathway was proposed with the intermediate compounds identified by GC-MS. The present study highlights an important potential application of strain AKAD 3-1 for the in situ bioremediation of cypermethrin-contaminated environments.

Harnessing microbial multitrophic interactions for rhizosphere microbiome engineering

The rhizosphere is a narrow and dynamic region of plant root-soil interfaces, and it's considered one of the most intricate and functionally active ecosystems on the Earth, which boosts plant health and alleviates the impact of biotic and abiotic stresses. Improving the key functions of the microbiome via engineering the rhizosphere microbiome is an emerging tool for improving plant growth, resilience, and soil-borne diseases. Recently, the advent of omics tools, gene-editing techniques, and sequencing technology has allowed us to unravel the entangled webs of plant-microbes interactions, enhancing plant fitness and tolerance to biotic and abiotic challenges. Plants secrete signaling compounds with low molecular weight into the rhizosphere, that engage various species to generate a massive deep complex array. The underlying principle governing the multitrophic interactions of the rhizosphere microbiome is yet unknown, however, some efforts have been made for disease management and agricultural sustainability. This review discussed the intra- and inter- microbe-microbe and microbe-animal interactions and their multifunctional roles in rhizosphere microbiome engineering for plant health and soil-borne disease management. Simultaneously, it investigates the significant impact of immunity utilizing PGPR and cover crop strategy in increasing rhizosphere microbiome functions for plant development and protection using omics techniques. The ecological engineering of rhizosphere plant interactions could be used as a potential alternative technology for plant growth improvement, sustainable disease control management, and increased production of economically significant crops.

Taxonomical and functional bacterial community profiling in disease-resistant and disease-susceptible soybean cultivars

Highly varied bacterial communities inhabiting the soybean rhizosphere perform important roles in its growth and production; nevertheless, little is known about the changes that occur in these communities under disease-stress conditions. The present study investigated the bacterial diversity and their metabolic profile in the rhizosphere of disease-resistant (JS-20-34) and disease-susceptible (JS-335) soybean (Glycine max (L.) Merr.) cultivars using 16S rRNA amplicon sequencing and community-level physiological profiling (CLPP). In disease-resistant soybean (AKADR) samples, the most dominating phyla were Actinobacteria (40%) followed by Chloroflexi (24%), Proteobacteria (20%), and Firmicutes (12%), while in the disease-susceptible (AKADS) sample, the most dominating phyla were Proteobacteria (35%) followed by Actinobacteria (27%) and Bacteroidetes (17%). Functional profiling of bacterial communities was done using the METAGENassist, and PICRUSt2 software, which shows that AKADR samples have more ammonifying, chitin degrading, nitrogen-fixing, and nitrite reducing bacteria compared to AKADS rhizosphere samples. The bacterial communities present in disease-resistant samples were significantly enriched with genes involved in nitrogen fixation, carbon fixation, ammonification, denitrification, and antibiotic production. Furthermore, the CLPP results show that carbohydrates and carboxylic acids were the most frequently utilized nutrients by the microbes. The principal component analysis (PCA) revealed that the AKADR soils had higher functional activity (strong association with the Shannon-Wiener index, richness index, and hydrocarbon consumption) than AKADS rhizospheric soils. Overall, our findings suggested that the rhizosphere of resistant varieties of soybean comprises of beneficial bacterial population over susceptible varieties.

Associations detected between measures of neighborhood environmental conditions and human microbiome diversity

While emerging research suggests urban green space revegetation increases soil microbiota diversity and native plant species affect skin microbiome diversity, there is still a paucity of knowledge on relationships between neighborhood environmental conditions and the human microbiome. This study leveraged data on human microbiome samples (nose, mouth, rectum) taken at autopsy at the Wayne County Medical Examiner's Office (2014-2015). We evaluated relationships between the microbiome and five measures of environmental conditions (NDVI standard deviation, NDVI mean, percent trees, percent grassland and soil type) near the home of 126 decedents. For the rectum microbiome, NDVI sd had negative, significant associations with diversity (ASVs β = -0.20, p = 0.045; Faith PD β = -0.22, p = 0.026). In contrast, while insignificant, there were consistent, positive associations between diversity and NDVI sd for the mouth microbiome (ASVs β = 0.09, p = 0.337, Faith PD β = 0.14, p = 0.149, Shannon diversity β = 0.14, p = 0.159, Heip's evenness β = 0.11, p = 0.259) and a significant association for the nose microbiome (eigenvalues 3 β = 0.18, p = 0.057). We found consistent, significant, negative associations between percent grassland and diversity of the nose microbiome (ASVs β = -0.25, p = 0.008, Faith PD β = -0.25, p = 0.009, Shannon diversity β = -0.17, p = 0.062). For the mouth microbiome, we found a small effect of percent trees on diversity (eigenvalues 1 β = -0.08, p = 0.053). Clay loam soil was negatively (eigenvalues 2 β = -0.47, p = 0.053) and positively associated (eigenvalues 3 β = 0.65, p = 0.008) with rectum microbiome diversity, compared to loam soil. There was no potential indicator taxon among NDVI quartiles. These findings may be relevant for urban planning and management of urban outdoor spaces in ways that may support healthy human microbiomes. Still, future research is needed to link variation in NDVI, vegetation, plant and/or soil microbe diversity and to confirm or negate our findings that environmental conditions may have contrasting influence on the microbiome of the rectum versus the nose and mouth and that grasslands affect the nose microbiome.

Plants endophytes: unveiling hidden agenda for bioprospecting toward sustainable agriculture

Endophytic microbes are present in nearly all of the plant species known to date but how they enter and flourish inside a host plant and display multiple benefits like plant growth promotion (PGP), biodegradation, and stress alleviation are still unexplored. Until now, the majority of the research has been conducted assuming that the host-endophyte interaction is analogous to the PGP microbes, although, studies related to the mechanisms of their infection, colonization as well as conferring important traits to the plants are limited. It would be fascinating to explore the role of these endophytic microbes in host gene expression, metabolism, and the modulation of phenotypic traits, under abiotic and biotic stress conditions. In this review, we critically focused on the following areas: (i) endophytic lifestyle and the mechanism of their entry into plant tissues, (ii) how endophytes modulate the immune system of plants and affect the genotypic and phenotypic expression of host plants under abiotic and biotic stress condition, and (iii) the role of omics and other integrated genomic approaches in unraveling complex host-endophyte signaling crosstalk. Furthermore, we discussed their role in phytoremediation of heavy metal stress and whole genomic analysis based on an understanding of different metabolic pathways these endophytes utilize to combat stress.