Evidence map›Paper›PMID 31900194›Full record

ArticleBMC genomics2020

Transcriptomic analyses of Pinus koraiensis under different cold stresses.

Fang Wang, Song Chen, Deyang Liang, Guan-Zheng Qu, Su Chen, Xiyang Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
12.5field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 51 citations in OpenAlex.

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  10. A genome wide transcriptional study ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
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  11. Overexpression of CassavaPlants (Basel, Switzerland) · 2021
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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

6 authors at 1 institution in 1 country.

Fang WangState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, People's Republic of China.
Song ChenState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, People's Republic of China.
Deyang LiangState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, People's Republic of China.
Guan-Zheng QuState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, People's Republic of China.
Su ChenState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, People's Republic of China. chensunefu@163.com.
Xiyang ZhaoState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, People's Republic of China. zhaoxyphd@163.com.ORCID http://orcid.org/0000-0003-3589-9936
Northeast Forestry University · CN

Funding

Forestry Science and Technology Development Project KJZXSA2019046Innovation Project of State Key Laboratory of Tree Genetics and Breeding 2018FT6
6 · The paper itself

Abstract

backgroundPinus koraiensis is an evergreen tree species with strong cold resistance. However, the transcriptomic patterns in response to cold stress are poorly understood for P. koraiensis. In this study, global transcriptome profiles were generated for P. koraiensis under cold stress (- 20 °C) over time by high-throughput sequencing.

resultsMore than 763 million clean reads were produced, which assembled into a nonredundant data set of 123,445 unigenes. Among them, 38,905 unigenes had homology with known genes, 18,239 were assigned to 54 gene ontology (GO) categories and 18,909 were assigned to 25 clusters of orthologous groups (COG) categories. Comparison of transcriptomes of P. koraiensis seedlings grown at room temperature (20 °C) and low temperature (- 20 °C) revealed 9842 differential expressed genes (DEGs) in the 6 h sample, 9250 in the 24 h sample, and 9697 in the 48 h sample. The number of DEGs in the pairwise comparisons of 6 h, 24 h and 48 h was relatively small. The accuracy of the RNA-seq was validated by analyzing the expression patterns of 12 DEGs by quantitative real-time PCR (qRT-PCR). In this study, 34 DEGs (22 upregulated and 12 downregulated) were involved in the perception and transmission of cold signals, 96 DEGs (41 upregulated and 55 downregulated) encoding 8 transcription factors that regulated cold-related genes expression, and 27 DEGs (17 upregulated and 10 downregulated) were involved in antioxidant mechanisms in response to cold stress. Among them, the expression levels of c63631_g1 (annexin D1), c65620_g1 (alpha-amylase isozyme 3C), c61970_g1 (calcium-binding protein KIC), c51736_g1 (ABA), c58408_g1 (DREB3), c66599_g1 (DREB3), c67548_g2 (SOD), c55044_g1 (CAT), c71938_g2 (CAT) and c11358_g1 (GPX) first increased significantly and then decreased significantly with the extension of stress time.

conclusionsA large number of DEGs were identified in P. koraiensis under cold stress, especially the DEGs involved in the perception and transmission of cold signals, the DEGs encoding TFs related to cold regulation and the DEGs removing ROS in antioxidation mechanisms. The transcriptome and digital expression profiling of P. koraiensis could facilitate the understanding of the molecular control mechanism related to cold responses and provide the basis for the molecular breeding of conifers.

Indexed as

Cold-Shock ResponseGene Expression ProfilingGene Expression Regulation, PlantHigh-Throughput Nucleotide SequencingPinusPlant ProteinsSeedlingsTranscription FactorsTranscriptomePlant ProteinsTranscription FactorsCold stressDifferential expressed genesPinus koraiensisRNA-seq

Identifiers

PMID31900194
PMCPMC6942419
OpenAlexW2998641470

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LicenceCC BY
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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.