Evidence map›Paper›PMID 42633702›Full record

ArticlePlant biotechnology journal2026

Single-Cell Transcriptomics Reveals the FA9-VAP Module Regulating Fatty Acid Accumulation in Soybean Seeds.

Hui Li, Tianshu Li, Xiaorui Xu, Jinhang Cui, Xin Chen, Jingyi Huang, Jia Song, Cui Mu, Xinyu Hong, Chunyan Liu and 5 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Hui LiNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0003-2967-0094
Tianshu LiNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.
Xiaorui XuNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.
Jinhang CuiNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.
Xin ChenNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.
Jingyi HuangNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.
Jia SongNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.
Cui MuNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.
Xinyu HongNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.
Chunyan LiuNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0009-0003-4209-9889
Ning WangSuileng County Agricultural Technology Extension Center, Suihua, Heilongjiang, China.
Xue HanNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0002-0873-6456
Sui WangNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0001-9193-4738
Qingshan ChenNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0002-3714-9066
Zhaoming QiNational Key Laboratory of Smart Farm Technology and System, National Research Center of Soybean Engineering and Technology, Northeast Agricultural University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0002-0657-9127

Funding

Heilongjiang Provincial Key Research and Development Program 2025ZX03A01Heilongjiang Provincial Key Research and Development Program SC2026ZXA0082the China Agriculture Research System CARS-04-PS15the Hainan Seed Industry Laboratory and China National Seed Group B23YQ1503the National Natural Science Foundation of China 32472108the Natural Science Foundation of Heilongjiang Province of China ZL2024C007
6 · The paper itself

Abstract

As a major commercial legume crop, soybean ranks among the world's most significant sources of edible oil and plant protein. We previously identified a SEIPIN homologue (FA9) at the fatty acid 9 locus that promotes fatty acid accumulation in soybean. To examine the detailed molecular mechanisms by which FA9 regulates lipid metabolism, we performed single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (stRNA-seq) of wild-type and FA9-knockout soybean seeds at the late maturity stage. scRNA-seq analysis identified 26 transcriptional clusters and revealed the spatial distribution of FA9 in seeds, in which the deletion of FA9 altered lipid and storage-related transcriptional programmes. On the basis of single-cell sequencing and immunoprecipitation-mass spectrometry (IP-MS), the vesicle-associated membrane protein (VAMP)-associated protein (VAP) was identified, and subsequent experiments demonstrated that FA9 interacts specifically with VAP via its N-terminal FFAT motif at the endoplasmic reticulum. Seeds of vap knockout (vap-KO1 and vap-KO2) and fa9 vap double knockout (fa9 vap-KO) lines, created by CRISPR-Cas9 gene editing, had higher protein contents and lower total fatty acid contents than wild-type soybean, whereas overexpression of FA9 and VAP enhanced lipid droplet formation in Nicotiana benthamiana. These findings reveal that FA9 interacts with VAP to promote lipid droplet biogenesis and lipid transport, thereby driving fatty acid accumulation in soybean seeds. This research provides new insight into the molecular mechanisms that regulate seed oil synthesis and identifies potential target genes for improvement of soybean oil quality through molecular breeding.

Indexed as

FA9scRNA‐seqseed fatty acid contentseed protein contentsoybeanstRNA‐seq

Identifiers

PMID42633702
PMCPMC13500105

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.