Fusarium graminearum is a devasting mycotoxin-producing pathogen of grain crops. F. graminearum has been extensively studied to understand its pathogenicity and virulence factors. These studies gained momentum with the advent of next-generation sequencing (NGS) technologies and proteomics. NGS and proteomics have enabled the discovery of a multitude of pathogenicity and virulence factors of F. graminearum. This current review aimed to trace progress made in discovering F. graminearum pathogenicity and virulence factors in general, as well as pathogenicity and virulence factors discovered using NGS, and to some extent, using proteomics. We present more than 100 discovered pathogenicity or virulence factors and conclude that although a multitude of pathogenicity and virulence factors have already been discovered, more work needs to be done to take advantage of NGS and its companion applications of proteomics.

Symbiotic associations with rhizospheric microbial communities coupled with the production of metabolites are key adaptive mechanisms by metallophytes to overcome metal stress. However, little is known about pseudometallophyte Phragmites australis interactions with fungal community despite commonly being applied in wetland phytoremediation of acid mine drainage (AMD). In this study, fungal community diversity and metabolomes production by rhizosphere and root endosphere of P. australis growing under three different AMD pollution gradient were analyzed. Our results highlight the following: 1) Ascomycota and Basidiomycota were dominant phyla, but the diversity and richness of taxa were lower within AMD sites with Penicillium, Candida, Saccharomycetales, Vishniacozyma, Trichoderma, Didymellaceae, and Cladosporium being enriched in the root endosphere and rhizosphere in AMD sites than non-AMD site; 2) non-metric multidimensional scaling (NMDS) of 73 metabolomes revealed spatially defined metabolite exudation by distinct root parts (rhizosphere vs endosphere) rather than AMD sites, with significant variability occurring within the rhizosphere correlating to pH, TDS, Fe, Cr, Cu and Zn content changes; 3) canonical correspondence analysis (CCA) confirmed specific rhizospheric fungal taxonomic changes are driven by pH, TDS, heavy metals, and stress-related metabolomes produced. This is the first report that gives a snapshot on the complex endophytic and rhizospheric fungal community structure and metabolites perturbations that may be key in the adaptability and metal phytoremediation by P. australis under AMD environment.

Despite root microecology playing critical role in plant growth and fidelity, relatively few studies have focused on the link between the microbial communities and root metabolome in the aquatic macrophytes under heavy metal (HM) pollution. Using high-throughput metagenomic sequencing, targeted metabolomics and community-level physiological profile analyses, we investigated the symbiotic associations between Phragmites australis with rhizospheric bacterial communities under differing acid mine drainage (AMD) pollution. Results indicated that AMD pollution and root localization significantly affected root metabolome profiles. Higher accumulation of adenosine monophosphate, inosine, methionine, carnitine and dimethylglycine were observed in the rhizosphere under AMD than non-AMD habitat. Overall, the bacterial diversity and richness, and functional (metabolic) diversity were lower under high-AMD pollution. While non-AMD site was enriched with members of phylum Firmicutes, Proteobacteria were the most abundant taxa in the rhizosphere and endosphere under AMD-polluted sites. Further, plant growth promoting rhizobacteria (Rhizobium, Delftia, Bradyrhizobium, and Mesorhizobium) and metal-tolerant bacteria (Bacillus, Arthrobacter, Massilia and Methylocystis) were most abundant in AMD-polluted than non-AMD habitat. Finally, pH, TDS (total dissolved solids), Cu, Cr, Fe, and Zn content were the key environmental factors that strongly contributed to the spatial perturbation of rhizospheric metabolites, proteobacterial and acidobacterial taxa. Overall, the study linked the differential endospheric and rhizospheric bacterial community and metabolite profiles in P. australis under AMD environment and provided insights into HM adaptability and phytoremediation potential.

Different stages of drinking water treatment plants (DWTPs) play specific roles in diverse contaminants’ removal present in natural water sources. Although the stages are recorded to promote adequate treatment of water, the occurrence of pathogenic bacteria (PB) and antibiotic-resistant bacteria (ARB) in the treated water and the changes in their diversity and abundance as it passed down to the end users through the drinking water distribution systems (DWDSs), is a great concern, especially to human health. This could imply that the different stages and the distribution system provide a good microenvironment for their growth. Hence, it becomes pertinent to constantly monitor and document the diversity of PB and ARB present at each stage of the treatment and distribution system. This review aimed at documenting the occurrence of PB and ARB at different stages of treatment and distribution systems as well as the implication of their occurrence globally. An exhaustive literature search from Web of Science, Science-Direct database, Google Scholar, Academic Research Databases like the National Center for Biotechnology Information, Scopus, and SpringerLink was done. The obtained information showed that the different treatment stages and distribution systems influence the PB and ARB that proliferate. To minimize the human health risks associated with the occurrence of these PB, the present review, suggests the development of advanced technologies that can promote quick monitoring of PB/ARB at each treatment stage and distribution system as well as reduction of the cost of environomics analysis to promote better microbial analysis.

In this study, high-throughput metagenomic amplicon sequencing and physicochemical analyses were used to evaluate the structural composition and functional diversity of the soil bacterial communities at different illegal waste dump sites. Results showed that while the litter-free soil was dominated by the phylum Proteobacteria, dumpsite soils were enriched with phylum Actinobacteria, followed by Proteobacteria, Firmicutes, Chloroflexi, Acidobacteria, Planctomycetes, Bacteroidetes, and Gemmatimonadetes. Bacterial diversity differed significantly (p > 0.05) between the litter-free and contaminated sites, with each dumpsite having distinct genera that demonstrate the impact of waste type on the bacterial community composition. Genus Nocardioides, a versatile organic and inorganic pollutant-degrading bacteria in the class Actinomycetia, was dominant in the dump site soils, raising the possibility that this genus could serve as a potential biomarker for dump site soil pollution. PICRUSt functional profiling also showed the presence of genes involved in putative degradative pathways in the dump site soils. Furthermore, community-level physiological profile (CLPP) analyses revealed that the dump site soils are habitats to active bacterial communities with significant catabolic and carbon utilization capacity. Overall, this study provides a theoretical insight into the diversity and unique soil bacterial assemblages in illegal dump sites that could encode biotechnologically significant genes for biosynthesis and biodegradation.

Nanotechnology is a vast field applicable in various areas of study, including agriculture. Nanoparticles (NPs) can be used in plant disease control in many ways, including as fungicide delivery systems and to enhance cell-to-cell interactions in plants. Their ease of use can be manipulated not only for disease control in crop production but also for the identification of plant diseases. Information on the use of NPs for plant disease control and disease identification was collated. Mechanisms of action of NPs were outlined and discussed. Through these mechanisms, ZnO-NPs reduced Fusarium wilt symptoms in tomatoes by 28.57% and provided 67.99% protection. Ag-NPs promoted a 49.2% reduction of bacterial leaf blight disease in rice caused by Xanthomonas oryzae pv. oryzae. Various techniques involving NPs have been developed for plant disease identification and have shown promise. To ensure the sustainability of applications of NPs and crop production, several knowledge gaps need to be addressed. These include the timeliness of disease identification, the lack of standardised toxicity assessment protocols for NPs, and the paucity of information on NPs-microbiome-plant tri-interactions under field conditions. Furthermore, integration of NPs biosensing with remote sensing or innovative agricultural tools, and the unclear impact of NPs accumulation on soil enzyme activity and nutrient cycling, needs to be addressed. Further study is required to develop a novel technique for real-time identification of plant disease and to accurately identify and quantify the appropriate NPs for specific plant diseases.