Evidence map›Paper›PMID 28068898›Full record

ArticleBMC genomics2017

Integrated mRNA and microRNA analysis identifies genes and small miRNA molecules associated with transcriptional and post-transcriptional-level responses to both drought stress and re-watering treatment in tobacco.

Qiansi Chen, Meng Li, Zhongchun Zhang, Weiwei Tie, Xia Chen, Lifeng Jin, Niu Zhai, Qingxia Zheng, Jianfeng Zhang, Ran Wang and 4 more

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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
10.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

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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

16 citing papers in PubMed, 44 citations in OpenAlex.

  1. PotatoInternational journal of molecular sciences · 2023
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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 at 4 institutions in 1 country.

Qiansi ChenZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China.
Meng LiKey Laboratory of Cultivation and Protection for Non-wood Forest Trees, Ministry of Education, Central South University of Forestry and Technology, Changsha, 410000, China.
Zhongchun ZhangSchool of Life Sciences, Central China Normal University, Wuhan, 430079, China.
Weiwei TieKey Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101, China.
Xia ChenZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China.
Lifeng JinZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China.
Niu ZhaiZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China.
Qingxia ZhengZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China.
Jianfeng ZhangZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China.
Ran WangZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China.
Guoyun XuZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China.
Hui ZhangZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China.
Pingping LiuZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China. Liu_pingping2012@163.com.
Huina ZhouZhengzhou Tobacco Research Institute, Zhengzhou, 450001, China. Joanzhn@163.com.
Tobacco Research Institute · CNCentral China Normal University · CNCentral South University of Forestry and Technology · CNChinese Academy of Tropical Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrought stress is one of the most severe problem limited agricultural productivity worldwide. It has been reported that plants response to drought-stress by sophisticated mechanisms at both transcriptional and post-transcriptional levels. However, the precise molecular mechanisms governing the responses of tobacco leaves to drought stress and water status are not well understood. To identify genes and miRNAs involved in drought-stress responses in tobacco, we performed both mRNA and small RNA sequencing on tobacco leaf samples from the following three treatments: untreated-control (CL), drought stress (DL), and re-watering (WL).

resultsIn total, we identified 798 differentially expressed genes (DEGs) between the DL and CL (DL vs. CL) treatments and identified 571 DEGs between the WL and DL (WL vs. DL) treatments. Further analysis revealed 443 overlapping DEGs between the DL vs. CL and WL vs. DL comparisons, and, strikingly, all of these genes exhibited opposing expression trends between these two comparisons, strongly suggesting that these overlapping DEGs are somehow involved in the responses of tobacco leaves to drought stress. Functional annotation analysis showed significant up-regulation of genes annotated to be involved in responses to stimulus and stress, (e.g., late embryogenesis abundant proteins and heat-shock proteins) antioxidant defense (e.g., peroxidases and glutathione S-transferases), down regulation of genes related to the cell cycle pathway, and photosynthesis processes. We also found 69 and 56 transcription factors (TFs) among the DEGs in, respectively, the DL vs. CL and the WL vs. DL comparisons. In addition, small RNA sequencing revealed 63 known microRNAs (miRNA) from 32 families and 368 novel miRNA candidates in tobacco. We also found that five known miRNA families (miR398, miR390, miR162, miR166, and miR168) showed differential regulation under drought conditions. Analysis to identify negative correlations between the differentially expressed miRNAs (DEMs) and DEGs revealed 92 mRNA-miRNA interactions between CL and DL plants, and 32 mRNA-miRNA interactions between DL and WL plants.

conclusionsThis study provides a global view of the transcriptional and the post-transcriptional responses of tobacco under drought stress and re-watering conditions. Our results establish an empirical foundation that should prove valuable for further investigations into the molecular mechanisms through which tobacco, and plants more generally, respond to drought stress at multiple molecular genetic levels.

Indexed as

DroughtsTranscription, GeneticGene Expression ProfilingMicroRNAsNicotianaPhenotypePlant LeavesRNA, MessengerSequence Analysis, RNAStress, PhysiologicalTranscription FactorsWaterMicroRNAsRNA, MessengerTranscription FactorsWater

Identifiers

PMID28068898
PMCPMC5223433
OpenAlexW2570199383

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.