Oil candidate genes in seeds of cotton (Gossypium hirsutum L.) and functional validation of GhPXN1

文献类型： 外文期刊

第一作者： Gao, Chenxu

作者： Gao, Chenxu;Yang, Zhaoen;Zhang, Yihao;Yu, Hang;Liu, Renju;Hu, Wei;Yang, Jiaxiang;Yu, Jiwen;Zhang, Zhibin;Han, Xiao;Yang, Zhaoen;Yan, Qingdi;Zhang, Yihao;Song, Jikun;Yang, Lan;Wu, Man;Liu, Jisheng;Yu, Jiwen;Zhang, Zhibin;Xie, Zongming;Han, Xiao;Xu, Zhenzhen

作者机构：

关键词： Gossypium hirsutum L.; Cottonseed oil content; Comparative transcriptome; Fatty acid biosynthesis; Gene introgression

期刊名称：BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS

ISSN：

年卷期： 2023 年 16 卷 1 期

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收录情况： SCI

摘要： Background Cottonseed oil is a promising edible plant oil with abundant unsaturated fatty acids. However, few studies have been conducted to explore the characteristics of cottonseed oil. The molecular mechanism of cottonseed oil accumulation remains unclear.Results In the present study, we conducted comparative transcriptome and weighted gene co-expression network (WGCNA) analysis for two G. hirsutum materials with significant difference in cottonseed oil content. Results showed that, between the high oil genotype 6053 (H6053) and the low oil genotype 2052 (L2052), a total of 412, 507, 1,121, 1,953, and 2,019 differentially expressed genes (DEGs) were detected at 10, 15, 20, 25, and 30 DPA, respectively. Remarkably, a large number of the down-regulated DEGs were enriched in the phenylalanine metabolic processes. Investigation into the dynamic changes of expression profiling of genes associated with both phenylalanine metabolism and oil biosynthesis has shed light on a significant competitive relationship in substrate allocation during cottonseed development. Additionally, the WGCNA analysis of all DEGs identified eight distinct modules, one of which includes GhPXN1, a gene closely associated with oil accumulation. Through phylogenetic analysis, we hypothesized that GhPXN1 in G. hirsutum might have been introgressed from G. arboreum. Overexpression of the GhPXN1 gene in tobacco leaf suggested a significant reduction in oil content compared to the empty-vector transformants. Furthermore, ten other crucial oil candidate genes identified in this study were also validated using quantitative real-time PCR (qRT-PCR).Conclusions Overall, this study enhances our comprehension of the molecular mechanisms underlying cottonseed oil accumulation.

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