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QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing
The size, shape, and color of wheat seeds are important traits that are associated with yield and flour quality (size, shape), nutritional value, and pre-harvest sprouting (coat color). These traits are under multigenic control, and to dissect their molecular and genetic basis, quantitative trait lo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414870/ https://www.ncbi.nlm.nih.gov/pubmed/36015408 http://dx.doi.org/10.3390/plants11162105 |
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author | Arif, Mian Abdur Rehman Komyshev, Evgenii G. Genaev, Mikhail A. Koval, Vasily S. Shmakov, Nikolay A. Börner, Andreas Afonnikov, Dmitry A. |
author_facet | Arif, Mian Abdur Rehman Komyshev, Evgenii G. Genaev, Mikhail A. Koval, Vasily S. Shmakov, Nikolay A. Börner, Andreas Afonnikov, Dmitry A. |
author_sort | Arif, Mian Abdur Rehman |
collection | PubMed |
description | The size, shape, and color of wheat seeds are important traits that are associated with yield and flour quality (size, shape), nutritional value, and pre-harvest sprouting (coat color). These traits are under multigenic control, and to dissect their molecular and genetic basis, quantitative trait loci (QTL) analysis is used. We evaluated 114 recombinant inbred lines (RILs) in a bi-parental RIL mapping population (the International Triticeae Mapping Initiative, ITMI/MP) grown in 2014 season. We used digital image analysis for seed phenotyping and obtained data for seven traits describing seed size and shape and 48 traits of seed coat color. We identified 212 additive and 34 pairs of epistatic QTLs on all the chromosomes of wheat genome except chromosomes 1A and 5D. Many QTLs were overlapping. We demonstrated that the overlap between QTL regions was low for seed size/shape traits and high for coat color traits. Using the literature and KEGG data, we identified sets of genes in Arabidopsis and rice from the networks controlling seed size and color. Further, we identified 29 and 14 candidate genes for seed size-related loci and for loci associated with seed coat color, respectively. |
format | Online Article Text |
id | pubmed-9414870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94148702022-08-27 QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing Arif, Mian Abdur Rehman Komyshev, Evgenii G. Genaev, Mikhail A. Koval, Vasily S. Shmakov, Nikolay A. Börner, Andreas Afonnikov, Dmitry A. Plants (Basel) Article The size, shape, and color of wheat seeds are important traits that are associated with yield and flour quality (size, shape), nutritional value, and pre-harvest sprouting (coat color). These traits are under multigenic control, and to dissect their molecular and genetic basis, quantitative trait loci (QTL) analysis is used. We evaluated 114 recombinant inbred lines (RILs) in a bi-parental RIL mapping population (the International Triticeae Mapping Initiative, ITMI/MP) grown in 2014 season. We used digital image analysis for seed phenotyping and obtained data for seven traits describing seed size and shape and 48 traits of seed coat color. We identified 212 additive and 34 pairs of epistatic QTLs on all the chromosomes of wheat genome except chromosomes 1A and 5D. Many QTLs were overlapping. We demonstrated that the overlap between QTL regions was low for seed size/shape traits and high for coat color traits. Using the literature and KEGG data, we identified sets of genes in Arabidopsis and rice from the networks controlling seed size and color. Further, we identified 29 and 14 candidate genes for seed size-related loci and for loci associated with seed coat color, respectively. MDPI 2022-08-12 /pmc/articles/PMC9414870/ /pubmed/36015408 http://dx.doi.org/10.3390/plants11162105 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Arif, Mian Abdur Rehman Komyshev, Evgenii G. Genaev, Mikhail A. Koval, Vasily S. Shmakov, Nikolay A. Börner, Andreas Afonnikov, Dmitry A. QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing |
title | QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing |
title_full | QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing |
title_fullStr | QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing |
title_full_unstemmed | QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing |
title_short | QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing |
title_sort | qtl analysis for bread wheat seed size, shape and color characteristics estimated by digital image processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414870/ https://www.ncbi.nlm.nih.gov/pubmed/36015408 http://dx.doi.org/10.3390/plants11162105 |
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