Use of Dual RNA-seq for Systems Biology Analysis of Zea mays and Aspergillus flavus plant microbe interaction
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ABSTRACT:
PROVIDER: PRJNA395908 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5871060.fastq.gz | Fastqsanger.gz | |||
| SRR5871070.fastq.gz | Fastqsanger.gz | |||
| SRR5871080.fastq.gz | Fastqsanger.gz | |||
| SRR5871090.fastq.gz | Fastqsanger.gz | |||
| SRR5871100.fastq.gz | Fastqsanger.gz |
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Project description:The interaction between Aspergillus flavus and Zea mays is complex, and the identification of plant genes and pathways conferring resistance to the fungus has been challenging. Therefore authors undertook a systems biology approach involving dual RNA-seq to determine simultaneous response from the host and pathogen. What was dramatically highlighted in the analysis was upon infection there is uniformity in the development of the host and pathogen. This led to the development of host-pathogen index which was able to categorize the samples for down-stream system biology analysis. Additionally we were able to determine key genes in the pathways such as jasmonate, ethylene and ROS which were up-regulated in the studyThe stage of infection index used for the transcriptomic analysis revealed that A. flavus does not produce many transcripts initially during pathogenesis. It was found that when A. flavus was producing an abundance of transcripts, pathways involved the endosomal transport, aflatoxin production, sugar production and many others were up-regulated. In tandem, Z. mays had multiple resistance pathways, such as the phenylpropaniod, jasmonic acid and ethylene pathways that were up-regulated. The analysis of the gene regulatory networks revealed that multiple WRKY genes were targeting the activation of the resistance pathways. The analysis also revealed, for the first time, the activation of Z. mays resistance genes targeting A. flavus genes. Our results show that the plant-microbe interaction has multiple layers and that A. flavus transcriptionally reacts to the hostile environment of Z. mays. The interaction between Aspergillus flavus and Zea mays is complex, and the identification of plant genes and pathways conferring resistance to the fungus has been challenging. Therefore authors undertook a systems biology approach involving dual RNA-seq to determine simultaneous response from the host and pathogen. What was dramatically highlighted in the analysis was upon infection there is uniformity in the development of the host and pathogen. This led to the development of host-pathogen index which was able to categorize the samples for down-stream system biology analysis. Additionally we were able to determine key genes in the pathways such as jasmonate, ethylene and ROS which were up-regulated in the studyThe stage of infection index used for the transcriptomic analysis revealed that A. flavus does not produce many transcripts initially during pathogenesis. It was found that when A. flavus was producing an abundance of transcripts, pathways involved the endosomal transport, aflatoxin production, sugar production and many others were up-regulated. In tandem, Z. mays had multiple resistance pathways, such as the phenylpropaniod, jasmonic acid and ethylene pathways that were up-regulated. The analysis of the gene regulatory networks revealed that multiple WRKY genes were targeting the activation of the resistance pathways. The analysis also revealed, for the first time, the activation of Z. mays resistance genes targeting A. flavus genes. Our results show that the plant-microbe interaction has multiple layers and that A. flavus transcriptionally reacts to the hostile environment of Z. mays. The interaction between Aspergillus flavus and Zea mays is complex, and the identification of plant genes and pathways conferring resistance to the fungus has been challenging. Therefore authors undertook a systems biology approach involving dual RNA-seq to determine simultaneous response from the host and pathogen. What was dramatically highlighted in the analysis was upon infection there is uniformity in the development of the host and pathogen. This led to the development of host-pathogen index which was able to categorize the samples for down-stream system biology analysis. Additionally we were able to determine key genes in the pathways such as jasmonate, ethylene and ROS which were up-regulated in the studyThe stage of infection index used for the transcriptomic analysis revealed that A. flavus does not produce many transcripts initially during pathogenesis. It was found that when A. flavus was producing an abundance of transcripts, pathways involved the endosomal transport, aflatoxin production, sugar production and many others were up-regulated. In tandem, Z. mays had multiple resistance pathways, such as the phenylpropaniod, jasmonic acid and ethylene pathways that were up-regulated. The analysis of the gene regulatory networks revealed that multiple WRKY genes were targeting the activation of the resistance pathways. The analysis also revealed, for the first time, the activation of Z. mays resistance genes targeting A. flavus genes. Our results show that the plant-microbe interaction has multiple layers and that A. flavus transcriptionally reacts to the hostile environment of Z. mays.
