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Identification of QTLs and critical genes related to sugarcane mosaic disease resistance
Mosaic viral diseases affect sugarcane productivity worldwide. Mining disease resistance-associated molecular markers or genes is a key component of disease resistance breeding programs. In the present study, 285 F(1) progeny were produced from a cross between Yuetang 93-159, a moderately resistant...
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/PMC9932707/ https://www.ncbi.nlm.nih.gov/pubmed/36818882 http://dx.doi.org/10.3389/fpls.2023.1107314 |
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author | Lu, Guilong Wang, Zhoutao Pan, Yong-Bao Wu, Qibin Cheng, Wei Xu, Fu Dai, Shunbin Li, Boyu Que, Youxiong Xu, Liping |
author_facet | Lu, Guilong Wang, Zhoutao Pan, Yong-Bao Wu, Qibin Cheng, Wei Xu, Fu Dai, Shunbin Li, Boyu Que, Youxiong Xu, Liping |
author_sort | Lu, Guilong |
collection | PubMed |
description | Mosaic viral diseases affect sugarcane productivity worldwide. Mining disease resistance-associated molecular markers or genes is a key component of disease resistance breeding programs. In the present study, 285 F(1) progeny were produced from a cross between Yuetang 93-159, a moderately resistant variety, and ROC22, a highly susceptible variety. The mosaic disease symptoms of these progenies, with ROC22 as the control, were surveyed by natural infection under 11 different environmental conditions in the field and by artificial infections with a mixed sugarcane mosaic virus (SCMV) and sorghum mosaic virus (SrMV) inoculum. Analysis of consolidated survey data enabled the identification of 29 immune, 55 highly resistant, 70 moderately resistant, 62 susceptible, and 40 highly susceptible progenies. The disease response data and a high-quality SNP genetic map were used in quantitative trait locus (QTL) mapping. The results showed that the correlation coefficients (0.26~0.91) between mosaic disease resistance and test environments were significant (p< 0.001), and that mosaic disease resistance was a highly heritable quantitative trait (H(2) = 0.85). Seven mosaic resistance QTLs were located to the SNP genetic map, each QTL accounted for 3.57% ~ 17.10% of the phenotypic variation explained (PVE). Furthermore, 110 pathogen response genes and 69 transcription factors were identified in the QTLs interval. The expression levels of nine genes (Soffic.07G0015370-1P, Soffic.09G0015410-2T, Soffic.09G0016460-1T, Soffic.09G0016460-1P, Soffic.09G0017080-3C, Soffic.09G0018730-3P, Soffic.09G0018730-3C, Soffic.09G0019920-3C and Soffic.03G0019710-2C) were significantly different between resistant and susceptible progenies, indicating their key roles in sugarcane resistance to SCMV and SrMV infection. The seven QTLs and nine genes can provide a certain scientific reference to help sugarcane breeders develop varieties resistant to mosaic diseases. |
format | Online Article Text |
id | pubmed-9932707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99327072023-02-17 Identification of QTLs and critical genes related to sugarcane mosaic disease resistance Lu, Guilong Wang, Zhoutao Pan, Yong-Bao Wu, Qibin Cheng, Wei Xu, Fu Dai, Shunbin Li, Boyu Que, Youxiong Xu, Liping Front Plant Sci Plant Science Mosaic viral diseases affect sugarcane productivity worldwide. Mining disease resistance-associated molecular markers or genes is a key component of disease resistance breeding programs. In the present study, 285 F(1) progeny were produced from a cross between Yuetang 93-159, a moderately resistant variety, and ROC22, a highly susceptible variety. The mosaic disease symptoms of these progenies, with ROC22 as the control, were surveyed by natural infection under 11 different environmental conditions in the field and by artificial infections with a mixed sugarcane mosaic virus (SCMV) and sorghum mosaic virus (SrMV) inoculum. Analysis of consolidated survey data enabled the identification of 29 immune, 55 highly resistant, 70 moderately resistant, 62 susceptible, and 40 highly susceptible progenies. The disease response data and a high-quality SNP genetic map were used in quantitative trait locus (QTL) mapping. The results showed that the correlation coefficients (0.26~0.91) between mosaic disease resistance and test environments were significant (p< 0.001), and that mosaic disease resistance was a highly heritable quantitative trait (H(2) = 0.85). Seven mosaic resistance QTLs were located to the SNP genetic map, each QTL accounted for 3.57% ~ 17.10% of the phenotypic variation explained (PVE). Furthermore, 110 pathogen response genes and 69 transcription factors were identified in the QTLs interval. The expression levels of nine genes (Soffic.07G0015370-1P, Soffic.09G0015410-2T, Soffic.09G0016460-1T, Soffic.09G0016460-1P, Soffic.09G0017080-3C, Soffic.09G0018730-3P, Soffic.09G0018730-3C, Soffic.09G0019920-3C and Soffic.03G0019710-2C) were significantly different between resistant and susceptible progenies, indicating their key roles in sugarcane resistance to SCMV and SrMV infection. The seven QTLs and nine genes can provide a certain scientific reference to help sugarcane breeders develop varieties resistant to mosaic diseases. Frontiers Media S.A. 2023-02-02 /pmc/articles/PMC9932707/ /pubmed/36818882 http://dx.doi.org/10.3389/fpls.2023.1107314 Text en Copyright © 2023 Lu, Wang, Pan, Wu, Cheng, Xu, Dai, Li, Que and Xu 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 Lu, Guilong Wang, Zhoutao Pan, Yong-Bao Wu, Qibin Cheng, Wei Xu, Fu Dai, Shunbin Li, Boyu Que, Youxiong Xu, Liping Identification of QTLs and critical genes related to sugarcane mosaic disease resistance |
title | Identification of QTLs and critical genes related to sugarcane mosaic disease resistance |
title_full | Identification of QTLs and critical genes related to sugarcane mosaic disease resistance |
title_fullStr | Identification of QTLs and critical genes related to sugarcane mosaic disease resistance |
title_full_unstemmed | Identification of QTLs and critical genes related to sugarcane mosaic disease resistance |
title_short | Identification of QTLs and critical genes related to sugarcane mosaic disease resistance |
title_sort | identification of qtls and critical genes related to sugarcane mosaic disease resistance |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932707/ https://www.ncbi.nlm.nih.gov/pubmed/36818882 http://dx.doi.org/10.3389/fpls.2023.1107314 |
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