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Conditional QTL mapping for waterlogging tolerance in two RILs populations of wheat
Waterlogging is a widespread limiting factor for wheat production throughout the world, specially irrigated and high rainfall environments. Only few studies reported QTLs for waterlogging tolerance. To identify quantitative trait loci (QTLs) for waterlogging tolerance, root dry weight index (RDWI),...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing AG
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671099/ https://www.ncbi.nlm.nih.gov/pubmed/23750334 http://dx.doi.org/10.1186/2193-1801-2-245 |
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author | Yu, Ma Chen, Guo-Yue |
author_facet | Yu, Ma Chen, Guo-Yue |
author_sort | Yu, Ma |
collection | PubMed |
description | Waterlogging is a widespread limiting factor for wheat production throughout the world, specially irrigated and high rainfall environments. Only few studies reported QTLs for waterlogging tolerance. To identify quantitative trait loci (QTLs) for waterlogging tolerance, root dry weight index (RDWI), shoot dry weight index (SDWI), total dry weight index (TDWI) were measured at seedling stage in two unrelated recombinant inbred lines (RILs) populations. These populations were International Triticeae Mapping Initiative (ITMI) population ‘W7984 / Opata85’, and ‘SHW-L1 × Chuanmai 32’ (SC) population. Conditional QTL mapping and unconditional QTL mapping were studied to dissect the genetic relationship between TDWI and its components of SDWI and TDWI. Total of 36 QTLs for waterlogging tolerance in ITMI population and 10 QTLs in SC population were identified in present study. Of them, 17 alleles from synthetic hexaploid wheat ‘W7984’ and 3 alleles from synthetic hexaploid wheat ‘SHW-L1’ contribute positively to waterlogging tolerance. Combinations of conditional and unconditional mapping methods indicate that SDWI showed tighter genetic correlation with TDWI than RDWI. This QTL identification study and dissection provide theoretical basis and application foundation to Marker-assisted selection (MAS) of waterlogging tolerance improvement in wheat. |
format | Online Article Text |
id | pubmed-3671099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer International Publishing AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-36710992013-06-06 Conditional QTL mapping for waterlogging tolerance in two RILs populations of wheat Yu, Ma Chen, Guo-Yue Springerplus Research Waterlogging is a widespread limiting factor for wheat production throughout the world, specially irrigated and high rainfall environments. Only few studies reported QTLs for waterlogging tolerance. To identify quantitative trait loci (QTLs) for waterlogging tolerance, root dry weight index (RDWI), shoot dry weight index (SDWI), total dry weight index (TDWI) were measured at seedling stage in two unrelated recombinant inbred lines (RILs) populations. These populations were International Triticeae Mapping Initiative (ITMI) population ‘W7984 / Opata85’, and ‘SHW-L1 × Chuanmai 32’ (SC) population. Conditional QTL mapping and unconditional QTL mapping were studied to dissect the genetic relationship between TDWI and its components of SDWI and TDWI. Total of 36 QTLs for waterlogging tolerance in ITMI population and 10 QTLs in SC population were identified in present study. Of them, 17 alleles from synthetic hexaploid wheat ‘W7984’ and 3 alleles from synthetic hexaploid wheat ‘SHW-L1’ contribute positively to waterlogging tolerance. Combinations of conditional and unconditional mapping methods indicate that SDWI showed tighter genetic correlation with TDWI than RDWI. This QTL identification study and dissection provide theoretical basis and application foundation to Marker-assisted selection (MAS) of waterlogging tolerance improvement in wheat. Springer International Publishing AG 2013-05-27 /pmc/articles/PMC3671099/ /pubmed/23750334 http://dx.doi.org/10.1186/2193-1801-2-245 Text en © Yu and Chen; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Yu, Ma Chen, Guo-Yue Conditional QTL mapping for waterlogging tolerance in two RILs populations of wheat |
title | Conditional QTL mapping for waterlogging tolerance in two RILs populations of wheat |
title_full | Conditional QTL mapping for waterlogging tolerance in two RILs populations of wheat |
title_fullStr | Conditional QTL mapping for waterlogging tolerance in two RILs populations of wheat |
title_full_unstemmed | Conditional QTL mapping for waterlogging tolerance in two RILs populations of wheat |
title_short | Conditional QTL mapping for waterlogging tolerance in two RILs populations of wheat |
title_sort | conditional qtl mapping for waterlogging tolerance in two rils populations of wheat |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671099/ https://www.ncbi.nlm.nih.gov/pubmed/23750334 http://dx.doi.org/10.1186/2193-1801-2-245 |
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