Evidence map›Paper›PMID 41259427›Full record

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

High-Resolution Genomic Resources for Trait Mapping and Precision Breeding for Adzuki Bean (Vigna angularis).

Liangliang Hu, Xiaolei Wang, Yazhou Zhang, Vanika Garg, Xingxing Yuan, Renfeng Xue, Hongmei Zhou, Yanhua Chen, Weili Hu, Rutwik Barmukh and 17 more

Erratum issuedAbstract 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. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Liangliang HuState Key Laboratory of Crop Gene Resources and Breeding/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xiaolei WangChifeng Academy of Agricultural and Animal Husbandry Sciences, Chifeng, 024031, China.
Yazhou ZhangSmartgenomics Technology Institute, Tianjin, 301799, China.
Vanika GargCentre for Crop and Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.
Xingxing YuanInstitute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Renfeng XueCrop Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China.
Hongmei ZhouBaoding Academy of Agricultural Sciences, Baoding, 071051, China.
Yanhua ChenVegetable Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China.
Weili HuNanyang Academy of Agricultural Sciences, Nanyang, 473083, China.
Rutwik BarmukhCentre for Crop and Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.
Rong CaoState Key Laboratory of Crop Gene Resources and Breeding/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Tianxiao ChenState Key Laboratory of Crop Gene Resources and Breeding/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Qiannan SongState Key Laboratory of Crop Gene Resources and Breeding/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Dan GaoSmartgenomics Technology Institute, Tianjin, 301799, China.
Gaoling LuoVegetable Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China.
Xu ZhuNanyang Academy of Agricultural Sciences, Nanyang, 473083, China.
Xin JingSmartgenomics Technology Institute, Tianjin, 301799, China.
Suhua WangState Key Laboratory of Crop Gene Resources and Breeding/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Caiju LiBaoding Academy of Agricultural Sciences, Baoding, 071051, China.
Yunshan WeiChifeng Academy of Agricultural and Animal Husbandry Sciences, Chifeng, 024031, China.
Weide GeCrop Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China.
Xin ChenInstitute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Lixia WangState Key Laboratory of Crop Gene Resources and Breeding/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Rajeev K VarshneyCentre for Crop and Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.
Chengzhi JiaoSmartgenomics Technology Institute, Tianjin, 301799, China.
Xuzhen ChengState Key Laboratory of Crop Gene Resources and Breeding/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Honglin ChenState Key Laboratory of Crop Gene Resources and Breeding/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.ORCID https://orcid.org/0000-0002-5737-9336

Funding

Agriculture Research System of China CARS-08-G04National Key R&D Program of China 2018YFD1000703National Key R&D Program of China 2021YFD1200105National Natural Science Foundation of China 31401442National Natural Science Foundation of China 332572308Technology Innovation Program of CAAS
6 · The paper itself

Abstract

Adzuki bean (Vigna angularis), a globally important legume crop, faces breeding bottlenecks due to limited genomic resources and an insufficient understanding of its genetic basis for key traits, which constrains the efficient utilization of its genetic diversity in breeding programs. To address this, a high-quality genome assembly is developed for the elite cultivar ZH20 and a comprehensive genetic variation map is constructed by resequencing of 546 diverse adzuki bean accessions. Genomic and phenotypic analyses of this diversity panel reveal distinct population structures and identify genomic variations underlying key agronomic traits, including seed coat color, size, shape, and flowering time, linked to adaptation and selection. This analysis pinpointed 251 loci significantly associated with eight key agronomic traits, highlighting promising candidate genes, such as ANKRD50 and NAC73 for seed morphology, ANR1 for flavonoid content, and NPF5.4 for flowering time. Furthermore, comparative genomics provides insights into domestication processes. These datasets are integrated to develop AdzukiBeanAtlas (https://www.cgris.net/AdzukiBeanAtlas), a versatile toolkit to facilitate breeding strategies. These resources provide a valuable foundation for understanding adzuki bean diversity, while AdzukiBeanAtlas serves as a user-friendly, cross-platform tool for molecular marker development, helping to accelerate future breeding programs.

Indexed as

Genome, PlantGenomicsPlant BreedingVignaChromosome MappingGenetic VariationPhenotypeQuantitative Trait Lociadzuki beandomesticationgenetic improvementgenomicsprecision breeding

Identifiers

PMID41259427
PMCPMC12822460

What Socratic 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 Socratic graph.