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The Rice Annotation Project Database (RAP-DB) was created to provide the genome sequence assembly of the International Rice Genome Sequencing Project (IRGSP), manually curated annotation of the sequence, and other genomics information that could be useful for comprehensive understanding of the rice biology. Since the last publication of the RAP-DB, the IRGSP genome has been revised and reassembled. In addition, a large number of rice-expressed sequence tags have been released, and functional genomics resources have been produced worldwide. Thus, we have thoroughly updated our genome annotation by manual curation of all the functional descriptions of rice genes. The latest version of the RAP-DB contains a variety of annotation data as follows: clone positions, structures and functions of 31 439 genes validated by cDNAs, RNA genes detected by massively parallel signature sequencing (MPSS) technology and sequence similarity, flanking sequences of mutant lines, transposable elements, etc. Other annotation data such as Gnomon can be displayed along with those of RAP for comparison. We have also developed a new keyword search system to allow the user to access useful information. The RAP-DB is available at: http://rapdb.dna.affrc.go.jp/ and http://rapdb.lab.nig.ac.jp/.
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http://dx.doi.org/10.1093/nar/gkm978 | DOI Listing |
Sci Data
September 2025
Engineering Research Center of Natural Enemies, Institute of Biological Control, Jilin Agricultural University, Changchun, 130118, China.
Trichogramma japonicum is one of the successfully industrialized Trichogramma species in China and holds significant application value for controlling the rice pests Chilo suppressalis. However, progress in exploring its gene functions to enhance parasitic efficiency has been hindered by the lack of a known genomic landscape. In this study, we assembled a chromosome-level genome of T.
View Article and Find Full Text PDFJ Adv Res
August 2025
Microbiology and intelligent biomanufacturing Key Laboratory of Sichuan Province, College of Life Science, Sichuan University, Chengdu, Sichuan 610041, China. Electronic address:
Introduction: Small non-coding RNAs (sncRNAs) have been proven to play crucial roles in various biological processes such as development, stress responses, virulence, and pathogenicity. However, to the best of our knowledge, none of the currently available databases can store, manage, and analyze the vast amounts of sncRNA sequencing data. A comprehensive web-based platform for the integration and analysis of sncRNAs in fungi and their potential functions is still lacking.
View Article and Find Full Text PDFData Brief
October 2025
Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.
This manuscript presents a comprehensive, expert-annotated dataset comprising 19,000 rice leaf images, including 2,753 original images and 16,247 augmented images, sourced from the Bangladesh Rice Research Institute (BRRI). The dataset includes seven disease classes: Healthy (603 original images), Rice Blast (696 original images), Scald (421 original images), Leaf-folder Injury (247 original images), Insect Infestation (281 original images), Rice Stripes (266 original images), and Tungro Disease (239 original images). These images, captured under varying environmental conditions using smartphone cameras, accurately reflect real-world conditions.
View Article and Find Full Text PDFBMC Res Notes
September 2025
Department of Master in Biotechnology, School of Bioscience, Technology, and Innovations, Atma Jaya Catholic University of Indonesia, Jalan Raya Cisauk-Lapan No. 10, Sampora, Cisauk, Tangerang, Banten, 15345, Indonesia.
Objectives: Bacteriophages are viruses that specifically target and kill bacteria. Bacteriophages are considered safe for humans, making them suitable for use in food applications Therefore, this study was conducted to isolate, characterize, and apply bacteriophages from the environment to control food spoilage bacteria.
Results: Bacteriophages were isolated by using Bacillus cereus (B.
Theor Appl Genet
September 2025
Division of Plant Science and Technology, University of Missouri, Columbia, MO, 65211, USA.
The soybean [Glycine max (L.) Merr.] pangenome has been studied and shown to be an invaluable resource for investigating structural variations (SVs), from which different genomic markers were successfully developed and employed for genome-wide association studies (GWAS).
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