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Genome-Wide Identification and Expression Analysis of Isopentenyl transferase Family Genes during Development and Resistance to Abiotic Stresses in Tea Plant ( Camellia sinensis ).

Liping ZhangMin LiJianyu FuXiaoqin HuangPeng YanShibei GeZhengzhen LiPeixian BaiLan ZhangWenyan HanXin Li
Published in: Plants (Basel, Switzerland) (2022)
The tea plant is an important economic crop and is widely cultivated. Isopentenyl transferase (IPT) is the first and rate-limiting enzyme of cytokinin (CK) signaling, which plays key roles in plant development and abiotic stress. However, the IPT gene family in tea plants has not been systematically investigated until now. The phylogenetic analyses, gene structures, and conserved domains were predicted here. The results showed that a total of 13 CsIPT members were identified from a tea plant genome database and phylogenetically classified into four groups. Furthermore, 10 CsIPT members belonged to plant ADP/ATP- IPT genes, and 3 CsIPTs were tRNA- IPT genes. There is a conserved putative ATP/GTP-binding site (P-loop motif) in all the CsIPT sequences. Based on publicly available transcriptome data as well as through RNA-seq and qRT-PCR analysis, the CsIPT genes which play key roles in the development of different tissues were identified, respectively. Furthermore, CsIPT6.2 may be involved in the response to different light treatments. CsIPT6.4 may play a key role during the dormancy and flush of the lateral buds. CsIPT5.1 may play important regulatory roles during the development of the lateral bud, leaf, and flower. CsIPT5.2 and CsIPT6.2 may both play key roles for increased resistance to cold-stress, whereas CsIPT3.2 may play a key role in improving resistance to high-temperature stress as well as drought-stress and rewatering. This study could provide a reference for further studies of CsIPT family's functions and could contribute to tea molecular breeding.
Keyphrases
  • genome wide identification
  • transcription factor
  • rna seq
  • genome wide
  • single cell
  • gene expression
  • stress induced
  • high temperature
  • high resolution
  • genome wide analysis
  • single molecule
  • deep learning