Musa sp.
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA117567 | ENA |
REPOSITORIES: ENA
Similar Datasets
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.
2009-07-04 | GSE16865 | GEO
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
Project description:We aim to assess heterosis and regulatory divergence in these Musa genotypes (Musa textilis var Abuab, Musa balbisiana var Pacol, and their backcross hybrid (BC2)) by estimating differential expression between the parents and between the two genotype-specific alleles in the hybrid.
2025-05-12 | E-MTAB-14954 | biostudies-arrayexpress
Project description:Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from Musa acuminata tissues (including leaves, male flowers and immature fruit). The high depth of the resulting datasets enabled us to examine in detail critical small RNA features as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the maize genome under study.
2011-05-10 | GSE28972 | GEO
Project description:Salinity stress study of Musa acuminata cv. Mas using RNA sequencing
| PRJNA1299623 | ENA
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
Project description:Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from Musa acuminata tissues (including leaves, male flowers and immature fruit). The high depth of the resulting datasets enabled us to examine in detail critical small RNA features as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the maize genome under study. Small RNA libraries were derived from leaves, male flowers and immature fruit of Musa acuminata. Total RNA was isolated using the Plant RNA Purification Reagent (Invitrogen), and submitted to Illumina (Hayward, CA, http://www.illumina.com) for small RNA library construction using approaches described in (Lu et al., 2007) with minor modifications. The small RNA libraries were sequenced with the Sequencing-By-Synthesis (SBS) technology by Illumina. PERL scripts were designed to remove the adapter sequences and determine the abundance of each distinct small RNA. We thank Nicolas Roux for providing the plant material as well as Kan Nobuta and Gayathri Mahalingam for assistance with the computational methods.
2011-05-09 | E-GEOD-28972 | biostudies-arrayexpress