Genetic basis of heterosis for yield and yield components explored by QTL mapping across four genetic populations in upland cotton
Abstract Background Quantitative trait loci (QTL) mapping provides a powerful tool to unravel the genetic bases of cotton yield and its components, as well as their heterosis. In the present study, the genetic basis underlying inbreeding depression and heterosis for yield and yield components of upl...
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BMC
2018-12-01
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| Series: | BMC Genomics |
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| Online Access: | http://link.springer.com/article/10.1186/s12864-018-5289-2 |
| _version_ | 1818290008309628928 |
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| author | Cong Li Tianlun Zhao Hurong Yu Cheng Li Xiaolei Deng Yating Dong Fan Zhang Yi Zhang Lei Mei Jinhong Chen Shuijin Zhu |
| author_facet | Cong Li Tianlun Zhao Hurong Yu Cheng Li Xiaolei Deng Yating Dong Fan Zhang Yi Zhang Lei Mei Jinhong Chen Shuijin Zhu |
| author_sort | Cong Li |
| collection | DOAJ |
| description | Abstract Background Quantitative trait loci (QTL) mapping provides a powerful tool to unravel the genetic bases of cotton yield and its components, as well as their heterosis. In the present study, the genetic basis underlying inbreeding depression and heterosis for yield and yield components of upland cotton was investigated in recombinant inbred line (RIL), immortalized F2 (IF2), and two backcross (BCF1) populations based on a high-density SNP linkage map across four environments. Results Significant inbreeding depression of fruit branches per plant (FB), boll numbers per plant (BN), seed cotton yield (SY), and lint yield (LY) in RIL population and high levels of heterosis for SY, LY, and boll weight (BW) in IF2 and two BCF1 populations were observed. A total of 285 QTLs were identified in the four related populations using a composite interval mapping approach. In the IF2 population, 26.60% partially dominant (PD) QTLs and 71.28% over-dominant (OD) QTLs were identified. In two BCF1 populations, 42.41% additive QTLs, 4.19% PD QTLs, and 53.40% OD QTLs were detected. For multi-environment analysis, phenotypic variances (PV) explained by e-QTLs were higher than those by m-QTLs in each of the populations, and the average PV of m-QTLs and e-QTLs explained by QTL × environment interactions occupied a considerable proportion of total PV in all seven datasets. Conclusions At the single-locus level, the genetic bases of heterosis varied in different populations. Partial dominance and over-dominance were the main cause of heterosis in the IF2 population, while additive effects and over-dominance were the main genetic bases of heterosis in two BCF1 populations. In addition, the various genetic components to heterosis presented trait specificity. In the multi-environment model analysis, epistasis was a common feature of most loci associated with inbreeding depression and heterosis. Furthermore, the environment was a critical factor in the expression of these m-QTLs and e-QTLs. Altogether, additive effects, over-dominance, epistasis and environmental interactions all contributed to the heterosis of yield and its components in upland cotton, with over-dominance and epistasis more important than the others. |
| first_indexed | 2024-12-13T02:21:20Z |
| format | Article |
| id | doaj.art-1b156b789a564674883d76a5f9526332 |
| institution | Directory Open Access Journal |
| issn | 1471-2164 |
| language | English |
