Impact of the fungal pathogen Fusarium oxysporum on the taxonomic and functional diversity of the common bean root microbiome

metaTP: a meta-transcriptome data analysis pipeline with integrated automated workflows

BACKGROUND

The accessibility of sequencing technologies has enabled meta-transcriptomic studies to provide a deeper understanding of microbial ecology at the transcriptional level. Analyzing omics data involves multiple steps that require the use of various bioinformatics tools. With the increasing availability of public microbiome datasets, conducting meta-analyses can reveal new insights into microbiome activity. However, the reproducibility of data is often compromised due to variations in processing methods for sample omics data. Therefore, it is essential to develop efficient analytical workflows that ensure repeatability, reproducibility, and the traceability of results in microbiome research.

RESULTS

We developed metaTP, a pipeline that integrates bioinformatics tools for analyzing meta-transcriptomic data comprehensively. The pipeline includes quality control, non-coding RNA removal, transcript expression quantification, differential gene expression analysis, functional annotation, and co-expression network analysis. To quantify mRNA expression, we rely on reference indexes built using protein-coding sequences, which help overcome the limitations of database analysis. Additionally, metaTP provides a function for calculating the topological properties of gene co-expression networks, offering an intuitive explanation for correlated gene sets in high-dimensional datasets. The use of metaTP is anticipated to support researchers in addressing microbiota-related biological inquiries and improving the accessibility and interpretation of microbiota RNA-Seq data.

CONCLUSIONS

We have created a conda package to integrate the tools into our pipeline, making it a flexible and versatile tool for handling meta-transcriptomic sequencing data. The metaTP pipeline is freely available at: https://github.com/nanbei45/metaTP .

Optimization of Mapping Tools and Investigation of Ribosomal RNA Influence for Data-Driven Gene Expression Analysis in Complex Microbiomes

For gene expression analysis in complex microbiomes, utilizing both metagenomic and metatranscriptomic reads from the same sample enables advanced functional analysis. Due to their diversity, metagenomic contigs are often used as reference sequences instead of complete genomes. However, studies optimizing mapping strategies for both read types remain limited. In addition, although transcripts per million (TPM) is commonly used for normalization, few studies have evaluated the influence of ribosomal RNA (rRNA) in metatranscriptomic reads. This study compared Burrows-Wheeler Aligner-Maximal Exact Match (BWA-MEM) and Bowtie2 as mapping tools for metagenomic contigs. Even after optimizing Bowtie2 parameters, BWA-MEM showed higher efficiency in mapping both metagenomic and metatranscriptomic reads. Further analysis revealed that rRNA sequences contaminate predicted protein-coding regions in metagenomic contigs. When comparing TPM values across samples, contamination by rRNA led to an overestimation of TPM changes. This effect was more pronounced when the difference in rRNA content between samples was larger. These findings suggest that metatranscriptomic reads mapped to rRNA should be excluded before TPM calculations. This study highlights key factors influencing read mapping and quantification in gene expression analysis of complex microbiomes. The findings provide insights for improving analytical accuracy and advancing functional studies using both metagenomic and metatranscriptomic data.

Microbial diversity and interactions: Synergistic effects and potential applications of Pseudomonas and Bacillus consortia

Microbial diversity and interactions in the rhizosphere play a crucial role in plant health and ecosystem functioning. Among the myriads of rhizosphere microbes, Pseudomonas and Bacillus are prominent players known for their multifaceted functionalities and beneficial effects on plant growth. The molecular mechanism of interspecies interactions between natural isolates of Bacillus and Pseudomonas in medium conditions is well understood, but the interaction between the two in vivo remains unclear. This paper focuses on the possible synergies between Pseudomonas and Bacillus associated in practical applications (such as recruiting beneficial microbes, cross-feeding and niche complementarity), and looks forward to the application prospects of the consortium in agriculture, human health and bioremediation. Through in-depth understanding of the interactions between Pseudomonas and Bacillus as well as their application prospects in various fields, this study is expected to provide a new theoretical basis and practical guidance for promoting the research and application of rhizosphere microbes.

