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Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population
BACKGROUND: Maize (Zea mays ssp. mays) is the most abundantly cultivated and highly valued food commodity in the world. Oil from maize kernels is highly nutritious and important for the diet and health of humans, and it can be used as a source of bioenergy. A better understanding of genetic basis fo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293480/ https://www.ncbi.nlm.nih.gov/pubmed/34289812 http://dx.doi.org/10.1186/s12870-021-03089-0 |
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author | Fang, Hui Fu, Xiuyi Ge, Hanqiu Zhang, Aixia Shan, Tingyu Wang, Yuandong Li, Ping Wang, Baohua |
author_facet | Fang, Hui Fu, Xiuyi Ge, Hanqiu Zhang, Aixia Shan, Tingyu Wang, Yuandong Li, Ping Wang, Baohua |
author_sort | Fang, Hui |
collection | PubMed |
description | BACKGROUND: Maize (Zea mays ssp. mays) is the most abundantly cultivated and highly valued food commodity in the world. Oil from maize kernels is highly nutritious and important for the diet and health of humans, and it can be used as a source of bioenergy. A better understanding of genetic basis for maize kernel oil can help improve the oil content and quality when applied in breeding. RESULTS: In this study, a KUI3/SC55 recombinant inbred line (RIL) population, consisting of 180 individuals was constructed from a cross between inbred lines KUI3 and SC55. We phenotyped 19 oil-related traits and subsequently dissected the genetic architecture of oil-related traits in maize kernels based on a high-density genetic map. In total, 62 quantitative trait loci (QTLs), with 2 to 5 QTLs per trait, were detected in the KUI3/SC55 RIL population. Each QTL accounted for 6.7% (qSTOL1) to 31.02% (qBELI6) of phenotypic variation and the total phenotypic variation explained (PVE) of all detected QTLs for each trait ranged from 12.5% (OIL) to 52.5% (C16:0/C16:1). Of all these identified QTLs, only 5 were major QTLs located in three genomic regions on chromosome 6 and 9. In addition, two pairs of epistatic QTLs with additive effects were detected and they explained 3.3 and 2.4% of the phenotypic variation, respectively. Colocalization with a previous GWAS on oil-related traits, identified 19 genes. Of these genes, two important candidate genes, GRMZM2G101515 and GRMZM2G022558, were further verified to be associated with C20:0/C22:0 and C18:0/C20:0, respectively, according to a gene-based association analysis. The first gene encodes a kinase-related protein with unknown function, while the second gene encodes fatty acid elongase 2 (fae2) and directly participates in the biosynthesis of very long chain fatty acids in Arabidopsis. CONCLUSIONS: Our results provide insights on the genetic basis of oil-related traits and a theoretical basis for improving maize quality by marker-assisted selection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03089-0. |
format | Online Article Text |
id | pubmed-8293480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82934802021-07-21 Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population Fang, Hui Fu, Xiuyi Ge, Hanqiu Zhang, Aixia Shan, Tingyu Wang, Yuandong Li, Ping Wang, Baohua BMC Plant Biol Research BACKGROUND: Maize (Zea mays ssp. mays) is the most abundantly cultivated and highly valued food commodity in the world. Oil from maize kernels is highly nutritious and important for the diet and health of humans, and it can be used as a source of bioenergy. A better understanding of genetic basis for maize kernel oil can help improve the oil content and quality when applied in breeding. RESULTS: In this study, a KUI3/SC55 recombinant inbred line (RIL) population, consisting of 180 individuals was constructed from a cross between inbred lines KUI3 and SC55. We phenotyped 19 oil-related traits and subsequently dissected the genetic architecture of oil-related traits in maize kernels based on a high-density genetic map. In total, 62 quantitative trait loci (QTLs), with 2 to 5 QTLs per trait, were detected in the KUI3/SC55 RIL population. Each QTL accounted for 6.7% (qSTOL1) to 31.02% (qBELI6) of phenotypic variation and the total phenotypic variation explained (PVE) of all detected QTLs for each trait ranged from 12.5% (OIL) to 52.5% (C16:0/C16:1). Of all these identified QTLs, only 5 were major QTLs located in three genomic regions on chromosome 6 and 9. In addition, two pairs of epistatic QTLs with additive effects were detected and they explained 3.3 and 2.4% of the phenotypic variation, respectively. Colocalization with a previous GWAS on oil-related traits, identified 19 genes. Of these genes, two important candidate genes, GRMZM2G101515 and GRMZM2G022558, were further verified to be associated with C20:0/C22:0 and C18:0/C20:0, respectively, according to a gene-based association analysis. The first gene encodes a kinase-related protein with unknown function, while the second gene encodes fatty acid elongase 2 (fae2) and directly participates in the biosynthesis of very long chain fatty acids in Arabidopsis. CONCLUSIONS: Our results provide insights on the genetic basis of oil-related traits and a theoretical basis for improving maize quality by marker-assisted selection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03089-0. BioMed Central 2021-07-21 /pmc/articles/PMC8293480/ /pubmed/34289812 http://dx.doi.org/10.1186/s12870-021-03089-0 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 Fang, Hui Fu, Xiuyi Ge, Hanqiu Zhang, Aixia Shan, Tingyu Wang, Yuandong Li, Ping Wang, Baohua Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population |
title | Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population |
title_full | Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population |
title_fullStr | Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population |
title_full_unstemmed | Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population |
title_short | Genetic basis of maize kernel oil-related traits revealed by high-density SNP markers in a recombinant inbred line population |
title_sort | genetic basis of maize kernel oil-related traits revealed by high-density snp markers in a recombinant inbred line population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293480/ https://www.ncbi.nlm.nih.gov/pubmed/34289812 http://dx.doi.org/10.1186/s12870-021-03089-0 |
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