Evidence map›Paper›PMID 35525915›Full record

ArticleBMC plant biology2022

Comparative transcriptomic analysis of the super hybrid rice Chaoyouqianhao under salt stress.

Guo Xia-Yu, Zhang Meng, Zhu Ming-Dong, Long Ji-Rui, Wei Zhong-Wei, Li Jian-Wu, Zhou Bin, Ai Zhi-Yong, Deng Hua-Feng

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.0field-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.

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 20 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

9 authors at 5 institutions in 1 country.

Guo Xia-Yu *College of Agronomy, Hunan Agricultural University, Changsha, 410125, P. R. China.
Zhang Meng *Hunan Key Laboratory of Plant Functional Genomics and Developmental Regulation, College of Biology, Hunan University, Changsha, 410082, P. R. China.
Zhu Ming-Dong *Key Laboratory of Indica Rice Genetics and Breeding in the Middle and Lower Reaches of Yangtze River Valley, Hunan Rice Research Institute, Changsha, 410125, P. R. China.
Long Ji-RuiHunan Hybrid Rice Research Center, Changsha, 410125, P. R. China.
Wei Zhong-WeiHunan Hybrid Rice Research Center, Changsha, 410125, P. R. China.
Li Jian-WuHunan Hybrid Rice Research Center, Changsha, 410125, P. R. China.
Zhou BinKey Laboratory of Indica Rice Genetics and Breeding in the Middle and Lower Reaches of Yangtze River Valley, Hunan Rice Research Institute, Changsha, 410125, P. R. China. zhoubin750517@163.com.
Ai Zhi-YongNational Innovation Center of Saline-Alkali Tolerant Rice in Sanya, Sanya, 572000, P. R. China. aizhiyongw@163.com.
Deng Hua-FengCollege of Agronomy, Hunan Agricultural University, Changsha, 410125, P. R. China. dhf@hhrrc.ac.cn.
China National Hybrid Rice R&D Central Hunan Hybrid Rice Reserch Center · CNHunan Rice Research Institute · CNHunan Academy of Agricultural Sciences · CNHunan Agricultural University · CNHunan University · CN

Funding

2020 Research Program of Sanya Yazhou Bay Science and Technology City SKJC-2020-02-006Hainan major science and technology projects ZDKJ202001
6 · The paper itself

Abstract

backgroundSoil salinization is a threat to food security. China is rich in saline land resources for potential and current utilization. The cultivation and promotion of salt-tolerant rice varieties can greatly improve the utilization of this saline land. The super hybrid rice Chaoyouqianhao (CY1000) is one of the most salt-tolerant rice varieties and is widely used, but the molecular mechanism underlying its salt tolerance is not clear.

resultsIn this study, the characteristics of CY1000 and its parents were evaluated in the field and laboratory. The results showed that aboveground parts of CY1000 were barely influenced by salt stress, while the roots were less affected than those of its parents. A comparative transcriptomic strategy was used to analyze the differences in the response to salt stress among the male and female parents of CY1000 at the seedling stage and the model indica rice 93-11. We found that the salt tolerance of CY1000 was mainly inherited from its male parent R900, and its female parent GX24S showed hardly any salt tolerance. To adapt to salt stress, CY1000 and R900 upregulated the expression of genes associated with soluble component synthesis and cell wall synthesis and other related genes and downregulated the expression of most genes related to growth material acquisition and consumption. In CY1000 and R900, the expression of genes encoding some novel key proteins in the ubiquitination pathway was significantly upregulated. After treatment with MG-132, the salt tolerance of CY1000 and R900 was significantly decreased and was almost the same as that of the wild type after salt stress treatment, indicating that ubiquitination played an important role in the salt tolerance mechanism of CY1000. At the same time, we found that some transcription factors were also involved in the salt stress response, with some transcription factors responding only in hybrid CY1000, suggesting that salt tolerance heterosis might be regulated by transcription factors in rice.

conclusionOur results revealed that the ubiquitination pathway is important for salt tolerance in rice, and several novel candidate genes were identified to reveal a novel salt tolerance regulation network. Additionally, our work will help clarify the mechanism of heterosis in rice. Further exploration of the molecular mechanism underlying the salt tolerance of CY1000 can provide a theoretical basis for breeding new salt-tolerant rice varieties.

Indexed as

OryzaGene Expression Regulation, PlantPlant BreedingSalt StressTranscription FactorsTranscriptomeTranscription FactorsCY1000Molecular mechanismSalt toleranceSuper hybrid riceUbiquitination

Identifiers

PMID35525915
PMCPMC9077912
OpenAlexW4229005678

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LicenceCC BY
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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.