Evidence map›Paper›PMID 35441900›Full record

ArticleMolecular genetics and genomics : MGG2022

Genome-wide association analysis discovered new loci and candidate genes associated with low-phosphorus tolerance based on shoot mineral elements concentrations in soybean.

Qing Wang, Wenkai Du, Wenqing Yu, Weihao Zhang, Fang Huang, Hao Cheng, Deyue Yu

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular genetics and genomics : MGG, 2022. 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
2.3field-weighted citation impact, top 12% of its field
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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Qing Wang *National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Wenkai Du *National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Wenqing YuNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Weihao ZhangNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Fang HuangNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Hao ChengNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China. jenny21star@njau.edu.cn.
Deyue YuNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China. dyyu@njau.edu.cn.ORCID http://orcid.org/0000-0001-7263-2750
Nanjing Agricultural University · CN

Funding

EUCLEG Horizon 2020 of European Union 727312Ministry of Science and Technology 2017YFE0111000National Natural Science Foundation of China 31871649National Natural Science Foundation of China 32090065
6 · The paper itself

Abstract

Phosphorus (P) deficiency is one of the major limitations for soybean production. Moreover, it has been well reported P and other mineral elements function interdependently or antagonistically to control nutrients homeostasis in plants. Thus, it is urgently needed to understand the genetic mechanism of the accumulation of mineral elements in response to low-P stress. In this study, to identify single nucleotide polymorphisms (SNPs) and candidate genes controlling the accumulation of mineral elements suffering low-P stress in seedling stage of soybean plants, we measured concentrations of mineral elements, including P, Zn, Fe, Mn, Mg and Ca, in shoots of 211 soybean accessions under normal phosphorus (+P) and low phosphorus (-P) conditions in two hydroponic experiments. And genome-wide association study (GWAS) using high density NJAU 355K SoySNP array and concentrations of five of these mineral elements except P was performed. A total of 36 SNPs distributed on 13 chromosomes were identified to be significantly associated with low-P tolerance, and nine SNPs on chromosome 10 formed a SNP cluster. Meanwhile, the candidate gene GmFeB1 was found to serve as a negative regulator element involved in soybean P metabolism and the haplotype1 (Hap1) of GmFeB1 showed significantly higher shoot Fe concentration under -P condition than that of Hap2. In summary, we uncover 36 SNPs significantly associated with shoot mineral elements concentrations under different P conditions and a soybean low-P related gene GmFeB1, which will provide additional genetic information for soybean low-P tolerance and new gene resources for P-efficient soybean varieties breeding.

Indexed as

Genome-Wide Association StudyGlycine maxMineralsPhosphorusPlant BreedingPolymorphism, Single NucleotideMineralsPhosphorusGmFeB1GWASLow-P toleranceMineral elementsSNPsSoybean

Identifiers

PMID35441900
OpenAlexW4224253959

What OpenQuestion holds

Textmetadata
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.