Evidence map›Paper›PMID 29943113›Full record

ArticlePlanta2018

iTRAQ-based quantitative proteomic analysis reveals dynamic changes during daylily flower senescence.

Guangying Ma, Xiaohua Shi, Qingcheng Zou, Danqing Tian, Xia An, Kaiyuan Zhu

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  9. Deciphering the mitochondrial genome ofFrontiers in plant science · 2022
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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.

Guangying MaFloriculture Research and Development Center of Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China. magy@mail.zaas.ac.cn.
Xiaohua ShiFloriculture Research and Development Center of Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China.
Qingcheng ZouFloriculture Research and Development Center of Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China.
Danqing TianFloriculture Research and Development Center of Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China.
Xia AnFloriculture Research and Development Center of Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China.
Kaiyuan ZhuFloriculture Research and Development Center of Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, China.
ZheJiang Academy of Agricultural Sciences · CN

Funding

Hangzhou Municipal Science and Technology Bureau 20150932H13Zhejiang major projects of new agricultural varieties breeding 2016C02056-13
6 · The paper itself

Abstract

MAIN

conclusionSugar-related metabolic biological processes and metabolic pathways as well as invertase, protease, and ribosomal proteins may be critical regulators controlling the circadian rhythm and ephemeral properties of daylily flowers. Daylily is a familiar perennial flower. The daylily flower opens at dawn and withers away at night. Flower longevity in almost all daylily varieties from opening to fading is less than 24 h. In the past decades, the physiological changes and genetic responses to senescence in daylily flowers have been reported. However, the main metabolic pathways and biological processes involved in daylily flower senescence and the proteins involved in premature senility of daylily flowers are poorly understood. Herein, we identified differences between the proteomes of four developmental stages (s1-s4) of daylily flowers using iTRAQ-based quantitative proteomic methods. A total of 445 proteins (containing at least two unique peptides) were identified, and differentially expressed proteins (upregulation ≥ 1.5 or downregulation ≤ 0.67, P value ≤ 0.05) were detected between these stages in the following numbers: 58 (s2/s1), 59 (s3/s1), 31 (s3/s2), 64 (s4/s1), 52 (s4/s2), and 29 (s4/s3). Protein functions and classifications were analyzed based on GO, KEGG, and COG, and expressive hierarchical cluster analysis and functional enrichment analysis for differentially expressed proteins were carried out. A comparison of the late stages (s3 and s4) with the early stage (s1) revealed that the sugar (hexose, monosaccharide, and glucose) metabolic process GO category was the most enriched, and sugar (galactose, pentose, starch, and sucrose) metabolism pathways constituted the most enriched KEGG category. Finally, the potential research value of invertase, protease, and ribosomal proteins for revealing the mechanism underlying the circadian rhythm and ephemeral properties of daylily flowers are discussed. These data and analyses provide new insight into the senescence mechanism of daylily flowers.

Indexed as

Metabolic Networks and PathwaysProteomeFlowersHemerocallisPlant ProteinsProteomicsSugarsTime FactorsPlant ProteinsProteomeSugarsEnrichmentHemerocallisLongevityProteaseProtein

Identifiers

PMID29943113
OpenAlexW2810096444

What OpenQuestion holds

Textmetadata
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.