Evidence map›Paper›PMID 35187586›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2022

Dissection of the practical soybean breeding pipeline by developing ZDX1, a high-throughput functional array.

Rujian Sun, Bincheng Sun, Yu Tian, Shanshan Su, Yong Zhang, Wanhai Zhang, Jingshun Wang, Ping Yu, Bingfu Guo, Huihui Li and 20 more

Open access · hybridAbstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.8field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Molecular breeding for improvement of photothermal adaptability in soybean.Molecular breeding : new strategies in plant improvement · 2023
    Article
  10. The elite variations in germplasms for soybean breeding.Molecular breeding : new strategies in plant improvement · 2023
    Article
  11. Article
  12. Soybean genetic resources contributing to sustainable protein production.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
  13. 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

30 authors at 7 institutions in 2 countries.

Rujian SunCollege of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China.
Bincheng SunHulunbuir Institute of Agriculture and Animal Husbandry, Hulunbuir, 021000, People's Republic of China.
Yu TianNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Shanshan SuBeijing Compass Biotechnology Co, Ltd, Beijing, 102200, People's Republic of China.
Yong ZhangKeshan Branch of Heilongjiang Academy of Agricultural Sciences, Qiqihar, 161600, People's Republic of China.
Wanhai ZhangHulunbuir Institute of Agriculture and Animal Husbandry, Hulunbuir, 021000, People's Republic of China.
Jingshun WangHulunbuir Institute of Agriculture and Animal Husbandry, Hulunbuir, 021000, People's Republic of China.
Ping YuHulunbuir Institute of Agriculture and Animal Husbandry, Hulunbuir, 021000, People's Republic of China.
Bingfu GuoNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Huihui LiNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Yanfei LiNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Huawei GaoNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Yongzhe GuNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Lili YuNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Yansong MaNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Erhu SuInner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010000, People's Republic of China.
Qiang LiInner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010000, People's Republic of China.
Xingguo HuHulunbuir Institute of Agriculture and Animal Husbandry, Hulunbuir, 021000, People's Republic of China.
Qi ZhangHulunbuir Institute of Agriculture and Animal Husbandry, Hulunbuir, 021000, People's Republic of China.
Rongqi GuoHulunbuir Institute of Agriculture and Animal Husbandry, Hulunbuir, 021000, People's Republic of China.
Shen ChaiHulunbuir Institute of Agriculture and Animal Husbandry, Hulunbuir, 021000, People's Republic of China.
Lei FengHulunbuir Institute of Agriculture and Animal Husbandry, Hulunbuir, 021000, People's Republic of China.
Jun WangNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Huilong HongNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Jiangyuan XuNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Xindong YaoDepartment of Crop Sciences, University of Natural Resources and Life Sciences Vienna (BOKU), 3430, Tulln, Austria.
Jing WenNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, People's Republic of China.
Jiqiang LiuBeijing Compass Biotechnology Co, Ltd, Beijing, 102200, People's Republic of China.
Yinghui LiCollege of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China. liyinghui@caas.cn.
Lijuan QiuCollege of Agriculture, Northeast Agricultural University, Harbin, 150030, People's Republic of China. qiulijuan@caas.cn.ORCID http://orcid.org/0000-0003-0112-5713
Chinese Academy of Agricultural Sciences · CNHulunbuir University · CNNortheast Agricultural University · CNBeijing VDJBio (China) · CNInner Mongolia Academy of Agricultural & Animal Husbandry Sciences · CNBOKU University · ATHeilongjiang Provincial Academy of Agricultural Sciences · CN

Funding

Agricultural Science and Technology Innovation Program (ASTIP) of Chinese Academy of Agricultural Sciences CAAS-ZDRW202003-1National Key R&D Program 2019YFE0105900National Key R&D Program of China 2017YFD0102002National Key R&D Program of China 2020YFE0202300Natural Science Foundation of Inner Mongolia 2020MS03004Project of Sino-Uruguayan Joint Laboratory 2018YFE0116900Youth Innovation Fund Project of Inner Mongolia Academy of Agriculture & Animal Husbandry Sciences 2020QNJJNO5
6 · The paper itself

Abstract

key messageWe developed the ZDX1 high-throughput functional soybean array for high accuracy evaluation and selection of both parents and progeny, which can greatly accelerate soybean breeding. Microarray technology facilitates rapid, accurate, and economical genotyping. Here, using resequencing data from 2214 representative soybean accessions, we developed the high-throughput functional array ZDX1, containing 158,959 SNPs, covering 90.92% of soybean genes and sites related to important traits. By application of the array, a total of 817 accessions were genotyped, including three subpopulations of candidate parental lines, parental lines and their progeny from practical breeding. The fixed SNPs were identified in progeny, indicating artificial selection during the breeding process. By identifying functional sites of target traits, novel soybean cyst nematode-resistant progeny and maturity-related novel sources were identified by allele combinations, demonstrating that functional sites provide an efficient method for the rapid screening of desirable traits or gene sources. Notably, we found that the breeding index (BI) was a good indicator for progeny selection. Superior progeny were derived from the combination of distantly related parents, with at least one parent having a higher BI. Furthermore, new combinations based on good performance were proposed for further breeding after excluding redundant and closely related parents. Genomic best linear unbiased prediction (GBLUP) analysis was the best analysis method and achieved the highest accuracy in predicting four traits when comparing SNPs in genic regions rather than whole genomic or intergenic SNPs. The prediction accuracy was improved by 32.1% by using progeny to expand the training population. Collectively, a versatile assay demonstrated that the functional ZDX1 array provided efficient information for the design and optimization of a breeding pipeline for accelerated soybean breeding.

Indexed as

Glycine maxPlant BreedingAllelesGenome-Wide Association StudyGenotypePolymorphism, Single Nucleotide

Identifiers

PMID35187586
PMCPMC9033737
OpenAlexW4213249769

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.