Evidence map›Paper›PMID 41984514›Full record

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

Haplotype-Resolved 3D Genomic Landscapes and Their Impacts on Agronomic Traits in Grapevine.

Yanling Peng, Lianzhu Zhou, Xinyue Fang, Ruoyan Zhao, Qi Xu, Mengrui Du, Ting Hou, Guizhou Huang, Yingchun Zhang, Sheng Yan and 9 more

Abstract read
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 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. Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026
    Review
  3. Haplotype-Resolved 3D Genomic Landscapes and Their Impacts on Agronomic Traits in Grapevine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 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

19 authors.

Yanling PengState Key Laboratory For Crop Stress Resistance and High-Efficiency Production, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, China.
Lianzhu ZhouState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Xinyue FangState Key Laboratory For Crop Stress Resistance and High-Efficiency Production, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, China.
Ruoyan ZhaoState Key Laboratory For Crop Stress Resistance and High-Efficiency Production, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, China.
Qi XuState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Mengrui DuState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Ting HouState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Guizhou HuangState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yingchun ZhangState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Sheng YanState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Ruo YangState Key Laboratory For Crop Stress Resistance and High-Efficiency Production, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, China.
Zhongxin JinState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yang DongState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yanshuai XuState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Hua XiaoState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Xiaodong XuState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yi LiaoCollege of Horticulture, South China Agricultural University, Guangzhou, China.
Xiping WangState Key Laboratory For Crop Stress Resistance and High-Efficiency Production, College of Horticulture, Northwest A&F University, Yangling, Shaanxi, China.
Yongfeng ZhouState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0003-0780-2973

Funding

National Key Research and Development Program of China 2023YFD2200700National Natural Science Foundation of China 32372662Ningxia Key Research and Development Program 2025BBF02019Science Fund Program for Excellent Young ScholarsThe Project of National Key Laboratory for Tropical Crop Breeding NKLTCB-RC202501
6 · The paper itself

Abstract

In clonally propagated crops, extensive divergence between haplotypes complicates transcriptional regulation. However, the contribution of the three dimensional (3D) genome organization to these allelic differences and agronomic traits remains unclear. Here, we generated haplotype-resolved 3D genome landscapes for grapevine cultivars with contrasting berry colors and seed traits, integrating them with genomic, epigenomic, and transcriptomic profiles. We found profound 3D architectural divergence between haplotypes, spanning from large-scale A/B compartments down to a level of topologically associated domain (TAD) boundary variation (18.53%∼23.01%) that approached inter-cultivar differences (18.74~21.62%) (p > 0.05). A key mechanism driving these effects involves large-scale, haplotype-specific transitions between distinct TAD states (Active, Inactive, Heterochromatic), which asymmetrically regulate transcription and alter local DNA methylation patterns. Importantly, these structural rearrangements, including TAD boundary shifts, are strongly associated with underlying structural variants (SVs). Critically, this regulatory cascade impacts key agronomic loci, genes controlling berry color (e.g. VvMYBA) and seedlessness determination (e.g. VvSUS2) were positioned at cultivar-specific TAD boundaries, exhibiting presence/absence variations and differential expression patterns. Our findings support a mechanistic model wherein phased 3D chromatin architecture and heterozygous SVs are strongly associated with the regulation of key agronomic traits, paving the way for accelerating the genetic improvement of clonal crops.

Indexed as

Genome, PlantHaplotypesVitisDNA MethylationFruitGene Expression Regulation, PlantGenomics3D genomesberry colorclonal cropsgrapevinehaplotype‐resolvedseedlessnessstructural variations

Identifiers

PMID41984514
PMCPMC13334877

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.