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Mapping genomic regions of moisture deficit stress tolerance using backcross inbred lines in wheat (Triticum aestivum L.)
Identification of markers associated with major physiological and yield component traits under moisture deficit stress conditions in preferred donor lines paves the way for marker-assisted selection (MAS). In the present study, a set of 183 backcross inbred lines (BILs) derived from the cross HD2733...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729395/ https://www.ncbi.nlm.nih.gov/pubmed/33303897 http://dx.doi.org/10.1038/s41598-020-78671-x |
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author | Puttamadanayaka, Shashikumara Harikrishna Balaramaiah, Manu Biradar, Sunil Parmeshwarappa, Sunilkumar V. Sinha, Nivedita Prasad, S. V. Sai Mishra, P. C. Jain, Neelu Singh, Pradeep Kumar Singh, Gyanendra Pratap Prabhu, Kumble Vinod |
author_facet | Puttamadanayaka, Shashikumara Harikrishna Balaramaiah, Manu Biradar, Sunil Parmeshwarappa, Sunilkumar V. Sinha, Nivedita Prasad, S. V. Sai Mishra, P. C. Jain, Neelu Singh, Pradeep Kumar Singh, Gyanendra Pratap Prabhu, Kumble Vinod |
author_sort | Puttamadanayaka, Shashikumara |
collection | PubMed |
description | Identification of markers associated with major physiological and yield component traits under moisture deficit stress conditions in preferred donor lines paves the way for marker-assisted selection (MAS). In the present study, a set of 183 backcross inbred lines (BILs) derived from the cross HD2733/2*C306 were genotyped using 35K Axiom genotyping array and SSR markers. The multi-trait, multi-location field phenotyping of BILs was done at three locations covering two major wheat growing zones of India, north-western plains zone (NWPZ) and central zone (CZ) under varying moisture regimes. A linkage map was constructed using 705 SNPs and 86 SSR polymorphic markers. A total of 43 genomic regions and QTL × QTL epistatic interactions were identified for 14 physiological and yield component traits, including NDVI, chlorophyll content, CT, CL, PH, GWPS, TGW and GY. Chromosomes 2A, 5D, 5A and 4B harbors greater number of QTLs for these traits. Seven Stable QTLs were identified across environment for DH (QDh.iari_6D), GWPS (QGWPS.iari_5B), PH (QPh.iari_4B-2, QPh.iari_4B-3) and NDVI (QNdvi1.iari_5D, QNdvi3.iari_5A). Nine genomic regions identified carrying major QTLs for CL, NDVI, RWC, FLA, PH, TGW and biomass explaining 10.32–28.35% of the phenotypic variance. The co-segregation of QTLs of physiological traits with yield component traits indicate the pleiotropic effects and their usefulness in the breeding programme. Our findings will be useful in dissecting genetic nature and marker-assisted selection for moisture deficit stress tolerance in wheat. |
format | Online Article Text |
id | pubmed-7729395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77293952020-12-14 Mapping genomic regions of moisture deficit stress tolerance using backcross inbred lines in wheat (Triticum aestivum L.) Puttamadanayaka, Shashikumara Harikrishna Balaramaiah, Manu Biradar, Sunil Parmeshwarappa, Sunilkumar V. Sinha, Nivedita Prasad, S. V. Sai Mishra, P. C. Jain, Neelu Singh, Pradeep Kumar Singh, Gyanendra Pratap Prabhu, Kumble Vinod Sci Rep Article Identification of markers associated with major physiological and yield component traits under moisture deficit stress conditions in preferred donor lines paves the way for marker-assisted selection (MAS). In the present study, a set of 183 backcross inbred lines (BILs) derived from the cross HD2733/2*C306 were genotyped using 35K Axiom genotyping array and SSR markers. The multi-trait, multi-location field phenotyping of BILs was done at three locations covering two major wheat growing zones of India, north-western plains zone (NWPZ) and central zone (CZ) under varying moisture regimes. A linkage map was constructed using 705 SNPs and 86 SSR polymorphic markers. A total of 43 genomic regions and QTL × QTL epistatic interactions were identified for 14 physiological and yield component traits, including NDVI, chlorophyll content, CT, CL, PH, GWPS, TGW and GY. Chromosomes 2A, 5D, 5A and 4B harbors greater number of QTLs for these traits. Seven Stable QTLs were identified across environment for DH (QDh.iari_6D), GWPS (QGWPS.iari_5B), PH (QPh.iari_4B-2, QPh.iari_4B-3) and NDVI (QNdvi1.iari_5D, QNdvi3.iari_5A). Nine genomic regions identified carrying major QTLs for CL, NDVI, RWC, FLA, PH, TGW and biomass explaining 10.32–28.35% of the phenotypic variance. The co-segregation of QTLs of physiological traits with yield component traits indicate the pleiotropic effects and their usefulness in the breeding programme. Our findings will be useful in dissecting genetic nature and marker-assisted selection for moisture deficit stress tolerance in wheat. Nature Publishing Group UK 2020-12-10 /pmc/articles/PMC7729395/ /pubmed/33303897 http://dx.doi.org/10.1038/s41598-020-78671-x Text en © The Author(s) 2020 Open Access This 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/. |
spellingShingle | Article Puttamadanayaka, Shashikumara Harikrishna Balaramaiah, Manu Biradar, Sunil Parmeshwarappa, Sunilkumar V. Sinha, Nivedita Prasad, S. V. Sai Mishra, P. C. Jain, Neelu Singh, Pradeep Kumar Singh, Gyanendra Pratap Prabhu, Kumble Vinod Mapping genomic regions of moisture deficit stress tolerance using backcross inbred lines in wheat (Triticum aestivum L.) |
title | Mapping genomic regions of moisture deficit stress tolerance using backcross inbred lines in wheat (Triticum aestivum L.) |
title_full | Mapping genomic regions of moisture deficit stress tolerance using backcross inbred lines in wheat (Triticum aestivum L.) |
title_fullStr | Mapping genomic regions of moisture deficit stress tolerance using backcross inbred lines in wheat (Triticum aestivum L.) |
title_full_unstemmed | Mapping genomic regions of moisture deficit stress tolerance using backcross inbred lines in wheat (Triticum aestivum L.) |
title_short | Mapping genomic regions of moisture deficit stress tolerance using backcross inbred lines in wheat (Triticum aestivum L.) |
title_sort | mapping genomic regions of moisture deficit stress tolerance using backcross inbred lines in wheat (triticum aestivum l.) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729395/ https://www.ncbi.nlm.nih.gov/pubmed/33303897 http://dx.doi.org/10.1038/s41598-020-78671-x |
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