The coupling of straw, manure and chemical fertilizer improved soil salinity management and microbial communities for saline farmland in Hetao Irrigation District, China

Organic amendments are fundamental strategies for the sustainable reclamation of saline-alkaline soils. However, the mechanisms underlying the effects of different fertilization regimes, applied individually or in combination, on biotic and abiotic factors remain inadequately understood. This study conducted an 8-year (2016-2023) field experiment in the Hetao Irrigation District of China to evaluate the effects of five fertilization regimes on soil salinity-alkalinity, nutrient dynamics, microbial communities, and sunflower yield. Five fertilization treatments, namely a non-fertilization control (CK), chemical fertilization alone (CF), chemical fertilization with straw return (CFS), chemical fertilization with manure (CFM), and chemical fertilization with both straw return and manure (CFSM) were conducted. The results showed that the CFSM treatment outperformed other regimes by significantly reducing soil pH (0.27), total salt content (26.1%), and alkalinity (14.5%) while increasing soil organic carbon (6.2%), total nitrogen (17.4%), available nitrogen (80.3%), phosphorus (136.0%), and potassium (31.6%). The CFSM treatment also optimized the microbial community, enriching carbon-loving microbial populations (e.g., MND1, Lysobacter, and Gemmatimonas) and reducing soil-borne fungal pathogen (e.g., Fusarium, Plectosphaerella, Metarhizium, and Alternaria). After 8 years, sunflower yield under CFSM increased by 49.4% compared to CK. Pathway analysis revealed that the CF strategy showed limited efficacy, as soil salinity and alkalinity suppressed NPK levels, negatively impacting fungal communities and crop yield. The CFS and CFM strategies mitigated the negative effects of salinity and alkalinity to varying degrees, with CFM exhibiting a more pronounced positive impact on fungal communities through SOC-mediated regulation of NPK. The CFSM strategy demonstrated the most significant multi-factor synergistic effects, mitigating the inhibitory effects of salinity and alkalinity while enhancing the regulation of NPK by SOC, resulting in improved fungal community structure and nutrient availability, ultimately maximizing sunflower yield. This study highlights the importance of integrating straw, manure, and chemical fertilizers for sustainable saline soil management and productivity.

Unlocking the potential of ecofriendly guardians for biological control of plant diseases, crop protection and production in sustainable agriculture

Several beneficial microbial strains inhibit the growth of different phytopathogens and commercialized worldwide as biocontrol agents (BCAs) for plant disease management. These BCAs employ different strategies for growth inhibition of pathogens, which includes production of antibiotics, siderophores, lytic enzymes, bacteriocins, hydrogen cyanide, volatile organic compounds, biosurfactants and induction of systemic resistance. The efficacy of antagonistic strains could be further improved through genetic engineering for better disease suppression in sustainable farming practices. Some antagonistic microbial strains also possess plant-growth-promoting activities and their inoculation improved plant growth in addition to disease suppression. This review discusses the characterization of antagonistic microbes and their antimicrobial metabolites, and the application of these BCAs for disease control. The present review also provides a comprehensive summary of the genetic organization and regulation of the biosynthesis of different antimicrobial metabolites in antagonistic strains. Use of molecular engineering to improve production of metabolites in BCAs and their efficacy in disease control is also discussed. The application of these biopesticides will reduce use of conventional pesticides in disease control and help in achieving sustainable and eco-friendly agricultural systems.

The rhizosphere of Phaseolus vulgaris L. cultivars hosts a similar bacterial community in local agricultural soils

This study aimed to investigate the impact of various common beans (Phaseolus vulgaris L.) cultivars on the bacterial communities in the rhizosphere under local agricultural conditions. Even though the differences in cultivation history and physicochemical properties of nearby agriculture plots, the bacterial community in the bulk soil was quite similar and more diverse than that of the rhizosphere. The bacterial community of the rhizosphere was closely similar between Black and Bayo common bean cultivars but differs from Pinto Saltillo common beans collected in a different season. A shared bacterial group within the rhizosphere community across cultivars and specific taxa responding uniquely to each cultivar suggests a balance between responses to soil and plant cultivars. Nevertheless, rhizosphere composition was substantially influenced by the pre-existing soil bacterial community, whose diversity remained consistently similar under the studied field conditions. These findings provide a more comprehensive characterization of the rhizosphere across a limited range of domesticated common beans and agronomic soils that can be expanded to more common bean cultivars and soils to guide appropriate field interventions.

