Literature DB >> 32226817

Data on occurrence of miRNA precursors in the Cucurbita maxima phloem sap.

Eugeny A Tolstyko1, Alexander A Lezzhov2, Anna D Solovieva1, Andrey G Solovyev1,3,4.   

Abstract

The phloem sieve elements (SEs), enucleate cells, contain RNAs, which are imported from surrounding tissues and cells, mostly companion cells tightly associated with SEs, and transported via the phloem over the whole plant body. The RNA phloem transport is essential for plant individual development and responses to environmental cues. Recently, we identified primary miRNA (pri-miRNA) sequences in de novo assembled transcriptome of Cucurbita maxima phloem sap and reported 11 most abundant pri-miRNAs [1]. Here, we provide the output of this analysis in complete detail. For the full set of pri-miRNAs identified in the C. maxima phloem sap transcriptome, data on relative abundance are provided along with annotated sequence data.
© 2019 The Author(s).

Entities:  

Keywords:  Phloem; Phloem RNA; miRNA; miRNA precursor; pri-miRNA

Year:  2020        PMID: 32226817      PMCID: PMC7093818          DOI: 10.1016/j.dib.2019.105083

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table This is the first report on the set of pri-miRNAs that are present in the phloem sap. The reported data can be valuable for scientists studying cell-to-cell and phloem transport of RNA and, in general, molecular mechanisms of signalling in plants. These data will be useful for rational, knowledge-based selection of model pri-miRNAs for experimental analyses of molecular mechanism of pri-miRNA transport into SEs and long-distance trafficking via the phloem, as well as studies of phloem pri-miRNAs roles in regulation of gene expression.

Data description

Sequence analysis of transcriptome sequencing data for Cucurbita maxima phloem sap revealed the presence of 35 contigs showing significant (e-value less than 1e-15) sequence similarity to known pri-miRNAs of Cucumis melo [1]; raw data on sequences of identified contigs are presented in Supplementary Fig. S1. In a further analysis of the raw data, a relative abundance of each of these contigs in the phloem sap was characterized by the number of primary reads that could be aligned to this contig, read count normalized per 100 nucleotides of contig sequence, and average coverage (Table 1).
Table 1

Identification of pri-miRNA sequences in the Cucurbita maxima phloem sap.

C. melo pre-miRNAC. maxima Contig nameAlignment lengthE valueContig lengthCoverageReads alignedReads per 100 nucl.
cme-MIR156dP69980561.E−171742.7895.17
cme-MIR156gP186421022.E−348805.5510011.36
cme-MIR159aP175472097.E−5192522.1343346.81
cme-MIR159aP211342092.E−6578472.921216155.1
cme-MIR160aP48351861.E−302615.19269.96
cme-MIR160bP25386901.E−3063941.2147974.96
cme-MIR160bP29894901.E−3051529.618435.73
cme-MIR162P50997996.E−412451.8983.27
cme-MIR162P60916882.E−282003.5126
cme-MIR166bP441661031.E−362936.563812.97
cme-MIR166dP196691201.E−2584198.021795213.44
cme-MIR166eP315022873.E−3247920.6820041.75
cme-MIR167cP883911031.E−241463.885.48
cme-MIR167eP451841174.E−192851.5993.16
cme-MIR167fP257841279.E−206278.7411117.7
cme-MIR168P79022182.E−52150810.9135123.28
cme-MIR169gP488441202.E−232584.75228.53
cme-MIR169nP122011486.E−1712017.9519916.57
cme-MIR169nP84102542.E−161533.0185.23
cme-MIR169rP49298918.E−202555.342710.59
cme-MIR171iP38671878.E−43198647.982306116.11
cme-MIR171iP53141922.E−26178411.346626.12
cme-MIR172bP53263846.E−162327.843213.79
cme-MIR2111aP53142556.E−162333.28166.87
cme-MIR319aP200121882.E−7082842.8874890.34
cme-MIR319bP89332624.E−221443.8385.56
cme-MIR319cP53520874.E−302314.39187.79
cme-MIR319dP207931921.E−5379720.7633341.78
cme-MIR390aP379821165.E−2436426.7423664.84
cme-MIR390bP381211353.E−2136218.8613236.46
cme-MIR393aP107131138.E−281292102.92777214.94
cme-MIR396bP299871495.E−3251322.8123545.81
cme-MIR530bP553251094.E−242231.6462.69
cme-MIR854P76761066.E−321528108.113640238.22
cme-MIR854P88231355.E−33142859.271792125.49
Identification of pri-miRNA sequences in the Cucurbita maxima phloem sap. Sequences showing significant (e-value less than 1e-15) sequence similarity to the following C. melo miRNA precursors were not found in C. maxima phloem sap transcriptome: miR156a, miR156b, miR156c, miR156e, miR156f, miR156h, miR156i, miR156j, miR159b, miR160c, miR160d, miR164a, miR164b, miR164c, miR164d, miR166a, miR166c, miR166g, miR166h, miR166i, miR167a, miR167b, miR167d, miR169a, miR169b, miR169c, miR169d, miR169e, miR169f, miR169h, miR169i, miR169j, miR169k, miR169l, miR169m, miR169o, miR169p, miR169q, miR169s, miR169t, miR171a, miR171b, miR171c, miR171d, miR171e, miR171f, miR171g, miR171h, miR172a, miR172c, miR172d, miR172e, miR172f, miR1863, miR2111b, miR390c, miR390d, miR393b, miR393c, miR394a, miR394b, miR395a, miR395b, miR395c, miR395d, miR395e, miR395f, miR396a, miR396c, miR396d, miR396e, miR397, miR398a, miR398b, miR399a, miR399b, miR399c, miR399d, miR399e, miR399f, miR399g, miR408, miR477a, miR477b, miR530a, miR7129, miR7130, miR828, miR845, miR858.

