Identification and Pyramiding Major QTL Loci for Simultaneously Enhancing Aflatoxin Resistance and Yield Components in Peanut
Peanut is susceptible to <i>Aspergillus flavus</i> infection, and the consequent aflatoxin contamination has been recognized as an important risk factor affecting food safety and industry development. Planting peanut varieties with resistance to aflatoxin contamination is regarded as an...
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MDPI AG
2023-03-01
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| Series: | Genes |
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| Online Access: | https://www.mdpi.com/2073-4425/14/3/625 |
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| author | Gaorui Jin Nian Liu Bolun Yu Yifei Jiang Huaiyong Luo Li Huang Xiaojing Zhou Liying Yan Yanping Kang Dongxin Huai Yinbing Ding Yuning Chen Xin Wang Huifang Jiang Yong Lei Jinxiong Shen Boshou Liao |
| author_facet | Gaorui Jin Nian Liu Bolun Yu Yifei Jiang Huaiyong Luo Li Huang Xiaojing Zhou Liying Yan Yanping Kang Dongxin Huai Yinbing Ding Yuning Chen Xin Wang Huifang Jiang Yong Lei Jinxiong Shen Boshou Liao |
| author_sort | Gaorui Jin |
| collection | DOAJ |
| description | Peanut is susceptible to <i>Aspergillus flavus</i> infection, and the consequent aflatoxin contamination has been recognized as an important risk factor affecting food safety and industry development. Planting peanut varieties with resistance to aflatoxin contamination is regarded as an ideal approach to decrease the risk in food safety, but most of the available resistant varieties have not been extensively used in production because of their low yield potential mostly due to possessing small pods and seeds. Hence, it is highly necessary to integrate resistance to aflatoxin and large seed weight. In this study, an RIL population derived from a cross between Zhonghua 16 with high yield and J 11 with resistance to infection of <i>A. flavus</i> and aflatoxin production, was used to identify quantitative trait locus (QTL) for aflatoxin production (AP) resistance and hundred-seed weight (HSW). From combined analysis using a high-density genetic linkage map constructed, 11 QTLs for AP resistance with 4.61–11.42% phenotypic variation explanation (PVE) and six QTLs for HSW with 3.20–28.48% PVE were identified, including three major QTLs for AP resistance (<i>qAFTA05.1</i>, <i>qAFTB05.2</i> and <i>qAFTB06.3</i>) and three for HSW (<i>qHSWA05</i>, <i>qHSWA08</i> and <i>qHSWB06</i>). In addition, <i>qAFTA05.1</i>, <i>qAFTB06.3</i>, <i>qHSWA05</i>, <i>qHSWA08</i> and <i>qHSWB06</i> were detected in multiple environments. The aflatoxin contents under artificial inoculation were decreased by 34.77–47.67% in those segregated lines harboring <i>qAFTA05.1</i>, <i>qAFTB05.2</i> and <i>qAFTB06.3</i>, while the HSWs were increased by 47.56–49.46 g in other lines harboring <i>qHSWA05</i>, <i>qHSWA08</i> and <i>qHSWB06</i>. Conditional QTL mapping indicated that HSW and percent seed infection index (PSII) had no significant influence on aflatoxin content. Interestingly, the QT 1059 simultaneously harboring alleles of aflatoxin content including <i>qAFTA05.1</i> and <i>qAFTB05.2</i>, alleles of PSII including <i>qPSIIB03.1</i>, <i>qPSIIB03.2</i>, and <i>qPSIIB10</i> and alleles of HSW including <i>qHSWA05</i>, <i>qHSWB06</i>, <i>qHSWA08</i> had better resistance to <i>A. flavus</i> infection and to toxin production and higher yield potential compared with the two parents of the RIL. The above identified major loci for AP resistance and HWS would be helpful for marker-assisted selection in peanut breeding. |
| first_indexed | 2024-03-11T06:29:58Z |
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| id | doaj.art-54423b3f211747ff9b01a1444c7231de |
| institution | Directory Open Access Journal |
| issn | 2073-4425 |
| language | English |
| last_indexed | 2024-03-11T06:29:58Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Genes |
