Rhizoctonia solani is a major fungal pathogen of rice (Oryza sativa L.) that causes great yield losses in all rice-growing regions of the world. Here we report the draft genome sequence of the rice sheath blight disease pathogen, R. solani AG1 IA, assembled using next-generation Illumina Genome Analyser sequencing technologies. The genome encodes a large and diverse set of secreted proteins, enzymes of primary and secondary metabolism, carbohydrate-active enzymes, and transporters, which probably reflect an exclusive necrotrophic lifestyle. We find few repetitive elements, a closer relationship to Agaricomycotina among Basidiomycetes, and expand protein domains and families. Among the 25 candidate pathogen effectors identified according to their functionality and evolution, we validate 3 that trigger crop defence responses; hence we reveal the exclusive expression patterns of the pathogenic determinants during host infection.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562461 | PMC |
http://dx.doi.org/10.1038/ncomms2427 | DOI Listing |
Dev Cell
December 2024
State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan 430072, China; Hubei Hongshan Laboratory, Wuhan 430072, China. Electronic address:
The exchange of molecular information across kingdoms is crucial for the survival of both plants and their pathogens. Recent research has identified that plants transfer their small RNAs and microRNAs into fungal pathogens to suppress infection. However, whether and how plants send defense proteins into pathogens remains unknown.
View Article and Find Full Text PDFFront Plant Sci
December 2024
Department of Agricultural Botany, Faculty of Agriculture, Tanta University, Tanta, Egypt.
Sheath blight, caused by AG1 IA, is a challenging disease of rice worldwide. In the current study, nine isolates, within the anastomosis group AG-1 IA, were isolated, characterized based on their macroscopic and microscopic features, as well as their ability to produce cell wall degrading enzymes (CWDEs), and further molecularly identified via ITS sequencing. Although all isolates were pathogenic and produced typical sheath blight symptoms the susceptible rice cultivar, Sakha 101, AG1 IA -isolate SHBP9 was the most aggressive isolate.
View Article and Find Full Text PDFSci Rep
December 2024
Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura, 35516, Egypt.
The rice plant is one of the most significant crops in the world, and it suffers from various diseases. The traditional methods for rice disease detection are complex and time-consuming, mainly depending on the expert's experience. The explosive growth in image processing, computer vision, and deep learning techniques provides effective and innovative agriculture solutions for automatically detecting and classifying these diseases.
View Article and Find Full Text PDFNew Phytol
December 2024
Department of Biology, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK.
There is an increasing demand to boost photosynthesis in rice to increase yield potential. Chloroplasts are the site of photosynthesis, and increasing their number and size is a potential route to elevate photosynthetic activity. Notably, bundle sheath cells do not make a significant contribution to overall carbon fixation in rice, and thus, various attempts are being made to increase chloroplast content specifically in this cell type.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!