Evidence map›Paper›PMID 35548301›Full record

ArticleFrontiers in plant science2022

iTRAQ Proteomic Analysis of Wheat (

Rui Yang, Murong Li, Matthew Tom Harrison, Shah Fahad, Mingmei Wei, Xiu Li, Lijun Yin, Aihua Sha, Meixue Zhou, Ke Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. The Proteomic and Peptidomic Response of Wheat (Plants (Basel, Switzerland) · 2025
    Article
  3. 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 at 3 institutions in 3 countries.

Rui YangHubei Collaborative Innovation Center for Grain Industry, Yangtze University, Jingzhou, China.
Murong LiHubei Collaborative Innovation Center for Grain Industry, Yangtze University, Jingzhou, China.
Matthew Tom HarrisonTasmanian Institute of Agriculture, University of Tasmania, Burnie, TAS, Australia.
Shah FahadHainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University, Haikou, China.
Mingmei WeiHubei Collaborative Innovation Center for Grain Industry, Yangtze University, Jingzhou, China.
Xiu LiHubei Collaborative Innovation Center for Grain Industry, Yangtze University, Jingzhou, China.
Lijun YinHubei Collaborative Innovation Center for Grain Industry, Yangtze University, Jingzhou, China.
Aihua ShaHubei Collaborative Innovation Center for Grain Industry, Yangtze University, Jingzhou, China.
Meixue ZhouTasmanian Institute of Agriculture, University of Tasmania, Burnie, TAS, Australia.
Ke LiuTasmanian Institute of Agriculture, University of Tasmania, Burnie, TAS, Australia.
Xiaoyan WangHubei Collaborative Innovation Center for Grain Industry, Yangtze University, Jingzhou, China.
Yangtze University · CNUniversity of Tasmania · AUHainan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transient and chronic waterlogging constrains crop production in many regions of the world. Here, we invoke a novel iTRAQ-based proteomic strategy to elicit protein synthesis and regulation responses to waterlogging in tolerant (XM 55) and sensitive genotypes (YM 158). Of the 7,710 proteins identified, 16 were distinct between the two genotypes under waterlogging, partially defining a proteomic basis for waterlogging tolerance (and sensitivity). We found that 11 proteins were up-regulated and 5 proteins were down-regulated; the former included an Fe-S cluster assembly factor, heat shock cognate 70, GTP-binding protein SAR1A-like and CBS domain-containing protein. Down-regulated proteins contained photosystem II reaction center protein H, carotenoid 9, 10 (9', 10')-cleavage dioxygenase-like, psbP-like protein 1 and mitochondrial ATPase inhibitor. We showed that nine proteins responded to waterlogging with non-cultivar specificity: these included 3-isopropylmalate dehydratase large subunit, solanesyl-diphosphate synthase 2, DEAD-box ATP-dependent RNA helicase 3, and 3 predicted or uncharacterized proteins. Sixteen of the 28 selected proteins showed consistent expression patterns between mRNA and protein levels. We conclude that waterlogging stress may redirect protein synthesis, reduce chlorophyll synthesis and enzyme abundance involved in photorespiration, thus influencing synthesis of other metabolic enzymes. Collectively, these factors accelerate the accumulation of harmful metabolites in leaves in waterlogging-susceptible genotypes. The differentially expressed proteins enumerated here could be used as biological markers for enhancing waterlogging tolerance as part of future crop breeding programs.

Indexed as

abiotic stressanthesiscrop adaptationiTRAQproteomicswaterloggingwheat

Identifiers

PMID35548301
PMCPMC9084233
OpenAlexW4224862977

What OpenQuestion holds

Textmetadata
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.