# Unraveling the genetic and molecular bases of heterosis in a TGMS-based two-line rice hybrid derived F2 segregating population

**Authors:** Faraz Azeem, Jauhar Ali, Tonette. P. Laude, Seyed Mahdi Hosseiniyan Khatibi, Varunseelan Murugaiyan, Neeraj Kumar, Angelito Galang, Madonna Dela Paz, Erik Jon De Asis, Atul Singh, Christian John Robiso, Carla Francesca Besa, Pompe C. Sta. Cruz, Eureka Teressa M. Ocampo, Jose E. Hernandez

PMC · DOI: 10.3389/fpls.2025.1722476 · Frontiers in Plant Science · 2026-01-16

## TL;DR

This study explores the genetic basis of increased rice yield in a specific hybrid system, identifying key genes and regions linked to higher productivity.

## Contribution

The study provides a high-resolution genetic dissection of heterosis in a TGMS-based rice hybrid system and identifies candidate genes for marker-assisted breeding.

## Key findings

- 24 main-effect QTLs were identified for seven agronomic traits, with some explaining up to 67.5% of phenotypic variance.
- Major QTLs were found for tiller number, unfilled grains, and grain weight, pointing to key genomic regions.
- Candidate genes like SPP, GW2, DEP1, and OsCCaMK were prioritized based on positional and expression evidence.

## Abstract

Heterosis has played a pivotal role in enhancing rice yield, yet its genetic and molecular bases remain only partially understood, particularly in two-line thermosensitive genic male sterile (TGMS) hybrid systems.

In this study, we dissected the genetic architecture underlying heterosis using an F₂ segregating population comprising 392 individuals, derived from the elite TGMS-based hybrid IR144693H (IRAC-43S×IRV932). High-density genotyping was performed using the 1k-Rice Custom Amplicon (1k-RiCA) SNP panel, coupled with comprehensive phenotyping of yield and yield-related traits under field conditions.

Quantitative trait locus (QTL) analysis identified 24 main-effect QTLs associated with seven agronomic and physiological traits, explaining 4.1% to 67.5% of the phenotypic variance. Major-effect QTLs were detected for number of tillers (qNT3011 and qNT6011 on chromosome 11), unfilled grains (qUFG7.2 and qUFG9), and thousand grain weight (qTGW12.1), highlighting key genomic regions contributing to heterosis. The F₂ segregating population exhibited extensive phenotypic variation and transgressive segregation for multiple traits, underscoring the complex and polygenic nature of heterosis in TGMS-based rice hybrid systems.

In the absence of system-specific reference genomes and transcriptomic resources for two-line rice hybrids, candidate gene identification was conducted using the Nipponbare reference genome and publicly available expression datasets. Several biologically relevant genes were prioritized within major QTL intervals, including SPP (sucrose-phosphate phosphatase), GW2 (grain width regulator), DEP1 (panicle architecture), and OsCCaMK (calcium/calmodulin-dependent protein kinase), supported by positional evidence and tissue-specific expression patterns.Overall, this study provides a high-resolution dissection of heterosis-associated genomic regions in a TGMS-derived F₂ segregating population and delivers valuable candidate loci for marker-assisted selection and functional validation. These findings advance our understanding of heterosis in two-line hybrid rice and offer practical insights for the development of next-generation high-yielding hybrids.

## Linked entities

- **Genes:** HM13 (histocompatibility minor 13) [NCBI Gene 81502], LOC4328856 (E3 ubiquitin-protein ligase GW2) [NCBI Gene 4328856], PTPRJ (protein tyrosine phosphatase receptor type J) [NCBI Gene 5795], LOC4339160 (Calcium and calcium/calmodulin-dependent serine/threonine-protein kinase) [NCBI Gene 4339160]

## Full-text entities

- **Species:** Oryza sativa (Asian cultivated rice, species) [taxon 4530]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12867038/full.md

## References

71 references — full list in the complete paper: https://tomesphere.com/paper/PMC12867038/full.md

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Source: https://tomesphere.com/paper/PMC12867038