Evidence map›Paper›PMID 28926933›Full record

ArticleInternational journal of molecular sciences2017

iTRAQ-Based Quantitative Proteomic Analysis Reveals Cold Responsive Proteins Involved in Leaf Senescence in Upland Cotton (Gossypium hirsutum L.).

Xuewei Zheng, Shuli Fan, Hengling Wei, Chengcheng Tao, Qiang Ma, Qifeng Ma, Siping Zhang, Hongbin Li, Chaoyou Pang, Shuxun Yu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.1field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
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  4. iTRAQ-Based Proteomic Analysis of Watermelon Fruits in Response toInternational journal of molecular sciences · 2020
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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 2 institutions in 1 country.

Xuewei ZhengState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China. xwzheng0529@163.com.
Shuli FanState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China. fansl@cricaas.com.cn.
Hengling WeiState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China. henglingwei@163.com.
Chengcheng TaoCollege of Life Sciences, Key laboratory of Agrobiotechnology, Shihezi University, Shihezi 832003, China. taocc_124@163.com.
Qiang MaState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China. maqiang5@126.com.
Qifeng MaState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China. maqf@cricaas.com.cn.
Siping ZhangState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China. zhsp5337@163.com.
Hongbin LiCollege of Life Sciences, Key laboratory of Agrobiotechnology, Shihezi University, Shihezi 832003, China. lihb@shzu.edu.cn.
Chaoyou PangState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China. chypang@163.com.
Shuxun YuState Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang 455000, China. ysx195311@163.com.
Cotton Research Institute · CNShihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premature leaf senescence occurs in the ultimate phase of the plant, and it occurs through a complex series of actions regulated by stress, hormones and genes. In this study, a proteomic analysis was performed to analyze the factors that could induce premature leaf senescence in two cotton cultivars. We successfully identified 443 differential abundant proteins (DAPs) from 7388 high-confidence proteins at four stages between non-premature senescence (NS) and premature senescence (PS), among which 158 proteins were over-accumulated, 238 proteins were down-accumulated at four stages, and 47 proteins displayed overlapped accumulation. All the DAPs were mapped onto 21 different categories on the basis of a Clusters of Orthologous Groups (COG) analysis, and 9 clusters were based on accumulation. Gene Ontology (GO) enrichment results show that processes related to stress responses, including responses to cold temperatures and responses to hormones, are significantly differentially accumulated. More importantly, the enriched proteins were mapped in The Arabidopsis Information Resource (TAIR), showing that 58 proteins play an active role in abiotic stress, hormone signaling and leaf senescence. Among these proteins, 26 cold-responsive proteins (CRPs) are significantly differentially accumulated. The meteorological data showed that the median temperatures declined at approximately 15 days before the onset of aging, suggesting that a decrease in temperature is tightly linked to an onset of cotton leaf senescence. Because accumulations of H₂O₂ and increased jasmonic acid (JA) were detected during PS, we speculate that two pathways associated with JA and H₂O₂ are closely related to premature leaf senescence in cotton.

Indexed as

Cold-Shock ResponseCyclopentanesGene Expression Regulation, PlantGossypiumOxylipinsPlant LeavesPlant ProteinsProteomeCyclopentanesjasmonic acidOxylipinsPlant ProteinsProteomecold-responsive proteinsiTRAQjasmonic acidpremature leaf senescenceproteomic

Identifiers

PMID28926933
PMCPMC5618633
OpenAlexW2755380422

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.