PreprintArticleVersion 2Preserved in Portico This version is not peer-reviewed
Use of Ecologically-and Evolutionary Relevant Transcriptomic Data to Infer Functions of Fungal Pathogen Gene Orthologs Essential for Limiting Fungal Stresses Caused by Interacting Host Plants and Bacteria
Version 1
: Received: 30 December 2020 / Approved: 31 December 2020 / Online: 31 December 2020 (09:10:15 CET)
Version 2
: Received: 24 February 2021 / Approved: 3 March 2021 / Online: 3 March 2021 (10:15:08 CET)
How to cite:
Olsson, S.; Aron, O.; Li, H.; Li, Q.; Oest Hansen, B.; Tang, W.; Wang, Z.; Lu, G.; Zheng, W. Use of Ecologically-and Evolutionary Relevant Transcriptomic Data to Infer Functions of Fungal Pathogen Gene Orthologs Essential for Limiting Fungal Stresses Caused by Interacting Host Plants and Bacteria. Preprints2020, 2020120773. https://doi.org/10.20944/preprints202012.0773.v2
Olsson, S.; Aron, O.; Li, H.; Li, Q.; Oest Hansen, B.; Tang, W.; Wang, Z.; Lu, G.; Zheng, W. Use of Ecologically-and Evolutionary Relevant Transcriptomic Data to Infer Functions of Fungal Pathogen Gene Orthologs Essential for Limiting Fungal Stresses Caused by Interacting Host Plants and Bacteria. Preprints 2020, 2020120773. https://doi.org/10.20944/preprints202012.0773.v2
Olsson, S.; Aron, O.; Li, H.; Li, Q.; Oest Hansen, B.; Tang, W.; Wang, Z.; Lu, G.; Zheng, W. Use of Ecologically-and Evolutionary Relevant Transcriptomic Data to Infer Functions of Fungal Pathogen Gene Orthologs Essential for Limiting Fungal Stresses Caused by Interacting Host Plants and Bacteria. Preprints2020, 2020120773. https://doi.org/10.20944/preprints202012.0773.v2
APA Style
Olsson, S., Aron, O., Li, H., Li, Q., Oest Hansen, B., Tang, W., Wang, Z., Lu, G., & Zheng, W. (2021). Use of Ecologically-and Evolutionary Relevant Transcriptomic Data to Infer Functions of Fungal Pathogen Gene Orthologs Essential for Limiting Fungal Stresses Caused by Interacting Host Plants and Bacteria. Preprints. https://doi.org/10.20944/preprints202012.0773.v2
Chicago/Turabian Style
Olsson, S., Guodong Lu and Wenhui Zheng. 2021 "Use of Ecologically-and Evolutionary Relevant Transcriptomic Data to Infer Functions of Fungal Pathogen Gene Orthologs Essential for Limiting Fungal Stresses Caused by Interacting Host Plants and Bacteria" Preprints. https://doi.org/10.20944/preprints202012.0773.v2
Abstract
Key genes needed for maintenance and growth for the two pathogens, Fusarium graminearum and Magnaporthe oryzae, were identified. These are genes that are induced in response to maintenance requirements (stress) and growth requirements. The processes involved are synthesizing arginine, synthesis of DNA-bases, nitric oxide synthesis needing arginine, autophagy, DNA synthesis, and DNA repair. A simplified regulatory network for these key genes for both organisms was constructed as a hypothesis for the work, and procedures previously developed to use sets of downloaded transcriptomic data were used to test hypotheses concerning what time under the course of infection of plants the key genes are expressed. The analysis shows that the transcription efforts (costs) to maintain the fungal cells (maintenance) are high before infection and during early infection. During the following biotrophic stage, maintenance activities drop, followed by a dramatic increase in the necrotrophic stage transition. Finally, in the necrotrophic stage, maintenance is again lower despite the high growth rate that can also cause stress. All identified genes' expressions behaved almost similar with an increased expression in the biotrophy-necrotrophy transition for both fungi except the DNA repair genes PARP/PARG that was not responding or absent (PARG) in the mainly clonal M. oryzae. This PARG expression pattern might indicate that M. oryzae is more subject to evolution by point mutations than F. graminearum, where sexual reproduction is frequent. The potential consequences of this in the development and the accelerated breakage of host species resistance in a Red Queen dynamics scenario are discussed. The analysis demonstrates the possibility of using large transcriptome datasets and co-regulations between key genes to test hypotheses. This technique's advantages complement molecular techniques that employ knockouts and over-expression of target genes to suggest that genes' roles are discussed.
Keywords
secondary data analysis; PARP/PARG; transcriptomics; biotrophy-necrotrophy transition
Subject
Biology and Life Sciences, Anatomy and Physiology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
3 March 2021
Commenter:
Stefan Olsson
Commenter's Conflict of Interests:
Author
Comment:
Figures have been changed in response to reviewers suggestions. The English grammar has been corrected and we now consequently use British English. The model Figure in the Conclusion has been expanded to also include gene name abbreviations so as to show response profiles of the individual gene types.
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Commenter: Stefan Olsson
Commenter's Conflict of Interests: Author