Abstract
Rice is an important staple food crop and a primary energy source for more than half of the world’s population. One of the deadly fungal diseases of rice produced by Magnaporthe oryzae is known as “blast disease.” It has consistently threatened the world’s food supply. This study aimed to dissect the complex blast resistance mechanism of the rice plant against blast pathogens. To understand the molecular mechanisms of blast resistance, we analyzed transcriptome changes in rice cultivars. Using transcriptome data obtained from an RNA-seq analysis of two samples comprising resistant (BR2655) and susceptible (HR12) genotypes under control and stress conditions was carried out. The total RNA sequencing generated a dataset of four samples, representing more than 40 Gb fastq raw data. A total of 145 million filtered reads were generated after the quality check. High-quality clean reads mapped rice reference genome RGAP 7. These aligned reads were taken for further analysis. A total of 11,867 DEGs across the genotypes under stress were identified. A total of 7577 and 4290 genes showed significant differential expression in BRC vs. BRIN library and HRC vs. HRIN library, respectively. The results reveal that differential gene expression analysis clearly shows the changes in the expression profiling of BR2655 and HR12 cultivars.
Similar content being viewed by others
Data Availability
Data will be made available upon reasonable request.
References
Chanclud E, Kisiala A, Emery NRJ et al (2016) Cytokinin production by the rice blast fungus is a pivotal requirement for full virulence. Plos Pathog 12
Chandrakanth R, Sunil L, Sadashivaiah L, Devaki NS (2020) In silico modelling and characterization of eight blast resistance proteins in resistant and susceptible rice cultivars. J Genet Eng Biotechnol 18:1–15
Chen Z, Zhao W, Zhu X et al (2018) Identification and characterization of rice blast resistance gene Pid4 by a combination of transcriptomic profiling and genome analysis. J Genet Genomics 45:663–672
Garber M, Grabherr MG, Guttman M, Trapnell C (2011) Computational methods for transcriptome annotation and quantification using RNA-seq. Nat Methods 8:469–477
Grand X, Espinoza R, Michel C et al (2012) Identification of positive and negative regulators of disease resistance to rice blast fungus using constitutive gene expression patterns. Plant Biotechnol J 10:840–850. https://doi.org/10.1111/j.1467-7652.2012.00703.x
Hayashi N, Kobayashi N, Cruz C, Fukuta Y (2009) Protocols for the sampling of diseased specimens and evaluation of blast disease in rice. JIRCAS Working Rep 63:17–33
Heath MC (2000) Hypersensitive response-related death. Programmed cell death in higher plants. 77–90
Jaganathan D, Bohra A, Thudi M, Varshney RK (2020) Fine mapping and gene cloning in the post-NGS era: advances and prospects. Theor Appl Genet 133:1791–1810
Kankanala P, Czymmek K, Valent B (2007) Roles for rice membrane dynamics and plasmodesmata during biotrophic invasion by the blast fungus. Plant Cell Online 19:706–724. https://doi.org/10.1105/tpc.106.046300
Kawahara Y, Oono Y, Kanamori H et al (2012) Simultaneous RNA-seq analysis of a mixed transcriptome of rice and blast fungus interaction. Plos One 7
Khush GS (1999) Green revolution: preparing for the 21st century. Genome 42:646–655
Khush GS, Jena KK (2009) Current status and future prospects for research on blast resistance in rice (Oryza sativa L.). In: Advances in genetics, genomics and control of rice blast disease. Springer, pp 1–10
Kumar V, Jain P, Venkadesan S et al (2021) Understanding rice-Magnaporthe oryzae interaction in resistant and susceptible cultivars of rice under panicle blast infection using a time-course transcriptome analysis. Genes 12:301
Li Q, Chen F, Sun L et al (2006) Expression profiling of rice genes in early defense responses to blast and bacterial blight pathogens using cDNA microarray. Physiol Mol Plant Pathol 68:51–60. https://doi.org/10.1016/j.pmpp.2006.06.002
