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QTL mapping under salt stress in rice using a Kalarata–Azucena population
Salt stress is a major constraint across large rice production areas in Asia, because of the high sensitivity of modern rice varieties. To identify quantitative trait loci (QTL) associated with salt tolerance in rice, we developed an F(2) population from a cross between the salt-tolerant landrace, K...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427886/ https://www.ncbi.nlm.nih.gov/pubmed/36060537 http://dx.doi.org/10.1007/s10681-022-03026-8 |
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author | de Ocampo, Marjorie P. Ho, Viet The Thomson, Michael J. Mitsuya, Shiro Yamauchi, Akira Ismail, Abdelbagi M. |
author_facet | de Ocampo, Marjorie P. Ho, Viet The Thomson, Michael J. Mitsuya, Shiro Yamauchi, Akira Ismail, Abdelbagi M. |
author_sort | de Ocampo, Marjorie P. |
collection | PubMed |
description | Salt stress is a major constraint across large rice production areas in Asia, because of the high sensitivity of modern rice varieties. To identify quantitative trait loci (QTL) associated with salt tolerance in rice, we developed an F(2) population from a cross between the salt-tolerant landrace, Kalarata, and the salt-sensitive parent, Azucena. F3 families from this population were screened and scored for salt tolerance using IRRI’s Standard evaluation system (SES). Growth, biomass, Na(+) and K(+) concentrations in leaf tissues, and chlorophyll concentration were determined. A genetic linkage map was constructed with 151 SSRs and InDel markers, which cover 1463 cM with an average distance of 9.69 cM between loci. A total of 13 QTL were identified using Composite Interval Mapping for 16 traits. Several novel QTL were identified in this study, the largest is for root sodium concentration (LOD = 11.0, R(2) = 25.0) on chromosome 3, which also co-localize with a QTL for SES. Several QTL on the short arm of chromosome 1 coincide with the Saltol locus identified before. The novel QTL identified in this study constitute future targets for molecular breeding, to combine them with other QTL identified before, for higher tolerance and stable performance of rice varieties in salt affected soils. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10681-022-03026-8. |
format | Online Article Text |
id | pubmed-9427886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-94278862022-09-01 QTL mapping under salt stress in rice using a Kalarata–Azucena population de Ocampo, Marjorie P. Ho, Viet The Thomson, Michael J. Mitsuya, Shiro Yamauchi, Akira Ismail, Abdelbagi M. Euphytica Article Salt stress is a major constraint across large rice production areas in Asia, because of the high sensitivity of modern rice varieties. To identify quantitative trait loci (QTL) associated with salt tolerance in rice, we developed an F(2) population from a cross between the salt-tolerant landrace, Kalarata, and the salt-sensitive parent, Azucena. F3 families from this population were screened and scored for salt tolerance using IRRI’s Standard evaluation system (SES). Growth, biomass, Na(+) and K(+) concentrations in leaf tissues, and chlorophyll concentration were determined. A genetic linkage map was constructed with 151 SSRs and InDel markers, which cover 1463 cM with an average distance of 9.69 cM between loci. A total of 13 QTL were identified using Composite Interval Mapping for 16 traits. Several novel QTL were identified in this study, the largest is for root sodium concentration (LOD = 11.0, R(2) = 25.0) on chromosome 3, which also co-localize with a QTL for SES. Several QTL on the short arm of chromosome 1 coincide with the Saltol locus identified before. The novel QTL identified in this study constitute future targets for molecular breeding, to combine them with other QTL identified before, for higher tolerance and stable performance of rice varieties in salt affected soils. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10681-022-03026-8. Springer Netherlands 2022-05-15 2022 /pmc/articles/PMC9427886/ /pubmed/36060537 http://dx.doi.org/10.1007/s10681-022-03026-8 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article de Ocampo, Marjorie P. Ho, Viet The Thomson, Michael J. Mitsuya, Shiro Yamauchi, Akira Ismail, Abdelbagi M. QTL mapping under salt stress in rice using a Kalarata–Azucena population |
title | QTL mapping under salt stress in rice using a Kalarata–Azucena population |
title_full | QTL mapping under salt stress in rice using a Kalarata–Azucena population |
title_fullStr | QTL mapping under salt stress in rice using a Kalarata–Azucena population |
title_full_unstemmed | QTL mapping under salt stress in rice using a Kalarata–Azucena population |
title_short | QTL mapping under salt stress in rice using a Kalarata–Azucena population |
title_sort | qtl mapping under salt stress in rice using a kalarata–azucena population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427886/ https://www.ncbi.nlm.nih.gov/pubmed/36060537 http://dx.doi.org/10.1007/s10681-022-03026-8 |
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