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| spelling | doaj.art-1b156b789a564674883d76a5f95263322022-12-22T00:02:46ZengBMCBMC Genomics1471-21642018-12-0119111610.1186/s12864-018-5289-2Genetic basis of heterosis for yield and yield components explored by QTL mapping across four genetic populations in upland cottonCong Li0Tianlun Zhao1Hurong Yu2Cheng Li3Xiaolei Deng4Yating Dong5Fan Zhang6Yi Zhang7Lei Mei8Jinhong Chen9Shuijin Zhu10Department of Agronomy, Zhejiang UniversityDepartment of Agronomy, Zhejiang UniversityDepartment of Agronomy, Zhejiang UniversityDepartment of Agronomy, Zhejiang UniversityDepartment of Agronomy, Zhejiang UniversityDepartment of Agronomy, Zhejiang UniversityDepartment of Agronomy, Zhejiang UniversityDepartment of Agronomy, Zhejiang UniversityDepartment of Agronomy, Zhejiang UniversityDepartment of Agronomy, Zhejiang UniversityDepartment of Agronomy, Zhejiang UniversityAbstract Background Quantitative trait loci (QTL) mapping provides a powerful tool to unravel the genetic bases of cotton yield and its components, as well as their heterosis. In the present study, the genetic basis underlying inbreeding depression and heterosis for yield and yield components of upland cotton was investigated in recombinant inbred line (RIL), immortalized F2 (IF2), and two backcross (BCF1) populations based on a high-density SNP linkage map across four environments. Results Significant inbreeding depression of fruit branches per plant (FB), boll numbers per plant (BN), seed cotton yield (SY), and lint yield (LY) in RIL population and high levels of heterosis for SY, LY, and boll weight (BW) in IF2 and two BCF1 populations were observed. A total of 285 QTLs were identified in the four related populations using a composite interval mapping approach. In the IF2 population, 26.60% partially dominant (PD) QTLs and 71.28% over-dominant (OD) QTLs were identified. In two BCF1 populations, 42.41% additive QTLs, 4.19% PD QTLs, and 53.40% OD QTLs were detected. For multi-environment analysis, phenotypic variances (PV) explained by e-QTLs were higher than those by m-QTLs in each of the populations, and the average PV of m-QTLs and e-QTLs explained by QTL × environment interactions occupied a considerable proportion of total PV in all seven datasets. Conclusions At the single-locus level, the genetic bases of heterosis varied in different populations. Partial dominance and over-dominance were the main cause of heterosis in the IF2 population, while additive effects and over-dominance were the main genetic bases of heterosis in two BCF1 populations. In addition, the various genetic components to heterosis presented trait specificity. In the multi-environment model analysis, epistasis was a common feature of most loci associated with inbreeding depression and heterosis. Furthermore, the environment was a critical factor in the expression of these m-QTLs and e-QTLs. Altogether, additive effects, over-dominance, epistasis and environmental interactions all contributed to the heterosis of yield and its components in upland cotton, with over-dominance and epistasis more important than the others.http://link.springer.com/article/10.1186/s12864-018-5289-2Immortalized F2 populationBackcross populationHybridInbreeding depressionOver-dominanceEpistasis |
| spellingShingle | Cong Li Tianlun Zhao Hurong Yu Cheng Li Xiaolei Deng Yating Dong Fan Zhang Yi Zhang Lei Mei Jinhong Chen Shuijin Zhu Genetic basis of heterosis for yield and yield components explored by QTL mapping across four genetic populations in upland cotton BMC Genomics Immortalized F2 population Backcross population Hybrid Inbreeding depression Over-dominance Epistasis |
| title | Genetic basis of heterosis for yield and yield components explored by QTL mapping across four genetic populations in upland cotton |
| title_full | Genetic basis of heterosis for yield and yield components explored by QTL mapping across four genetic populations in upland cotton |
| title_fullStr | Genetic basis of heterosis for yield and yield components explored by QTL mapping across four genetic populations in upland cotton |
| title_full_unstemmed | Genetic basis of heterosis for yield and yield components explored by QTL mapping across four genetic populations in upland cotton |
| title_short | Genetic basis of heterosis for yield and yield components explored by QTL mapping across four genetic populations in upland cotton |
| title_sort | genetic basis of heterosis for yield and yield components explored by qtl mapping across four genetic populations in upland cotton |
| topic | Immortalized F2 population Backcross population Hybrid Inbreeding depression Over-dominance Epistasis |
| url | http://link.springer.com/article/10.1186/s12864-018-5289-2 |
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