Unknown,Transcriptomics,Genomics,Proteomics

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Identification of apple miRNAs and their potentialrole in Fire Blight resistance

ABSTRACT: miRNAs are key players in multiple biological processes, therefore analysis and characterization of these small regulatory RNAs is a critical step towards better understanding of animal and plant biology. In apple (Malus domestica) two hundred microRNAs are known, which most probably represents only a fraction of miRNAome diversity. As a result, more effort is required to better annotate miRNAs and their functions in this economically important species. We performed deep sequencing of twelve small RNA libraries obtained for fire blight resistant and fire blight sensitive trees. In the sequencing results we identified 116 novel microRNAs and confirmed a majority of previously reported apple miRNAs. We then experimentally verified selected candidates with RT-PCR and stem-loop qPCR and performed differential expression analysis. Finally, we identified and characterized putative targets of all known apple miRNAs. In this study we considerably expand the apple miRNAome by identifying and characterizing dozens of novel microRNAs. Moreover, our data suggests that apple microRNAs might be considered as regulators and markers of fire blight resistance. Actively-growing shoot tip tissue samples were collected from twelve apple trees, which includes three biological replicates of each following scion-rootstock combinations: B.9, G.30, M.111 and M.27.

ORGANISM(S): Malus domestica

SUBMITTER: El?bieta Kaja

PROVIDER: E-GEOD-59482 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:In plants, MicroRNAs (miRNAs) are a new class of endogenous small RNAs that play essential regulatory roles in plant growth, development and stress response. Extensive studies of miRNAs have been performed in model plants such as rice, Arabidopsis thaliana and other plants. However, the number of miRNAs discovered in maize is relatively low and little is known about miRNAs involved in the four stages during maize ear development. Here, we use deep-sequencing, miRNA microarray assays and computational methods to identify, proM-oM-,M-^Ale, and describe conserved and non-conserved miRNAs at four developmental stages. A total of 27 conserved miRNA families were identiM-oM-,M-^Aed in all four stages, In addition to known miRNAs, we also found 23 new maize-specific miRNAs together with their star strands. We have also shown that almost all of them originated from single genes. We have found that many known and new miRNAs showed temporally expression. Finally, a total of 251 transcripts (140 genes) targeted by 102 small RNAs including 98 miRNAs and 4 ta-siRNAs were identified by genomic-scale high-throughput sequencing of miRNA cleaved mRNAs.This study led to the confirmation of the authenticity of 27 conserved miRNA families and the discovery of 23 novel miRNAs in maize. In addition, we have identified 130 targets of known and new miRNAs and ta-siRNA using recently developed tools for the global identification of miRNA targets. Identification and characterization of this important class of regulatory genes in maize may improve our understanding of molecular mechanism controlling flower development. The seeds of maize inbred line B73 were first sterilized and germinated in an incubator, then grown in a controlled environment with 28M-BM-0C/21M-BM-0C (day/night) under a 16-h day/8-h night photoperiod with a relative humidity of 70%. Ear development can be divided into four stages: the growth point elongation phase, spikelet differentiation phase, the floret primordium differentiation phase and floret organ differentiation phase. Plant materials (ears) were collected as described previously. In brief, ears were manually collected at the four developmental stages according to the plant features (number of visible leaves, leaf age index, and number of unfolded and folded leaves) combined with microscopic observation.

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Identification of apple miRNAs and their potentialrole in Fire Blight resistance

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