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Development of an Aus-Derived Nested Association Mapping (Aus-NAM) Population in Rice
A genetic resource for studying genetic architecture of agronomic traits and environmental adaptation is essential for crop improvements. Here, we report the development of a rice nested association mapping population (aus-NAM) using 7 aus varieties as diversity donors and T65 as the common parent....
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234321/ https://www.ncbi.nlm.nih.gov/pubmed/34205511 http://dx.doi.org/10.3390/plants10061255 |
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author | Kitony, Justine K. Sunohara, Hidehiko Tasaki, Mikako Mori, Jun-Ichi Shimazu, Akihisa Reyes, Vincent P. Yasui, Hideshi Yamagata, Yoshiyuki Yoshimura, Atsushi Yamasaki, Masanori Nishiuchi, Shunsaku Doi, Kazuyuki |
author_facet | Kitony, Justine K. Sunohara, Hidehiko Tasaki, Mikako Mori, Jun-Ichi Shimazu, Akihisa Reyes, Vincent P. Yasui, Hideshi Yamagata, Yoshiyuki Yoshimura, Atsushi Yamasaki, Masanori Nishiuchi, Shunsaku Doi, Kazuyuki |
author_sort | Kitony, Justine K. |
collection | PubMed |
description | A genetic resource for studying genetic architecture of agronomic traits and environmental adaptation is essential for crop improvements. Here, we report the development of a rice nested association mapping population (aus-NAM) using 7 aus varieties as diversity donors and T65 as the common parent. Aus-NAM showed broad phenotypic variations. To test whether aus-NAM was useful for quantitative trait loci (QTL) mapping, known flowering genes (Ehd1, Hd1, and Ghd7) in rice were characterized using single-family QTL mapping, joint QTL mapping, and the methods based on genome-wide association study (GWAS). Ehd1 was detected in all the seven families and all the methods. On the other hand, Hd1 and Ghd7 were detected in some families, and joint QTL mapping and GWAS-based methods resulted in weaker and uncertain peaks. Overall, the high allelic variations in aus-NAM provide a valuable genetic resource for the rice community. |
format | Online Article Text |
id | pubmed-8234321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82343212021-06-27 Development of an Aus-Derived Nested Association Mapping (Aus-NAM) Population in Rice Kitony, Justine K. Sunohara, Hidehiko Tasaki, Mikako Mori, Jun-Ichi Shimazu, Akihisa Reyes, Vincent P. Yasui, Hideshi Yamagata, Yoshiyuki Yoshimura, Atsushi Yamasaki, Masanori Nishiuchi, Shunsaku Doi, Kazuyuki Plants (Basel) Article A genetic resource for studying genetic architecture of agronomic traits and environmental adaptation is essential for crop improvements. Here, we report the development of a rice nested association mapping population (aus-NAM) using 7 aus varieties as diversity donors and T65 as the common parent. Aus-NAM showed broad phenotypic variations. To test whether aus-NAM was useful for quantitative trait loci (QTL) mapping, known flowering genes (Ehd1, Hd1, and Ghd7) in rice were characterized using single-family QTL mapping, joint QTL mapping, and the methods based on genome-wide association study (GWAS). Ehd1 was detected in all the seven families and all the methods. On the other hand, Hd1 and Ghd7 were detected in some families, and joint QTL mapping and GWAS-based methods resulted in weaker and uncertain peaks. Overall, the high allelic variations in aus-NAM provide a valuable genetic resource for the rice community. MDPI 2021-06-21 /pmc/articles/PMC8234321/ /pubmed/34205511 http://dx.doi.org/10.3390/plants10061255 Text en © 2021 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 Kitony, Justine K. Sunohara, Hidehiko Tasaki, Mikako Mori, Jun-Ichi Shimazu, Akihisa Reyes, Vincent P. Yasui, Hideshi Yamagata, Yoshiyuki Yoshimura, Atsushi Yamasaki, Masanori Nishiuchi, Shunsaku Doi, Kazuyuki Development of an Aus-Derived Nested Association Mapping (Aus-NAM) Population in Rice |
title | Development of an Aus-Derived Nested Association Mapping (Aus-NAM) Population in Rice |
title_full | Development of an Aus-Derived Nested Association Mapping (Aus-NAM) Population in Rice |
title_fullStr | Development of an Aus-Derived Nested Association Mapping (Aus-NAM) Population in Rice |
title_full_unstemmed | Development of an Aus-Derived Nested Association Mapping (Aus-NAM) Population in Rice |
title_short | Development of an Aus-Derived Nested Association Mapping (Aus-NAM) Population in Rice |
title_sort | development of an aus-derived nested association mapping (aus-nam) population in rice |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234321/ https://www.ncbi.nlm.nih.gov/pubmed/34205511 http://dx.doi.org/10.3390/plants10061255 |
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