Evidence map›Paper›PMID 35321646›Full record

ArticleBMC plant biology2022

Integration of transcriptomic and proteomic analyses reveals several levels of metabolic regulation in the excess starch and early senescent leaf mutant lses1 in rice.

Zhiming Chen, Yongsheng Wang, Rongyu Huang, Zesen Zhang, Jinpeng Huang, Feng Yu, Yaohai Lin, Yuchun Guo, Kangjing Liang, Yuanchang Zhou and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

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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

5 citing papers in PubMed, 15 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Zhiming Chen *Key Laboratory of Ministry of Education for Genetic Improvement and Comprehensive Utilization of Crops, Fujian Provincial Key Laboratory of Crop Breeding by Design, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
Yongsheng Wang *Postdoctoral Station of Biology, School of Life Sciences, Hebei University, Baoding, 071000, Hebei, China.
Rongyu HuangSchool of Life Sciences, Xiamen University, Xiamen, 361005, Fujian, China.
Zesen ZhangSchool of Life Sciences, Xiamen University, Xiamen, 361005, Fujian, China.
Jinpeng HuangSchool of Life Sciences, Xiamen University, Xiamen, 361005, Fujian, China.
Feng YuKey Laboratory of Ministry of Education for Genetic Improvement and Comprehensive Utilization of Crops, Fujian Provincial Key Laboratory of Crop Breeding by Design, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
Yaohai LinCollege of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
Yuchun GuoKey Laboratory of Ministry of Education for Genetic Improvement and Comprehensive Utilization of Crops, Fujian Provincial Key Laboratory of Crop Breeding by Design, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
Kangjing LiangKey Laboratory of Ministry of Education for Genetic Improvement and Comprehensive Utilization of Crops, Fujian Provincial Key Laboratory of Crop Breeding by Design, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China.
Yuanchang ZhouKey Laboratory of Ministry of Education for Genetic Improvement and Comprehensive Utilization of Crops, Fujian Provincial Key Laboratory of Crop Breeding by Design, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China. zwy_2002@163.com.
Fangyu ChenKey Laboratory of Ministry of Education for Genetic Improvement and Comprehensive Utilization of Crops, Fujian Provincial Key Laboratory of Crop Breeding by Design, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian, China. cfy8488@aliyun.com.
Fujian Agriculture and Forestry University · CNXiamen University · CNHebei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe normal metabolism of transitory starch in leaves plays an important role in ensuring photosynthesis, delaying senescence and maintaining high yield in crops. OsCKI1 (casein kinase I1) plays crucial regulatory roles in multiple important physiological processes, including root development, hormonal signaling and low temperature-treatment adaptive growth in rice; however, its potential role in regulating temporary starch metabolism or premature leaf senescence remains unclear. To reveal the molecular regulatory mechanism of OsCKI1 in rice leaves, physiological, transcriptomic and proteomic analyses of leaves of osckI1 allele mutant lses1 (leaf starch excess and senescence 1) and its wild-type varieties (WT) were performed.

resultsPhenotypic identification and physiological measurements showed that the lses1 mutant exhibited starch excess in the leaves and an obvious leaf tip withering phenotype as well as high ROS and MDA contents, low chlorophyll content and protective enzyme activities compared to WT. The correlation analyses between protein and mRNA abundance are weak or limited. However, the changes of several important genes related to carbohydrate metabolism and apoptosis at the mRNA and protein levels were consistent. The protein-protein interaction (PPI) network might play accessory roles in promoting premature senescence of lses1 leaves. Comprehensive transcriptomic and proteomic analysis indicated that multiple key genes/proteins related to starch and sugar metabolism, apoptosis and ABA signaling exhibited significant differential expression. Abnormal increase in temporary starch was highly correlated with the expression of starch biosynthesis-related genes, which might be the main factor that causes premature leaf senescence and changes in multiple metabolic levels in leaves of lses1. In addition, four proteins associated with ABA accumulation and signaling, and three CKI potential target proteins related to starch biosynthesis were up-regulated in the lses1 mutant, suggesting that LSES1 may affect temporary starch accumulation and premature leaf senescence through phosphorylation crosstalk ABA signaling and starch anabolic pathways.

conclusionThe current study established the high correlation between the changes in physiological characteristics and mRNA and protein expression profiles in lses1 leaves, and emphasized the positive effect of excessive starch on accelerating premature leaf senescence. The expression patterns of genes/proteins related to starch biosynthesis and ABA signaling were analyzed via transcriptomes and proteomes, which provided a novel direction and research basis for the subsequent exploration of the regulation mechanism of temporary starch and apoptosis via LSES1/OsCKI1 in rice.

Indexed as

OryzaGene Expression Regulation, PlantProteomicsStarchTranscriptomeStarchLeaf senescencelses1ProteomeRice (Oryza sativa L.)TranscriptomeTransitory starch

Identifiers

PMID35321646
PMCPMC8941791
OpenAlexW4226364003

What OpenQuestion holds

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LicenceCC BY
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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.