Intercropping improves the yield by increasing nutrient metabolism capacity and crucial microbial abundance in root of Camellia oleifera in purple soil

Intercropping system influences the endophytic microbial abundance, hormone balance, nutrient metabolism and yield, but the molecular mechanism of yield advantage in Camellia oleifera intercropping with peanut is not clear. In this study, the C. oleifera monoculture (CK) and C. oleifera-peanut intercropping (CP) treatments in purple soil were conducted, and the physicochemical properties, gene expressions, signal pathways and crucial microbial abundances were investigated to reveal the molecular mechanism of the yield advantage of intercropped C. oleifera. The results showed that the intercropping system increased in contents of pigment, carbohydrate, available nitrogen and phosphorus in leaf and root, as well as the abundances of Burkholderia, Ralstonia, Delftia, Pseudoalteromonas and Caulobacter, enhanced the relative expression levels of CoSPS, CoGBE, CoGlgP, CoGBSS/GlgA genes to promote sugar metabolism, decreased the relative expression levels of CoASA, CoTSB, CoPAI, CoTDC and CoCYP71A13 genes for inhibiting IAA biosynthesis and signal transduction, as well as microbial diversity, Fusarium, Albifimbria and Coniosporium abundances in root, ultimately improved the fruit yield of C. oleifera. These findings indicate that intercropping system improves the fruit yield by enhancing the nutrient metabolism capability and crucial microbial abundances in root of C. oleifera in purple soil.

Importance, structure, cultivability, and resilience of the bacterial microbiota during infection of laboratory-grown Haematococcus spp. by the blastocladialean pathogen Paraphysoderma sedebokerense: evidence for a domesticated microbiota and its potential for biocontrol

Industrial production of the unicellular green alga Haematococcus lacustris is compromised by outbreaks of the fungal pathogen Paraphysoderma sedebokerense (Blastocladiomycota). Here, using axenic algal and fungal cultures and antibiotic treatments, we show that the bacterial microbiota of H. lacustris is necessary for the infection by P. sedebokerense and that its modulation affects the outcome of the interaction. We combined metagenomics and laboratory cultivation to investigate the diversity of the bacterial microbiota associated to three Haematococcus species and monitor its change upon P. sedebokerense infection. We unveil three types of distinct, reduced bacterial communities, which likely correspond to keystone taxa in the natural Haematococcus spp. microbiota. Remarkably, the taxonomic composition and functionality of these communities remained stable during infection. The major bacterial taxa identified in this study have been cultivated by us or others, paving the way to developing synthetic communities to experimentally explore interactions within this tripartite system. We discuss our results in the light of emerging evidence concerning the structuring and domestication of plant and animal microbiota, thus providing novel experimental tools and a new conceptual framework necessary to enable the engineering of Haematococcus spp. microbiota toward the biocontrol of P. sedebokerense.

Alternaria alternata JTF001 Metabolites Recruit Beneficial Microorganisms to Reduce the Parasitism of Orobanche aegyptiaca in Tomato

Orobanche aegyptiaca is a holoparasitic weed that extracts water, nutrients, and growth regulators from host plants, leading to significant yield and quality losses. Biocontrol microbial metabolites have been shown to enhance plant resistance against parasitic plants, yet the underlying microbial mechanisms remain poorly understood. In this study, we investigated the role of Alternaria alternata JTF001 (J1) microbial metabolites in recruiting beneficial microbes to the tomato rhizosphere and promoting the establishment of a disease-suppressive microbiome. Pot experiments revealed that J1 metabolite application significantly reduced O. aegyptiaca parasitism. High-throughput sequencing of full-length 16S rRNA genes and ITS regions, along with in vitro culture assays, demonstrated an increase in the abundance of plant-beneficial bacteria, particularly Pseudomonas spp. The three candidate beneficial strains (zOTU_388, zOTU_533, and zOTU_2335) showed an increase of 5.7-fold, 5.4-fold, and 4.7-fold, respectively. These results indicate that J1 metabolites induce the recruitment of a disease-suppressive microbiome in tomato seedlings, effectively inhibiting O. aegyptiaca parasitism. Our findings suggest that microbial metabolites represent a promising strategy for managing parasitic plant infestations through microbial community modulation, offering significant implications for sustainable agricultural practices.

