Next Article in Journal
Spatiotemporal Variations of Vegetation and Its Response to Climate Change and Human Activities in Arid Areas—A Case Study of the Shule River Basin, Northwestern China
Previous Article in Journal
Estimation of Picea Schrenkiana Canopy Density at Sub-Compartment Scale by Integration of Optical and Radar Satellite Images
Previous Article in Special Issue
CsAFS2 Gene from the Tea Plant Intercropped with Chinese Chestnut Plays an Important Role in Insect Resistance and Cold Resistance
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Genome-Wide Profiling of the Genes Related to Leaf Discoloration in Zelkova schneideriana

by
Yuhan Sun
1,†,
Longfeng Gong
1,†,
Xiao Liu
2,
Jiayu Hu
1,
Xiaoxiong Lu
1 and
Jichen Xu
1,2,*
1
State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
2
National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Forests 2024, 15(7), 1146; https://doi.org/10.3390/f15071146
Submission received: 15 May 2024 / Revised: 14 June 2024 / Accepted: 25 June 2024 / Published: 1 July 2024
(This article belongs to the Special Issue Latest Progress in Research on Forest Tree Genomics)

Abstract

Zelkova schneideriana is a landscaping flowering and deciduous plant whose leaf color changes in the fall season. In the discoloration period, the anthocyanin content in the red lines of Z. schneideriana is 3.52 times greater than that in the green lines, whereas the chlorophyll content in the red lines is 20.10 times lower. To understand the molecular mechanism of the leaf discoloration, transcriptome sequencing was performed. A total of 3965 differentially expressed genes (DEGs) were identified between the red and green lines in the discoloration period. These DEGs were mainly involved in plant–pathogen interactions, the MAPK signaling pathway, plant hormone signal transduction, flavonoid biosynthesis, and anthocyanin biosynthesis. Among them, three downregulated genes were involved in chlorophyll synthesis; these genes exhibited a maximum decrease in the red lines that was 11.13 times greater than their expression in the green lines. In contrast, 33 upregulated genes were involved in anthocyanin biosynthesis; they exhibited a maximum increase in the red lines 4645.33 times greater than their expression in the green lines. The results of an association analysis revealed that four transcription factors, including ZeBHLH42, ZeMYB123, ZeMYB113, and ZeWRKY44, positively regulated the anthocyanin synthesis genes. These results explained the mechanism underlying the discoloration of Zelkova leaves and provided a basis for molecular breeding programs of colorful plants.
Keywords: Zelkova schneideriana; leaf color discoloration; DEGs; anthocyanin; chlorophyll Zelkova schneideriana; leaf color discoloration; DEGs; anthocyanin; chlorophyll

Share and Cite

MDPI and ACS Style

Sun, Y.; Gong, L.; Liu, X.; Hu, J.; Lu, X.; Xu, J. Genome-Wide Profiling of the Genes Related to Leaf Discoloration in Zelkova schneideriana. Forests 2024, 15, 1146. https://doi.org/10.3390/f15071146

AMA Style

Sun Y, Gong L, Liu X, Hu J, Lu X, Xu J. Genome-Wide Profiling of the Genes Related to Leaf Discoloration in Zelkova schneideriana. Forests. 2024; 15(7):1146. https://doi.org/10.3390/f15071146

Chicago/Turabian Style

Sun, Yuhan, Longfeng Gong, Xiao Liu, Jiayu Hu, Xiaoxiong Lu, and Jichen Xu. 2024. "Genome-Wide Profiling of the Genes Related to Leaf Discoloration in Zelkova schneideriana" Forests 15, no. 7: 1146. https://doi.org/10.3390/f15071146

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop