Evidence map›Paper›PMID 32434543›Full record

ArticleBMC plant biology2020

Long non-coding RNAs in the alkaline stress response in sugar beet (Beta vulgaris L.).

Chunlei Zou, Yubo Wang, Bin Wang, Dan Liu, Lei Liu, Zhijia Gai, Caifeng Li

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. A long non-coding RNAFrontiers in plant science · 2025
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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 2 institutions in 1 country.

Chunlei ZouCollege of Agronomy, Northeast Agricultural University, Harbin, 150030, People's Republic of China.
Yubo WangCollege of Agronomy, Northeast Agricultural University, Harbin, 150030, People's Republic of China.
Bin WangCollege of Agronomy, Northeast Agricultural University, Harbin, 150030, People's Republic of China.
Dan LiuCollege of Agronomy, Northeast Agricultural University, Harbin, 150030, People's Republic of China.
Lei LiuCollege of Agronomy, Northeast Agricultural University, Harbin, 150030, People's Republic of China.
Zhijia GaiJiamusi Branch, Heilongjiang Academy of Agricultural Sciences, Jiamusi, 154000, People's Republic of China.
Caifeng LiCollege of Agronomy, Northeast Agricultural University, Harbin, 150030, People's Republic of China. licaifeng@neau.edu.cn.
Northeast Agricultural University · CNHeilongjiang Academy of Agricultural Machinery Engineering · CN

Funding

National Natural Science Foundation of China 31671622Technical System of Sugar Industry of China CARS-170201
6 · The paper itself

Abstract

backgroundLong noncoding RNAs (lncRNAs) play crucial roles in regulating numerous biological processes in which complicated mechanisms are involved. Nonetheless, little is known about the number, features, sequences, and possible effects of lncRNAs on plant responses to alkaline stress.

resultsLeaf samples collected based on the control Beta vulgaris L., as well as those under short-term and long-term alkaline treatments, were subjected to high-throughput RNA sequencing, through which a total of 8535 lncRNAs with reliable expression were detected. Of these lncRNAs, 102 and 49 lncRNA expression profiles were altered after short- and long-term alkaline stress, respectively. Moreover, 7 lncRNAs were recognized as precursors to 17 previously identified miRNAs. Four lncRNAs responsive to alkaline stress were estimated as targets for 8 miRNAs. Moreover, computational analysis predicted 4318 potential target genes as lncRNAs responsive to alkaline stress. Analysis of functional annotations showed that the abovementioned possible target genes were involved in various bioprocesses, such as kinase activity, structural constituents of ribosomes, the ribonucleoprotein complex and protein metabolic processes. Association analysis provided convincing proof of the interplay of specific candidate target genes with lncRNAs.

conclusionLncRNAs likely exert vital roles during the regulation of the alkaline stress response and adaptation in plants through interaction with protein-coding genes. The findings of this study contribute to comprehensively examining lncRNAs in Beta vulgaris L. and shed more light on the possible roles and modulating interplays of lncRNAs responsive to alkaline stress, thereby laying a certain basis for functional analyses of these types of Beta vulgaris L. lncRNAs in the future.

Indexed as

Beta vulgarisHydrogen-Ion ConcentrationRNA, Long NoncodingRNA, PlantStress, PhysiologicalRNA, Long NoncodingRNA, PlantAlkaline stressBeta vulgaris L.Computational analysisFunctional annotationLong noncoding RNAsRNA sequencing

Identifiers

PMID32434543
PMCPMC7241001
OpenAlexW3027293565

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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.