| spelling | doaj.art-54423b3f211747ff9b01a1444c7231de2023-11-17T11:17:11ZengMDPI AGGenes2073-44252023-03-0114362510.3390/genes14030625Identification and Pyramiding Major QTL Loci for Simultaneously Enhancing Aflatoxin Resistance and Yield Components in PeanutGaorui Jin0Nian Liu1Bolun Yu2Yifei Jiang3Huaiyong Luo4Li Huang5Xiaojing Zhou6Liying Yan7Yanping Kang8Dongxin Huai9Yinbing Ding10Yuning Chen11Xin Wang12Huifang Jiang13Yong Lei14Jinxiong Shen15Boshou Liao16Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaNational Key Laboratory of Crop Genetic Improvement, National Sub-Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan 430070, ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan 430062, ChinaPeanut is susceptible to <i>Aspergillus flavus</i> infection, and the consequent aflatoxin contamination has been recognized as an important risk factor affecting food safety and industry development. Planting peanut varieties with resistance to aflatoxin contamination is regarded as an ideal approach to decrease the risk in food safety, but most of the available resistant varieties have not been extensively used in production because of their low yield potential mostly due to possessing small pods and seeds. Hence, it is highly necessary to integrate resistance to aflatoxin and large seed weight. In this study, an RIL population derived from a cross between Zhonghua 16 with high yield and J 11 with resistance to infection of <i>A. flavus</i> and aflatoxin production, was used to identify quantitative trait locus (QTL) for aflatoxin production (AP) resistance and hundred-seed weight (HSW). From combined analysis using a high-density genetic linkage map constructed, 11 QTLs for AP resistance with 4.61–11.42% phenotypic variation explanation (PVE) and six QTLs for HSW with 3.20–28.48% PVE were identified, including three major QTLs for AP resistance (<i>qAFTA05.1</i>, <i>qAFTB05.2</i> and <i>qAFTB06.3</i>) and three for HSW (<i>qHSWA05</i>, <i>qHSWA08</i> and <i>qHSWB06</i>). In addition, <i>qAFTA05.1</i>, <i>qAFTB06.3</i>, <i>qHSWA05</i>, <i>qHSWA08</i> and <i>qHSWB06</i> were detected in multiple environments. The aflatoxin contents under artificial inoculation were decreased by 34.77–47.67% in those segregated lines harboring <i>qAFTA05.1</i>, <i>qAFTB05.2</i> and <i>qAFTB06.3</i>, while the HSWs were increased by 47.56–49.46 g in other lines harboring <i>qHSWA05</i>, <i>qHSWA08</i> and <i>qHSWB06</i>. Conditional QTL mapping indicated that HSW and percent seed infection index (PSII) had no significant influence on aflatoxin content. Interestingly, the QT 1059 simultaneously harboring alleles of aflatoxin content including <i>qAFTA05.1</i> and <i>qAFTB05.2</i>, alleles of PSII including <i>qPSIIB03.1</i>, <i>qPSIIB03.2</i>, and <i>qPSIIB10</i> and alleles of HSW including <i>qHSWA05</i>, <i>qHSWB06</i>, <i>qHSWA08</i> had better resistance to <i>A. flavus</i> infection and to toxin production and higher yield potential compared with the two parents of the RIL. The above identified major loci for AP resistance and HWS would be helpful for marker-assisted selection in peanut breeding.https://www.mdpi.com/2073-4425/14/3/625peanutaflatoxin resistanceseed weightQTL mapping |
| spellingShingle | Gaorui Jin Nian Liu Bolun Yu Yifei Jiang Huaiyong Luo Li Huang Xiaojing Zhou Liying Yan Yanping Kang Dongxin Huai Yinbing Ding Yuning Chen Xin Wang Huifang Jiang Yong Lei Jinxiong Shen Boshou Liao Identification and Pyramiding Major QTL Loci for Simultaneously Enhancing Aflatoxin Resistance and Yield Components in Peanut Genes peanut aflatoxin resistance seed weight QTL mapping |
| title | Identification and Pyramiding Major QTL Loci for Simultaneously Enhancing Aflatoxin Resistance and Yield Components in Peanut |
| title_full | Identification and Pyramiding Major QTL Loci for Simultaneously Enhancing Aflatoxin Resistance and Yield Components in Peanut |
| title_fullStr | Identification and Pyramiding Major QTL Loci for Simultaneously Enhancing Aflatoxin Resistance and Yield Components in Peanut |
| title_full_unstemmed | Identification and Pyramiding Major QTL Loci for Simultaneously Enhancing Aflatoxin Resistance and Yield Components in Peanut |
| title_short | Identification and Pyramiding Major QTL Loci for Simultaneously Enhancing Aflatoxin Resistance and Yield Components in Peanut |
| title_sort | identification and pyramiding major qtl loci for simultaneously enhancing aflatoxin resistance and yield components in peanut |
| topic | peanut aflatoxin resistance seed weight QTL mapping |
| url | https://www.mdpi.com/2073-4425/14/3/625 |
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