Evidence map›Paper›PMID 41980223›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean.

Chao Ma, Hanyu Zhao, Haojie Feng, Xulun Dong, Lin Chen, Mingliang Yang, Runyi Chen, Chengjun Lei, Chunyan Liu, Qingshan Chen and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Functional Characterization ofPlants (Basel, Switzerland) · 2026
    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

12 authors.

Chao MaNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.ORCID https://orcid.org/0009-0000-8165-1478
Hanyu ZhaoNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.
Haojie FengSuihua Branch of Heilongjiang Academy of Agricultural Sciences, Suihua, P. R. China.
Xulun DongNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.
Lin ChenNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.
Mingliang YangNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.
Runyi ChenNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.
Chengjun LeiNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.
Chunyan LiuNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.
Qingshan ChenNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.
Dawei XinNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.
Jinhui WangNational Key Laboratory of Smart Farm Technology and System, College of Agriculture, Northeast Agricultural University, Harbin, P. R. China.ORCID https://orcid.org/0000-0002-0425-3510

Funding

National Natural Science Foundation of China 32201809National Natural Science Foundation of China 32272072National Natural Science Foundation of China 32372106National Natural Science Foundation of China 32572433
6 · The paper itself

Abstract

Symbiotic nitrogen fixation (SNF) serves as a vital process through which legumes acquire atmospheric nitrogen, directly influencing plant growth, yield, and soil fertility. Nitrogenase activity represents a key determinant of SNF efficiency, yet only a limited number of genes regulating this process have been identified in soybean nodules. In this study, a genome-wide association analysis uncovered a major quantitative trait locus (QTL) on chromosome 5, named NAR5 (Nitrogenase Activity Related Gene 5), which governs variation in nitrogenase activity among natural soybean populations under controlled greenhouse conditions. NAR5 encodes a subtilisin-like serine protease. Functional characterization demonstrated that NAR5 overexpression downregulates the transcription of senescence-associated genes in nodules, thereby sustaining nitrogenase function. Moreover, plants overexpressing NAR5 exhibited enhanced field performance, with increased yield and improved adaptation to low-nitrogen conditions. Population analysis revealed that NAR5 is subject to selection pressure during domestication, and that the elite haplotype NAR5

Indexed as

Glycine maxNitrogenaseNitrogen FixationPlant ProteinsQuantitative Trait LociGene Expression Regulation, PlantGenome-Wide Association StudyNitrogenRoot Nodules, PlantSymbiosisNitrogenNitrogenasePlant ProteinsGlycine maxNAR5natural variationnitrogenase activity

Identifiers

PMID41980223
PMCPMC13335570

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.