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Construction of a High-Density Genetic Map Based on SLAF Markers and QTL Analysis of Leaf Size in Rice

Leaf shape is an important agronomic trait for constructing an ideal plant type in rice, and high-density genetic map is facilitative in improving accuracy and efficiency for quantitative trait loci (QTL) analysis of leaf trait. In this study, a high-density genetic map contained 10,760 specific len...

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Autores principales: Wen, Yi, Fang, Yunxia, Hu, Peng, Tan, Yiqing, Wang, Yueying, Hou, Linlin, Deng, Xuemei, Wu, Hao, Zhu, Lixin, Zhu, Li, Chen, Guang, Zeng, Dali, Guo, Longbiao, Zhang, Guangheng, Gao, Zhenyu, Dong, Guojun, Ren, Deyong, Shen, Lan, Zhang, Qiang, Xue, Dawei, Qian, Qian, Hu, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411225/
https://www.ncbi.nlm.nih.gov/pubmed/32849702
http://dx.doi.org/10.3389/fpls.2020.01143
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author Wen, Yi
Fang, Yunxia
Hu, Peng
Tan, Yiqing
Wang, Yueying
Hou, Linlin
Deng, Xuemei
Wu, Hao
Zhu, Lixin
Zhu, Li
Chen, Guang
Zeng, Dali
Guo, Longbiao
Zhang, Guangheng
Gao, Zhenyu
Dong, Guojun
Ren, Deyong
Shen, Lan
Zhang, Qiang
Xue, Dawei
Qian, Qian
Hu, Jiang
author_facet Wen, Yi
Fang, Yunxia
Hu, Peng
Tan, Yiqing
Wang, Yueying
Hou, Linlin
Deng, Xuemei
Wu, Hao
Zhu, Lixin
Zhu, Li
Chen, Guang
Zeng, Dali
Guo, Longbiao
Zhang, Guangheng
Gao, Zhenyu
Dong, Guojun
Ren, Deyong
Shen, Lan
Zhang, Qiang
Xue, Dawei
Qian, Qian
Hu, Jiang
author_sort Wen, Yi
collection PubMed
description Leaf shape is an important agronomic trait for constructing an ideal plant type in rice, and high-density genetic map is facilitative in improving accuracy and efficiency for quantitative trait loci (QTL) analysis of leaf trait. In this study, a high-density genetic map contained 10,760 specific length amplified fragment sequencing (SLAF) markers was established based on 149 recombinant inbred lines (RILs) derived from the cross between Rekuangeng (RKG) and Taizhong1 (TN1), which exhibited 1,613.59 cM map distance with an average interval of 0.17 cM. A total of 24 QTLs were detected and explained the phenotypic variance ranged from 9% to 33.8% related to the leaf morphology across two areas. Among them, one uncloned major QTL qTLLW1 (qTLL1 and qTLLW1) involved in regulating leaf length and leaf width with max 33.8% and 22.5% phenotypic variance respectively was located on chromosome 1, and another major locus qTLW4 affecting leaf width accounted for max 25.3% phenotypic variance was mapped on chromosome 4. Fine mapping and qRT-PCR expression analysis indicated that qTLW4 may be allelic to NAL1 (Narrow leaf 1) gene.
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spelling pubmed-74112252020-08-25 Construction of a High-Density Genetic Map Based on SLAF Markers and QTL Analysis of Leaf Size in Rice Wen, Yi Fang, Yunxia Hu, Peng Tan, Yiqing Wang, Yueying Hou, Linlin Deng, Xuemei Wu, Hao Zhu, Lixin Zhu, Li Chen, Guang Zeng, Dali Guo, Longbiao Zhang, Guangheng Gao, Zhenyu Dong, Guojun Ren, Deyong Shen, Lan Zhang, Qiang Xue, Dawei Qian, Qian Hu, Jiang Front Plant Sci Plant Science Leaf shape is an important agronomic trait for constructing an ideal plant type in rice, and high-density genetic map is facilitative in improving accuracy and efficiency for quantitative trait loci (QTL) analysis of leaf trait. In this study, a high-density genetic map contained 10,760 specific length amplified fragment sequencing (SLAF) markers was established based on 149 recombinant inbred lines (RILs) derived from the cross between Rekuangeng (RKG) and Taizhong1 (TN1), which exhibited 1,613.59 cM map distance with an average interval of 0.17 cM. A total of 24 QTLs were detected and explained the phenotypic variance ranged from 9% to 33.8% related to the leaf morphology across two areas. Among them, one uncloned major QTL qTLLW1 (qTLL1 and qTLLW1) involved in regulating leaf length and leaf width with max 33.8% and 22.5% phenotypic variance respectively was located on chromosome 1, and another major locus qTLW4 affecting leaf width accounted for max 25.3% phenotypic variance was mapped on chromosome 4. Fine mapping and qRT-PCR expression analysis indicated that qTLW4 may be allelic to NAL1 (Narrow leaf 1) gene. Frontiers Media S.A. 2020-07-31 /pmc/articles/PMC7411225/ /pubmed/32849702 http://dx.doi.org/10.3389/fpls.2020.01143 Text en Copyright © 2020 Wen, Fang, Hu, Tan, Wang, Hou, Deng, Wu, Zhu, Zhu, Chen, Zeng, Guo, Zhang, Gao, Dong, Ren, Shen, Zhang, Xue, Qian and Hu http://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
Wen, Yi
Fang, Yunxia
Hu, Peng
Tan, Yiqing
Wang, Yueying
Hou, Linlin
Deng, Xuemei
Wu, Hao
Zhu, Lixin
Zhu, Li
Chen, Guang
Zeng, Dali
Guo, Longbiao
Zhang, Guangheng
Gao, Zhenyu
Dong, Guojun
Ren, Deyong
Shen, Lan
Zhang, Qiang
Xue, Dawei
Qian, Qian
Hu, Jiang
Construction of a High-Density Genetic Map Based on SLAF Markers and QTL Analysis of Leaf Size in Rice
title Construction of a High-Density Genetic Map Based on SLAF Markers and QTL Analysis of Leaf Size in Rice
title_full Construction of a High-Density Genetic Map Based on SLAF Markers and QTL Analysis of Leaf Size in Rice
title_fullStr Construction of a High-Density Genetic Map Based on SLAF Markers and QTL Analysis of Leaf Size in Rice
title_full_unstemmed Construction of a High-Density Genetic Map Based on SLAF Markers and QTL Analysis of Leaf Size in Rice
title_short Construction of a High-Density Genetic Map Based on SLAF Markers and QTL Analysis of Leaf Size in Rice
title_sort construction of a high-density genetic map based on slaf markers and qtl analysis of leaf size in rice
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411225/
https://www.ncbi.nlm.nih.gov/pubmed/32849702
http://dx.doi.org/10.3389/fpls.2020.01143
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