Spectrum and Density of Gamma and X-ray Induced Mutations in a Non-Model Rice Cultivar
Physical mutagens are a powerful tool used for genetic research and breeding for over eight decades. Yet, when compared to chemical mutagens, data sets on the effect of different mutagens and dosages on the spectrum and density of induced mutations remain lacking. To address this, we investigated th...
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MDPI AG
2022-11-01
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author | Joanna Jankowicz-Cieslak Bernhard J. Hofinger Luka Jarc Sini Junttila Bence Galik Attila Gyenesei Ivan L. Ingelbrecht Bradley J. Till |
author_facet | Joanna Jankowicz-Cieslak Bernhard J. Hofinger Luka Jarc Sini Junttila Bence Galik Attila Gyenesei Ivan L. Ingelbrecht Bradley J. Till |
author_sort | Joanna Jankowicz-Cieslak |
collection | DOAJ |
description | Physical mutagens are a powerful tool used for genetic research and breeding for over eight decades. Yet, when compared to chemical mutagens, data sets on the effect of different mutagens and dosages on the spectrum and density of induced mutations remain lacking. To address this, we investigated the landscape of mutations induced by gamma and X-ray radiation in the most widely cultivated crop species: rice. A mutant population of a tropical upland rice, <i>Oryza sativa</i> L., was generated and propagated via self-fertilization for seven generations. Five dosages ranging from 75 Gy to 600 Gy in both X-ray and gamma-irradiated material were applied. In the process of a forward genetic screens, 11 unique rice mutant lines showing phenotypic variation were selected for mutation analysis via whole-genome sequencing. Thousands of candidate mutations were recovered in each mutant with single base substitutions being the most common, followed by small indels and structural variants. Higher dosages resulted in a higher accumulation of mutations in gamma-irradiated material, but not in X-ray-treated plants. The in vivo role of all annotated rice genes is yet to be directly investigated. The ability to induce a high density of single nucleotide and structural variants through mutagenesis will likely remain an important approach for functional genomics and breeding. |
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issn | 2223-7747 |
language | English |
last_indexed | 2024-03-09T17:36:03Z |
publishDate | 2022-11-01 |
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spelling | doaj.art-c78db8fc6bba4dab91c1ba6e80c7d9342023-11-24T11:54:31ZengMDPI AGPlants2223-77472022-11-011123323210.3390/plants11233232Spectrum and Density of Gamma and X-ray Induced Mutations in a Non-Model Rice CultivarJoanna Jankowicz-Cieslak0Bernhard J. Hofinger1Luka Jarc2Sini Junttila3Bence Galik4Attila Gyenesei5Ivan L. Ingelbrecht6Bradley J. Till7Plant Breeding and Genetics Laboratory, FAO/IAEA Joint Division, International Atomic Energy Agency (IAEA), 2444 Seibersdorf, AustriaPlant Breeding and Genetics Laboratory, FAO/IAEA Joint Division, International Atomic Energy Agency (IAEA), 2444 Seibersdorf, AustriaPlant Breeding and Genetics Laboratory, FAO/IAEA Joint Division, International Atomic Energy Agency (IAEA), 2444 Seibersdorf, AustriaBioinformatics and Scientific Computing Core, Vienna Biocenter Core Facilities GmbH, Dr-Bohr-Gasse 3, 1030 Vienna, AustriaBioinformatics and Scientific Computing Core, Vienna Biocenter Core Facilities GmbH, Dr-Bohr-Gasse 3, 1030 Vienna, AustriaBioinformatics and Scientific Computing Core, Vienna Biocenter Core Facilities GmbH, Dr-Bohr-Gasse 3, 1030 Vienna, AustriaPlant Breeding and Genetics Laboratory, FAO/IAEA Joint Division, International Atomic Energy Agency (IAEA), 2444 Seibersdorf, AustriaPlant Breeding and Genetics Laboratory, FAO/IAEA Joint Division, International Atomic Energy Agency (IAEA), 2444 Seibersdorf, AustriaPhysical mutagens are a powerful tool used for genetic research and breeding for over eight decades. Yet, when compared to chemical mutagens, data sets on the effect of different mutagens and dosages on the spectrum and density of induced mutations remain lacking. To address this, we investigated the landscape of mutations induced by gamma and X-ray radiation in the most widely cultivated crop species: rice. A mutant population of a tropical upland rice, <i>Oryza sativa</i> L., was generated and propagated via self-fertilization for seven generations. Five dosages ranging from 75 Gy to 600 Gy in both X-ray and gamma-irradiated material were applied. In the process of a forward genetic screens, 11 unique rice mutant lines showing phenotypic variation were selected for mutation analysis via whole-genome sequencing. Thousands of candidate mutations were recovered in each mutant with single base substitutions being the most common, followed by small indels and structural variants. Higher dosages resulted in a higher accumulation of mutations in gamma-irradiated material, but not in X-ray-treated plants. The in vivo role of all annotated rice genes is yet to be directly investigated. The ability to induce a high density of single nucleotide and structural variants through mutagenesis will likely remain an important approach for functional genomics and breeding.https://www.mdpi.com/2223-7747/11/23/3232mutation breedingstructural variantsforward geneticswhole-genome sequencingtransposable elements |
spellingShingle | Joanna Jankowicz-Cieslak Bernhard J. Hofinger Luka Jarc Sini Junttila Bence Galik Attila Gyenesei Ivan L. Ingelbrecht Bradley J. Till Spectrum and Density of Gamma and X-ray Induced Mutations in a Non-Model Rice Cultivar Plants mutation breeding structural variants forward genetics whole-genome sequencing transposable elements |
title | Spectrum and Density of Gamma and X-ray Induced Mutations in a Non-Model Rice Cultivar |
title_full | Spectrum and Density of Gamma and X-ray Induced Mutations in a Non-Model Rice Cultivar |
title_fullStr | Spectrum and Density of Gamma and X-ray Induced Mutations in a Non-Model Rice Cultivar |
title_full_unstemmed | Spectrum and Density of Gamma and X-ray Induced Mutations in a Non-Model Rice Cultivar |
title_short | Spectrum and Density of Gamma and X-ray Induced Mutations in a Non-Model Rice Cultivar |
title_sort | spectrum and density of gamma and x ray induced mutations in a non model rice cultivar |
topic | mutation breeding structural variants forward genetics whole-genome sequencing transposable elements |
url | https://www.mdpi.com/2223-7747/11/23/3232 |
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