Huaixin Li, Yutian Xia, Wang Chen, Yanru Chen, Xin Cheng, Hongbo Chao, Shipeng Fan, Haibo Jia, Maoteng Li
{"title":"QTL和RNA-seq综合分析揭示了甘蓝型油菜新的花瓣形态位点","authors":"Huaixin Li, Yutian Xia, Wang Chen, Yanru Chen, Xin Cheng, Hongbo Chao, Shipeng Fan, Haibo Jia, Maoteng Li","doi":"10.1186/s13068-024-02551-z","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Rapeseed (<i>Brassica napus</i> L.) is one of the most important oil crops and a wildly cultivated horticultural crop. The petals of <i>B. napus</i> serve to protect the reproductive organs and attract pollinators and tourists. Understanding the genetic basis of petal morphology regulation is necessary for <i>B. napus</i> breeding.</p><h3>Results</h3><p>In the present study, the quantitative trait locus (QTL) analysis for six <i>B. napus</i> petal morphology parameters in a double haploid (DH) population was conducted across six microenvironments. A total of 243 QTLs and five QTL hotspots were observed, including 232 novel QTLs and three novel QTL hotspots. The spatiotemporal transcriptomic analysis of the diversiform petals was also conducted, which indicated that the expression of plant hormone metabolic and cytoskeletal binding protein genes was variant among diversiform petals.</p><h3>Conclusions</h3><p>The integration of QTL and RNA-seq analysis revealed that plant hormones (including cytokinin, auxin, and gibberellin) and cytoskeleton were key regulators of the petal morphology. Subsequently, 61 high-confidence candidate genes of petal morphology regulation were identified, including <i>Bn.SAUR10</i>, <i>Bn.ARF18</i>, <i>Bn.KIR1</i>, <i>Bn.NGA2</i>, <i>Bn.PRF1</i>, and <i>Bn.VLN4</i>. The current study provided novel QTLs and candidate genes for further breeding <i>B. napus</i> varieties with diversiform petals.</p></div>","PeriodicalId":494,"journal":{"name":"Biotechnology for Biofuels","volume":"17 1","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://biotechnologyforbiofuels.biomedcentral.com/counter/pdf/10.1186/s13068-024-02551-z","citationCount":"0","resultStr":"{\"title\":\"An integrated QTL and RNA-seq analysis revealed new petal morphology loci in Brassica napus L.\",\"authors\":\"Huaixin Li, Yutian Xia, Wang Chen, Yanru Chen, Xin Cheng, Hongbo Chao, Shipeng Fan, Haibo Jia, Maoteng Li\",\"doi\":\"10.1186/s13068-024-02551-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Rapeseed (<i>Brassica napus</i> L.) is one of the most important oil crops and a wildly cultivated horticultural crop. The petals of <i>B. napus</i> serve to protect the reproductive organs and attract pollinators and tourists. Understanding the genetic basis of petal morphology regulation is necessary for <i>B. napus</i> breeding.</p><h3>Results</h3><p>In the present study, the quantitative trait locus (QTL) analysis for six <i>B. napus</i> petal morphology parameters in a double haploid (DH) population was conducted across six microenvironments. A total of 243 QTLs and five QTL hotspots were observed, including 232 novel QTLs and three novel QTL hotspots. The spatiotemporal transcriptomic analysis of the diversiform petals was also conducted, which indicated that the expression of plant hormone metabolic and cytoskeletal binding protein genes was variant among diversiform petals.</p><h3>Conclusions</h3><p>The integration of QTL and RNA-seq analysis revealed that plant hormones (including cytokinin, auxin, and gibberellin) and cytoskeleton were key regulators of the petal morphology. Subsequently, 61 high-confidence candidate genes of petal morphology regulation were identified, including <i>Bn.SAUR10</i>, <i>Bn.ARF18</i>, <i>Bn.KIR1</i>, <i>Bn.NGA2</i>, <i>Bn.PRF1</i>, and <i>Bn.VLN4</i>. 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An integrated QTL and RNA-seq analysis revealed new petal morphology loci in Brassica napus L.
Background
Rapeseed (Brassica napus L.) is one of the most important oil crops and a wildly cultivated horticultural crop. The petals of B. napus serve to protect the reproductive organs and attract pollinators and tourists. Understanding the genetic basis of petal morphology regulation is necessary for B. napus breeding.
Results
In the present study, the quantitative trait locus (QTL) analysis for six B. napus petal morphology parameters in a double haploid (DH) population was conducted across six microenvironments. A total of 243 QTLs and five QTL hotspots were observed, including 232 novel QTLs and three novel QTL hotspots. The spatiotemporal transcriptomic analysis of the diversiform petals was also conducted, which indicated that the expression of plant hormone metabolic and cytoskeletal binding protein genes was variant among diversiform petals.
Conclusions
The integration of QTL and RNA-seq analysis revealed that plant hormones (including cytokinin, auxin, and gibberellin) and cytoskeleton were key regulators of the petal morphology. Subsequently, 61 high-confidence candidate genes of petal morphology regulation were identified, including Bn.SAUR10, Bn.ARF18, Bn.KIR1, Bn.NGA2, Bn.PRF1, and Bn.VLN4. The current study provided novel QTLs and candidate genes for further breeding B. napus varieties with diversiform petals.
期刊介绍：
Biotechnology for Biofuels is an open access peer-reviewed journal featuring high-quality studies describing technological and operational advances in the production of biofuels, chemicals and other bioproducts. The journal emphasizes understanding and advancing the application of biotechnology and synergistic operations to improve plants and biological conversion systems for the biological production of these products from biomass, intermediates derived from biomass, or CO2, as well as upstream or downstream operations that are integral to biological conversion of biomass.
Biotechnology for Biofuels focuses on the following areas:
• Development of terrestrial plant feedstocks
• Development of algal feedstocks
• Biomass pretreatment, fractionation and extraction for biological conversion
• Enzyme engineering, production and analysis
• Bacterial genetics, physiology and metabolic engineering
• Fungal/yeast genetics, physiology and metabolic engineering
• Fermentation, biocatalytic conversion and reaction dynamics
• Biological production of chemicals and bioproducts from biomass
• Anaerobic digestion, biohydrogen and bioelectricity
• Bioprocess integration, techno-economic analysis, modelling and policy
• Life cycle assessment and environmental impact analysis
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