Metabolism of hemicelluloses by root-associated Bacteroidota species

Bacteroidota species are enriched in the plant microbiome and provide several beneficial functions for their host, including disease suppression. Determining the mechanisms that enable bacteroidota to colonise plant roots may therefore provide opportunities for enhancing crop production through microbiome engineering. By focusing on nutrient acquisition mechanisms, we discovered Bacteroidota species lack high affinity ATP-binding cassette transporters common in other plant-associated bacteria for capturing simple carbon exudates. Instead, bacteroidota possess TonB-dependent transporters predicted to import glycans produced by plant polysaccharide breakdown. Metatranscriptomics (oat rhizosphere) identified several TonB-dependent transporters genes that were highly expressed in Flavobacterium (phylum Bacteroidota). Using Flavobacterium johnsoniae as the model, we experimentally validated the function of one highly expressed TonB-dependent transporter, identifying a conserved Xyloglucan utilisation loci conferring the ability to import and degrade xyloglucan, the major hemicellulose secreted from plant roots. Xyloglucan utilisation loci harbour an endoxyloglucanase related to family 5 subfamily 4 subclade 2D glycoside hydrolases carrying a mutation that we demonstrate is required for full activity towards xyloglucan. Based on analysing 700 soil metagenomes, subclade 2D glycoside hydrolases have radiated in soil and are prevalent among plant-associated bacteroidota and certain taxa affiliated with Gammaproteobacteria. In bacteroidota, particularly Flavobacterium species, xyloglucan utilisation loci organisation was highly conserved, which may increase their competitive ability to utilise xyloglucan. Given bacteroidota lack high-affinity nutrient transporters for simple carbon, instead possessing xyloglucan utilisation loci and similar gene clusters, our data suggests hemicellulose exudates provide them with an important carbon source in the rhizosphere.

Beyond correlation: Understanding the causal link between microbiome and plant health

Understanding the causal link between the microbiome and plant health is crucial for the future of crop production. Established studies have shown a symbiotic relationship between microbes and plants, reshaping our knowledge of plant microbiomes' role in health and disease. Addressing confounding factors in microbiome study is essential, as standardization enables precise identification of microbiome features that influence outcomes. The microbiome significantly impacts plant development, necessitating holistic investigation for maintaining plant health. Mechanistic studies have deepened our understanding of microbiome structure and function related to plant health, though much research still needs to be carried out. This review, therefore, discusses current challenges and proposes advancing studies from correlation to causation and translation. We explore current knowledge on the microbiome and plant health, emphasizing multi-omics approaches and hypothesis-driven research. Future studies should focus on developing translational research for producing probiotics and prebiotics from biomarkers that regulate the microbiome-plant health connection, promoting sustainable crop production through microbiome applications.

Beyond the rootzone: Unveiling soil property and biota gradients around plants

Although the effects of plants on soil properties are well known, the effects of distance from plant roots to root-free soil on soil properties and associated soil organisms are much less studied. Previous research on the effects of distance from a plant explored specific soil organisms and properties, however, comparative studies across a wide range of plant-associated organisms and multiple model systems are lacking. We conducted a controlled greenhouse experiment using soil from two contrasting habitats. Within each soil type, we cultivated two plant species, individually and in combination, studying soil organisms and properties in the root centre, the root periphery, and the root-free zones. We showed that the distance from the cultivated plant (representing decreasing amount of plant roots) had a significant impact on the abiotic properties of the soil (pH and available P and N) and also on the composition of the fungal, bacterial, and nematode communities. The specific patterns, however, did not always match our expectations. For example, there was no significant relationship between the abundance of fungal pathogens and the distance from the cultivated plant compared to a strong decrease in the abundance of arbuscular mycorrhizal fungi. Changes in soil chemistry along the distance from the cultivated plant were probably one of the important drivers that affected bacterial communities. The abundance of nematodes also decreased with distance from the cultivated plant, and the rate of their responses reflected the distribution of their food sources. The patterns of soil changes along the gradient from plant to root-free soil were largely similar in two contrasting soil types and four plant species or their mixtures. This suggests that our results can be generalised to other systems and contribute to a better understanding of the mechanisms of soil legacy formation.

