Genomics

Dataset Information

0

Identification and characterization of novel maize miRNAs involved in different genetic background


ABSTRACT: MicroRNAs (miRNAs) are a class of small, non-coding regulatory RNAs that regulate gene expression by guiding target mRNA cleavage or translational inhibition in plants and animals. At present there is relatively little information regarding the role of miRNAs in the response to drought stress in maize. In this study, two small RNA libraries were sequenced, and a total of 11,973,711 and 14,326,010 raw sequences were generated from growing leaves of drought-tolerant and drought-sensitive maize seedlings, respectively. Further analysis identified 192 mature miRNAs, which include 124 known maize (zma) miRNAs and 68 potential novel miRNA candidates. Additionally, 167 target genes (259 transcripts) of known and novel miRNAs were predicted to be differentially expressed between two maize inbred lines. Of these, three novel miRNAs were up-regulated and two were down-regulated under drought stress. The expression of these five miRNAs and nine target genes was confirmed using quantitative reverse transcription PCR. The expression of three of the miRNAs and their putative target genes exhibited an inverse correlation, and expression analysis suggested that all five may play important roles in maize leaves. Finally, GO annotations of the target genes indicated a potential role in photosynthesis, may therefore contribute to the drought stress response. This study describes the identification and characterization of novel miRNAs that are the differentially expressed in drought-tolerant and drought-sensitive inbred maize lines. This provides the foundation for further investigation into the mechanism of miRNA function in response to drought stress in maize.

ORGANISM(S): Zea mays

PROVIDER: GSE61700 | GEO | 2015/06/01

SECONDARY ACCESSION(S): PRJNA261880

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2010-06-03 | GSE16567 | GEO
2010-06-16 | E-GEOD-16567 | biostudies-arrayexpress
2019-09-21 | GSE137780 | GEO
2018-12-25 | GSE124340 | GEO
2022-02-28 | E-MTAB-11331 | biostudies-arrayexpress
2021-12-31 | GSE157521 | GEO
2021-12-31 | GSE157523 | GEO
2020-10-23 | GSE155050 | GEO
2018-07-01 | GSE98537 | GEO
2023-12-01 | GSE241263 | GEO