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Project description:The interaction between Aspergillus flavus and Zea mays is complex, and the identification of plant genes and pathways conferring resistance to the fungus has been challenging. Therefore, the authors undertook a systems biology approach involving dual RNA-seq to determine the simultaneous response from the host and the pathogen. What was dramatically highlighted in the analysis is the uniformity in the development patterns of gene expression of the host and the pathogen during infection. This led to the development of a "stage of infection index" that was subsequently used to categorize the samples before down-stream system biology analysis. Additionally, we were able to ascertain that key maize genes in pathways such as the jasmonate, ethylene and ROS pathways, were up-regulated in the study. The stage of infection index used for the transcriptomic analysis revealed that A. flavus produces a relatively limited number of transcripts during the early stages (0 to 12 h) of infection. At later stages, in A. flavus, transcripts and pathways involved in endosomal transport, aflatoxin production, and carbohydrate metabolism were up-regulated. Multiple WRKY genes targeting the activation of the resistance pathways (i.e., jasmonate, phenylpropanoid, and ethylene) were detected using causal inference analysis. This analysis also revealed, for the first time, the activation of Z. mays resistance genes influencing the expression of specific A. flavus genes. Our results show that A. flavus seems to be reacting to a hostile environment resulting from the activation of resistance pathways in Z. mays. This study revealed the dynamic nature of the interaction between the two organisms.
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Project description:Systems biology of prostate cancer
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Project description:Aspergillus flavus is a common saprophyte and opportunistic pathogen producing aflatoxin (AF) and many other secondary metabolites. 5-Azacytidine (5-AC), a derivative of nucleoside cytidine, is widely used for studies in epigenetics and cancer biology as an inactivator of DNA methyltransferase and is also used for studying secondary metabolism in fungi. Our previous studies showed that 5-AC affects development and inhibits AF production in A. flavus, and that A. flavus lacks DNA methylation. How this common DNA methyltransferase inhibitor affects development and AF production is not clear. In this study, we applied an RNA-Seq approach to elucidate the mechanism of 5-AC’s effect on A. flavus. In our current study, we identified 240 significantly differently expressed (Q-value<0.05) genes after 5-AC treatment, including two backbone genes in secondary metabolite clusters #27 and #35, which are involved in development or survival of sclerotia. With 5-AC treatment, about three quarters of the genes in the AF biosynthetic gene cluster in A. flavus were down-regulated to a certain degree. Strikingly, at least two genes aflI and aflLa, were completely inhibited. Interestingly, several genes involved in fungal development were down-regulated, especially veA, which is a gene that encodes protein bridges VelB and LaeA. This result supports the hypothesis that 5-AC affects development and AF production through weakening or even interrupting the connection between VelB and LaeA and then causing dysregulation of the expression pattern of genes involved in development and secondary metabolism. Our results improved the A. flavus genome annotation, provided a comprehensive view of the transcriptome of A. flavus responding to 5-AC and confirmed that fungal development and secondary metabolism are co-regulated. In additon, the RNA-Seq data of another sample treated with gallic acid was used to improve A. flavus genome annotation.
