Plant tissue and soil associated with Musa spp.
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA729168 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14876333.fastq.gz | Fastqsanger.gz | |||
| SRR14876333_1.fastq.gz | Fastqsanger.gz | |||
| SRR14876333_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 3 of 3 |
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Project description:Flavonoids are stress-inducible metabolites important for plant-microbe interactions. In contrast to their well-known function in initiating rhizobia nodulation in legumes, it is unclear whether and how flavonoids may contribute to plant stress resistance through affecting non-nodulating bacteria in the root microbiome. Here we show how flavonoids preferentially attracts Aeromonadaceae in Arabidopsis thaliana root microbiome and how flavonoid-dependent recruitment of an Aeromona spp. results in enhanced plant Na_H1 resistance.
2022-10-19 | GSE184873 | GEO
Project description:Flavonoids are stress-inducible metabolites important for plant-microbe interactions. In contrast to their well-known function in initiating rhizobia nodulation in legumes, it is unclear whether and how flavonoids may contribute to plant stress resistance through affecting non-nodulating bacteria in the root microbiome. Here we show how flavonoids preferentially attracts Aeromonadaceae in Arabidopsis thaliana root microbiome and how flavonoid-dependent recruitment of an Aeromona spp. results in enhanced plant drought resistance.
2022-10-19 | GSE184872 | GEO
Project description:Cold-sensitive Cavendish Banana and relatively cold-tolerant Dajiao (Musa spp.) comprise an important part of diets for millions of people around the globe. Low temperature is one of the key environment stresses which greatly affect the global banana production. However, little is known about the changes of global protein phosphorylation in Musa spp. and their regulatory roles in response to cold stress. In this study, we employed a TMT6-plex quantitative analysis to conduct a global phosphoproteome profiling between Cavendish Banana and Dajiao subject to the cold stress for 0 hour and 3 hour. A total of 679 phosphopeptides containing 772 distinct phosphorylated sites from 529 phosphoproteins were identified in Cavendish Banana, 180 phosphorylation sites (belonging to 147 phosphoproteins) were differentially changed after 3 h cold stress. While in Dajiao 241 phosphopeptides with 271 individual phosphosites from 207 phosphoproteins were confidently identified, and 83 phosphorylation sites from 63 phosphoproteins were differentially changed under 3 h cold stress. Bioinformatic analysis of protein interaction network indicated that Mitogen-activated protein kinase kinase 2 (MKK2) was located in the center of the MAPK signaling network along with 7 other members whose phosphorylated site abundances were remarkably differentiated between Cavendish Banana and Dajiao in response to cold stress. Western blotting of MKK2 protein and its T31 phosphorylated site showed the increased expression of MKK2 in the time course of cold stress, with no detectable T31 phosphorylation in Cavendish Banana. On the contrary, the decreased MKK2 expression with increased T31 phosphorylation was consistently observed in Dajiao. These results suggest that the MKK2 interaction network in Dajiao, along with other cold-specific phosphoproteins found in this study, appears to play an important role in the molecular mechanisms of Dajiao being high tolerance to cold stress. The results also provide new evidence that cellular MKK2 phosphorylation as a signaling pathway plays an important role in abiotic stress tolerance that serves as a universal plant cold tolerance mechanism. To the best of our knowledge, this is the first report of MKK2 network involved in the regulatory of the Musa spp. response to cold stress.
2017-01-24 | PXD004177 | Pride
Project description:In this study, we used TMT based comparative proteomic analysis to investigate the responses of the chilling-sensitive cultivar 'Baxijiao' (Musa spp. AAA) to cold stress. 'Baxijiao' seedlings were cultured for 3 months. The temperature was decreased by 3 °C from 25 to 10 °C every 3 days (25, 22, 19, 16, 13, and 10 °C). Samples were collected at the end of the third day at 25 (the control plants) and 10 °C. TMT quantitative analysis of proteins identified a total of 110,693 spectra with definite identification information, identified 5744 proteins, and the spectral identification rate was 26%. Using 1.3 times as the difference threshold, 366 differentially expressed proteins were obtained, of which 170 were up-regulated and 196 were down-regulated.
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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:'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.
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