Ozone‐Tolerant Rice for Air‐Polluted Environments

Recent decades have witnessed a surge in tropospheric ozone concentrations across many Asian countries, including Bangladesh, posing a significant threat to rice yields and regional food security. This study presents a comprehensive marker-assisted breeding program designed to introgress two quantitative trait loci (QTL) conferring ozone tolerance into elite Bangladeshi rice varieties. We crossed the donor landrace Kasalath with high-yielding varieties BRRI dhan28 and Binadhan-11, generating BC<sub>2</sub>F<sub>4</sub> lines with an average of 87% recipient parent genome recovery. These lines harbored diverse combinations of positive alleles at the target QTLs while retaining the agronomic traits of modern rice varieties. In controlled open-top-chamber experiments, the presence of these QTLs in elite backgrounds mitigated ozone stress symptoms, reduced physiological damage such as lipid peroxidation or loss in photosynthetic CO<sub>2</sub> assimilation rates, and alleviated yield losses. Field trials conducted in a high ozone stress environment in Bangladesh, with and without the ozone protectant ethylenediurea (EDU), revealed that sensitive recipient parents suffered under ambient ozone concentrations. In contrast, the ozone-tolerant lines exhibited significantly less yield loss and were less affected by pollution. Our findings demonstrate the efficacy of marker-assisted breeding in adapting rice to changing atmospheric conditions, offering a robust strategy for safeguarding food security in the face of global change.

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Publication Details

Journal
Global Change Biology
Published
2025-12-01
DOI
https://doi.org/10.1111/gcb.70631
Citations
1
Primary Topic
Plant responses to elevated CO2
Type
article
Field-Weighted Citation Impact
1.75

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article

Ozone‐Tolerant Rice for Air‐Polluted Environments

Ashmita Karki, Matthias Wissuwa, Muhammad Shahedul Alam, Sawitree Autarmat et al.
1 citations
Global Change Biology
Plant responses to elevated CO2
1.75
article

Ozone‐Tolerant Rice for Air‐Polluted Environments

Ashmita Karki, Matthias Wissuwa, Muhammad Shahedul Alam, Sawitree Autarmat, Michael Hartung, A. Baburajan, Michael Frei, Yanru Feng, Mirza Mofazzal Islam, Minh Khue, Blessing Omo Osimahon
article en
1 citations

Abstract

Recent decades have witnessed a surge in tropospheric ozone concentrations across many Asian countries, including Bangladesh, posing a significant threat to rice yields and regional food security. This study presents a comprehensive marker-assisted breeding program designed to introgress two quantitative trait loci (QTL) conferring ozone tolerance into elite Bangladeshi rice varieties. We crossed the donor landrace Kasalath with high-yielding varieties BRRI dhan28 and Binadhan-11, generating BC<sub>2</sub>F<sub>4</sub> lines with an average of 87% recipient parent genome recovery. These lines harbored diverse combinations of positive alleles at the target QTLs while retaining the agronomic traits of modern rice varieties. In controlled open-top-chamber experiments, the presence of these QTLs in elite backgrounds mitigated ozone stress symptoms, reduced physiological damage such as lipid peroxidation or loss in photosynthetic CO<sub>2</sub> assimilation rates, and alleviated yield losses. Field trials conducted in a high ozone stress environment in Bangladesh, with and without the ozone protectant ethylenediurea (EDU), revealed that sensitive recipient parents suffered under ambient ozone concentrations. In contrast, the ozone-tolerant lines exhibited significantly less yield loss and were less affected by pollution. Our findings demonstrate the efficacy of marker-assisted breeding in adapting rice to changing atmospheric conditions, offering a robust strategy for safeguarding food security in the face of global change.

Global Change BiologyVol. 31(12)
University of Bonn (DE), Justus-Liebig-Universität Gießen (DE), Bangladesh Agricultural University (BD), Bangladesh Fisheries Research Institute (BD)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 11%
Plant responses to elevated CO2
1.75
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