Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MiRNA Expression data from maize young leaf and developing seed

ABSTRACT: miRNAs of at least 2 times expression level higher in seeds were all from the miR319, miR171 and miR166 family. In leaves, most up-regulated miRNAs included miR399a/c/d/e, miR408, miR159c/d, miR156k/j, miR160a/b/c/d/e and miR164a/b/c/d We intend to identify the up-regulated miRNAs in maize seed and screen for key miRNAs involved in maize seed development

ORGANISM(S): Zea mays

SUBMITTER: Mingming Kang

PROVIDER: E-GEOD-37322 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Characterization of microRNAs expression during maize seed development.

Kang Mingming M Zhao Qian Q Zhu Dengyun D Yu Jingjuan J

BMC genomics 20120801

<h4>Background</h4>MicroRNAs (miRNAs) are approximately 20-22 nt non-coding RNAs that play key roles in many biological processes in both animals and plants. Although a number of miRNAs were identified in maize, the function of miRNA in seed development was merely discussed.<h4>Results</h4>In this study, two small RNA libraries were sequenced, and a total reads of 9,705,761 and 9,005,563 were generated from developing seeds and growing leaves, respectively. Further analysis identified 125 known ...[more]

PMID: 22853295

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Project description:Several reports have described the involvement of miRNAs in abiotic stresses. However, their role in biotic stress or to beneficial microbes has not been fully explored. In order to understand on the epigenetic regulation in plant in response to nitrogen-fixing bacteria association, we analyzed the sRNA regulation in maize hybrids (Zea mays M-bM-^@M-^S UENF 506-8) inoculated with the beneficial diazotrophic bacteria (Herbaspirillum seropedicae). Deep sequencing analysis was carried out to identify the sRNAs regulated in maize during association with diazotrophic bacteria. For this analysis, maize plants were germinated in wet paper and put in hydroponic system with HoaglandM-bM-^@M-^Ys solution and then inoculated with H. seropedicae for seven days. Mock and inoculated plants were collected and total RNA from a pool of samples was extracted with Trizol reagent. The two sRNA libraries were sequenced by Illumina. The sequences were filtered to remove adaptors and contaminants rRNA and tRNAs, and sequences with 18-28 nt in length were selected. To identify the miRNAs present in these libraries, we used two strategies using the same website (http://srna-tools.cmp.uea.ac.uk): one to identify novel miRNAs using the maize genome (verson 2) and miRCat pipeline; and other to identify conserved miRNAs using the miRBase database (release 13.0, http://microrna.sanger.ac.uk) and miRProf pipeline. We identified 17 novel putative miRNAs candidates and mapped the precursor of these miRNAs in the maize genome. Furthermore, we identified 25 conserved miRNAs families and the differential expressions were analyzed with miRProf pipeline. The bioinformatics analysis of four up-regulated miRNAs (miR397, miR398, miR408 and miR528) in inoculated plant was validated using stemM-bM-^@M-^Sloop RT-PCR assay. Our findings contribute to increase the knowledge of the molecular relation between plants and endophytic bacteria. Screenning of sRNA transcriptome of maize plants inoculated with Herbaspirillum seropedicae after seven days

Dataset Information

MiRNA Expression data from maize young leaf and developing seed

Publications

Characterization of microRNAs expression during maize seed development.

Similar Datasets

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