Understanding the Mechanism of Host-Pathogen Interaction in Rice Through Genomics Approaches

Autor: Yogita N. Sarki, Riwandahun Marwein, Sanjay Singh, Channakeshavaiah Chikkaputtaiah, Dhanawantari L. Singha, Hariprasanna Dekaboruah
Rok vydání: 2020
Předmět:
Zdroj: Rice Research for Quality Improvement: Genomics and Genetic Engineering ISBN: 9789811553363
DOI: 10.1007/978-981-15-5337-0_1
Popis: Rice is one of the major food crops of the world, and the productivity of rice is greatly affected by biotic stress factors or pathogens such as fungi, bacteria, viruses and insect pests. Understanding the mechanism of host-pathogen interaction in rice is essential for designing various strategies for crop improvement and to sustain the crop productivity under rapidly changing global climate. The development of the novel state-of-the art tools and techniques in the post-genomics era has greatly enhanced our understanding of molecular and genetic mechanism of host-pathogen interaction in rice. Genomics datasets provide quick and better insight of infection biology, virulence, survival, colonization, and evolution. In this book chapter, we discuss the standard genomics approaches used for understanding the host-pathogen interaction in rice covering various genome-wide association studies including GBS, QTLs, association mapping of R genes, GW meta-analysis and SNP chip techniques. We also describe the role of epigenomics in gene expression reprogramming during biotic stress. A brief idea has been adumbrated regarding the latest NGS tools such as in vivo iPOOL-sequencing for identification and characterization of virulence factors and host-pathogen sequences. Also, a latest next-generation genomics approach has evidenced the emerging role of post-transcriptional regulator in host-pathogen biology such as miRNA and siRNA. In a nutshell, this chapter emphasizes on the most recent advancements in the field of genomics to have deeper understanding on host-pathogen interaction mechanism. This would be implied in designing futuristic strategies for sustainable crop productivity of rice.
Databáze: OpenAIRE