Evidence map›Paper›PMID 37177994›Full record

ArticleThe Plant cell2023

GmNAC039 and GmNAC018 activate the expression of cysteine protease genes to promote soybean nodule senescence.

Haixiang Yu, Aifang Xiao, Jiashan Wu, Haoxing Li, Yan Duan, Qingshan Chen, Hui Zhu, Yangrong Cao

Open access · greenAbstract read
In one paragraph

Article in The Plant cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
19.5field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
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  4. Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  13. CRISPR/Cas9-Based Gene Editing in Soybean.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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  18. A single-base mutation on the 5' UTR of BrATG5 confers the premature leaf senescence phenotype in Chinese cabbage.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Haixiang YuNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China.ORCID 0000-0002-2694-7337
Aifang XiaoNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China.ORCID 0000-0002-8960-3152
Jiashan WuNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China.ORCID 0009-0002-1370-3066
Haoxing LiNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China.ORCID 0000-0001-8617-3735
Yan DuanNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China.ORCID 0009-0007-2205-1182
Qingshan ChenKey Laboratory of Soybean Biology of Chinese Ministry of Education, Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, Northeast Agricultural University, Harbin, Heilongjiang 150038, China.ORCID 0000-0002-3714-9066
Hui ZhuNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China.ORCID 0009-0005-6817-9152
Yangrong CaoNational Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China.ORCID 0000-0002-2252-6551
Huazhong Agricultural University · CNNortheast Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root nodules are major sources of nitrogen for soybean (Glycine max (L.) Merr.) growth, development, production, and seed quality. Symbiotic nitrogen fixation is time-limited, as the root nodule senesces during the reproductive stage of plant development, specifically during seed development. Nodule senescence is characterized by the induction of senescence-related genes, such as papain-like cysteine proteases (CYPs), which ultimately leads to the degradation of both bacteroids and plant cells. However, how nodule senescence-related genes are activated in soybean is unknown. Here, we identified 2 paralogous NAC transcription factors, GmNAC039 and GmNAC018, as master regulators of nodule senescence. Overexpression of either gene induced soybean nodule senescence with increased cell death as detected using a TUNEL assay, whereas their knockout delayed senescence and increased nitrogenase activity. Transcriptome analysis and nCUT&Tag-qPCR assays revealed that GmNAC039 directly binds to the core motif CAC(A)A and activates the expression of 4 GmCYP genes (GmCYP35, GmCYP37, GmCYP39, and GmCYP45). Similar to GmNAC039 and GmNAC018, overexpression or knockout of GmCYP genes in nodules resulted in precocious or delayed senescence, respectively. These data provide essential insights into the regulatory mechanisms of nodule senescence, in which GmNAC039 and GmNAC018 directly activate the expression of GmCYP genes to promote nodule senescence.

Indexed as

Cysteine ProteasesRoot Nodules, PlantGene Expression Regulation, PlantGlycine maxNitrogen FixationPlant ProteinsSymbiosisCysteine ProteasesPlant Proteins

Identifiers

PMID37177994
PMCPMC10396383
OpenAlexW4376505510

What OpenQuestion holds

Textmetadata
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.