Transcriptome Profiling Provides Insights into the Early Development of Tiller Buds in High- and Low-Tillering Orchardgrass Genotypes
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Published:2023-11-15
Issue:22
Volume:24
Page:16370
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ISSN:1422-0067
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Container-title:International Journal of Molecular Sciences
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language:en
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Short-container-title:IJMS
Author:
Feng Guangyan1ORCID, Xu Xiaoheng1, Liu Wen1, Hao Feigxiang1, Yang Zhongfu1, Nie Gang1ORCID, Huang Linkai1ORCID, Peng Yan1, Bushman Shaun2, He Wei3, Zhang Xinquan1ORCID
Affiliation:
1. College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu 611130, China 2. Forage and Range Research Laboratory, United States Department of Agriculture, 695 North 1100 East, Logan, UT 84322-6300, USA 3. Grassland Research Institute, Chongqing Academy of Animal Science, Chongqing 402460, China
Abstract
Orchardgrass (Dactylis glomerata L.) is among the most economically important perennial cool-season grasses, and is considered an excellent hay, pasture, and silage crop in temperate regions worldwide. Tillering is a vital feature that dominates orchardgrass regeneration and biomass yield. However, transcriptional dynamics underlying early-stage bud development in high- and low-tillering orchardgrass genotypes are unclear. Thus, this study assessed the photosynthetic parameters, the partially essential intermediate biomolecular substances, and the transcriptome to elaborate the early-stage profiles of tiller development. Photosynthetic efficiency and morphological development significantly differed between high- (AKZ-NRGR667) and low-tillering genotypes (D20170203) at the early stage after tiller formation. The 206.41 Gb of high-quality reads revealed stage-specific differentially expressed genes (DEGs), demonstrating that signal transduction and energy-related metabolism pathways, especially photosynthetic-related processes, influence tiller induction and development. Moreover, weighted correlation network analysis (WGCNA) and functional enrichment identified distinctively co-expressed gene clusters and four main regulatory pathways, including chlorophyll, lutein, nitrogen, and gibberellic acid (GA) metabolism pathways. Therefore, photosynthesis, carbohydrate synthesis, nitrogen efficient utilization, and phytohormone signaling pathways are closely and intrinsically linked at the transcriptional level. These findings enhance our understanding of tillering in orchardgrass and perennial grasses, providing a new breeding strategy for improving forage biomass yield.
Funder
Forage Breeding Project of Sichuan Province Modern Agro-industry Technology Research System National Natural Science Foundation of China Natural Science Foundation of Chongqing Sichuan Province’s Science Fund for International Cooperation Sichuan Province’s Science Fund for Distinguished Young Scholars Chongqing Financial Special Funds Project
Subject
Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis
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