Evidence map›Paper›PMID 39731010›Full record

ArticleBMC plant biology2024

Genome-wide association study of sucrose content in vegetable soybean.

Pengwei Wang, Dandan Liu, Danqing Ni, Shu Gao, Yanpeng Hao, Chenchen Xue, Xin Chen, Jinming Zhao, Han Xing, Na Guo

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

10 authors.

Pengwei WangKey Laboratory of Biology and Genetics Improvement of Soybean, Zhongshan Biological Breeding Laboratory (ZSBBL), State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Ministry of Agriculture, National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, China.
Dandan LiuKey Laboratory of Biology and Genetics Improvement of Soybean, Zhongshan Biological Breeding Laboratory (ZSBBL), State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Ministry of Agriculture, National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, China.
Danqing NiKey Laboratory of Biology and Genetics Improvement of Soybean, Zhongshan Biological Breeding Laboratory (ZSBBL), State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Ministry of Agriculture, National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, China.
Shu GaoKey Laboratory of Biology and Genetics Improvement of Soybean, Zhongshan Biological Breeding Laboratory (ZSBBL), State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Ministry of Agriculture, National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, China.
Yanpeng HaoKey Laboratory of Biology and Genetics Improvement of Soybean, Zhongshan Biological Breeding Laboratory (ZSBBL), State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Ministry of Agriculture, National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, China.
Chenchen XueInstitute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210095, China.
Xin ChenInstitute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210095, China.
Jinming ZhaoKey Laboratory of Biology and Genetics Improvement of Soybean, Zhongshan Biological Breeding Laboratory (ZSBBL), State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Ministry of Agriculture, National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, China. jmz3000@126.com.
Han XingKey Laboratory of Biology and Genetics Improvement of Soybean, Zhongshan Biological Breeding Laboratory (ZSBBL), State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Ministry of Agriculture, National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, China. hanx@njau.edu.cn.
Na GuoKey Laboratory of Biology and Genetics Improvement of Soybean, Zhongshan Biological Breeding Laboratory (ZSBBL), State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Ministry of Agriculture, National Innovation Platform for Soybean Breeding and Industry-Education Integration, Nanjing Agricultural University, Nanjing, 210095, China. guona@njau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVegetable soybean is an important legume vegetable. High sucrose content is a significant quality characteristic of vegetable soybean that influences consumers' taste. However, the genetic basis of sucrose content in vegetable soybean is currently unclear.

resultsIn this study, the genome-wide association study (GWAS) of sucrose content in vegetable soybean was performed using Chinese soybean mini-core collection. The results showed a wide genetic variation for the sucrose content in the mini-core collection. The sucrose content of genotypes from HHR (Huanghuai region) and SR (Southern region) was higher than that of genotypes from NER (Northeast region) and NR (Northern region). Furthermore, 82,187 high quality SNPs (Single nucleotide polymorphism) were used for GWAS of sucrose content. Based on SNPs detected in multiple environments, the chromosome 8 19,496,314-19,698,413 bp interval was identified as the candidate interval. And Glyma.08g234100 was most likely to affect the sucrose content of vegetable soybean seeds.

conclusionsThis study has created new details to be used for breeding for high sucrose content in vegetable soybean.

Indexed as

Genome-Wide Association StudyGlycine maxPolymorphism, Single NucleotideSucroseGenome, PlantGenotypeVegetablesSucroseGWASSucrose contentTaste qualityVegetable soybean

Identifiers

PMID39731010
PMCPMC11673911

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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.