Evidence map›Paper›PMID 31242858›Full record

ArticleBMC plant biology2019

Comprehensive dissection of transcript and metabolite shifts during seed germination and post-germination stages in poplar.

Chunpu Qu, Zhuang Zuo, Lina Cao, Jiahuan Huang, Xue Sun, Peng Zhang, Chengjun Yang, Lixin Li, Zhiru Xu, Guanjun Liu

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  10. Dynamic Transcriptomic and Metabolomic Analyses ofFrontiers in plant science · 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

10 authors at 1 institution in 1 country.

Chunpu QuState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), School of Forestry, Northeast Forestry University, Harbin, 150040, People's Republic of China.
Zhuang ZuoState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), School of Forestry, Northeast Forestry University, Harbin, 150040, People's Republic of China.
Lina CaoState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), School of Forestry, Northeast Forestry University, Harbin, 150040, People's Republic of China.
Jiahuan HuangCollege of Life Science, Northeast Forestry University, Harbin, 150040, People's Republic of China.
Xue SunState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), School of Forestry, Northeast Forestry University, Harbin, 150040, People's Republic of China.
Peng ZhangSchool of Forestry, Northeast Forestry University, Harbin, 150040, People's Republic of China.
Chengjun YangSchool of Forestry, Northeast Forestry University, Harbin, 150040, People's Republic of China.
Lixin LiKey Laboratory of Saline-Alkali Vegetation Ecology Restoration, Ministry of Education, Alkali Soil Natural Environmental Science Center, Northeast Forestry University, Harbin, 150040, People's Republic of China.
Zhiru XuState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), School of Forestry, Northeast Forestry University, Harbin, 150040, People's Republic of China. xuzhiru2003@126.com.
Guanjun LiuState Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), School of Forestry, Northeast Forestry University, Harbin, 150040, People's Republic of China. liuguanjun2013@nefu.edu.cn.ORCID http://orcid.org/0000-0003-4517-8278
Northeast Forestry University · CN

Funding

National Natural Science Foundation of China No. 31570648National Natural Science Foundation of China No. 31600534the Fundamental Research Funds for the Central Universities 2572017CA01
6 · The paper itself

Abstract

backgroundSeed germination, a complex, physiological-morphogenetic process, is a critical stage in the life cycle of plants. Biological changes in germinating seeds have not been investigated in poplar, a model woody plant.

resultsIn this study, we exploited next-generation sequencing and metabolomics analysis and uncovered a series of significantly different genes and metabolites at various stages of seed germination and post germination. The K-means method was used to identify multiple transcription factors, including AP2/EREBP, DOF, and YABBY, involved in specific seed germination and post-germination stages. A weighted gene coexpression network analysis revealed that cell wall, amino acid metabolism, and transport-related pathways were significantly enriched during stages 3 and 5, with no significant enrichment observed in primary metabolic processes such as glycolysis and the tricarboxylic acid cycle. A metabolomics analysis detected significant changes in intermediate metabolites in these primary metabolic processes, while a targeted correlation network analysis identified the gene family members most relevant to these changing metabolites.

conclusionsTaken together, our results provide important insights into the molecular networks underlying poplar seed germination and post-germination processes. The targeted correlation network analysis approach developed in this study can be applied to search for key candidate genes in specific biochemical reactions and represents a new strategy for joint multiomics analyses.

Indexed as

GerminationGene Expression ProfilingGene Expression Regulation, PlantPlant ProteinsPopulusSeedsTranscription FactorsPlant ProteinsTranscription FactorsCandidate genesData integrationMetabolomicsPoplarSeed germination and post-germination stagesTranscriptomics

Identifiers

PMID31242858
PMCPMC6595626
OpenAlexW2953449732

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.