Evidence map›Paper›PMID 31185902›Full record

ArticleBMC plant biology2019

Identification of miRNAs and their target genes in Larix olgensis and verified of differential expression miRNAs.

Sufang Zhang, Shanshan Yan, Jiali Zhao, Huanhuan Xiong, Peiqi An, Junhui Wang, Hanguo Zhang, Lei Zhang

Abstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
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

8 authors.

Sufang ZhangState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, 150040, China.
Shanshan YanState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, 150040, China.
Jiali ZhaoState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, 150040, China.
Huanhuan XiongState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, 150040, China.
Peiqi AnState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, 150040, China.
Junhui WangState Key Laboratory of Tree Genetics and Breeding (Chinese Academy Of Forestry), Beijing, 100081, China.
Hanguo ZhangState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, 150040, China. hanguozhang1@sina.com.ORCID http://orcid.org/0000-0002-8904-539X
Lei ZhangState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, 150040, China. zhanglei@nefu.edu.cn.

Funding

Chinese National Natural Science Foundation(31700595) 31700595Chinese National Programs for High Technlogy Research and Development (2013AA102704) 2013AA102704Fundamental Research Funds for the Central Universities(2572016CA08) 2572016CA08National Science and Technology Major Project (2018ZX08020-003) 2018ZX08020-003
6 · The paper itself

Abstract

backgroundMiRNAs (microRNA) are 18-24 nt endogenous noncoding RNAs that regulate gene expression at the post-transcriptional level, including tissue-specific, developmental timing and evolutionary conservation gene expression.

resultsThis study used high-throughput sequencing technology for the first time in Larix olgensis, predicted 78 miRNAs, including 12,229,003 reads sRNA, screened differentially expressed miRNAs. Predicting target genes was helpful for understanding the miRNA regulation function and obtained 333 corresponding target genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional annotation were analysed, mostly including nucleic acid binding, plant hormone signal transduction, pantothenate and CoA biosynthesis, and cellulose synthase. This study will lay the foundation for clarifying the complex miRNA-mediated regulatory network for growth and development. In view of this, spatio-temporal expression of miR396, miR950, miR164, miR166 and miR160 were analysed in Larix olgensis during the growth stages of not lignified, beginning of lignification, and completely lignified in different tissues (root, stem, and leaf) by quantitative real-time PCR (qRT-PCR). There were differences in the expression of miRNAs in roots, stems and leaves in the same growth period. At 60 days, miR160, miR166 and miR396-2 exhibited the highest expression in leaves. At 120 days, most miRNAs in roots and stems decreased significantly. At 180 days, miRNAs were abundantly expressed in roots and stems. Meanwhile, analysis of the expression of miRNAs in leaves revealed that miR396-2 was reduced as time went on, whereas other miRNAs increased initially and then decreased. On the other hand, in the stems, miR166-1 was increase, whereas other miRNAs, especially miR160, miR164, miR396 and miR950-1, first decreased and then increased. Similarly, in the roots, miR950-2 first decreased and then increased, whereas other miRNAs exhibited a trend of continuous increase.

conclusionsThe present investigation included rapid isolation and identification of miRNAs in Larix olgensis through construction of a sRNA library using Solexa and predicted 78 novel miRNAs, which showed differential expression levels in different tissues and stages. These results provided a theoretical basis for further revealing the genetic regulation mechanism of miRNA in the growth and development of conifers and the verification of function in target genes.

Indexed as

Gene Expression Regulation, PlantGene Expression ProfilingGene LibraryHigh-Throughput Nucleotide SequencingLarixMicroRNAsRNA, PlantMicroRNAsRNA, PlantDifferential expressionLarix olgensismiRNATarget gene

Identifiers

PMID31185902
PMCPMC6558743

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.