Evidence map›Paper›PMID 40652552›Full record

ArticlePlant biotechnology journal2025

Epigenetic regulation modulates seasonal temperature-dependent growth of soybean in southern China.

Yuan Fang, Yapeng Han, Yijie Fang, Jin Sun, Chuxin Lin, Birra Bukhari, Dong Zhou, Bin Liu, Changkui Guo, Yingxiang Wang

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Epigenomics and Non-Coding RNAs in Soybean Adaptation to Abiotic Stresses.International journal of molecular sciences · 2025
    Review
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

10 authors.

Yuan Fang *Guangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory for the Development Biology and Environmental Adaptation of Agricultural Organisms, South China Institute for Soybean Innovation Research, College of Life Sciences, South China Agricultural University, Guangzhou, China.
Yapeng Han *Guangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory for the Development Biology and Environmental Adaptation of Agricultural Organisms, South China Institute for Soybean Innovation Research, College of Life Sciences, South China Agricultural University, Guangzhou, China.
Yijie FangGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory for the Development Biology and Environmental Adaptation of Agricultural Organisms, South China Institute for Soybean Innovation Research, College of Life Sciences, South China Agricultural University, Guangzhou, China.
Jin SunGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory for the Development Biology and Environmental Adaptation of Agricultural Organisms, South China Institute for Soybean Innovation Research, College of Life Sciences, South China Agricultural University, Guangzhou, China.
Chuxin LinGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory for the Development Biology and Environmental Adaptation of Agricultural Organisms, South China Institute for Soybean Innovation Research, College of Life Sciences, South China Agricultural University, Guangzhou, China.
Birra BukhariGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory for the Development Biology and Environmental Adaptation of Agricultural Organisms, South China Institute for Soybean Innovation Research, College of Life Sciences, South China Agricultural University, Guangzhou, China.
Dong ZhouGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory for the Development Biology and Environmental Adaptation of Agricultural Organisms, South China Institute for Soybean Innovation Research, College of Life Sciences, South China Agricultural University, Guangzhou, China.
Bin LiuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-5836-2333
Changkui GuoGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory for the Development Biology and Environmental Adaptation of Agricultural Organisms, South China Institute for Soybean Innovation Research, College of Life Sciences, South China Agricultural University, Guangzhou, China.ORCID https://orcid.org/0000-0001-7084-6173
Yingxiang WangGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory for the Development Biology and Environmental Adaptation of Agricultural Organisms, South China Institute for Soybean Innovation Research, College of Life Sciences, South China Agricultural University, Guangzhou, China.

Funding

Double first-class discipline promotion project, South China Agricultural University (SCAU), China 2023B10564004Guangdong Provincial Pearl River Talents Program 2021ZT09N333Program for Guangdong Laboratory for Lingnan Modern Agriculture NG2022002
6 · The paper itself

Abstract

Epigenetic variations, including DNA methylation and small RNAs, are crucial for plant stress adaptation. However, their association with soybean adaptation to natural environments remains unclear. Through multi-omics analyses, we investigate soybeans from distinct geographical regions (Northern China: HH43, Southern China: HX3, and Wm82) and grown under contrasting South Winter (SW) and South Summer (SS) conditions in China. Transcriptomic clustering classifies soybeans into two distinct groups based on SW and SS. Methylome demonstrates increased CHH methylation in SW, accompanied by HDA6 up-regulation, leading to chromatin compaction and transcriptional repression. Substantial Copia retrotransposons and DNA transposons are also repressed in SW. Interestingly, DNA methylation predominantly influences down-regulated/up-regulated COR genes for HH43 and HX3 through increased/decreased DNA methylation, respectively. In contrast, lower CG/CHG methylation in SW coincided with reduced DNA methyltransferases expression. Notably, non-CG methylation contributes more to DSR in adaptive traits under selective pressure. Such as the E2 domesticated gene exhibits lower CHG methylation within the gene body region and down-regulated expression in SW for HH43. Furthermore, 22-nt siRNA are substantially degraded in SW, and GmDCL2a/2b mutation results in increased plant sensitivity to low temperatures. These highlight the dynamic interplay between DNA methylation, small RNAs and gene expression in soybean adaptation to natural environments.

Indexed as

Epigenesis, GeneticGlycine maxChinaDNA MethylationGene Expression Regulation, PlantSeasonsTemperatureDNA methylationepigenetic regulationsmall RNAssoybean

Identifiers

PMID40652552
PMCPMC12483973

What OpenQuestion holds

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LicenceCC BY-NC
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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.