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Transcriptome analysis of banana (Musa acuminata) in response to low-nitrogen stress

ABSTRACT: Transcriptome analysis of banana (Musa acuminata) in response to low-nitrogen stress

PROVIDER: PRJNA554129 | ENA |

REPOSITORIES: ENA

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Transcriptome analysis of banana (Musa acuminata) in response to low-nitrogen stress

Project description:Nitrogen (N) is an abundant and essential macronutrient for plants growth and development processes, especially for the huge banana trees with high biomass. In this paper, we studied the response of banana resists to low N stress ueing Illumina RNA-Seq technology, and analyzed the DEGs associated with the absorption, transport, and ulitilize of nitrogen.

2020-07-11 | GSE134166 | GEO

Transcriptome of Zebrafish Intestine under Fe'i and Cavendish Banana Diet

Project description:Fe'i banana (Musa troglodytarum) fruit is carotenoid-rich and has been proposed to be utilized as a functional food. We report the first transcriptome of zebrafish (Danio rerio) intestine that were subjected to 8 weeks of Fe'i banana and Cavendish (Musa acuminata) diet. We found that Fe'i consumption in zebrafish modulated genes related to innate immunity.

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Banana transcriptome in response to blood disease infection

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)

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Project description:Musa acuminata Map

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Comparative transcriptome analysis of banana (Musa acuminata L. AAA group, cv. Cavendish) leaves and roots in response to low-potassium stress

Project description:Potassium (K+) is a crucial macronutrient in high biomass plants, especially in banana.we comparatively studyed the phenotypic traits and transcriptomic profiles of banana leaves and roots between low potassium group (LK) and normal-potassium group (NK). In our study, the K+ content and biomass index of banana seedling were all significantly decreased under the stress of low potassium group. Moreover, thirty differentially expressed genes (DEGs) related to potassium transport and uptake and transcription factors were analyzed deeply. DEGs about ABC transporters, protein kinases and ion transporters were also detected, these genes may play important roles during potassium deficiency. These results provide valuable information about banana response to low potassium conditions.

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Project description:SuperSAGE was applied in the non-model organism banana (Musa acuminata)

2005-06-15 | GSE2811 | GEO

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Project description:Musa acuminata Organism overview

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Musa acuminata subsp. acuminata

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Dataset of banana transcriptome in response to endophyte bacteria inoculation prior to Fusarium oxysporum f.sp. cubense tropical race 4 (Foc TR4) infection

Project description:We report the first data of RNA sequencing of banana Musa acuminata cv. Pisang ambon kuning (AAA group) inoculated by two different endophyte bacteria named Stenothropomonas nitritireducens (BR-49) and Kocuria rhizophila (SL-08), respectively, prior to Fusarium oxysprorum f.sp. cubense tropical race 4 (Foc TR4).

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High-throughput sequencing of small RNAs in Musa acuminata

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

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