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Research article - Peer-reviewed, 2021

Determination of conifer age biomarker DAL1 interactome using Y2H-seq

Chen, Xi; Zhu, Qianya; Nie, Yumeng; Han, Fangxu; Li, Yue; Wu, Harry; Niu, Shihui


Age is a sophisticated physiological signal that ensures the sequence of different developmental stages in organisms. The regulation of ageing pathways appears to differ between gymnosperms and angiosperms. We previously identified DAL1 as a conserved conifer age biomarker that plays a crucial role in the transition from vegetative to reproductive life-history phases in pines. Therefore, elucidating the specific interaction events related to DAL1 is key to understanding how age drives conifer development. Large-scale yeast two-hybrid (Y2H) analysis followed by next-generation high-throughput sequencing (Y2H-seq) allowed us to identify 135 PtDAL1 interacting proteins in Pinus tabuliformis. Our study found that PtDAL1 interacting proteins showed an ageing-related module, with sophisticated interacting networks composed of transcription factors (TFs), transcriptional regulators (TRs), and kinases. These interacting proteins are produced in response to a variety of phytohormones and environmental signals, and are likely involved in wood formation, needle development, oleoresin terpenoids biosynthesis, and reproductive development. In this study, we propose a novel regulation model of conifer ageing pathways whereby PtDAL1 coordinates different environmental stimuli and interacts with corresponding proteins to regulate appropriate development.


Ageing; Conifer; DAL1; Proteins-interaction; Y2H-seq

Published in

Forestry Research
2021, volume: 1, article number: 12

Authors' information

Chen, Xi
Beijing Forestry University
Zhu, Qianya
Beijing Forestry University
Nie, Yumeng
Beijing Forestry University
Han, Fangxu
Beijing Forestry University
Li, Yue
Beijing Forestry University
Swedish University of Agricultural Sciences, Department of Forest Genetics and Plant Physiology
Niu, Shihui
Beijing Forestry University

UKÄ Subject classification

Developmental Biology
Medical Biotechnology
Bioinformatics and Systems Biology

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