ArticleBMC plant biology2010
Complementary genetic and genomic approaches help characterize the linkage group I seed protein QTL in soybean.
Article in BMC plant biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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.
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.
Who cites it
49 citing papers in PubMed, 122 citations in OpenAlex.
- Soybean Protein Quality and Quantity: Genetic Control and Environmental Influences.Plant, cell & environment · 2026Review
- Decoding the genetic architecture of seed quality traits in mungbean through quantitative trait loci mapping.Frontiers in plant science · 2026Article
- Metabolic engineering of soybean for improving grain quality for animal consumption.Frontiers in plant science · 2026Review
- Across-environment seed protein stability and genetic architecture of seed components in soybean.Scientific reports · 2024Article
- Identification of Gene-Allele System Conferring Alkali-Tolerance at Seedling Stage in Northeast China Soybean Germplasm.International journal of molecular sciences · 2024Article
- Soybean genetics, genomics, and breeding for improving nutritional value and reducing antinutritional traits in food and feed.The plant genome · 2023Review
- Genomic analysis and characterization of new loci associated with seed protein and oil content in soybeans.The plant genome · 2023Article
- QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean.Plants (Basel, Switzerland) · 2023Article
- Genetic mapping and functional genomics of soybean seed protein.Molecular breeding : new strategies in plant improvement · 2023Article
- Quantitative Trait Loci (QTL) Analysis of Seed Protein and Oil Content in Wild Soybean (International journal of molecular sciences · 2023Article
- Introgression of a Danbaekkong high-protein allele across different genetic backgrounds in soybean.Frontiers in plant science · 2023Article
- Soybean Protein and Oil Variants Identified through a Forward Genetic Screen for Seed Composition.Plants (Basel, Switzerland) · 2022Article
- Soybean genetic resources contributing to sustainable protein production.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Review
- Ensuring Global Food Security by Improving Protein Content in Major Grain Legumes Using Breeding and 'Omics' Tools.International journal of molecular sciences · 2022Review
- Fine mapping and cloning of the major seed protein quantitative trait loci on soybean chromosome 20.The Plant journal : for cell and molecular biology · 2022Article
- Haplotype mapping uncovers unexplored variation in wild and domesticated soybean at the major protein locus cqProt-003.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genome-Wide Mapping of Cytosine Methylation Revealed Dynamic DNA Methylation Patterns Associated with Sporophyte Development ofInternational journal of molecular sciences · 2021Article
- Genetic mapping high protein content QTL from soybean 'Nanxiadou 25' and candidate gene analysis.BMC plant biology · 2021Article
- Dissecting the Genetic Architecture of Seed Protein and Oil Content in Soybean from the Yangtze and Huaihe River Valleys Using Multi-Locus Genome-Wide Association Studies.International journal of molecular sciences · 2019Article
- Development of sequence-based markers for seed protein content in pigeonpea.Molecular genetics and genomics : MGG · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe nutritional and economic value of many crops is effectively a function of seed protein and oil content. Insight into the genetic and molecular control mechanisms involved in the deposition of these constituents in the developing seed is needed to guide crop improvement. A quantitative trait locus (QTL) on Linkage Group I (LG I) of soybean (Glycine max (L.) Merrill) has a striking effect on seed protein content.
resultsA soybean near-isogenic line (NIL) pair contrasting in seed protein and differing in an introgressed genomic segment containing the LG I protein QTL was used as a resource to demarcate the QTL region and to study variation in transcript abundance in developing seed. The LG I QTL region was delineated to less than 8.4 Mbp of genomic sequence on chromosome 20. Using Affymetrix Soy GeneChip and high-throughput Illumina whole transcriptome sequencing platforms, 13 genes displaying significant seed transcript accumulation differences between NILs were identified that mapped to the 8.4 Mbp LG I protein QTL region.
conclusionsThis study identifies gene candidates at the LG I protein QTL for potential involvement in the regulation of protein content in the soybean seed. The results demonstrate the power of complementary approaches to characterize contrasting NILs and provide genome-wide transcriptome insight towards understanding seed biology and the soybean genome.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.