Evidence map›Paper›PMID 30813455›Full record

ArticleInternational journal of molecular sciences2019

Genome-Wide Detection of Major and Epistatic Effect QTLs for Seed Protein and Oil Content in Soybean Under Multiple Environments Using High-Density Bin Map.

Benjamin Karikari, Shuguang Li, Javaid Akhter Bhat, Yongce Cao, Jiejie Kong, Jiayin Yang, Junyi Gai, Tuanjie Zhao

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
13.7field-weighted citation impact, top 1% 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

20 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Harnessing Genomics for BreedingInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. Article
  8. Understanding the Molecular Regulatory Networks of Seed Size in Soybean.International journal of molecular sciences · 2024
    Review
  9. Genetic analysis and exploration of major effect QTLs underlying oil content in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  10. Article
  11. Article
  12. NAC Transcription FactorInternational journal of molecular sciences · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Article
  20. Impacts of genomic research on soybean improvement in East Asia.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
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

8 authors at 1 institution in 1 country.

Benjamin KarikariKey Laboratory of Biology and Genetics and Breeding for Soybean, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Soybean Research Institution, National Center for Soybean Improvement, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China. benkarikari1@gmail.com.
Shuguang LiKey Laboratory of Biology and Genetics and Breeding for Soybean, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Soybean Research Institution, National Center for Soybean Improvement, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China. dawn0524@126.com.
Javaid Akhter BhatKey Laboratory of Biology and Genetics and Breeding for Soybean, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Soybean Research Institution, National Center for Soybean Improvement, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China. javid.akhter69@gmail.com.
Yongce CaoKey Laboratory of Biology and Genetics and Breeding for Soybean, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Soybean Research Institution, National Center for Soybean Improvement, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China. ahszcyc@163.com.
Jiejie KongKey Laboratory of Biology and Genetics and Breeding for Soybean, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Soybean Research Institution, National Center for Soybean Improvement, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China. 2012094@gmail.com.
Jiayin YangHuaiyin Institute of Agricultural Sciences of Xuhuai Region in Jiangsu, Huai'an 223001, China. hynksyjy@163.com.
Junyi GaiKey Laboratory of Biology and Genetics and Breeding for Soybean, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Soybean Research Institution, National Center for Soybean Improvement, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China. sri@njau.edu.cn.
Tuanjie ZhaoKey Laboratory of Biology and Genetics and Breeding for Soybean, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Soybean Research Institution, National Center for Soybean Improvement, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China. tjzhao@njau.edu.cn.
Nanjing Agricultural University · CN

Funding

National Natural Science Foundation of China 31571695, 31872847
6 · The paper itself

Abstract

Seed protein and oil content are the two important traits determining the quality and value of soybean. Development of improved cultivars requires detailed understanding of the genetic basis underlying the trait of interest. However, it is prerequisite to have a high-density linkage map for precisely mapping genomic regions, and therefore the present study used high-density genetic map containing 2267 recombination bin markers distributed on 20 chromosomes and spanned 2453.79 cM with an average distance of 1.08 cM between markers using restriction-site-associated DNA sequencing (RAD-seq) approach. A recombinant inbred line (RIL) population of 104 lines derived from a cross between Linhefenqingdou and Meng 8206 cultivars was evaluated in six different environments to identify main- and epistatic-effect quantitative trait loci (QTLs)as well as their interaction with environments. A total of 44 main-effect QTLs for protein and oil content were found to be distributed on 17 chromosomes, and 15 novel QTL were identified for the first time. Out of these QTLs, four were major and stable QTLs, viz., qPro-7-1, qOil-8-3, qOil-10-2 and qOil-10-4, detected in at least two environments plus combined environment with

Indexed as

EnvironmentEpistasis, GeneticGenome, PlantChromosome MappingChromosomes, PlantGenetic Association StudiesGlycine maxPhenotypePlant OilsPlant ProteinsQuantitative Trait LociSeedsPlant OilsPlant Proteinsepistasishigh-density bin mapmain-effect QTLoil contentprotein contentQTL mappingRAD-seqsoybean

Identifiers

PMID30813455
PMCPMC6412760
OpenAlexW2917564245

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.