Project description:We report the first data of RNA sequencing from two different banana cultivars from Musa acuminata cv. Mas Kirana (AA group) genome and Musa balbisiana cv. Klutuk (BB group) genome in response to blood disease infection caused by Ralstonia syzygii subsp. celebesensis (Rsc)

2019-11-18 | GSE138749 | GEO

Transcriptomics Library Data of Klutuk Wulung Banana with Ethylene Treatment

Project description:We report the first RNA sequencing data of 100μl/L ethylene treatment and non-treatment (control) fruit of Musa balbisiana (BB Group, Cv. Klutuk Wulung) at unripe (day 1) and ripe (day 7) stage

2021-01-31 | GSE162077 | GEO

Genotype By sequencing (GBS) dervied SNPs in Musa acuminata x Musa balbisiana F1 population

Project description:Bananas and plantains are highly susceptible to drought and may lead to yield reductions of up to 65%. Musa balbisiana harbors many biotic and abiotic stress-tolerant characteristics and there is urgent need to integrate B-genomic regions into cultivars for various stress resistance, nutrition, and vigor characteristics in the new banana varieties. With the above objective GBS technology was applied to obtain SNPs on a unique population developed which was obtained crossing Musa acuminata and Musa balbisiana. Here, in the current submission we deposit the SNPs identified in the mentioned population (AAxBB).

2023-12-23 | PRJEB57234 | EVA

Heterologous microarrays for the study of drought stress in Musa

Project description:'Systems-wide' approaches such as microarray RNA-profiling are ideally suited to the study of the complex, overlapping responses of plants to biotic and abiotic stresses. However, commercial microarrays are only available for a limited number of plant species and development costs are so substantial as to be prohibitive for most research groups. Here, we evaluate the use of cross-hybridisation to Affymetrix oligonucleotide GeneChip microarrays to profile the response of the banana (Musa sp.) leaf transcriptome to drought stress using a genomic DNA (gDNA)-based probe-selection strategy to improve the efficiency of detection of differentially expressed Musa transcripts. GeneChip analyses were performed to profile the response of the banana (Musa sp.) leaf transcriptome to drought stress using a genomic DNA (gDNA)-based probe-selection strategy to improve the efficiency of detection of differentially expressed Musa transcripts.

2009-07-04 | E-GEOD-16865 | biostudies-arrayexpress

Musa

Project description:Musa Genome sequencing and assembly

| PRJNA432894 | ENA