Publication details

High-depth transcriptome reveals differences in natural haploid Ginkgo biloba L. due to the effect of reduced gene dosage

Authors

HU Yaping ŠMARDA Petr LIU Ganping WANG Beibei GAO Xiaoge GUO Qirong

Year of publication 2022
Type Article in Periodical
Magazine / Source International Journal of Molecular Sciences
MU Faculty or unit

Faculty of Science

Citation
Web odkaz na článek na stránkách vydavatelství
Doi http://dx.doi.org/10.3390/ijms23168958
Keywords ginkgo; haploid; transcriptome; gene dosage; mechanism
Description As a representative of gymnosperms, the discovery of natural haploids of Ginkgo biloba L. has opened a new door for its research. Haploid germplasm has always been a research material of interest to researchers because of its special characteristics. However, we do not yet know the special features and mechanisms of haploid ginkgo following this significant discovery. In this study, we conducted a homogenous garden experiment on haploid and diploid ginkgo to explore the differences in growth, physiology and biochemistry between the two. Additionally, a high-depth transcriptome database of both was established to reveal their transcriptional differences. The results showed that haploid ginkgo exhibited weaker growth potential, lower photosynthesis and flavonoid accumulation capacity. Although the up-regulated expression of DEGs in haploid ginkgo reached 46.7% of the total DEGs in the whole transcriptome data, the gene sets of photosynthesis metabolic, glycolysis/gluconeogenesis and flavonoid biosynthesis pathways, which were significantly related to these differences, were found to show a significant down-regulated expression trend by gene set enrichment analysis (GSEA). We further found that the major metabolic pathways in the haploid ginkgo transcriptional database were down-regulated in expression compared to the diploid. This study reveals for the first time the phenotypic, growth and physiological differences in haploid ginkgos, and demonstrates their transcriptional patterns based on high-depth transcriptomic data, laying the foundation for subsequent in-depth studies of haploid ginkgos.

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