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Development of a MAGIC population and high-resolution quantitative trait mapping for nicotine content in tobacco
Multiparent Advanced Generation Inter-Cross (MAGIC) population is an ideal genetic and breeding material for quantitative trait locus (QTL) mapping and molecular breeding. In this study, a MAGIC population derived from eight tobacco parents was developed. Eight parents and 560 homozygous lines were...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871594/ https://www.ncbi.nlm.nih.gov/pubmed/36704165 http://dx.doi.org/10.3389/fpls.2022.1086950 |
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author | Yuan, Guangdi Sun, Kefan Yu, Wenlong Jiang, Zipeng Jiang, Caihong Liu, Dan Wen, Liuying Si, Huan Wu, Fengyan Meng, He Cheng, Lirui Yang, Aiguo Wang, Yuanying |
author_facet | Yuan, Guangdi Sun, Kefan Yu, Wenlong Jiang, Zipeng Jiang, Caihong Liu, Dan Wen, Liuying Si, Huan Wu, Fengyan Meng, He Cheng, Lirui Yang, Aiguo Wang, Yuanying |
author_sort | Yuan, Guangdi |
collection | PubMed |
description | Multiparent Advanced Generation Inter-Cross (MAGIC) population is an ideal genetic and breeding material for quantitative trait locus (QTL) mapping and molecular breeding. In this study, a MAGIC population derived from eight tobacco parents was developed. Eight parents and 560 homozygous lines were genotyped by a 430K single-nucleotide polymorphism (SNP) chip assay and phenotyped for nicotine content under different conditions. Four QTLs associated with nicotine content were detected by genome-wide association mapping (GWAS), and one major QTL, named qNIC7-1, was mapped repeatedly under different conditions. Furthermore, by combining forward mapping, bioinformatics analysis and gene editing, we identified an ethylene response factor (ERF) transcription factor as a candidate gene underlying the major QTL qNIC7-1 for nicotine content in tobacco. A presence/absence variation (PAV) at qNIC7-1 confers changes in nicotine content. Overall, the large size of this MAGIC population, diverse genetic composition, balanced parental contributions and high levels of recombination all contribute to its value as a genetic and breeding resource. The application of the tobacco MAGIC population for QTL mapping and detecting rare allelic variation was demonstrated using nicotine content as a proof of principle. |
format | Online Article Text |
id | pubmed-9871594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98715942023-01-25 Development of a MAGIC population and high-resolution quantitative trait mapping for nicotine content in tobacco Yuan, Guangdi Sun, Kefan Yu, Wenlong Jiang, Zipeng Jiang, Caihong Liu, Dan Wen, Liuying Si, Huan Wu, Fengyan Meng, He Cheng, Lirui Yang, Aiguo Wang, Yuanying Front Plant Sci Plant Science Multiparent Advanced Generation Inter-Cross (MAGIC) population is an ideal genetic and breeding material for quantitative trait locus (QTL) mapping and molecular breeding. In this study, a MAGIC population derived from eight tobacco parents was developed. Eight parents and 560 homozygous lines were genotyped by a 430K single-nucleotide polymorphism (SNP) chip assay and phenotyped for nicotine content under different conditions. Four QTLs associated with nicotine content were detected by genome-wide association mapping (GWAS), and one major QTL, named qNIC7-1, was mapped repeatedly under different conditions. Furthermore, by combining forward mapping, bioinformatics analysis and gene editing, we identified an ethylene response factor (ERF) transcription factor as a candidate gene underlying the major QTL qNIC7-1 for nicotine content in tobacco. A presence/absence variation (PAV) at qNIC7-1 confers changes in nicotine content. Overall, the large size of this MAGIC population, diverse genetic composition, balanced parental contributions and high levels of recombination all contribute to its value as a genetic and breeding resource. The application of the tobacco MAGIC population for QTL mapping and detecting rare allelic variation was demonstrated using nicotine content as a proof of principle. Frontiers Media S.A. 2023-01-10 /pmc/articles/PMC9871594/ /pubmed/36704165 http://dx.doi.org/10.3389/fpls.2022.1086950 Text en Copyright © 2023 Yuan, Sun, Yu, Jiang, Jiang, Liu, Wen, Si, Wu, Meng, Cheng, Yang and Wang 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 Yuan, Guangdi Sun, Kefan Yu, Wenlong Jiang, Zipeng Jiang, Caihong Liu, Dan Wen, Liuying Si, Huan Wu, Fengyan Meng, He Cheng, Lirui Yang, Aiguo Wang, Yuanying Development of a MAGIC population and high-resolution quantitative trait mapping for nicotine content in tobacco |
title | Development of a MAGIC population and high-resolution quantitative trait mapping for nicotine content in tobacco |
title_full | Development of a MAGIC population and high-resolution quantitative trait mapping for nicotine content in tobacco |
title_fullStr | Development of a MAGIC population and high-resolution quantitative trait mapping for nicotine content in tobacco |
title_full_unstemmed | Development of a MAGIC population and high-resolution quantitative trait mapping for nicotine content in tobacco |
title_short | Development of a MAGIC population and high-resolution quantitative trait mapping for nicotine content in tobacco |
title_sort | development of a magic population and high-resolution quantitative trait mapping for nicotine content in tobacco |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871594/ https://www.ncbi.nlm.nih.gov/pubmed/36704165 http://dx.doi.org/10.3389/fpls.2022.1086950 |
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