ArticlePlanta2026
Converging QTL mapping with MutMap identifies novel genomic regions associated with strong culm in rice (Oryza sativa L.).
Article in Planta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Recent physiological, genetic, and management perspectives on lodging resistance in rice.Planta · 2026Review
- Advances in mutant characterization for detecting causal mutations in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Multi-model genome-wide association studies identify stable QTLs and candidate genes for lodging resistance inFrontiers in plant science · 2026Article
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Authors and funding
15 authors.
Funding
Abstract
key messageThis study characterizes wild-type and mutants of rice for culm strength at morphological, histological, and molecular levels, identifying key genes and genomic regions that govern the strong culm trait. Strong culm trait in rice has gained importance for sustainability in the realm of climate change. The mutants having economic important traits have become a potential source for the identification of genomic regions. The present study aimed to characterize rice mutants having strong culms and to identify genomic regions through conventional as well as NGS-based mapping approaches. Morphological characterization of Samba Mahsuri mutants with strong culms showed that they had a greater culm diameter and physical strength than the wild type. Histological analysis confirmed the morphological parameters, which included increased thickness in culm tissue, wider intervascular bundle spacing, and thicker lignified epi- and sub-epidermal layers, as well as parenchymal layers. Exploring one of the chemically mutagenized Samba Mahsuri mutants, SB170-B having strong culm, a genetic linkage map was constructed and identified four novel QTLs: qSC-5 (chromosome 5), qSC-6a (chromosome 6), qSC-6b (chromosome 6), and qSC-10 (chromosome 10), explaining 23.76%, 21.60%, 15.40%, and 40.50% of the phenotypic variance for strong culm, respectively. MutMap, an NGS-based analysis of the weak and strong culm pools from the F
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