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Quantitative trait loci (QTL) analysis of leaf related traits in spinach (Spinacia oleracea L.)
BACKGROUND: Spinach (Spinacia oleracea L.) is an important leafy vegetable crop, and leaf-related traits including leaf length, leaf width, and petiole length, are important commercial traits. However, the underlying genes remain unclear. The objective of the study was to conduct QTL mapping of leaf...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223354/ https://www.ncbi.nlm.nih.gov/pubmed/34167476 http://dx.doi.org/10.1186/s12870-021-03092-5 |
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author | Liu, Zhiyuan She, Hongbing Xu, Zhaosheng Zhang, Helong Li, Guoliang Zhang, Shifan Qian, Wei |
author_facet | Liu, Zhiyuan She, Hongbing Xu, Zhaosheng Zhang, Helong Li, Guoliang Zhang, Shifan Qian, Wei |
author_sort | Liu, Zhiyuan |
collection | PubMed |
description | BACKGROUND: Spinach (Spinacia oleracea L.) is an important leafy vegetable crop, and leaf-related traits including leaf length, leaf width, and petiole length, are important commercial traits. However, the underlying genes remain unclear. The objective of the study was to conduct QTL mapping of leaf-related traits in spinach. RESULTS: A BC(1) population was used to construct the linkage map and for QTL mapping of leaf length, leaf width, petiole length, and the ratio of leaf length to width in 2015 and 2019. Two genetic linkage maps were constructed by specific locus amplified fragment sequencing (SLAF-seq), and kompetitive allele specific PCR (KASP) technology, respectively using BC(1) population in 2015. Based on the results of 2015, the specific linkage groups (LG) detected QTLs were generated using BC(1) population in 2019. A total of 13 QTLs were detected for leaf-related traits, only five QTLs being repeatedly detected in multiple years or linkage maps. Interestingly, the major QTLs of leaf length, petiole length, and the ratio of leaf length to width were highly associated with the same SNP markers (KM3102838, KM1360385 and KM2191098). A major QTL of leaf width was mapped on chromosome 1 from 41.470−42.045 Mb. And 44 genes were identified within the region. Based on the GO analysis, these genes were significantly enriched on ribonuclease, lyase activity, phosphodiester bond hydrolysis process, and cell wall component, thus it might change cell size to determine leaves shape. CONCLUSIONS: Five QTLs for leaf-related traits were repeatedly detected at least two years or linkage maps. The major QTLs of leaf length, petiole length, and the ratio of leaf length to width were mapped on the same loci. And three genes (Spo10792, Spo21018, and Spo21019) were identified as important candidate genes for leaf width. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03092-5. |
format | Online Article Text |
id | pubmed-8223354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82233542021-06-24 Quantitative trait loci (QTL) analysis of leaf related traits in spinach (Spinacia oleracea L.) Liu, Zhiyuan She, Hongbing Xu, Zhaosheng Zhang, Helong Li, Guoliang Zhang, Shifan Qian, Wei BMC Plant Biol Research Article BACKGROUND: Spinach (Spinacia oleracea L.) is an important leafy vegetable crop, and leaf-related traits including leaf length, leaf width, and petiole length, are important commercial traits. However, the underlying genes remain unclear. The objective of the study was to conduct QTL mapping of leaf-related traits in spinach. RESULTS: A BC(1) population was used to construct the linkage map and for QTL mapping of leaf length, leaf width, petiole length, and the ratio of leaf length to width in 2015 and 2019. Two genetic linkage maps were constructed by specific locus amplified fragment sequencing (SLAF-seq), and kompetitive allele specific PCR (KASP) technology, respectively using BC(1) population in 2015. Based on the results of 2015, the specific linkage groups (LG) detected QTLs were generated using BC(1) population in 2019. A total of 13 QTLs were detected for leaf-related traits, only five QTLs being repeatedly detected in multiple years or linkage maps. Interestingly, the major QTLs of leaf length, petiole length, and the ratio of leaf length to width were highly associated with the same SNP markers (KM3102838, KM1360385 and KM2191098). A major QTL of leaf width was mapped on chromosome 1 from 41.470−42.045 Mb. And 44 genes were identified within the region. Based on the GO analysis, these genes were significantly enriched on ribonuclease, lyase activity, phosphodiester bond hydrolysis process, and cell wall component, thus it might change cell size to determine leaves shape. CONCLUSIONS: Five QTLs for leaf-related traits were repeatedly detected at least two years or linkage maps. The major QTLs of leaf length, petiole length, and the ratio of leaf length to width were mapped on the same loci. And three genes (Spo10792, Spo21018, and Spo21019) were identified as important candidate genes for leaf width. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03092-5. BioMed Central 2021-06-24 /pmc/articles/PMC8223354/ /pubmed/34167476 http://dx.doi.org/10.1186/s12870-021-03092-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Liu, Zhiyuan She, Hongbing Xu, Zhaosheng Zhang, Helong Li, Guoliang Zhang, Shifan Qian, Wei Quantitative trait loci (QTL) analysis of leaf related traits in spinach (Spinacia oleracea L.) |
title | Quantitative trait loci (QTL) analysis of leaf related traits in spinach (Spinacia oleracea L.) |
title_full | Quantitative trait loci (QTL) analysis of leaf related traits in spinach (Spinacia oleracea L.) |
title_fullStr | Quantitative trait loci (QTL) analysis of leaf related traits in spinach (Spinacia oleracea L.) |
title_full_unstemmed | Quantitative trait loci (QTL) analysis of leaf related traits in spinach (Spinacia oleracea L.) |
title_short | Quantitative trait loci (QTL) analysis of leaf related traits in spinach (Spinacia oleracea L.) |
title_sort | quantitative trait loci (qtl) analysis of leaf related traits in spinach (spinacia oleracea l.) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223354/ https://www.ncbi.nlm.nih.gov/pubmed/34167476 http://dx.doi.org/10.1186/s12870-021-03092-5 |
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