Evidence map›Paper›PMID 42432247›Full record

ArticleNature genetics2026

Graph-based pan-genome reveals structural variations associated with agronomic traits in mung bean.

Honglin Chen, Longsheng Xing, Chaonan Guan, Yang Liu, Tianxiao Chen, Rong Cao, Qiannan Song, Rutwik Barmukh, Reyazul Rouf Mir, Liangliang Hu and 13 more

Abstract read
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In one paragraph

Article in Nature genetics, 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
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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

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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

23 authors.

Honglin Chen *Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China. chenhonglin@caas.cn.ORCID http://orcid.org/0000-0002-5737-9336
Longsheng Xing *College of Life Sciences, Institute of Life Science and Green Development, Hebei University, Baoding, China.ORCID http://orcid.org/0000-0002-4022-5242
Chaonan Guan *Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China.
Yang Liu *Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China.
Tianxiao ChenInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China.
Rong CaoInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China.
Qiannan SongInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China.
Rutwik BarmukhCentre for Crop and Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia.
Reyazul Rouf MirCentre for Crop and Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia.
Liangliang HuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China.
Bin ZhouCrop Research Institute of Anhui Academy of Agricultural Sciences, Hefei, China.
Gaoling LuoInstitute of Vegetable Research, Guangxi Academy of Agricultural Sciences, Nanning, China.
Dongxu XuZhangjiakou Academy of Agricultural Sciences, Zhangjiakou, China.
Fengxiang YinBaicheng Academy of Agricultural Sciences, Baicheng, China.
Xingxing YuanInstitute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Suhua WangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China.
Xin ChenInstitute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Lixia WangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China.
Chengzhi JiaoState Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences, Weifang, China. chengzhi.jiao@pku-iaas.edu.cn.ORCID http://orcid.org/0000-0002-7037-5217
Huilong DuCollege of Life Sciences, Institute of Life Science and Green Development, Hebei University, Baoding, China. huilongdu@hbu.edu.cn.ORCID http://orcid.org/0000-0001-7755-6611
Meiliang ZhouInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China. zhoumeiliang@caas.cn.ORCID http://orcid.org/0000-0001-5175-3684
Rajeev K VarshneyCentre for Crop and Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, Western Australia, Australia. Rajeev.Varshney@murdoch.edu.au.ORCID http://orcid.org/0000-0002-4562-9131
Xuzhen ChengInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences/China-Uruguay Joint Laboratory on Soybean Research and Innovation, Beijing, China. chengxuzhen@caas.cn.ORCID http://orcid.org/0009-0004-3455-9942

Funding

Grains Research and Development Corporation (Grains Research & Development Corporation) UMU2403-009RTXGrains Research and Development Corporation (Grains Research & Development Corporation) UOQ2403-012RTXNational Natural Science Foundation of China (National Science Foundation of China) 31401442National Natural Science Foundation of China (National Science Foundation of China) 32241041National Natural Science Foundation of China (National Science Foundation of China) 332572308
6 · The paper itself

Abstract

Mung bean (Vigna radiata) is a globally important legume crop valued for its short growing cycle, nitrogen-fixing capacity and high nutritional value, particularly in developing countries. Here we report a comprehensive graph-based pan-genome assembled from 11 genetically diverse global accessions. The framework captures 75,268 gene families (50.86% core, 35.19% dispensable and 13.95% private) and 66,862 nonredundant structural variants. Integrating these structural variants and single nucleotide polymorphisms, genome-wide association studies across five environments identified candidate genes for 20 agronomic traits, underscoring the pivotal roles of these variants in driving mung bean domestication and improvement. Mechanistically, we demonstrate that a 68-bp promoter insertion in VrTIFY6B and a 136-bp promoter deletion in VrPGIP1 regulate flavonoid content and confer bruchid resistance, respectively. These genomic resources and actionable functional variants provide a powerful toolkit to accelerate mung bean improvement through marker-assisted breeding, genomic selection and genome editing to address global food security.

Indexed as

Genome, PlantVignaGenetic VariationGenome-Wide Association StudyPhenotypePolymorphism, Single NucleotidePromoter Regions, GeneticQuantitative Trait Loci

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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.