Dissection of genetic architecture for desirable traits in sugarcane by integrated transcriptomics and metabolomics
文献类型： 外文期刊
作者： Li, Aomei 1 ; Wu, Qibin 1 ; Yang, Shaolin 1 ; Liu, Jiayong 1 ; Zhao, Yong 1 ; Zhao, Peifang 1 ; Wang, Lunwang 3 ; Lu, Wenxiang 4 ; Huang, Dongliang 3 ; Zhang, Yuebin 1 ; Que, Youxiong 1 ;
作者机构： 1.Chinese Acad Trop Agr Sci, Natl Key Lab Trop Crop Breeding,Inst Trop Biosci &, Sugarcane Res Inst, Yunnan Acad Agr Sci, Sanya 572024, Peoples R China
2.Fujian Agr & Forestry Univ, Natl Engn Res Ctr Sugarcane, Key Lab Sugarcane Biol & Genet Breeding, Coll Agr,Minist Agr & Rural Affairs, Fuzhou 350002, Peoples R China
3.Guangxi Acad Agr Sci, Guangxi Key Lab Sugarcane Genet Improvement, Key Lab Sugarcane Biotechnol & Genet Improvement, Sugarcane Res Inst,Minist Agr & Rural Affairs, Nanning 530007, Guangxi, Peoples R China
4.Liucheng Sugarcane Res Units, Liuzhou 545000, Peoples R China
关键词： Sugarcane elite varieties; Transcriptomics and metabolomics; Molecular basis
期刊名称：INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES （ 影响因子：8.5； 五年影响因子：8.7 ）
ISSN： 0141-8130
年卷期： 2024 年 280 卷
页码：
收录情况： SCI
摘要： Sugarcane is an important sugar and energy crop. Breeding varieties with high yield and sugar, strong stress tolerance, as well as beneficial for mechanized harvesting are the goal of sugarcane breeder. In the present study, transcriptomics and metabolomics were conducted to explore the molecular basis for outstanding performance of five elite varieties GT42, GT44, LC05-136, YZ08-1609, and YZ05-51, along with the cross-parent CP72-1210 compared to ROC22. Transcriptomics revealed a total of 18,353 differentially expressed genes (DEGs) and several regulatory pathways, including carbon fixation, starch and sucrose metabolism, phenylpropanoids biosynthesis, flavonoid biosynthesis, cysteine and methionine metabolism, as well as zeatin biosynthesis. Expression patterns of genes involved in these pathways confirmed their role in determining the agronomic traits. Besides, metabolomics disclosed 175 differentially accumulated metabolites (DAMs), including specific metabolites of amino acids and secondary metabolites. Furthermore, conjoint analysis of transcriptomics and metabolomics highlighted the manipulation of 113 genes led to changed levels of 20 metabolites associated with carbon fixation, sucrose accumulation, phytohormone response and secondary metabolism. Finally, we depicted here a blueprint outlining the genetic basis underlying the desirable traits in sugarcane. This study will accelerate the dissection of the molecular basis for sugarcane traits and provide targets for molecular breeding.
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