Genomic Approaches in Plant Pathology
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Plant Science".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 2494
Special Issue Editor
Interests: fungal genomics; plant–microbe interactions; plant pathogens; breeding for disease resistance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Plants are plagued by a wide range of pathogens. Nowadays, the ongoing advent in genomic technologies has allowed us to widely decipher the molecular mechanisms of plant–microbe interactions underpinning pathogenesis and host specificity, and has helped us gain insights into plants’ transcriptional immune responses and pathogen genetics. Furthermore, these genomic-based resources coupled with next-generation sequencing (NGS) technologies reveal new insights into the genomic organization of numerous pathogens. Overall, these genomic approaches are effective and can be routinely adopted for crop protection and disease management applications in phytopathology.
The scope of this Special Issue concerns the contribution of various genomic or transcriptomic approaches in plant pathology towards a deeper understanding of various plant–microbe interactions. In this context, we undoubtedly aim to exchange knowledge on the employment and implementation of pathogen genomic techniques, such as pathogen genome-wide association studies, population genomics and genetics, metagenomics for unraveling the structural diversities of microbe communities, and plant transcriptomic approaches to challenging pathogens.
In this respect, we welcome the submission of any type of research article covering the applications of specific genomic approaches towards enhancing our knowledge of plant–microbe interactions and the control of diseases.
Dr. Antonios G. Zambounis
Guest Editor
Manuscript Submission Information
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Keywords
- pathogen genomics
- plant–microbe interactions
- diseases
- transcriptomics
- next-generation sequencing
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