Genomics Proteomics & BioinformaticsBioinformaticsPeer-reviewed journal article
Multi-omics Analyses Provide Insight into the Biosynthesis Pathways of Fucoxanthin in Isochrysis galbana
Duo CheniD, Xue Tao YuaniD, Xuehai ZhengiD, Jingping FangiD, Gang LiniD, Rongmao LiiD, Jiannan CheniD, Wenjin HeiD, Zhen J. HuangiD, Wenfang FaniD, Limin LiangiD, Chentao LiniD, Jinmao ZhuiD, Youqiang CheniD, Ting XueiD
Abstract
Isochrysis galbana is considered an ideal bait for functional foods and nutraceuticals in humans because of its high fucoxanthin (Fx) content. However, multi-omics analysis of the regulation networks for Fx biosynthesis in I. galbana has not been reported. In this study, we report a high-quality genome sequence of I. galbana LG007, which has a 92.73 Mb genome size, with a contig N50 of 6.99 Mb and 14,900 protein-coding genes. Phylogenomic inferences confirmed the monophyly of Haptophyta, with I. galbana sister to Emiliania huxleyi and Chrysochromulina tobinii. Evolutionary analysis revealed an estimated divergence time between I. galbana and E. huxleyi of ~ 133 million years ago (Mya). Gene family analysis indicated that lipid metabolism-related genes exhibited significant expansion, including IgPLMT, IgOAR1 and {Delta}-4 desaturase. Metabolome analysis showed that the content of carotenoid in I. galbana cultured under green light for 7 days was higher than that of white light, and {beta}-carotene was the main carotenoids, accounting for 79.09% of the total carotenoids. Comprehensive analysis of multi-omics analysis revealed that {beta}-carotene, antheraxanthin, zeaxanthin, and Fx content was increased by green light induction, which was significantly correlated with the expression of IgMYB98, IgZDS, IgPDS, IgLHCX2, IgZEP, IgLCYb, and IgNSY. These findings contribute to understanding Fx biosynthesis and its regulation, providing a valuable reference for food and pharmaceutical applications.
- assay: whole-genome sequencing
- assay: metabolomics
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- approach: experimental assay
- Citations
- 25
- FWCI
- 1.96
- Field percentile
- top 12%
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