Evidence map›Paper›PMID 35044566›Full record

ArticlePlanta2022

Ubiquitylomes and proteomes analyses provide a new interpretation of the molecular mechanisms of rice leaf senescence.

Xiangzhen Yu, Yongsheng Zhu, Yunjie Xie, Lele Li, Ziyi Jin, Yunrui Shi, Cuiqin Luo, Yidong Wei, Qiuhua Cai, Wei He and 3 more

Abstract read
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In one paragraph

Article in Planta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

13 authors at 1 institution in 2 countries.

Xiangzhen Yu *State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Yongsheng Zhu *State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Yunjie XieState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Lele LiState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Ziyi JinState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Yunrui ShiState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Cuiqin LuoState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Yidong WeiRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Qiuhua CaiRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Wei HeRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, 350018, China.
Yanmei ZhengState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Huaan XieState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. huaanxie@163.com.
Jianfu ZhangState Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. jianfzhang@163.com.ORCID http://orcid.org/0000-0002-2800-5124
Rice Research Institute · CN

Funding

key program of science and technology in fujian province, china 2020NZ08016the national key r&d program foundation of china 2016YFD0300508the special foundation of non-profit research institutes of fujian province 2018R1021-5
6 · The paper itself

Abstract

MAIN

conclusionWe identified a typical rice premature senescence leaf mutant 86 (psl86) and exhibited the first global ubiquitination data during rice leaf senescence. Premature leaf senescence affects the yield and quality of rice, causing irreparable agricultural economic losses. In this study, we reported a rice premature senescence leaf mutant 86 (psl86) in the population lines of rice (Oryza sativa) japonica cultivar 'Yunyin' (YY) mutagenized using ethyl methane sulfonate (EMS) treatment. Immunoblotting analysis revealed that a higher ubiquitination level in the psl86 mutant compared with YY. Thus, we performed the proteome and ubiquitylome analyses to identify the differential abundance proteins and ubiquitinated proteins (sites) related to leaf senescence. Among 885 quantified lysine ubiquitination (Kub) sites in 492 proteins, 116 sites in 94 proteins were classified as up-regulated targets and seven sites in six proteins were classified as down-regulated targets at a threshold of 1.5. Proteins with up-regulated Kub sites were mainly enriched in the carbon fixation in photosynthetic organisms, glycolysis/gluconeogenesis and the pentose phosphate pathway. Notably, 14 up-regulated Kub sites in 11 proteins were enriched in the carbon fixation in photosynthetic organism pathway, and seven proteins (rbcL, PGK, GAPA, FBA5, ALDP, CFBP1 and GGAT) were down-regulated, indicating this pathway is tightly regulated by ubiquitination during leaf senescence. To our knowledge, we present the first global data on ubiquitination during rice leaf senescence.

Indexed as

OryzaGene Expression Regulation, PlantPlant LeavesPlant ProteinsPlant SenescenceProteomePlant ProteinsProteomeCarbon fixation in photosynthetic organism pathwayLeaf senescencepsl86 mutantRiceUbiquitin/proteasome system

Identifiers

PMID35044566
OpenAlexW4206045397

What OpenQuestion holds

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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.