Genotype-associated core bacteria enhance host resistance against kiwifruit bacterial canker

Both the phyllosphere and rhizosphere are inhabited by different kinds of microorganisms that are closely related to plant growth and health. However, it is not clear whether disease-resistant cultivars shape the microbiome to facilitate disease resistance. In this study, significant differences were found in the aboveground and belowground bacterial communities of disease-resistant and disease-susceptible cultivars grown in the same kiwifruit orchard. The phyllosphere of the resistant cultivar 'Wanjin' showed greater enrichment of Pseudomonas spp. and Sphingomonas spp. than the susceptible cultivar 'Donghong'. The rhizosphere microbes of 'Wanjin' were less affected by field location, with significantly greater bacterial abundance than those of 'Donghong' and more bacteria with potential biocontrol properties. Pseudomonas syringae pv. actinidiae (Psa) infection significantly affected the microbiome of the phyllosphere of kiwifruit plants, especially that of 'Donghong'. Resistant and susceptible kiwifruit cultivars exhibit distinct beneficial microbial recruitment strategies under Psa challenge. The phyllosphere of 'Donghong' in Jinzhai was enriched with Sphingomonas spp. and Pantoea spp. under Psa infection, while the rhizosphere of 'Wanjin' was enriched with Sphingomonas spp. and Novosphingobium spp. We further identified five key biomarkers within the microbial community associated with Psa infection. Inoculation experiments showed that Lysobacter sp. R34, Stenotrophomonas sp. R31, Pseudomonas sp. R10 and RS54, which were isolated from belowground compartments of 'Wanjin', could positively affect plant performance under Psa challenge. The combination use of Pseudomonas sp. R10 and Stenotrophomonas sp. R31 significantly improve the management of kiwifruit canker. Our findings provided novel insights into soil-microbe-plant interactions and the role of microbes in plant disease resistance and susceptibility.

The occurrence of banana Fusarium wilt aggravates antibiotic resistance genes dissemination in soil

The spread of antibiotic resistance genes (ARGs) and subsequent soil-borne disease outbreaks are major threats to soil health and sustainable crop production. However, the relationship between occurrences of soil-borne diseases and the transmission of soil ARGs remains unclear. Here, soil ARGs, mobile genetic elements and microbial communities from co-located disease suppressive and conducive banana orchards were deciphered using metagenomics and metatranscriptomics approaches. In total, 23 ARG types, with 399 subtypes, were detected using a metagenomics approach, whereas 23 ARG types, with 452 subtypes, were discovered using a metatranscriptomics method. Furthermore, the metagenomics analysis revealed that the ARG total abundance levels were greater in rhizospheres (0.45 ARGs/16S rRNA on average) compared with bulk (0.32 ARGs/16S rRNA on average) soils. Interestingly, metatranscriptomics revealed that the total ARG abundances were greater in disease-conducive (8.85 ARGs/16S rRNA on average) soils than disease suppressive (1.45 ARGs/16S rRNA on average) soils. Mobile genetic elements showed the same trends as ARGs. Network and binning analyses indicated that Mycobacterium, Streptomyces, and Blastomonas are the main potential hosts of ARGs. Furthermore, Bacillus was significantly and negatively correlated with Fusarium (P < 0.05, r = -0.84) and hosts of ARGs (i.e., Mycobacterium, Streptomyces, and Blastomonas). By comparing metagenomic and metatranscriptomic analyses，this study demonstrated that metatranscriptomics may be more sensitive in indicating ARGs activities in soil. Our findings enable the more accurate assessment of the transmission risk of ARGs. The data provide a new perspective for recognizing soil health, in which soil-borne disease outbreaks appear to be associated with ARG spread, whereas beneficial microbe enrichment may mitigate wilt disease and ARG transmission.

The impact of filamentous plant pathogens on the host microbiota

When a pathogen invades a plant, it encounters a diverse microbiota with some members contributing to the health and growth of the plant host. So far, the relevance of interactions between pathogens and the plant microbiota are poorly understood; however, new lines of evidence suggest that pathogens play an important role in shaping the microbiome of their host during invasion. This review aims to summarize recent findings that document changes in microbial community composition during the invasion of filamentous pathogens in plant tissues. We explore the known mechanisms of interaction between plant pathogens and the host microbiota that underlie these changes, particularly the pathogen-encoded traits that are produced to target specific microbes. Moreover, we discuss the limitations of current strategies and shed light on new perspectives to study the complex interaction networks between filamentous pathogens and the plant microbiome.

