Dissection of genetic architecture for desirable traits in sugarcane by integrated transcriptomics and metabolomics.

Int J Biol Macromol

National Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences/Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Sanya/Kaiyuan 572024/661600, China; Key Laboratory of Sugarcane Biology and

Published: September 2024


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Article Abstract

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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http://dx.doi.org/10.1016/j.ijbiomac.2024.136009DOI Listing

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