Experimental design, materials, and methods

Transcriptome sequencing data for C. maxima phloem sap (SRX146322) were downloaded using fastq-dump tool of NCBI SRA Toolkit 2.9.0. (http://ncbi.github.io/sra-tools/). Reads quality was checked with FastQC (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/). De novo assembly of phloem sap transcriptome was carried out using SPAdes 3.12.0 [2] in “RNA mode”. The obtained C. maxima phloem sap transcriptome assembly included 96318 contigs. Sequences of C. melo pre-miRNAs annotated at miRBase [3] were downloaded in fasta format and used as queries for BLAST [4] searches for C. maxima assembled contigs containing related sequences. In order to obtain coverage values, primary reads were aligned with assembled contigs using Bowtie2 [5].

CRediT authorship contribution statement

Eugeny A. Tolstyko: Methodology, Investigation. Alexander A. Lezzhov: Methodology, Investigation. Anna D. Solovieva: Investigation. Andrey G. Solovyev: Conceptualization, Funding acquisition, Writing - original draft.

Specifications Table

SubjectPlant Science
Specific subject areamiRNA-based regulation of gene expression in plants
Type of dataTable
How data were acquiredPhloem transcriptome was assembled by SPAdes 3.12.0. Contigs containing miRNA precursors were identified by using BLAST. Alignments of primary reads with contigs were performed using Bowtie2.
Data formatRaw data, analyzed data
Parameters for data collectionDatabase search, dataset selection.
Description of data collectionTranscriptome sequencing data for C. maxima phloem sap were retrieved from NCBI Sequence Read Archive.
Data source locationThe dataset is provided in Supplementary Fig. S1
Data accessibilityWith the article; raw data are provided in Supplementary Fig. S1, analyzed data are presented in Table 1
Related research articleE. A. Tolstyko, A. A. Lezzhov, and A. G. Solovyev. Identification of miRNA precursors in the phloem of Cucurbita maxima. PeerJ, 7 (2019) e8269. https://doi.org/10.7717/peerj.8269.
Value of the Data

This is the first report on the set of pri-miRNAs that are present in the phloem sap.

The reported data can be valuable for scientists studying cell-to-cell and phloem transport of RNA and, in general, molecular mechanisms of signalling in plants.

These data will be useful for rational, knowledge-based selection of model pri-miRNAs for experimental analyses of molecular mechanism of pri-miRNA transport into SEs and long-distance trafficking via the phloem, as well as studies of phloem pri-miRNAs roles in regulation of gene expression.

  5 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

3.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

4.  Identification of miRNA precursors in the phloem of Cucurbita maxima.

Authors:  Eugeny Tolstyko; Alexander Lezzhov; Andrey Solovyev
Journal:  PeerJ       Date:  2019-12-11       Impact factor: 2.984

5.  miRBase: annotating high confidence microRNAs using deep sequencing data.

Authors:  Ana Kozomara; Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2013-11-25       Impact factor: 16.971

  5 in total

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