Exploring the temporal dynamics of a disease suppressive rhizo-microbiome in eggplants

The rhizosphere microbiome is important for plant health, yet their contributions to disease resistance and assembly dynamics remain unclear. This study employed rhizosphere microbiome transplantation (RMT) to delineate the impact of the rhizosphere microbiome and the immune response of eggplant (Solanum melongena) on resistance to bacterial wilt caused by Ralstonia solanacearum. We first identified disease-suppressive and disease-conducive rhizosphere microbiome in a susceptible tomato recipient. Using a non-destructive rhizobox and 16S rRNA amplicon sequencing, we monitored the dynamics of both microbiome types during the eggplant development. Most differences were observed at the early stage and then diminished over time. The suppressive microbiome maintained a higher proportion of initial community members throughout eggplant development and exhibited stronger deterministic processes in the early stage, underscoring the importance of plant selection in recruiting protective microbes for rhizosphere immunity. Our study sheds light on the development of microbiome-based strategies for plant disease management and resistance breeding.

Molecular Basis of Plant-Pathogen Interactions in the Agricultural Context

Biotic stressors pose significant threats to crop yield, jeopardizing food security and resulting in losses of over USD 220 billion per year by the agriculture industry. Plants activate innate defense mechanisms upon pathogen perception and invasion. The plant immune response comprises numerous concerted steps, including the recognition of invading pathogens, signal transduction, and activation of defensive pathways. However, pathogens have evolved various structures to evade plant immunity. Given these facts, genetic improvements to plants are required for sustainable disease management to ensure global food security. Advanced genetic technologies have offered new opportunities to revolutionize and boost plant disease resistance against devastating pathogens. Furthermore, targeting susceptibility (S) genes, such as OsERF922 and BnWRKY70, through CRISPR methodologies offers novel avenues for disrupting the molecular compatibility of pathogens and for introducing durable resistance against them in plants. Here, we provide a critical overview of advances in understanding disease resistance mechanisms. The review also critically examines management strategies under challenging environmental conditions and R-gene-based plant genome-engineering systems intending to enhance plant responses against emerging pathogens. This work underscores the transformative potential of modern genetic engineering practices in revolutionizing plant health and crop disease management while emphasizing the importance of responsible application to ensure sustainable and resilient agricultural systems.

The interplay between the inoculation of plant growth-promoting rhizobacteria and the rhizosphere microbiome and their impact on plant phenotype

Microbial inoculation stands as a pivotal strategy, fostering symbiotic relationships between beneficial microorganisms and plants, thereby enhancing nutrient uptake, bolstering resilience against environmental stressors, and ultimately promoting healthier and more productive plant growth. However, while the advantageous roles of inoculants are widely acknowledged, the precise and nuanced impacts of inoculation on the intricate interactions of the rhizosphere microbiome remain significantly underexplored. This study explores the impact of bacterial inoculation on soil properties, plant growth, and the rhizosphere microbiome. By employing various bacterial strains and a synthetic community (SynCom) as inoculants in common bean plants, the bacterial and fungal communities in the rhizosphere were assessed through 16 S rRNA and ITS gene sequencing. Concurrently, soil chemical parameters, plant traits, and gene expression were evaluated. The findings revealed that bacterial inoculation generally decreased pH and V%, while increasing H+Al and m% in the rhizosphere. It also decreased gene expression in plants related to detoxification, photosynthesis, and defense mechanisms, while enhancing bacterial diversity in the rhizosphere, potentially benefiting plant health. Specific bacterial strains showed varied impacts on rhizosphere microbiome assembly, predominantly affecting rhizospheric bacteria more than fungi, indirectly influencing soil conditions and plants. Notably, Paenibacillus polymyxa inoculation improved plant nitrogen (by 5.2%) and iron levels (by 28.1%), whereas Bacillus cereus boosted mycorrhization rates (by 70%). Additionally, inoculation led to increased complexity in network interactions within the rhizosphere (∼15%), potentially impacting plant health. Overall, the findings highlight the significant impact of introducing bacteria to the rhizosphere, enhancing nutrient availability, microbial diversity, and fostering beneficial plant-microbe interactions.