Chen Chen , Wanyu Xu , Gaopu Zhu , Han Zhao , Huimin Liu , Lin Wang , Tana Wuyun

Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Paulownia Research and Development Center of China, National Forestry and Grassland Administration, Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, 450003, China
Author    Correspondence author
Molecular Plant Breeding, 2022, Vol. 13, No. 27   doi: 10.5376/mpb.2022.13.0027
Received: 24 Nov., 2022    Accepted: 01 Dec., 2022    Published: 08 Dec., 2022

This article was first published in Molecular Plant Breeding in Chinese, and here was authorized to translate and publish the paper in English under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Chen C., Xu W.Y., Zhu G.P., Zhao H., Liu H.M., Wang L., and Wuyun T.N., 2022, Transcriptome sequencing analysis of flowering related genes in Prunus sibirica, Molecular Plant Breeding, 13(27): 1-10 (doi: 10.5376/mpb.2022.13.0027)

In order to explore the molecular mechanism of regulating flowering in Prunus sibirica, the transcriptome of flower buds at two different stages was sequenced to investigate the candidate genes involved in the flowering. A total of 42.04 Gb clean data were obtained, and more than 92.00% of the clean reads were mapped to the reference genome. A total of 6 850 significantly differentially expressed genes (DEGs) were found, including 2 784 significantly up-regulated and 4 066 significantly down regulated genes. We further found 392 and 346 DEGs were special in sprouting stage and full-bloom stage, respectively. KEGG enrichment analysis showed that the first three DEGs were enriched in plant hormone signal transduction, phenylpropanoid biosynthesis, and starch and sucrose metabolism, respectively. Among these DEGs, 39 genes involved in the flowering regulation pathways were obtained, including 10, 17, 5, 1, and 2 genes in vernalization pathway, photoperiod pathway, autonomous pathway, gibberellin pathway, and temperature pathway, respectively. In addition, four integrators, including SOC1, FT, and LFY, were also identified. This study will provide the valuable information for studying the candidate genes involved in the flowering and for breeding in P. sibirica.

Prunus sibirica; Flowering regulation; Differentially expressed genes; Transcriptome