PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 26, 20260 citations

High-resolution quantitative trait loci mapping and pyramiding effects of candidate genes for plant height in soybean.

View Full Paper
DSDan ShaYZYiwei ZhangYGYongzhe Gu

Key Points

  • This research aims to identify major genes and molecular markers that regulate plant height in soybean.
  • Established a recombinant inbred line (RIL) population from contrasting soybean cultivars
  • Conducted QTL mapping for plant height across five different environments
  • Identified candidate genes based on genetic annotations and expression analysis
  • Performed haplotype analyses to assess allelic variation effects on plant height
  • Identified 13 QTL associated with plant height on seven chromosomes
  • Detected four stable QTL consistently across environments
  • Predicted TCP13, Dt2, and Dt1 as strong candidate genes for plant height regulation
  • Demonstrated distinct phenotypic effects from different haplotype combinations of the candidate genes

Abstract

Plant height is a crucial agronomic trait that significantly influences plant architecture and yield in soybean (Glycine max (L.) Merr.). Identifying major genes regulating plant height and developing closely linked molecular markers are crucial for breeding soybean cultivars with ideal architecture. In this study, a recombinant inbred line (RIL) population (F2:7-8) developed from a cross between two soybean cultivars with contrasting plant heights was used to conduct quantitative trait loci (QTL) mapping for plant height across five environments based on a high-density genetic linkage map. As a result, 13 QTL associated with plant height were identified on seven chromosomes. Among these, four QTL (qPH-5, qPH6-1, qPH18, and qPH19-2) were consistently detected across multiple environments. Candidate genes for three stable QTL (qPH6-1, qPH18, and qPH19-2) with major effects on plant height were identified by annotating single-nucleotide polymorphisms within the parental haplotypes, combined with analyses of gene expression patterns and biological functions. Consequently, TCP13, Dt2, and Dt1 were predicted as strong candidate genes influencing plant height within these loci, respectively. Haplotype analyses within RIL population and across diverse soybean germplasm revealed that allelic variation in each of these genes significantly affected plant height. Moreover, different haplotype combinations of the three genes exhibited distinct phenotypic effects, indicating a pyramiding effect of these three genes on plant height. These findings will facilitate molecular breeding of soybean cultivars with ideal plant architecture.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Sha et al. (2026) studied this question.

synapsesocial.com/papers/699fe35995ddcd3a253e72b3https://doi.org/10.1002/tpg2.70207
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Mapping QTL for Plant Architecture-Related Traits in Soybean Across Multiple Environments2026 · 1 citations
  2. 2Genetic dissection of plant height-related traits by combined methods in wheat (Triticum aestivum L.)2025 · 4 citations
  3. 3Identification of QTL and Candidate Genes Controlling Plant Height and Internode Length in a Newly Characterized Bread Wheat Recombinant Inbred Population2026
  4. 4Genetic identification and characterization of putatively novel, stable, and validated loci for plant height in wheat (Triticum aestivum L.)2026 · 1 citations
  5. 5Genome-wide association analysis and prediction model construction for soybean plant height2026