Dedat Prismantoro , Kah-Ooi Chua , Kelly Wan-Ee Teo , Rosamond Chan , Thomas Argyarich Jefferson , Nurul Shamsinah Mohd Suhaimi , Muhamad Shakirin Mispan , Mia Miranti , Febri Doni
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引用次数: 0
Abstract
Trichoderma yunnanense strain TM10 was isolated from rhizosphere soil of rice plants cultivated under system of rice intensification (SRI) practises in West Java, Indonesia. It exhibits significant potential as a plant growth promoter and biocontrol agent in rice plants. Although this strain has shown promise in promoting plant growth and suppressing phytopathogens under in vitro and in planta conditions, there is still a lack of genomic data to elucidate the molecular mechanisms underlying its plant growth-promoting and biocontrol capabilities. This study reports the whole genome sequence of T. yunnanense strain TM10. The genome of the fungus was sequenced using the MGI DNBSEQ-G400 high-throughput sequencing platform. The assembled genome of T. yunnanense strain TM10 was approximately 36 Mbp in length, comprising 385 contigs with a GC content of 48 % and a sequencing coverage of 43.8×. This genomic data provides a foundation for harnessing the plant growth-promoting and biocontrol potential of this strain. The complete genome sequence has been deposited at the National Center for Biotechnology Information (NCBI) under Bioproject accession number PRJNA1181959, BioSample ID SAMN44575400, and genome accession number JBIYZQ000000000. These data are valuable for further research into the biotechnological potential of this strain and for exploring the molecular mechanisms underlying its plant growth-promoting and biocontrol activities.
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.