Evidence map›Paper›PMID 31783726›Full record

ArticleBMC genetics2019

Transcriptome, physiological and biochemical analysis of Triarrhena sacchariflora in response to flooding stress.

Jia Wang, Han Sun, Jiajin Sheng, Surong Jin, Fasong Zhou, Zhongli Hu, Ying Diao

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

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  14. Comparative transcriptome analysis and identification of candidate adaptive evolution genes ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
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  16. Review
  17. Screening of Onion (Frontiers in plant science · 2021
    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

7 authors at 4 institutions in 1 country.

Jia WangState Key Laboratory of Hybrid Rice, Hubei Lotus Engineering Center, College of Life Sciences, Wuhan University, Wuhan, 430072, People's Republic of China.
Han SunState Key Laboratory of Hybrid Rice, Hubei Lotus Engineering Center, College of Life Sciences, Wuhan University, Wuhan, 430072, People's Republic of China.
Jiajin ShengState Key Laboratory of Hybrid Rice, Hubei Lotus Engineering Center, College of Life Sciences, Wuhan University, Wuhan, 430072, People's Republic of China.
Surong JinSchool of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, Wuhan, 430070, People's Republic of China.
Fasong ZhouState Key Laboratory of Hybrid Rice, Hubei Lotus Engineering Center, College of Life Sciences, Wuhan University, Wuhan, 430072, People's Republic of China.
Zhongli HuState Key Laboratory of Hybrid Rice, Hubei Lotus Engineering Center, College of Life Sciences, Wuhan University, Wuhan, 430072, People's Republic of China. huzhongli@whu.edu.cn.
Ying DiaoCollege of Forestry and Life Sciences, Chongqing University of Arts and Sciences, Chongqing, 402160, People's Republic of China. ydiao@whu.edu.cn.ORCID 0000-0002-8598-4082
Wuhan University · CNChongqing University of Arts and Sciences · CNNantong University · CNWuhan University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent decades, the frequency of flooding is increasing with the change of global climate. Flooding has become one of the major abiotic stresses that seriously affect growth and development of plants. Triarrhena sacchariflora Nakai has been considered a promising energy crop for utilization in ethanol production. Flooding stress is among the most severe abiotic stressors in the production of Nakai. However, the physiological and molecular biological mechanisms of Nakai response to flooding is still unclear. In the present study, in order to understand the molecular mechanisms of Nakai in response to flooding stress, the transcriptome, physiological and biochemical were investigated.

resultsThe results demonstrated that significant physiological changes were observed in photosynthetic system, antioxidative enzyme activity, chlorophyll, carotenoid, proline, lipid peroxidation and soluble sugar content under normal and flooding treatments. Such as, the chlorophyll, carotenoid contents and photosynthetic system were significantly decreased. Whereas, the antioxidative enzyme activity, proline, lipid peroxidation and soluble sugar has increased first and then decreased under treatments compared with the normal plants. Additionally, a total of 8832, 6608 and 3649 unigenes were validated to be differentially expressed under different treatments, respectively. Besides, gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of the different expression levels of genes also presented processes, which involved in photosynthesis, sucrose catabolism, glycolysis, stress response and defense, phytohormone biosynthesis and signal transduction.

conclusionsThe results provide a comprehensive view of the complex molecular events involved in the response to flooding stress of Nakai leaves, which also will promote the research in the development of flood-resistant crops and provide new tools for Nakai breeders.

Indexed as

CarotenoidsChlorophyllFloodsGene Expression ProfilingGene Expression Regulation, PlantHigh-Throughput Nucleotide SequencingLipid PeroxidationPhotosynthesisPlant BreedingPlant LeavesPlant ProteinsPoaceaeStress, PhysiologicalCarotenoidsChlorophyllPlant ProteinsBiochemicalFlooding stressNakaiPhysiologicalTranscriptomes

Identifiers

PMID31783726
PMCPMC6884903
OpenAlexW2990834414

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.