Use of Dual RNA-seq for Systems Biology Analysis of Zea mays and Aspergillus flavus Interaction.

Autor:	Musungu B; Department of Plant Biology, Southern Illinois University, Carbondale, IL, United States., Bhatnagar D; Southern Regional Research Center, USDA-ARS, New Orleans, LA, United States., Quiniou S; Warm Water Aquaculture Research Unit, USDA-ARS, Stoneville, MS, United States., Brown RL; Southern Regional Research Center, USDA-ARS, New Orleans, LA, United States., Payne GA; Department of Plant Pathology, North Carolina State University, Raleigh, NC, United States., O'Brian G; Department of Plant Pathology, North Carolina State University, Raleigh, NC, United States., Fakhoury AM; Department of Plant Soil and Agriculture Systems, Southern Illinois University, Carbondale, IL, United States., Geisler M; Department of Plant Biology, Southern Illinois University, Carbondale, IL, United States.
Jazyk:	angličtina
Zdroj:	Frontiers in microbiology [Front Microbiol] 2020 Jun 03; Vol. 11, pp. 853. Date of Electronic Publication: 2020 Jun 03 (Print Publication: 2020).
DOI:	10.3389/fmicb.2020.00853
Abstrakt:	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. (Copyright © 2020 Musungu, Bhatnagar, Quiniou, Brown, Payne, O’Brian, Fakhoury and Geisler.)
Databáze:	MEDLINE
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