Evidence map›Paper›PMID 29197334›Full record

ArticleBMC genomics2017

Identification and characterization of Prunus persica miRNAs in response to UVB radiation in greenhouse through high-throughput sequencing.

Shaoxuan Li, Zhanru Shao, Xiling Fu, Wei Xiao, Ling Li, Ming Chen, Mingyue Sun, Dongmei Li, Dongsheng Gao

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Crosstalk BetweenFrontiers in pharmacology · 2021
    Article
  4. Illumina sequencing revealed roles of microRNAs in different aluminum tolerance of two citrus species.Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  5. Genetic Transformation in Peach (Plants (Basel, Switzerland) · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Shaoxuan LiCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, 271018, People's Republic of China.
Zhanru ShaoKey Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, People's Republic of China.
Xiling FuCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, 271018, People's Republic of China.
Wei XiaoCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, 271018, People's Republic of China.
Ling LiCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, 271018, People's Republic of China.
Ming ChenCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, 271018, People's Republic of China.
Mingyue SunCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, 271018, People's Republic of China.
Dongmei LiCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, 271018, People's Republic of China. dmli2002@163.com.
Dongsheng GaoCollege of Horticulture Science and Engineering, Shandong Agricultural University, Tai'an, 271018, People's Republic of China. dsgao@sdau.edu.cn.
Shandong Agricultural University · CNChinese Academy of Sciences · CN

Funding

National Natural Science Foundation of China 31601706Natural Science Foundation of Shandong Province ZR2016CM09Science and Technology Innovation Team Item of Shandong Agriculture University-Facility Horticulture Advantages Team SYL2017YSTD07
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression of target mRNAs involved in plant growth, development, and abiotic stress. As one of the most important model plants, peach (Prunus persica) has high agricultural significance and nutritional values. It is well adapted to be cultivated in greenhouse in which some auxiliary conditions like temperature, humidity, and UVB etc. are needed to ensure the fruit quality. However, little is known about the genomic information of P. persica under UVB supplement. Transcriptome and expression profiling data for this species are therefore important resources to better understand the biological mechanism of seed development, formation and plant adaptation to environmental change. Using a high-throughput miRNA sequencing, followed by qRT-PCR tests and physiological properties determination, we identified the responsive-miRNAs under low-dose UVB treatment and described the expression pattern and putative function of related miRNAs and target genes in chlorophyll and carbohydrate metabolism.

resultsA total of 164 known peach miRNAs belonging to 59 miRNA families and 109 putative novel miRNAs were identified. Some of these miRNAs were highly conserved in at least four other plant species. In total, 1794 and 1983 target genes for known and novel miRNAs were predicted, respectively. The differential expression profiles of miRNAs between the control and UVB-supplement group showed that UVB-responsive miRNAs were mainly involved in carbohydrate metabolism and signal transduction. UVB supplement stimulated peach to synthesize more chlorophyll and sugars, which was verified by qRT-PCR tests of related target genes and metabolites' content measurement.

conclusionThe high-throughput sequencing data provided the most comprehensive miRNAs resource available for peach study. Our results identified a series of differentially expressed miRNAs/target genes that were predicted to be low-dose UVB-responsive. The correlation between transcriptional profiles and metabolites contents in UVB supplement groups gave novel clues for the regulatory mechanism of miRNAs in Prunus. Low-dose UVB supplement could increase the chlorophyll and sugar (sorbitol) contents via miRNA-target genes and therefore improve the fruit quality in protected cultivation of peaches.

Indexed as

RNA, PlantUltraviolet RaysChlorophyllComputational BiologyGene Expression ProfilingGene Expression Regulation, PlantHigh-Throughput Nucleotide SequencingMetabolomeMicroRNAsPlant ProteinsPrunus persicaSorbitolTranscriptomeChlorophyllMicroRNAsPlant ProteinsRNA, PlantSorbitolChlorophyll and carbohydratesHigh-throughput sequencingMicroRNAPrunus persicaUVB

Identifiers

PMID29197334
PMCPMC5712094
OpenAlexW2771403839

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.