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Comprehensive QTL analyses of nitrogen use efficiency in indica rice

Nitrogen-use efficiency (NUE) in rice is a complex quantitative trait involved in multiple biological processes and agronomic traits; however, the genetic basis and regulatory network of NUE remain largely unknown. We constructed a high-resolution microarray-based genetic map for 261 recombinant inb...

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Autores principales: Liu, Xiuyan, Jiang, Hong, Yang, Jing, Han, Jiajia, Jin, Mengxian, Zhang, Hongsheng, Chen, Liang, Chen, Sunlu, Teng, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539535/
https://www.ncbi.nlm.nih.gov/pubmed/36212385
http://dx.doi.org/10.3389/fpls.2022.992225
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author Liu, Xiuyan
Jiang, Hong
Yang, Jing
Han, Jiajia
Jin, Mengxian
Zhang, Hongsheng
Chen, Liang
Chen, Sunlu
Teng, Sheng
author_facet Liu, Xiuyan
Jiang, Hong
Yang, Jing
Han, Jiajia
Jin, Mengxian
Zhang, Hongsheng
Chen, Liang
Chen, Sunlu
Teng, Sheng
author_sort Liu, Xiuyan
collection PubMed
description Nitrogen-use efficiency (NUE) in rice is a complex quantitative trait involved in multiple biological processes and agronomic traits; however, the genetic basis and regulatory network of NUE remain largely unknown. We constructed a high-resolution microarray-based genetic map for 261 recombinant inbred lines derived from two indica parents. Using 2,345 bin markers, comprehensive analyses of quantitative trait loci (QTLs) of seven key agronomic traits under two different N levels were performed. A total of 11 non-redundant QTLs for effective panicle number (EPN), 7 for grain number per panicle, 13 for thousand-grain weight, 2 for seed-setting percentage, 15 for plant height, 12 for panicle length, and 6 for grain yield per plant were identified. The QTL regions were as small as 512 kb on average, and more than half spanned an interval smaller than 100 kb. Using this advantage, we identified possible candidate genes of two major EPN-related QTLs. One QTL detected under both N levels possibly encodes a DELLA protein SLR1, which is known to regulate NUE, although the natural variations of this protein have not been reported. The other QTL detected only under a high N level could encode the transcription factor OsbZIP59. We also predicted the possible candidate genes for another three of the NUE-related QTLs. Our results provide a reference for improving NUE-related QTL cloning and promote our understanding of NUE regulation in indica rice.
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spelling pubmed-95395352022-10-08 Comprehensive QTL analyses of nitrogen use efficiency in indica rice Liu, Xiuyan Jiang, Hong Yang, Jing Han, Jiajia Jin, Mengxian Zhang, Hongsheng Chen, Liang Chen, Sunlu Teng, Sheng Front Plant Sci Plant Science Nitrogen-use efficiency (NUE) in rice is a complex quantitative trait involved in multiple biological processes and agronomic traits; however, the genetic basis and regulatory network of NUE remain largely unknown. We constructed a high-resolution microarray-based genetic map for 261 recombinant inbred lines derived from two indica parents. Using 2,345 bin markers, comprehensive analyses of quantitative trait loci (QTLs) of seven key agronomic traits under two different N levels were performed. A total of 11 non-redundant QTLs for effective panicle number (EPN), 7 for grain number per panicle, 13 for thousand-grain weight, 2 for seed-setting percentage, 15 for plant height, 12 for panicle length, and 6 for grain yield per plant were identified. The QTL regions were as small as 512 kb on average, and more than half spanned an interval smaller than 100 kb. Using this advantage, we identified possible candidate genes of two major EPN-related QTLs. One QTL detected under both N levels possibly encodes a DELLA protein SLR1, which is known to regulate NUE, although the natural variations of this protein have not been reported. The other QTL detected only under a high N level could encode the transcription factor OsbZIP59. We also predicted the possible candidate genes for another three of the NUE-related QTLs. Our results provide a reference for improving NUE-related QTL cloning and promote our understanding of NUE regulation in indica rice. Frontiers Media S.A. 2022-09-23 /pmc/articles/PMC9539535/ /pubmed/36212385 http://dx.doi.org/10.3389/fpls.2022.992225 Text en Copyright © 2022 Liu, Jiang, Yang, Han, Jin, Zhang, Chen, Chen and Teng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Liu, Xiuyan
Jiang, Hong
Yang, Jing
Han, Jiajia
Jin, Mengxian
Zhang, Hongsheng
Chen, Liang
Chen, Sunlu
Teng, Sheng
Comprehensive QTL analyses of nitrogen use efficiency in indica rice
title Comprehensive QTL analyses of nitrogen use efficiency in indica rice
title_full Comprehensive QTL analyses of nitrogen use efficiency in indica rice
title_fullStr Comprehensive QTL analyses of nitrogen use efficiency in indica rice
title_full_unstemmed Comprehensive QTL analyses of nitrogen use efficiency in indica rice
title_short Comprehensive QTL analyses of nitrogen use efficiency in indica rice
title_sort comprehensive qtl analyses of nitrogen use efficiency in indica rice
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539535/
https://www.ncbi.nlm.nih.gov/pubmed/36212385
http://dx.doi.org/10.3389/fpls.2022.992225
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