2013-06-15 | GSE40202 | GEO
Project description:Aspergillus flavus is a common saprophyte and opportunistic pathogen producing aflatoxin (AF) and many other secondary metabolites. 5-Azacytidine (5-AC), a derivative of nucleoside cytidine, is widely used for studies in epigenetics and cancer biology as an inactivator of DNA methyltransferase and is also used for studying secondary metabolism in fungi. Our previous studies showed that 5-AC affects development and inhibits AF production in A. flavus, and that A. flavus lacks DNA methylation. How this common DNA methyltransferase inhibitor affects development and AF production is not clear. In this study, we applied an RNA-Seq approach to elucidate the mechanism of 5-ACM-bM-^@M-^Ys effect on A. flavus. In our current study, we identified 240 significantly differently expressed (Q-value<0.05) genes after 5-AC treatment, including two backbone genes in secondary metabolite clusters #27 and #35, which are involved in development or survival of sclerotia. With 5-AC treatment, about three quarters of the genes in the AF biosynthetic gene cluster in A. flavus were down-regulated to a certain degree. Strikingly, at least two genes aflI and aflLa, were completely inhibited. Interestingly, several genes involved in fungal development were down-regulated, especially veA, which is a gene that encodes protein bridges VelB and LaeA. This result supports the hypothesis that 5-AC affects development and AF production through weakening or even interrupting the connection between VelB and LaeA and then causing dysregulation of the expression pattern of genes involved in development and secondary metabolism. Our results improved the A. flavus genome annotation, provided a comprehensive view of the transcriptome of A. flavus responding to 5-AC and confirmed that fungal development and secondary metabolism are co-regulated. In additon, the RNA-Seq data of another sample treated with gallic acid was used to improve A. flavus genome annotation. mRNA of Aspergillus flavus cultured in three different culture media PDB, PDB+5-AC(5-Azacytidine),and PDB+GA(gallic acid) was subjected to sequence independently.
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Project description:Human corneal epithelial cells internalize Aspergillus flavus conidia. But the biochemical response of corneal epithelial cells in response to A.flavus is not clear. In this study, NanoString analysis was used to study the immune genes expression in primary corneal epithelial cells and cell line infected with A. flavus conidia. The study revealed the differential expression of immune genes associated with TNF, Th17, NF-kB signaling and B cell receptor signaling in corneal epithelial cells. There is also difference in the response between cell line and primary cells to A. flavus implies the use of both cells to understand the host-pathogen interaction.
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Project description:A gene co-expression network was generated using a dual RNA-seq study with the fungal pathogen A. flavus and its plant host Z. mays during the initial 3 days of infection. The analysis deciphered novel pathways and mapped genes of interest in both organisms during the infection. This network revealed a high degree of connectivity in many of the previously recognized pathways in Z. mays such as jasmonic acid, ethylene, and reactive oxygen species (ROS). For the pathogen A. flavus, a link between aflatoxin production and vesicular transport was identified within the network. There was significant interspecies correlation of expression between Z. mays and A. flavus for a subset of 104 Z. mays, and 1942 A. flavus genes. This resulted in an interspecies subnetwork enriched in multiple Z. mays genes involved in the production of reactive oxygen species. In addition to the ROS from Z. mays, there was enrichment in the vesicular transport pathways and the aflatoxin pathway for A. flavus. Included in these genes, a key aflatoxin cluster regulator, AflS, was found to be co-regulated with multiple Z. mays ROS producing genes within the network, suggesting AflS may be monitoring host ROS levels. The entire gene expression network for both host and pathogen, and the subset of interspecies correlations, is presented as a tool for hypothesis generation and discovery for events in the early stages of fungal infection of Z. mays by A. flavus.
2017-05-09 | GSE85860 | GEO
Project description:Aflatoxin contamination caused by the opportunistic pathogen A. flavus is a major concern in maize production prior to harvest and during storage. Previous studies indicate that both constitutive and induced resistance are involved in maize kernel defense against A. flavus infection, little is known about molecular mechanisms of mature kernels in response to fungal infection. The purpose of this study is to determine gene expression differences in maize kernels between resistant and susceptible lines in response to A. flavus challenge. To avoid the environmental effects in the field inoculation, a laboratory based inoculation technique Kernel Screening Assay (KSA) was used to challenge kernels with A. flavus. After 72 hours incubation of inoculated and noninculated mature kernels, gene expression profiles of two Near Isogenic Lines (NIL) of Eyl25 (A. flavus resistant) and Eyl31 (A. flavus susceptible) were compared using oligonucleotide array.
2010-10-01 | GSE19883 | GEO