Genetic Linkage Map Construction and QTL Mapping for Juvenile Leaf and Growth Traits in <i>Camellia oleifera</i>
Advancement of the oil tea industry requires the development of high-yielding and superior-quality varieties of <i>Camellia oleifera</i>, a major oilseed crop. However, traditional breeding methods, hampered by lengthy cycles and low selection accuracy, significantly constrain the breedi...
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MDPI AG
2024-12-01
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| Online Access: | https://www.mdpi.com/2073-4395/14/12/3022 |
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| author | Ling Ye Yu Li Yanxuan Liu Lexin Zhou Jia’ni Li Tian Liang Weiwei Xie Yiqing Xie Zhizhen Li Huanhuan Lv Na Hou Gang Wang Guomin Liu Guohua Zheng Shipin Chen Hui Chen |
| author_facet | Ling Ye Yu Li Yanxuan Liu Lexin Zhou Jia’ni Li Tian Liang Weiwei Xie Yiqing Xie Zhizhen Li Huanhuan Lv Na Hou Gang Wang Guomin Liu Guohua Zheng Shipin Chen Hui Chen |
| author_sort | Ling Ye |
| collection | DOAJ |
| description | Advancement of the oil tea industry requires the development of high-yielding and superior-quality varieties of <i>Camellia oleifera</i>, a major oilseed crop. However, traditional breeding methods, hampered by lengthy cycles and low selection accuracy, significantly constrain the breeding process. Identifying single nucleotide polymorphisms (SNPs) associated with target traits, and applying molecular marker-assisted selection (MAS) for these traits, can thereby shorten the breeding cycles and amplify the breeding efficiency. In this study, we utilized the hexaploid <i>C. oleifera</i> as the reference genome to identify high-quality SNPs and constructed a high-density genetic linkage map of <i>C. oleifera</i> that spanned 1566.733 cM, included 3097 SNPs, and was anchored to 15 linkage groups. Using interval mapping, we localized quantitative trait loci (QTLs) for 11 juvenile traits in <i>C. oleifera</i>, identifying 15 QTLs for growth traits and 24 QTLs for leaf traits, including 4 stable QTLs. The logarithm of odds (LOD) scores for individual QTLs ranged from 3.48 to 14.62, explaining 9.86–48.61% of the phenotypic variance. We further identified 2 SNPs associated with growth traits (marker11-951 and marker12-68) and 10 SNPs associated with leaf traits (marker11-276, marker11-410, marker11-560, marker13-16, marker13-39, marker13-110, marker13-731, marker14-701, marker14-910, and marker14-1331). These results provide valuable insights into the genetic mapping of key traits in <i>C. oleifera</i> and will contribute to the development of new varieties with high yield and superior quality in the future. |
| format | Article |
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| institution | OA Journals |
| issn | 2073-4395 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj-art-1bb50f32164a4d85a669d35e2d1352a12025-08-20T02:01:05ZengMDPI AGAgronomy2073-43952024-12-011412302210.3390/agronomy14123022Genetic Linkage Map Construction and QTL Mapping for Juvenile Leaf and Growth Traits in <i>Camellia oleifera</i>Ling Ye0Yu Li1Yanxuan Liu2Lexin Zhou3Jia’ni Li4Tian Liang5Weiwei Xie6Yiqing Xie7Zhizhen Li8Huanhuan Lv9Na Hou10Gang Wang11Guomin Liu12Guohua Zheng13Shipin Chen14Hui Chen15College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaThe Oil Tea Engineering Technological Research Center of Fujian Province, Fuzhou 350002, ChinaThe Oil Tea Engineering Technological Research Center of Fujian Province, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaGuizhou Academy of Forestry, Guiyang 550005, ChinaGuizhou Academy of Forestry, Guiyang 550005, ChinaMinhou Baisha State-owned Forest Farm of Fujian Province, Fuzhou 350100, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaAdvancement of the oil tea industry requires the development of high-yielding and superior-quality varieties of <i>Camellia oleifera</i>, a major oilseed crop. However, traditional breeding methods, hampered by lengthy cycles and low selection accuracy, significantly constrain the breeding process. Identifying single nucleotide polymorphisms (SNPs) associated with target traits, and applying molecular marker-assisted selection (MAS) for these traits, can thereby shorten the breeding cycles and amplify the breeding efficiency. In this study, we utilized the hexaploid <i>C. oleifera</i> as the reference genome to identify high-quality SNPs and constructed a high-density genetic linkage map of <i>C. oleifera</i> that spanned 1566.733 cM, included 3097 SNPs, and was anchored to 15 linkage groups. Using interval mapping, we localized quantitative trait loci (QTLs) for 11 juvenile traits in <i>C. oleifera</i>, identifying 15 QTLs for growth traits and 24 QTLs for leaf traits, including 4 stable QTLs. The logarithm of odds (LOD) scores for individual QTLs ranged from 3.48 to 14.62, explaining 9.86–48.61% of the phenotypic variance. We further identified 2 SNPs associated with growth traits (marker11-951 and marker12-68) and 10 SNPs associated with leaf traits (marker11-276, marker11-410, marker11-560, marker13-16, marker13-39, marker13-110, marker13-731, marker14-701, marker14-910, and marker14-1331). These results provide valuable insights into the genetic mapping of key traits in <i>C. oleifera</i> and will contribute to the development of new varieties with high yield and superior quality in the future.https://www.mdpi.com/2073-4395/14/12/3022<i>Camellia oleifera</i>genetic linkage mapSNPQTLjuvenile traits |
| spellingShingle | Ling Ye Yu Li Yanxuan Liu Lexin Zhou Jia’ni Li Tian Liang Weiwei Xie Yiqing Xie Zhizhen Li Huanhuan Lv Na Hou Gang Wang Guomin Liu Guohua Zheng Shipin Chen Hui Chen Genetic Linkage Map Construction and QTL Mapping for Juvenile Leaf and Growth Traits in <i>Camellia oleifera</i> Agronomy <i>Camellia oleifera</i> genetic linkage map SNP QTL juvenile traits |
| title | Genetic Linkage Map Construction and QTL Mapping for Juvenile Leaf and Growth Traits in <i>Camellia oleifera</i> |
| title_full | Genetic Linkage Map Construction and QTL Mapping for Juvenile Leaf and Growth Traits in <i>Camellia oleifera</i> |
| title_fullStr | Genetic Linkage Map Construction and QTL Mapping for Juvenile Leaf and Growth Traits in <i>Camellia oleifera</i> |
| title_full_unstemmed | Genetic Linkage Map Construction and QTL Mapping for Juvenile Leaf and Growth Traits in <i>Camellia oleifera</i> |
| title_short | Genetic Linkage Map Construction and QTL Mapping for Juvenile Leaf and Growth Traits in <i>Camellia oleifera</i> |
| title_sort | genetic linkage map construction and qtl mapping for juvenile leaf and growth traits in i camellia oleifera i |
| topic | <i>Camellia oleifera</i> genetic linkage map SNP QTL juvenile traits |
| url | https://www.mdpi.com/2073-4395/14/12/3022 |
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