TY - JOUR
T1 - Development of an aus-derived nested association mapping (Aus-nam) population in rice
AU - Kitony, Justine K.
AU - Sunohara, Hidehiko
AU - Tasaki, Mikako
AU - Mori, Jun Ichi
AU - Shimazu, Akihisa
AU - Reyes, Vincent P.
AU - Yasui, Hideshi
AU - Yamagata, Yoshiyuki
AU - Yoshimura, Atsushi
AU - Yamasaki, Masanori
AU - Nishiuchi, Shunsaku
AU - Doi, Kazuyuki
N1 - Funding Information:
This work was supported by Cross-ministerial Strategic Innovation Promotion Program (SIP), National Bioresource Project (NBRP), RIKEN Cluster for Science, Technology and Innovation Hub (RCSTI), and JSPS KAKENHI Grant Number 21K05522/20KK0138. JKK is grateful to JICA Agri Net program for the scholarship. The authors would like to thank NIAS Genebank for providing the founder materials.
Funding Information:
Funding: This work was supported by Cross-ministerial Strategic Innovation Promotion Program (SIP), National Bioresource Project (NBRP), RIKEN Cluster for Science, Technology and Innovation Hub (RCSTI), and JSPS KAKENHI Grant Number 21K05522/20KK0138.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
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U2 - 10.3390/plants10061255
DO - 10.3390/plants10061255
M3 - Article
AN - SCOPUS:85108177821
SN - 2223-7747
VL - 10
JO - Plants
JF - Plants
IS - 6
M1 - 1255
ER -