Biotechnology for Biofuels and Bioproducts (Nov 2023)

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

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

DOI
https://doi.org/10.1186/s13068-023-02420-1
Journal volume & issue
Vol. 16, no. 1
pp. 1 – 12

Abstract

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Abstract 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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