Evidence map›Paper›PMID 29487185›Full record

ArticleG3 (Bethesda, Md.)2018

Transcriptome Analysis of

Wenguang He, Yicun Chen, Ming Gao, Yunxiao Zhao, Zilong Xu, Pei Cao, Qiyan Zhang, Yulian Jiao, Hongsheng Li, Liwen Wu and 1 more

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2018. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Ectopic Expression ofG3 (Bethesda, Md.) · 2019
    Article
  12. Article
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

11 authors.

Wenguang HeState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China.
Yicun ChenState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China.
Ming GaoState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China.
Yunxiao ZhaoState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China.
Zilong XuState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China.
Pei CaoState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China.
Qiyan ZhangState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China.
Yulian JiaoState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China.
Hongsheng LiState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China.
Liwen WuState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China wuliwenhappy@caf.ac.cn wyd11111@126.com.
Yangdong WangState Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, China wuliwenhappy@caf.ac.cn wyd11111@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

resultsThis study obtained 160.88 Gbp of clean data that were assembled into 100,072 unigenes, and a total of 38,658 unigenes were annotated. A total of 27,521 simple sequence repeats (SSRs) were identified after scanning the assembled transcriptome, and the mono-nucleotide repeats were predominant, followed by di-nucleotide and tri-nucleotide repeats. A total of 12,559 differentially expressed genes (DEGs) were detected from the female (F) and male (M) floral bud comparisons. The gene ontology (GO) databases revealed that these DEGs were primarily contained in "metabolic processes", "cellular processes", and "single-organism processes". The Kyoto Encyclopedia of Genes and Genomes (KEGG) databases suggested that the DEGs belonged to "plant hormone signal transduction" and accounted for a relatively large portion in all of these comparisons. We analyzed the expression level of plant hormone-related genes and detected the contents of several relevant plant hormones in different stages. The results revealed that the dynamic changes in each hormone content were almost consistent with the expression levels of relevant genes. The transcription factors selected from the DEGs were analyzed. Most DEGs of MADS-box were upregulated and most DEGs of bZIP were downregulated. The expression trends of the DEGs were nearly identical in female and male floral buds, and qRT-PCR analysis revealed consistency with the transcriptome data.

conclusionsWe sequenced and assembled a high-quality

Indexed as

Cell DifferentiationGene Expression ProfilingGene Expression Regulation, PlantFlowersLitseaMicrosatellite RepeatsMolecular Sequence AnnotationPlant Growth RegulatorsRNA, MessengerSequence Analysis, DNATranscription FactorsTranscriptomePlant Growth RegulatorsRNA, MessengerTranscription FactorsDEGsFloral bud differentiationGenome ReportHormoneLitsea cubebaRNA sequencingTranscription factors

Identifiers

PMID29487185
PMCPMC5873901

What OpenQuestion holds

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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.