Evidence map›Paper›PMID 25775154›Full record

ArticleInternational journal of molecular sciences2015

Genome-wide identification and analysis of drought-responsive genes and microRNAs in tobacco.

Fuqiang Yin, Cheng Qin, Jian Gao, Ming Liu, Xirong Luo, Wenyou Zhang, Hongjun Liu, Xinhui Liao, Yaou Shen, Likai Mao and 4 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
  7. Review
  8. Article
  9. Rootstocks OverexpressingInternational journal of molecular sciences · 2021
    Article
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  11. Article
  12. Review
  13. Article
  14. Article
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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

14 authors.

Fuqiang YinSchool of Agricultural Sciences, Xichang College, Xichang 615000, China. yinfuqiang04@sina.com.
Cheng QinMaize Research Institute of Sichuan Agricultural University/Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu 611130, China. luoxirong1982@gmail.com.
Jian GaoMaize Research Institute of Sichuan Agricultural University/Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu 611130, China. gaojian8888@gmail.com.
Ming LiuSchool of Agricultural Sciences, Xichang College, Xichang 615000, China. lming311608@sina.com.
Xirong LuoZunyi Academy of Agricultural Sciences, Zunyi 563102, China. luoxirong1982@gmail.com.
Wenyou ZhangSchool of Agricultural Sciences, Xichang College, Xichang 615000, China. zhangwy@gmail.com.
Hongjun LiuMaize Research Institute of Sichuan Agricultural University/Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu 611130, China. lhj20305@gmail.com.
Xinhui LiaoBeijing Genomics Institute-Shenzhen, Shenzhen 518083, China. liaoxinhui@bgitechsolutions.com.
Yaou ShenMaize Research Institute of Sichuan Agricultural University/Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu 611130, China. shenyaou@gmail.com.
Likai MaoBeijing Genomics Institute-Shenzhen, Shenzhen 518083, China. maolikai@bgitechsolutions.com.
Zhiming ZhangMaize Research Institute of Sichuan Agricultural University/Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu 611130, China. zzmmaize@gmail.com.
Haijian LinMaize Research Institute of Sichuan Agricultural University/Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu 611130, China. lhj20305@gmail.com.
Thomas LübberstedtDepartment of Agronomy, Iowa State University, Ames, IA 50011, USA. thomasl@iastate.edu.
Guangtang PanMaize Research Institute of Sichuan Agricultural University/Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu 611130, China. pangt@sicau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought stress response is a complex trait regulated at transcriptional and post-transcriptional levels in tobacco. Since the 1990s, many studies have shown that miRNAs act in many ways to regulate target expression in plant growth, development and stress response. The recent draft genome sequence of Nicotiana benthamiana has provided a framework for Digital Gene Expression (DGE) and small RNA sequencing to understand patterns of transcription in the context of plant response to environmental stress. We sequenced and analyzed three Digital Gene Expression (DGE) libraries from roots of normal and drought-stressed tobacco plants, and four small RNA populations from roots, stems and leaves of control or drought-treated tobacco plants, respectively. We identified 276 candidate drought responsive genes (DRGs) with sequence similarities to 64 known DRGs from other model plant crops, 82 were transcription factors (TFs) including WRKY, NAC, ERF and bZIP families. Of these tobacco DRGs, 54 differentially expressed DRGs included 21 TFs, which belonged to 4 TF families such as NAC (6), MYB (4), ERF (10), and bZIP (1). Additionally, we confirmed expression of 39 known miRNA families (122 members) and five conserved miRNA families, which showed differential regulation under drought stress. Targets of miRNAs were further surveyed based on a recently published study, of which ten targets were DRGs. An integrated gene regulatory network is proposed for the molecular mechanisms of tobacco root response to drought stress using differentially expressed DRGs, the changed expression profiles of miRNAs and their target transcripts. This network analysis serves as a reference for future studies on tobacco response stresses such as drought, cold and heavy metals.

Indexed as

Gene Expression Regulation, PlantGenome, PlantDroughtsGene Regulatory NetworksMicroRNAsNicotianaPlant RootsSequence Analysis, RNAStress, PhysiologicalMicroRNAs

Identifiers

PMID25775154
PMCPMC4394501

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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.