Liang D, Qi Z, Du Y et al (2022) Identification of differentially expressed genes reveal conserved mechanisms in the rice-Magnaporthe oryzae interaction. Front Plant Sci 13:204
Okuyama Y, Kanzaki H, Abe A et al (2011) A multifaceted genomics approach allows the isolation of the rice Pia-blast resistance gene consisting of two adjacent NBS-LRR protein genes. 467–479. https://doi.org/10.1111/j.1365-313X.2011.04502.x
Qu S (2005) The broad-spectrum blast resistance gene Pi9 encodes a nucleotide-binding site-leucine-rich repeat protein and is a member of a multigene family in rice. Genetics 172:1901–1914. https://doi.org/10.1534/genetics.105.044891
Rawal HC, Amitha Mithra SV, Arora K et al (2018) Genome-wide analysis in wild and cultivated Oryza species reveals abundance of NBS genes in progenitors of cultivated rice. Plant Mol Biol Report 36:373–386
Sesma A, Osbourn AE (2004) The rice blast pathogen undergoes developmental processes typical of root-infecting fungi. Nature 431:582–586
Shahriar SA, Imtiaz AA, Hossain MB et al (2020) Rice blast disease. Annu Res Rev Biol 50–64
Sharma TR, Das A, Thakur S et al (2016) Oscillating transcriptome during rice-Magnaporthe interaction. Curr Issues Mol Biol 19:99–120
Sharma TR, Rai AK, Gupta SK et al (2012) Rice blast management through host-plant resistance: retrospect and prospects. Agric Res 1:37–52
Sharma TR, Shanker P, Singh BK et al (2005) Molecular mapping of rice blast resistance gene Pi-k h in the rice variety tetep. 14:127–133
Singh S, Chand S, Singh NK, Sharma TR (2015) Genome-wide distribution, organisation and functional characterization of disease resistance and defence response genes across rice species. Plos One 10
Sunil L, Appaiah P, Martin A, Vasu P (2021) Characterization of in silico modeled synthetic protein enriched with branched-chain amino acids expressed in Pichia pastoris. Int J Biol Macromol 168:518–525
Sunil L, Vasu P (2017) In silico designing of therapeutic protein enriched with branched-chain amino acids for the dietary treatment of chronic liver disease. J Mol Graph Model 76:192–204
Sunil L, Vasu P (2020) Cloning and expression of in silico modeled protein enriched with branched chain amino acids in Pichia pastoris. Int J Biol Macromol 146:739–745
Wang Z, Gerstein M, Snyder M (2009) RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet 10:57–63
Zhang W, Xu J, Li Y, Zou X (2016) Detecting essential proteins based on network topology, gene expression data, and gene ontology information. IEEE/ACM Trans Comput Biol Bioinf 15:109–116
Zhou B, Qu S, Liu G et al (2006) The eight amino-acid differences within three leucine-rich repeats between Pi2 and Piz-t resistance proteins determine the resistance specificity to Magnaporthe grisea. Mol Plant Microbe Interac 19:1216–1228
Funding
The Indian Council of Medical Research funded the investigation via the sanction letter ICMR-SRF (IRIS ID NO. 2014–21680). The senior research fellow conducted this investigation and received a grant to support the design, gathering, analysis, and interpretation of data and produce the original study article.
Author information
Authors and Affiliations
Contributions
CR played a significant role in the conception, design of the work, and collection and interpretation of the data. SL evaluated, interpreted, and revision of the paper attentively. DNS interpretation, revised, and final approval of the article. The manuscript has been read and approved.
Corresponding author
Ethics declarations
Competing Interest
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Chandrakanth, R., Sunil, L. & Devaki, N.S. Transcriptomic Profiling of Resistant and Susceptible Rice Cultivar Blast Resistance Genes During Magnaporthe oryzae Infection. Plant Mol Biol Rep 42, 111–121 (2024). https://doi.org/10.1007/s11105-023-01404-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11105-023-01404-7