Evidence map›Paper›PMID 31878878›Full record

ArticleBMC plant biology2019

Integrated analyses of miRNAome and transcriptome reveal zinc deficiency responses in rice seedlings.

Houqing Zeng, Xin Zhang, Ming Ding, Yiyong Zhu

Open access · goldAbstract 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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
7.0field-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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Phosphorus Starvation- and Zinc Excess-InducedJournal of fungi (Basel, Switzerland) · 2021
    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

4 authors at 3 institutions in 1 country.

Houqing ZengCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 311121, China. zenghq@hznu.edu.cn.ORCID http://orcid.org/0000-0002-5296-3816
Xin ZhangCollege of Agriculture and Biotechnology, Hunan University of Humanities, Science and Technology, Loudi, 417000, China.
Ming DingCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China.
Yiyong ZhuCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China.
Nanjing Agricultural University · CNHangzhou Normal University · CNHunan University of Humanities, Science and Technology · CN

Funding

National Natural Science Foundation of China 31471937National Natural Science Foundation of China 31800201Natural Science Foundation of Zhejiang Province LY20C150002
6 · The paper itself

Abstract

backgroundZinc (Zn) deficiency is one of the most widespread soil constraints affecting rice productivity, but the molecular mechanisms underlying the regulation of Zn deficiency response is still limited. Here, we aim to understand the molecular mechanisms of Zn deficiency response by integrating the analyses of the global miRNA and mRNA expression profiles under Zn deficiency and resupply in rice seedlings by integrating Illumina's high-throughput small RNA sequencing and transcriptome sequencing.

resultsThe transcriptome sequencing identified 360 genes that were differentially expressed in the shoots and roots of Zn-deficient rice seedlings, and 97 of them were recovered after Zn resupply. A total of 68 miRNAs were identified to be differentially expressed under Zn deficiency and/or Zn resupply. The integrated analyses of miRNAome and transcriptome data showed that 12 differentially expressed genes are the potential target genes of 10 Zn-responsive miRNAs such as miR171g-5p, miR397b-5p, miR398a-5p and miR528-5p. Some miRNA genes and differentially expressed genes were selected for validation by quantitative RT-PCR, and their expressions were similar to that of the sequencing results.

conclusionThese results provide insights into miRNA-mediated regulatory pathways in Zn deficiency response, and provide candidate genes for genetic improvement of Zn deficiency tolerance in rice.

Indexed as

TranscriptomeGenes, PlantMicroRNAsOryzaSeedlingsZincMicroRNAsZincCoppermicroRNAOxidative stressRice (Oryza sativa)TranscriptomeZinc deficiency

Identifiers

PMID31878878
PMCPMC6933703
OpenAlexW2998283773

What OpenQuestion holds

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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.