Transcriptomic responses of a simplified soil microcosm to a plant pathogen and its biocontrol agent reveal a complex reaction to harsh habitat
dc.contributor.author | Perazzolli, Michele | |
dc.contributor.author | Herrero, Noemí | |
dc.contributor.author | Sterck, Lieven | |
dc.contributor.author | Lenzi, Luisa | |
dc.contributor.author | Pellegrini, Alberto | |
dc.contributor.author | Puopolo, Gerardo | |
dc.contributor.author | Van de Peer, Yves | |
dc.contributor.author | Pertot, Ilaria | |
dc.date.accessioned | 2016-11-21T05:09:34Z | |
dc.date.available | 2016-11-21T05:09:34Z | |
dc.date.issued | 2016-10-27 | |
dc.description | Additional file 1: Concentration of the soil microorganism in the simplified soil microcosm. | en_ZA |
dc.description | Additional file 2: Primer sequences of the microcosm genes analysed by real-time RT-PCR. | en_ZA |
dc.description | Additional file 3: RNA-Seq sequencing and mapping results for each replicate. | en_ZA |
dc.description | Additional file 4: Distribution of read pair alignments to the genomes of the soil microorganisms. (A, B) Distribution of read pair alignments to the 13 soil microorganisms calculated with the Samtools software [30] and expressed as a percentage (%) of total alignments to the microcosm genome. (C, D) Distribution of unique read pairs mapping to genes of the 13 soil microorganisms, counted using HTSeq [32] and expressed as a percentage (%) of total unique read pairs mapping to genes in the microcosm genome. (E, F) Percentage (%) of expressed genes (more than one read pair) calculated as compared to the total predicted genes for each soil microorganism. Mean and standard error values of three replicates are reported for each condition: the simplified soil microcosm collected at the beginning of the experiment (SSM0) and 24 h after incubation either without exogenous fungi (SSM), with the biocontrol agent Trichoderma atroviride (SSM+T), with the plant pathogen Armillaria mellea (SSM+A) or with both (SSM+T+A). | en_ZA |
dc.description | Additional file 5: Expression levels of genes of the simplified soil microcosm. | en_ZA |
dc.description | Additional file 6: Pearson’s correlation coefficients among replicates and conditions for RNA-Seq analysis. | en_ZA |
dc.description | Additional file 7: Clustering and functional annotation results of differentially expressed genes. | en_ZA |
dc.description | Additional file 8: Proportion of expressed and differentially expressed genes for each soil microorganism. | en_ZA |
dc.description | Additional file 9: Distribution of differentially expressed genes of each soil microorganism in 18 clusters, based on the expression profiles. | en_ZA |
dc.description | Additional file 10: Metabolic pathways of the simplified soil microcosm, modulated by incubation in the soil matrix. Metabolic pathways deactivated (left panels) and activated (right panels) by 24 h incubation in the soil matrix (A) without reinforced modulation (cluster 1) and (B) with reinforced modulation (cluster 15) in the presence of Armillaria mellea and Trichoderma atroviride combined. Metabolic pathways modulated by the introduction of (C) T. atroviride (cluster 3), (D) A. mellea (cluster 5), or (E) both (cluster 7). KEGG pathways were visualised using the iPath2 tool [48], the pathways of upregulated (green) and downregulated (red) genes were highlighted, and a section of the most relevant pathways is reported for each panel. | en_ZA |
dc.description | Additional file 11: Biological networks of Gene Ontology (GO) terms. GO biological process terms of the simplified soil microcosm, upregulated by incubation in the soil matrix with similar expression profiles in the presence or absence of Armillaria mellea and Trichoderma atroviride (cluster 1). Significantly enriched GO terms (P < 0.001) were identified using the BiNGO tool [42] and visualised with Cytoscape software [43]. The colour scale legend indicates the level of significance for enriched GO terms. White nodes indicate not significantly overrepresented categories. | en_ZA |
dc.description | Additional file 12: Key differentially expressed genes discussed in the manuscript, based on their functional categories and expression profiles. Each sheet contains the genes in each cluster discussed. | en_ZA |
dc.description.abstract | BACKGROUND : Soil microorganisms are key determinants of soil fertility and plant health. Soil phytopathogenic fungi are one of the most important causes of crop losses worldwide. Microbial biocontrol agents have been extensively studied as alternatives for controlling phytopathogenic soil microorganisms, but molecular interactions between them have mainly been characterised in dual cultures, without taking into account the soil microbial community. We used an RNA sequencing approach to elucidate the molecular interplay of a soil microbial community in response to a plant pathogen and its biocontrol agent, in order to examine the molecular patterns activated by the microorganisms. RESULTS : A simplified soil microcosm containing 11 soil microorganisms was incubated with a plant root pathogen (Armillaria mellea) and its biocontrol agent (Trichoderma atroviride) for 24 h under controlled conditions. More than 46 million paired-end reads were obtained for each replicate and 28,309 differentially expressed genes were identified in total. Pathway analysis revealed complex adaptations of soil microorganisms to the harsh conditions of the soil matrix and to reciprocal microbial competition/cooperation relationships. Both the phytopathogen and its biocontrol agent were specifically recognised by the simplified soil microcosm: defence reaction mechanisms and neutral adaptation processes were activated in response to competitive (T. atroviride) or non-competitive (A. mellea) microorganisms, respectively. Moreover, activation of resistance mechanisms dominated in the simplified soil microcosm in the presence of both A. mellea and T. atroviride. Biocontrol processes of T. atroviride were already activated during incubation in the simplified soil microcosm, possibly to occupy niches in a competitive ecosystem, and they were not further enhanced by the introduction of A. mellea. CONCLUSIONS : This work represents an additional step towards understanding molecular interactions between plant pathogens and biocontrol agents within a soil ecosystem. Global transcriptional analysis of the simplified soil microcosm revealed complex metabolic adaptation in the soil environment and specific responses to antagonistic or neutral intruders. | en_ZA |
dc.description.department | Genetics | en_ZA |
dc.description.librarian | am2016 | en_ZA |
dc.description.sponsorship | The European Union’s Seventh Framework Programme under grant agreement: 324416 (project INNOVA, subprogramme: FP7-PEOPLE-2012-IAPP). | en_ZA |
dc.description.uri | http://www.biomedcentral.com/bmcgenomics | en_ZA |
dc.identifier.citation | Perazzolli, M, Herrero, N, Sterck, L, Lenzi, L, Pellegrini, A, Puopolo, G, Van de Peer, Y & Pertot, I 2016, 'Transcriptomic responses of a simplified soil microcosm to a plant pathogen and its biocontrol agent reveal a complex reaction to harsh habitat', BMC Genomics, vol. 17, art. #838, pp. 1-18. | en_ZA |
dc.identifier.issn | 1471-2164 | |
dc.identifier.other | 10.1186/s12864-016-3174-4 | |
dc.identifier.uri | http://hdl.handle.net/2263/58199 | |
dc.language.iso | en | en_ZA |
dc.publisher | BioMed Central | en_ZA |
dc.rights | © The Author(s). 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License. | en_ZA |
dc.subject | Soil microbial community | en_ZA |
dc.subject | Soil transcriptome | en_ZA |
dc.subject | Biological control | en_ZA |
dc.subject | Plant pathogen | en_ZA |
dc.subject | Microbial interaction | en_ZA |
dc.subject | RNA-Seq | en_ZA |
dc.subject | Transcriptomics | en_ZA |
dc.subject | Gene expression | en_ZA |
dc.title | Transcriptomic responses of a simplified soil microcosm to a plant pathogen and its biocontrol agent reveal a complex reaction to harsh habitat | en_ZA |
dc.type | Article | en_ZA |
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